id	sid	tid	token	lemma	pos
ap-4889	1	1	acta	acta	PROPN
ap-4889	1	2	polytechnica	polytechnica	PROPN
ap-4889	1	3	doi:10.14311	doi:10.14311	PROPN
ap-4889	1	4	/	/	SYM
ap-4889	1	5	ap.2018.58.0297	ap.2018.58.0297	PROPN
ap-4889	1	6	acta	acta	PROPN
ap-4889	1	7	polytechnica	polytechnica	PROPN
ap-4889	1	8	58(5):297–307	58(5):297–307	PROPN
ap-4889	1	9	,	,	PUNCT
ap-4889	1	10	2018	2018	NUM
ap-4889	1	11	©	©	PROPN
ap-4889	1	12	czech	czech	PROPN
ap-4889	1	13	technical	technical	PROPN
ap-4889	1	14	university	university	PROPN
ap-4889	1	15	in	in	ADP
ap-4889	1	16	prague	prague	PROPN
ap-4889	1	17	,	,	PUNCT
ap-4889	1	18	2018	2018	NUM
ap-4889	1	19	available	available	ADJ
ap-4889	1	20	online	online	ADV
ap-4889	1	21	at	at	ADP
ap-4889	1	22	http://ojs.cvut.cz/ojs/index.php/ap	http://ojs.cvut.cz/ojs/index.php/ap	PROPN
ap-4889	1	23	new	new	ADJ
ap-4889	1	24	approach	approach	NOUN
ap-4889	1	25	for	for	ADP
ap-4889	1	26	online	online	ADJ
ap-4889	1	27	arabic	arabic	ADJ
ap-4889	1	28	manuscript	manuscript	PROPN
ap-4889	1	29	recongnition	recongnition	NOUN
ap-4889	1	30	by	by	ADP
ap-4889	1	31	deep	deep	ADJ
ap-4889	1	32	belief	belief	NOUN
ap-4889	1	33	network	network	NOUN
ap-4889	1	34	benbakreti	benbakreti	PROPN
ap-4889	1	35	samir∗	samir∗	PROPN
ap-4889	1	36	,	,	PUNCT
ap-4889	1	37	aoued	aoued	PROPN
ap-4889	1	38	boukelif	boukelif	PROPN
ap-4889	1	39	university	university	PROPN
ap-4889	1	40	of	of	ADP
ap-4889	1	41	djillali	djillali	PROPN
ap-4889	1	42	liabes	liabe	NOUN
ap-4889	1	43	,	,	PUNCT
ap-4889	1	44	department	department	NOUN
ap-4889	1	45	of	of	ADP
ap-4889	1	46	electronic	electronic	ADJ
ap-4889	1	47	,	,	PUNCT
ap-4889	1	48	sidi	sidi	NOUN
ap-4889	1	49	bel	bel	PROPN
ap-4889	1	50	abbes	abbes	PROPN
ap-4889	1	51	22000	22000	NUM
ap-4889	1	52	,	,	PUNCT
ap-4889	1	53	algeria	algeria	PROPN
ap-4889	1	54	∗	∗	NOUN
ap-4889	1	55	corresponding	correspond	VERB
ap-4889	1	56	author	author	NOUN
ap-4889	1	57	:	:	PUNCT
ap-4889	1	58	benbakretisamir@gmail.com	benbakretisamir@gmail.com	X
ap-4889	2	1	abstract	abstract	ADJ
ap-4889	2	2	.	.	PUNCT
ap-4889	3	1	in	in	ADP
ap-4889	3	2	this	this	DET
ap-4889	3	3	paper	paper	NOUN
ap-4889	3	4	,	,	PUNCT
ap-4889	3	5	we	we	PRON
ap-4889	3	6	present	present	VERB
ap-4889	3	7	a	a	DET
ap-4889	3	8	neural	neural	ADJ
ap-4889	3	9	approach	approach	NOUN
ap-4889	3	10	for	for	ADP
ap-4889	3	11	an	an	DET
ap-4889	3	12	unconstrained	unconstrained	ADJ
ap-4889	3	13	arabic	arabic	ADJ
ap-4889	3	14	manuscript	manuscript	NOUN
ap-4889	3	15	recognition	recognition	NOUN
ap-4889	3	16	using	use	VERB
ap-4889	3	17	the	the	DET
ap-4889	3	18	online	online	ADJ
ap-4889	3	19	writing	writing	NOUN
ap-4889	3	20	signal	signal	NOUN
ap-4889	3	21	rather	rather	ADV
ap-4889	3	22	than	than	ADP
ap-4889	3	23	images	image	NOUN
ap-4889	3	24	.	.	PUNCT
ap-4889	4	1	first	first	ADV
ap-4889	4	2	,	,	PUNCT
ap-4889	4	3	we	we	PRON
ap-4889	4	4	build	build	VERB
ap-4889	4	5	the	the	DET
ap-4889	4	6	database	database	NOUN
ap-4889	4	7	which	which	PRON
ap-4889	4	8	contains	contain	VERB
ap-4889	4	9	2800	2800	NUM
ap-4889	4	10	characters	character	NOUN
ap-4889	4	11	and	and	CCONJ
ap-4889	4	12	4800	4800	NUM
ap-4889	4	13	words	word	NOUN
ap-4889	4	14	collected	collect	VERB
ap-4889	4	15	from	from	ADP
ap-4889	4	16	20	20	NUM
ap-4889	4	17	different	different	ADJ
ap-4889	4	18	handwritings	handwriting	NOUN
ap-4889	4	19	.	.	PUNCT
ap-4889	5	1	thereafter	thereafter	ADV
ap-4889	5	2	,	,	PUNCT
ap-4889	5	3	we	we	PRON
ap-4889	5	4	will	will	AUX
ap-4889	5	5	perform	perform	VERB
ap-4889	5	6	the	the	DET
ap-4889	5	7	pretreatment	pretreatment	NOUN
ap-4889	5	8	,	,	PUNCT
ap-4889	5	9	feature	feature	NOUN
ap-4889	5	10	extraction	extraction	NOUN
ap-4889	5	11	and	and	CCONJ
ap-4889	5	12	classification	classification	NOUN
ap-4889	5	13	phases	phase	NOUN
ap-4889	5	14	,	,	PUNCT
ap-4889	5	15	respectively	respectively	ADV
ap-4889	5	16	.	.	PUNCT
ap-4889	6	1	the	the	DET
ap-4889	6	2	use	use	NOUN
ap-4889	6	3	of	of	ADP
ap-4889	6	4	a	a	DET
ap-4889	6	5	classical	classical	ADJ
ap-4889	6	6	neural	neural	ADJ
ap-4889	6	7	network	network	NOUN
ap-4889	6	8	methods	method	NOUN
ap-4889	6	9	has	have	AUX
ap-4889	6	10	been	be	AUX
ap-4889	6	11	beneficial	beneficial	ADJ
ap-4889	6	12	for	for	ADP
ap-4889	6	13	the	the	DET
ap-4889	6	14	character	character	NOUN
ap-4889	6	15	recognition	recognition	NOUN
ap-4889	6	16	,	,	PUNCT
ap-4889	6	17	but	but	CCONJ
ap-4889	6	18	revealed	reveal	VERB
ap-4889	6	19	some	some	DET
ap-4889	6	20	limitations	limitation	NOUN
ap-4889	6	21	for	for	ADP
ap-4889	6	22	the	the	DET
ap-4889	6	23	recognition	recognition	NOUN
ap-4889	6	24	rate	rate	NOUN
ap-4889	6	25	of	of	ADP
ap-4889	6	26	arabic	arabic	ADJ
ap-4889	6	27	words	word	NOUN
ap-4889	6	28	.	.	PUNCT
ap-4889	7	1	to	to	PART
ap-4889	7	2	remedy	remedy	VERB
ap-4889	7	3	this	this	PRON
ap-4889	7	4	,	,	PUNCT
ap-4889	7	5	we	we	PRON
ap-4889	7	6	used	use	VERB
ap-4889	7	7	a	a	DET
ap-4889	7	8	deep	deep	ADJ
ap-4889	7	9	learning	learning	NOUN
ap-4889	7	10	through	through	ADP
ap-4889	7	11	the	the	DET
ap-4889	7	12	deep	deep	ADJ
ap-4889	7	13	belief	belief	NOUN
ap-4889	7	14	network	network	NOUN
ap-4889	7	15	(	(	PUNCT
ap-4889	7	16	dbn	dbn	PROPN
ap-4889	7	17	)	)	PUNCT
ap-4889	7	18	that	that	PRON
ap-4889	7	19	resulted	result	VERB
ap-4889	7	20	in	in	ADP
ap-4889	7	21	a	a	DET
ap-4889	7	22	97.08	97.08	NUM
ap-4889	7	23	%	%	NOUN
ap-4889	7	24	success	success	NOUN
ap-4889	7	25	rate	rate	NOUN
ap-4889	7	26	of	of	ADP
ap-4889	7	27	recognition	recognition	NOUN
ap-4889	7	28	for	for	ADP
ap-4889	7	29	arabic	arabic	ADJ
ap-4889	7	30	words	word	NOUN
ap-4889	7	31	.	.	PUNCT
ap-4889	8	1	keywords	keyword	NOUN
ap-4889	8	2	:	:	PUNCT
ap-4889	8	3	arabic	arabic	ADJ
ap-4889	8	4	manuscript	manuscript	NOUN
ap-4889	8	5	;	;	PUNCT
ap-4889	8	6	online	online	ADJ
ap-4889	8	7	recognition	recognition	NOUN
ap-4889	8	8	;	;	PUNCT
ap-4889	8	9	neural	neural	ADJ
ap-4889	8	10	networks	network	NOUN
ap-4889	8	11	;	;	PUNCT
ap-4889	8	12	mlp	mlp	NOUN
ap-4889	8	13	;	;	PUNCT
ap-4889	8	14	tdnn	tdnn	NOUN
ap-4889	8	15	;	;	PUNCT
ap-4889	8	16	rbf	rbf	PROPN
ap-4889	8	17	;	;	PUNCT
ap-4889	8	18	deep	deep	ADJ
ap-4889	8	19	learning	learning	NOUN
ap-4889	8	20	;	;	PUNCT
ap-4889	8	21	dbn	dbn	PROPN
ap-4889	8	22	.	.	PROPN
ap-4889	9	1	1	1	X
ap-4889	9	2	.	.	X
ap-4889	9	3	introduction	introduction	NOUN
ap-4889	9	4	nowadays	nowadays	ADV
ap-4889	9	5	,	,	PUNCT
ap-4889	9	6	the	the	DET
ap-4889	9	7	cursive	cursive	ADJ
ap-4889	9	8	writing	writing	NOUN
ap-4889	9	9	recognition	recognition	NOUN
ap-4889	9	10	problem	problem	NOUN
ap-4889	9	11	represents	represent	VERB
ap-4889	9	12	a	a	DET
ap-4889	9	13	major	major	ADJ
ap-4889	9	14	challenge	challenge	NOUN
ap-4889	9	15	for	for	ADP
ap-4889	9	16	both	both	CCONJ
ap-4889	9	17	handwritten	handwritten	ADJ
ap-4889	9	18	and	and	CCONJ
ap-4889	9	19	typed	type	VERB
ap-4889	9	20	forms	form	NOUN
ap-4889	9	21	.	.	PUNCT
ap-4889	10	1	the	the	DET
ap-4889	10	2	complexity	complexity	NOUN
ap-4889	10	3	of	of	ADP
ap-4889	10	4	this	this	DET
ap-4889	10	5	problem	problem	NOUN
ap-4889	10	6	comes	come	VERB
ap-4889	10	7	from	from	ADP
ap-4889	10	8	the	the	DET
ap-4889	10	9	style	style	NOUN
ap-4889	10	10	,	,	PUNCT
ap-4889	10	11	the	the	DET
ap-4889	10	12	variability	variability	NOUN
ap-4889	10	13	of	of	ADP
ap-4889	10	14	the	the	DET
ap-4889	10	15	patterns	pattern	NOUN
ap-4889	10	16	,	,	PUNCT
ap-4889	10	17	the	the	DET
ap-4889	10	18	tilt	tilt	NOUN
ap-4889	10	19	in	in	ADP
ap-4889	10	20	the	the	DET
ap-4889	10	21	case	case	NOUN
ap-4889	10	22	of	of	ADP
ap-4889	10	23	the	the	DET
ap-4889	10	24	unconstrained	unconstrained	ADJ
ap-4889	10	25	handwriting	handwriting	NOUN
ap-4889	10	26	,	,	PUNCT
ap-4889	10	27	this	this	PRON
ap-4889	10	28	is	be	AUX
ap-4889	10	29	even	even	ADV
ap-4889	10	30	worse	bad	ADJ
ap-4889	10	31	for	for	ADP
ap-4889	10	32	some	some	DET
ap-4889	10	33	languages	language	NOUN
ap-4889	10	34	that	that	PRON
ap-4889	10	35	present	present	VERB
ap-4889	10	36	more	more	ADV
ap-4889	10	37	complicated	complicated	ADJ
ap-4889	10	38	morphologic	morphologic	ADJ
ap-4889	10	39	characteristics	characteristic	NOUN
ap-4889	10	40	.	.	PUNCT
ap-4889	11	1	the	the	DET
ap-4889	11	2	arabic	arabic	ADJ
ap-4889	11	3	handwriting	handwriting	NOUN
ap-4889	11	4	,	,	PUNCT
ap-4889	11	5	which	which	PRON
ap-4889	11	6	is	be	AUX
ap-4889	11	7	cursive	cursive	ADJ
ap-4889	11	8	by	by	ADP
ap-4889	11	9	nature	nature	NOUN
ap-4889	11	10	,	,	PUNCT
ap-4889	11	11	presents	present	VERB
ap-4889	11	12	a	a	DET
ap-4889	11	13	big	big	ADJ
ap-4889	11	14	variability	variability	NOUN
ap-4889	11	15	and	and	CCONJ
ap-4889	11	16	is	be	AUX
ap-4889	11	17	consequently	consequently	ADV
ap-4889	11	18	very	very	ADV
ap-4889	11	19	difficult	difficult	ADJ
ap-4889	11	20	to	to	PART
ap-4889	11	21	resolve	resolve	VERB
ap-4889	11	22	.	.	PUNCT
ap-4889	12	1	the	the	DET
ap-4889	12	2	recent	recent	ADJ
ap-4889	12	3	electronic	electronic	ADJ
ap-4889	12	4	revolution	revolution	NOUN
ap-4889	12	5	allows	allow	VERB
ap-4889	12	6	the	the	DET
ap-4889	12	7	emergence	emergence	NOUN
ap-4889	12	8	of	of	ADP
ap-4889	12	9	new	new	ADJ
ap-4889	12	10	typing	typing	NOUN
ap-4889	12	11	devices	device	NOUN
ap-4889	12	12	capable	capable	ADJ
ap-4889	12	13	of	of	ADP
ap-4889	12	14	creating	create	VERB
ap-4889	12	15	high	high	ADJ
ap-4889	12	16	quality	quality	NOUN
ap-4889	12	17	online	online	ADJ
ap-4889	12	18	documents	document	NOUN
ap-4889	12	19	,	,	PUNCT
ap-4889	12	20	such	such	ADJ
ap-4889	12	21	as	as	ADP
ap-4889	12	22	exam	exam	NOUN
ap-4889	12	23	papers	paper	NOUN
ap-4889	12	24	,	,	PUNCT
ap-4889	12	25	notes	note	NOUN
ap-4889	12	26	,	,	PUNCT
ap-4889	12	27	filling	fill	VERB
ap-4889	12	28	forms	form	NOUN
ap-4889	12	29	,	,	PUNCT
ap-4889	12	30	online	online	ADJ
ap-4889	12	31	reporting	reporting	NOUN
ap-4889	12	32	,	,	PUNCT
ap-4889	12	33	etc	etc	X
ap-4889	12	34	.	.	X
ap-4889	13	1	this	this	DET
ap-4889	13	2	progress	progress	NOUN
ap-4889	13	3	extends	extend	VERB
ap-4889	13	4	the	the	DET
ap-4889	13	5	application	application	NOUN
ap-4889	13	6	field	field	NOUN
ap-4889	13	7	of	of	ADP
ap-4889	13	8	the	the	DET
ap-4889	13	9	online	online	ADJ
ap-4889	13	10	handwriting	handwriting	NOUN
ap-4889	13	11	recognition	recognition	NOUN
ap-4889	13	12	,	,	PUNCT
ap-4889	13	13	which	which	PRON
ap-4889	13	14	was	be	AUX
ap-4889	13	15	restricted	restrict	VERB
ap-4889	13	16	by	by	ADP
ap-4889	13	17	terminals	terminal	NOUN
ap-4889	13	18	of	of	ADP
ap-4889	13	19	small	small	ADJ
ap-4889	13	20	size	size	NOUN
ap-4889	13	21	(	(	PUNCT
ap-4889	13	22	pda	pda	NOUN
ap-4889	13	23	,	,	PUNCT
ap-4889	13	24	smartphone	smartphone	NOUN
ap-4889	13	25	)	)	PUNCT
ap-4889	13	26	that	that	PRON
ap-4889	13	27	support	support	VERB
ap-4889	13	28	character	character	NOUN
ap-4889	13	29	recognition	recognition	NOUN
ap-4889	13	30	only	only	ADV
ap-4889	13	31	.	.	PUNCT
ap-4889	14	1	the	the	DET
ap-4889	14	2	online	online	ADJ
ap-4889	14	3	documents	document	NOUN
ap-4889	14	4	represent	represent	VERB
ap-4889	14	5	a	a	DET
ap-4889	14	6	new	new	ADJ
ap-4889	14	7	source	source	NOUN
ap-4889	14	8	of	of	ADP
ap-4889	14	9	information	information	NOUN
ap-4889	14	10	that	that	PRON
ap-4889	14	11	has	have	VERB
ap-4889	14	12	few	few	ADJ
ap-4889	14	13	applications	application	NOUN
ap-4889	14	14	in	in	ADP
ap-4889	14	15	the	the	DET
ap-4889	14	16	field	field	NOUN
ap-4889	14	17	of	of	ADP
ap-4889	14	18	the	the	DET
ap-4889	14	19	pattern	pattern	NOUN
ap-4889	14	20	recognition	recognition	NOUN
ap-4889	14	21	.	.	PUNCT
ap-4889	15	1	they	they	PRON
ap-4889	15	2	are	be	AUX
ap-4889	15	3	represented	represent	VERB
ap-4889	15	4	by	by	ADP
ap-4889	15	5	signals	signal	NOUN
ap-4889	15	6	which	which	PRON
ap-4889	15	7	may	may	AUX
ap-4889	15	8	be	be	AUX
ap-4889	15	9	assimilated	assimilate	VERB
ap-4889	15	10	to	to	ADP
ap-4889	15	11	sampled	sample	VERB
ap-4889	15	12	trajectories	trajectory	NOUN
ap-4889	15	13	captured	capture	VERB
ap-4889	15	14	from	from	ADP
ap-4889	15	15	the	the	DET
ap-4889	15	16	handwriting	handwriting	NOUN
ap-4889	15	17	instrument	instrument	NOUN
ap-4889	15	18	as	as	ADP
ap-4889	15	19	a	a	DET
ap-4889	15	20	temporal	temporal	ADJ
ap-4889	15	21	sequence	sequence	NOUN
ap-4889	15	22	of	of	ADP
ap-4889	15	23	points	point	NOUN
ap-4889	15	24	(	(	PUNCT
ap-4889	15	25	x(t	x(t	PROPN
ap-4889	15	26	)	)	PUNCT
ap-4889	15	27	,	,	PUNCT
ap-4889	15	28	y(t	y(t	NOUN
ap-4889	15	29	)	)	PUNCT
ap-4889	15	30	)	)	PUNCT
ap-4889	15	31	,	,	PUNCT
ap-4889	15	32	represented	represent	VERB
ap-4889	15	33	in	in	ADP
ap-4889	15	34	an	an	DET
ap-4889	15	35	orthonormal	orthonormal	ADJ
ap-4889	15	36	coordinate	coordinate	NOUN
ap-4889	15	37	system	system	NOUN
ap-4889	15	38	.	.	PUNCT
ap-4889	16	1	the	the	DET
ap-4889	16	2	arabic	arabic	ADJ
ap-4889	16	3	script	script	NOUN
ap-4889	16	4	is	be	AUX
ap-4889	16	5	semi	semi	ADJ
ap-4889	16	6	-	-	ADJ
ap-4889	16	7	cursive	cursive	ADJ
ap-4889	16	8	in	in	ADP
ap-4889	16	9	the	the	DET
ap-4889	16	10	two	two	NUM
ap-4889	16	11	forms	form	NOUN
ap-4889	16	12	,	,	PUNCT
ap-4889	16	13	printed	print	VERB
ap-4889	16	14	and	and	CCONJ
ap-4889	16	15	handwritten	handwritten	ADJ
ap-4889	16	16	.	.	PUNCT
ap-4889	17	1	the	the	DET
ap-4889	17	2	word	word	NOUN
ap-4889	17	3	may	may	AUX
ap-4889	17	4	be	be	AUX
ap-4889	17	5	composed	compose	VERB
ap-4889	17	6	of	of	ADP
ap-4889	17	7	one	one	NUM
ap-4889	17	8	or	or	CCONJ
ap-4889	17	9	several	several	ADJ
ap-4889	17	10	pseudo	pseudo	NOUN
ap-4889	17	11	-	-	NOUN
ap-4889	17	12	words	word	NOUN
ap-4889	17	13	.	.	PUNCT
ap-4889	18	1	these	these	DET
ap-4889	18	2	pseudo	pseudo	NOUN
ap-4889	18	3	-	-	PUNCT
ap-4889	18	4	words	word	NOUN
ap-4889	18	5	are	be	AUX
ap-4889	18	6	ligated	ligate	VERB
ap-4889	18	7	horizontally	horizontally	ADV
ap-4889	18	8	or	or	CCONJ
ap-4889	18	9	vertically	vertically	ADV
ap-4889	18	10	,	,	PUNCT
ap-4889	18	11	which	which	PRON
ap-4889	18	12	makes	make	VERB
ap-4889	18	13	the	the	DET
ap-4889	18	14	segmentation	segmentation	NOUN
ap-4889	18	15	task	task	NOUN
ap-4889	18	16	very	very	ADV
ap-4889	18	17	complicated	complicated	ADJ
ap-4889	18	18	.	.	PUNCT
ap-4889	19	1	the	the	DET
ap-4889	19	2	shape	shape	NOUN
ap-4889	19	3	of	of	ADP
ap-4889	19	4	the	the	DET
ap-4889	19	5	character	character	NOUN
ap-4889	19	6	differs	differ	VERB
ap-4889	19	7	according	accord	VERB
ap-4889	19	8	to	to	ADP
ap-4889	19	9	its	its	PRON
ap-4889	19	10	position	position	NOUN
ap-4889	19	11	in	in	ADP
ap-4889	19	12	the	the	DET
ap-4889	19	13	word	word	NOUN
ap-4889	19	14	.	.	PUNCT
ap-4889	20	1	some	some	DET
ap-4889	20	2	characters	character	NOUN
ap-4889	20	3	include	include	VERB
ap-4889	20	4	diacritical	diacritical	ADJ
ap-4889	20	5	points	point	NOUN
ap-4889	20	6	,	,	PUNCT
ap-4889	20	7	which	which	PRON
ap-4889	20	8	lie	lie	VERB
ap-4889	20	9	above	above	ADP
ap-4889	20	10	or	or	CCONJ
ap-4889	20	11	below	below	ADV
ap-4889	20	12	.	.	PUNCT
ap-4889	21	1	however	however	ADV
ap-4889	21	2	,	,	PUNCT
ap-4889	21	3	others	other	NOUN
ap-4889	21	4	have	have	VERB
ap-4889	21	5	the	the	DET
ap-4889	21	6	same	same	ADJ
ap-4889	21	7	body	body	NOUN
ap-4889	21	8	or	or	CCONJ
ap-4889	21	9	shape	shape	NOUN
ap-4889	21	10	,	,	PUNCT
ap-4889	21	11	only	only	ADV
ap-4889	21	12	the	the	DET
ap-4889	21	13	diacritical	diacritical	ADJ
ap-4889	21	14	point	point	NOUN
ap-4889	21	15	allows	allow	VERB
ap-4889	21	16	to	to	PART
ap-4889	21	17	differentiate	differentiate	VERB
ap-4889	21	18	between	between	ADP
ap-4889	21	19	two	two	NUM
ap-4889	21	20	characters	character	NOUN
ap-4889	21	21	.	.	PUNCT
ap-4889	22	1	also	also	ADV
ap-4889	22	2	,	,	PUNCT
ap-4889	22	3	in	in	ADP
ap-4889	22	4	the	the	DET
ap-4889	22	5	handwritten	handwritten	ADJ
ap-4889	22	6	arabic	arabic	ADJ
ap-4889	22	7	text	text	NOUN
ap-4889	22	8	,	,	PUNCT
ap-4889	22	9	the	the	DET
ap-4889	22	10	variations	variation	NOUN
ap-4889	22	11	in	in	ADP
ap-4889	22	12	the	the	DET
ap-4889	22	13	horizontal	horizontal	ADJ
ap-4889	22	14	bands	band	NOUN
ap-4889	22	15	,	,	PUNCT
ap-4889	22	16	according	accord	VERB
ap-4889	22	17	to	to	ADP
ap-4889	22	18	the	the	DET
ap-4889	22	19	calligraphy	calligraphy	NOUN
ap-4889	22	20	of	of	ADP
ap-4889	22	21	the	the	DET
ap-4889	22	22	characters	character	NOUN
ap-4889	22	23	contained	contain	VERB
ap-4889	22	24	in	in	ADP
ap-4889	22	25	the	the	DET
ap-4889	22	26	pseudo	pseudo	NOUN
ap-4889	22	27	-	-	NOUN
ap-4889	22	28	word	word	NOUN
ap-4889	22	29	,	,	PUNCT
ap-4889	22	30	appears	appear	VERB
ap-4889	22	31	[	[	X
ap-4889	22	32	1	1	NUM
ap-4889	22	33	]	]	PUNCT
ap-4889	22	34	.	.	PUNCT
ap-4889	23	1	in	in	ADP
ap-4889	23	2	the	the	DET
ap-4889	23	3	case	case	NOUN
ap-4889	23	4	of	of	ADP
ap-4889	23	5	the	the	DET
ap-4889	23	6	manuscript	manuscript	NOUN
ap-4889	23	7	,	,	PUNCT
ap-4889	23	8	this	this	DET
ap-4889	23	9	complexity	complexity	NOUN
ap-4889	23	10	is	be	AUX
ap-4889	23	11	more	more	ADV
ap-4889	23	12	important	important	ADJ
ap-4889	23	13	,	,	PUNCT
ap-4889	23	14	because	because	SCONJ
ap-4889	23	15	there	there	PRON
ap-4889	23	16	are	be	VERB
ap-4889	23	17	other	other	ADJ
ap-4889	23	18	problems	problem	NOUN
ap-4889	23	19	that	that	PRON
ap-4889	23	20	may	may	AUX
ap-4889	23	21	arise	arise	VERB
ap-4889	23	22	,	,	PUNCT
ap-4889	23	23	such	such	ADJ
ap-4889	23	24	figure	figure	NOUN
ap-4889	23	25	1	1	NUM
ap-4889	23	26	.	.	PUNCT
ap-4889	24	1	online	online	ADJ
ap-4889	24	2	arabic	arabic	ADJ
ap-4889	24	3	handwriting	handwriting	NOUN
ap-4889	24	4	:	:	PUNCT
ap-4889	24	5	(	(	PUNCT
ap-4889	24	6	a	a	X
ap-4889	24	7	)	)	PUNCT
ap-4889	24	8	the	the	DET
ap-4889	24	9	“	"	PUNCT
ap-4889	24	10	bah	bah	ADJ
ap-4889	24	11	”	"	PUNCT
ap-4889	24	12	character	character	NOUN
ap-4889	24	13	in	in	ADP
ap-4889	24	14	the	the	DET
ap-4889	24	15	middle	middle	NOUN
ap-4889	24	16	of	of	ADP
ap-4889	24	17	a	a	DET
ap-4889	24	18	word	word	NOUN
ap-4889	24	19	;	;	PUNCT
ap-4889	24	20	(	(	PUNCT
ap-4889	24	21	b	b	X
ap-4889	24	22	)	)	PUNCT
ap-4889	24	23	the	the	DET
ap-4889	24	24	“	"	PUNCT
ap-4889	24	25	tah	tah	PROPN
ap-4889	24	26	”	"	PUNCT
ap-4889	24	27	character	character	NOUN
ap-4889	24	28	at	at	ADP
ap-4889	24	29	the	the	DET
ap-4889	24	30	end	end	NOUN
ap-4889	24	31	of	of	ADP
ap-4889	24	32	a	a	DET
ap-4889	24	33	word	word	NOUN
ap-4889	24	34	;	;	PUNCT
ap-4889	24	35	(	(	PUNCT
ap-4889	24	36	c	c	X
ap-4889	24	37	)	)	PUNCT
ap-4889	24	38	the	the	DET
ap-4889	24	39	word	word	NOUN
ap-4889	24	40	“	"	PUNCT
ap-4889	24	41	wahran	wahran	ADJ
ap-4889	24	42	”	"	PUNCT
ap-4889	24	43	composed	compose	VERB
ap-4889	24	44	of	of	ADP
ap-4889	24	45	4	4	NUM
ap-4889	24	46	pseudo	pseudo	NOUN
ap-4889	24	47	-	-	NOUN
ap-4889	24	48	words	word	NOUN
ap-4889	24	49	.	.	PUNCT
ap-4889	25	1	as	as	ADP
ap-4889	25	2	:	:	PUNCT
ap-4889	25	3	the	the	DET
ap-4889	25	4	variability	variability	NOUN
ap-4889	25	5	intra	intra	ADJ
ap-4889	25	6	and	and	CCONJ
ap-4889	25	7	inter	inter	ADJ
ap-4889	25	8	-	-	NOUN
ap-4889	25	9	writer	writer	NOUN
ap-4889	25	10	,	,	PUNCT
ap-4889	25	11	the	the	DET
ap-4889	25	12	overlap	overlap	NOUN
ap-4889	25	13	of	of	ADP
ap-4889	25	14	pseudo	pseudo	NOUN
ap-4889	25	15	-	-	NOUN
ap-4889	25	16	words	word	NOUN
ap-4889	25	17	,	,	PUNCT
ap-4889	25	18	the	the	DET
ap-4889	25	19	fusion	fusion	NOUN
ap-4889	25	20	of	of	ADP
ap-4889	25	21	diacritical	diacritical	ADJ
ap-4889	25	22	points	point	NOUN
ap-4889	25	23	,	,	PUNCT
ap-4889	25	24	the	the	DET
ap-4889	25	25	writing	writing	NOUN
ap-4889	25	26	conditions	condition	NOUN
ap-4889	25	27	or	or	CCONJ
ap-4889	25	28	the	the	DET
ap-4889	25	29	writer	writer	NOUN
ap-4889	25	30	state	state	NOUN
ap-4889	25	31	.	.	PUNCT
ap-4889	26	1	in	in	ADP
ap-4889	26	2	this	this	DET
ap-4889	26	3	paper	paper	NOUN
ap-4889	26	4	,	,	PUNCT
ap-4889	26	5	the	the	DET
ap-4889	26	6	use	use	NOUN
ap-4889	26	7	of	of	ADP
ap-4889	26	8	the	the	DET
ap-4889	26	9	on	on	ADP
ap-4889	26	10	-	-	PUNCT
ap-4889	26	11	line	line	NOUN
ap-4889	26	12	aspect	aspect	NOUN
ap-4889	26	13	decreases	decrease	VERB
ap-4889	26	14	some	some	DET
ap-4889	26	15	processing	processing	NOUN
ap-4889	26	16	difficulties	difficulty	NOUN
ap-4889	26	17	because	because	SCONJ
ap-4889	26	18	the	the	DET
ap-4889	26	19	diacritical	diacritical	ADJ
ap-4889	26	20	points	point	NOUN
ap-4889	26	21	are	be	AUX
ap-4889	26	22	considered	consider	VERB
ap-4889	26	23	as	as	ADP
ap-4889	26	24	a	a	DET
ap-4889	26	25	signal	signal	NOUN
ap-4889	26	26	,	,	PUNCT
ap-4889	26	27	which	which	PRON
ap-4889	26	28	complements	complement	VERB
ap-4889	26	29	the	the	DET
ap-4889	26	30	character	character	NOUN
ap-4889	26	31	body	body	NOUN
ap-4889	26	32	.	.	PUNCT
ap-4889	27	1	hence	hence	ADV
ap-4889	27	2	the	the	DET
ap-4889	27	3	fusion	fusion	NOUN
ap-4889	27	4	of	of	ADP
ap-4889	27	5	diacritical	diacritical	ADJ
ap-4889	27	6	points	point	NOUN
ap-4889	27	7	is	be	AUX
ap-4889	27	8	not	not	PART
ap-4889	27	9	a	a	DET
ap-4889	27	10	real	real	ADJ
ap-4889	27	11	problem	problem	NOUN
ap-4889	27	12	.	.	PUNCT
ap-4889	28	1	however	however	ADV
ap-4889	28	2	,	,	PUNCT
ap-4889	28	3	the	the	DET
ap-4889	28	4	segmentation	segmentation	NOUN
ap-4889	28	5	in	in	ADP
ap-4889	28	6	pseudo	pseudo	NOUN
ap-4889	28	7	-	-	NOUN
ap-4889	28	8	words	word	NOUN
ap-4889	28	9	or	or	CCONJ
ap-4889	28	10	characters	character	NOUN
ap-4889	28	11	is	be	AUX
ap-4889	28	12	not	not	PART
ap-4889	28	13	performed	perform	VERB
ap-4889	28	14	because	because	SCONJ
ap-4889	28	15	the	the	DET
ap-4889	28	16	word	word	NOUN
ap-4889	28	17	is	be	AUX
ap-4889	28	18	taken	take	VERB
ap-4889	28	19	in	in	ADP
ap-4889	28	20	its	its	PRON
ap-4889	28	21	entirety	entirety	NOUN
ap-4889	28	22	,	,	PUNCT
ap-4889	28	23	therefore	therefore	ADV
ap-4889	28	24	,	,	PUNCT
ap-4889	28	25	the	the	DET
ap-4889	28	26	overlaps	overlap	NOUN
ap-4889	28	27	are	be	AUX
ap-4889	28	28	ignored	ignore	VERB
ap-4889	28	29	.	.	PUNCT
ap-4889	29	1	nevertheless	nevertheless	ADV
ap-4889	29	2	,	,	PUNCT
ap-4889	29	3	these	these	DET
ap-4889	29	4	features	feature	NOUN
ap-4889	29	5	increase	increase	VERB
ap-4889	29	6	the	the	DET
ap-4889	29	7	variability	variability	NOUN
ap-4889	29	8	intra	intra	ADJ
ap-4889	29	9	or	or	CCONJ
ap-4889	29	10	inter	inter	ADJ
ap-4889	29	11	-	-	NOUN
ap-4889	29	12	writer	writer	NOUN
ap-4889	29	13	.	.	PUNCT
ap-4889	30	1	among	among	ADP
ap-4889	30	2	the	the	DET
ap-4889	30	3	approaches	approach	NOUN
ap-4889	30	4	presented	present	VERB
ap-4889	30	5	in	in	ADP
ap-4889	30	6	the	the	DET
ap-4889	30	7	literature	literature	NOUN
ap-4889	30	8	for	for	ADP
ap-4889	30	9	a	a	DET
ap-4889	30	10	handwriting	handwriting	NOUN
ap-4889	30	11	recognition	recognition	NOUN
ap-4889	30	12	,	,	PUNCT
ap-4889	30	13	the	the	DET
ap-4889	30	14	neural	neural	ADJ
ap-4889	30	15	networks	network	NOUN
ap-4889	30	16	demonstrate	demonstrate	VERB
ap-4889	30	17	a	a	DET
ap-4889	30	18	great	great	ADJ
ap-4889	30	19	discriminating	discriminating	ADJ
ap-4889	30	20	power	power	NOUN
ap-4889	30	21	and	and	CCONJ
ap-4889	30	22	a	a	DET
ap-4889	30	23	very	very	ADV
ap-4889	30	24	good	good	ADJ
ap-4889	30	25	capacity	capacity	NOUN
ap-4889	30	26	to	to	PART
ap-4889	30	27	construct	construct	VERB
ap-4889	30	28	class	class	NOUN
ap-4889	30	29	separators	separator	NOUN
ap-4889	30	30	in	in	ADP
ap-4889	30	31	multidimensional	multidimensional	ADJ
ap-4889	30	32	spaces	space	NOUN
ap-4889	30	33	.	.	PUNCT
ap-4889	31	1	that	that	PRON
ap-4889	31	2	being	be	AUX
ap-4889	31	3	said	say	VERB
ap-4889	31	4	,	,	PUNCT
ap-4889	31	5	models	model	NOUN
ap-4889	31	6	based	base	VERB
ap-4889	31	7	on	on	ADP
ap-4889	31	8	hidden	hide	VERB
ap-4889	31	9	markov	markov	NOUN
ap-4889	31	10	models	model	NOUN
ap-4889	31	11	(	(	PUNCT
ap-4889	31	12	hmm	hmm	INTJ
ap-4889	31	13	)	)	PUNCT
ap-4889	32	1	[	[	X
ap-4889	32	2	2	2	X
ap-4889	32	3	]	]	PUNCT
ap-4889	32	4	use	use	VERB
ap-4889	32	5	a	a	DET
ap-4889	32	6	parametric	parametric	ADJ
ap-4889	32	7	approach	approach	NOUN
ap-4889	32	8	to	to	AUX
ap-4889	32	9	model	model	VERB
ap-4889	32	10	sequences	sequence	NOUN
ap-4889	32	11	of	of	ADP
ap-4889	32	12	observations	observation	NOUN
ap-4889	32	13	.	.	PUNCT
ap-4889	33	1	these	these	DET
ap-4889	33	2	sequences	sequence	NOUN
ap-4889	33	3	are	be	AUX
ap-4889	33	4	generated	generate	VERB
ap-4889	33	5	by	by	ADP
ap-4889	33	6	stochastic	stochastic	ADJ
ap-4889	33	7	processes	process	NOUN
ap-4889	33	8	(	(	PUNCT
ap-4889	33	9	e.g.	e.g.	ADV
ap-4889	33	10	,	,	PUNCT
ap-4889	33	11	handwriting	handwriting	NOUN
ap-4889	33	12	manuscript	manuscript	NOUN
ap-4889	33	13	)	)	PUNCT
ap-4889	33	14	,	,	PUNCT
ap-4889	33	15	which	which	PRON
ap-4889	33	16	are	be	AUX
ap-4889	33	17	more	more	ADV
ap-4889	33	18	visible	visible	ADJ
ap-4889	33	19	in	in	ADP
ap-4889	33	20	the	the	DET
ap-4889	33	21	word	word	NOUN
ap-4889	33	22	recognition	recognition	NOUN
ap-4889	33	23	process	process	NOUN
ap-4889	33	24	.	.	PUNCT
ap-4889	34	1	the	the	DET
ap-4889	34	2	hmm	hmm	NOUN
ap-4889	34	3	has	have	VERB
ap-4889	34	4	a	a	DET
ap-4889	34	5	strong	strong	ADJ
ap-4889	34	6	297	297	NUM
ap-4889	34	7	http://dx.doi.org/10.14311/ap.2018.58.0297	http://dx.doi.org/10.14311/ap.2018.58.0297	NOUN
ap-4889	34	8	http://ojs.cvut.cz/ojs/index.php/ap	http://ojs.cvut.cz/ojs/index.php/ap	PROPN
ap-4889	34	9	benbakreti	benbakreti	ADJ
ap-4889	34	10	samir	samir	NOUN
ap-4889	34	11	,	,	PUNCT
ap-4889	34	12	aoued	aoued	PROPN
ap-4889	34	13	boukelif	boukelif	PROPN
ap-4889	34	14	acta	acta	PROPN
ap-4889	34	15	polytechnica	polytechnica	PROPN
ap-4889	34	16	expressive	expressive	ADJ
ap-4889	34	17	power	power	NOUN
ap-4889	34	18	to	to	PART
ap-4889	34	19	model	model	VERB
ap-4889	34	20	the	the	DET
ap-4889	34	21	distribution	distribution	NOUN
ap-4889	34	22	of	of	ADP
ap-4889	34	23	observations	observation	NOUN
ap-4889	34	24	for	for	ADP
ap-4889	34	25	any	any	DET
ap-4889	34	26	class	class	NOUN
ap-4889	34	27	.	.	PUNCT
ap-4889	35	1	for	for	ADP
ap-4889	35	2	the	the	DET
ap-4889	35	3	character	character	NOUN
ap-4889	35	4	case	case	NOUN
ap-4889	35	5	,	,	PUNCT
ap-4889	35	6	the	the	DET
ap-4889	35	7	neural	neural	ADJ
ap-4889	35	8	networks	network	NOUN
ap-4889	35	9	are	be	AUX
ap-4889	35	10	much	much	ADV
ap-4889	35	11	more	more	ADV
ap-4889	35	12	adapted	adapted	ADJ
ap-4889	35	13	because	because	SCONJ
ap-4889	35	14	it	it	PRON
ap-4889	35	15	is	be	AUX
ap-4889	35	16	the	the	DET
ap-4889	35	17	global	global	ADJ
ap-4889	35	18	shape	shape	NOUN
ap-4889	35	19	that	that	PRON
ap-4889	35	20	dominates	dominate	VERB
ap-4889	35	21	.	.	PUNCT
ap-4889	36	1	these	these	DET
ap-4889	36	2	networks	network	NOUN
ap-4889	36	3	present	present	VERB
ap-4889	36	4	the	the	DET
ap-4889	36	5	advantage	advantage	NOUN
ap-4889	36	6	to	to	PART
ap-4889	36	7	be	be	AUX
ap-4889	36	8	compatible	compatible	ADJ
ap-4889	36	9	with	with	ADP
ap-4889	36	10	the	the	DET
ap-4889	36	11	two	two	NUM
ap-4889	36	12	dimensional	dimensional	ADJ
ap-4889	36	13	pictorial	pictorial	ADJ
ap-4889	36	14	nature	nature	NOUN
ap-4889	36	15	of	of	ADP
ap-4889	36	16	the	the	DET
ap-4889	36	17	writing	writing	NOUN
ap-4889	36	18	.	.	PUNCT
ap-4889	37	1	1.1	1.1	NUM
ap-4889	37	2	.	.	PUNCT
ap-4889	37	3	related	relate	VERB
ap-4889	37	4	work	work	NOUN
ap-4889	37	5	the	the	DET
ap-4889	37	6	handwriting	handwriting	NOUN
ap-4889	37	7	is	be	AUX
ap-4889	37	8	a	a	DET
ap-4889	37	9	complicated	complicated	ADJ
ap-4889	37	10	task	task	NOUN
ap-4889	37	11	,	,	PUNCT
ap-4889	37	12	due	due	ADP
ap-4889	37	13	to	to	ADP
ap-4889	37	14	the	the	DET
ap-4889	37	15	variability	variability	NOUN
ap-4889	37	16	of	of	ADP
ap-4889	37	17	handwriting	handwriting	NOUN
ap-4889	37	18	styles	style	NOUN
ap-4889	37	19	.	.	PUNCT
ap-4889	38	1	indeed	indeed	ADV
ap-4889	38	2	,	,	PUNCT
ap-4889	38	3	the	the	DET
ap-4889	38	4	shape	shape	NOUN
ap-4889	38	5	of	of	ADP
ap-4889	38	6	the	the	DET
ap-4889	38	7	handwriting	handwriting	NOUN
ap-4889	38	8	character	character	NOUN
ap-4889	38	9	differs	differ	VERB
ap-4889	38	10	not	not	PART
ap-4889	38	11	only	only	ADV
ap-4889	38	12	from	from	ADP
ap-4889	38	13	one	one	NUM
ap-4889	38	14	writer	writer	NOUN
ap-4889	38	15	to	to	ADP
ap-4889	38	16	another	another	PRON
ap-4889	38	17	,	,	PUNCT
ap-4889	38	18	but	but	CCONJ
ap-4889	38	19	also	also	ADV
ap-4889	38	20	for	for	ADP
ap-4889	38	21	a	a	DET
ap-4889	38	22	single	single	ADJ
ap-4889	38	23	writer	writer	NOUN
ap-4889	38	24	according	accord	VERB
ap-4889	38	25	to	to	ADP
ap-4889	38	26	:	:	PUNCT
ap-4889	38	27	its	its	PRON
ap-4889	38	28	position	position	NOUN
ap-4889	38	29	in	in	ADP
ap-4889	38	30	the	the	DET
ap-4889	38	31	word	word	NOUN
ap-4889	38	32	,	,	PUNCT
ap-4889	38	33	the	the	DET
ap-4889	38	34	neighbouring	neighbouring	ADJ
ap-4889	38	35	letters	letter	NOUN
ap-4889	38	36	,	,	PUNCT
ap-4889	38	37	the	the	DET
ap-4889	38	38	writer	writer	NOUN
ap-4889	38	39	’s	’s	PART
ap-4889	38	40	health	health	NOUN
ap-4889	38	41	(	(	PUNCT
ap-4889	38	42	motor	motor	NOUN
ap-4889	38	43	disabilities	disability	NOUN
ap-4889	38	44	,	,	PUNCT
ap-4889	38	45	parkinson	parkinson	NOUN
ap-4889	38	46	...	...	PUNCT
ap-4889	38	47	)	)	PUNCT
ap-4889	38	48	,	,	PUNCT
ap-4889	38	49	the	the	DET
ap-4889	38	50	psychological	psychological	ADJ
ap-4889	38	51	status	status	NOUN
ap-4889	38	52	(	(	PUNCT
ap-4889	38	53	depression	depression	NOUN
ap-4889	38	54	,	,	PUNCT
ap-4889	38	55	sadness	sadness	NOUN
ap-4889	38	56	...	...	PUNCT
ap-4889	38	57	)	)	PUNCT
ap-4889	38	58	.	.	PUNCT
ap-4889	39	1	in	in	ADP
ap-4889	39	2	addition	addition	NOUN
ap-4889	39	3	,	,	PUNCT
ap-4889	39	4	it	it	PRON
ap-4889	39	5	is	be	AUX
ap-4889	39	6	also	also	ADV
ap-4889	39	7	possible	possible	ADJ
ap-4889	39	8	to	to	PART
ap-4889	39	9	have	have	VERB
ap-4889	39	10	the	the	DET
ap-4889	39	11	same	same	ADJ
ap-4889	39	12	trace	trace	NOUN
ap-4889	39	13	for	for	ADP
ap-4889	39	14	two	two	NUM
ap-4889	39	15	different	different	ADJ
ap-4889	39	16	meanings	meaning	NOUN
ap-4889	39	17	depending	depend	VERB
ap-4889	39	18	on	on	ADP
ap-4889	39	19	the	the	DET
ap-4889	39	20	context	context	NOUN
ap-4889	39	21	.	.	PUNCT
ap-4889	40	1	this	this	PRON
ap-4889	40	2	represents	represent	VERB
ap-4889	40	3	another	another	DET
ap-4889	40	4	source	source	NOUN
ap-4889	40	5	of	of	ADP
ap-4889	40	6	ambiguity	ambiguity	NOUN
ap-4889	40	7	.	.	PUNCT
ap-4889	41	1	the	the	DET
ap-4889	41	2	aforementioned	aforementione	VERB
ap-4889	41	3	properties	property	NOUN
ap-4889	41	4	make	make	VERB
ap-4889	41	5	the	the	DET
ap-4889	41	6	handwriting	handwriting	NOUN
ap-4889	41	7	recognition	recognition	NOUN
ap-4889	41	8	more	more	ADV
ap-4889	41	9	challenging	challenging	ADJ
ap-4889	41	10	and	and	CCONJ
ap-4889	41	11	the	the	DET
ap-4889	41	12	complicated	complicated	ADJ
ap-4889	41	13	patterns	pattern	NOUN
ap-4889	41	14	recognition	recognition	VERB
ap-4889	41	15	a	a	DET
ap-4889	41	16	problem	problem	NOUN
ap-4889	41	17	.	.	PUNCT
ap-4889	42	1	the	the	DET
ap-4889	42	2	online	online	ADJ
ap-4889	42	3	handwriting	handwriting	NOUN
ap-4889	42	4	recognition	recognition	NOUN
ap-4889	42	5	is	be	AUX
ap-4889	42	6	not	not	PART
ap-4889	42	7	a	a	DET
ap-4889	42	8	recent	recent	ADJ
ap-4889	42	9	subject	subject	NOUN
ap-4889	42	10	.	.	PUNCT
ap-4889	43	1	it	it	PRON
ap-4889	43	2	goes	go	VERB
ap-4889	43	3	back	back	ADV
ap-4889	43	4	to	to	ADP
ap-4889	43	5	around	around	ADP
ap-4889	43	6	30	30	NUM
ap-4889	43	7	years	year	NOUN
ap-4889	43	8	ago	ago	ADV
ap-4889	43	9	.	.	PUNCT
ap-4889	44	1	however	however	ADV
ap-4889	44	2	,	,	PUNCT
ap-4889	44	3	the	the	DET
ap-4889	44	4	emergence	emergence	NOUN
ap-4889	44	5	of	of	ADP
ap-4889	44	6	more	more	ADV
ap-4889	44	7	sophisticated	sophisticated	ADJ
ap-4889	44	8	devices	device	NOUN
ap-4889	44	9	,	,	PUNCT
ap-4889	44	10	like	like	ADP
ap-4889	44	11	smartphones	smartphone	NOUN
ap-4889	44	12	and	and	CCONJ
ap-4889	44	13	tablets	tablet	NOUN
ap-4889	44	14	,	,	PUNCT
ap-4889	44	15	has	have	AUX
ap-4889	44	16	stimulated	stimulate	VERB
ap-4889	44	17	more	more	ADJ
ap-4889	44	18	research	research	NOUN
ap-4889	44	19	works	work	NOUN
ap-4889	44	20	in	in	ADP
ap-4889	44	21	this	this	DET
ap-4889	44	22	field	field	NOUN
ap-4889	44	23	.	.	PUNCT
ap-4889	45	1	the	the	DET
ap-4889	45	2	online	online	ADJ
ap-4889	45	3	recognition	recognition	NOUN
ap-4889	45	4	problem	problem	NOUN
ap-4889	45	5	is	be	AUX
ap-4889	45	6	characterized	characterize	VERB
ap-4889	45	7	by	by	ADP
ap-4889	45	8	three	three	NUM
ap-4889	45	9	fundamental	fundamental	ADJ
ap-4889	45	10	properties	property	NOUN
ap-4889	45	11	:	:	PUNCT
ap-4889	45	12	line	line	NOUN
ap-4889	45	13	temporal	temporal	ADJ
ap-4889	45	14	chaining	chaining	NOUN
ap-4889	45	15	,	,	PUNCT
ap-4889	45	16	the	the	DET
ap-4889	45	17	dynamic	dynamic	NOUN
ap-4889	45	18	of	of	ADP
ap-4889	45	19	the	the	DET
ap-4889	45	20	trace	trace	NOUN
ap-4889	45	21	(	(	PUNCT
ap-4889	45	22	speed	speed	NOUN
ap-4889	45	23	,	,	PUNCT
ap-4889	45	24	acceleration	acceleration	NOUN
ap-4889	45	25	,	,	PUNCT
ap-4889	45	26	pressure	pressure	NOUN
ap-4889	45	27	on	on	ADP
ap-4889	45	28	the	the	DET
ap-4889	45	29	pen	pen	NOUN
ap-4889	45	30	)	)	PUNCT
ap-4889	45	31	and	and	CCONJ
ap-4889	45	32	the	the	DET
ap-4889	45	33	trace	trace	NOUN
ap-4889	45	34	skeleton	skeleton	NOUN
ap-4889	45	35	(	(	PUNCT
ap-4889	45	36	ignore	ignore	VERB
ap-4889	45	37	the	the	DET
ap-4889	45	38	thickness	thickness	NOUN
ap-4889	45	39	of	of	ADP
ap-4889	45	40	line	line	NOUN
ap-4889	45	41	)	)	PUNCT
ap-4889	45	42	.	.	PUNCT
ap-4889	46	1	in	in	ADP
ap-4889	46	2	[	[	X
ap-4889	46	3	3	3	NUM
ap-4889	46	4	]	]	PUNCT
ap-4889	46	5	,	,	PUNCT
ap-4889	46	6	liu	liu	PROPN
ap-4889	46	7	et	et	PROPN
ap-4889	46	8	al	al	PROPN
ap-4889	46	9	.	.	PROPN
ap-4889	46	10	presented	present	VERB
ap-4889	46	11	the	the	DET
ap-4889	46	12	state	state	NOUN
ap-4889	46	13	of	of	ADP
ap-4889	46	14	the	the	DET
ap-4889	46	15	art	art	NOUN
ap-4889	46	16	of	of	ADP
ap-4889	46	17	online	online	ADJ
ap-4889	46	18	chinese	chinese	ADJ
ap-4889	46	19	handwriting	handwriting	NOUN
ap-4889	46	20	recognition	recognition	NOUN
ap-4889	46	21	.	.	PUNCT
ap-4889	47	1	in	in	ADP
ap-4889	47	2	[	[	X
ap-4889	47	3	4	4	NUM
ap-4889	47	4	]	]	PUNCT
ap-4889	47	5	,	,	PUNCT
ap-4889	47	6	kessentiniet	kessentiniet	PROPN
ap-4889	47	7	al	al	PROPN
ap-4889	47	8	.	.	PROPN
ap-4889	47	9	have	have	AUX
ap-4889	47	10	developed	develop	VERB
ap-4889	47	11	a	a	DET
ap-4889	47	12	unified	unified	ADJ
ap-4889	47	13	approach	approach	NOUN
ap-4889	47	14	for	for	ADP
ap-4889	47	15	arabic	arabic	ADJ
ap-4889	47	16	and	and	CCONJ
ap-4889	47	17	latin	latin	ADJ
ap-4889	47	18	alphabetic	alphabetic	ADJ
ap-4889	47	19	scripts	script	NOUN
ap-4889	47	20	recognition	recognition	NOUN
ap-4889	47	21	.	.	PUNCT
ap-4889	48	1	however	however	ADV
ap-4889	48	2	,	,	PUNCT
ap-4889	48	3	few	few	ADJ
ap-4889	48	4	works	work	NOUN
ap-4889	48	5	were	be	AUX
ap-4889	48	6	interested	interested	ADJ
ap-4889	48	7	in	in	ADP
ap-4889	48	8	the	the	DET
ap-4889	48	9	online	online	ADJ
ap-4889	48	10	arabic	arabic	ADJ
ap-4889	48	11	writing	writing	NOUN
ap-4889	48	12	recognition	recognition	NOUN
ap-4889	48	13	.	.	PUNCT
ap-4889	49	1	in	in	ADP
ap-4889	49	2	fact	fact	NOUN
ap-4889	49	3	,	,	PUNCT
ap-4889	49	4	its	its	PRON
ap-4889	49	5	cursive	cursive	ADJ
ap-4889	49	6	nature	nature	NOUN
ap-4889	49	7	triggers	trigger	VERB
ap-4889	49	8	numerous	numerous	ADJ
ap-4889	49	9	problems	problem	NOUN
ap-4889	49	10	in	in	ADP
ap-4889	49	11	the	the	DET
ap-4889	49	12	automatic	automatic	ADJ
ap-4889	49	13	recognition	recognition	NOUN
ap-4889	49	14	system	system	NOUN
ap-4889	49	15	.	.	PUNCT
ap-4889	50	1	these	these	DET
ap-4889	50	2	problems	problem	NOUN
ap-4889	50	3	are	be	AUX
ap-4889	50	4	bound	bind	VERB
ap-4889	50	5	to	to	ADP
ap-4889	50	6	the	the	DET
ap-4889	50	7	diversity	diversity	NOUN
ap-4889	50	8	and	and	CCONJ
ap-4889	50	9	the	the	DET
ap-4889	50	10	complexity	complexity	NOUN
ap-4889	50	11	of	of	ADP
ap-4889	50	12	the	the	DET
ap-4889	50	13	handwriting	handwriting	NOUN
ap-4889	50	14	signal	signal	NOUN
ap-4889	50	15	.	.	PUNCT
ap-4889	51	1	the	the	DET
ap-4889	51	2	unavailability	unavailability	NOUN
ap-4889	51	3	of	of	ADP
ap-4889	51	4	databases	database	NOUN
ap-4889	51	5	with	with	ADP
ap-4889	51	6	online	online	ADJ
ap-4889	51	7	character	character	NOUN
ap-4889	51	8	also	also	ADV
ap-4889	51	9	represents	represent	VERB
ap-4889	51	10	another	another	DET
ap-4889	51	11	problem	problem	NOUN
ap-4889	51	12	for	for	ADP
ap-4889	51	13	this	this	DET
ap-4889	51	14	field	field	NOUN
ap-4889	51	15	of	of	ADP
ap-4889	51	16	research	research	NOUN
ap-4889	51	17	.	.	PUNCT
ap-4889	52	1	consequently	consequently	ADV
ap-4889	52	2	,	,	PUNCT
ap-4889	52	3	most	most	ADJ
ap-4889	52	4	of	of	ADP
ap-4889	52	5	the	the	DET
ap-4889	52	6	works	work	NOUN
ap-4889	52	7	focused	focus	VERB
ap-4889	52	8	on	on	ADP
ap-4889	52	9	the	the	DET
ap-4889	52	10	offline	offline	ADJ
ap-4889	52	11	aspect	aspect	NOUN
ap-4889	52	12	,	,	PUNCT
ap-4889	52	13	such	such	ADJ
ap-4889	52	14	as	as	ADP
ap-4889	52	15	[	[	X
ap-4889	52	16	5	5	NUM
ap-4889	52	17	]	]	PUNCT
ap-4889	52	18	where	where	SCONJ
ap-4889	52	19	margner	margner	NOUN
ap-4889	52	20	et	et	PROPN
ap-4889	52	21	al	al	PROPN
ap-4889	52	22	.	.	PROPN
ap-4889	52	23	present	present	VERB
ap-4889	52	24	a	a	DET
ap-4889	52	25	development	development	NOUN
ap-4889	52	26	strategy	strategy	NOUN
ap-4889	52	27	for	for	ADP
ap-4889	52	28	offline	offline	ADJ
ap-4889	52	29	arabic	arabic	ADJ
ap-4889	52	30	manuscript	manuscript	PROPN
ap-4889	52	31	recognition	recognition	NOUN
ap-4889	52	32	systems	system	NOUN
ap-4889	52	33	.	.	PUNCT
ap-4889	53	1	more	more	ADJ
ap-4889	53	2	recent	recent	ADJ
ap-4889	53	3	works	work	NOUN
ap-4889	53	4	have	have	AUX
ap-4889	53	5	been	be	AUX
ap-4889	53	6	presented	present	VERB
ap-4889	53	7	in	in	ADP
ap-4889	53	8	[	[	X
ap-4889	53	9	6	6	NUM
ap-4889	53	10	]	]	PUNCT
ap-4889	53	11	,	,	PUNCT
ap-4889	53	12	which	which	PRON
ap-4889	53	13	propose	propose	VERB
ap-4889	53	14	a	a	DET
ap-4889	53	15	deep	deep	ADJ
ap-4889	53	16	architecture	architecture	NOUN
ap-4889	53	17	for	for	ADP
ap-4889	53	18	the	the	DET
ap-4889	53	19	arabic	arabic	ADJ
ap-4889	53	20	manuscript	manuscript	NOUN
ap-4889	53	21	recognition	recognition	PROPN
ap-4889	53	22	.	.	PUNCT
ap-4889	54	1	nevertheless	nevertheless	ADV
ap-4889	54	2	,	,	PUNCT
ap-4889	54	3	several	several	ADJ
ap-4889	54	4	works	work	NOUN
ap-4889	54	5	treat	treat	VERB
ap-4889	54	6	the	the	DET
ap-4889	54	7	online	online	ADJ
ap-4889	54	8	case	case	NOUN
ap-4889	54	9	,	,	PUNCT
ap-4889	54	10	like	like	ADP
ap-4889	54	11	mezkhani	mezkhani	NOUN
ap-4889	54	12	et	et	PROPN
ap-4889	54	13	al	al	PROPN
ap-4889	54	14	.	.	PUNCT
ap-4889	55	1	they	they	PRON
ap-4889	55	2	have	have	AUX
ap-4889	55	3	used	use	VERB
ap-4889	55	4	a	a	DET
ap-4889	55	5	bayesian	bayesian	NOUN
ap-4889	55	6	classification	classification	NOUN
ap-4889	55	7	[	[	X
ap-4889	55	8	7	7	NUM
ap-4889	55	9	]	]	PUNCT
ap-4889	55	10	and	and	CCONJ
ap-4889	55	11	a	a	DET
ap-4889	55	12	kohonen	kohonen	PROPN
ap-4889	55	13	network	network	NOUN
ap-4889	55	14	[	[	X
ap-4889	55	15	8	8	NUM
ap-4889	55	16	]	]	PUNCT
ap-4889	55	17	for	for	ADP
ap-4889	55	18	the	the	DET
ap-4889	55	19	online	online	ADJ
ap-4889	55	20	arabic	arabic	ADJ
ap-4889	55	21	character	character	NOUN
ap-4889	55	22	recognition	recognition	PROPN
ap-4889	55	23	.	.	PUNCT
ap-4889	56	1	in	in	ADP
ap-4889	56	2	[	[	X
ap-4889	56	3	9	9	NUM
ap-4889	56	4	]	]	PUNCT
ap-4889	56	5	,	,	PUNCT
ap-4889	56	6	biadsy	biadsy	PROPN
ap-4889	56	7	used	use	VERB
ap-4889	56	8	the	the	DET
ap-4889	56	9	hidden	hide	VERB
ap-4889	56	10	marcov	marcov	NOUN
ap-4889	56	11	model	model	NOUN
ap-4889	56	12	for	for	ADP
ap-4889	56	13	the	the	DET
ap-4889	56	14	arabic	arabic	ADJ
ap-4889	56	15	manuscript	manuscript	NOUN
ap-4889	56	16	recognition	recognition	PROPN
ap-4889	56	17	.	.	PUNCT
ap-4889	57	1	and	and	CCONJ
ap-4889	57	2	more	more	ADV
ap-4889	57	3	recently	recently	ADV
ap-4889	57	4	,	,	PUNCT
ap-4889	57	5	s.benbakreti	s.benbakreti	PUNCT
ap-4889	57	6	and	and	CCONJ
ap-4889	57	7	a.boukelif	a.boukelif	VERB
ap-4889	57	8	proposed	propose	VERB
ap-4889	57	9	a	a	DET
ap-4889	57	10	tdnn	tdnn	NOUN
ap-4889	57	11	“	"	PUNCT
ap-4889	57	12	time	time	NOUN
ap-4889	57	13	delay	delay	NOUN
ap-4889	57	14	neural	neural	ADJ
ap-4889	57	15	network	network	NOUN
ap-4889	57	16	”	"	PUNCT
ap-4889	57	17	based	base	VERB
ap-4889	57	18	recognition	recognition	NOUN
ap-4889	57	19	system	system	NOUN
ap-4889	57	20	of	of	ADP
ap-4889	57	21	the	the	DET
ap-4889	57	22	online	online	ADJ
ap-4889	57	23	isolated	isolated	ADJ
ap-4889	57	24	arabic	arabic	ADJ
ap-4889	57	25	characters	character	NOUN
ap-4889	58	1	[	[	X
ap-4889	58	2	10	10	NUM
ap-4889	58	3	]	]	PUNCT
ap-4889	58	4	.	.	PUNCT
ap-4889	59	1	in	in	ADP
ap-4889	59	2	this	this	DET
ap-4889	59	3	work	work	NOUN
ap-4889	59	4	,	,	PUNCT
ap-4889	59	5	we	we	PRON
ap-4889	59	6	present	present	VERB
ap-4889	59	7	a	a	DET
ap-4889	59	8	design	design	NOUN
ap-4889	59	9	of	of	ADP
ap-4889	59	10	an	an	DET
ap-4889	59	11	arabic	arabic	ADJ
ap-4889	59	12	handwriting	handwriting	NOUN
ap-4889	59	13	recognition	recognition	NOUN
ap-4889	59	14	system	system	NOUN
ap-4889	59	15	;	;	PUNCT
ap-4889	59	16	we	we	PRON
ap-4889	59	17	propose	propose	VERB
ap-4889	59	18	a	a	DET
ap-4889	59	19	classification	classification	NOUN
ap-4889	59	20	approach	approach	NOUN
ap-4889	59	21	based	base	VERB
ap-4889	59	22	on	on	ADP
ap-4889	59	23	neural	neural	ADJ
ap-4889	59	24	networks	network	NOUN
ap-4889	59	25	.	.	PUNCT
ap-4889	60	1	figure	figure	NOUN
ap-4889	60	2	2	2	NUM
ap-4889	60	3	illustrates	illustrate	VERB
ap-4889	60	4	the	the	DET
ap-4889	60	5	architecture	architecture	NOUN
ap-4889	60	6	of	of	ADP
ap-4889	60	7	the	the	DET
ap-4889	60	8	proposed	propose	VERB
ap-4889	60	9	system	system	NOUN
ap-4889	60	10	.	.	PUNCT
ap-4889	61	1	acquisition	acquisition	NOUN
ap-4889	61	2	and	and	CCONJ
ap-4889	61	3	storage	storage	NOUN
ap-4889	61	4	interface	interface	NOUN
ap-4889	61	5	pretreatment	pretreatment	NOUN
ap-4889	61	6	feature	feature	NOUN
ap-4889	61	7	extraction	extraction	NOUN
ap-4889	61	8	classifier	classifier	NOUN
ap-4889	61	9	(	(	PUNCT
ap-4889	61	10	nn	nn	NOUN
ap-4889	61	11	)	)	PUNCT
ap-4889	61	12	optional	optional	ADJ
ap-4889	61	13	step	step	NOUN
ap-4889	61	14	according	accord	VERB
ap-4889	61	15	to	to	ADP
ap-4889	61	16	nn	nn	PROPN
ap-4889	61	17	choice	choice	NOUN
ap-4889	61	18	character	character	NOUN
ap-4889	61	19	or	or	CCONJ
ap-4889	61	20	word	word	NOUN
ap-4889	61	21	identified	identify	VERB
ap-4889	61	22	figure	figure	NOUN
ap-4889	61	23	2	2	NUM
ap-4889	61	24	.	.	PUNCT
ap-4889	61	25	architecture	architecture	NOUN
ap-4889	61	26	of	of	ADP
ap-4889	61	27	the	the	DET
ap-4889	61	28	recognition	recognition	NOUN
ap-4889	61	29	system	system	NOUN
ap-4889	61	30	.	.	PUNCT
ap-4889	62	1	2	2	X
ap-4889	62	2	.	.	X
ap-4889	62	3	processing	processing	NOUN
ap-4889	62	4	and	and	CCONJ
ap-4889	62	5	features	feature	VERB
ap-4889	62	6	extraction	extraction	NOUN
ap-4889	62	7	the	the	DET
ap-4889	62	8	preprocessing	preprocessing	NOUN
ap-4889	62	9	stage	stage	NOUN
ap-4889	62	10	described	describe	VERB
ap-4889	62	11	in	in	ADP
ap-4889	62	12	the	the	DET
ap-4889	62	13	previous	previous	ADJ
ap-4889	62	14	recognition	recognition	NOUN
ap-4889	62	15	system	system	NOUN
ap-4889	62	16	used	use	VERB
ap-4889	62	17	for	for	ADP
ap-4889	62	18	the	the	DET
ap-4889	62	19	character	character	NOUN
ap-4889	62	20	size	size	NOUN
ap-4889	62	21	normalization	normalization	NOUN
ap-4889	62	22	and	and	CCONJ
ap-4889	62	23	trace	trace	NOUN
ap-4889	62	24	sampling	sample	VERB
ap-4889	62	25	in	in	ADP
ap-4889	62	26	a	a	DET
ap-4889	62	27	fixed	fix	VERB
ap-4889	62	28	number	number	NOUN
ap-4889	62	29	equidistant	equidistant	ADJ
ap-4889	62	30	points	point	NOUN
ap-4889	62	31	fashion	fashion	NOUN
ap-4889	62	32	.	.	PUNCT
ap-4889	63	1	the	the	DET
ap-4889	63	2	next	next	ADJ
ap-4889	63	3	stage	stage	NOUN
ap-4889	63	4	extracts	extract	VERB
ap-4889	63	5	features	feature	NOUN
ap-4889	63	6	from	from	ADP
ap-4889	63	7	the	the	DET
ap-4889	63	8	previously	previously	ADV
ap-4889	63	9	sampled	sample	VERB
ap-4889	63	10	trace	trace	NOUN
ap-4889	63	11	,	,	PUNCT
ap-4889	63	12	which	which	PRON
ap-4889	63	13	prepares	prepare	VERB
ap-4889	63	14	the	the	DET
ap-4889	63	15	input	input	NOUN
ap-4889	63	16	for	for	ADP
ap-4889	63	17	the	the	DET
ap-4889	63	18	neural	neural	ADJ
ap-4889	63	19	network	network	NOUN
ap-4889	63	20	classifier	classifier	NOUN
ap-4889	63	21	.	.	PUNCT
ap-4889	64	1	after	after	ADP
ap-4889	64	2	the	the	DET
ap-4889	64	3	training	training	NOUN
ap-4889	64	4	phase	phase	NOUN
ap-4889	64	5	,	,	PUNCT
ap-4889	64	6	the	the	DET
ap-4889	64	7	class	class	NOUN
ap-4889	64	8	of	of	ADP
ap-4889	64	9	the	the	DET
ap-4889	64	10	character	character	NOUN
ap-4889	64	11	is	be	AUX
ap-4889	64	12	supplied	supply	VERB
ap-4889	64	13	at	at	ADP
ap-4889	64	14	the	the	DET
ap-4889	64	15	output	output	NOUN
ap-4889	64	16	layer	layer	NOUN
ap-4889	64	17	.	.	PUNCT
ap-4889	65	1	this	this	DET
ap-4889	65	2	procedure	procedure	NOUN
ap-4889	65	3	is	be	AUX
ap-4889	65	4	respected	respect	VERB
ap-4889	65	5	by	by	ADP
ap-4889	65	6	almost	almost	ADV
ap-4889	65	7	all	all	DET
ap-4889	65	8	the	the	DET
ap-4889	65	9	neural	neural	ADJ
ap-4889	65	10	networks	network	NOUN
ap-4889	65	11	.	.	PUNCT
ap-4889	66	1	however	however	ADV
ap-4889	66	2	,	,	PUNCT
ap-4889	66	3	the	the	DET
ap-4889	66	4	deep	deep	ADJ
ap-4889	66	5	neural	neural	ADJ
ap-4889	66	6	networks	network	NOUN
ap-4889	66	7	do	do	AUX
ap-4889	66	8	not	not	PART
ap-4889	66	9	require	require	VERB
ap-4889	66	10	any	any	DET
ap-4889	66	11	features	feature	NOUN
ap-4889	66	12	extraction	extraction	NOUN
ap-4889	66	13	phase	phase	NOUN
ap-4889	66	14	.	.	PUNCT
ap-4889	67	1	the	the	DET
ap-4889	67	2	task	task	NOUN
ap-4889	67	3	is	be	AUX
ap-4889	67	4	done	do	VERB
ap-4889	67	5	implicitly	implicitly	ADV
ap-4889	67	6	in	in	ADP
ap-4889	67	7	the	the	DET
ap-4889	67	8	network	network	NOUN
ap-4889	67	9	.	.	PUNCT
ap-4889	68	1	the	the	DET
ap-4889	68	2	task	task	NOUN
ap-4889	68	3	of	of	ADP
ap-4889	68	4	the	the	DET
ap-4889	68	5	character	character	NOUN
ap-4889	68	6	recognition	recognition	NOUN
ap-4889	68	7	is	be	AUX
ap-4889	68	8	difficult	difficult	ADJ
ap-4889	68	9	,	,	PUNCT
ap-4889	68	10	because	because	SCONJ
ap-4889	68	11	of	of	ADP
ap-4889	68	12	the	the	DET
ap-4889	68	13	big	big	ADJ
ap-4889	68	14	variability	variability	NOUN
ap-4889	68	15	inherent	inherent	ADJ
ap-4889	68	16	to	to	ADP
ap-4889	68	17	the	the	DET
ap-4889	68	18	handwriting	handwriting	NOUN
ap-4889	68	19	style	style	NOUN
ap-4889	68	20	and	and	CCONJ
ap-4889	68	21	the	the	DET
ap-4889	68	22	variation	variation	NOUN
ap-4889	68	23	of	of	ADP
ap-4889	68	24	the	the	DET
ap-4889	68	25	character	character	NOUN
ap-4889	68	26	position	position	NOUN
ap-4889	68	27	in	in	ADP
ap-4889	68	28	the	the	DET
ap-4889	68	29	word	word	NOUN
ap-4889	68	30	(	(	PUNCT
ap-4889	68	31	see	see	VERB
ap-4889	68	32	figure	figure	NOUN
ap-4889	68	33	3	3	NUM
ap-4889	68	34	)	)	PUNCT
ap-4889	68	35	.	.	PUNCT
ap-4889	69	1	for	for	ADP
ap-4889	69	2	most	most	ADJ
ap-4889	69	3	of	of	ADP
ap-4889	69	4	the	the	DET
ap-4889	69	5	arabic	arabic	ADJ
ap-4889	69	6	letters	letter	NOUN
ap-4889	69	7	,	,	PUNCT
ap-4889	69	8	similarities	similarity	NOUN
ap-4889	69	9	are	be	AUX
ap-4889	69	10	noticed	notice	VERB
ap-4889	69	11	between	between	ADP
ap-4889	69	12	forms	form	NOUN
ap-4889	69	13	at	at	ADP
ap-4889	69	14	the	the	DET
ap-4889	69	15	beginning/	beginning/	NUM
ap-4889	69	16	middle	middle	NOUN
ap-4889	69	17	on	on	ADP
ap-4889	69	18	the	the	DET
ap-4889	69	19	one	one	NUM
ap-4889	69	20	hand	hand	NOUN
ap-4889	69	21	and	and	CCONJ
ap-4889	69	22	the	the	DET
ap-4889	69	23	end/	end/	NOUN
ap-4889	69	24	isolated	isolate	VERB
ap-4889	69	25	on	on	ADP
ap-4889	69	26	the	the	DET
ap-4889	69	27	other	other	ADJ
ap-4889	69	28	.	.	PUNCT
ap-4889	70	1	the	the	DET
ap-4889	70	2	presence	presence	NOUN
ap-4889	70	3	of	of	ADP
ap-4889	70	4	a	a	DET
ap-4889	70	5	ligature	ligature	NOUN
ap-4889	70	6	with	with	ADP
ap-4889	70	7	a	a	DET
ap-4889	70	8	previous	previous	ADJ
ap-4889	70	9	/	/	SYM
ap-4889	70	10	next	next	ADJ
ap-4889	70	11	letter	letter	NOUN
ap-4889	70	12	does	do	AUX
ap-4889	70	13	not	not	PART
ap-4889	70	14	significantly	significantly	ADV
ap-4889	70	15	modify	modify	VERB
ap-4889	70	16	the	the	DET
ap-4889	70	17	form	form	NOUN
ap-4889	70	18	of	of	ADP
ap-4889	70	19	the	the	DET
ap-4889	70	20	letter	letter	NOUN
ap-4889	70	21	(	(	PUNCT
ap-4889	70	22	no	no	PRON
ap-4889	70	23	more	more	ADJ
ap-4889	70	24	than	than	ADP
ap-4889	70	25	the	the	DET
ap-4889	70	26	case	case	NOUN
ap-4889	70	27	of	of	ADP
ap-4889	70	28	latin	latin	ADJ
ap-4889	70	29	cursive	cursive	ADJ
ap-4889	70	30	handwriting	handwriting	NOUN
ap-4889	70	31	)	)	PUNCT
ap-4889	70	32	.	.	PUNCT
ap-4889	71	1	arabic	arabic	PROPN
ap-4889	71	2	ligatures	ligature	NOUN
ap-4889	71	3	occur	occur	VERB
ap-4889	71	4	where	where	SCONJ
ap-4889	71	5	two	two	NUM
ap-4889	71	6	letters	letter	NOUN
ap-4889	71	7	are	be	AUX
ap-4889	71	8	written	write	VERB
ap-4889	71	9	one	one	NUM
ap-4889	71	10	upon	upon	SCONJ
ap-4889	71	11	the	the	DET
ap-4889	71	12	other	other	ADJ
ap-4889	71	13	.	.	PUNCT
ap-4889	72	1	furthermore	furthermore	ADV
ap-4889	72	2	,	,	PUNCT
ap-4889	72	3	the	the	DET
ap-4889	72	4	arabic	arabic	ADJ
ap-4889	72	5	writing	writing	NOUN
ap-4889	72	6	is	be	AUX
ap-4889	72	7	rich	rich	ADJ
ap-4889	72	8	in	in	ADP
ap-4889	72	9	diacritic	diacritic	ADJ
ap-4889	72	10	signs	sign	NOUN
ap-4889	72	11	(	(	PUNCT
ap-4889	72	12	or	or	CCONJ
ap-4889	72	13	secondary	secondary	ADJ
ap-4889	72	14	signs	sign	NOUN
ap-4889	72	15	)	)	PUNCT
ap-4889	72	16	such	such	ADJ
ap-4889	72	17	as	as	ADP
ap-4889	72	18	vowels	vowel	NOUN
ap-4889	72	19	,	,	PUNCT
ap-4889	72	20	points	point	NOUN
ap-4889	72	21	(	(	PUNCT
ap-4889	72	22	dots	dot	NOUN
ap-4889	72	23	)	)	PUNCT
ap-4889	72	24	,	,	PUNCT
ap-4889	72	25	chaddah	chaddah	PROPN
ap-4889	72	26	,	,	PUNCT
ap-4889	72	27	maddah	maddah	PROPN
ap-4889	72	28	,	,	PUNCT
ap-4889	72	29	hamzah	hamzah	PROPN
ap-4889	72	30	,	,	PUNCT
ap-4889	72	31	etc	etc	X
ap-4889	72	32	.	.	X
ap-4889	72	33	in	in	ADP
ap-4889	72	34	our	our	PRON
ap-4889	72	35	work	work	NOUN
ap-4889	72	36	,	,	PUNCT
ap-4889	72	37	we	we	PRON
ap-4889	72	38	define	define	VERB
ap-4889	72	39	a	a	DET
ap-4889	72	40	diacritical	diacritical	ADJ
ap-4889	72	41	mark	mark	NOUN
ap-4889	72	42	as	as	ADP
ap-4889	72	43	a	a	DET
ap-4889	72	44	secondary	secondary	ADJ
ap-4889	72	45	component	component	NOUN
ap-4889	72	46	of	of	ADP
ap-4889	72	47	a	a	DET
ap-4889	72	48	letter	letter	NOUN
ap-4889	72	49	,	,	PUNCT
ap-4889	72	50	which	which	PRON
ap-4889	72	51	may	may	AUX
ap-4889	72	52	complete	complete	VERB
ap-4889	72	53	it	it	PRON
ap-4889	72	54	or	or	CCONJ
ap-4889	72	55	even	even	ADV
ap-4889	72	56	modify	modify	VERB
ap-4889	72	57	the	the	DET
ap-4889	72	58	whole	whole	ADJ
ap-4889	72	59	sense	sense	NOUN
ap-4889	72	60	of	of	ADP
ap-4889	72	61	the	the	DET
ap-4889	72	62	word	word	NOUN
ap-4889	72	63	.	.	PUNCT
ap-4889	73	1	but	but	CCONJ
ap-4889	73	2	the	the	DET
ap-4889	73	3	notion	notion	NOUN
ap-4889	73	4	of	of	ADP
ap-4889	73	5	vowel	vowel	NOUN
ap-4889	73	6	,	,	PUNCT
ap-4889	73	7	such	such	ADJ
ap-4889	73	8	as	as	ADP
ap-4889	73	9	el	el	PROPN
ap-4889	73	10	damah	damah	PROPN
ap-4889	73	11	,	,	PUNCT
ap-4889	73	12	el	el	PROPN
ap-4889	73	13	kasrah	kasrah	PROPN
ap-4889	73	14	,	,	PUNCT
ap-4889	73	15	el	el	PROPN
ap-4889	73	16	fathah	fathah	PROPN
ap-4889	73	17	and	and	CCONJ
ap-4889	73	18	el	el	PROPN
ap-4889	73	19	soukoun	soukoun	PROPN
ap-4889	73	20	are	be	AUX
ap-4889	73	21	not	not	PART
ap-4889	73	22	considered	consider	VERB
ap-4889	73	23	.	.	PUNCT
ap-4889	74	1	298	298	NUM
ap-4889	74	2	vol	vol	NOUN
ap-4889	74	3	.	.	PUNCT
ap-4889	75	1	58	58	NUM
ap-4889	75	2	no	no	INTJ
ap-4889	75	3	.	.	PUNCT
ap-4889	76	1	5/2018	5/2018	NUM
ap-4889	76	2	new	new	ADJ
ap-4889	76	3	approach	approach	NOUN
ap-4889	76	4	for	for	ADP
ap-4889	76	5	online	online	ADJ
ap-4889	76	6	arabic	arabic	ADJ
ap-4889	76	7	manuscript	manuscript	PROPN
ap-4889	76	8	recongnition	recongnition	NOUN
ap-4889	76	9	by	by	ADP
ap-4889	76	10	deep	deep	ADJ
ap-4889	76	11	belief	belief	NOUN
ap-4889	76	12	network	network	NOUN
ap-4889	76	13	figure	figure	NOUN
ap-4889	76	14	3	3	NUM
ap-4889	76	15	.	.	PUNCT
ap-4889	77	1	different	different	ADJ
ap-4889	77	2	forms	form	NOUN
ap-4889	77	3	of	of	ADP
ap-4889	77	4	the	the	DET
ap-4889	77	5	arabic	arabic	ADJ
ap-4889	77	6	character	character	NOUN
ap-4889	77	7	according	accord	VERB
ap-4889	77	8	to	to	ADP
ap-4889	77	9	its	its	PRON
ap-4889	77	10	position	position	NOUN
ap-4889	77	11	in	in	ADP
ap-4889	77	12	the	the	DET
ap-4889	77	13	word	word	NOUN
ap-4889	77	14	.	.	PUNCT
ap-4889	78	1	figure	figure	NOUN
ap-4889	78	2	4	4	NUM
ap-4889	78	3	.	.	PUNCT
ap-4889	79	1	result	result	NOUN
ap-4889	79	2	of	of	ADP
ap-4889	79	3	preprocessing	preprocesse	VERB
ap-4889	79	4	:	:	PUNCT
ap-4889	79	5	(	(	PUNCT
ap-4889	79	6	a	a	X
ap-4889	79	7	)	)	PUNCT
ap-4889	79	8	character	character	NOUN
ap-4889	79	9	noun	noun	NOUN
ap-4889	79	10	before	before	ADP
ap-4889	79	11	preprocessing	preprocesse	VERB
ap-4889	79	12	;	;	PUNCT
ap-4889	79	13	(	(	PUNCT
ap-4889	79	14	b	b	X
ap-4889	79	15	)	)	PUNCT
ap-4889	79	16	character	character	NOUN
ap-4889	79	17	noun	noun	NOUN
ap-4889	79	18	after	after	ADP
ap-4889	79	19	preprocessing	preprocesse	VERB
ap-4889	79	20	.	.	PUNCT
ap-4889	80	1	these	these	DET
ap-4889	80	2	specificities	specificity	NOUN
ap-4889	80	3	of	of	ADP
ap-4889	80	4	the	the	DET
ap-4889	80	5	arabic	arabic	ADJ
ap-4889	80	6	language	language	NOUN
ap-4889	80	7	make	make	VERB
ap-4889	80	8	the	the	DET
ap-4889	80	9	recognition	recognition	NOUN
ap-4889	80	10	task	task	NOUN
ap-4889	80	11	more	more	ADV
ap-4889	80	12	complicated	complicated	ADJ
ap-4889	80	13	,	,	PUNCT
ap-4889	80	14	hence	hence	ADV
ap-4889	80	15	the	the	DET
ap-4889	80	16	necessity	necessity	NOUN
ap-4889	80	17	to	to	PART
ap-4889	80	18	do	do	AUX
ap-4889	80	19	a	a	DET
ap-4889	80	20	preprocessing	preprocessing	NOUN
ap-4889	80	21	including	include	VERB
ap-4889	80	22	the	the	DET
ap-4889	80	23	following	following	ADJ
ap-4889	80	24	steps	step	NOUN
ap-4889	80	25	:	:	PUNCT
ap-4889	80	26	•	•	ADP
ap-4889	80	27	a	a	DET
ap-4889	80	28	spatial	spatial	ADJ
ap-4889	80	29	sampling	sampling	NOUN
ap-4889	80	30	that	that	PRON
ap-4889	80	31	allows	allow	VERB
ap-4889	80	32	preserving	preserve	VERB
ap-4889	80	33	the	the	DET
ap-4889	80	34	useful	useful	ADJ
ap-4889	80	35	information	information	NOUN
ap-4889	80	36	of	of	ADP
ap-4889	80	37	the	the	DET
ap-4889	80	38	signal	signal	NOUN
ap-4889	80	39	and	and	CCONJ
ap-4889	80	40	excluding	exclude	VERB
ap-4889	80	41	the	the	DET
ap-4889	80	42	redundant	redundant	ADJ
ap-4889	80	43	information	information	NOUN
ap-4889	80	44	resulting	result	VERB
ap-4889	80	45	from	from	ADP
ap-4889	80	46	the	the	DET
ap-4889	80	47	repetition	repetition	NOUN
ap-4889	80	48	of	of	ADP
ap-4889	80	49	points	point	NOUN
ap-4889	80	50	.	.	PUNCT
ap-4889	81	1	indeed	indeed	ADV
ap-4889	81	2	,	,	PUNCT
ap-4889	81	3	the	the	DET
ap-4889	81	4	duration	duration	NOUN
ap-4889	81	5	of	of	ADP
ap-4889	81	6	character	character	NOUN
ap-4889	81	7	formation	formation	NOUN
ap-4889	81	8	as	as	ADV
ap-4889	81	9	well	well	ADV
ap-4889	81	10	as	as	ADP
ap-4889	81	11	its	its	PRON
ap-4889	81	12	shape	shape	NOUN
ap-4889	81	13	can	can	AUX
ap-4889	81	14	vary	vary	VERB
ap-4889	81	15	significantly	significantly	ADV
ap-4889	81	16	from	from	ADP
ap-4889	81	17	one	one	NUM
ap-4889	81	18	writer	writer	NOUN
ap-4889	81	19	to	to	ADP
ap-4889	81	20	another	another	PRON
ap-4889	81	21	and	and	CCONJ
ap-4889	81	22	from	from	ADP
ap-4889	81	23	an	an	DET
ap-4889	81	24	occurrence	occurrence	NOUN
ap-4889	81	25	to	to	ADP
ap-4889	81	26	another	another	PRON
ap-4889	81	27	.	.	PUNCT
ap-4889	82	1	the	the	DET
ap-4889	82	2	spatial	spatial	ADJ
ap-4889	82	3	sampling	sampling	NOUN
ap-4889	82	4	transforms	transform	VERB
ap-4889	82	5	a	a	DET
ap-4889	82	6	handwriting	handwriting	NOUN
ap-4889	82	7	signal	signal	NOUN
ap-4889	82	8	into	into	ADP
ap-4889	82	9	a	a	DET
ap-4889	82	10	sequence	sequence	NOUN
ap-4889	82	11	of	of	ADP
ap-4889	82	12	equally	equally	ADV
ap-4889	82	13	spaced	space	VERB
ap-4889	82	14	points	point	NOUN
ap-4889	82	15	with	with	ADP
ap-4889	82	16	coordinates	coordinate	NOUN
ap-4889	82	17	[	[	X
ap-4889	82	18	x(n	x(n	NOUN
ap-4889	82	19	)	)	PUNCT
ap-4889	82	20	,	,	PUNCT
ap-4889	82	21	y	y	PROPN
ap-4889	82	22	(	(	PUNCT
ap-4889	82	23	n	n	CCONJ
ap-4889	82	24	)	)	PUNCT
ap-4889	82	25	]	]	PUNCT
ap-4889	83	1	(	(	PUNCT
ap-4889	83	2	n	n	X
ap-4889	83	3	is	be	AUX
ap-4889	83	4	the	the	DET
ap-4889	83	5	point	point	NOUN
ap-4889	83	6	index	index	NOUN
ap-4889	83	7	)	)	PUNCT
ap-4889	83	8	according	accord	VERB
ap-4889	83	9	to	to	ADP
ap-4889	83	10	the	the	DET
ap-4889	83	11	length	length	NOUN
ap-4889	83	12	of	of	ADP
ap-4889	83	13	the	the	DET
ap-4889	83	14	trace	trace	NOUN
ap-4889	83	15	for	for	ADP
ap-4889	83	16	a	a	DET
ap-4889	83	17	fixed	fix	VERB
ap-4889	83	18	number	number	NOUN
ap-4889	83	19	of	of	ADP
ap-4889	83	20	points	point	NOUN
ap-4889	83	21	.	.	PUNCT
ap-4889	83	22	.	.	PUNCT
ap-4889	84	1	definition	definition	NOUN
ap-4889	84	2	of	of	ADP
ap-4889	84	3	the	the	DET
ap-4889	84	4	line	line	NOUN
ap-4889	84	5	between	between	ADP
ap-4889	84	6	pen	pen	NOUN
ap-4889	84	7	up	up	ADP
ap-4889	84	8	and	and	CCONJ
ap-4889	84	9	pen	pen	VERB
ap-4889	84	10	down	down	ADP
ap-4889	84	11	.	.	PUNCT
ap-4889	85	1	n	n	CCONJ
ap-4889	85	2	:	:	PUNCT
ap-4889	85	3	number	number	NOUN
ap-4889	85	4	of	of	ADP
ap-4889	85	5	sampling	sample	VERB
ap-4889	85	6	points	point	NOUN
ap-4889	85	7	reservation	reservation	NOUN
ap-4889	85	8	of	of	ADP
ap-4889	85	9	the	the	DET
ap-4889	85	10	memory	memory	NOUN
ap-4889	85	11	space	space	NOUN
ap-4889	85	12	for	for	ADP
ap-4889	85	13	the	the	DET
ap-4889	85	14	following	follow	VERB
ap-4889	85	15	vectors	vector	NOUN
ap-4889	85	16	:	:	PUNCT
ap-4889	85	17	x	x	X
ap-4889	85	18	,	,	PUNCT
ap-4889	85	19	y	y	PROPN
ap-4889	85	20	,	,	PUNCT
ap-4889	85	21	penup	penup	ADJ
ap-4889	85	22	/	/	SYM
ap-4889	85	23	down	down	ADV
ap-4889	85	24	.	.	PUNCT
ap-4889	86	1	calculation	calculation	NOUN
ap-4889	86	2	of	of	ADP
ap-4889	86	3	the	the	DET
ap-4889	86	4	total	total	ADJ
ap-4889	86	5	length	length	NOUN
ap-4889	86	6	of	of	ADP
ap-4889	86	7	the	the	DET
ap-4889	86	8	signal	signal	NOUN
ap-4889	86	9	:	:	PUNCT
ap-4889	86	10	if	if	SCONJ
ap-4889	86	11	only	only	ADV
ap-4889	86	12	one	one	NUM
ap-4889	86	13	trait	trait	NOUN
ap-4889	86	14	:	:	PUNCT
ap-4889	86	15	length	length	NOUN
ap-4889	86	16	=	=	SYM
ap-4889	86	17	length	length	NOUN
ap-4889	86	18	+	+	CCONJ
ap-4889	86	19	distance	distance	NOUN
ap-4889	86	20	between	between	ADP
ap-4889	86	21	points	point	NOUN
ap-4889	86	22	if	if	SCONJ
ap-4889	86	23	several	several	ADJ
ap-4889	86	24	traits	trait	NOUN
ap-4889	86	25	:	:	PUNCT
ap-4889	86	26	length	length	NOUN
ap-4889	86	27	=	=	SYM
ap-4889	86	28	length	length	NOUN
ap-4889	86	29	+	+	CCONJ
ap-4889	86	30	length	length	NOUN
ap-4889	86	31	between	between	ADP
ap-4889	86	32	strokes	stroke	NOUN
ap-4889	86	33	.	.	PUNCT
ap-4889	86	34	.	.	PUNCT
ap-4889	87	1	calculation	calculation	NOUN
ap-4889	87	2	of	of	ADP
ap-4889	87	3	the	the	DET
ap-4889	87	4	sampling	sampling	NOUN
ap-4889	87	5	distance	distance	NOUN
ap-4889	87	6	dist	dist	NOUN
ap-4889	87	7	-	-	PUNCT
ap-4889	87	8	samp	samp	NOUN
ap-4889	87	9	=	=	NOUN
ap-4889	87	10	length/(n	length/(n	NOUN
ap-4889	87	11	−	−	PROPN
ap-4889	87	12	1	1	NUM
ap-4889	87	13	)	)	PUNCT
ap-4889	87	14	determination	determination	NOUN
ap-4889	87	15	of	of	ADP
ap-4889	87	16	n	n	ADV
ap-4889	87	17	−	−	PROPN
ap-4889	87	18	1	1	NUM
ap-4889	87	19	points	point	NOUN
ap-4889	87	20	by	by	ADP
ap-4889	87	21	interpolation	interpolation	NOUN
ap-4889	87	22	•	•	NOUN
ap-4889	87	23	character	character	NOUN
ap-4889	87	24	normalization	normalization	NOUN
ap-4889	87	25	and	and	CCONJ
ap-4889	87	26	centring	centring	NOUN
ap-4889	87	27	:	:	PUNCT
ap-4889	87	28	the	the	DET
ap-4889	87	29	character	character	NOUN
ap-4889	87	30	is	be	AUX
ap-4889	87	31	recentred	recentre	VERB
ap-4889	87	32	to	to	ADP
ap-4889	87	33	(	(	PUNCT
ap-4889	87	34	x0	x0	PROPN
ap-4889	87	35	,	,	PUNCT
ap-4889	87	36	y0	y0	PROPN
ap-4889	87	37	)	)	PUNCT
ap-4889	87	38	then	then	ADV
ap-4889	87	39	normalized	normalize	VERB
ap-4889	87	40	to	to	ADP
ap-4889	87	41	the	the	DET
ap-4889	87	42	maximal	maximal	ADJ
ap-4889	87	43	size	size	NOUN
ap-4889	87	44	of	of	ADP
ap-4889	87	45	the	the	DET
ap-4889	87	46	character	character	NOUN
ap-4889	87	47	.	.	PUNCT
ap-4889	88	1	to	to	PART
ap-4889	88	2	obtain	obtain	VERB
ap-4889	88	3	an	an	DET
ap-4889	88	4	invariant	invariant	ADJ
ap-4889	88	5	representation	representation	NOUN
ap-4889	88	6	with	with	ADP
ap-4889	88	7	respect	respect	NOUN
ap-4889	88	8	to	to	ADP
ap-4889	88	9	the	the	DET
ap-4889	88	10	translations	translation	NOUN
ap-4889	88	11	and	and	CCONJ
ap-4889	88	12	the	the	DET
ap-4889	88	13	spatial	spatial	ADJ
ap-4889	88	14	distortions	distortion	NOUN
ap-4889	88	15	.	.	PUNCT
ap-4889	89	1	a	a	DET
ap-4889	89	2	result	result	NOUN
ap-4889	89	3	sample	sample	NOUN
ap-4889	89	4	of	of	ADP
ap-4889	89	5	these	these	DET
ap-4889	89	6	two	two	NUM
ap-4889	89	7	preprocessing	preprocessing	NOUN
ap-4889	89	8	steps	step	NOUN
ap-4889	89	9	is	be	AUX
ap-4889	89	10	illustrated	illustrate	VERB
ap-4889	89	11	in	in	ADP
ap-4889	89	12	figure	figure	NOUN
ap-4889	89	13	4	4	NUM
ap-4889	89	14	:	:	PUNCT
ap-4889	89	15	once	once	SCONJ
ap-4889	89	16	the	the	DET
ap-4889	89	17	preprocessing	preprocessing	NOUN
ap-4889	89	18	step	step	NOUN
ap-4889	89	19	is	be	AUX
ap-4889	89	20	finished	finish	VERB
ap-4889	89	21	,	,	PUNCT
ap-4889	89	22	in	in	SCONJ
ap-4889	89	23	order	order	NOUN
ap-4889	89	24	to	to	PART
ap-4889	89	25	facilitate	facilitate	VERB
ap-4889	89	26	the	the	DET
ap-4889	89	27	classifier	classifier	PROPN
ap-4889	89	28	task	task	NOUN
ap-4889	89	29	,	,	PUNCT
ap-4889	89	30	geometric	geometric	ADJ
ap-4889	89	31	information	information	NOUN
ap-4889	89	32	,	,	PUNCT
ap-4889	89	33	such	such	ADJ
ap-4889	89	34	as	as	ADP
ap-4889	89	35	the	the	DET
ap-4889	89	36	direction	direction	NOUN
ap-4889	89	37	of	of	ADP
ap-4889	89	38	movement	movement	NOUN
ap-4889	89	39	and	and	CCONJ
ap-4889	89	40	the	the	DET
ap-4889	89	41	curvature	curvature	NOUN
ap-4889	89	42	of	of	ADP
ap-4889	89	43	the	the	DET
ap-4889	89	44	trajectory	trajectory	NOUN
ap-4889	89	45	,	,	PUNCT
ap-4889	89	46	are	be	AUX
ap-4889	89	47	extracted	extract	VERB
ap-4889	89	48	from	from	ADP
ap-4889	89	49	this	this	DET
ap-4889	89	50	sequence	sequence	NOUN
ap-4889	89	51	of	of	ADP
ap-4889	89	52	points	point	NOUN
ap-4889	89	53	.	.	PUNCT
ap-4889	90	1	we	we	PRON
ap-4889	90	2	then	then	ADV
ap-4889	90	3	obtain	obtain	VERB
ap-4889	90	4	a	a	DET
ap-4889	90	5	vector	vector	NOUN
ap-4889	90	6	sequence	sequence	NOUN
ap-4889	90	7	of	of	ADP
ap-4889	90	8	7	7	NUM
ap-4889	90	9	characteristics	characteristic	NOUN
ap-4889	90	10	,	,	PUNCT
ap-4889	90	11	which	which	PRON
ap-4889	90	12	are	be	AUX
ap-4889	90	13	mentioned	mention	VERB
ap-4889	90	14	in	in	ADP
ap-4889	90	15	the	the	DET
ap-4889	90	16	following	following	NOUN
ap-4889	90	17	:	:	PUNCT
ap-4889	90	18	•	•	ADP
ap-4889	90	19	the	the	DET
ap-4889	90	20	x	x	PUNCT
ap-4889	90	21	coordinates	coordinate	NOUN
ap-4889	90	22	•	•	VERB
ap-4889	90	23	the	the	DET
ap-4889	90	24	y	y	PROPN
ap-4889	90	25	coordinates	coordinate	VERB
ap-4889	90	26	299	299	NUM
ap-4889	90	27	benbakreti	benbakreti	ADJ
ap-4889	90	28	samir	samir	NOUN
ap-4889	90	29	,	,	PUNCT
ap-4889	90	30	aoued	aoued	PROPN
ap-4889	90	31	boukelif	boukelif	PROPN
ap-4889	90	32	acta	acta	PROPN
ap-4889	90	33	polytechnica	polytechnica	PROPN
ap-4889	90	34	algorithm	algorithm	PROPN
ap-4889	90	35	1	1	NUM
ap-4889	90	36	xmax	xmax	PROPN
ap-4889	90	37	←	←	PROPN
ap-4889	90	38	x(0	x(0	PROPN
ap-4889	90	39	)	)	PUNCT
ap-4889	90	40	xmin	xmin	PROPN
ap-4889	90	41	←	←	PROPN
ap-4889	90	42	x(0	x(0	PROPN
ap-4889	90	43	)	)	PUNCT
ap-4889	90	44	ymax	ymax	PROPN
ap-4889	91	1	←	←	PROPN
ap-4889	91	2	y(0	y(0	PROPN
ap-4889	91	3	)	)	PUNCT
ap-4889	91	4	ymin	ymin	NOUN
ap-4889	91	5	←	←	PROPN
ap-4889	91	6	y(0	y(0	PROPN
ap-4889	91	7	)	)	PUNCT
ap-4889	91	8	{	{	PUNCT
ap-4889	91	9	calculation	calculation	NOUN
ap-4889	91	10	of	of	ADP
ap-4889	91	11	the	the	DET
ap-4889	91	12	center	center	NOUN
ap-4889	91	13	of	of	ADP
ap-4889	91	14	the	the	DET
ap-4889	91	15	character	character	NOUN
ap-4889	92	1	[	[	X
ap-4889	92	2	x0	x0	PROPN
ap-4889	92	3	,	,	PUNCT
ap-4889	92	4	y0	y0	PROPN
ap-4889	92	5	]	]	PUNCT
ap-4889	92	6	}	}	PUNCT
ap-4889	92	7	n←	n←	X
ap-4889	92	8	0	0	NUM
ap-4889	92	9	while	while	SCONJ
ap-4889	92	10	n	n	ADV
ap-4889	92	11	≤	≤	NUM
ap-4889	93	1	n	n	CCONJ
ap-4889	93	2	−	−	PROPN
ap-4889	93	3	1	1	NUM
ap-4889	93	4	do	do	VERB
ap-4889	93	5	if	if	SCONJ
ap-4889	93	6	x(n	x(n	NOUN
ap-4889	93	7	)	)	PUNCT
ap-4889	93	8	>	>	PUNCT
ap-4889	94	1	xmax	xmax	PROPN
ap-4889	94	2	then	then	ADV
ap-4889	94	3	xmax	xmax	PROPN
ap-4889	94	4	←	←	PROPN
ap-4889	94	5	x(n	x(n	PROPN
ap-4889	94	6	)	)	PUNCT
ap-4889	94	7	end	end	VERB
ap-4889	94	8	if	if	SCONJ
ap-4889	94	9	if	if	SCONJ
ap-4889	94	10	x(n	x(n	NOUN
ap-4889	94	11	)	)	PUNCT
ap-4889	94	12	<	<	X
ap-4889	94	13	xmin	xmin	PROPN
ap-4889	94	14	then	then	ADV
ap-4889	94	15	xmin	xmin	PROPN
ap-4889	94	16	←	←	PROPN
ap-4889	94	17	x(n	x(n	PROPN
ap-4889	94	18	)	)	PUNCT
ap-4889	94	19	end	end	VERB
ap-4889	94	20	if	if	SCONJ
ap-4889	94	21	if	if	SCONJ
ap-4889	94	22	y(n	y(n	PROPN
ap-4889	94	23	)	)	PUNCT
ap-4889	94	24	>	>	X
ap-4889	95	1	ymax	ymax	ADV
ap-4889	96	1	then	then	ADV
ap-4889	96	2	ymax	ymax	ADJ
ap-4889	96	3	←	←	PROPN
ap-4889	96	4	y(n	y(n	PROPN
ap-4889	96	5	)	)	PUNCT
ap-4889	96	6	end	end	VERB
ap-4889	96	7	if	if	SCONJ
ap-4889	96	8	if	if	SCONJ
ap-4889	96	9	y(n	y(n	PRON
ap-4889	96	10	)	)	PUNCT
ap-4889	96	11	<	<	X
ap-4889	96	12	ymin	ymin	NOUN
ap-4889	96	13	then	then	ADV
ap-4889	96	14	ymin	ymin	VERB
ap-4889	96	15	←	←	PROPN
ap-4889	96	16	y(n	y(n	PROPN
ap-4889	96	17	)	)	PUNCT
ap-4889	96	18	end	end	VERB
ap-4889	96	19	if	if	SCONJ
ap-4889	96	20	end	end	NOUN
ap-4889	96	21	while	while	SCONJ
ap-4889	96	22	x0←	x0←	PROPN
ap-4889	96	23	(	(	PUNCT
ap-4889	96	24	xmin	xmin	PROPN
ap-4889	96	25	+	+	CCONJ
ap-4889	96	26	xmax)/2	xmax)/2	X
ap-4889	96	27	y0←	y0←	NOUN
ap-4889	96	28	(	(	PUNCT
ap-4889	96	29	ymax	ymax	X
ap-4889	96	30	+	+	CCONJ
ap-4889	96	31	ymin)/2	ymin)/2	ADJ
ap-4889	96	32	{	{	PUNCT
ap-4889	96	33	delta	delta	NOUN
ap-4889	96	34	scaling	scale	VERB
ap-4889	96	35	factor	factor	NOUN
ap-4889	96	36	calculation	calculation	NOUN
ap-4889	96	37	}	}	PUNCT
ap-4889	96	38	deltay	deltay	NOUN
ap-4889	96	39	←	←	PROPN
ap-4889	96	40	(	(	PUNCT
ap-4889	96	41	ymax	ymax	ADV
ap-4889	96	42	−	−	NOUN
ap-4889	96	43	ymin	ymin	NOUN
ap-4889	96	44	)	)	PUNCT
ap-4889	96	45	deltax	deltax	PROPN
ap-4889	96	46	←	←	PROPN
ap-4889	96	47	(	(	PUNCT
ap-4889	96	48	xmax	xmax	PROPN
ap-4889	96	49	−	−	PROPN
ap-4889	96	50	xmin	xmin	PROPN
ap-4889	96	51	)	)	PUNCT
ap-4889	96	52	if	if	SCONJ
ap-4889	96	53	deltax	deltax	NOUN
ap-4889	96	54	<	<	X
ap-4889	96	55	deltay	deltay	NOUN
ap-4889	96	56	then	then	ADV
ap-4889	96	57	delta	delta	PROPN
ap-4889	96	58	←	←	PROPN
ap-4889	96	59	deltay	deltay	VERB
ap-4889	96	60	else	else	PROPN
ap-4889	96	61	delta	delta	PROPN
ap-4889	96	62	←	←	PROPN
ap-4889	96	63	deltax	deltax	PROPN
ap-4889	96	64	end	end	NOUN
ap-4889	96	65	if	if	SCONJ
ap-4889	96	66	{	{	PUNCT
ap-4889	96	67	calculation	calculation	NOUN
ap-4889	96	68	of	of	ADP
ap-4889	96	69	the	the	DET
ap-4889	96	70	new	new	ADJ
ap-4889	96	71	coordinates	coordinate	NOUN
ap-4889	96	72	x[n][1	x[n][1	X
ap-4889	96	73	]	]	PUNCT
ap-4889	96	74	and	and	CCONJ
ap-4889	96	75	x[n][2	x[n][2	PRON
ap-4889	96	76	]	]	X
ap-4889	96	77	:	:	PUNCT
ap-4889	96	78	x[n][1	x[n][1	NUM
ap-4889	96	79	]	]	X
ap-4889	96	80	the	the	DET
ap-4889	96	81	x	x	PROPN
ap-4889	96	82	coordinates	coordinate	NOUN
ap-4889	96	83	x[n][2	x[n][2	PRON
ap-4889	96	84	]	]	X
ap-4889	96	85	the	the	DET
ap-4889	96	86	y	y	PROPN
ap-4889	96	87	coordiantes	coordiante	VERB
ap-4889	96	88	.	.	PUNCT
ap-4889	97	1	scanning	scan	VERB
ap-4889	97	2	of	of	ADP
ap-4889	97	3	(	(	PUNCT
ap-4889	97	4	x	x	X
ap-4889	97	5	and	and	CCONJ
ap-4889	97	6	y	y	PROPN
ap-4889	97	7	)	)	PUNCT
ap-4889	97	8	points	point	NOUN
ap-4889	97	9	}	}	PUNCT
ap-4889	97	10	x[n][1]←	x[n][1]←	PROPN
ap-4889	98	1	(	(	PUNCT
ap-4889	98	2	x[n]−	x[n]−	PROPN
ap-4889	98	3	x0)/delta	x0)/delta	PROPN
ap-4889	98	4	x[n][2]←	x[n][2]←	PROPN
ap-4889	98	5	(	(	PUNCT
ap-4889	98	6	y	y	PROPN
ap-4889	99	1	[	[	X
ap-4889	99	2	n]−	n]−	ADJ
ap-4889	99	3	y0)/delta	y0)/delta	NOUN
ap-4889	99	4	x[n][7]←	x[n][7]←	PROPN
ap-4889	99	5	penupdown[n	penupdown[n	PROPN
ap-4889	99	6	]	]	PUNCT
ap-4889	99	7	{	{	PUNCT
ap-4889	99	8	calculation	calculation	NOUN
ap-4889	99	9	of	of	ADP
ap-4889	99	10	the	the	DET
ap-4889	99	11	direction	direction	NOUN
ap-4889	99	12	x[n][3	x[n][3	X
ap-4889	99	13	]	]	PUNCT
ap-4889	99	14	and	and	CCONJ
ap-4889	99	15	x[n][4	x[n][4	NUM
ap-4889	99	16	]	]	NOUN
ap-4889	99	17	:	:	PUNCT
ap-4889	99	18	cosine	cosine	NOUN
ap-4889	99	19	directions	direction	NOUN
ap-4889	99	20	scanning	scan	VERB
ap-4889	99	21	points	point	NOUN
ap-4889	99	22	calculation	calculation	NOUN
ap-4889	99	23	of	of	ADP
ap-4889	99	24	the	the	DET
ap-4889	99	25	length	length	NOUN
ap-4889	99	26	of	of	ADP
ap-4889	99	27	the	the	DET
ap-4889	99	28	ds	ds	PROPN
ap-4889	99	29	string	string	NOUN
ap-4889	99	30	}	}	PUNCT
ap-4889	99	31	dx	dx	PROPN
ap-4889	99	32	←	←	PROPN
ap-4889	99	33	x[i+	x[i+	PROPN
ap-4889	99	34	1	1	NUM
ap-4889	99	35	]	]	PUNCT
ap-4889	99	36	∗x[i−	∗x[i−	PROPN
ap-4889	99	37	1	1	NUM
ap-4889	99	38	]	]	X
ap-4889	99	39	dy	dy	X
ap-4889	99	40	←	←	PROPN
ap-4889	99	41	y	y	PROPN
ap-4889	100	1	[	[	X
ap-4889	100	2	i+	i+	PROPN
ap-4889	100	3	1	1	NUM
ap-4889	100	4	]	]	PUNCT
ap-4889	100	5	∗	∗	NOUN
ap-4889	100	6	y	y	PROPN
ap-4889	101	1	[	[	X
ap-4889	101	2	i−	i−	PROPN
ap-4889	101	3	1	1	NUM
ap-4889	101	4	]	]	X
ap-4889	101	5	ds	ds	PROPN
ap-4889	101	6	←	←	PROPN
ap-4889	101	7	sqrt(dx	sqrt(dx	PROPN
ap-4889	101	8	∗	∗	PROPN
ap-4889	101	9	dx	dx	PROPN
ap-4889	102	1	+	+	CCONJ
ap-4889	102	2	dy	dy	X
ap-4889	102	3	∗	∗	NOUN
ap-4889	102	4	dy	dy	NOUN
ap-4889	102	5	)	)	PUNCT
ap-4889	102	6	if	if	SCONJ
ap-4889	102	7	ds	ds	ADJ
ap-4889	102	8	=	=	NOUN
ap-4889	102	9	0	0	PUNCT
ap-4889	103	1	then	then	ADV
ap-4889	103	2	x[i][3]←	x[i][3]←	ADV
ap-4889	103	3	0	0	PUNCT
ap-4889	104	1	x[i][4]←	x[i][4]←	PROPN
ap-4889	104	2	0	0	NUM
ap-4889	104	3	else	else	ADV
ap-4889	105	1	x[i][3]←	x[i][3]←	ADP
ap-4889	105	2	arcx	arcx	PROPN
ap-4889	105	3	/	/	SYM
ap-4889	105	4	ds	ds	ADJ
ap-4889	105	5	x[i][4]←	x[i][4]←	PROPN
ap-4889	105	6	arcy	arcy	PROPN
ap-4889	105	7	/	/	SYM
ap-4889	105	8	ds	ds	ADJ
ap-4889	105	9	end	end	NOUN
ap-4889	105	10	if	if	SCONJ
ap-4889	105	11	{	{	PUNCT
ap-4889	105	12	special	special	ADJ
ap-4889	105	13	points	point	NOUN
ap-4889	105	14	:	:	PUNCT
ap-4889	105	15	initial	initial	ADJ
ap-4889	105	16	and	and	CCONJ
ap-4889	105	17	last	last	ADJ
ap-4889	105	18	point	point	NOUN
ap-4889	105	19	}	}	PUNCT
ap-4889	105	20	initial	initial	ADJ
ap-4889	105	21	point	point	NOUN
ap-4889	105	22	←	←	PROPN
ap-4889	105	23	next	next	ADJ
ap-4889	105	24	point	point	NOUN
ap-4889	105	25	last	last	ADJ
ap-4889	105	26	point	point	NOUN
ap-4889	105	27	←	←	PROPN
ap-4889	105	28	previous	previous	ADJ
ap-4889	105	29	point	point	NOUN
ap-4889	105	30	{	{	PUNCT
ap-4889	105	31	curvature	curvature	NOUN
ap-4889	105	32	calculation	calculation	NOUN
ap-4889	105	33	x[n][5	x[n][5	NUM
ap-4889	105	34	]	]	PUNCT
ap-4889	105	35	and	and	CCONJ
ap-4889	105	36	x[n][6	x[n][6	NUM
ap-4889	105	37	]	]	NOUN
ap-4889	105	38	:	:	PUNCT
ap-4889	105	39	cosine	cosine	NOUN
ap-4889	105	40	directions	direction	NOUN
ap-4889	105	41	scanning	scan	VERB
ap-4889	105	42	points	point	NOUN
ap-4889	105	43	}	}	PUNCT
ap-4889	105	44	x[i][5]←	x[i][5]←	PROPN
ap-4889	105	45	x[i+1][3	x[i+1][3	X
ap-4889	105	46	]	]	PUNCT
ap-4889	105	47	∗	∗	X
ap-4889	105	48	x[i−1][3	x[i−1][3	X
ap-4889	105	49	]	]	X
ap-4889	106	1	+	+	CCONJ
ap-4889	106	2	x[i+1][4	x[i+1][4	PROPN
ap-4889	106	3	]	]	X
ap-4889	106	4	∗	∗	NOUN
ap-4889	106	5	x[i−1][4	x[i−1][4	NUM
ap-4889	106	6	]	]	X
ap-4889	106	7	x[i][6]←	x[i][6]←	PROPN
ap-4889	107	1	x[i+1][3	x[i+1][3	X
ap-4889	107	2	]	]	PUNCT
ap-4889	107	3	∗	∗	NOUN
ap-4889	107	4	x[i−1][4	x[i−1][4	NUM
ap-4889	107	5	]	]	PUNCT
ap-4889	108	1	+	+	CCONJ
ap-4889	108	2	x[i+1][4	x[i+1][4	ADJ
ap-4889	108	3	]	]	X
ap-4889	108	4	∗	∗	X
ap-4889	108	5	x[i−1][3	x[i−1][3	X
ap-4889	108	6	]	]	X
ap-4889	108	7	{	{	PUNCT
ap-4889	108	8	special	special	ADJ
ap-4889	108	9	points	point	NOUN
ap-4889	108	10	:	:	PUNCT
ap-4889	108	11	initial	initial	ADJ
ap-4889	108	12	and	and	CCONJ
ap-4889	108	13	last	last	ADJ
ap-4889	108	14	point	point	NOUN
ap-4889	108	15	}	}	PUNCT
ap-4889	108	16	initialpoint←	initialpoint←	NOUN
ap-4889	108	17	nextpoint	nextpoint	NOUN
ap-4889	108	18	lastpoint←	lastpoint←	ADJ
ap-4889	108	19	previouspoint	previouspoint	NOUN
ap-4889	108	20	figure	figure	NOUN
ap-4889	108	21	5	5	NUM
ap-4889	108	22	.	.	PUNCT
ap-4889	108	23	mlp	mlp	NOUN
ap-4889	108	24	type	type	NOUN
ap-4889	108	25	connexion	connexion	NOUN
ap-4889	108	26	-++	-++	PUNCT
ap-4889	108	27	complete	complete	ADJ
ap-4889	108	28	field	field	NOUN
ap-4889	108	29	of	of	ADP
ap-4889	108	30	view	view	NOUN
ap-4889	108	31	.	.	PUNCT
ap-4889	109	1	•	•	NUM
ap-4889	109	2	the	the	DET
ap-4889	109	3	cosine	cosine	NOUN
ap-4889	109	4	directions	direction	NOUN
ap-4889	109	5	of	of	ADP
ap-4889	109	6	the	the	DET
ap-4889	109	7	movement	movement	NOUN
ap-4889	109	8	direction	direction	NOUN
ap-4889	109	9	(	(	PUNCT
ap-4889	109	10	cos	cos	ADP
ap-4889	109	11	θ	θ	PROPN
ap-4889	109	12	et	et	NOUN
ap-4889	109	13	sin	sin	PROPN
ap-4889	109	14	θ	θ	PROPN
ap-4889	109	15	)	)	PUNCT
ap-4889	109	16	•	•	ADP
ap-4889	109	17	the	the	DET
ap-4889	109	18	cosine	cosine	NOUN
ap-4889	109	19	directions	direction	NOUN
ap-4889	109	20	of	of	ADP
ap-4889	109	21	the	the	DET
ap-4889	109	22	trajectory	trajectory	NOUN
ap-4889	109	23	curvature	curvature	NOUN
ap-4889	109	24	(	(	PUNCT
ap-4889	109	25	cos	cos	PROPN
ap-4889	109	26	φ	φ	PROPN
ap-4889	109	27	et	et	PROPN
ap-4889	109	28	sin	sin	PROPN
ap-4889	109	29	φ	φ	PROPN
ap-4889	109	30	)	)	PUNCT
ap-4889	109	31	•	•	ADP
ap-4889	109	32	the	the	DET
ap-4889	109	33	pen	pen	NOUN
ap-4889	109	34	up	up	ADP
ap-4889	109	35	/	/	SYM
ap-4889	109	36	down	down	ADV
ap-4889	109	37	.	.	PUNCT
ap-4889	110	1	this	this	DET
ap-4889	110	2	step	step	NOUN
ap-4889	110	3	is	be	AUX
ap-4889	110	4	summarized	summarize	VERB
ap-4889	110	5	in	in	ADP
ap-4889	110	6	algorithm	algorithm	NOUN
ap-4889	110	7	1	1	NUM
ap-4889	110	8	.	.	PUNCT
ap-4889	111	1	once	once	SCONJ
ap-4889	111	2	the	the	DET
ap-4889	111	3	features	feature	NOUN
ap-4889	111	4	extraction	extraction	NOUN
ap-4889	111	5	is	be	AUX
ap-4889	111	6	realized	realize	VERB
ap-4889	111	7	,	,	PUNCT
ap-4889	111	8	we	we	PRON
ap-4889	111	9	can	can	AUX
ap-4889	111	10	proceed	proceed	VERB
ap-4889	111	11	to	to	ADP
ap-4889	111	12	the	the	DET
ap-4889	111	13	classification	classification	NOUN
ap-4889	111	14	.	.	PUNCT
ap-4889	112	1	3	3	X
ap-4889	112	2	.	.	X
ap-4889	112	3	neural	neural	ADJ
ap-4889	112	4	network	network	NOUN
ap-4889	112	5	classification	classification	NOUN
ap-4889	112	6	we	we	PRON
ap-4889	112	7	have	have	AUX
ap-4889	112	8	used	use	VERB
ap-4889	112	9	a	a	DET
ap-4889	112	10	set	set	NOUN
ap-4889	112	11	of	of	ADP
ap-4889	112	12	neuronal	neuronal	ADJ
ap-4889	112	13	classifiers	classifier	NOUN
ap-4889	112	14	,	,	PUNCT
ap-4889	112	15	which	which	PRON
ap-4889	112	16	gave	give	VERB
ap-4889	112	17	satisfactory	satisfactory	ADJ
ap-4889	112	18	results	result	NOUN
ap-4889	112	19	,	,	PUNCT
ap-4889	112	20	the	the	DET
ap-4889	112	21	proposed	propose	VERB
ap-4889	112	22	neural	neural	ADJ
ap-4889	112	23	architectures	architecture	NOUN
ap-4889	112	24	are	be	AUX
ap-4889	112	25	as	as	SCONJ
ap-4889	112	26	follows	follow	VERB
ap-4889	112	27	.	.	PUNCT
ap-4889	113	1	3.1	3.1	NUM
ap-4889	113	2	.	.	PUNCT
ap-4889	114	1	multi	multi	ADJ
ap-4889	114	2	-	-	ADJ
ap-4889	114	3	layer	layer	ADJ
ap-4889	114	4	perceptron	perceptron	NOUN
ap-4889	114	5	(	(	PUNCT
ap-4889	114	6	mlp	mlp	PROPN
ap-4889	114	7	)	)	PUNCT
ap-4889	114	8	we	we	PRON
ap-4889	114	9	have	have	AUX
ap-4889	114	10	used	use	VERB
ap-4889	114	11	the	the	DET
ap-4889	114	12	mlp	mlp	NOUN
ap-4889	114	13	with	with	ADP
ap-4889	114	14	error	error	NOUN
ap-4889	114	15	back	back	NOUN
ap-4889	114	16	-	-	PUNCT
ap-4889	114	17	propagation	propagation	NOUN
ap-4889	114	18	that	that	PRON
ap-4889	114	19	has	have	VERB
ap-4889	114	20	one	one	NUM
ap-4889	114	21	hidden	hide	VERB
ap-4889	114	22	layer	layer	NOUN
ap-4889	114	23	only	only	ADV
ap-4889	114	24	[	[	X
ap-4889	114	25	11	11	NUM
ap-4889	114	26	,	,	PUNCT
ap-4889	114	27	12	12	NUM
ap-4889	114	28	]	]	PUNCT
ap-4889	114	29	.	.	PUNCT
ap-4889	115	1	the	the	DET
ap-4889	115	2	seven	seven	NUM
ap-4889	115	3	features	feature	NOUN
ap-4889	115	4	extracted	extract	VERB
ap-4889	115	5	from	from	ADP
ap-4889	115	6	the	the	DET
ap-4889	115	7	arabic	arabic	ADJ
ap-4889	115	8	characters	character	NOUN
ap-4889	115	9	(	(	PUNCT
ap-4889	115	10	characters	character	NOUN
ap-4889	115	11	in	in	ADP
ap-4889	115	12	their	their	PRON
ap-4889	115	13	isolated	isolated	ADJ
ap-4889	115	14	forms	form	NOUN
ap-4889	115	15	,	,	PUNCT
ap-4889	115	16	at	at	ADP
ap-4889	115	17	the	the	DET
ap-4889	115	18	beginning	beginning	NOUN
ap-4889	115	19	,	,	PUNCT
ap-4889	115	20	middle	middle	ADJ
ap-4889	115	21	and	and	CCONJ
ap-4889	115	22	end	end	NOUN
ap-4889	115	23	)	)	PUNCT
ap-4889	115	24	,	,	PUNCT
ap-4889	115	25	generated	generate	VERB
ap-4889	115	26	by	by	ADP
ap-4889	115	27	the	the	DET
ap-4889	115	28	previous	previous	ADJ
ap-4889	115	29	module	module	NOUN
ap-4889	115	30	,	,	PUNCT
ap-4889	115	31	constitutes	constitute	VERB
ap-4889	115	32	the	the	DET
ap-4889	115	33	inputs	input	NOUN
ap-4889	115	34	of	of	ADP
ap-4889	115	35	the	the	DET
ap-4889	115	36	network	network	NOUN
ap-4889	115	37	.	.	PUNCT
ap-4889	116	1	the	the	DET
ap-4889	116	2	hidden	hide	VERB
ap-4889	116	3	layer	layer	NOUN
ap-4889	116	4	includes	include	VERB
ap-4889	116	5	80	80	NUM
ap-4889	116	6	neurons	neuron	NOUN
ap-4889	116	7	.	.	PUNCT
ap-4889	117	1	the	the	DET
ap-4889	117	2	classes	class	NOUN
ap-4889	117	3	to	to	PART
ap-4889	117	4	be	be	AUX
ap-4889	117	5	discriminated	discriminate	VERB
ap-4889	117	6	are	be	AUX
ap-4889	117	7	28	28	NUM
ap-4889	117	8	characters	character	NOUN
ap-4889	117	9	of	of	ADP
ap-4889	117	10	the	the	DET
ap-4889	117	11	arabic	arabic	ADJ
ap-4889	117	12	alphabet	alphabet	NOUN
ap-4889	117	13	(	(	PUNCT
ap-4889	117	14	or	or	CCONJ
ap-4889	117	15	48	48	NUM
ap-4889	117	16	words	word	NOUN
ap-4889	117	17	)	)	PUNCT
ap-4889	117	18	,	,	PUNCT
ap-4889	117	19	hence	hence	ADV
ap-4889	117	20	the	the	DET
ap-4889	117	21	choice	choice	NOUN
ap-4889	117	22	of	of	ADP
ap-4889	117	23	28	28	NUM
ap-4889	117	24	(	(	PUNCT
ap-4889	117	25	48	48	NUM
ap-4889	117	26	)	)	PUNCT
ap-4889	117	27	neurons	neuron	NOUN
ap-4889	117	28	for	for	ADP
ap-4889	117	29	the	the	DET
ap-4889	117	30	output	output	NOUN
ap-4889	117	31	layer	layer	NOUN
ap-4889	117	32	.	.	PUNCT
ap-4889	118	1	the	the	DET
ap-4889	118	2	unipolar	unipolar	ADJ
ap-4889	118	3	sigmoid	sigmoid	NOUN
ap-4889	118	4	was	be	AUX
ap-4889	118	5	used	use	VERB
ap-4889	118	6	as	as	ADP
ap-4889	118	7	a	a	DET
ap-4889	118	8	neuron	neuron	NOUN
ap-4889	118	9	activation	activation	NOUN
ap-4889	118	10	function	function	NOUN
ap-4889	118	11	.	.	PUNCT
ap-4889	119	1	figure	figure	NOUN
ap-4889	119	2	5	5	NUM
ap-4889	119	3	shows	show	VERB
ap-4889	119	4	how	how	SCONJ
ap-4889	119	5	the	the	DET
ap-4889	119	6	mlp	mlp	NOUN
ap-4889	119	7	processes	process	VERB
ap-4889	119	8	the	the	DET
ap-4889	119	9	letter	letter	NOUN
ap-4889	119	10	mim	mim	PROPN
ap-4889	119	11	.	.	PUNCT
ap-4889	120	1	however	however	ADV
ap-4889	120	2	,	,	PUNCT
ap-4889	120	3	the	the	DET
ap-4889	120	4	training	training	NOUN
ap-4889	120	5	of	of	ADP
ap-4889	120	6	the	the	DET
ap-4889	120	7	lowest	low	ADJ
ap-4889	120	8	layer	layer	NOUN
ap-4889	120	9	(	(	PUNCT
ap-4889	120	10	the	the	DET
ap-4889	120	11	closest	close	ADJ
ap-4889	120	12	to	to	ADP
ap-4889	120	13	the	the	DET
ap-4889	120	14	output	output	NOUN
ap-4889	120	15	layer	layer	NOUN
ap-4889	120	16	)	)	PUNCT
ap-4889	120	17	is	be	AUX
ap-4889	120	18	less	less	ADV
ap-4889	120	19	efficient	efficient	ADJ
ap-4889	120	20	in	in	ADP
ap-4889	120	21	a	a	DET
ap-4889	120	22	deep	deep	ADJ
ap-4889	120	23	mlp	mlp	NOUN
ap-4889	121	1	[	[	X
ap-4889	121	2	13	13	NUM
ap-4889	121	3	,	,	PUNCT
ap-4889	121	4	14	14	NUM
ap-4889	121	5	]	]	PUNCT
ap-4889	121	6	.	.	PUNCT
ap-4889	122	1	it	it	PRON
ap-4889	122	2	seems	seem	VERB
ap-4889	122	3	that	that	SCONJ
ap-4889	122	4	the	the	DET
ap-4889	122	5	update	update	NOUN
ap-4889	122	6	of	of	ADP
ap-4889	122	7	the	the	DET
ap-4889	122	8	parameters	parameter	NOUN
ap-4889	122	9	is	be	AUX
ap-4889	122	10	less	less	ADV
ap-4889	122	11	and	and	CCONJ
ap-4889	122	12	less	less	ADV
ap-4889	122	13	relevant	relevant	ADJ
ap-4889	122	14	as	as	SCONJ
ap-4889	122	15	we	we	PRON
ap-4889	122	16	propagate	propagate	VERB
ap-4889	122	17	in	in	ADP
ap-4889	122	18	the	the	DET
ap-4889	122	19	lowest	low	ADJ
ap-4889	122	20	layers	layer	NOUN
ap-4889	122	21	.	.	PUNCT
ap-4889	123	1	because	because	SCONJ
ap-4889	123	2	of	of	ADP
ap-4889	123	3	that	that	PRON
ap-4889	123	4	,	,	PUNCT
ap-4889	123	5	we	we	PRON
ap-4889	123	6	use	use	VERB
ap-4889	123	7	one	one	NUM
ap-4889	123	8	hidden	hide	VERB
ap-4889	123	9	layer	layer	NOUN
ap-4889	123	10	for	for	ADP
ap-4889	123	11	our	our	PRON
ap-4889	123	12	mlp	mlp	NOUN
ap-4889	123	13	.	.	PROPN
ap-4889	124	1	3.2	3.2	NUM
ap-4889	124	2	.	.	PUNCT
ap-4889	124	3	time	time	NOUN
ap-4889	124	4	delay	delay	NOUN
ap-4889	124	5	neural	neural	ADJ
ap-4889	124	6	network	network	NOUN
ap-4889	124	7	(	(	PUNCT
ap-4889	124	8	tdnn	tdnn	PROPN
ap-4889	124	9	)	)	PUNCT
ap-4889	124	10	the	the	DET
ap-4889	124	11	used	use	VERB
ap-4889	124	12	tdnn	tdnn	NOUN
ap-4889	124	13	consists	consist	VERB
ap-4889	124	14	of	of	ADP
ap-4889	124	15	three	three	NUM
ap-4889	124	16	layers	layer	NOUN
ap-4889	124	17	:	:	PUNCT
ap-4889	124	18	input	input	NOUN
ap-4889	124	19	,	,	PUNCT
ap-4889	124	20	hidden	hidden	ADJ
ap-4889	124	21	and	and	CCONJ
ap-4889	124	22	output	output	NOUN
ap-4889	124	23	.	.	PUNCT
ap-4889	125	1	furthermore	furthermore	ADV
ap-4889	125	2	,	,	PUNCT
ap-4889	125	3	every	every	DET
ap-4889	125	4	layer	layer	NOUN
ap-4889	125	5	possesses	possess	VERB
ap-4889	125	6	two	two	NUM
ap-4889	125	7	directions	direction	NOUN
ap-4889	125	8	:	:	PUNCT
ap-4889	125	9	a	a	DET
ap-4889	125	10	direction	direction	NOUN
ap-4889	125	11	of	of	ADP
ap-4889	125	12	features	feature	NOUN
ap-4889	125	13	and	and	CCONJ
ap-4889	125	14	a	a	DET
ap-4889	125	15	temporal	temporal	ADJ
ap-4889	125	16	300	300	NUM
ap-4889	125	17	vol	vol	NOUN
ap-4889	125	18	.	.	PUNCT
ap-4889	126	1	58	58	NUM
ap-4889	127	1	no	no	INTJ
ap-4889	127	2	.	.	PUNCT
ap-4889	128	1	5/2018	5/2018	NUM
ap-4889	128	2	new	new	ADJ
ap-4889	128	3	approach	approach	NOUN
ap-4889	128	4	for	for	ADP
ap-4889	128	5	online	online	ADJ
ap-4889	128	6	arabic	arabic	ADJ
ap-4889	128	7	manuscript	manuscript	PROPN
ap-4889	128	8	recongnition	recongnition	NOUN
ap-4889	128	9	by	by	ADP
ap-4889	128	10	deep	deep	ADJ
ap-4889	128	11	belief	belief	NOUN
ap-4889	128	12	network	network	NOUN
ap-4889	128	13	figure	figure	NOUN
ap-4889	128	14	6	6	NUM
ap-4889	128	15	.	.	PUNCT
ap-4889	129	1	convolution	convolution	NOUN
ap-4889	129	2	network	network	NOUN
ap-4889	129	3	connexion	connexion	NOUN
ap-4889	129	4	—	—	PUNCT
ap-4889	129	5	restricted	restrict	VERB
ap-4889	129	6	field	field	NOUN
ap-4889	129	7	of	of	ADP
ap-4889	129	8	view	view	NOUN
ap-4889	129	9	.	.	PUNCT
ap-4889	130	1	direction	direction	NOUN
ap-4889	130	2	.	.	PUNCT
ap-4889	131	1	the	the	DET
ap-4889	131	2	tdnn	tdnn	NOUN
ap-4889	131	3	is	be	AUX
ap-4889	131	4	distinguished	distinguish	VERB
ap-4889	131	5	from	from	ADP
ap-4889	131	6	a	a	DET
ap-4889	131	7	multilayer	multilayer	ADJ
ap-4889	131	8	perceptron	perceptron	NOUN
ap-4889	131	9	by	by	ADP
ap-4889	131	10	the	the	DET
ap-4889	131	11	fact	fact	NOUN
ap-4889	131	12	that	that	SCONJ
ap-4889	131	13	it	it	PRON
ap-4889	131	14	takes	take	VERB
ap-4889	131	15	into	into	ADP
ap-4889	131	16	account	account	NOUN
ap-4889	131	17	a	a	DET
ap-4889	131	18	time	time	NOUN
ap-4889	131	19	notion	notion	NOUN
ap-4889	131	20	.	.	PUNCT
ap-4889	132	1	consequently	consequently	ADV
ap-4889	132	2	,	,	PUNCT
ap-4889	132	3	it	it	PRON
ap-4889	132	4	processes	process	VERB
ap-4889	132	5	all	all	DET
ap-4889	132	6	the	the	DET
ap-4889	132	7	neurons	neuron	NOUN
ap-4889	132	8	of	of	ADP
ap-4889	132	9	the	the	DET
ap-4889	132	10	input	input	NOUN
ap-4889	132	11	layer	layer	NOUN
ap-4889	132	12	at	at	ADP
ap-4889	132	13	the	the	DET
ap-4889	132	14	same	same	ADJ
ap-4889	132	15	time	time	NOUN
ap-4889	132	16	(	(	PUNCT
ap-4889	132	17	see	see	VERB
ap-4889	132	18	figure	figure	NOUN
ap-4889	132	19	6	6	NUM
ap-4889	132	20	)	)	PUNCT
ap-4889	132	21	,	,	PUNCT
ap-4889	132	22	before	before	ADP
ap-4889	132	23	making	make	VERB
ap-4889	132	24	a	a	DET
ap-4889	132	25	temporal	temporal	ADJ
ap-4889	132	26	scanning	scanning	NOUN
ap-4889	132	27	.	.	PUNCT
ap-4889	133	1	it	it	PRON
ap-4889	133	2	is	be	AUX
ap-4889	133	3	the	the	DET
ap-4889	133	4	notion	notion	NOUN
ap-4889	133	5	of	of	ADP
ap-4889	133	6	the	the	DET
ap-4889	133	7	temporal	temporal	ADJ
ap-4889	133	8	window	window	NOUN
ap-4889	133	9	.	.	PUNCT
ap-4889	134	1	the	the	DET
ap-4889	134	2	tdnn	tdnn	NOUN
ap-4889	134	3	has	have	VERB
ap-4889	134	4	three	three	NUM
ap-4889	134	5	basic	basic	ADJ
ap-4889	134	6	principles	principle	NOUN
ap-4889	134	7	:	:	PUNCT
ap-4889	134	8	temporal	temporal	ADJ
ap-4889	134	9	window	window	NOUN
ap-4889	134	10	,	,	PUNCT
ap-4889	134	11	shared	share	VERB
ap-4889	134	12	weights	weight	NOUN
ap-4889	134	13	,	,	PUNCT
ap-4889	134	14	and	and	CCONJ
ap-4889	134	15	delays	delay	NOUN
ap-4889	134	16	:	:	PUNCT
ap-4889	134	17	•	•	ADP
ap-4889	134	18	the	the	DET
ap-4889	134	19	temporal	temporal	ADJ
ap-4889	134	20	window	window	NOUN
ap-4889	134	21	:	:	PUNCT
ap-4889	134	22	the	the	DET
ap-4889	134	23	basic	basic	ADJ
ap-4889	134	24	idea	idea	NOUN
ap-4889	134	25	states	state	VERB
ap-4889	134	26	that	that	SCONJ
ap-4889	134	27	every	every	DET
ap-4889	134	28	neuron	neuron	NOUN
ap-4889	134	29	of	of	ADP
ap-4889	134	30	the	the	DET
ap-4889	134	31	l+	l+	NUM
ap-4889	134	32	1	1	NUM
ap-4889	134	33	layer	layer	NOUN
ap-4889	134	34	is	be	AUX
ap-4889	134	35	only	only	ADV
ap-4889	134	36	connected	connect	VERB
ap-4889	134	37	to	to	ADP
ap-4889	134	38	one	one	NUM
ap-4889	134	39	subset	subset	NOUN
ap-4889	134	40	of	of	ADP
ap-4889	134	41	neurons	neuron	NOUN
ap-4889	134	42	from	from	ADP
ap-4889	134	43	the	the	DET
ap-4889	134	44	l	l	NOUN
ap-4889	134	45	layer	layer	NOUN
ap-4889	134	46	.	.	PUNCT
ap-4889	135	1	after	after	ADP
ap-4889	135	2	an	an	DET
ap-4889	135	3	experiment	experiment	NOUN
ap-4889	135	4	study	study	NOUN
ap-4889	135	5	,	,	PUNCT
ap-4889	135	6	we	we	PRON
ap-4889	135	7	have	have	AUX
ap-4889	135	8	fixed	fix	VERB
ap-4889	135	9	the	the	DET
ap-4889	135	10	size	size	NOUN
ap-4889	135	11	of	of	ADP
ap-4889	135	12	this	this	DET
ap-4889	135	13	window	window	NOUN
ap-4889	135	14	to	to	ADP
ap-4889	135	15	seven	seven	NUM
ap-4889	135	16	neurons	neuron	NOUN
ap-4889	135	17	.	.	PUNCT
ap-4889	136	1	•	•	NUM
ap-4889	136	2	the	the	DET
ap-4889	136	3	shared	share	VERB
ap-4889	136	4	weights	weight	NOUN
ap-4889	136	5	:	:	PUNCT
ap-4889	136	6	this	this	DET
ap-4889	136	7	notion	notion	NOUN
ap-4889	136	8	allows	allow	VERB
ap-4889	136	9	reducing	reduce	VERB
ap-4889	136	10	the	the	DET
ap-4889	136	11	number	number	NOUN
ap-4889	136	12	of	of	ADP
ap-4889	136	13	network	network	NOUN
ap-4889	136	14	parameters	parameter	NOUN
ap-4889	136	15	,	,	PUNCT
ap-4889	136	16	which	which	PRON
ap-4889	136	17	positively	positively	ADV
ap-4889	136	18	influences	influence	VERB
ap-4889	136	19	the	the	DET
ap-4889	136	20	network	network	NOUN
ap-4889	136	21	generalization	generalization	NOUN
ap-4889	136	22	capacity	capacity	NOUN
ap-4889	136	23	.	.	PUNCT
ap-4889	137	1	a	a	DET
ap-4889	137	2	window	window	NOUN
ap-4889	137	3	with	with	ADP
ap-4889	137	4	a	a	DET
ap-4889	137	5	given	give	VERB
ap-4889	137	6	characteristic	characteristic	NOUN
ap-4889	137	7	will	will	AUX
ap-4889	137	8	have	have	VERB
ap-4889	137	9	the	the	DET
ap-4889	137	10	same	same	ADJ
ap-4889	137	11	weights	weight	NOUN
ap-4889	137	12	according	accord	VERB
ap-4889	137	13	to	to	ADP
ap-4889	137	14	the	the	DET
ap-4889	137	15	temporal	temporal	ADJ
ap-4889	137	16	direction	direction	NOUN
ap-4889	137	17	.	.	PUNCT
ap-4889	138	1	it	it	PRON
ap-4889	138	2	also	also	ADV
ap-4889	138	3	allows	allow	VERB
ap-4889	138	4	progressively	progressively	ADV
ap-4889	138	5	extracting	extract	VERB
ap-4889	138	6	the	the	DET
ap-4889	138	7	differences	difference	NOUN
ap-4889	138	8	when	when	SCONJ
ap-4889	138	9	scanning	scan	VERB
ap-4889	138	10	the	the	DET
ap-4889	138	11	signal	signal	NOUN
ap-4889	138	12	.	.	PUNCT
ap-4889	139	1	•	•	NUM
ap-4889	139	2	the	the	DET
ap-4889	139	3	delays	delay	NOUN
ap-4889	139	4	:	:	PUNCT
ap-4889	139	5	in	in	ADP
ap-4889	139	6	addition	addition	NOUN
ap-4889	139	7	to	to	ADP
ap-4889	139	8	the	the	DET
ap-4889	139	9	previous	previous	ADJ
ap-4889	139	10	two	two	NUM
ap-4889	139	11	constraints	constraint	NOUN
ap-4889	139	12	,	,	PUNCT
ap-4889	139	13	we	we	PRON
ap-4889	139	14	introduce	introduce	VERB
ap-4889	139	15	delays	delay	NOUN
ap-4889	139	16	between	between	ADP
ap-4889	139	17	two	two	NUM
ap-4889	139	18	successive	successive	ADJ
ap-4889	139	19	windows	window	NOUN
ap-4889	139	20	for	for	ADP
ap-4889	139	21	a	a	DET
ap-4889	139	22	given	give	VERB
ap-4889	139	23	layer	layer	NOUN
ap-4889	139	24	.	.	PUNCT
ap-4889	140	1	the	the	DET
ap-4889	140	2	first	first	ADJ
ap-4889	140	3	delay	delay	NOUN
ap-4889	140	4	is	be	AUX
ap-4889	140	5	three	three	NUM
ap-4889	140	6	neurons	neuron	NOUN
ap-4889	140	7	and	and	CCONJ
ap-4889	140	8	the	the	DET
ap-4889	140	9	second	second	ADJ
ap-4889	140	10	one	one	NOUN
ap-4889	140	11	is	be	AUX
ap-4889	140	12	four	four	NUM
ap-4889	140	13	.	.	PUNCT
ap-4889	141	1	for	for	ADP
ap-4889	141	2	the	the	DET
ap-4889	141	3	shared	share	VERB
ap-4889	141	4	weights	weight	NOUN
ap-4889	141	5	constraint	constraint	NOUN
ap-4889	141	6	,	,	PUNCT
ap-4889	141	7	the	the	DET
ap-4889	141	8	same	same	ADJ
ap-4889	141	9	neuron	neuron	NOUN
ap-4889	141	10	is	be	AUX
ap-4889	141	11	duplicated	duplicate	VERB
ap-4889	141	12	in	in	ADP
ap-4889	141	13	the	the	DET
ap-4889	141	14	time	time	NOUN
ap-4889	141	15	direction	direction	NOUN
ap-4889	141	16	(	(	PUNCT
ap-4889	141	17	the	the	DET
ap-4889	141	18	same	same	ADJ
ap-4889	141	19	duplicated	duplicate	VERB
ap-4889	141	20	weight	weight	NOUN
ap-4889	141	21	matrix	matrix	NOUN
ap-4889	141	22	)	)	PUNCT
ap-4889	141	23	to	to	PART
ap-4889	141	24	detect	detect	VERB
ap-4889	141	25	the	the	DET
ap-4889	141	26	presence	presence	NOUN
ap-4889	141	27	or	or	CCONJ
ap-4889	141	28	the	the	DET
ap-4889	141	29	absence	absence	NOUN
ap-4889	141	30	of	of	ADP
ap-4889	141	31	the	the	DET
ap-4889	141	32	same	same	ADJ
ap-4889	141	33	feature	feature	NOUN
ap-4889	141	34	on	on	ADP
ap-4889	141	35	various	various	ADJ
ap-4889	141	36	points	point	NOUN
ap-4889	141	37	in	in	ADP
ap-4889	141	38	the	the	DET
ap-4889	141	39	signal	signal	NOUN
ap-4889	141	40	.	.	PUNCT
ap-4889	142	1	by	by	ADP
ap-4889	142	2	using	use	VERB
ap-4889	142	3	several	several	ADJ
ap-4889	142	4	neurons	neuron	NOUN
ap-4889	142	5	in	in	ADP
ap-4889	142	6	every	every	DET
ap-4889	142	7	temporal	temporal	ADJ
ap-4889	142	8	position	position	NOUN
ap-4889	142	9	,	,	PUNCT
ap-4889	142	10	the	the	DET
ap-4889	142	11	network	network	NOUN
ap-4889	142	12	of	of	ADP
ap-4889	142	13	neuron	neuron	NOUN
ap-4889	142	14	detects	detect	VERB
ap-4889	142	15	the	the	DET
ap-4889	142	16	different	different	ADJ
ap-4889	142	17	features	feature	NOUN
ap-4889	142	18	:	:	PUNCT
ap-4889	142	19	the	the	DET
ap-4889	142	20	outputs	output	NOUN
ap-4889	142	21	of	of	ADP
ap-4889	142	22	the	the	DET
ap-4889	142	23	different	different	ADJ
ap-4889	142	24	neurons	neuron	NOUN
ap-4889	142	25	of	of	ADP
ap-4889	142	26	one	one	NUM
ap-4889	142	27	layer	layer	NOUN
ap-4889	142	28	produces	produce	VERB
ap-4889	142	29	new	new	ADJ
ap-4889	142	30	features	feature	NOUN
ap-4889	142	31	vector	vector	NOUN
ap-4889	142	32	for	for	ADP
ap-4889	142	33	the	the	DET
ap-4889	142	34	next	next	ADJ
ap-4889	142	35	layer	layer	NOUN
ap-4889	142	36	and	and	CCONJ
ap-4889	142	37	so	so	ADV
ap-4889	142	38	on	on	ADV
ap-4889	142	39	.	.	PUNCT
ap-4889	143	1	thus	thus	ADV
ap-4889	143	2	,	,	PUNCT
ap-4889	143	3	the	the	DET
ap-4889	143	4	temporal	temporal	ADJ
ap-4889	143	5	component	component	NOUN
ap-4889	143	6	of	of	ADP
ap-4889	143	7	the	the	DET
ap-4889	143	8	original	original	ADJ
ap-4889	143	9	signal	signal	NOUN
ap-4889	143	10	is	be	AUX
ap-4889	143	11	progressively	progressively	ADV
ap-4889	143	12	eliminated	eliminate	VERB
ap-4889	143	13	and	and	CCONJ
ap-4889	143	14	transformed	transform	VERB
ap-4889	143	15	into	into	ADP
ap-4889	143	16	a	a	DET
ap-4889	143	17	feature	feature	NOUN
ap-4889	143	18	by	by	ADP
ap-4889	143	19	upper	upper	ADJ
ap-4889	143	20	layers	layer	NOUN
ap-4889	143	21	.	.	PUNCT
ap-4889	144	1	to	to	PART
ap-4889	144	2	compensate	compensate	VERB
ap-4889	144	3	this	this	DET
ap-4889	144	4	loss	loss	NOUN
ap-4889	144	5	of	of	ADP
ap-4889	144	6	information	information	NOUN
ap-4889	144	7	,	,	PUNCT
ap-4889	144	8	we	we	PRON
ap-4889	144	9	increase	increase	VERB
ap-4889	144	10	the	the	DET
ap-4889	144	11	number	number	NOUN
ap-4889	144	12	of	of	ADP
ap-4889	144	13	neurons	neuron	NOUN
ap-4889	144	14	in	in	ADP
ap-4889	144	15	the	the	DET
ap-4889	144	16	feature	feature	NOUN
ap-4889	144	17	direction	direction	NOUN
ap-4889	144	18	.	.	PUNCT
ap-4889	145	1	input	input	NOUN
ap-4889	145	2	layer	layer	NOUN
ap-4889	145	3	centers	center	NOUN
ap-4889	145	4	output	output	NOUN
ap-4889	145	5	layer	layer	NOUN
ap-4889	145	6	figure	figure	NOUN
ap-4889	145	7	7	7	NUM
ap-4889	145	8	.	.	PUNCT
ap-4889	146	1	the	the	DET
ap-4889	146	2	rbf	rbf	PROPN
ap-4889	146	3	network	network	NOUN
ap-4889	146	4	architecture	architecture	NOUN
ap-4889	146	5	.	.	PUNCT
ap-4889	147	1	3.3	3.3	NUM
ap-4889	147	2	.	.	PUNCT
ap-4889	148	1	radial	radial	ADJ
ap-4889	148	2	basis	basis	NOUN
ap-4889	148	3	function	function	NOUN
ap-4889	148	4	network	network	NOUN
ap-4889	148	5	(	(	PUNCT
ap-4889	148	6	rbf	rbf	PROPN
ap-4889	148	7	)	)	PUNCT
ap-4889	148	8	the	the	DET
ap-4889	148	9	rbf	rbf	PROPN
ap-4889	148	10	uses	use	VERB
ap-4889	148	11	radial	radial	ADJ
ap-4889	148	12	functions	function	NOUN
ap-4889	148	13	rather	rather	ADV
ap-4889	148	14	than	than	ADP
ap-4889	148	15	sigmoid	sigmoid	NOUN
ap-4889	148	16	(	(	PUNCT
ap-4889	148	17	e.g.	e.g.	ADV
ap-4889	148	18	,	,	PUNCT
ap-4889	148	19	mlp	mlp	NOUN
ap-4889	148	20	)	)	PUNCT
ap-4889	148	21	to	to	PART
ap-4889	148	22	build	build	VERB
ap-4889	148	23	a	a	DET
ap-4889	148	24	local	local	ADJ
ap-4889	148	25	decision	decision	NOUN
ap-4889	148	26	function	function	NOUN
ap-4889	148	27	centred	centre	VERB
ap-4889	148	28	on	on	ADP
ap-4889	148	29	a	a	DET
ap-4889	148	30	subset	subset	NOUN
ap-4889	148	31	from	from	ADP
ap-4889	148	32	the	the	DET
ap-4889	148	33	inputs	input	NOUN
ap-4889	148	34	[	[	X
ap-4889	148	35	15	15	NUM
ap-4889	148	36	]	]	PUNCT
ap-4889	148	37	.	.	PUNCT
ap-4889	149	1	the	the	DET
ap-4889	149	2	summation	summation	NOUN
ap-4889	149	3	of	of	ADP
ap-4889	149	4	all	all	DET
ap-4889	149	5	local	local	ADJ
ap-4889	149	6	functions	function	NOUN
ap-4889	149	7	represents	represent	VERB
ap-4889	149	8	the	the	DET
ap-4889	149	9	global	global	ADJ
ap-4889	149	10	decision	decision	NOUN
ap-4889	149	11	function	function	NOUN
ap-4889	149	12	[	[	X
ap-4889	149	13	16	16	NUM
ap-4889	149	14	]	]	PUNCT
ap-4889	149	15	to	to	PART
ap-4889	149	16	solve	solve	VERB
ap-4889	149	17	the	the	DET
ap-4889	149	18	local	local	ADJ
ap-4889	149	19	minima	minima	PROPN
ap-4889	149	20	problem	problem	NOUN
ap-4889	149	21	.	.	PUNCT
ap-4889	150	1	the	the	DET
ap-4889	150	2	used	use	VERB
ap-4889	150	3	rbf	rbf	PROPN
ap-4889	150	4	network	network	NOUN
ap-4889	150	5	[	[	X
ap-4889	150	6	17	17	NUM
ap-4889	150	7	,	,	PUNCT
ap-4889	150	8	18	18	NUM
ap-4889	150	9	]	]	PUNCT
ap-4889	150	10	consists	consist	VERB
ap-4889	150	11	of	of	ADP
ap-4889	150	12	3	3	NUM
ap-4889	150	13	layers	layer	NOUN
ap-4889	150	14	(	(	PUNCT
ap-4889	150	15	figure	figure	NOUN
ap-4889	150	16	7	7	NUM
ap-4889	150	17	)	)	PUNCT
ap-4889	150	18	.	.	PUNCT
ap-4889	151	1	every	every	DET
ap-4889	151	2	hidden	hide	VERB
ap-4889	151	3	node	node	NOUN
ap-4889	151	4	applies	apply	VERB
ap-4889	151	5	a	a	DET
ap-4889	151	6	kernel	kernel	NOUN
ap-4889	151	7	function	function	NOUN
ap-4889	151	8	to	to	ADP
ap-4889	151	9	the	the	DET
ap-4889	151	10	input	input	NOUN
ap-4889	151	11	data	datum	NOUN
ap-4889	151	12	,	,	PUNCT
ap-4889	151	13	then	then	ADV
ap-4889	151	14	the	the	DET
ap-4889	151	15	output	output	NOUN
ap-4889	151	16	layer	layer	NOUN
ap-4889	151	17	performs	perform	VERB
ap-4889	151	18	a	a	DET
ap-4889	151	19	weighted	weighted	ADJ
ap-4889	151	20	sum	sum	NOUN
ap-4889	151	21	of	of	ADP
ap-4889	151	22	these	these	DET
ap-4889	151	23	kernel	kernel	NOUN
ap-4889	151	24	functions	function	NOUN
ap-4889	151	25	.	.	PUNCT
ap-4889	152	1	every	every	DET
ap-4889	152	2	node	node	NOUN
ap-4889	152	3	is	be	AUX
ap-4889	152	4	characterized	characterize	VERB
ap-4889	152	5	by	by	ADP
ap-4889	152	6	two	two	NUM
ap-4889	152	7	parameters	parameter	NOUN
ap-4889	152	8	,	,	PUNCT
ap-4889	152	9	which	which	PRON
ap-4889	152	10	are	be	AUX
ap-4889	152	11	the	the	DET
ap-4889	152	12	width	width	ADJ
ap-4889	152	13	and	and	CCONJ
ap-4889	152	14	the	the	DET
ap-4889	152	15	centre	centre	NOUN
ap-4889	152	16	of	of	ADP
ap-4889	152	17	the	the	DET
ap-4889	152	18	radial	radial	ADJ
ap-4889	152	19	function	function	NOUN
ap-4889	152	20	.	.	PUNCT
ap-4889	153	1	if	if	SCONJ
ap-4889	153	2	the	the	DET
ap-4889	153	3	input	input	NOUN
ap-4889	153	4	data	datum	NOUN
ap-4889	153	5	of	of	ADP
ap-4889	153	6	a	a	DET
ap-4889	153	7	node	node	NOUN
ap-4889	153	8	are	be	AUX
ap-4889	153	9	close	close	ADJ
ap-4889	153	10	to	to	ADP
ap-4889	153	11	the	the	DET
ap-4889	153	12	centre	centre	NOUN
ap-4889	153	13	(	(	PUNCT
ap-4889	153	14	estimated	estimate	VERB
ap-4889	153	15	using	use	VERB
ap-4889	153	16	the	the	DET
ap-4889	153	17	euclidian	euclidian	ADJ
ap-4889	153	18	distance	distance	NOUN
ap-4889	153	19	)	)	PUNCT
ap-4889	153	20	,	,	PUNCT
ap-4889	153	21	the	the	DET
ap-4889	153	22	output	output	NOUN
ap-4889	153	23	value	value	NOUN
ap-4889	153	24	will	will	AUX
ap-4889	153	25	be	be	AUX
ap-4889	153	26	high	high	ADJ
ap-4889	153	27	.	.	PUNCT
ap-4889	154	1	in	in	ADP
ap-4889	154	2	this	this	DET
ap-4889	154	3	work	work	NOUN
ap-4889	154	4	,	,	PUNCT
ap-4889	154	5	we	we	PRON
ap-4889	154	6	have	have	AUX
ap-4889	154	7	used	use	VERB
ap-4889	154	8	a	a	DET
ap-4889	154	9	gaussian	gaussian	ADJ
ap-4889	154	10	kernel	kernel	NOUN
ap-4889	154	11	function	function	NOUN
ap-4889	154	12	.	.	PUNCT
ap-4889	155	1	the	the	DET
ap-4889	155	2	complete	complete	ADJ
ap-4889	155	3	configuration	configuration	NOUN
ap-4889	155	4	of	of	ADP
ap-4889	155	5	the	the	DET
ap-4889	155	6	network	network	NOUN
ap-4889	155	7	is	be	AUX
ap-4889	155	8	achieved	achieve	VERB
ap-4889	155	9	after	after	ADP
ap-4889	155	10	determining	determine	VERB
ap-4889	155	11	the	the	DET
ap-4889	155	12	centre	centre	NOUN
ap-4889	155	13	and	and	CCONJ
ap-4889	155	14	the	the	DET
ap-4889	155	15	width	width	NOUN
ap-4889	155	16	associated	associate	VERB
ap-4889	155	17	to	to	ADP
ap-4889	155	18	each	each	DET
ap-4889	155	19	node	node	NOUN
ap-4889	155	20	as	as	ADV
ap-4889	155	21	well	well	ADV
ap-4889	155	22	as	as	ADP
ap-4889	155	23	the	the	DET
ap-4889	155	24	weight	weight	NOUN
ap-4889	155	25	of	of	ADP
ap-4889	155	26	the	the	DET
ap-4889	155	27	connections	connection	NOUN
ap-4889	155	28	between	between	ADP
ap-4889	155	29	the	the	DET
ap-4889	155	30	hidden	hide	VERB
ap-4889	155	31	layer	layer	NOUN
ap-4889	155	32	and	and	CCONJ
ap-4889	155	33	the	the	DET
ap-4889	155	34	output	output	NOUN
ap-4889	155	35	layer	layer	NOUN
ap-4889	155	36	,	,	PUNCT
ap-4889	155	37	which	which	PRON
ap-4889	155	38	contains	contain	VERB
ap-4889	155	39	28	28	NUM
ap-4889	155	40	arabic	arabic	ADJ
ap-4889	155	41	characters	character	NOUN
ap-4889	155	42	or	or	CCONJ
ap-4889	155	43	the	the	DET
ap-4889	155	44	48	48	NUM
ap-4889	155	45	words	word	NOUN
ap-4889	155	46	representing	represent	VERB
ap-4889	155	47	the	the	DET
ap-4889	155	48	cities	city	NOUN
ap-4889	155	49	of	of	ADP
ap-4889	155	50	algeria	algeria	PROPN
ap-4889	155	51	.	.	PUNCT
ap-4889	156	1	in	in	ADP
ap-4889	156	2	this	this	DET
ap-4889	156	3	work	work	NOUN
ap-4889	156	4	,	,	PUNCT
ap-4889	156	5	we	we	PRON
ap-4889	156	6	have	have	AUX
ap-4889	156	7	experimented	experiment	VERB
ap-4889	156	8	with	with	ADP
ap-4889	156	9	several	several	ADJ
ap-4889	156	10	variants	variant	NOUN
ap-4889	156	11	of	of	ADP
ap-4889	156	12	rbf	rbf	PROPN
ap-4889	156	13	networks	network	NOUN
ap-4889	156	14	,	,	PUNCT
ap-4889	156	15	a	a	DET
ap-4889	156	16	brief	brief	ADJ
ap-4889	156	17	description	description	NOUN
ap-4889	156	18	of	of	ADP
ap-4889	156	19	each	each	DET
ap-4889	156	20	one	one	NUM
ap-4889	156	21	of	of	ADP
ap-4889	156	22	them	they	PRON
ap-4889	156	23	is	be	AUX
ap-4889	156	24	given	give	VERB
ap-4889	156	25	in	in	ADP
ap-4889	156	26	the	the	DET
ap-4889	156	27	following	follow	VERB
ap-4889	156	28	paragraphs	paragraph	NOUN
ap-4889	156	29	:	:	PUNCT
ap-4889	156	30	3.3.1	3.3.1	X
ap-4889	156	31	.	.	PUNCT
ap-4889	156	32	radial	radial	ADJ
ap-4889	156	33	basis	basis	NOUN
ap-4889	156	34	function	function	NOUN
ap-4889	156	35	networks	network	NOUN
ap-4889	156	36	exact	exact	ADJ
ap-4889	156	37	(	(	PUNCT
ap-4889	156	38	rbfne	rbfne	NOUN
ap-4889	156	39	)	)	PUNCT
ap-4889	156	40	the	the	DET
ap-4889	156	41	design	design	NOUN
ap-4889	156	42	of	of	ADP
ap-4889	156	43	an	an	DET
ap-4889	156	44	rbfne	rbfne	NOUN
ap-4889	156	45	can	can	AUX
ap-4889	156	46	be	be	AUX
ap-4889	156	47	done	do	VERB
ap-4889	156	48	using	use	VERB
ap-4889	156	49	a	a	DET
ap-4889	156	50	function	function	NOUN
ap-4889	156	51	that	that	PRON
ap-4889	156	52	takes	take	VERB
ap-4889	156	53	as	as	ADP
ap-4889	156	54	input	input	NOUN
ap-4889	156	55	:	:	PUNCT
ap-4889	156	56	the	the	DET
ap-4889	156	57	matrices	matrix	NOUN
ap-4889	156	58	of	of	ADP
ap-4889	156	59	input	input	NOUN
ap-4889	156	60	vectors	vector	NOUN
ap-4889	156	61	p	p	X
ap-4889	156	62	,	,	PUNCT
ap-4889	156	63	the	the	DET
ap-4889	156	64	target	target	NOUN
ap-4889	156	65	vectors	vector	NOUN
ap-4889	156	66	t	t	PROPN
ap-4889	156	67	and	and	CCONJ
ap-4889	156	68	the	the	DET
ap-4889	156	69	spread	spread	ADJ
ap-4889	156	70	factor	factor	NOUN
ap-4889	156	71	of	of	ADP
ap-4889	156	72	the	the	DET
ap-4889	156	73	radial	radial	ADJ
ap-4889	156	74	basis	basis	NOUN
ap-4889	156	75	layer	layer	NOUN
ap-4889	156	76	,	,	PUNCT
ap-4889	156	77	then	then	ADV
ap-4889	156	78	it	it	PRON
ap-4889	156	79	sends	send	VERB
ap-4889	156	80	back	back	ADP
ap-4889	156	81	a	a	DET
ap-4889	156	82	network	network	NOUN
ap-4889	156	83	with	with	ADP
ap-4889	156	84	weights	weight	NOUN
ap-4889	156	85	and	and	CCONJ
ap-4889	156	86	bias	bias	NOUN
ap-4889	156	87	values	value	NOUN
ap-4889	156	88	such	such	ADJ
ap-4889	156	89	that	that	SCONJ
ap-4889	156	90	the	the	DET
ap-4889	156	91	output	output	NOUN
ap-4889	156	92	is	be	AUX
ap-4889	156	93	exactly	exactly	ADV
ap-4889	156	94	t	t	NOUN
ap-4889	156	95	when	when	SCONJ
ap-4889	156	96	the	the	DET
ap-4889	156	97	input	input	NOUN
ap-4889	156	98	is	be	AUX
ap-4889	156	99	p.	p.	NOUN
ap-4889	156	100	the	the	DET
ap-4889	156	101	same	same	ADJ
ap-4889	156	102	function	function	NOUN
ap-4889	156	103	creates	create	VERB
ap-4889	156	104	many	many	ADJ
ap-4889	156	105	radial	radial	ADJ
ap-4889	156	106	basis	basis	NOUN
ap-4889	156	107	neurons	neuron	NOUN
ap-4889	156	108	that	that	PRON
ap-4889	156	109	input	input	NOUN
ap-4889	156	110	vectors	vector	NOUN
ap-4889	156	111	in	in	ADP
ap-4889	156	112	p.	p.	NOUN
ap-4889	156	113	so	so	ADV
ap-4889	156	114	,	,	PUNCT
ap-4889	156	115	we	we	PRON
ap-4889	156	116	have	have	VERB
ap-4889	156	117	a	a	DET
ap-4889	156	118	radial	radial	ADJ
ap-4889	156	119	basis	basis	NOUN
ap-4889	156	120	neuron	neuron	NOUN
ap-4889	156	121	layer	layer	NOUN
ap-4889	156	122	in	in	ADP
ap-4889	156	123	which	which	PRON
ap-4889	156	124	every	every	DET
ap-4889	156	125	neuron	neuron	NOUN
ap-4889	156	126	acts	act	VERB
ap-4889	156	127	as	as	ADP
ap-4889	156	128	a	a	DET
ap-4889	156	129	detector	detector	NOUN
ap-4889	156	130	for	for	ADP
ap-4889	156	131	a	a	DET
ap-4889	156	132	different	different	ADJ
ap-4889	156	133	input	input	NOUN
ap-4889	156	134	vector	vector	NOUN
ap-4889	156	135	.	.	PUNCT
ap-4889	157	1	then	then	ADV
ap-4889	157	2	,	,	PUNCT
ap-4889	157	3	the	the	DET
ap-4889	157	4	only	only	ADJ
ap-4889	157	5	parameter	parameter	NOUN
ap-4889	157	6	that	that	DET
ap-4889	157	7	rbfne	rbfne	NOUN
ap-4889	157	8	has	have	VERB
ap-4889	157	9	is	be	AUX
ap-4889	157	10	the	the	DET
ap-4889	157	11	spread	spread	NOUN
ap-4889	157	12	of	of	ADP
ap-4889	157	13	the	the	DET
ap-4889	157	14	radial	radial	ADJ
ap-4889	157	15	basis	basis	NOUN
ap-4889	157	16	functions	function	NOUN
ap-4889	157	17	of	of	ADP
ap-4889	157	18	the	the	DET
ap-4889	157	19	first	first	ADJ
ap-4889	157	20	layer	layer	NOUN
ap-4889	157	21	.	.	PUNCT
ap-4889	158	1	in	in	ADP
ap-4889	158	2	this	this	DET
ap-4889	158	3	work	work	NOUN
ap-4889	158	4	,	,	PUNCT
ap-4889	158	5	the	the	DET
ap-4889	158	6	value	value	NOUN
ap-4889	158	7	of	of	ADP
ap-4889	158	8	the	the	DET
ap-4889	158	9	spread	spread	ADJ
ap-4889	158	10	factor	factor	NOUN
ap-4889	158	11	is	be	AUX
ap-4889	158	12	0.3	0.3	NUM
ap-4889	158	13	.	.	PUNCT
ap-4889	159	1	301	301	NUM
ap-4889	159	2	benbakreti	benbakreti	ADJ
ap-4889	159	3	samir	samir	NOUN
ap-4889	159	4	,	,	PUNCT
ap-4889	159	5	aoued	aoued	PROPN
ap-4889	159	6	boukelif	boukelif	PROPN
ap-4889	159	7	acta	acta	PROPN
ap-4889	159	8	polytechnica	polytechnica	PROPN
ap-4889	159	9	...	...	PUNCT
ap-4889	159	10	...	...	PUNCT
ap-4889	160	1	input	input	NOUN
ap-4889	160	2	layer	layer	NOUN
ap-4889	160	3	radial	radial	ADJ
ap-4889	160	4	basis	basis	NOUN
ap-4889	160	5	layer	layer	NOUN
ap-4889	160	6	special	special	ADJ
ap-4889	160	7	linear	linear	NOUN
ap-4889	160	8	layer	layer	NOUN
ap-4889	160	9	output	output	NOUN
ap-4889	160	10	layer	layer	NOUN
ap-4889	160	11	figure	figure	NOUN
ap-4889	160	12	8	8	NUM
ap-4889	160	13	.	.	PUNCT
ap-4889	161	1	the	the	DET
ap-4889	161	2	grnn	grnn	PROPN
ap-4889	161	3	network	network	NOUN
ap-4889	161	4	architecture	architecture	NOUN
ap-4889	161	5	.	.	PUNCT
ap-4889	162	1	3.3.2	3.3.2	X
ap-4889	162	2	.	.	PUNCT
ap-4889	162	3	radial	radial	ADJ
ap-4889	162	4	basis	basis	NOUN
ap-4889	162	5	function	function	NOUN
ap-4889	162	6	(	(	PUNCT
ap-4889	162	7	rbf	rbf	PROPN
ap-4889	162	8	)	)	PUNCT
ap-4889	162	9	the	the	DET
ap-4889	162	10	second	second	ADJ
ap-4889	162	11	type	type	NOUN
ap-4889	162	12	iteratively	iteratively	ADV
ap-4889	162	13	creates	create	VERB
ap-4889	162	14	a	a	DET
ap-4889	162	15	radial	radial	ADJ
ap-4889	162	16	based	base	VERB
ap-4889	162	17	neuron	neuron	NOUN
ap-4889	162	18	in	in	ADP
ap-4889	162	19	each	each	DET
ap-4889	162	20	instant	instant	NOUN
ap-4889	162	21	.	.	PUNCT
ap-4889	163	1	the	the	DET
ap-4889	163	2	difference	difference	NOUN
ap-4889	163	3	is	be	AUX
ap-4889	163	4	that	that	SCONJ
ap-4889	163	5	the	the	DET
ap-4889	163	6	rbf	rbf	PROPN
ap-4889	163	7	creates	create	VERB
ap-4889	163	8	only	only	ADV
ap-4889	163	9	one	one	NUM
ap-4889	163	10	neuron	neuron	NOUN
ap-4889	163	11	at	at	ADP
ap-4889	163	12	a	a	DET
ap-4889	163	13	time	time	NOUN
ap-4889	163	14	.	.	PUNCT
ap-4889	164	1	in	in	ADP
ap-4889	164	2	every	every	DET
ap-4889	164	3	iteration	iteration	NOUN
ap-4889	164	4	,	,	PUNCT
ap-4889	164	5	the	the	DET
ap-4889	164	6	input	input	NOUN
ap-4889	164	7	vector	vector	NOUN
ap-4889	164	8	,	,	PUNCT
ap-4889	164	9	which	which	PRON
ap-4889	164	10	will	will	AUX
ap-4889	164	11	succeed	succeed	VERB
ap-4889	164	12	to	to	PART
ap-4889	164	13	reduce	reduce	VERB
ap-4889	164	14	most	most	ADJ
ap-4889	164	15	of	of	ADP
ap-4889	164	16	the	the	DET
ap-4889	164	17	network	network	NOUN
ap-4889	164	18	error	error	NOUN
ap-4889	164	19	,	,	PUNCT
ap-4889	164	20	is	be	AUX
ap-4889	164	21	used	use	VERB
ap-4889	164	22	to	to	PART
ap-4889	164	23	create	create	VERB
ap-4889	164	24	a	a	DET
ap-4889	164	25	radial	radial	ADJ
ap-4889	164	26	based	base	VERB
ap-4889	164	27	neuron	neuron	NOUN
ap-4889	164	28	.	.	PUNCT
ap-4889	165	1	the	the	DET
ap-4889	165	2	error	error	NOUN
ap-4889	165	3	of	of	ADP
ap-4889	165	4	the	the	DET
ap-4889	165	5	new	new	ADJ
ap-4889	165	6	network	network	NOUN
ap-4889	165	7	is	be	AUX
ap-4889	165	8	checked	check	VERB
ap-4889	165	9	.	.	PUNCT
ap-4889	166	1	if	if	SCONJ
ap-4889	166	2	it	it	PRON
ap-4889	166	3	is	be	AUX
ap-4889	166	4	sufficiently	sufficiently	ADV
ap-4889	166	5	small	small	ADJ
ap-4889	166	6	,	,	PUNCT
ap-4889	166	7	the	the	DET
ap-4889	166	8	network	network	NOUN
ap-4889	166	9	creation	creation	NOUN
ap-4889	166	10	is	be	AUX
ap-4889	166	11	ended	end	VERB
ap-4889	166	12	,	,	PUNCT
ap-4889	166	13	otherwise	otherwise	ADV
ap-4889	166	14	,	,	PUNCT
ap-4889	166	15	a	a	DET
ap-4889	166	16	following	follow	VERB
ap-4889	166	17	neuron	neuron	NOUN
ap-4889	166	18	is	be	AUX
ap-4889	166	19	added	add	VERB
ap-4889	166	20	.	.	PUNCT
ap-4889	167	1	this	this	DET
ap-4889	167	2	procedure	procedure	NOUN
ap-4889	167	3	is	be	AUX
ap-4889	167	4	repeated	repeat	VERB
ap-4889	167	5	until	until	SCONJ
ap-4889	167	6	the	the	DET
ap-4889	167	7	targeted	target	VERB
ap-4889	167	8	mean	mean	NOUN
ap-4889	167	9	squared	square	VERB
ap-4889	167	10	error	error	NOUN
ap-4889	167	11	is	be	AUX
ap-4889	167	12	reached	reach	VERB
ap-4889	167	13	(	(	PUNCT
ap-4889	167	14	10e−6	10e−6	NUM
ap-4889	167	15	)	)	PUNCT
ap-4889	167	16	,	,	PUNCT
ap-4889	167	17	or	or	CCONJ
ap-4889	167	18	the	the	DET
ap-4889	167	19	maximum	maximum	ADJ
ap-4889	167	20	number	number	NOUN
ap-4889	167	21	of	of	ADP
ap-4889	167	22	neurons	neuron	NOUN
ap-4889	167	23	is	be	AUX
ap-4889	167	24	reached	reach	VERB
ap-4889	167	25	(	(	PUNCT
ap-4889	167	26	300	300	NUM
ap-4889	167	27	)	)	PUNCT
ap-4889	167	28	.	.	PUNCT
ap-4889	168	1	the	the	DET
ap-4889	168	2	number	number	NOUN
ap-4889	168	3	of	of	ADP
ap-4889	168	4	neurons	neuron	NOUN
ap-4889	168	5	added	add	VERB
ap-4889	168	6	between	between	ADP
ap-4889	168	7	every	every	DET
ap-4889	168	8	evaluation	evaluation	NOUN
ap-4889	168	9	is	be	AUX
ap-4889	168	10	fixed	fix	VERB
ap-4889	168	11	,	,	PUNCT
ap-4889	168	12	after	after	ADP
ap-4889	168	13	several	several	ADJ
ap-4889	168	14	experiences	experience	NOUN
ap-4889	168	15	,	,	PUNCT
ap-4889	168	16	to	to	ADP
ap-4889	168	17	25	25	NUM
ap-4889	168	18	.	.	PUNCT
ap-4889	169	1	3.3.3	3.3.3	NUM
ap-4889	169	2	.	.	PUNCT
ap-4889	170	1	generalized	generalize	VERB
ap-4889	170	2	regression	regression	NOUN
ap-4889	170	3	neural	neural	ADJ
ap-4889	170	4	networks	network	NOUN
ap-4889	170	5	(	(	PUNCT
ap-4889	170	6	grnn	grnn	PROPN
ap-4889	170	7	)	)	PUNCT
ap-4889	170	8	this	this	DET
ap-4889	170	9	variant	variant	NOUN
ap-4889	170	10	is	be	AUX
ap-4889	170	11	another	another	DET
ap-4889	170	12	type	type	NOUN
ap-4889	170	13	of	of	ADP
ap-4889	170	14	the	the	DET
ap-4889	170	15	nn	nn	PROPN
ap-4889	170	16	that	that	PRON
ap-4889	170	17	was	be	AUX
ap-4889	170	18	proposed	propose	VERB
ap-4889	170	19	by	by	ADP
ap-4889	170	20	speckt	speckt	VERB
ap-4889	170	21	[	[	X
ap-4889	170	22	19	19	NUM
ap-4889	170	23	]	]	PUNCT
ap-4889	170	24	.	.	PUNCT
ap-4889	171	1	this	this	DET
ap-4889	171	2	regression	regression	NOUN
ap-4889	171	3	based	base	VERB
ap-4889	171	4	network	network	NOUN
ap-4889	171	5	estimates	estimate	VERB
ap-4889	171	6	the	the	DET
ap-4889	171	7	expected	expect	VERB
ap-4889	171	8	mean	mean	NOUN
ap-4889	171	9	value	value	NOUN
ap-4889	171	10	of	of	ADP
ap-4889	171	11	the	the	DET
ap-4889	171	12	output	output	NOUN
ap-4889	171	13	variable	variable	NOUN
ap-4889	171	14	using	use	VERB
ap-4889	171	15	bayesian	bayesian	NOUN
ap-4889	171	16	technique	technique	NOUN
ap-4889	171	17	.	.	PUNCT
ap-4889	172	1	any	any	DET
ap-4889	172	2	continuous	continuous	ADJ
ap-4889	172	3	function	function	NOUN
ap-4889	172	4	approximated	approximate	VERB
ap-4889	172	5	to	to	ADP
ap-4889	172	6	a	a	DET
ap-4889	172	7	linear	linear	ADJ
ap-4889	172	8	combination	combination	NOUN
ap-4889	172	9	of	of	ADP
ap-4889	172	10	gaussian	gaussian	ADJ
ap-4889	172	11	functions	function	NOUN
ap-4889	172	12	.	.	PUNCT
ap-4889	173	1	the	the	DET
ap-4889	173	2	objective	objective	NOUN
ap-4889	173	3	is	be	AUX
ap-4889	173	4	to	to	PART
ap-4889	173	5	make	make	VERB
ap-4889	173	6	a	a	DET
ap-4889	173	7	regression	regression	NOUN
ap-4889	173	8	,	,	PUNCT
ap-4889	173	9	i.e.	i.e.	X
ap-4889	173	10	,	,	PUNCT
ap-4889	173	11	to	to	PART
ap-4889	173	12	build	build	VERB
ap-4889	173	13	a	a	DET
ap-4889	173	14	good	good	ADJ
ap-4889	173	15	approximation	approximation	NOUN
ap-4889	173	16	of	of	ADP
ap-4889	173	17	a	a	DET
ap-4889	173	18	function	function	NOUN
ap-4889	173	19	,	,	PUNCT
ap-4889	173	20	which	which	PRON
ap-4889	173	21	is	be	AUX
ap-4889	173	22	known	know	VERB
ap-4889	173	23	by	by	ADP
ap-4889	173	24	a	a	DET
ap-4889	173	25	limited	limited	ADJ
ap-4889	173	26	number	number	NOUN
ap-4889	173	27	of	of	ADP
ap-4889	173	28	experimental	experimental	ADJ
ap-4889	173	29	points	point	NOUN
ap-4889	173	30	.	.	PUNCT
ap-4889	174	1	this	this	DET
ap-4889	174	2	network	network	NOUN
ap-4889	174	3	can	can	AUX
ap-4889	174	4	be	be	AUX
ap-4889	174	5	used	use	VERB
ap-4889	174	6	to	to	PART
ap-4889	174	7	solve	solve	VERB
ap-4889	174	8	the	the	DET
ap-4889	174	9	classification	classification	NOUN
ap-4889	174	10	problem	problem	NOUN
ap-4889	174	11	.	.	PUNCT
ap-4889	175	1	for	for	ADP
ap-4889	175	2	each	each	DET
ap-4889	175	3	input	input	NOUN
ap-4889	175	4	,	,	PUNCT
ap-4889	175	5	the	the	DET
ap-4889	175	6	first	first	ADJ
ap-4889	175	7	layer	layer	NOUN
ap-4889	175	8	calculates	calculate	VERB
ap-4889	175	9	the	the	DET
ap-4889	175	10	distances	distance	NOUN
ap-4889	175	11	between	between	ADP
ap-4889	175	12	the	the	DET
ap-4889	175	13	input	input	NOUN
ap-4889	175	14	vector	vector	NOUN
ap-4889	175	15	and	and	CCONJ
ap-4889	175	16	the	the	DET
ap-4889	175	17	weight	weight	NOUN
ap-4889	175	18	vector	vector	NOUN
ap-4889	175	19	and	and	CCONJ
ap-4889	175	20	then	then	ADV
ap-4889	175	21	it	it	PRON
ap-4889	175	22	produces	produce	VERB
ap-4889	175	23	a	a	DET
ap-4889	175	24	vector	vector	NOUN
ap-4889	175	25	,	,	PUNCT
ap-4889	175	26	which	which	PRON
ap-4889	175	27	is	be	AUX
ap-4889	175	28	multiplied	multiply	VERB
ap-4889	175	29	by	by	ADP
ap-4889	175	30	the	the	DET
ap-4889	175	31	bias	bias	NOUN
ap-4889	175	32	.	.	PUNCT
ap-4889	176	1	the	the	DET
ap-4889	176	2	network	network	NOUN
ap-4889	176	3	grnn	grnn	NOUN
ap-4889	176	4	diagram	diagram	NOUN
ap-4889	176	5	is	be	AUX
ap-4889	176	6	described	describe	VERB
ap-4889	176	7	in	in	ADP
ap-4889	176	8	figure	figure	NOUN
ap-4889	176	9	8	8	NUM
ap-4889	176	10	:	:	PUNCT
ap-4889	176	11	the	the	DET
ap-4889	176	12	other	other	ADJ
ap-4889	176	13	grnn	grnn	VERB
ap-4889	176	14	specific	specific	ADJ
ap-4889	176	15	layer	layer	NOUN
ap-4889	176	16	is	be	AUX
ap-4889	176	17	called	call	VERB
ap-4889	176	18	a	a	DET
ap-4889	176	19	special	special	ADJ
ap-4889	176	20	linear	linear	NOUN
ap-4889	176	21	layer	layer	NOUN
ap-4889	176	22	and	and	CCONJ
ap-4889	176	23	consist	consist	VERB
ap-4889	176	24	of	of	ADP
ap-4889	176	25	two	two	NUM
ap-4889	176	26	subparts	subpart	NOUN
ap-4889	176	27	:	:	PUNCT
ap-4889	176	28	numerator	numerator	NOUN
ap-4889	176	29	part	part	NOUN
ap-4889	176	30	performs	perform	VERB
ap-4889	176	31	a	a	DET
ap-4889	176	32	summation	summation	NOUN
ap-4889	176	33	of	of	ADP
ap-4889	176	34	the	the	DET
ap-4889	176	35	multiplication	multiplication	NOUN
ap-4889	176	36	of	of	ADP
ap-4889	176	37	training	training	NOUN
ap-4889	176	38	output	output	NOUN
ap-4889	176	39	data	datum	NOUN
ap-4889	176	40	and	and	CCONJ
ap-4889	176	41	activation	activation	NOUN
ap-4889	176	42	function	function	NOUN
ap-4889	176	43	,	,	PUNCT
ap-4889	176	44	the	the	DET
ap-4889	176	45	denominator	denominator	NOUN
ap-4889	176	46	part	part	NOUN
ap-4889	176	47	is	be	AUX
ap-4889	176	48	the	the	DET
ap-4889	176	49	summation	summation	NOUN
ap-4889	176	50	of	of	ADP
ap-4889	176	51	all	all	DET
ap-4889	176	52	activation	activation	NOUN
ap-4889	176	53	function	function	NOUN
ap-4889	176	54	.	.	PUNCT
ap-4889	177	1	this	this	DET
ap-4889	177	2	layer	layer	NOUN
ap-4889	177	3	feeds	feed	VERB
ap-4889	177	4	both	both	DET
ap-4889	177	5	the	the	DET
ap-4889	177	6	numerator	numerator	NOUN
ap-4889	177	7	&	&	CCONJ
ap-4889	177	8	denominator	denominator	NOUN
ap-4889	177	9	to	to	ADP
ap-4889	177	10	the	the	DET
ap-4889	177	11	next	next	ADJ
ap-4889	177	12	output	output	NOUN
ap-4889	177	13	layer	layer	NOUN
ap-4889	177	14	.	.	PUNCT
ap-4889	178	1	3.3.4	3.3.4	X
ap-4889	178	2	.	.	PUNCT
ap-4889	179	1	probabilistic	probabilistic	ADJ
ap-4889	179	2	neural	neural	ADJ
ap-4889	179	3	networks	network	NOUN
ap-4889	179	4	(	(	PUNCT
ap-4889	179	5	pnn	pnn	PROPN
ap-4889	179	6	)	)	PUNCT
ap-4889	179	7	the	the	DET
ap-4889	179	8	probabilistic	probabilistic	ADJ
ap-4889	179	9	neural	neural	ADJ
ap-4889	179	10	network	network	NOUN
ap-4889	179	11	,	,	PUNCT
ap-4889	179	12	introduced	introduce	VERB
ap-4889	179	13	by	by	ADP
ap-4889	179	14	donald	donald	PROPN
ap-4889	179	15	specht	specht	PROPN
ap-4889	179	16	in	in	ADP
ap-4889	179	17	1988	1988	NUM
ap-4889	179	18	,	,	PUNCT
ap-4889	179	19	is	be	AUX
ap-4889	179	20	a	a	DET
ap-4889	179	21	feedforward	feedforward	ADJ
ap-4889	179	22	network	network	NOUN
ap-4889	179	23	with	with	ADP
ap-4889	179	24	three	three	NUM
ap-4889	179	25	layers	layer	NOUN
ap-4889	179	26	used	use	VERB
ap-4889	179	27	for	for	ADP
ap-4889	179	28	the	the	DET
ap-4889	179	29	classification	classification	NOUN
ap-4889	179	30	of	of	ADP
ap-4889	179	31	the	the	DET
ap-4889	179	32	data	datum	NOUN
ap-4889	179	33	[	[	X
ap-4889	179	34	20	20	NUM
ap-4889	179	35	]	]	PUNCT
ap-4889	179	36	.	.	PUNCT
ap-4889	180	1	contrary	contrary	ADJ
ap-4889	180	2	to	to	ADP
ap-4889	180	3	the	the	DET
ap-4889	180	4	other	other	ADJ
ap-4889	180	5	neural	neural	ADJ
ap-4889	180	6	networks	network	NOUN
ap-4889	180	7	,	,	PUNCT
ap-4889	180	8	which	which	PRON
ap-4889	180	9	are	be	AUX
ap-4889	180	10	based	base	VERB
ap-4889	180	11	on	on	ADP
ap-4889	180	12	the	the	DET
ap-4889	180	13	backpropagation	backpropagation	NOUN
ap-4889	180	14	method	method	NOUN
ap-4889	180	15	,	,	PUNCT
ap-4889	180	16	the	the	DET
ap-4889	180	17	pnn	pnn	PROPN
ap-4889	180	18	is	be	AUX
ap-4889	180	19	based	base	VERB
ap-4889	180	20	on	on	ADP
ap-4889	180	21	the	the	DET
ap-4889	180	22	bayes	bayes	PROPN
ap-4889	180	23	decision	decision	NOUN
ap-4889	180	24	strategy	strategy	NOUN
ap-4889	180	25	and	and	CCONJ
ap-4889	180	26	the	the	DET
ap-4889	180	27	probability	probability	NOUN
ap-4889	180	28	density	density	NOUN
ap-4889	180	29	estimation	estimation	NOUN
ap-4889	180	30	.	.	PUNCT
ap-4889	181	1	the	the	DET
ap-4889	181	2	pnn	pnn	PROPN
ap-4889	181	3	uses	use	VERB
ap-4889	181	4	radial	radial	ADJ
ap-4889	181	5	basis	basis	NOUN
ap-4889	181	6	spherical	spherical	ADJ
ap-4889	181	7	gaussian	gaussian	NOUN
ap-4889	181	8	functions	function	NOUN
ap-4889	181	9	centred	centre	VERB
ap-4889	181	10	in	in	ADP
ap-4889	181	11	each	each	DET
ap-4889	181	12	training	training	NOUN
ap-4889	181	13	vector	vector	NOUN
ap-4889	181	14	.	.	PUNCT
ap-4889	182	1	the	the	DET
ap-4889	182	2	membership	membership	NOUN
ap-4889	182	3	probability	probability	NOUN
ap-4889	182	4	of	of	ADP
ap-4889	182	5	a	a	DET
ap-4889	182	6	vector	vector	NOUN
ap-4889	182	7	in	in	ADP
ap-4889	182	8	a	a	DET
ap-4889	182	9	given	give	VERB
ap-4889	182	10	class	class	NOUN
ap-4889	182	11	is	be	AUX
ap-4889	182	12	expressed	express	VERB
ap-4889	182	13	as	as	SCONJ
ap-4889	182	14	follows	follow	VERB
ap-4889	182	15	[	[	X
ap-4889	182	16	21	21	NUM
ap-4889	182	17	,	,	PUNCT
ap-4889	182	18	22	22	NUM
ap-4889	182	19	]	]	NOUN
ap-4889	182	20	:	:	PUNCT
ap-4889	182	21	fi(x	fi(x	NUM
ap-4889	182	22	)	)	PUNCT
ap-4889	183	1	=	=	SYM
ap-4889	183	2	1	1	NUM
ap-4889	183	3	2πp/2σpmi	2πp/2σpmi	NUM
ap-4889	183	4	m∑	m∑	NOUN
ap-4889	183	5	j=1	j=1	NOUN
ap-4889	183	6	e	e	PROPN
ap-4889	183	7	−(x−xij)t	−(x−xij)t	NOUN
ap-4889	183	8	(	(	PUNCT
ap-4889	183	9	x−xij	x−xij	NOUN
ap-4889	183	10	)	)	PUNCT
ap-4889	183	11	2σ2	2σ2	NUM
ap-4889	183	12	,	,	PUNCT
ap-4889	183	13	(	(	PUNCT
ap-4889	183	14	1	1	X
ap-4889	183	15	)	)	PUNCT
ap-4889	183	16	where	where	SCONJ
ap-4889	183	17	i	i	PRON
ap-4889	183	18	is	be	AUX
ap-4889	183	19	the	the	DET
ap-4889	183	20	number	number	NOUN
ap-4889	183	21	of	of	ADP
ap-4889	183	22	classes	class	NOUN
ap-4889	183	23	(	(	PUNCT
ap-4889	183	24	28	28	NUM
ap-4889	183	25	or	or	CCONJ
ap-4889	183	26	48	48	NUM
ap-4889	183	27	in	in	ADP
ap-4889	183	28	our	our	PRON
ap-4889	183	29	case	case	NOUN
ap-4889	183	30	)	)	PUNCT
ap-4889	183	31	,	,	PUNCT
ap-4889	183	32	j	j	PROPN
ap-4889	183	33	is	be	AUX
ap-4889	183	34	the	the	DET
ap-4889	183	35	number	number	NOUN
ap-4889	183	36	of	of	ADP
ap-4889	183	37	the	the	DET
ap-4889	183	38	forms	form	NOUN
ap-4889	183	39	to	to	PART
ap-4889	183	40	be	be	AUX
ap-4889	183	41	recognized	recognize	VERB
ap-4889	183	42	,	,	PUNCT
ap-4889	183	43	mi	mi	PROPN
ap-4889	183	44	is	be	AUX
ap-4889	183	45	the	the	DET
ap-4889	183	46	number	number	NOUN
ap-4889	183	47	of	of	ADP
ap-4889	183	48	the	the	DET
ap-4889	183	49	training	training	NOUN
ap-4889	183	50	vector	vector	NOUN
ap-4889	183	51	of	of	ADP
ap-4889	183	52	the	the	DET
ap-4889	183	53	ith	ith	PROPN
ap-4889	183	54	class	class	NOUN
ap-4889	183	55	,	,	PUNCT
ap-4889	183	56	x	x	X
ap-4889	183	57	is	be	AUX
ap-4889	183	58	a	a	DET
ap-4889	183	59	test	test	NOUN
ap-4889	183	60	vector	vector	NOUN
ap-4889	183	61	,	,	PUNCT
ap-4889	183	62	xij	xij	PROPN
ap-4889	183	63	is	be	AUX
ap-4889	183	64	the	the	DET
ap-4889	183	65	jth	jth	PROPN
ap-4889	183	66	training	training	NOUN
ap-4889	183	67	vector	vector	NOUN
ap-4889	183	68	of	of	ADP
ap-4889	183	69	the	the	DET
ap-4889	183	70	ith	ith	PROPN
ap-4889	183	71	class	class	NOUN
ap-4889	183	72	,	,	PUNCT
ap-4889	183	73	p	p	NOUN
ap-4889	183	74	is	be	AUX
ap-4889	183	75	the	the	DET
ap-4889	183	76	dimension	dimension	NOUN
ap-4889	183	77	of	of	ADP
ap-4889	183	78	the	the	DET
ap-4889	183	79	vector	vector	NOUN
ap-4889	183	80	x	x	NOUN
ap-4889	183	81	,	,	PUNCT
ap-4889	183	82	is	be	AUX
ap-4889	183	83	the	the	DET
ap-4889	183	84	standard	standard	ADJ
ap-4889	183	85	deviation	deviation	NOUN
ap-4889	183	86	,	,	PUNCT
ap-4889	183	87	and	and	CCONJ
ap-4889	183	88	fi(x	fi(x	NUM
ap-4889	183	89	)	)	PUNCT
ap-4889	183	90	is	be	AUX
ap-4889	183	91	the	the	DET
ap-4889	183	92	summation	summation	NOUN
ap-4889	183	93	of	of	ADP
ap-4889	183	94	the	the	DET
ap-4889	183	95	gaussian	gaussian	ADJ
ap-4889	183	96	spherical	spherical	ADJ
ap-4889	183	97	multi	multi	ADJ
ap-4889	183	98	-	-	ADJ
ap-4889	183	99	variable	variable	ADJ
ap-4889	183	100	functions	function	NOUN
ap-4889	183	101	,	,	PUNCT
ap-4889	183	102	centred	centre	VERB
ap-4889	183	103	on	on	ADP
ap-4889	183	104	each	each	DET
ap-4889	183	105	training	training	NOUN
ap-4889	183	106	vectors	vector	NOUN
ap-4889	183	107	xij	xij	PRON
ap-4889	183	108	used	use	VERB
ap-4889	183	109	for	for	ADP
ap-4889	183	110	the	the	DET
ap-4889	183	111	evaluation	evaluation	NOUN
ap-4889	183	112	of	of	ADP
ap-4889	183	113	the	the	DET
ap-4889	183	114	probability	probability	NOUN
ap-4889	183	115	density	density	NOUN
ap-4889	183	116	function	function	NOUN
ap-4889	183	117	of	of	ADP
ap-4889	183	118	the	the	DET
ap-4889	183	119	ith	ith	PROPN
ap-4889	183	120	class	class	NOUN
ap-4889	183	121	.	.	PUNCT
ap-4889	184	1	the	the	DET
ap-4889	184	2	classification	classification	NOUN
ap-4889	184	3	decisions	decision	NOUN
ap-4889	184	4	are	be	AUX
ap-4889	184	5	taken	take	VERB
ap-4889	184	6	according	accord	VERB
ap-4889	184	7	to	to	ADP
ap-4889	184	8	the	the	DET
ap-4889	184	9	decision	decision	NOUN
ap-4889	184	10	of	of	ADP
ap-4889	184	11	bayes	bayes	PROPN
ap-4889	184	12	rule	rule	VERB
ap-4889	185	1	[	[	X
ap-4889	185	2	22	22	NUM
ap-4889	185	3	]	]	X
ap-4889	185	4	:	:	PUNCT
ap-4889	185	5	d(x	d(x	NOUN
ap-4889	185	6	)	)	PUNCT
ap-4889	185	7	=	=	SYM
ap-4889	185	8	ci	ci	NOUN
ap-4889	185	9	if	if	SCONJ
ap-4889	185	10	fi(x	fi(x	NUM
ap-4889	185	11	)	)	PUNCT
ap-4889	185	12	>	>	X
ap-4889	185	13	fk(x	fk(x	PROPN
ap-4889	185	14	)	)	PUNCT
ap-4889	185	15	for	for	ADP
ap-4889	185	16	k	k	PROPN
ap-4889	185	17	6=	6=	PROPN
ap-4889	185	18	i	i	PROPN
ap-4889	185	19	,	,	PUNCT
ap-4889	185	20	(	(	PUNCT
ap-4889	185	21	2	2	X
ap-4889	185	22	)	)	PUNCT
ap-4889	185	23	where	where	SCONJ
ap-4889	185	24	ci	ci	PROPN
ap-4889	185	25	is	be	AUX
ap-4889	185	26	the	the	DET
ap-4889	185	27	ith	ith	PROPN
ap-4889	185	28	class	class	NOUN
ap-4889	185	29	.	.	PUNCT
ap-4889	186	1	when	when	SCONJ
ap-4889	186	2	an	an	DET
ap-4889	186	3	input	input	NOUN
ap-4889	186	4	is	be	AUX
ap-4889	186	5	presented	present	VERB
ap-4889	186	6	;	;	PUNCT
ap-4889	186	7	•	•	NUM
ap-4889	186	8	the	the	DET
ap-4889	186	9	first	first	ADJ
ap-4889	186	10	layer	layer	NOUN
ap-4889	186	11	calculates	calculate	VERB
ap-4889	186	12	the	the	DET
ap-4889	186	13	distances	distance	NOUN
ap-4889	186	14	between	between	ADP
ap-4889	186	15	the	the	DET
ap-4889	186	16	input	input	NOUN
ap-4889	186	17	vector	vector	NOUN
ap-4889	186	18	and	and	CCONJ
ap-4889	186	19	all	all	DET
ap-4889	186	20	the	the	DET
ap-4889	186	21	training	training	NOUN
ap-4889	186	22	vectors	vector	NOUN
ap-4889	186	23	,	,	PUNCT
ap-4889	186	24	and	and	CCONJ
ap-4889	186	25	produces	produce	VERB
ap-4889	186	26	a	a	DET
ap-4889	186	27	vector	vector	NOUN
ap-4889	186	28	with	with	ADP
ap-4889	186	29	elements	element	NOUN
ap-4889	186	30	that	that	PRON
ap-4889	186	31	indicate	indicate	VERB
ap-4889	186	32	how	how	SCONJ
ap-4889	186	33	this	this	DET
ap-4889	186	34	input	input	NOUN
ap-4889	186	35	vector	vector	NOUN
ap-4889	186	36	is	be	AUX
ap-4889	186	37	close	close	ADJ
ap-4889	186	38	to	to	ADP
ap-4889	186	39	every	every	DET
ap-4889	186	40	training	training	NOUN
ap-4889	186	41	vector	vector	NOUN
ap-4889	186	42	.	.	PUNCT
ap-4889	187	1	•	•	NUM
ap-4889	187	2	the	the	DET
ap-4889	187	3	second	second	ADJ
ap-4889	187	4	layer	layer	NOUN
ap-4889	187	5	adds	add	VERB
ap-4889	187	6	these	these	DET
ap-4889	187	7	contributions	contribution	NOUN
ap-4889	187	8	for	for	ADP
ap-4889	187	9	every	every	DET
ap-4889	187	10	inputs	input	NOUN
ap-4889	187	11	class	class	NOUN
ap-4889	187	12	to	to	PART
ap-4889	187	13	produce	produce	VERB
ap-4889	187	14	a	a	DET
ap-4889	187	15	probability	probability	NOUN
ap-4889	187	16	vector	vector	NOUN
ap-4889	187	17	at	at	ADP
ap-4889	187	18	the	the	DET
ap-4889	187	19	network	network	NOUN
ap-4889	187	20	output	output	NOUN
ap-4889	187	21	.	.	PUNCT
ap-4889	188	1	finally	finally	ADV
ap-4889	188	2	,	,	PUNCT
ap-4889	188	3	a	a	DET
ap-4889	188	4	transfer	transfer	NOUN
ap-4889	188	5	function	function	NOUN
ap-4889	188	6	at	at	ADP
ap-4889	188	7	the	the	DET
ap-4889	188	8	output	output	NOUN
ap-4889	188	9	of	of	ADP
ap-4889	188	10	the	the	DET
ap-4889	188	11	second	second	ADJ
ap-4889	188	12	layer	layer	NOUN
ap-4889	188	13	selects	select	VERB
ap-4889	188	14	the	the	DET
ap-4889	188	15	maximum	maximum	NOUN
ap-4889	188	16	of	of	ADP
ap-4889	188	17	these	these	DET
ap-4889	188	18	probabilities	probability	NOUN
ap-4889	188	19	,	,	PUNCT
ap-4889	188	20	and	and	CCONJ
ap-4889	188	21	assigns	assign	VERB
ap-4889	188	22	“	"	PUNCT
ap-4889	188	23	1	1	NUM
ap-4889	188	24	”	"	PUNCT
ap-4889	188	25	to	to	ADP
ap-4889	188	26	the	the	DET
ap-4889	188	27	corresponding	correspond	VERB
ap-4889	188	28	class	class	NOUN
ap-4889	188	29	and	and	CCONJ
ap-4889	188	30	“	"	PUNCT
ap-4889	188	31	0	0	NUM
ap-4889	188	32	”	"	PUNCT
ap-4889	188	33	to	to	ADP
ap-4889	188	34	the	the	DET
ap-4889	188	35	others	other	NOUN
ap-4889	188	36	.	.	PUNCT
ap-4889	189	1	3.4	3.4	NUM
ap-4889	189	2	.	.	PUNCT
ap-4889	190	1	deep	deep	ADJ
ap-4889	190	2	learning	learn	VERB
ap-4889	190	3	the	the	DET
ap-4889	190	4	deep	deep	ADJ
ap-4889	190	5	learning	learning	NOUN
ap-4889	190	6	models	model	NOUN
ap-4889	190	7	are	be	AUX
ap-4889	190	8	built	build	VERB
ap-4889	190	9	in	in	ADP
ap-4889	190	10	the	the	DET
ap-4889	190	11	same	same	ADJ
ap-4889	190	12	way	way	NOUN
ap-4889	190	13	as	as	ADP
ap-4889	190	14	the	the	DET
ap-4889	190	15	previously	previously	ADV
ap-4889	190	16	described	describe	VERB
ap-4889	190	17	multilayer	multilayer	PROPN
ap-4889	190	18	perceptron	perceptron	PROPN
ap-4889	190	19	,	,	PUNCT
ap-4889	190	20	except	except	SCONJ
ap-4889	190	21	that	that	SCONJ
ap-4889	190	22	the	the	DET
ap-4889	190	23	different	different	ADJ
ap-4889	190	24	middle	middle	ADJ
ap-4889	190	25	layers	layer	NOUN
ap-4889	190	26	are	be	AUX
ap-4889	190	27	more	more	ADV
ap-4889	190	28	numerous	numerous	ADJ
ap-4889	190	29	.	.	PUNCT
ap-4889	191	1	but	but	CCONJ
ap-4889	191	2	the	the	DET
ap-4889	191	3	main	main	ADJ
ap-4889	191	4	difference	difference	NOUN
ap-4889	191	5	is	be	AUX
ap-4889	191	6	the	the	DET
ap-4889	191	7	learning	learning	NOUN
ap-4889	191	8	method	method	NOUN
ap-4889	191	9	,	,	PUNCT
ap-4889	191	10	which	which	PRON
ap-4889	191	11	distinguishes	distinguish	VERB
ap-4889	191	12	them	they	PRON
ap-4889	191	13	from	from	ADP
ap-4889	191	14	a	a	DET
ap-4889	191	15	classic	classic	ADJ
ap-4889	191	16	mlp	mlp	NOUN
ap-4889	191	17	and	and	CCONJ
ap-4889	191	18	which	which	PRON
ap-4889	191	19	gave	give	VERB
ap-4889	191	20	them	they	PRON
ap-4889	191	21	a	a	DET
ap-4889	191	22	renewed	renew	VERB
ap-4889	191	23	interest	interest	NOUN
ap-4889	191	24	since	since	SCONJ
ap-4889	191	25	2006	2006	NUM
ap-4889	191	26	.	.	PUNCT
ap-4889	192	1	in	in	ADP
ap-4889	192	2	fact	fact	NOUN
ap-4889	192	3	,	,	PUNCT
ap-4889	192	4	the	the	DET
ap-4889	192	5	limits	limit	NOUN
ap-4889	192	6	and	and	CCONJ
ap-4889	192	7	the	the	DET
ap-4889	192	8	drawbacks	drawback	NOUN
ap-4889	192	9	[	[	X
ap-4889	192	10	23	23	NUM
ap-4889	192	11	]	]	PUNCT
ap-4889	192	12	of	of	ADP
ap-4889	192	13	the	the	DET
ap-4889	192	14	classic	classic	ADJ
ap-4889	192	15	architectures	architecture	NOUN
ap-4889	192	16	mentioned	mention	VERB
ap-4889	192	17	so	so	ADV
ap-4889	192	18	far	far	ADV
ap-4889	192	19	in	in	ADP
ap-4889	192	20	this	this	DET
ap-4889	192	21	paper	paper	NOUN
ap-4889	192	22	contributed	contribute	VERB
ap-4889	192	23	to	to	ADP
ap-4889	192	24	this	this	DET
ap-4889	192	25	interest	interest	NOUN
ap-4889	192	26	.	.	PUNCT
ap-4889	193	1	for	for	ADP
ap-4889	193	2	these	these	DET
ap-4889	193	3	reasons	reason	NOUN
ap-4889	193	4	,	,	PUNCT
ap-4889	193	5	bengio	bengio	PROPN
ap-4889	193	6	et	et	PROPN
ap-4889	193	7	al	al	PROPN
ap-4889	193	8	.	.	PUNCT
ap-4889	194	1	[	[	X
ap-4889	194	2	11	11	NUM
ap-4889	194	3	]	]	PUNCT
ap-4889	194	4	proposed	propose	VERB
ap-4889	194	5	a	a	DET
ap-4889	194	6	greedy	greedy	ADJ
ap-4889	194	7	learning	learn	VERB
ap-4889	194	8	algorithm	algorithm	NOUN
ap-4889	194	9	based	base	VERB
ap-4889	194	10	on	on	ADP
ap-4889	194	11	a	a	DET
ap-4889	194	12	staking	staking	NOUN
ap-4889	194	13	of	of	ADP
ap-4889	194	14	autoassociators	autoassociator	NOUN
ap-4889	194	15	,	,	PUNCT
ap-4889	194	16	which	which	PRON
ap-4889	194	17	allows	allow	VERB
ap-4889	194	18	building	build	VERB
ap-4889	194	19	the	the	DET
ap-4889	194	20	hidden	hidden	ADJ
ap-4889	194	21	layers	layer	NOUN
ap-4889	194	22	one	one	NUM
ap-4889	194	23	after	after	ADP
ap-4889	194	24	the	the	DET
ap-4889	194	25	other	other	ADJ
ap-4889	194	26	.	.	PUNCT
ap-4889	195	1	in	in	ADP
ap-4889	195	2	this	this	DET
ap-4889	195	3	paper	paper	NOUN
ap-4889	195	4	,	,	PUNCT
ap-4889	195	5	we	we	PRON
ap-4889	195	6	have	have	AUX
ap-4889	195	7	used	use	VERB
ap-4889	195	8	the	the	DET
ap-4889	195	9	deep	deep	ADJ
ap-4889	195	10	network	network	NOUN
ap-4889	195	11	model	model	NOUN
ap-4889	195	12	proposed	propose	VERB
ap-4889	195	13	by	by	ADP
ap-4889	195	14	hinton	hinton	PROPN
ap-4889	195	15	et	et	PROPN
ap-4889	195	16	al	al	PROPN
ap-4889	195	17	.	.	PUNCT
ap-4889	196	1	[	[	X
ap-4889	196	2	12	12	NUM
ap-4889	196	3	]	]	PUNCT
ap-4889	196	4	in	in	ADP
ap-4889	196	5	2006	2006	NUM
ap-4889	196	6	,	,	PUNCT
ap-4889	196	7	which	which	PRON
ap-4889	196	8	is	be	AUX
ap-4889	196	9	based	base	VERB
ap-4889	196	10	on	on	ADP
ap-4889	196	11	staked	staked	ADJ
ap-4889	196	12	restricted	restrict	VERB
ap-4889	196	13	boltzmann	boltzmann	PROPN
ap-4889	196	14	machines	machine	NOUN
ap-4889	196	15	(	(	PUNCT
ap-4889	196	16	rbms	rbms	ADV
ap-4889	196	17	)	)	PUNCT
ap-4889	196	18	,	,	PUNCT
ap-4889	196	19	to	to	PART
ap-4889	196	20	construct	construct	VERB
ap-4889	196	21	the	the	DET
ap-4889	196	22	so	so	ADV
ap-4889	196	23	called	call	VERB
ap-4889	196	24	deep	deep	ADJ
ap-4889	196	25	belief	belief	NOUN
ap-4889	196	26	networks	network	NOUN
ap-4889	196	27	.	.	PUNCT
ap-4889	197	1	the	the	DET
ap-4889	197	2	topology	topology	NOUN
ap-4889	197	3	and	and	CCONJ
ap-4889	197	4	the	the	DET
ap-4889	197	5	learning	learning	NOUN
ap-4889	197	6	method	method	NOUN
ap-4889	197	7	used	use	VERB
ap-4889	197	8	in	in	ADP
ap-4889	197	9	this	this	DET
ap-4889	197	10	model	model	NOUN
ap-4889	197	11	are	be	AUX
ap-4889	197	12	presented	present	VERB
ap-4889	197	13	below	below	ADV
ap-4889	197	14	.	.	PUNCT
ap-4889	198	1	302	302	NUM
ap-4889	198	2	vol	vol	NOUN
ap-4889	198	3	.	.	PUNCT
ap-4889	198	4	58	58	NUM
ap-4889	198	5	no	no	INTJ
ap-4889	198	6	.	.	PUNCT
ap-4889	199	1	5/2018	5/2018	NUM
ap-4889	199	2	new	new	ADJ
ap-4889	199	3	approach	approach	NOUN
ap-4889	199	4	for	for	ADP
ap-4889	199	5	online	online	ADJ
ap-4889	199	6	arabic	arabic	ADJ
ap-4889	199	7	manuscript	manuscript	PROPN
ap-4889	199	8	recongnition	recongnition	NOUN
ap-4889	199	9	by	by	ADP
ap-4889	199	10	deep	deep	ADJ
ap-4889	199	11	belief	belief	NOUN
ap-4889	199	12	network	network	NOUN
ap-4889	199	13	v	v	PROPN
ap-4889	199	14	w	w	PROPN
ap-4889	199	15	h	h	NOUN
ap-4889	199	16	figure	figure	NOUN
ap-4889	199	17	9	9	NUM
ap-4889	199	18	.	.	X
ap-4889	199	19	rbm	rbm	PROPN
ap-4889	199	20	:	:	PUNCT
ap-4889	199	21	v	v	NOUN
ap-4889	199	22	is	be	AUX
ap-4889	199	23	the	the	DET
ap-4889	199	24	visible	visible	ADJ
ap-4889	199	25	layer	layer	NOUN
ap-4889	199	26	,	,	PUNCT
ap-4889	199	27	h	h	NOUN
ap-4889	199	28	is	be	AUX
ap-4889	199	29	the	the	DET
ap-4889	199	30	hidden	hidden	ADJ
ap-4889	199	31	layer	layer	NOUN
ap-4889	199	32	and	and	CCONJ
ap-4889	199	33	w	w	NOUN
ap-4889	199	34	is	be	AUX
ap-4889	199	35	the	the	DET
ap-4889	199	36	connection	connection	NOUN
ap-4889	199	37	weight	weight	NOUN
ap-4889	199	38	.	.	PUNCT
ap-4889	200	1	3.4.1	3.4.1	X
ap-4889	200	2	.	.	NUM
ap-4889	200	3	restricted	restrict	VERB
ap-4889	200	4	boltzmann	boltzmann	PROPN
ap-4889	200	5	machine	machine	NOUN
ap-4889	200	6	(	(	PUNCT
ap-4889	200	7	rbm	rbm	PROPN
ap-4889	200	8	)	)	PUNCT
ap-4889	200	9	and	and	CCONJ
ap-4889	200	10	contrastive	contrastive	ADJ
ap-4889	200	11	divergence	divergence	NOUN
ap-4889	200	12	learning	learning	NOUN
ap-4889	200	13	(	(	PUNCT
ap-4889	200	14	cd	cd	PROPN
ap-4889	200	15	)	)	PUNCT
ap-4889	200	16	rbm	rbm	PROPN
ap-4889	200	17	is	be	AUX
ap-4889	200	18	an	an	DET
ap-4889	200	19	undirected	undirected	ADJ
ap-4889	200	20	graph	graph	NOUN
ap-4889	200	21	with	with	ADP
ap-4889	200	22	two	two	NUM
ap-4889	200	23	layers	layer	NOUN
ap-4889	200	24	.	.	PUNCT
ap-4889	201	1	the	the	DET
ap-4889	201	2	first	first	ADJ
ap-4889	201	3	layer	layer	NOUN
ap-4889	201	4	is	be	AUX
ap-4889	201	5	considered	consider	VERB
ap-4889	201	6	visible	visible	ADJ
ap-4889	201	7	while	while	SCONJ
ap-4889	201	8	the	the	DET
ap-4889	201	9	second	second	ADJ
ap-4889	201	10	is	be	AUX
ap-4889	201	11	hidden	hide	VERB
ap-4889	201	12	.	.	PUNCT
ap-4889	202	1	each	each	DET
ap-4889	202	2	node	node	NOUN
ap-4889	202	3	represents	represent	VERB
ap-4889	202	4	a	a	DET
ap-4889	202	5	neuron	neuron	NOUN
ap-4889	202	6	.	.	PUNCT
ap-4889	203	1	the	the	DET
ap-4889	203	2	neuron	neuron	NOUN
ap-4889	203	3	is	be	AUX
ap-4889	203	4	active	active	ADJ
ap-4889	203	5	when	when	SCONJ
ap-4889	203	6	its	its	PRON
ap-4889	203	7	cost	cost	NOUN
ap-4889	203	8	is	be	AUX
ap-4889	203	9	equal	equal	ADJ
ap-4889	203	10	to	to	ADP
ap-4889	203	11	1	1	NUM
ap-4889	203	12	and	and	CCONJ
ap-4889	203	13	inactive	inactive	ADJ
ap-4889	203	14	if	if	SCONJ
ap-4889	203	15	it	it	PRON
ap-4889	203	16	is	be	AUX
ap-4889	203	17	0	0	NUM
ap-4889	203	18	.	.	PUNCT
ap-4889	204	1	the	the	DET
ap-4889	204	2	visible	visible	ADJ
ap-4889	204	3	layer	layer	NOUN
ap-4889	204	4	is	be	AUX
ap-4889	204	5	connected	connect	VERB
ap-4889	204	6	to	to	ADP
ap-4889	204	7	the	the	DET
ap-4889	204	8	hidden	hide	VERB
ap-4889	204	9	layer	layer	NOUN
ap-4889	204	10	by	by	ADP
ap-4889	204	11	weighted	weight	VERB
ap-4889	204	12	edges	edge	NOUN
ap-4889	204	13	(	(	PUNCT
ap-4889	204	14	figure	figure	NOUN
ap-4889	204	15	9	9	NUM
ap-4889	204	16	)	)	PUNCT
ap-4889	204	17	.	.	PUNCT
ap-4889	205	1	the	the	DET
ap-4889	205	2	visible	visible	ADJ
ap-4889	205	3	layer	layer	NOUN
ap-4889	205	4	represents	represent	VERB
ap-4889	205	5	the	the	DET
ap-4889	205	6	observed	observe	VERB
ap-4889	205	7	data	datum	NOUN
ap-4889	205	8	and	and	CCONJ
ap-4889	205	9	the	the	DET
ap-4889	205	10	hidden	hide	VERB
ap-4889	205	11	layer	layer	NOUN
ap-4889	205	12	represents	represent	VERB
ap-4889	205	13	the	the	DET
ap-4889	205	14	unknown	unknown	ADJ
ap-4889	205	15	elements	element	NOUN
ap-4889	205	16	associated	associate	VERB
ap-4889	205	17	with	with	ADP
ap-4889	205	18	the	the	DET
ap-4889	205	19	data	datum	NOUN
ap-4889	205	20	.	.	PUNCT
ap-4889	206	1	its	its	PRON
ap-4889	206	2	size	size	NOUN
ap-4889	206	3	(	(	PUNCT
ap-4889	206	4	fixed	fix	VERB
ap-4889	206	5	arbitrarily	arbitrarily	ADV
ap-4889	206	6	)	)	PUNCT
ap-4889	206	7	allows	allow	VERB
ap-4889	206	8	the	the	DET
ap-4889	206	9	rbm	rbm	PROPN
ap-4889	206	10	to	to	PART
ap-4889	206	11	model	model	VERB
ap-4889	206	12	more	more	ADV
ap-4889	206	13	or	or	CCONJ
ap-4889	206	14	less	less	ADV
ap-4889	206	15	complex	complex	ADJ
ap-4889	206	16	distributions	distribution	NOUN
ap-4889	206	17	.	.	PUNCT
ap-4889	207	1	let	let	VERB
ap-4889	207	2	us	we	PRON
ap-4889	207	3	suppose	suppose	VERB
ap-4889	207	4	that	that	SCONJ
ap-4889	207	5	a	a	DET
ap-4889	207	6	bias	bias	NOUN
ap-4889	207	7	unit	unit	NOUN
ap-4889	207	8	,	,	PUNCT
ap-4889	207	9	always	always	ADV
ap-4889	207	10	active	active	ADJ
ap-4889	207	11	,	,	PUNCT
ap-4889	207	12	is	be	AUX
ap-4889	207	13	presented	present	VERB
ap-4889	207	14	in	in	ADP
ap-4889	207	15	the	the	DET
ap-4889	207	16	visible	visible	ADJ
ap-4889	207	17	layer	layer	NOUN
ap-4889	207	18	and	and	CCONJ
ap-4889	207	19	the	the	DET
ap-4889	207	20	hidden	hide	VERB
ap-4889	207	21	layer	layer	NOUN
ap-4889	207	22	.	.	PUNCT
ap-4889	208	1	w	w	NOUN
ap-4889	208	2	is	be	AUX
ap-4889	208	3	the	the	DET
ap-4889	208	4	weights	weight	NOUN
ap-4889	208	5	matrix	matrix	NOUN
ap-4889	208	6	,	,	PUNCT
ap-4889	208	7	where	where	SCONJ
ap-4889	208	8	wij	wij	PROPN
ap-4889	208	9	represents	represent	VERB
ap-4889	208	10	the	the	DET
ap-4889	208	11	weight	weight	NOUN
ap-4889	208	12	of	of	ADP
ap-4889	208	13	the	the	DET
ap-4889	208	14	link	link	NOUN
ap-4889	208	15	between	between	ADP
ap-4889	208	16	the	the	DET
ap-4889	208	17	units	unit	NOUN
ap-4889	208	18	vj	vj	INTJ
ap-4889	209	1	and	and	CCONJ
ap-4889	209	2	hi	hi	INTJ
ap-4889	209	3	the	the	DET
ap-4889	209	4	rbm	rbm	PROPN
ap-4889	209	5	energy	energy	NOUN
ap-4889	209	6	is	be	AUX
ap-4889	209	7	given	give	VERB
ap-4889	209	8	by	by	ADP
ap-4889	209	9	:	:	PUNCT
ap-4889	209	10	energy(v	energy(v	PROPN
ap-4889	209	11	,	,	PUNCT
ap-4889	209	12	h	h	NOUN
ap-4889	209	13	)	)	PUNCT
ap-4889	209	14	=	=	SYM
ap-4889	209	15	−htwv	−htwv	X
ap-4889	209	16	,	,	PUNCT
ap-4889	209	17	(	(	PUNCT
ap-4889	209	18	3	3	X
ap-4889	209	19	)	)	PUNCT
ap-4889	209	20	each	each	DET
ap-4889	209	21	unit	unit	NOUN
ap-4889	209	22	corresponds	correspond	VERB
ap-4889	209	23	to	to	ADP
ap-4889	209	24	a	a	DET
ap-4889	209	25	hypothesis	hypothesis	NOUN
ap-4889	209	26	to	to	PART
ap-4889	209	27	which	which	PRON
ap-4889	209	28	we	we	PRON
ap-4889	209	29	assign	assign	VERB
ap-4889	209	30	a	a	DET
ap-4889	209	31	binary	binary	ADJ
ap-4889	209	32	value(1	value(1	NOUN
ap-4889	209	33	or	or	CCONJ
ap-4889	209	34	0	0	NUM
ap-4889	209	35	)	)	PUNCT
ap-4889	209	36	.	.	PUNCT
ap-4889	210	1	the	the	DET
ap-4889	210	2	connections	connection	NOUN
ap-4889	210	3	represent	represent	VERB
ap-4889	210	4	constraints	constraint	NOUN
ap-4889	210	5	for	for	ADP
ap-4889	210	6	these	these	DET
ap-4889	210	7	hypotheses	hypothesis	NOUN
ap-4889	210	8	:	:	PUNCT
ap-4889	210	9	if	if	SCONJ
ap-4889	210	10	wij	wij	PROPN
ap-4889	210	11	is	be	AUX
ap-4889	210	12	negative	negative	ADJ
ap-4889	210	13	,	,	PUNCT
ap-4889	210	14	i	i	PRON
ap-4889	210	15	and	and	CCONJ
ap-4889	210	16	j	j	PROPN
ap-4889	210	17	should	should	AUX
ap-4889	210	18	not	not	PART
ap-4889	210	19	be	be	AUX
ap-4889	210	20	activated	activate	VERB
ap-4889	210	21	at	at	ADP
ap-4889	210	22	the	the	DET
ap-4889	210	23	same	same	ADJ
ap-4889	210	24	time	time	NOUN
ap-4889	210	25	to	to	PART
ap-4889	210	26	reduce	reduce	VERB
ap-4889	210	27	the	the	DET
ap-4889	210	28	rbm	rbm	PROPN
ap-4889	210	29	energy	energy	NOUN
ap-4889	210	30	.	.	PUNCT
ap-4889	211	1	but	but	CCONJ
ap-4889	211	2	,	,	PUNCT
ap-4889	211	3	if	if	SCONJ
ap-4889	211	4	the	the	DET
ap-4889	211	5	weight	weight	NOUN
ap-4889	211	6	wij	wij	NOUN
ap-4889	211	7	is	be	AUX
ap-4889	211	8	positive	positive	ADJ
ap-4889	211	9	,	,	PUNCT
ap-4889	211	10	then	then	ADV
ap-4889	211	11	the	the	DET
ap-4889	211	12	simultaneous	simultaneous	ADJ
ap-4889	211	13	activation	activation	NOUN
ap-4889	211	14	of	of	ADP
ap-4889	211	15	both	both	DET
ap-4889	211	16	units	unit	NOUN
ap-4889	211	17	reduces	reduce	VERB
ap-4889	211	18	the	the	DET
ap-4889	211	19	energy	energy	NOUN
ap-4889	211	20	.	.	PUNCT
ap-4889	212	1	to	to	PART
ap-4889	212	2	summarize	summarize	VERB
ap-4889	212	3	,	,	PUNCT
ap-4889	212	4	the	the	DET
ap-4889	212	5	energy	energy	NOUN
ap-4889	212	6	is	be	AUX
ap-4889	212	7	a	a	DET
ap-4889	212	8	function	function	NOUN
ap-4889	212	9	of	of	ADP
ap-4889	212	10	configuration	configuration	NOUN
ap-4889	212	11	,	,	PUNCT
ap-4889	212	12	which	which	PRON
ap-4889	212	13	is	be	AUX
ap-4889	212	14	dependent	dependent	ADJ
ap-4889	212	15	on	on	ADP
ap-4889	212	16	the	the	DET
ap-4889	212	17	constraints	constraint	NOUN
ap-4889	212	18	related	relate	VERB
ap-4889	212	19	to	to	ADP
ap-4889	212	20	the	the	DET
ap-4889	212	21	weights	weight	NOUN
ap-4889	212	22	.	.	PUNCT
ap-4889	213	1	this	this	DET
ap-4889	213	2	energy	energy	NOUN
ap-4889	213	3	function	function	NOUN
ap-4889	213	4	allows	allow	VERB
ap-4889	213	5	associating	associate	VERB
ap-4889	213	6	to	to	ADP
ap-4889	213	7	an	an	DET
ap-4889	213	8	rbm	rbm	NOUN
ap-4889	213	9	,	,	PUNCT
ap-4889	213	10	of	of	ADP
ap-4889	213	11	weight	weight	NOUN
ap-4889	213	12	w	w	PROPN
ap-4889	213	13	,	,	PUNCT
ap-4889	213	14	a	a	DET
ap-4889	213	15	probability	probability	NOUN
ap-4889	213	16	on	on	ADP
ap-4889	213	17	the	the	DET
ap-4889	213	18	(	(	PUNCT
ap-4889	213	19	v	v	NOUN
ap-4889	213	20	,	,	PUNCT
ap-4889	213	21	h	h	NOUN
ap-4889	213	22	)	)	PUNCT
ap-4889	213	23	configurations	configuration	NOUN
ap-4889	213	24	space	space	NOUN
ap-4889	213	25	:	:	PUNCT
ap-4889	213	26	pw(v	pw(v	NOUN
ap-4889	213	27	,	,	PUNCT
ap-4889	213	28	h	h	NOUN
ap-4889	213	29	)	)	PUNCT
ap-4889	213	30	=	=	SYM
ap-4889	213	31	e−energy(v	e−energy(v	PROPN
ap-4889	213	32	,	,	PUNCT
ap-4889	213	33	h	h	NOUN
ap-4889	213	34	)	)	PUNCT
ap-4889	213	35	z	z	NOUN
ap-4889	213	36	,	,	PUNCT
ap-4889	213	37	(	(	PUNCT
ap-4889	213	38	4	4	X
ap-4889	213	39	)	)	PUNCT
ap-4889	213	40	where	where	SCONJ
ap-4889	213	41	z	z	NOUN
ap-4889	213	42	is	be	AUX
ap-4889	213	43	a	a	DET
ap-4889	213	44	partition	partition	NOUN
ap-4889	213	45	function	function	NOUN
ap-4889	213	46	,	,	PUNCT
ap-4889	213	47	it	it	PRON
ap-4889	213	48	is	be	AUX
ap-4889	213	49	the	the	DET
ap-4889	213	50	sum	sum	NOUN
ap-4889	213	51	of	of	ADP
ap-4889	213	52	all	all	DET
ap-4889	213	53	possible	possible	ADJ
ap-4889	213	54	joined	joined	ADJ
ap-4889	213	55	configurations	configuration	NOUN
ap-4889	213	56	.	.	PUNCT
ap-4889	214	1	it	it	PRON
ap-4889	214	2	is	be	AUX
ap-4889	214	3	given	give	VERB
ap-4889	214	4	by	by	ADP
ap-4889	214	5	the	the	DET
ap-4889	214	6	following	follow	VERB
ap-4889	214	7	formula	formula	NOUN
ap-4889	214	8	:	:	PUNCT
ap-4889	214	9	z	z	X
ap-4889	214	10	=	=	PUNCT
ap-4889	214	11	∑	∑	PROPN
ap-4889	214	12	v	v	PROPN
ap-4889	214	13	,	,	PUNCT
ap-4889	214	14	h	h	PROPN
ap-4889	214	15	e−energy(v	e−energy(v	PROPN
ap-4889	214	16	,	,	PUNCT
ap-4889	214	17	h	h	NOUN
ap-4889	214	18	)	)	PUNCT
ap-4889	214	19	.	.	PUNCT
ap-4889	215	1	(	(	PUNCT
ap-4889	215	2	5	5	X
ap-4889	215	3	)	)	PUNCT
ap-4889	215	4	the	the	DET
ap-4889	215	5	activation	activation	NOUN
ap-4889	215	6	probability	probability	NOUN
ap-4889	215	7	of	of	ADP
ap-4889	215	8	the	the	DET
ap-4889	215	9	visible	visible	ADJ
ap-4889	215	10	or	or	CCONJ
ap-4889	215	11	hidden	hidden	ADJ
ap-4889	215	12	units	unit	NOUN
ap-4889	215	13	are	be	AUX
ap-4889	215	14	independent	independent	ADJ
ap-4889	215	15	from	from	ADP
ap-4889	215	16	each	each	DET
ap-4889	215	17	other	other	ADJ
ap-4889	215	18	.	.	PUNCT
ap-4889	216	1	let	let	AUX
ap-4889	216	2	sgm(t	sgm(t	PRON
ap-4889	216	3	)	)	PUNCT
ap-4889	216	4	be	be	AUX
ap-4889	216	5	the	the	DET
ap-4889	216	6	sigmoid	sigmoid	NOUN
ap-4889	216	7	function	function	NOUN
ap-4889	216	8	:	:	PUNCT
ap-4889	216	9	sgm(t	sgm(t	NOUN
ap-4889	216	10	)	)	PUNCT
ap-4889	216	11	=	=	SYM
ap-4889	216	12	1	1	NUM
ap-4889	216	13	1	1	NUM
ap-4889	216	14	+	+	NUM
ap-4889	216	15	e−t	e−t	NOUN
ap-4889	216	16	,	,	PUNCT
ap-4889	216	17	(	(	PUNCT
ap-4889	216	18	6	6	NUM
ap-4889	216	19	)	)	PUNCT
ap-4889	216	20	the	the	DET
ap-4889	216	21	conditional	conditional	ADJ
ap-4889	216	22	probabilities	probability	NOUN
ap-4889	216	23	for	for	ADP
ap-4889	216	24	an	an	DET
ap-4889	216	25	rbm	rbm	PROPN
ap-4889	216	26	are	be	AUX
ap-4889	216	27	given	give	VERB
ap-4889	216	28	by	by	ADP
ap-4889	216	29	:	:	PUNCT
ap-4889	216	30	∀i	∀i	NOUN
ap-4889	216	31	≤	≤	NOUN
ap-4889	216	32	r	r	NOUN
ap-4889	216	33	,	,	PUNCT
ap-4889	216	34	pw	pw	PROPN
ap-4889	216	35	(	(	PUNCT
ap-4889	216	36	hi	hi	INTJ
ap-4889	216	37	\	\	PROPN
ap-4889	216	38	v	v	NOUN
ap-4889	216	39	)	)	PUNCT
ap-4889	217	1	=	=	SYM
ap-4889	217	2	sgm	sgm	PROPN
ap-4889	217	3	(	(	PUNCT
ap-4889	217	4	∑	∑	PROPN
ap-4889	217	5	j	j	PROPN
ap-4889	217	6	wijvj	wijvj	PROPN
ap-4889	217	7	)	)	PUNCT
ap-4889	217	8	,	,	PUNCT
ap-4889	217	9	(	(	PUNCT
ap-4889	217	10	7	7	X
ap-4889	217	11	)	)	PUNCT
ap-4889	217	12	∀j	∀j	NOUN
ap-4889	217	13	≤	≤	PROPN
ap-4889	218	1	q	q	NOUN
ap-4889	218	2	,	,	PUNCT
ap-4889	218	3	pw	pw	PROPN
ap-4889	218	4	(	(	PUNCT
ap-4889	218	5	vj	vj	INTJ
ap-4889	218	6	\	\	PROPN
ap-4889	218	7	h	h	NOUN
ap-4889	218	8	)	)	PUNCT
ap-4889	218	9	=	=	SYM
ap-4889	218	10	sgm	sgm	PROPN
ap-4889	218	11	(	(	PUNCT
ap-4889	218	12	∑	∑	PUNCT
ap-4889	218	13	i	i	PRON
ap-4889	218	14	wijhi	wijhi	VERB
ap-4889	218	15	)	)	PUNCT
ap-4889	218	16	.	.	PUNCT
ap-4889	219	1	(	(	PUNCT
ap-4889	219	2	8)	8)	NUM
ap-4889	219	3	an	an	DET
ap-4889	219	4	rbm	rbm	NOUN
ap-4889	219	5	models	model	NOUN
ap-4889	219	6	the	the	DET
ap-4889	219	7	probability	probability	NOUN
ap-4889	219	8	of	of	ADP
ap-4889	219	9	an	an	DET
ap-4889	219	10	input	input	NOUN
ap-4889	219	11	v	v	NOUN
ap-4889	219	12	with	with	ADP
ap-4889	219	13	the	the	DET
ap-4889	219	14	joined	joined	ADJ
ap-4889	219	15	pw	pw	PROPN
ap-4889	219	16	(	(	PUNCT
ap-4889	219	17	v	v	NOUN
ap-4889	219	18	,	,	PUNCT
ap-4889	219	19	h	h	NOUN
ap-4889	219	20	)	)	PUNCT
ap-4889	219	21	.	.	PUNCT
ap-4889	220	1	we	we	PRON
ap-4889	220	2	use	use	VERB
ap-4889	220	3	the	the	DET
ap-4889	220	4	gibbs	gibbs	PROPN
ap-4889	220	5	sampling	sample	VERB
ap-4889	220	6	technique	technique	NOUN
ap-4889	220	7	to	to	PART
ap-4889	220	8	make	make	VERB
ap-4889	220	9	a	a	DET
ap-4889	220	10	random	random	ADJ
ap-4889	220	11	draw	draw	NOUN
ap-4889	220	12	from	from	ADP
ap-4889	220	13	the	the	DET
ap-4889	220	14	model	model	NOUN
ap-4889	220	15	to	to	PART
ap-4889	220	16	generate	generate	VERB
ap-4889	220	17	the	the	DET
ap-4889	220	18	configurations	configuration	NOUN
ap-4889	220	19	(	(	PUNCT
ap-4889	220	20	v	v	NOUN
ap-4889	220	21	,	,	PUNCT
ap-4889	220	22	h	h	NOUN
ap-4889	220	23	)	)	PUNCT
ap-4889	220	24	.	.	PUNCT
ap-4889	221	1	it	it	PRON
ap-4889	221	2	serves	serve	VERB
ap-4889	221	3	as	as	ADP
ap-4889	221	4	reliable	reliable	ADJ
ap-4889	221	5	examples	example	NOUN
ap-4889	221	6	of	of	ADP
ap-4889	221	7	inputs	input	NOUN
ap-4889	221	8	v.	v.	ADP
ap-4889	221	9	this	this	DET
ap-4889	221	10	technique	technique	NOUN
ap-4889	221	11	uses	use	VERB
ap-4889	221	12	the	the	DET
ap-4889	221	13	markov	markov	NOUN
ap-4889	221	14	chain	chain	NOUN
ap-4889	221	15	monte	monte	PROPN
ap-4889	221	16	carlo	carlo	PROPN
ap-4889	221	17	method	method	PROPN
ap-4889	221	18	,	,	PUNCT
ap-4889	221	19	which	which	PRON
ap-4889	221	20	consists	consist	VERB
ap-4889	221	21	in	in	ADP
ap-4889	221	22	a	a	DET
ap-4889	221	23	repeated	repeat	VERB
ap-4889	221	24	random	random	ADJ
ap-4889	221	25	draw	draw	NOUN
ap-4889	221	26	from	from	ADP
ap-4889	221	27	pw	pw	PROPN
ap-4889	221	28	(	(	PUNCT
ap-4889	221	29	h	h	NOUN
ap-4889	221	30	\	\	PROPN
ap-4889	221	31	v	v	NOUN
ap-4889	221	32	)	)	PUNCT
ap-4889	221	33	and	and	CCONJ
ap-4889	221	34	pw	pw	PROPN
ap-4889	221	35	(	(	PUNCT
ap-4889	221	36	v	v	NOUN
ap-4889	221	37	\	\	PROPN
ap-4889	221	38	h	h	NOUN
ap-4889	221	39	)	)	PUNCT
ap-4889	221	40	,	,	PUNCT
ap-4889	221	41	such	such	ADJ
ap-4889	221	42	that	that	SCONJ
ap-4889	221	43	the	the	DET
ap-4889	221	44	markov	markov	NOUN
ap-4889	221	45	chain	chain	NOUN
ap-4889	221	46	is	be	AUX
ap-4889	221	47	guaranteed	guarantee	VERB
ap-4889	221	48	to	to	PART
ap-4889	221	49	be	be	AUX
ap-4889	221	50	converged	converge	VERB
ap-4889	221	51	to	to	ADP
ap-4889	221	52	the	the	DET
ap-4889	221	53	pw	pw	NOUN
ap-4889	221	54	distribution	distribution	NOUN
ap-4889	221	55	.	.	PUNCT
ap-4889	222	1	in	in	ADP
ap-4889	222	2	summary	summary	NOUN
ap-4889	222	3	,	,	PUNCT
ap-4889	222	4	this	this	DET
ap-4889	222	5	distribution	distribution	NOUN
ap-4889	222	6	is	be	AUX
ap-4889	222	7	modelled	model	VERB
ap-4889	222	8	by	by	ADP
ap-4889	222	9	the	the	DET
ap-4889	222	10	rbm	rbm	PROPN
ap-4889	222	11	independently	independently	ADV
ap-4889	222	12	of	of	ADP
ap-4889	222	13	the	the	DET
ap-4889	222	14	inputs	input	NOUN
ap-4889	222	15	,	,	PUNCT
ap-4889	222	16	and	and	CCONJ
ap-4889	222	17	according	accord	VERB
ap-4889	222	18	to	to	ADP
ap-4889	222	19	it	it	PRON
ap-4889	222	20	we	we	PRON
ap-4889	222	21	can	can	AUX
ap-4889	222	22	make	make	VERB
ap-4889	222	23	a	a	DET
ap-4889	222	24	random	random	ADJ
ap-4889	222	25	draw	draw	NOUN
ap-4889	222	26	with	with	ADP
ap-4889	222	27	the	the	DET
ap-4889	222	28	gibbs	gibbs	PROPN
ap-4889	222	29	sampling	sampling	NOUN
ap-4889	222	30	method	method	NOUN
ap-4889	222	31	.	.	PUNCT
ap-4889	223	1	in	in	ADP
ap-4889	223	2	the	the	DET
ap-4889	223	3	training	training	NOUN
ap-4889	223	4	part	part	NOUN
ap-4889	223	5	,	,	PUNCT
ap-4889	223	6	we	we	PRON
ap-4889	223	7	define	define	VERB
ap-4889	223	8	pt	pt	NOUN
ap-4889	223	9	r	r	NOUN
ap-4889	223	10	as	as	ADP
ap-4889	223	11	the	the	DET
ap-4889	223	12	probability	probability	NOUN
ap-4889	223	13	distribution	distribution	NOUN
ap-4889	223	14	corresponding	correspond	VERB
ap-4889	223	15	to	to	ADP
ap-4889	223	16	the	the	DET
ap-4889	223	17	random	random	ADJ
ap-4889	223	18	draw	draw	NOUN
ap-4889	223	19	of	of	ADP
ap-4889	223	20	a	a	DET
ap-4889	223	21	sample	sample	NOUN
ap-4889	223	22	v	v	NOUN
ap-4889	223	23	from	from	ADP
ap-4889	223	24	a	a	DET
ap-4889	223	25	training	training	NOUN
ap-4889	223	26	database	database	NOUN
ap-4889	223	27	tr	tr	VERB
ap-4889	223	28	,	,	PUNCT
ap-4889	223	29	then	then	ADV
ap-4889	223	30	to	to	ADP
ap-4889	223	31	the	the	DET
ap-4889	223	32	random	random	ADJ
ap-4889	223	33	draw	draw	NOUN
ap-4889	223	34	of	of	ADP
ap-4889	223	35	a	a	DET
ap-4889	223	36	hidden	hide	VERB
ap-4889	223	37	representation	representation	NOUN
ap-4889	223	38	h	h	NOUN
ap-4889	223	39	,	,	PUNCT
ap-4889	223	40	which	which	PRON
ap-4889	223	41	is	be	AUX
ap-4889	223	42	associated	associate	VERB
ap-4889	223	43	to	to	ADP
ap-4889	223	44	v.	v.	ADP
ap-4889	223	45	pt	pt	PROPN
ap-4889	224	1	r	r	NOUN
ap-4889	224	2	is	be	AUX
ap-4889	224	3	the	the	DET
ap-4889	224	4	objective	objective	ADJ
ap-4889	224	5	distribution	distribution	NOUN
ap-4889	224	6	of	of	ADP
ap-4889	224	7	training	training	NOUN
ap-4889	224	8	,	,	PUNCT
ap-4889	224	9	it	it	PRON
ap-4889	224	10	is	be	AUX
ap-4889	224	11	fixed	fix	VERB
ap-4889	224	12	from	from	ADP
ap-4889	224	13	a	a	DET
ap-4889	224	14	sample	sample	NOUN
ap-4889	224	15	basis	basis	NOUN
ap-4889	224	16	.	.	PUNCT
ap-4889	225	1	having	having	AUX
ap-4889	225	2	defined	define	VERB
ap-4889	225	3	pw	pw	NOUN
ap-4889	225	4	and	and	CCONJ
ap-4889	225	5	pt	pt	X
ap-4889	225	6	r	r	NOUN
ap-4889	225	7	,	,	PUNCT
ap-4889	225	8	the	the	DET
ap-4889	225	9	training	training	NOUN
ap-4889	225	10	step	step	NOUN
ap-4889	225	11	will	will	AUX
ap-4889	225	12	minimize	minimize	VERB
ap-4889	225	13	the	the	DET
ap-4889	225	14	kullbackleibler	kullbackleibler	ADJ
ap-4889	225	15	divergence	divergence	NOUN
ap-4889	225	16	between	between	ADP
ap-4889	225	17	these	these	DET
ap-4889	225	18	two	two	NUM
ap-4889	225	19	distributions	distribution	NOUN
ap-4889	225	20	in	in	ADP
ap-4889	225	21	such	such	ADJ
ap-4889	225	22	way	way	NOUN
ap-4889	225	23	that	that	SCONJ
ap-4889	225	24	the	the	DET
ap-4889	225	25	probability	probability	NOUN
ap-4889	225	26	to	to	PART
ap-4889	225	27	draw	draw	VERB
ap-4889	225	28	a	a	DET
ap-4889	225	29	sample	sample	NOUN
ap-4889	225	30	v	v	NOUN
ap-4889	225	31	from	from	ADP
ap-4889	225	32	the	the	DET
ap-4889	225	33	examples	example	NOUN
ap-4889	225	34	approaches	approach	VERB
ap-4889	225	35	the	the	DET
ap-4889	225	36	probability	probability	NOUN
ap-4889	225	37	to	to	PART
ap-4889	225	38	generate	generate	VERB
ap-4889	225	39	it	it	PRON
ap-4889	225	40	from	from	ADP
ap-4889	225	41	the	the	DET
ap-4889	225	42	training	training	NOUN
ap-4889	225	43	rbm	rbm	NOUN
ap-4889	225	44	.	.	PUNCT
ap-4889	226	1	it	it	PRON
ap-4889	226	2	turns	turn	VERB
ap-4889	226	3	out	out	ADP
ap-4889	226	4	that	that	SCONJ
ap-4889	226	5	the	the	DET
ap-4889	226	6	kullbackleibler	kullbackleibler	PROPN
ap-4889	226	7	divergence	divergence	NOUN
ap-4889	226	8	minimization	minimization	NOUN
ap-4889	226	9	has	have	VERB
ap-4889	226	10	a	a	DET
ap-4889	226	11	very	very	ADV
ap-4889	226	12	high	high	ADJ
ap-4889	226	13	treatment	treatment	NOUN
ap-4889	226	14	cost	cost	NOUN
ap-4889	226	15	,	,	PUNCT
ap-4889	226	16	thus	thus	ADV
ap-4889	226	17	we	we	PRON
ap-4889	226	18	prefer	prefer	VERB
ap-4889	226	19	to	to	PART
ap-4889	226	20	minimize	minimize	VERB
ap-4889	226	21	an	an	DET
ap-4889	226	22	approximated	approximated	ADJ
ap-4889	226	23	criterion	criterion	NOUN
ap-4889	226	24	:	:	PUNCT
ap-4889	226	25	contrastive	contrastive	ADJ
ap-4889	226	26	divergence	divergence	NOUN
ap-4889	226	27	(	(	PUNCT
ap-4889	226	28	cd	cd	PROPN
ap-4889	226	29	)	)	PUNCT
ap-4889	226	30	.	.	PUNCT
ap-4889	227	1	this	this	DET
ap-4889	227	2	technique	technique	NOUN
ap-4889	227	3	was	be	AUX
ap-4889	227	4	developed	develop	VERB
ap-4889	227	5	by	by	ADP
ap-4889	227	6	geoffrey	geoffrey	PROPN
ap-4889	227	7	hinton	hinton	PROPN
ap-4889	227	8	in	in	ADP
ap-4889	227	9	2001	2001	NUM
ap-4889	227	10	.	.	PUNCT
ap-4889	228	1	the	the	DET
ap-4889	228	2	pioneering	pioneering	ADJ
ap-4889	228	3	paper	paper	NOUN
ap-4889	228	4	,	,	PUNCT
ap-4889	228	5	written	write	VERB
ap-4889	228	6	in	in	ADP
ap-4889	228	7	2002	2002	NUM
ap-4889	228	8	[	[	X
ap-4889	228	9	24	24	NUM
ap-4889	228	10	]	]	PUNCT
ap-4889	228	11	,	,	PUNCT
ap-4889	228	12	demonstrated	demonstrate	VERB
ap-4889	228	13	an	an	DET
ap-4889	228	14	improvement	improvement	NOUN
ap-4889	228	15	of	of	ADP
ap-4889	228	16	the	the	DET
ap-4889	228	17	handwritten	handwritten	ADJ
ap-4889	228	18	digit	digit	NOUN
ap-4889	228	19	recognition	recognition	NOUN
ap-4889	228	20	results	result	NOUN
ap-4889	228	21	(	(	PUNCT
ap-4889	228	22	dataset	dataset	NOUN
ap-4889	228	23	mnist	mnist	NOUN
ap-4889	228	24	)	)	PUNCT
ap-4889	228	25	by	by	ADP
ap-4889	228	26	using	use	VERB
ap-4889	228	27	a	a	DET
ap-4889	228	28	cd	cd	NOUN
ap-4889	228	29	algorithm	algorithm	NOUN
ap-4889	228	30	to	to	PART
ap-4889	228	31	train	train	NOUN
ap-4889	228	32	rbm	rbm	PROPN
ap-4889	228	33	.	.	PUNCT
ap-4889	229	1	3.4.2	3.4.2	NUM
ap-4889	229	2	.	.	PUNCT
ap-4889	230	1	deep	deep	ADJ
ap-4889	230	2	belief	belief	NOUN
ap-4889	230	3	network	network	NOUN
ap-4889	230	4	(	(	PUNCT
ap-4889	230	5	dbn	dbn	PROPN
ap-4889	230	6	)	)	PUNCT
ap-4889	230	7	the	the	DET
ap-4889	230	8	restricted	restrict	VERB
ap-4889	230	9	boltzmann	boltzmann	PROPN
ap-4889	230	10	machines	machine	NOUN
ap-4889	230	11	stacked	stack	VERB
ap-4889	230	12	in	in	ADP
ap-4889	230	13	a	a	DET
ap-4889	230	14	generative	generative	ADJ
ap-4889	230	15	way	way	NOUN
ap-4889	230	16	represents	represent	VERB
ap-4889	230	17	a	a	DET
ap-4889	230	18	particular	particular	ADJ
ap-4889	230	19	type	type	NOUN
ap-4889	230	20	of	of	ADP
ap-4889	230	21	a	a	DET
ap-4889	230	22	deep	deep	ADJ
ap-4889	230	23	neural	neural	ADJ
ap-4889	230	24	network	network	NOUN
ap-4889	230	25	,	,	PUNCT
ap-4889	230	26	the	the	DET
ap-4889	230	27	reason	reason	NOUN
ap-4889	230	28	why	why	SCONJ
ap-4889	230	29	we	we	PRON
ap-4889	230	30	detailed	detail	VERB
ap-4889	230	31	the	the	DET
ap-4889	230	32	rbm	rbm	PROPN
ap-4889	230	33	structure	structure	NOUN
ap-4889	230	34	previously	previously	ADV
ap-4889	230	35	.	.	PUNCT
ap-4889	231	1	the	the	DET
ap-4889	231	2	topology	topology	NOUN
ap-4889	231	3	of	of	ADP
ap-4889	231	4	such	such	ADJ
ap-4889	231	5	network	network	NOUN
ap-4889	231	6	is	be	AUX
ap-4889	231	7	presented	present	VERB
ap-4889	231	8	in	in	ADP
ap-4889	231	9	figure	figure	NOUN
ap-4889	231	10	10	10	NUM
ap-4889	231	11	.	.	PUNCT
ap-4889	232	1	the	the	DET
ap-4889	232	2	training	training	NOUN
ap-4889	232	3	of	of	ADP
ap-4889	232	4	the	the	DET
ap-4889	232	5	stacked	stack	VERB
ap-4889	232	6	rbm	rbm	PROPN
ap-4889	232	7	is	be	AUX
ap-4889	232	8	made	make	VERB
ap-4889	232	9	layer	layer	NOUN
ap-4889	232	10	by	by	ADP
ap-4889	232	11	layer	layer	NOUN
ap-4889	232	12	,	,	PUNCT
ap-4889	232	13	in	in	ADP
ap-4889	232	14	a	a	DET
ap-4889	232	15	greedy	greedy	ADJ
ap-4889	232	16	way	way	NOUN
ap-4889	232	17	.	.	PUNCT
ap-4889	233	1	a	a	DET
ap-4889	233	2	first	first	ADJ
ap-4889	233	3	rbm	rbm	PROPN
ap-4889	233	4	is	be	AUX
ap-4889	233	5	trained	train	VERB
ap-4889	233	6	on	on	ADP
ap-4889	233	7	the	the	DET
ap-4889	233	8	dataset	dataset	NOUN
ap-4889	233	9	of	of	ADP
ap-4889	233	10	samples	sample	NOUN
ap-4889	233	11	to	to	PART
ap-4889	233	12	minimize	minimize	VERB
ap-4889	233	13	the	the	DET
ap-4889	233	14	contrastive	contrastive	ADJ
ap-4889	233	15	divergence	divergence	NOUN
ap-4889	233	16	(	(	PUNCT
ap-4889	233	17	cd	cd	PROPN
ap-4889	233	18	)	)	PUNCT
ap-4889	233	19	.	.	PUNCT
ap-4889	234	1	then	then	ADV
ap-4889	234	2	,	,	PUNCT
ap-4889	234	3	each	each	PRON
ap-4889	234	4	of	of	ADP
ap-4889	234	5	the	the	DET
ap-4889	234	6	following	follow	VERB
ap-4889	234	7	rbm	rbm	PROPN
ap-4889	234	8	makes	make	VERB
ap-4889	234	9	its	its	PRON
ap-4889	234	10	training	training	NOUN
ap-4889	234	11	on	on	ADP
ap-4889	234	12	the	the	DET
ap-4889	234	13	hidden	hide	VERB
ap-4889	234	14	representations	representation	NOUN
ap-4889	234	15	of	of	ADP
ap-4889	234	16	the	the	DET
ap-4889	234	17	previous	previous	ADJ
ap-4889	234	18	rbm	rbm	PROPN
ap-4889	234	19	.	.	PUNCT
ap-4889	235	1	the	the	DET
ap-4889	235	2	training	training	NOUN
ap-4889	235	3	process	process	NOUN
ap-4889	235	4	includes	include	VERB
ap-4889	235	5	two	two	NUM
ap-4889	235	6	phases	phase	NOUN
ap-4889	235	7	:	:	PUNCT
ap-4889	235	8	303	303	NUM
ap-4889	235	9	benbakreti	benbakreti	ADJ
ap-4889	235	10	samir	samir	NOUN
ap-4889	235	11	,	,	PUNCT
ap-4889	235	12	aoued	aoued	PROPN
ap-4889	235	13	boukelif	boukelif	PROPN
ap-4889	235	14	acta	acta	PROPN
ap-4889	235	15	polytechnica	polytechnica	PROPN
ap-4889	235	16	v	v	NOUN
ap-4889	235	17	=	=	SYM
ap-4889	235	18	input	input	NOUN
ap-4889	235	19	h1	h1	PROPN
ap-4889	235	20	h2	h2	PROPN
ap-4889	235	21	rbm	rbm	PROPN
ap-4889	235	22	r2	r2	PROPN
ap-4889	235	23	rbm	rbm	PROPN
ap-4889	235	24	r1	r1	PROPN
ap-4889	235	25	stacked	stack	VERB
ap-4889	235	26	rbms	rbms	ADJ
ap-4889	235	27	figure	figure	NOUN
ap-4889	235	28	10	10	NUM
ap-4889	235	29	.	.	PUNCT
ap-4889	236	1	a	a	DET
ap-4889	236	2	deep	deep	ADJ
ap-4889	236	3	network	network	NOUN
ap-4889	236	4	topology	topology	NOUN
ap-4889	236	5	:	:	PUNCT
ap-4889	236	6	stacked	stacked	PROPN
ap-4889	236	7	rbm	rbm	PROPN
ap-4889	236	8	.	.	PUNCT
ap-4889	237	1	(	(	PUNCT
ap-4889	237	2	1	1	NUM
ap-4889	237	3	.	.	PUNCT
ap-4889	237	4	)	)	PUNCT
ap-4889	237	5	unsupervised	unsupervised	ADJ
ap-4889	237	6	pre	pre	ADJ
ap-4889	237	7	-	-	NOUN
ap-4889	237	8	training	training	NOUN
ap-4889	237	9	:	:	PUNCT
ap-4889	237	10	the	the	DET
ap-4889	237	11	dbn	dbn	PROPN
ap-4889	237	12	distinguishes	distinguish	VERB
ap-4889	237	13	itself	itself	PRON
ap-4889	237	14	from	from	ADP
ap-4889	237	15	the	the	DET
ap-4889	237	16	other	other	ADJ
ap-4889	237	17	neural	neural	ADJ
ap-4889	237	18	networks	network	NOUN
ap-4889	237	19	by	by	ADP
ap-4889	237	20	the	the	DET
ap-4889	237	21	way	way	NOUN
ap-4889	237	22	of	of	ADP
ap-4889	237	23	learning	learn	VERB
ap-4889	237	24	layer	layer	NOUN
ap-4889	237	25	-	-	PUNCT
ap-4889	237	26	by	by	ADP
ap-4889	237	27	-	-	PUNCT
ap-4889	237	28	layer	layer	NOUN
ap-4889	237	29	,	,	PUNCT
ap-4889	237	30	the	the	DET
ap-4889	237	31	idea	idea	NOUN
ap-4889	237	32	is	be	AUX
ap-4889	237	33	to	to	PART
ap-4889	237	34	train	train	VERB
ap-4889	237	35	every	every	DET
ap-4889	237	36	layer	layer	NOUN
ap-4889	237	37	as	as	ADP
ap-4889	237	38	an	an	DET
ap-4889	237	39	rbm	rbm	NOUN
ap-4889	237	40	.	.	PUNCT
ap-4889	238	1	the	the	DET
ap-4889	238	2	training	training	NOUN
ap-4889	238	3	begins	begin	VERB
ap-4889	238	4	from	from	ADP
ap-4889	238	5	the	the	DET
ap-4889	238	6	lowest	low	ADJ
ap-4889	238	7	hidden	hide	VERB
ap-4889	238	8	layers	layer	NOUN
ap-4889	238	9	(	(	PUNCT
ap-4889	238	10	close	close	ADJ
ap-4889	238	11	to	to	ADP
ap-4889	238	12	the	the	DET
ap-4889	238	13	visible	visible	ADJ
ap-4889	238	14	input	input	NOUN
ap-4889	238	15	vector	vector	NOUN
ap-4889	238	16	)	)	PUNCT
ap-4889	238	17	and	and	CCONJ
ap-4889	238	18	progresses	progress	NOUN
ap-4889	238	19	to	to	ADP
ap-4889	238	20	the	the	DET
ap-4889	238	21	output	output	NOUN
ap-4889	238	22	vector	vector	NOUN
ap-4889	238	23	,	,	PUNCT
ap-4889	238	24	so	so	SCONJ
ap-4889	238	25	a	a	DET
ap-4889	238	26	dbn	dbn	PROPN
ap-4889	238	27	learns	learn	VERB
ap-4889	238	28	to	to	PART
ap-4889	238	29	probabilistically	probabilistically	ADV
ap-4889	238	30	reconstruct	reconstruct	VERB
ap-4889	238	31	its	its	PRON
ap-4889	238	32	inputs	input	NOUN
ap-4889	238	33	.	.	PUNCT
ap-4889	239	1	the	the	DET
ap-4889	239	2	layers	layer	NOUN
ap-4889	239	3	then	then	ADV
ap-4889	239	4	act	act	VERB
ap-4889	239	5	as	as	ADP
ap-4889	239	6	feature	feature	NOUN
ap-4889	239	7	detectors	detector	NOUN
ap-4889	239	8	.	.	PUNCT
ap-4889	240	1	the	the	DET
ap-4889	240	2	dbn	dbn	PROPN
ap-4889	240	3	training	training	NOUN
ap-4889	240	4	algorithm	algorithm	NOUN
ap-4889	240	5	for	for	ADP
ap-4889	240	6	each	each	DET
ap-4889	240	7	rbm	rbm	NOUN
ap-4889	240	8	layer	layer	NOUN
ap-4889	240	9	is	be	AUX
ap-4889	240	10	presented	present	VERB
ap-4889	240	11	as	as	SCONJ
ap-4889	240	12	follows	follow	VERB
ap-4889	240	13	:	:	PUNCT
ap-4889	240	14	step	step	NOUN
ap-4889	240	15	1	1	NUM
ap-4889	240	16	:	:	PUNCT
ap-4889	240	17	build	build	VERB
ap-4889	240	18	a	a	DET
ap-4889	240	19	multilayer	multilayer	ADJ
ap-4889	240	20	network	network	NOUN
ap-4889	240	21	from	from	ADP
ap-4889	240	22	the	the	DET
ap-4889	240	23	restricted	restricted	ADJ
ap-4889	240	24	boltzmann	boltzmann	PROPN
ap-4889	240	25	machines	machine	NOUN
ap-4889	240	26	(	(	PUNCT
ap-4889	240	27	rbm	rbm	PROPN
ap-4889	240	28	)	)	PUNCT
ap-4889	240	29	,	,	PUNCT
ap-4889	240	30	then	then	ADV
ap-4889	240	31	train	train	VERB
ap-4889	240	32	the	the	DET
ap-4889	240	33	layers	layer	NOUN
ap-4889	240	34	by	by	ADP
ap-4889	240	35	the	the	DET
ap-4889	240	36	greedy	greedy	ADJ
ap-4889	240	37	-	-	ADJ
ap-4889	240	38	wise	wise	ADJ
ap-4889	240	39	algorithm	algorithm	NOUN
ap-4889	240	40	.	.	PUNCT
ap-4889	241	1	naturally	naturally	ADV
ap-4889	241	2	,	,	PUNCT
ap-4889	241	3	the	the	DET
ap-4889	241	4	input	input	NOUN
ap-4889	241	5	vector	vector	NOUN
ap-4889	241	6	is	be	AUX
ap-4889	241	7	the	the	DET
ap-4889	241	8	visible	visible	ADJ
ap-4889	241	9	layer	layer	NOUN
ap-4889	241	10	v.	v.	ADP
ap-4889	241	11	step	step	NOUN
ap-4889	241	12	2	2	NUM
ap-4889	241	13	:	:	PUNCT
ap-4889	241	14	encode	encode	ADJ
ap-4889	241	15	x	x	PUNCT
ap-4889	241	16	as	as	SCONJ
ap-4889	241	17	an	an	DET
ap-4889	241	18	rbm	rbm	NOUN
ap-4889	241	19	to	to	PART
ap-4889	241	20	produce	produce	VERB
ap-4889	241	21	a	a	DET
ap-4889	241	22	new	new	ADJ
ap-4889	241	23	sample	sample	NOUN
ap-4889	241	24	v′	v′	NOUN
ap-4889	241	25	,	,	PUNCT
ap-4889	241	26	by	by	ADP
ap-4889	241	27	using	use	VERB
ap-4889	241	28	the	the	DET
ap-4889	241	29	gibbs	gibbs	PROPN
ap-4889	241	30	sampling	sampling	NOUN
ap-4889	241	31	method	method	NOUN
ap-4889	241	32	.	.	PUNCT
ap-4889	242	1	step	step	NOUN
ap-4889	242	2	3	3	NUM
ap-4889	242	3	:	:	PUNCT
ap-4889	242	4	repeat	repeat	VERB
ap-4889	242	5	the	the	DET
ap-4889	242	6	second	second	ADJ
ap-4889	242	7	step	step	NOUN
ap-4889	242	8	with	with	ADP
ap-4889	242	9	v	v	NOUN
ap-4889	242	10	←−	←−	ADJ
ap-4889	242	11	v′	v′	NOUN
ap-4889	242	12	for	for	ADP
ap-4889	242	13	each	each	DET
ap-4889	242	14	two	two	NUM
ap-4889	242	15	successive	successive	ADJ
ap-4889	242	16	layers	layer	NOUN
ap-4889	242	17	until	until	SCONJ
ap-4889	242	18	the	the	DET
ap-4889	242	19	two	two	NUM
ap-4889	242	20	top	top	ADJ
ap-4889	242	21	layers	layer	NOUN
ap-4889	242	22	of	of	ADP
ap-4889	242	23	the	the	DET
ap-4889	242	24	network	network	NOUN
ap-4889	242	25	are	be	AUX
ap-4889	242	26	reached	reach	VERB
ap-4889	242	27	.	.	PUNCT
ap-4889	243	1	(	(	PUNCT
ap-4889	243	2	2	2	NUM
ap-4889	243	3	.	.	PUNCT
ap-4889	243	4	)	)	PUNCT
ap-4889	243	5	supervising	supervise	VERB
ap-4889	243	6	training	training	NOUN
ap-4889	243	7	:	:	PUNCT
ap-4889	243	8	the	the	DET
ap-4889	243	9	use	use	NOUN
ap-4889	243	10	of	of	ADP
ap-4889	243	11	a	a	DET
ap-4889	243	12	supervised	supervised	ADJ
ap-4889	243	13	algorithm	algorithm	NOUN
ap-4889	243	14	like	like	ADP
ap-4889	243	15	back	back	NOUN
ap-4889	243	16	-	-	PUNCT
ap-4889	243	17	propagation	propagation	NOUN
ap-4889	243	18	algorithm	algorithm	NOUN
ap-4889	243	19	in	in	ADP
ap-4889	243	20	mlp	mlp	NOUN
ap-4889	243	21	that	that	PRON
ap-4889	243	22	helps	help	VERB
ap-4889	243	23	to	to	PART
ap-4889	243	24	search	search	VERB
ap-4889	243	25	the	the	DET
ap-4889	243	26	optimal	optimal	ADJ
ap-4889	243	27	parameters	parameter	NOUN
ap-4889	243	28	of	of	ADP
ap-4889	243	29	the	the	DET
ap-4889	243	30	dbn	dbn	PROPN
ap-4889	243	31	network	network	NOUN
ap-4889	243	32	.	.	PUNCT
ap-4889	244	1	nevertheless	nevertheless	ADV
ap-4889	244	2	,	,	PUNCT
ap-4889	244	3	we	we	PRON
ap-4889	244	4	use	use	VERB
ap-4889	244	5	the	the	DET
ap-4889	244	6	weight	weight	NOUN
ap-4889	244	7	w	w	NOUN
ap-4889	244	8	and	and	CCONJ
ap-4889	244	9	the	the	DET
ap-4889	244	10	hidden	hidden	ADJ
ap-4889	244	11	bias	bias	NOUN
ap-4889	244	12	b	b	NOUN
ap-4889	244	13	parameters	parameter	NOUN
ap-4889	244	14	to	to	PART
ap-4889	244	15	initialize	initialize	VERB
ap-4889	244	16	this	this	DET
ap-4889	244	17	mlp	mlp	NOUN
ap-4889	244	18	.	.	PUNCT
ap-4889	245	1	in	in	ADP
ap-4889	245	2	[	[	X
ap-4889	245	3	13	13	NUM
ap-4889	245	4	]	]	PUNCT
ap-4889	245	5	,	,	PUNCT
ap-4889	245	6	several	several	ADJ
ap-4889	245	7	experiments	experiment	NOUN
ap-4889	245	8	were	be	AUX
ap-4889	245	9	performed	perform	VERB
ap-4889	245	10	on	on	ADP
ap-4889	245	11	different	different	ADJ
ap-4889	245	12	networks	network	NOUN
ap-4889	245	13	,	,	PUNCT
ap-4889	245	14	trained	train	VERB
ap-4889	245	15	for	for	ADP
ap-4889	245	16	simple	simple	ADJ
ap-4889	245	17	classification	classification	NOUN
ap-4889	245	18	tasks	task	NOUN
ap-4889	245	19	(	(	PUNCT
ap-4889	245	20	handwritten	handwritten	ADJ
ap-4889	245	21	digit	digit	NOUN
ap-4889	245	22	,	,	PUNCT
ap-4889	245	23	geometrical	geometrical	ADJ
ap-4889	245	24	forms	form	NOUN
ap-4889	245	25	)	)	PUNCT
ap-4889	245	26	.	.	PUNCT
ap-4889	246	1	the	the	DET
ap-4889	246	2	conclusions	conclusion	NOUN
ap-4889	246	3	of	of	ADP
ap-4889	246	4	this	this	DET
ap-4889	246	5	reference	reference	NOUN
ap-4889	246	6	paper	paper	NOUN
ap-4889	246	7	are	be	AUX
ap-4889	246	8	that	that	SCONJ
ap-4889	246	9	training	train	VERB
ap-4889	246	10	deep	deep	ADJ
ap-4889	246	11	architectures	architecture	NOUN
ap-4889	246	12	was	be	AUX
ap-4889	246	13	unsuccessful	unsuccessful	ADJ
ap-4889	246	14	until	until	ADP
ap-4889	246	15	the	the	DET
ap-4889	246	16	recent	recent	ADJ
ap-4889	246	17	advent	advent	NOUN
ap-4889	246	18	of	of	ADP
ap-4889	246	19	algorithms	algorithm	NOUN
ap-4889	246	20	based	base	VERB
ap-4889	246	21	on	on	ADP
ap-4889	246	22	an	an	DET
ap-4889	246	23	unsupervised	unsupervised	ADJ
ap-4889	246	24	pretraining	pretraining	NOUN
ap-4889	246	25	.	.	PUNCT
ap-4889	247	1	the	the	DET
ap-4889	247	2	concept	concept	NOUN
ap-4889	247	3	of	of	ADP
ap-4889	247	4	deep	deep	ADJ
ap-4889	247	5	learning	learning	NOUN
ap-4889	247	6	does	do	AUX
ap-4889	247	7	not	not	PART
ap-4889	247	8	mean	mean	VERB
ap-4889	247	9	that	that	SCONJ
ap-4889	247	10	the	the	DET
ap-4889	247	11	number	number	NOUN
ap-4889	247	12	of	of	ADP
ap-4889	247	13	layers	layer	NOUN
ap-4889	247	14	is	be	AUX
ap-4889	247	15	high	high	ADJ
ap-4889	247	16	,	,	PUNCT
ap-4889	247	17	it	it	PRON
ap-4889	247	18	is	be	AUX
ap-4889	247	19	rather	rather	ADV
ap-4889	247	20	the	the	DET
ap-4889	247	21	way	way	NOUN
ap-4889	247	22	of	of	ADP
ap-4889	247	23	learning	learn	VERB
ap-4889	247	24	that	that	PRON
ap-4889	247	25	is	be	AUX
ap-4889	247	26	a	a	DET
ap-4889	247	27	different	different	ADJ
ap-4889	247	28	(	(	PUNCT
ap-4889	247	29	layer	layer	NOUN
ap-4889	247	30	by	by	ADP
ap-4889	247	31	layer	layer	NOUN
ap-4889	247	32	)	)	PUNCT
ap-4889	247	33	method	method	NOUN
ap-4889	247	34	that	that	SCONJ
ap-4889	247	35	database	database	NOUN
ap-4889	247	36	number	number	NOUN
ap-4889	247	37	classes	class	VERB
ap-4889	247	38	writers	writer	VERB
ap-4889	247	39	sample	sample	NOUN
ap-4889	247	40	of	of	ADP
ap-4889	247	41	training/	training/	NUM
ap-4889	247	42	test	test	NOUN
ap-4889	247	43	class	class	NOUN
ap-4889	247	44	letters	letter	NOUN
ap-4889	247	45	28	28	NUM
ap-4889	247	46	20	20	NUM
ap-4889	247	47	1400/1400	1400/1400	NUM
ap-4889	247	48	class	class	NOUN
ap-4889	247	49	word	word	NOUN
ap-4889	247	50	48	48	NUM
ap-4889	247	51	20	20	NUM
ap-4889	247	52	2400/2400	2400/2400	NUM
ap-4889	247	53	table	table	NOUN
ap-4889	247	54	1	1	NUM
ap-4889	247	55	.	.	PUNCT
ap-4889	247	56	description	description	NOUN
ap-4889	247	57	of	of	ADP
ap-4889	247	58	the	the	DET
ap-4889	247	59	database	database	NOUN
ap-4889	247	60	.	.	PUNCT
ap-4889	247	61	has	have	AUX
ap-4889	247	62	been	be	AUX
ap-4889	247	63	applied	apply	VERB
ap-4889	247	64	in	in	ADP
ap-4889	247	65	our	our	PRON
ap-4889	247	66	work	work	NOUN
ap-4889	247	67	with	with	ADP
ap-4889	247	68	the	the	DET
ap-4889	247	69	dbn	dbn	PROPN
ap-4889	247	70	network	network	NOUN
ap-4889	247	71	.	.	PUNCT
ap-4889	248	1	we	we	PRON
ap-4889	248	2	deduce	deduce	VERB
ap-4889	248	3	from	from	ADP
ap-4889	248	4	these	these	DET
ap-4889	248	5	works	work	NOUN
ap-4889	248	6	that	that	SCONJ
ap-4889	248	7	if	if	SCONJ
ap-4889	248	8	the	the	DET
ap-4889	248	9	network	network	NOUN
ap-4889	248	10	contains	contain	VERB
ap-4889	248	11	enough	enough	ADJ
ap-4889	248	12	number	number	NOUN
ap-4889	248	13	of	of	ADP
ap-4889	248	14	neurons	neuron	NOUN
ap-4889	248	15	,	,	PUNCT
ap-4889	248	16	the	the	DET
ap-4889	248	17	classification	classification	NOUN
ap-4889	248	18	performances	performance	NOUN
ap-4889	248	19	are	be	AUX
ap-4889	248	20	better	well	ADJ
ap-4889	248	21	with	with	ADP
ap-4889	248	22	an	an	DET
ap-4889	248	23	unsupervised	unsupervised	ADJ
ap-4889	248	24	training	training	NOUN
ap-4889	248	25	.	.	PUNCT
ap-4889	249	1	even	even	ADV
ap-4889	249	2	on	on	ADP
ap-4889	249	3	classical	classical	ADJ
ap-4889	249	4	networks	network	NOUN
ap-4889	249	5	(	(	PUNCT
ap-4889	249	6	not	not	PART
ap-4889	249	7	deep	deep	ADJ
ap-4889	249	8	)	)	PUNCT
ap-4889	249	9	,	,	PUNCT
ap-4889	249	10	the	the	DET
ap-4889	249	11	performances	performance	NOUN
ap-4889	249	12	are	be	AUX
ap-4889	249	13	improved	improve	VERB
ap-4889	249	14	.	.	PUNCT
ap-4889	250	1	in	in	ADP
ap-4889	250	2	our	our	PRON
ap-4889	250	3	current	current	ADJ
ap-4889	250	4	work	work	NOUN
ap-4889	250	5	,	,	PUNCT
ap-4889	250	6	we	we	PRON
ap-4889	250	7	suggest	suggest	VERB
ap-4889	250	8	the	the	DET
ap-4889	250	9	use	use	NOUN
ap-4889	250	10	of	of	ADP
ap-4889	250	11	all	all	DET
ap-4889	250	12	the	the	DET
ap-4889	250	13	neural	neural	ADJ
ap-4889	250	14	architectures	architecture	NOUN
ap-4889	250	15	described	describe	VERB
ap-4889	250	16	previously	previously	ADV
ap-4889	250	17	for	for	ADP
ap-4889	250	18	the	the	DET
ap-4889	250	19	on	on	ADP
ap-4889	250	20	-	-	PUNCT
ap-4889	250	21	line	line	NOUN
ap-4889	250	22	arabic	arabic	ADJ
ap-4889	250	23	handwriting	handwriting	NOUN
ap-4889	250	24	recognition	recognition	NOUN
ap-4889	250	25	without	without	ADP
ap-4889	250	26	constraint	constraint	NOUN
ap-4889	250	27	(	(	PUNCT
ap-4889	250	28	letters	letter	NOUN
ap-4889	250	29	and	and	CCONJ
ap-4889	250	30	words	word	NOUN
ap-4889	250	31	)	)	PUNCT
ap-4889	250	32	.	.	PUNCT
ap-4889	251	1	we	we	PRON
ap-4889	251	2	also	also	ADV
ap-4889	251	3	observe	observe	VERB
ap-4889	251	4	how	how	SCONJ
ap-4889	251	5	the	the	DET
ap-4889	251	6	dbn	dbn	PROPN
ap-4889	251	7	manages	manage	VERB
ap-4889	251	8	to	to	PART
ap-4889	251	9	discriminate	discriminate	VERB
ap-4889	251	10	between	between	ADP
ap-4889	251	11	the	the	DET
ap-4889	251	12	data	datum	NOUN
ap-4889	251	13	without	without	ADP
ap-4889	251	14	having	have	VERB
ap-4889	251	15	a	a	DET
ap-4889	251	16	prior	prior	ADJ
ap-4889	251	17	information	information	NOUN
ap-4889	251	18	and	and	CCONJ
ap-4889	251	19	without	without	ADP
ap-4889	251	20	making	make	VERB
ap-4889	251	21	the	the	DET
ap-4889	251	22	feature	feature	NOUN
ap-4889	251	23	extraction	extraction	NOUN
ap-4889	251	24	.	.	PUNCT
ap-4889	252	1	in	in	ADP
ap-4889	252	2	this	this	DET
ap-4889	252	3	classifier	classifier	NOUN
ap-4889	252	4	,	,	PUNCT
ap-4889	252	5	the	the	DET
ap-4889	252	6	complexity	complexity	NOUN
ap-4889	252	7	resides	reside	VERB
ap-4889	252	8	in	in	ADP
ap-4889	252	9	the	the	DET
ap-4889	252	10	choice	choice	NOUN
ap-4889	252	11	of	of	ADP
ap-4889	252	12	the	the	DET
ap-4889	252	13	hyper	hyper	NOUN
ap-4889	252	14	-	-	NOUN
ap-4889	252	15	parameters	parameter	NOUN
ap-4889	252	16	of	of	ADP
ap-4889	252	17	the	the	DET
ap-4889	252	18	algorithm	algorithm	PROPN
ap-4889	252	19	cd	cd	PROPN
ap-4889	252	20	,	,	PUNCT
ap-4889	252	21	this	this	DET
ap-4889	252	22	heuristic	heuristic	ADJ
ap-4889	252	23	choice	choice	NOUN
ap-4889	252	24	requires	require	VERB
ap-4889	252	25	many	many	ADJ
ap-4889	252	26	experiments	experiment	NOUN
ap-4889	252	27	to	to	PART
ap-4889	252	28	find	find	VERB
ap-4889	252	29	the	the	DET
ap-4889	252	30	optimal	optimal	ADJ
ap-4889	252	31	architecture	architecture	NOUN
ap-4889	252	32	,	,	PUNCT
ap-4889	252	33	giving	give	VERB
ap-4889	252	34	the	the	DET
ap-4889	252	35	best	good	ADJ
ap-4889	252	36	rates	rate	NOUN
ap-4889	252	37	of	of	ADP
ap-4889	252	38	classification	classification	NOUN
ap-4889	252	39	.	.	PUNCT
ap-4889	253	1	4	4	X
ap-4889	253	2	.	.	X
ap-4889	253	3	description	description	NOUN
ap-4889	253	4	of	of	ADP
ap-4889	253	5	the	the	DET
ap-4889	253	6	database	database	NOUN
ap-4889	253	7	the	the	DET
ap-4889	253	8	objective	objective	NOUN
ap-4889	253	9	of	of	ADP
ap-4889	253	10	the	the	DET
ap-4889	253	11	architectures	architecture	NOUN
ap-4889	253	12	described	describe	VERB
ap-4889	253	13	previously	previously	ADV
ap-4889	253	14	is	be	AUX
ap-4889	253	15	the	the	DET
ap-4889	253	16	classification	classification	NOUN
ap-4889	253	17	and	and	CCONJ
ap-4889	253	18	the	the	DET
ap-4889	253	19	recognition	recognition	NOUN
ap-4889	253	20	of	of	ADP
ap-4889	253	21	arabic	arabic	ADJ
ap-4889	253	22	characters	character	NOUN
ap-4889	253	23	/	/	SYM
ap-4889	253	24	words	word	NOUN
ap-4889	253	25	coming	come	VERB
ap-4889	253	26	from	from	ADP
ap-4889	253	27	our	our	PRON
ap-4889	253	28	database	database	NOUN
ap-4889	253	29	noundatabase	noundatabase	NOUN
ap-4889	253	30	built	build	VERB
ap-4889	253	31	from	from	ADP
ap-4889	253	32	an	an	DET
ap-4889	253	33	on	on	ADP
ap-4889	253	34	-	-	PUNCT
ap-4889	253	35	line	line	NOUN
ap-4889	253	36	acquisition	acquisition	NOUN
ap-4889	253	37	by	by	ADP
ap-4889	253	38	means	mean	NOUN
ap-4889	253	39	of	of	ADP
ap-4889	253	40	a	a	DET
ap-4889	253	41	tablet	tablet	NOUN
ap-4889	253	42	of	of	ADP
ap-4889	253	43	acquisition	acquisition	NOUN
ap-4889	253	44	.	.	PUNCT
ap-4889	254	1	this	this	DET
ap-4889	254	2	choice	choice	NOUN
ap-4889	254	3	is	be	AUX
ap-4889	254	4	motivated	motivate	VERB
ap-4889	254	5	by	by	ADP
ap-4889	254	6	the	the	DET
ap-4889	254	7	fact	fact	NOUN
ap-4889	254	8	that	that	SCONJ
ap-4889	254	9	most	most	ADJ
ap-4889	254	10	of	of	ADP
ap-4889	254	11	the	the	DET
ap-4889	254	12	existing	exist	VERB
ap-4889	254	13	databases	database	NOUN
ap-4889	254	14	are	be	AUX
ap-4889	254	15	off	off	ADP
ap-4889	254	16	-	-	PUNCT
ap-4889	254	17	line	line	NOUN
ap-4889	254	18	i.e.	i.e.	X
ap-4889	254	19	,containing	,containing	PUNCT
ap-4889	254	20	images	image	NOUN
ap-4889	254	21	.	.	PUNCT
ap-4889	255	1	in	in	ADP
ap-4889	255	2	this	this	DET
ap-4889	255	3	work	work	NOUN
ap-4889	255	4	,	,	PUNCT
ap-4889	255	5	we	we	PRON
ap-4889	255	6	wanted	want	VERB
ap-4889	255	7	to	to	PART
ap-4889	255	8	handle	handle	VERB
ap-4889	255	9	the	the	DET
ap-4889	255	10	on	on	ADP
ap-4889	255	11	-	-	PUNCT
ap-4889	255	12	line	line	NOUN
ap-4889	255	13	writing	writing	NOUN
ap-4889	255	14	signal	signal	NOUN
ap-4889	255	15	rather	rather	ADV
ap-4889	255	16	than	than	ADP
ap-4889	255	17	the	the	DET
ap-4889	255	18	images	image	NOUN
ap-4889	255	19	.	.	PUNCT
ap-4889	256	1	the	the	DET
ap-4889	256	2	arabic	arabic	ADJ
ap-4889	256	3	alphabet	alphabet	NOUN
ap-4889	256	4	consists	consist	VERB
ap-4889	256	5	of	of	ADP
ap-4889	256	6	28	28	NUM
ap-4889	256	7	letters	letter	NOUN
ap-4889	256	8	of	of	ADP
ap-4889	256	9	variable	variable	ADJ
ap-4889	256	10	shapes	shape	NOUN
ap-4889	256	11	depending	depend	VERB
ap-4889	256	12	on	on	ADP
ap-4889	256	13	its	its	PRON
ap-4889	256	14	position	position	NOUN
ap-4889	256	15	in	in	ADP
ap-4889	256	16	the	the	DET
ap-4889	256	17	word	word	NOUN
ap-4889	256	18	.	.	PUNCT
ap-4889	257	1	our	our	PRON
ap-4889	257	2	database	database	NOUN
ap-4889	257	3	contains	contain	VERB
ap-4889	257	4	2800	2800	NUM
ap-4889	257	5	arabic	arabic	ADJ
ap-4889	257	6	characters	character	NOUN
ap-4889	257	7	written	write	VERB
ap-4889	257	8	by	by	ADP
ap-4889	257	9	20	20	NUM
ap-4889	257	10	different	different	ADJ
ap-4889	257	11	writers	writer	NOUN
ap-4889	257	12	,	,	PUNCT
ap-4889	257	13	each	each	DET
ap-4889	257	14	writer	writer	NOUN
ap-4889	257	15	inserts	insert	VERB
ap-4889	257	16	the	the	DET
ap-4889	257	17	alphabet	alphabet	NOUN
ap-4889	257	18	5	5	NUM
ap-4889	257	19	times	time	NOUN
ap-4889	257	20	(	(	PUNCT
ap-4889	257	21	once	once	ADV
ap-4889	257	22	for	for	ADP
ap-4889	257	23	every	every	DET
ap-4889	257	24	position	position	NOUN
ap-4889	257	25	in	in	ADP
ap-4889	257	26	the	the	DET
ap-4889	257	27	word	word	NOUN
ap-4889	257	28	:	:	PUNCT
ap-4889	257	29	in	in	ADP
ap-4889	257	30	its	its	PRON
ap-4889	257	31	isolated	isolated	ADJ
ap-4889	257	32	form	form	NOUN
ap-4889	257	33	,	,	PUNCT
ap-4889	257	34	at	at	ADP
ap-4889	257	35	the	the	DET
ap-4889	257	36	beginning	beginning	NOUN
ap-4889	257	37	,	,	PUNCT
ap-4889	257	38	middle	middle	ADJ
ap-4889	257	39	,	,	PUNCT
ap-4889	257	40	end	end	NOUN
ap-4889	257	41	,	,	PUNCT
ap-4889	257	42	and	and	CCONJ
ap-4889	257	43	another	another	DET
ap-4889	257	44	time	time	NOUN
ap-4889	257	45	in	in	ADP
ap-4889	257	46	the	the	DET
ap-4889	257	47	choice	choice	NOUN
ap-4889	257	48	of	of	ADP
ap-4889	257	49	the	the	DET
ap-4889	257	50	writer	writer	NOUN
ap-4889	257	51	)	)	PUNCT
ap-4889	257	52	.	.	PUNCT
ap-4889	258	1	the	the	DET
ap-4889	258	2	constructed	construct	VERB
ap-4889	258	3	database	database	NOUN
ap-4889	258	4	includes	include	VERB
ap-4889	258	5	4800	4800	NUM
ap-4889	258	6	words	word	NOUN
ap-4889	258	7	,	,	PUNCT
ap-4889	258	8	inputted	inputte	VERB
ap-4889	258	9	by	by	ADP
ap-4889	258	10	the	the	DET
ap-4889	258	11	same	same	ADJ
ap-4889	258	12	writers	writer	NOUN
ap-4889	258	13	(	(	PUNCT
ap-4889	258	14	20	20	NUM
ap-4889	258	15	)	)	PUNCT
ap-4889	258	16	.	.	PUNCT
ap-4889	259	1	the	the	DET
ap-4889	259	2	words	word	NOUN
ap-4889	259	3	represent	represent	VERB
ap-4889	259	4	the	the	DET
ap-4889	259	5	48	48	NUM
ap-4889	259	6	algerian	algerian	ADJ
ap-4889	259	7	provinces	province	NOUN
ap-4889	259	8	(	(	PUNCT
ap-4889	259	9	wilaya	wilaya	NOUN
ap-4889	259	10	)	)	PUNCT
ap-4889	259	11	.	.	PUNCT
ap-4889	260	1	each	each	DET
ap-4889	260	2	writer	writer	NOUN
ap-4889	260	3	performs	perform	VERB
ap-4889	260	4	five	five	NUM
ap-4889	260	5	insertions	insertion	NOUN
ap-4889	260	6	of	of	ADP
ap-4889	260	7	the	the	DET
ap-4889	260	8	48	48	NUM
ap-4889	260	9	wilayas	wilayas	NOUN
ap-4889	260	10	.	.	PUNCT
ap-4889	261	1	the	the	DET
ap-4889	261	2	handwriting	handwriting	NOUN
ap-4889	261	3	can	can	AUX
ap-4889	261	4	be	be	AUX
ap-4889	261	5	influenced	influence	VERB
ap-4889	261	6	by	by	ADP
ap-4889	261	7	several	several	ADJ
ap-4889	261	8	parameters	parameter	NOUN
ap-4889	261	9	,	,	PUNCT
ap-4889	261	10	such	such	ADJ
ap-4889	261	11	as	as	ADP
ap-4889	261	12	the	the	DET
ap-4889	261	13	age	age	NOUN
ap-4889	261	14	,	,	PUNCT
ap-4889	261	15	the	the	DET
ap-4889	261	16	sex	sex	NOUN
ap-4889	261	17	and	and	CCONJ
ap-4889	261	18	the	the	DET
ap-4889	261	19	state	state	NOUN
ap-4889	261	20	of	of	ADP
ap-4889	261	21	the	the	DET
ap-4889	261	22	writer	writer	NOUN
ap-4889	261	23	(	(	PUNCT
ap-4889	261	24	each	each	DET
ap-4889	261	25	writer	writer	NOUN
ap-4889	261	26	possesses	possess	VERB
ap-4889	261	27	an	an	DET
ap-4889	261	28	appropriate	appropriate	ADJ
ap-4889	261	29	writing	writing	NOUN
ap-4889	261	30	style	style	NOUN
ap-4889	261	31	)	)	PUNCT
ap-4889	261	32	.	.	PUNCT
ap-4889	262	1	to	to	PART
ap-4889	262	2	preserve	preserve	VERB
ap-4889	262	3	the	the	DET
ap-4889	262	4	variability	variability	NOUN
ap-4889	262	5	of	of	ADP
ap-4889	262	6	the	the	DET
ap-4889	262	7	writing	writing	NOUN
ap-4889	262	8	signals	signal	NOUN
ap-4889	262	9	,	,	PUNCT
ap-4889	262	10	we	we	PRON
ap-4889	262	11	took	take	VERB
ap-4889	262	12	care	care	NOUN
ap-4889	262	13	to	to	PART
ap-4889	262	14	make	make	VERB
ap-4889	262	15	the	the	DET
ap-4889	262	16	data	data	NOUN
ap-4889	262	17	acquisition	acquisition	NOUN
ap-4889	262	18	(	(	PUNCT
ap-4889	262	19	the	the	DET
ap-4889	262	20	samples	sample	NOUN
ap-4889	262	21	database	database	NOUN
ap-4889	262	22	)	)	PUNCT
ap-4889	262	23	by	by	ADP
ap-4889	262	24	20	20	NUM
ap-4889	262	25	people	people	NOUN
ap-4889	262	26	with	with	ADP
ap-4889	262	27	different	different	ADJ
ap-4889	262	28	sexes	sex	NOUN
ap-4889	262	29	and	and	CCONJ
ap-4889	262	30	age	age	NOUN
ap-4889	262	31	categories	category	NOUN
ap-4889	262	32	.	.	PUNCT
ap-4889	263	1	the	the	DET
ap-4889	263	2	database	database	NOUN
ap-4889	263	3	is	be	AUX
ap-4889	263	4	summarized	summarize	VERB
ap-4889	263	5	in	in	ADP
ap-4889	263	6	table	table	NOUN
ap-4889	263	7	1	1	NUM
ap-4889	263	8	.	.	NOUN
ap-4889	263	9	5	5	NUM
ap-4889	263	10	.	.	PUNCT
ap-4889	263	11	experiments	experiment	NOUN
ap-4889	263	12	and	and	CCONJ
ap-4889	263	13	results	result	NOUN
ap-4889	263	14	in	in	ADP
ap-4889	263	15	this	this	DET
ap-4889	263	16	section	section	NOUN
ap-4889	263	17	,	,	PUNCT
ap-4889	263	18	we	we	PRON
ap-4889	263	19	shall	shall	AUX
ap-4889	263	20	only	only	ADV
ap-4889	263	21	consider	consider	VERB
ap-4889	263	22	the	the	DET
ap-4889	263	23	final	final	ADJ
ap-4889	263	24	results	result	NOUN
ap-4889	263	25	of	of	ADP
ap-4889	263	26	our	our	PRON
ap-4889	263	27	system	system	NOUN
ap-4889	263	28	of	of	ADP
ap-4889	263	29	the	the	DET
ap-4889	263	30	arabic	arabic	ADJ
ap-4889	263	31	handwritten	handwritten	ADJ
ap-4889	263	32	character	character	NOUN
ap-4889	263	33	recognition	recognition	NOUN
ap-4889	263	34	,	,	PUNCT
ap-4889	263	35	i.e.	i.e.	X
ap-4889	263	36	with	with	ADP
ap-4889	263	37	all	all	DET
ap-4889	263	38	the	the	DET
ap-4889	263	39	parameter	parameter	NOUN
ap-4889	263	40	adjustments	adjustment	NOUN
ap-4889	263	41	304	304	NUM
ap-4889	263	42	vol	vol	NOUN
ap-4889	263	43	.	.	PUNCT
ap-4889	264	1	58	58	NUM
ap-4889	264	2	no	no	INTJ
ap-4889	264	3	.	.	PUNCT
ap-4889	265	1	5/2018	5/2018	NUM
ap-4889	265	2	new	new	ADJ
ap-4889	265	3	approach	approach	NOUN
ap-4889	265	4	for	for	ADP
ap-4889	265	5	online	online	ADJ
ap-4889	265	6	arabic	arabic	ADJ
ap-4889	265	7	manuscript	manuscript	PROPN
ap-4889	265	8	recongnition	recongnition	NOUN
ap-4889	265	9	by	by	ADP
ap-4889	265	10	deep	deep	ADJ
ap-4889	265	11	belief	belief	NOUN
ap-4889	265	12	network	network	NOUN
ap-4889	265	13	nn	nn	PROPN
ap-4889	265	14	arabs	arabs	PROPN
ap-4889	265	15	letters	letter	NOUN
ap-4889	265	16	%	%	VERB
ap-4889	265	17	correct	correct	ADJ
ap-4889	265	18	%	%	NOUN
ap-4889	265	19	error	error	NOUN
ap-4889	265	20	time	time	NOUN
ap-4889	265	21	for	for	ADP
ap-4889	265	22	classification	classification	NOUN
ap-4889	265	23	(	(	PUNCT
ap-4889	265	24	sec	sec	PROPN
ap-4889	265	25	)	)	PUNCT
ap-4889	265	26	mlp	mlp	NOUN
ap-4889	265	27	97.73	97.73	NUM
ap-4889	265	28	2.27	2.27	NUM
ap-4889	265	29	48.21	48.21	NUM
ap-4889	265	30	tdnn	tdnn	NOUN
ap-4889	265	31	49.46	49.46	NUM
ap-4889	265	32	50.54	50.54	NUM
ap-4889	265	33	2358.00	2358.00	NUM
ap-4889	265	34	rbf	rbf	PROPN
ap-4889	265	35	86.09	86.09	NUM
ap-4889	265	36	13.91	13.91	NUM
ap-4889	265	37	23.09	23.09	NUM
ap-4889	265	38	rbfe	rbfe	VERB
ap-4889	265	39	75.39	75.39	NUM
ap-4889	265	40	24.61	24.61	NUM
ap-4889	265	41	8.68	8.68	NUM
ap-4889	265	42	grnn	grnn	NOUN
ap-4889	265	43	86.36	86.36	NUM
ap-4889	265	44	13.64	13.64	NUM
ap-4889	265	45	8.14	8.14	NUM
ap-4889	265	46	pnn	pnn	PROPN
ap-4889	265	47	84.92	84.92	NUM
ap-4889	265	48	15.08	15.08	NUM
ap-4889	265	49	8.73	8.73	NUM
ap-4889	265	50	table	table	NOUN
ap-4889	265	51	2	2	NUM
ap-4889	265	52	.	.	PUNCT
ap-4889	265	53	arabic	arabic	ADJ
ap-4889	265	54	characters	character	NOUN
ap-4889	265	55	recognition	recognition	NOUN
ap-4889	265	56	rates	rate	NOUN
ap-4889	265	57	and	and	CCONJ
ap-4889	265	58	classification	classification	NOUN
ap-4889	265	59	time	time	NOUN
ap-4889	265	60	according	accord	VERB
ap-4889	265	61	the	the	DET
ap-4889	265	62	neural	neural	ADJ
ap-4889	265	63	network	network	NOUN
ap-4889	265	64	.	.	PUNCT
ap-4889	266	1	nn	nn	PROPN
ap-4889	267	1	arabs	arabs	PROPN
ap-4889	267	2	words	word	NOUN
ap-4889	267	3	%	%	INTJ
ap-4889	267	4	correct	correct	ADJ
ap-4889	267	5	%	%	NOUN
ap-4889	267	6	error	error	NOUN
ap-4889	267	7	time	time	NOUN
ap-4889	267	8	for	for	ADP
ap-4889	267	9	classification	classification	NOUN
ap-4889	267	10	(	(	PUNCT
ap-4889	267	11	sec	sec	PROPN
ap-4889	267	12	)	)	PUNCT
ap-4889	267	13	mlp	mlp	NOUN
ap-4889	267	14	85.31	85.31	NUM
ap-4889	267	15	14.69	14.69	NUM
ap-4889	267	16	27.01	27.01	NUM
ap-4889	267	17	tdnn	tdnn	NOUN
ap-4889	267	18	46.76	46.76	NUM
ap-4889	267	19	53.24	53.24	NUM
ap-4889	267	20	32017.00	32017.00	NUM
ap-4889	267	21	rbf	rbf	PROPN
ap-4889	267	22	81.85	81.85	NUM
ap-4889	267	23	18.15	18.15	NUM
ap-4889	267	24	37.57	37.57	NUM
ap-4889	267	25	rbfe	rbfe	VERB
ap-4889	267	26	62.58	62.58	NUM
ap-4889	267	27	37.42	37.42	NUM
ap-4889	267	28	16.38	16.38	NUM
ap-4889	267	29	grnn	grnn	NOUN
ap-4889	267	30	78.44	78.44	NUM
ap-4889	267	31	21.56	21.56	NUM
ap-4889	267	32	16.74	16.74	NUM
ap-4889	267	33	pnn	pnn	PROPN
ap-4889	267	34	78.44	78.44	NUM
ap-4889	267	35	21.56	21.56	NUM
ap-4889	267	36	17.77	17.77	NUM
ap-4889	267	37	table	table	NOUN
ap-4889	267	38	3	3	NUM
ap-4889	267	39	.	.	PUNCT
ap-4889	267	40	arabic	arabic	ADJ
ap-4889	267	41	words	word	NOUN
ap-4889	267	42	recognition	recognition	NOUN
ap-4889	267	43	rates	rate	NOUN
ap-4889	267	44	and	and	CCONJ
ap-4889	267	45	classification	classification	NOUN
ap-4889	267	46	time	time	NOUN
ap-4889	267	47	according	accord	VERB
ap-4889	267	48	the	the	DET
ap-4889	267	49	neural	neural	ADJ
ap-4889	267	50	network	network	NOUN
ap-4889	267	51	.	.	PUNCT
ap-4889	268	1	made	make	VERB
ap-4889	268	2	in	in	ADP
ap-4889	268	3	the	the	DET
ap-4889	268	4	different	different	ADJ
ap-4889	268	5	neuronal	neuronal	ADJ
ap-4889	268	6	approaches	approach	NOUN
ap-4889	268	7	.	.	PUNCT
ap-4889	269	1	we	we	PRON
ap-4889	269	2	also	also	ADV
ap-4889	269	3	proceeded	proceed	VERB
ap-4889	269	4	to	to	ADP
ap-4889	269	5	the	the	DET
ap-4889	269	6	division	division	NOUN
ap-4889	269	7	of	of	ADP
ap-4889	269	8	the	the	DET
ap-4889	269	9	database	database	NOUN
ap-4889	269	10	in	in	ADP
ap-4889	269	11	two	two	NUM
ap-4889	269	12	parts	part	NOUN
ap-4889	269	13	:	:	PUNCT
ap-4889	269	14	50	50	NUM
ap-4889	269	15	%	%	NOUN
ap-4889	269	16	of	of	ADP
ap-4889	269	17	samples	sample	NOUN
ap-4889	269	18	formed	form	VERB
ap-4889	269	19	the	the	DET
ap-4889	269	20	training	training	NOUN
ap-4889	269	21	(	(	PUNCT
ap-4889	269	22	1400	1400	NUM
ap-4889	269	23	characters	character	NOUN
ap-4889	269	24	and	and	CCONJ
ap-4889	269	25	2400	2400	NUM
ap-4889	269	26	words	word	NOUN
ap-4889	269	27	)	)	PUNCT
ap-4889	269	28	and	and	CCONJ
ap-4889	269	29	the	the	DET
ap-4889	269	30	remaining	remain	VERB
ap-4889	269	31	50	50	NUM
ap-4889	269	32	%	%	NOUN
ap-4889	269	33	for	for	ADP
ap-4889	269	34	the	the	DET
ap-4889	269	35	test	test	NOUN
ap-4889	269	36	(	(	PUNCT
ap-4889	269	37	1400	1400	NUM
ap-4889	269	38	characters	character	NOUN
ap-4889	269	39	and	and	CCONJ
ap-4889	269	40	2400	2400	NUM
ap-4889	269	41	words	word	NOUN
ap-4889	269	42	)	)	PUNCT
ap-4889	269	43	.	.	PUNCT
ap-4889	270	1	5.1	5.1	NUM
ap-4889	270	2	.	.	PUNCT
ap-4889	270	3	neural	neural	ADJ
ap-4889	270	4	approach	approach	NOUN
ap-4889	270	5	(	(	PUNCT
ap-4889	270	6	classical	classical	ADJ
ap-4889	270	7	methods	method	NOUN
ap-4889	270	8	)	)	PUNCT
ap-4889	270	9	experiment	experiment	NOUN
ap-4889	270	10	1	1	NUM
ap-4889	270	11	:	:	PUNCT
ap-4889	270	12	in	in	ADP
ap-4889	270	13	the	the	DET
ap-4889	270	14	first	first	ADJ
ap-4889	270	15	experiment	experiment	NOUN
ap-4889	270	16	,	,	PUNCT
ap-4889	270	17	we	we	PRON
ap-4889	270	18	have	have	AUX
ap-4889	270	19	used	use	VERB
ap-4889	270	20	the	the	DET
ap-4889	270	21	classic	classic	ADJ
ap-4889	270	22	architectures	architecture	NOUN
ap-4889	270	23	described	describe	VERB
ap-4889	270	24	previously	previously	ADV
ap-4889	270	25	for	for	ADP
ap-4889	270	26	the	the	DET
ap-4889	270	27	on	on	ADP
ap-4889	270	28	-	-	PUNCT
ap-4889	270	29	line	line	NOUN
ap-4889	270	30	arabic	arabic	ADJ
ap-4889	270	31	handwritten	handwritten	ADJ
ap-4889	270	32	character	character	NOUN
ap-4889	270	33	recognition	recognition	NOUN
ap-4889	270	34	regardless	regardless	ADV
ap-4889	270	35	of	of	ADP
ap-4889	270	36	its	its	PRON
ap-4889	270	37	position	position	NOUN
ap-4889	270	38	in	in	ADP
ap-4889	270	39	the	the	DET
ap-4889	270	40	word	word	NOUN
ap-4889	270	41	,	,	PUNCT
ap-4889	270	42	i.e.	i.e.	X
ap-4889	270	43	,	,	PUNCT
ap-4889	270	44	in	in	ADP
ap-4889	270	45	its	its	PRON
ap-4889	270	46	isolated	isolated	ADJ
ap-4889	270	47	form	form	NOUN
ap-4889	270	48	,	,	PUNCT
ap-4889	270	49	at	at	ADP
ap-4889	270	50	the	the	DET
ap-4889	270	51	beginning	beginning	NOUN
ap-4889	270	52	,	,	PUNCT
ap-4889	270	53	middle	middle	ADJ
ap-4889	270	54	and	and	CCONJ
ap-4889	270	55	end	end	NOUN
ap-4889	270	56	.	.	PUNCT
ap-4889	271	1	the	the	DET
ap-4889	271	2	best	good	ADJ
ap-4889	271	3	configurations	configuration	NOUN
ap-4889	271	4	of	of	ADP
ap-4889	271	5	our	our	PRON
ap-4889	271	6	system	system	NOUN
ap-4889	271	7	gave	give	VERB
ap-4889	271	8	the	the	DET
ap-4889	271	9	results	result	NOUN
ap-4889	271	10	illustrated	illustrate	VERB
ap-4889	271	11	in	in	ADP
ap-4889	271	12	the	the	DET
ap-4889	271	13	table	table	NOUN
ap-4889	271	14	2	2	NUM
ap-4889	271	15	.	.	X
ap-4889	272	1	discussion	discussion	NOUN
ap-4889	272	2	:	:	PUNCT
ap-4889	272	3	we	we	PRON
ap-4889	272	4	notice	notice	VERB
ap-4889	272	5	that	that	SCONJ
ap-4889	272	6	the	the	DET
ap-4889	272	7	used	use	VERB
ap-4889	272	8	classic	classic	ADJ
ap-4889	272	9	architectures	architecture	NOUN
ap-4889	272	10	give	give	VERB
ap-4889	272	11	more	more	ADJ
ap-4889	272	12	or	or	CCONJ
ap-4889	272	13	less	less	ADV
ap-4889	272	14	satisfactory	satisfactory	ADJ
ap-4889	272	15	results	result	NOUN
ap-4889	272	16	,	,	PUNCT
ap-4889	272	17	having	having	AUX
ap-4889	272	18	said	say	VERB
ap-4889	272	19	that	that	SCONJ
ap-4889	272	20	,	,	PUNCT
ap-4889	272	21	the	the	DET
ap-4889	272	22	best	good	ADJ
ap-4889	272	23	classification	classification	NOUN
ap-4889	272	24	results	result	NOUN
ap-4889	272	25	of	of	ADP
ap-4889	272	26	the	the	DET
ap-4889	272	27	arabic	arabic	ADJ
ap-4889	272	28	characters	character	NOUN
ap-4889	272	29	were	be	AUX
ap-4889	272	30	obtained	obtain	VERB
ap-4889	272	31	by	by	ADP
ap-4889	272	32	using	use	VERB
ap-4889	272	33	the	the	DET
ap-4889	272	34	multi	multi	ADJ
ap-4889	272	35	-	-	ADJ
ap-4889	272	36	layer	layer	ADJ
ap-4889	272	37	perceptron	perceptron	PROPN
ap-4889	272	38	mlp	mlp	PROPN
ap-4889	272	39	with	with	ADP
ap-4889	272	40	a	a	DET
ap-4889	272	41	97.73	97.73	NUM
ap-4889	272	42	%	%	NOUN
ap-4889	272	43	success	success	NOUN
ap-4889	272	44	rate	rate	NOUN
ap-4889	272	45	.	.	PUNCT
ap-4889	273	1	experiment	experiment	NOUN
ap-4889	273	2	2	2	NUM
ap-4889	273	3	:	:	PUNCT
ap-4889	273	4	in	in	ADP
ap-4889	273	5	the	the	DET
ap-4889	273	6	second	second	ADJ
ap-4889	273	7	experiment	experiment	NOUN
ap-4889	273	8	,	,	PUNCT
ap-4889	273	9	we	we	PRON
ap-4889	273	10	are	be	AUX
ap-4889	273	11	going	go	VERB
ap-4889	273	12	to	to	PART
ap-4889	273	13	use	use	VERB
ap-4889	273	14	the	the	DET
ap-4889	273	15	same	same	ADJ
ap-4889	273	16	previous	previous	ADJ
ap-4889	273	17	architectures	architecture	NOUN
ap-4889	273	18	for	for	ADP
ap-4889	273	19	the	the	DET
ap-4889	273	20	online	online	ADJ
ap-4889	273	21	arabic	arabic	ADJ
ap-4889	273	22	words	word	NOUN
ap-4889	273	23	recognition	recognition	PROPN
ap-4889	273	24	,	,	PUNCT
ap-4889	273	25	represented	represent	VERB
ap-4889	273	26	by	by	ADP
ap-4889	273	27	48	48	NUM
ap-4889	273	28	wilayas	wilayas	PROPN
ap-4889	273	29	of	of	ADP
ap-4889	273	30	algeria	algeria	PROPN
ap-4889	273	31	.	.	PUNCT
ap-4889	274	1	the	the	DET
ap-4889	274	2	best	good	ADJ
ap-4889	274	3	configurations	configuration	NOUN
ap-4889	274	4	of	of	ADP
ap-4889	274	5	our	our	PRON
ap-4889	274	6	system	system	NOUN
ap-4889	274	7	gave	give	VERB
ap-4889	274	8	the	the	DET
ap-4889	274	9	results	result	NOUN
ap-4889	274	10	illustrated	illustrate	VERB
ap-4889	274	11	in	in	ADP
ap-4889	274	12	the	the	DET
ap-4889	274	13	table	table	NOUN
ap-4889	274	14	3	3	NUM
ap-4889	274	15	.	.	X
ap-4889	274	16	discussion	discussion	NOUN
ap-4889	274	17	:	:	PUNCT
ap-4889	274	18	we	we	PRON
ap-4889	274	19	notice	notice	VERB
ap-4889	274	20	that	that	SCONJ
ap-4889	274	21	the	the	DET
ap-4889	274	22	word	word	NOUN
ap-4889	274	23	recognition	recognition	NOUN
ap-4889	274	24	results	result	NOUN
ap-4889	274	25	have	have	AUX
ap-4889	274	26	considerably	considerably	ADV
ap-4889	274	27	fallen	fall	VERB
ap-4889	274	28	in	in	ADP
ap-4889	274	29	comparison	comparison	NOUN
ap-4889	274	30	with	with	ADP
ap-4889	274	31	table	table	NOUN
ap-4889	274	32	2	2	NUM
ap-4889	274	33	,	,	PUNCT
ap-4889	274	34	this	this	PRON
ap-4889	274	35	is	be	AUX
ap-4889	274	36	due	due	ADJ
ap-4889	274	37	to	to	ADP
ap-4889	274	38	the	the	DET
ap-4889	274	39	increase	increase	NOUN
ap-4889	274	40	of	of	ADP
ap-4889	274	41	the	the	DET
ap-4889	274	42	number	number	NOUN
ap-4889	274	43	of	of	ADP
ap-4889	274	44	classes	class	NOUN
ap-4889	274	45	(	(	PUNCT
ap-4889	274	46	which	which	PRON
ap-4889	274	47	rises	rise	VERB
ap-4889	274	48	from	from	ADP
ap-4889	274	49	28	28	NUM
ap-4889	274	50	to	to	ADP
ap-4889	274	51	48	48	NUM
ap-4889	274	52	)	)	PUNCT
ap-4889	274	53	.	.	PUNCT
ap-4889	275	1	that	that	PRON
ap-4889	275	2	can	can	AUX
ap-4889	275	3	also	also	ADV
ap-4889	275	4	be	be	AUX
ap-4889	275	5	explained	explain	VERB
ap-4889	275	6	by	by	ADP
ap-4889	275	7	the	the	DET
ap-4889	275	8	complexity	complexity	NOUN
ap-4889	275	9	of	of	ADP
ap-4889	275	10	the	the	DET
ap-4889	275	11	data	data	NOUN
ap-4889	275	12	samples	sample	NOUN
ap-4889	275	13	,	,	PUNCT
ap-4889	275	14	indeed	indeed	ADV
ap-4889	275	15	a	a	DET
ap-4889	275	16	word	word	NOUN
ap-4889	275	17	can	can	AUX
ap-4889	275	18	consist	consist	VERB
ap-4889	275	19	of	of	ADP
ap-4889	275	20	several	several	ADJ
ap-4889	275	21	pseudo	pseudo	NOUN
ap-4889	275	22	-	-	NOUN
ap-4889	275	23	words	word	NOUN
ap-4889	275	24	which	which	PRON
ap-4889	275	25	can	can	AUX
ap-4889	275	26	contain	contain	VERB
ap-4889	275	27	one	one	NUM
ap-4889	275	28	or	or	CCONJ
ap-4889	275	29	several	several	ADJ
ap-4889	275	30	characters	character	NOUN
ap-4889	275	31	.	.	PUNCT
ap-4889	276	1	however	however	ADV
ap-4889	276	2	,	,	PUNCT
ap-4889	276	3	the	the	DET
ap-4889	276	4	variability	variability	NOUN
ap-4889	276	5	of	of	ADP
ap-4889	276	6	the	the	DET
ap-4889	276	7	writing	writing	NOUN
ap-4889	276	8	signal	signal	NOUN
ap-4889	276	9	is	be	AUX
ap-4889	276	10	richer	rich	ADJ
ap-4889	276	11	in	in	ADP
ap-4889	276	12	the	the	DET
ap-4889	276	13	case	case	NOUN
ap-4889	276	14	of	of	ADP
ap-4889	276	15	the	the	DET
ap-4889	276	16	word	word	NOUN
ap-4889	276	17	writing	write	VERB
ap-4889	276	18	.	.	PUNCT
ap-4889	277	1	in	in	ADP
ap-4889	277	2	addition	addition	NOUN
ap-4889	277	3	,	,	PUNCT
ap-4889	277	4	the	the	DET
ap-4889	277	5	reduction	reduction	NOUN
ap-4889	277	6	of	of	ADP
ap-4889	277	7	the	the	DET
ap-4889	277	8	rate	rate	NOUN
ap-4889	277	9	recognition	recognition	NOUN
ap-4889	277	10	can	can	AUX
ap-4889	277	11	be	be	AUX
ap-4889	277	12	explained	explain	VERB
ap-4889	277	13	by	by	ADP
ap-4889	277	14	the	the	DET
ap-4889	277	15	main	main	ADJ
ap-4889	277	16	limitation	limitation	NOUN
ap-4889	277	17	of	of	ADP
ap-4889	277	18	the	the	DET
ap-4889	277	19	classic	classic	ADJ
ap-4889	277	20	architectures	architecture	NOUN
ap-4889	277	21	.	.	PUNCT
ap-4889	278	1	if	if	SCONJ
ap-4889	278	2	the	the	DET
ap-4889	278	3	architecture	architecture	NOUN
ap-4889	278	4	is	be	AUX
ap-4889	278	5	too	too	ADV
ap-4889	278	6	deep	deep	ADJ
ap-4889	278	7	,	,	PUNCT
ap-4889	278	8	the	the	DET
ap-4889	278	9	optimization	optimization	NOUN
ap-4889	278	10	of	of	ADP
ap-4889	278	11	the	the	DET
ap-4889	278	12	parameters	parameter	NOUN
ap-4889	278	13	very	very	ADV
ap-4889	278	14	often	often	ADV
ap-4889	278	15	leads	lead	VERB
ap-4889	278	16	to	to	ADP
ap-4889	278	17	a	a	DET
ap-4889	278	18	non	non	ADJ
ap-4889	278	19	-	-	ADJ
ap-4889	278	20	optimal	optimal	ADJ
ap-4889	278	21	local	local	ADJ
ap-4889	278	22	minima	minima	NOUN
ap-4889	278	23	.	.	PUNCT
ap-4889	279	1	the	the	DET
ap-4889	279	2	increase	increase	NOUN
ap-4889	279	3	of	of	ADP
ap-4889	279	4	the	the	DET
ap-4889	279	5	number	number	NOUN
ap-4889	279	6	of	of	ADP
ap-4889	279	7	layers	layer	NOUN
ap-4889	279	8	did	do	AUX
ap-4889	279	9	not	not	PART
ap-4889	279	10	improve	improve	VERB
ap-4889	279	11	the	the	DET
ap-4889	279	12	results	result	NOUN
ap-4889	279	13	(	(	PUNCT
ap-4889	279	14	some	some	DET
ap-4889	279	15	-	-	PUNCT
ap-4889	279	16	times	time	NOUN
ap-4889	279	17	,	,	PUNCT
ap-4889	279	18	it	it	PRON
ap-4889	279	19	degraded	degrade	VERB
ap-4889	279	20	them	they	PRON
ap-4889	279	21	)	)	PUNCT
ap-4889	279	22	.	.	PUNCT
ap-4889	280	1	for	for	ADP
ap-4889	280	2	this	this	DET
ap-4889	280	3	reason	reason	NOUN
ap-4889	280	4	,	,	PUNCT
ap-4889	280	5	we	we	PRON
ap-4889	280	6	had	have	AUX
ap-4889	280	7	previously	previously	ADV
ap-4889	280	8	highlighted	highlight	VERB
ap-4889	280	9	that	that	SCONJ
ap-4889	280	10	the	the	DET
ap-4889	280	11	results	result	NOUN
ap-4889	280	12	mentioned	mention	VERB
ap-4889	280	13	are	be	AUX
ap-4889	280	14	those	those	PRON
ap-4889	280	15	of	of	ADP
ap-4889	280	16	the	the	DET
ap-4889	280	17	ideal	ideal	ADJ
ap-4889	280	18	architecture	architecture	NOUN
ap-4889	280	19	(	(	PUNCT
ap-4889	280	20	with	with	ADP
ap-4889	280	21	the	the	DET
ap-4889	280	22	best	good	ADJ
ap-4889	280	23	parameters	parameter	NOUN
ap-4889	280	24	for	for	ADP
ap-4889	280	25	each	each	DET
ap-4889	280	26	neural	neural	ADJ
ap-4889	280	27	network	network	NOUN
ap-4889	280	28	,	,	PUNCT
ap-4889	280	29	including	include	VERB
ap-4889	280	30	the	the	DET
ap-4889	280	31	number	number	NOUN
ap-4889	280	32	of	of	ADP
ap-4889	280	33	layers	layer	NOUN
ap-4889	280	34	)	)	PUNCT
ap-4889	280	35	.	.	PUNCT
ap-4889	281	1	as	as	SCONJ
ap-4889	281	2	explained	explain	VERB
ap-4889	281	3	in	in	ADP
ap-4889	281	4	[	[	PUNCT
ap-4889	281	5	13	13	NUM
ap-4889	281	6	,	,	PUNCT
ap-4889	281	7	14	14	NUM
ap-4889	281	8	]	]	PUNCT
ap-4889	281	9	)	)	PUNCT
ap-4889	281	10	,	,	PUNCT
ap-4889	281	11	the	the	DET
ap-4889	281	12	surface	surface	NOUN
ap-4889	281	13	of	of	ADP
ap-4889	281	14	the	the	DET
ap-4889	281	15	error	error	NOUN
ap-4889	281	16	is	be	AUX
ap-4889	281	17	not	not	PART
ap-4889	281	18	convex	convex	ADJ
ap-4889	281	19	and	and	CCONJ
ap-4889	281	20	is	be	AUX
ap-4889	281	21	more	more	ADV
ap-4889	281	22	irregular	irregular	ADJ
ap-4889	281	23	as	as	SCONJ
ap-4889	281	24	the	the	DET
ap-4889	281	25	network	network	NOUN
ap-4889	281	26	is	be	AUX
ap-4889	281	27	deep	deep	ADJ
ap-4889	281	28	.	.	PUNCT
ap-4889	282	1	despite	despite	SCONJ
ap-4889	282	2	this	this	PRON
ap-4889	282	3	,	,	PUNCT
ap-4889	282	4	the	the	DET
ap-4889	282	5	mlp	mlp	NOUN
ap-4889	282	6	still	still	ADV
ap-4889	282	7	gives	give	VERB
ap-4889	282	8	the	the	DET
ap-4889	282	9	best	good	ADJ
ap-4889	282	10	results	result	NOUN
ap-4889	282	11	,	,	PUNCT
ap-4889	282	12	which	which	PRON
ap-4889	282	13	is	be	AUX
ap-4889	282	14	85.31	85.31	NUM
ap-4889	282	15	%	%	NOUN
ap-4889	282	16	with	with	ADP
ap-4889	282	17	an	an	DET
ap-4889	282	18	acceptable	acceptable	ADJ
ap-4889	282	19	time	time	NOUN
ap-4889	282	20	of	of	ADP
ap-4889	282	21	classification	classification	NOUN
ap-4889	282	22	of	of	ADP
ap-4889	282	23	27.01	27.01	NUM
ap-4889	282	24	seconds	second	NOUN
ap-4889	282	25	.	.	PUNCT
ap-4889	283	1	other	other	ADJ
ap-4889	283	2	observation	observation	NOUN
ap-4889	283	3	is	be	AUX
ap-4889	283	4	that	that	SCONJ
ap-4889	283	5	the	the	DET
ap-4889	283	6	tdnn	tdnn	NOUN
ap-4889	283	7	takes	take	VERB
ap-4889	283	8	a	a	DET
ap-4889	283	9	long	long	ADJ
ap-4889	283	10	time	time	NOUN
ap-4889	283	11	for	for	ADP
ap-4889	283	12	the	the	DET
ap-4889	283	13	classification	classification	NOUN
ap-4889	283	14	,	,	PUNCT
ap-4889	283	15	because	because	SCONJ
ap-4889	283	16	of	of	ADP
ap-4889	283	17	its	its	PRON
ap-4889	283	18	complex	complex	ADJ
ap-4889	283	19	architecture	architecture	NOUN
ap-4889	283	20	,	,	PUNCT
ap-4889	283	21	which	which	PRON
ap-4889	283	22	adds	add	VERB
ap-4889	283	23	an	an	DET
ap-4889	283	24	additional	additional	ADJ
ap-4889	283	25	dimension	dimension	NOUN
ap-4889	283	26	to	to	ADP
ap-4889	283	27	the	the	DET
ap-4889	283	28	network	network	NOUN
ap-4889	283	29	,	,	PUNCT
ap-4889	283	30	i.e.	i.e.	X
ap-4889	283	31	a	a	DET
ap-4889	283	32	temporal	temporal	ADJ
ap-4889	283	33	dimension	dimension	NOUN
ap-4889	283	34	in	in	ADP
ap-4889	283	35	this	this	DET
ap-4889	283	36	particular	particular	ADJ
ap-4889	283	37	case	case	NOUN
ap-4889	283	38	.	.	PUNCT
ap-4889	284	1	5.2	5.2	NUM
ap-4889	284	2	.	.	PUNCT
ap-4889	285	1	deep	deep	ADJ
ap-4889	285	2	neural	neural	ADJ
ap-4889	285	3	approach	approach	NOUN
ap-4889	285	4	experiment	experiment	NOUN
ap-4889	285	5	3	3	NUM
ap-4889	285	6	:	:	PUNCT
ap-4889	285	7	to	to	PART
ap-4889	285	8	enhance	enhance	VERB
ap-4889	285	9	that	that	DET
ap-4889	285	10	results	result	NOUN
ap-4889	285	11	,	,	PUNCT
ap-4889	285	12	we	we	PRON
ap-4889	285	13	will	will	AUX
ap-4889	285	14	use	use	VERB
ap-4889	285	15	a	a	DET
ap-4889	285	16	deep	deep	ADJ
ap-4889	285	17	neuronal	neuronal	ADJ
ap-4889	285	18	architecture	architecture	NOUN
ap-4889	285	19	of	of	ADP
ap-4889	285	20	the	the	DET
ap-4889	285	21	type	type	NOUN
ap-4889	285	22	deep	deep	ADJ
ap-4889	285	23	belief	belief	NOUN
ap-4889	285	24	network	network	NOUN
ap-4889	285	25	(	(	PUNCT
ap-4889	285	26	dbn	dbn	PROPN
ap-4889	285	27	)	)	PUNCT
ap-4889	285	28	,	,	PUNCT
ap-4889	285	29	which	which	PRON
ap-4889	285	30	represents	represent	VERB
ap-4889	285	31	a	a	DET
ap-4889	285	32	stacking	stacking	NOUN
ap-4889	285	33	of	of	ADP
ap-4889	285	34	restricted	restrict	VERB
ap-4889	285	35	boltzmann	boltzmann	PROPN
ap-4889	285	36	machines	machine	NOUN
ap-4889	285	37	.	.	PUNCT
ap-4889	286	1	it	it	PRON
ap-4889	286	2	should	should	AUX
ap-4889	286	3	be	be	AUX
ap-4889	286	4	noted	note	VERB
ap-4889	286	5	that	that	SCONJ
ap-4889	286	6	the	the	DET
ap-4889	286	7	recognition	recognition	NOUN
ap-4889	286	8	architecture	architecture	NOUN
ap-4889	286	9	system	system	NOUN
ap-4889	286	10	is	be	AUX
ap-4889	286	11	slightly	slightly	ADV
ap-4889	286	12	modified	modify	VERB
ap-4889	286	13	because	because	SCONJ
ap-4889	286	14	we	we	PRON
ap-4889	286	15	have	have	AUX
ap-4889	286	16	eliminated	eliminate	VERB
ap-4889	286	17	the	the	DET
ap-4889	286	18	“	"	PUNCT
ap-4889	286	19	features	feature	NOUN
ap-4889	286	20	extraction	extraction	NOUN
ap-4889	286	21	”	"	PUNCT
ap-4889	286	22	block	block	NOUN
ap-4889	286	23	(	(	PUNCT
ap-4889	286	24	see	see	VERB
ap-4889	286	25	figure	figure	NOUN
ap-4889	286	26	2	2	NUM
ap-4889	286	27	)	)	PUNCT
ap-4889	286	28	.	.	PUNCT
ap-4889	287	1	this	this	PRON
ap-4889	287	2	is	be	AUX
ap-4889	287	3	due	due	ADJ
ap-4889	287	4	to	to	ADP
ap-4889	287	5	the	the	DET
ap-4889	287	6	abstraction	abstraction	ADJ
ap-4889	287	7	ability	ability	NOUN
ap-4889	287	8	of	of	ADP
ap-4889	287	9	the	the	DET
ap-4889	287	10	deep	deep	ADJ
ap-4889	287	11	learning	learning	NOUN
ap-4889	287	12	network	network	NOUN
ap-4889	287	13	.	.	PUNCT
ap-4889	288	1	in	in	ADP
ap-4889	288	2	fact	fact	NOUN
ap-4889	288	3	,	,	PUNCT
ap-4889	288	4	it	it	PRON
ap-4889	288	5	allows	allow	VERB
ap-4889	288	6	automatically	automatically	ADV
ap-4889	288	7	learning	learn	VERB
ap-4889	288	8	the	the	DET
ap-4889	288	9	different	different	ADJ
ap-4889	288	10	representations	representation	NOUN
ap-4889	288	11	of	of	ADP
ap-4889	288	12	data	datum	NOUN
ap-4889	288	13	by	by	ADP
ap-4889	288	14	an	an	DET
ap-4889	288	15	abstraction	abstraction	ADJ
ap-4889	288	16	level	level	NOUN
ap-4889	288	17	from	from	ADP
ap-4889	288	18	the	the	DET
ap-4889	288	19	raw	raw	ADJ
ap-4889	288	20	data	datum	NOUN
ap-4889	288	21	.	.	PUNCT
ap-4889	289	1	phase	phase	NOUN
ap-4889	289	2	1	1	NUM
ap-4889	289	3	:	:	PUNCT
ap-4889	289	4	pre	pre	ADJ
ap-4889	289	5	-	-	NOUN
ap-4889	289	6	training	training	NOUN
ap-4889	289	7	(	(	PUNCT
ap-4889	289	8	un	un	ADJ
ap-4889	289	9	-	-	ADJ
ap-4889	289	10	supervising	supervise	VERB
ap-4889	289	11	training	training	NOUN
ap-4889	289	12	without	without	ADP
ap-4889	289	13	backpropagation	backpropagation	NOUN
ap-4889	289	14	,	,	PUNCT
ap-4889	289	15	):	):	PUNCT
ap-4889	289	16	in	in	ADP
ap-4889	289	17	this	this	DET
ap-4889	289	18	phase	phase	NOUN
ap-4889	289	19	,	,	PUNCT
ap-4889	289	20	the	the	DET
ap-4889	289	21	algorithm	algorithm	NOUN
ap-4889	289	22	utilizes	utilize	VERB
ap-4889	289	23	a	a	DET
ap-4889	289	24	concatenation	concatenation	NOUN
ap-4889	289	25	of	of	ADP
ap-4889	289	26	the	the	DET
ap-4889	289	27	rbm	rbm	PROPN
ap-4889	289	28	layers	layer	NOUN
ap-4889	289	29	to	to	PART
ap-4889	289	30	learn	learn	VERB
ap-4889	289	31	the	the	DET
ap-4889	289	32	distribution	distribution	NOUN
ap-4889	289	33	of	of	ADP
ap-4889	289	34	the	the	DET
ap-4889	289	35	inputs	input	NOUN
ap-4889	289	36	data	datum	NOUN
ap-4889	289	37	x	x	SYM
ap-4889	289	38	(	(	PUNCT
ap-4889	289	39	handwriting	handwriting	NOUN
ap-4889	289	40	signal	signal	NOUN
ap-4889	289	41	)	)	PUNCT
ap-4889	289	42	without	without	ADP
ap-4889	289	43	taking	take	VERB
ap-4889	289	44	into	into	ADP
ap-4889	289	45	consideration	consideration	NOUN
ap-4889	289	46	the	the	DET
ap-4889	289	47	y	y	PROPN
ap-4889	289	48	labels	label	NOUN
ap-4889	289	49	.	.	PUNCT
ap-4889	290	1	each	each	DET
ap-4889	290	2	rbm	rbm	PROPN
ap-4889	290	3	layer	layer	NOUN
ap-4889	290	4	(	(	PUNCT
ap-4889	290	5	the	the	DET
ap-4889	290	6	two	two	NUM
ap-4889	290	7	first	first	ADJ
ap-4889	290	8	layers	layer	NOUN
ap-4889	290	9	in	in	ADP
ap-4889	290	10	this	this	DET
ap-4889	290	11	case	case	NOUN
ap-4889	290	12	)	)	PUNCT
ap-4889	290	13	has	have	VERB
ap-4889	290	14	a	a	DET
ap-4889	290	15	more	more	ADV
ap-4889	290	16	abstract	abstract	ADJ
ap-4889	290	17	representation	representation	NOUN
ap-4889	290	18	than	than	ADP
ap-4889	290	19	the	the	DET
ap-4889	290	20	precedent	precedent	NOUN
ap-4889	290	21	.	.	PUNCT
ap-4889	291	1	hinton	hinton	PROPN
ap-4889	291	2	et	et	PROPN
ap-4889	291	3	al	al	PROPN
ap-4889	291	4	.	.	PUNCT
ap-4889	292	1	[	[	X
ap-4889	292	2	12	12	NUM
ap-4889	292	3	]	]	PUNCT
ap-4889	292	4	proved	prove	VERB
ap-4889	292	5	that	that	SCONJ
ap-4889	292	6	a	a	DET
ap-4889	292	7	greedy	greedy	ADJ
ap-4889	292	8	learning	learning	NOUN
ap-4889	292	9	method	method	NOUN
ap-4889	292	10	for	for	ADP
ap-4889	292	11	unsupervised	unsupervised	ADJ
ap-4889	292	12	training	training	NOUN
ap-4889	292	13	is	be	AUX
ap-4889	292	14	effective	effective	ADJ
ap-4889	292	15	.	.	PUNCT
ap-4889	293	1	this	this	DET
ap-4889	293	2	method	method	NOUN
ap-4889	293	3	is	be	AUX
ap-4889	293	4	also	also	ADV
ap-4889	293	5	called	call	VERB
ap-4889	293	6	contrastive	contrastive	ADJ
ap-4889	293	7	divergence	divergence	NOUN
ap-4889	293	8	(	(	PUNCT
ap-4889	293	9	cd	cd	PROPN
ap-4889	293	10	)	)	PUNCT
ap-4889	293	11	.	.	PUNCT
ap-4889	294	1	this	this	DET
ap-4889	294	2	phase	phase	NOUN
ap-4889	294	3	,	,	PUNCT
ap-4889	294	4	called	call	VERB
ap-4889	294	5	sometimes	sometimes	ADV
ap-4889	294	6	pretraining	pretraine	VERB
ap-4889	294	7	,	,	PUNCT
ap-4889	294	8	could	could	AUX
ap-4889	294	9	be	be	AUX
ap-4889	294	10	considered	consider	VERB
ap-4889	294	11	as	as	ADP
ap-4889	294	12	an	an	DET
ap-4889	294	13	efficient	efficient	ADJ
ap-4889	294	14	initialisation	initialisation	NOUN
ap-4889	294	15	of	of	ADP
ap-4889	294	16	the	the	DET
ap-4889	294	17	dbn	dbn	PROPN
ap-4889	294	18	.	.	PUNCT
ap-4889	295	1	phase	phase	NOUN
ap-4889	295	2	2	2	NUM
ap-4889	295	3	:	:	PUNCT
ap-4889	295	4	fine	fine	ADJ
ap-4889	295	5	-	-	PUNCT
ap-4889	295	6	tuning	tuning	NOUN
ap-4889	295	7	(	(	PUNCT
ap-4889	295	8	supervising	supervise	VERB
ap-4889	295	9	phase	phase	NOUN
ap-4889	295	10	with	with	ADP
ap-4889	295	11	back	back	ADJ
ap-4889	295	12	-	-	PUNCT
ap-4889	295	13	propagation	propagation	NOUN
ap-4889	295	14	)	)	PUNCT
ap-4889	295	15	the	the	DET
ap-4889	295	16	role	role	NOUN
ap-4889	295	17	of	of	ADP
ap-4889	295	18	the	the	DET
ap-4889	295	19	second	second	ADJ
ap-4889	295	20	part	part	NOUN
ap-4889	295	21	of	of	ADP
ap-4889	295	22	the	the	DET
ap-4889	295	23	dbn	dbn	NOUN
ap-4889	295	24	is	be	AUX
ap-4889	295	25	to	to	PART
ap-4889	295	26	convert	convert	VERB
ap-4889	295	27	the	the	DET
ap-4889	295	28	abstract	abstract	ADJ
ap-4889	295	29	representation	representation	NOUN
ap-4889	295	30	x	x	PUNCT
ap-4889	295	31	into	into	ADP
ap-4889	295	32	a	a	DET
ap-4889	295	33	y	y	NOUN
ap-4889	295	34	labels	label	NOUN
ap-4889	295	35	that	that	PRON
ap-4889	295	36	are	be	AUX
ap-4889	295	37	used	use	VERB
ap-4889	295	38	in	in	ADP
ap-4889	295	39	the	the	DET
ap-4889	295	40	case	case	NOUN
ap-4889	295	41	of	of	ADP
ap-4889	295	42	the	the	DET
ap-4889	295	43	supervised	supervised	ADJ
ap-4889	295	44	learning	learning	NOUN
ap-4889	295	45	(	(	PUNCT
ap-4889	295	46	the	the	DET
ap-4889	295	47	last	last	ADJ
ap-4889	295	48	rbm	rbm	NOUN
ap-4889	295	49	layer	layer	NOUN
ap-4889	295	50	with	with	ADP
ap-4889	295	51	2000	2000	NUM
ap-4889	295	52	units	unit	NOUN
ap-4889	295	53	)	)	PUNCT
ap-4889	295	54	.	.	PUNCT
ap-4889	296	1	the	the	DET
ap-4889	296	2	back	back	ADJ
ap-4889	296	3	-	-	PUNCT
ap-4889	296	4	propagation	propagation	NOUN
ap-4889	296	5	algorithm	algorithm	NOUN
ap-4889	296	6	is	be	AUX
ap-4889	296	7	used	use	VERB
ap-4889	296	8	to	to	PART
ap-4889	296	9	readjust	readjust	VERB
ap-4889	296	10	the	the	DET
ap-4889	296	11	network	network	NOUN
ap-4889	296	12	parameters	parameter	NOUN
ap-4889	296	13	,	,	PUNCT
ap-4889	296	14	and	and	CCONJ
ap-4889	296	15	finally	finally	ADV
ap-4889	296	16	,	,	PUNCT
ap-4889	296	17	the	the	DET
ap-4889	296	18	global	global	ADJ
ap-4889	296	19	optimal	optimal	ADJ
ap-4889	296	20	network	network	NOUN
ap-4889	296	21	could	could	AUX
ap-4889	296	22	be	be	AUX
ap-4889	296	23	obtained	obtain	VERB
ap-4889	296	24	.	.	PUNCT
ap-4889	297	1	the	the	DET
ap-4889	297	2	output	output	NOUN
ap-4889	297	3	layer	layer	NOUN
ap-4889	297	4	has	have	VERB
ap-4889	297	5	the	the	DET
ap-4889	297	6	number	number	NOUN
ap-4889	297	7	of	of	ADP
ap-4889	297	8	classes	class	NOUN
ap-4889	297	9	(	(	PUNCT
ap-4889	297	10	48	48	NUM
ap-4889	297	11	in	in	ADP
ap-4889	297	12	this	this	DET
ap-4889	297	13	case	case	NOUN
ap-4889	297	14	)	)	PUNCT
ap-4889	297	15	.	.	PUNCT
ap-4889	298	1	the	the	DET
ap-4889	298	2	training	training	NOUN
ap-4889	298	3	phase	phase	NOUN
ap-4889	298	4	is	be	AUX
ap-4889	298	5	considered	consider	VERB
ap-4889	298	6	as	as	ADP
ap-4889	298	7	accomplished	accomplish	VERB
ap-4889	298	8	305	305	NUM
ap-4889	298	9	benbakreti	benbakreti	ADJ
ap-4889	298	10	samir	samir	NOUN
ap-4889	298	11	,	,	PUNCT
ap-4889	298	12	aoued	aoued	PROPN
ap-4889	298	13	boukelif	boukelif	PROPN
ap-4889	298	14	acta	acta	PROPN
ap-4889	298	15	polytechnica	polytechnica	PROPN
ap-4889	298	16	parameter	parameter	PROPN
ap-4889	298	17	value	value	NOUN
ap-4889	298	18	number	number	NOUN
ap-4889	298	19	of	of	ADP
ap-4889	298	20	hidden	hide	VERB
ap-4889	298	21	layer	layer	NOUN
ap-4889	298	22	2	2	NUM
ap-4889	298	23	units	unit	NOUN
ap-4889	298	24	of	of	ADP
ap-4889	298	25	1st	1st	ADJ
ap-4889	298	26	hidden	hidden	ADJ
ap-4889	298	27	layer	layer	NOUN
ap-4889	298	28	100	100	NUM
ap-4889	298	29	units	unit	NOUN
ap-4889	298	30	of	of	ADP
ap-4889	298	31	2nd	2nd	ADJ
ap-4889	298	32	hidden	hide	VERB
ap-4889	298	33	layer	layer	NOUN
ap-4889	298	34	100	100	NUM
ap-4889	298	35	units	unit	NOUN
ap-4889	298	36	of	of	ADP
ap-4889	298	37	3rd	3rd	ADJ
ap-4889	298	38	hidden	hidden	ADJ
ap-4889	298	39	layer	layer	NOUN
ap-4889	298	40	2000	2000	NUM
ap-4889	298	41	batch	batch	NOUN
ap-4889	298	42	size	size	NOUN
ap-4889	298	43	100	100	NUM
ap-4889	298	44	number	number	NOUN
ap-4889	298	45	of	of	ADP
ap-4889	298	46	rbm	rbm	PROPN
ap-4889	298	47	epochs	epoch	NOUN
ap-4889	298	48	50	50	NUM
ap-4889	298	49	table	table	NOUN
ap-4889	298	50	4	4	NUM
ap-4889	298	51	.	.	PUNCT
ap-4889	298	52	dbn	dbn	PROPN
ap-4889	298	53	parameters	parameter	NOUN
ap-4889	298	54	.	.	PUNCT
ap-4889	299	1	nn	nn	PROPN
ap-4889	300	1	arabs	arabs	PROPN
ap-4889	300	2	words	word	NOUN
ap-4889	300	3	%	%	NOUN
ap-4889	300	4	error	error	NOUN
ap-4889	300	5	%	%	NOUN
ap-4889	300	6	error	error	NOUN
ap-4889	300	7	%	%	NOUN
ap-4889	300	8	correct	correct	ADJ
ap-4889	300	9	before	before	ADV
ap-4889	300	10	after	after	ADP
ap-4889	300	11	bp	bp	PROPN
ap-4889	300	12	bp	bp	PROPN
ap-4889	300	13	time	time	NOUN
ap-4889	300	14	for	for	ADP
ap-4889	300	15	classification	classification	NOUN
ap-4889	300	16	(	(	PUNCT
ap-4889	300	17	sec	sec	PROPN
ap-4889	300	18	)	)	PUNCT
ap-4889	300	19	dbn	dbn	PROPN
ap-4889	300	20	33.75	33.75	NUM
ap-4889	300	21	2.92	2.92	NUM
ap-4889	300	22	97.08	97.08	NUM
ap-4889	300	23	252.21	252.21	NUM
ap-4889	300	24	table	table	NOUN
ap-4889	300	25	5	5	NUM
ap-4889	300	26	.	.	PUNCT
ap-4889	300	27	arabic	arabic	ADJ
ap-4889	300	28	words	word	NOUN
ap-4889	300	29	recognition	recognition	NOUN
ap-4889	300	30	rates	rate	NOUN
ap-4889	300	31	and	and	CCONJ
ap-4889	300	32	classification	classification	NOUN
ap-4889	300	33	time	time	NOUN
ap-4889	300	34	according	accord	VERB
ap-4889	300	35	the	the	DET
ap-4889	300	36	dbn	dbn	PROPN
ap-4889	300	37	network	network	NOUN
ap-4889	300	38	.	.	PUNCT
ap-4889	301	1	once	once	ADV
ap-4889	301	2	the	the	DET
ap-4889	301	3	error	error	NOUN
ap-4889	301	4	between	between	ADP
ap-4889	301	5	the	the	DET
ap-4889	301	6	output	output	NOUN
ap-4889	301	7	and	and	CCONJ
ap-4889	301	8	desired	desire	VERB
ap-4889	301	9	one	one	NUM
ap-4889	301	10	is	be	AUX
ap-4889	301	11	stabilized	stabilize	VERB
ap-4889	301	12	.	.	PUNCT
ap-4889	302	1	after	after	ADP
ap-4889	302	2	that	that	PRON
ap-4889	302	3	,	,	PUNCT
ap-4889	302	4	we	we	PRON
ap-4889	302	5	proceed	proceed	VERB
ap-4889	302	6	to	to	PART
ap-4889	302	7	test	test	VERB
ap-4889	302	8	another	another	DET
ap-4889	302	9	samples	sample	NOUN
ap-4889	302	10	from	from	ADP
ap-4889	302	11	the	the	DET
ap-4889	302	12	database	database	NOUN
ap-4889	302	13	(	(	PUNCT
ap-4889	302	14	see	see	VERB
ap-4889	302	15	table	table	NOUN
ap-4889	302	16	1	1	NUM
ap-4889	302	17	)	)	PUNCT
ap-4889	302	18	.	.	PUNCT
ap-4889	303	1	this	this	DET
ap-4889	303	2	phase	phase	NOUN
ap-4889	303	3	,	,	PUNCT
ap-4889	303	4	which	which	PRON
ap-4889	303	5	is	be	AUX
ap-4889	303	6	called	call	VERB
ap-4889	303	7	fine	fine	ADV
ap-4889	303	8	-	-	PUNCT
ap-4889	303	9	tuning	tuning	NOUN
ap-4889	303	10	,	,	PUNCT
ap-4889	303	11	is	be	AUX
ap-4889	303	12	more	more	ADJ
ap-4889	303	13	time	time	NOUN
ap-4889	303	14	consuming	consume	VERB
ap-4889	303	15	than	than	ADP
ap-4889	303	16	the	the	DET
ap-4889	303	17	previous	previous	ADJ
ap-4889	303	18	one	one	NUM
ap-4889	303	19	.	.	PUNCT
ap-4889	304	1	the	the	DET
ap-4889	304	2	parameters	parameter	NOUN
ap-4889	304	3	of	of	ADP
ap-4889	304	4	the	the	DET
ap-4889	304	5	used	use	VERB
ap-4889	304	6	dbn	dbn	PROPN
ap-4889	304	7	network	network	NOUN
ap-4889	304	8	for	for	ADP
ap-4889	304	9	each	each	DET
ap-4889	304	10	layer	layer	NOUN
ap-4889	304	11	(	(	PUNCT
ap-4889	304	12	the	the	DET
ap-4889	304	13	pre	pre	NOUN
ap-4889	304	14	-	-	NOUN
ap-4889	304	15	training	training	NOUN
ap-4889	304	16	and	and	CCONJ
ap-4889	304	17	fine	fine	ADJ
ap-4889	304	18	tuning	tuning	NOUN
ap-4889	304	19	phases	phase	NOUN
ap-4889	304	20	)	)	PUNCT
ap-4889	304	21	are	be	AUX
ap-4889	304	22	mentioned	mention	VERB
ap-4889	304	23	in	in	ADP
ap-4889	304	24	table	table	NOUN
ap-4889	304	25	4	4	NUM
ap-4889	304	26	.	.	PUNCT
ap-4889	305	1	the	the	DET
ap-4889	305	2	above	above	ADJ
ap-4889	305	3	described	describe	VERB
ap-4889	305	4	dbn	dbn	PROPN
ap-4889	305	5	network	network	NOUN
ap-4889	305	6	architecture	architecture	NOUN
ap-4889	305	7	gave	give	VERB
ap-4889	305	8	the	the	DET
ap-4889	305	9	results	result	NOUN
ap-4889	305	10	shown	show	VERB
ap-4889	305	11	in	in	ADP
ap-4889	305	12	table	table	NOUN
ap-4889	305	13	5	5	NUM
ap-4889	305	14	.	.	PUNCT
ap-4889	306	1	discussion	discussion	NOUN
ap-4889	306	2	:	:	PUNCT
ap-4889	306	3	we	we	PRON
ap-4889	306	4	can	can	AUX
ap-4889	306	5	see	see	VERB
ap-4889	306	6	that	that	SCONJ
ap-4889	306	7	the	the	DET
ap-4889	306	8	results	result	NOUN
ap-4889	306	9	of	of	ADP
ap-4889	306	10	the	the	DET
ap-4889	306	11	word	word	NOUN
ap-4889	306	12	classification	classification	NOUN
ap-4889	306	13	are	be	AUX
ap-4889	306	14	significantly	significantly	ADV
ap-4889	306	15	improved	improve	VERB
ap-4889	306	16	with	with	ADP
ap-4889	306	17	the	the	DET
ap-4889	306	18	use	use	NOUN
ap-4889	306	19	of	of	ADP
ap-4889	306	20	the	the	DET
ap-4889	306	21	dbn	dbn	PROPN
ap-4889	306	22	.	.	PUNCT
ap-4889	307	1	indeed	indeed	ADV
ap-4889	307	2	,	,	PUNCT
ap-4889	307	3	in	in	ADP
ap-4889	307	4	the	the	DET
ap-4889	307	5	previous	previous	ADJ
ap-4889	307	6	table	table	NOUN
ap-4889	307	7	,	,	PUNCT
ap-4889	307	8	the	the	DET
ap-4889	307	9	best	good	ADJ
ap-4889	307	10	rate	rate	NOUN
ap-4889	307	11	of	of	ADP
ap-4889	307	12	classification	classification	NOUN
ap-4889	307	13	was	be	AUX
ap-4889	307	14	85.31	85.31	NUM
ap-4889	307	15	%	%	NOUN
ap-4889	307	16	with	with	ADP
ap-4889	307	17	the	the	DET
ap-4889	307	18	mlp	mlp	NOUN
ap-4889	307	19	.	.	PUNCT
ap-4889	308	1	it	it	PRON
ap-4889	308	2	reaches	reach	VERB
ap-4889	308	3	a	a	DET
ap-4889	308	4	rate	rate	NOUN
ap-4889	308	5	of	of	ADP
ap-4889	308	6	97.08	97.08	NUM
ap-4889	308	7	%	%	NOUN
ap-4889	308	8	with	with	ADP
ap-4889	308	9	the	the	DET
ap-4889	308	10	dbn	dbn	PROPN
ap-4889	308	11	network	network	NOUN
ap-4889	308	12	with	with	ADP
ap-4889	308	13	the	the	DET
ap-4889	308	14	rbm	rbm	PROPN
ap-4889	308	15	staked	staked	NOUN
ap-4889	308	16	,	,	PUNCT
ap-4889	308	17	giving	give	VERB
ap-4889	308	18	a	a	DET
ap-4889	308	19	gain	gain	NOUN
ap-4889	308	20	of	of	ADP
ap-4889	308	21	11.77	11.77	NUM
ap-4889	308	22	%	%	NOUN
ap-4889	308	23	.	.	PUNCT
ap-4889	309	1	also	also	ADV
ap-4889	309	2	,	,	PUNCT
ap-4889	309	3	we	we	PRON
ap-4889	309	4	noted	note	VERB
ap-4889	309	5	that	that	SCONJ
ap-4889	309	6	the	the	DET
ap-4889	309	7	second	second	ADJ
ap-4889	309	8	step	step	NOUN
ap-4889	309	9	,	,	PUNCT
ap-4889	309	10	the	the	DET
ap-4889	309	11	supervised	supervised	ADJ
ap-4889	309	12	part	part	NOUN
ap-4889	309	13	(	(	PUNCT
ap-4889	309	14	after	after	ADP
ap-4889	309	15	the	the	DET
ap-4889	309	16	back	back	ADJ
ap-4889	309	17	propagation	propagation	NOUN
ap-4889	309	18	)	)	PUNCT
ap-4889	309	19	,	,	PUNCT
ap-4889	309	20	that	that	PRON
ap-4889	309	21	is	be	AUX
ap-4889	309	22	called	call	VERB
ap-4889	309	23	“	"	PUNCT
ap-4889	309	24	fine	fine	ADV
ap-4889	309	25	-	-	PUNCT
ap-4889	309	26	tunning	tunning	NOUN
ap-4889	309	27	”	"	PUNCT
ap-4889	309	28	is	be	AUX
ap-4889	309	29	very	very	ADV
ap-4889	309	30	important	important	ADJ
ap-4889	309	31	in	in	ADP
ap-4889	309	32	terms	term	NOUN
ap-4889	309	33	of	of	ADP
ap-4889	309	34	the	the	DET
ap-4889	309	35	error	error	NOUN
ap-4889	309	36	rate	rate	NOUN
ap-4889	309	37	reduction	reduction	NOUN
ap-4889	309	38	(	(	PUNCT
ap-4889	309	39	2.92	2.92	NUM
ap-4889	309	40	%	%	NOUN
ap-4889	309	41	of	of	ADP
ap-4889	309	42	error	error	NOUN
ap-4889	309	43	rate	rate	NOUN
ap-4889	309	44	)	)	PUNCT
ap-4889	309	45	and	and	CCONJ
ap-4889	309	46	turned	turn	VERB
ap-4889	309	47	out	out	ADP
ap-4889	309	48	to	to	PART
ap-4889	309	49	be	be	AUX
ap-4889	309	50	much	much	ADV
ap-4889	309	51	more	more	ADV
ap-4889	309	52	efficient	efficient	ADJ
ap-4889	309	53	than	than	ADP
ap-4889	309	54	the	the	DET
ap-4889	309	55	pre	pre	ADJ
ap-4889	309	56	-	-	ADJ
ap-4889	309	57	training	training	ADJ
ap-4889	309	58	step	step	NOUN
ap-4889	309	59	(	(	PUNCT
ap-4889	309	60	33.75	33.75	NUM
ap-4889	309	61	%	%	NOUN
ap-4889	309	62	of	of	ADP
ap-4889	309	63	error	error	NOUN
ap-4889	309	64	rate	rate	NOUN
ap-4889	309	65	)	)	PUNCT
ap-4889	309	66	,	,	PUNCT
ap-4889	309	67	because	because	SCONJ
ap-4889	309	68	we	we	PRON
ap-4889	309	69	do	do	AUX
ap-4889	309	70	not	not	PART
ap-4889	309	71	start	start	VERB
ap-4889	309	72	from	from	ADP
ap-4889	309	73	an	an	DET
ap-4889	309	74	initial	initial	ADJ
ap-4889	309	75	random	random	ADJ
ap-4889	309	76	solution	solution	NOUN
ap-4889	309	77	.	.	PUNCT
ap-4889	310	1	figure	figure	NOUN
ap-4889	310	2	11	11	NUM
ap-4889	310	3	represents	represent	VERB
ap-4889	310	4	a	a	DET
ap-4889	310	5	summary	summary	NOUN
ap-4889	310	6	of	of	ADP
ap-4889	310	7	the	the	DET
ap-4889	310	8	classification	classification	NOUN
ap-4889	310	9	rates	rate	NOUN
ap-4889	310	10	obtained	obtain	VERB
ap-4889	310	11	for	for	ADP
ap-4889	310	12	each	each	DET
ap-4889	310	13	used	use	VERB
ap-4889	310	14	neural	neural	ADJ
ap-4889	310	15	network	network	NOUN
ap-4889	310	16	.	.	PUNCT
ap-4889	311	1	6	6	X
ap-4889	311	2	.	.	X
ap-4889	311	3	conclusion	conclusion	NOUN
ap-4889	311	4	in	in	ADP
ap-4889	311	5	this	this	DET
ap-4889	311	6	paper	paper	NOUN
ap-4889	311	7	,	,	PUNCT
ap-4889	311	8	we	we	PRON
ap-4889	311	9	have	have	AUX
ap-4889	311	10	proposed	propose	VERB
ap-4889	311	11	a	a	DET
ap-4889	311	12	neuronal	neuronal	ADJ
ap-4889	311	13	approach	approach	NOUN
ap-4889	311	14	,	,	PUNCT
ap-4889	311	15	which	which	PRON
ap-4889	311	16	aims	aim	VERB
ap-4889	311	17	to	to	PART
ap-4889	311	18	develop	develop	VERB
ap-4889	311	19	a	a	DET
ap-4889	311	20	solution	solution	NOUN
ap-4889	311	21	based	base	VERB
ap-4889	311	22	on	on	ADP
ap-4889	311	23	neural	neural	ADJ
ap-4889	311	24	networks	network	NOUN
ap-4889	311	25	for	for	ADP
ap-4889	311	26	the	the	DET
ap-4889	311	27	on	on	ADP
ap-4889	311	28	-	-	PUNCT
ap-4889	311	29	line	line	NOUN
ap-4889	311	30	arabic	arabic	ADJ
ap-4889	311	31	manuscript	manuscript	PROPN
ap-4889	311	32	recognition	recognition	PROPN
ap-4889	311	33	acquired	acquire	VERB
ap-4889	311	34	dynamically	dynamically	ADV
ap-4889	311	35	.	.	PUNCT
ap-4889	312	1	with	with	ADP
ap-4889	312	2	the	the	DET
ap-4889	312	3	aim	aim	NOUN
ap-4889	312	4	of	of	ADP
ap-4889	312	5	performing	perform	VERB
ap-4889	312	6	the	the	DET
ap-4889	312	7	on	on	ADP
ap-4889	312	8	-	-	PUNCT
ap-4889	312	9	line	line	NOUN
ap-4889	312	10	recognition	recognition	NOUN
ap-4889	312	11	,	,	PUNCT
ap-4889	312	12	we	we	PRON
ap-4889	312	13	built	build	VERB
ap-4889	312	14	our	our	PRON
ap-4889	312	15	own	own	ADJ
ap-4889	312	16	database	database	NOUN
ap-4889	312	17	,	,	PUNCT
ap-4889	312	18	containing	contain	VERB
ap-4889	312	19	2800	2800	NUM
ap-4889	312	20	characters	character	NOUN
ap-4889	312	21	and	and	CCONJ
ap-4889	312	22	4800	4800	NUM
ap-4889	312	23	words	word	NOUN
ap-4889	312	24	.	.	PUNCT
ap-4889	313	1	we	we	PRON
ap-4889	313	2	divided	divide	VERB
ap-4889	313	3	our	our	PRON
ap-4889	313	4	work	work	NOUN
ap-4889	313	5	in	in	ADP
ap-4889	313	6	two	two	NUM
ap-4889	313	7	parts	part	NOUN
ap-4889	313	8	;	;	PUNCT
ap-4889	313	9	the	the	DET
ap-4889	313	10	first	first	ADJ
ap-4889	313	11	presents	present	VERB
ap-4889	313	12	a	a	DET
ap-4889	313	13	classic	classic	ADJ
ap-4889	313	14	neuronal	neuronal	ADJ
ap-4889	313	15	approach	approach	NOUN
ap-4889	313	16	using	use	VERB
ap-4889	313	17	these	these	DET
ap-4889	313	18	different	different	ADJ
ap-4889	313	19	neural	neural	ADJ
ap-4889	313	20	networks	network	NOUN
ap-4889	313	21	:	:	PUNCT
ap-4889	313	22	mlp	mlp	NOUN
ap-4889	313	23	,	,	PUNCT
ap-4889	313	24	tdnn	tdnn	NOUN
ap-4889	313	25	,	,	PUNCT
ap-4889	313	26	rbfne	rbfne	PROPN
ap-4889	313	27	,	,	PUNCT
ap-4889	313	28	rbf	rbf	PROPN
ap-4889	313	29	,	,	PUNCT
ap-4889	313	30	grnn	grnn	PROPN
ap-4889	313	31	and	and	CCONJ
ap-4889	313	32	pnn	pnn	PROPN
ap-4889	313	33	.	.	PUNCT
ap-4889	314	1	our	our	PRON
ap-4889	314	2	experiments	experiment	NOUN
ap-4889	314	3	on	on	ADP
ap-4889	314	4	the	the	DET
ap-4889	314	5	character	character	NOUN
ap-4889	314	6	recognition	recognition	NOUN
ap-4889	314	7	gave	give	VERB
ap-4889	314	8	interesting	interesting	ADJ
ap-4889	314	9	results	result	NOUN
ap-4889	314	10	,	,	PUNCT
ap-4889	314	11	such	such	ADJ
ap-4889	314	12	as	as	ADP
ap-4889	314	13	97.73	97.73	NUM
ap-4889	314	14	%	%	NOUN
ap-4889	314	15	success	success	NOUN
ap-4889	314	16	rate	rate	NOUN
ap-4889	314	17	for	for	ADP
ap-4889	314	18	m	m	PROPN
ap-4889	314	19	lp	lp	ADP
ap-4889	314	20	t	t	PROPN
ap-4889	314	21	d	d	PROPN
ap-4889	314	22	n	n	CCONJ
ap-4889	314	23	n	n	NOUN
ap-4889	314	24	r	r	NOUN
ap-4889	314	25	b	b	PROPN
ap-4889	314	26	f	f	NOUN
ap-4889	314	27	r	r	NOUN
ap-4889	314	28	b	b	PROPN
ap-4889	314	29	fe	fe	X
ap-4889	314	30	g	g	PROPN
ap-4889	314	31	r	r	PROPN
ap-4889	314	32	n	n	NOUN
ap-4889	314	33	n	n	NOUN
ap-4889	314	34	pn	pn	PROPN
ap-4889	314	35	n	n	PROPN
ap-4889	314	36	d	d	PROPN
ap-4889	314	37	b	b	PROPN
ap-4889	314	38	n	n	PROPN
ap-4889	314	39	0	0	NUM
ap-4889	314	40	10	10	NUM
ap-4889	314	41	20	20	NUM
ap-4889	314	42	30	30	NUM
ap-4889	314	43	40	40	NUM
ap-4889	314	44	50	50	NUM
ap-4889	314	45	60	60	NUM
ap-4889	314	46	70	70	NUM
ap-4889	314	47	80	80	NUM
ap-4889	314	48	90	90	NUM
ap-4889	314	49	100	100	NUM
ap-4889	314	50	classifier	classifier	NOUN
ap-4889	314	51	c	c	PROPN
ap-4889	314	52	la	la	PROPN
ap-4889	314	53	ss	ss	PROPN
ap-4889	314	54	ifi	ifi	PROPN
ap-4889	314	55	ca	can	AUX
ap-4889	314	56	ti	ti	PROPN
ap-4889	314	57	on	on	ADP
ap-4889	314	58	ra	ra	PROPN
ap-4889	314	59	te	te	PROPN
ap-4889	314	60	(	(	PUNCT
ap-4889	314	61	%	%	INTJ
ap-4889	314	62	)	)	PUNCT
ap-4889	314	63	figure	figure	NOUN
ap-4889	314	64	11	11	NUM
ap-4889	314	65	.	.	PUNCT
ap-4889	315	1	comparison	comparison	NOUN
ap-4889	315	2	between	between	ADP
ap-4889	315	3	the	the	DET
ap-4889	315	4	deep	deep	ADJ
ap-4889	315	5	neuronal	neuronal	ADJ
ap-4889	315	6	approach	approach	NOUN
ap-4889	315	7	(	(	PUNCT
ap-4889	315	8	dbn	dbn	PROPN
ap-4889	315	9	)	)	PUNCT
ap-4889	315	10	and	and	CCONJ
ap-4889	315	11	the	the	DET
ap-4889	315	12	classic	classic	ADJ
ap-4889	315	13	neuronal	neuronal	ADJ
ap-4889	315	14	approach	approach	NOUN
ap-4889	315	15	for	for	ADP
ap-4889	315	16	the	the	DET
ap-4889	315	17	arabic	arabic	ADJ
ap-4889	315	18	word	word	NOUN
ap-4889	315	19	recognition	recognition	PROPN
ap-4889	315	20	.	.	PUNCT
ap-4889	316	1	the	the	DET
ap-4889	316	2	mlp	mlp	NOUN
ap-4889	316	3	and	and	CCONJ
ap-4889	316	4	86.36	86.36	NUM
ap-4889	316	5	%	%	NOUN
ap-4889	316	6	for	for	ADP
ap-4889	316	7	the	the	DET
ap-4889	316	8	grnn	grnn	NOUN
ap-4889	316	9	.	.	PUNCT
ap-4889	317	1	nevertheless	nevertheless	ADV
ap-4889	317	2	,	,	PUNCT
ap-4889	317	3	the	the	DET
ap-4889	317	4	application	application	NOUN
ap-4889	317	5	of	of	ADP
ap-4889	317	6	the	the	DET
ap-4889	317	7	same	same	ADJ
ap-4889	317	8	architectures	architecture	NOUN
ap-4889	317	9	on	on	ADP
ap-4889	317	10	the	the	DET
ap-4889	317	11	word	word	NOUN
ap-4889	317	12	recognition	recognition	NOUN
ap-4889	317	13	significantly	significantly	ADV
ap-4889	317	14	deteriorates	deteriorate	VERB
ap-4889	317	15	the	the	DET
ap-4889	317	16	results	result	NOUN
ap-4889	317	17	,	,	PUNCT
ap-4889	317	18	which	which	PRON
ap-4889	317	19	did	do	AUX
ap-4889	317	20	not	not	PART
ap-4889	317	21	exceed	exceed	VERB
ap-4889	317	22	85.31	85.31	NUM
ap-4889	317	23	%	%	NOUN
ap-4889	317	24	for	for	ADP
ap-4889	317	25	the	the	DET
ap-4889	317	26	mlp	mlp	NOUN
ap-4889	317	27	and	and	CCONJ
ap-4889	317	28	81.85	81.85	NUM
ap-4889	317	29	%	%	NOUN
ap-4889	317	30	for	for	ADP
ap-4889	317	31	the	the	DET
ap-4889	317	32	rbf	rbf	PROPN
ap-4889	317	33	.	.	PUNCT
ap-4889	318	1	this	this	PRON
ap-4889	318	2	can	can	AUX
ap-4889	318	3	be	be	AUX
ap-4889	318	4	explained	explain	VERB
ap-4889	318	5	by	by	ADP
ap-4889	318	6	the	the	DET
ap-4889	318	7	complexity	complexity	NOUN
ap-4889	318	8	of	of	ADP
ap-4889	318	9	the	the	DET
ap-4889	318	10	input	input	NOUN
ap-4889	318	11	signal	signal	NOUN
ap-4889	318	12	and	and	CCONJ
ap-4889	318	13	the	the	DET
ap-4889	318	14	local	local	ADJ
ap-4889	318	15	minima	minima	PROPN
ap-4889	318	16	problem	problem	NOUN
ap-4889	318	17	.	.	PUNCT
ap-4889	319	1	the	the	DET
ap-4889	319	2	second	second	ADJ
ap-4889	319	3	approach	approach	NOUN
ap-4889	319	4	uses	use	VERB
ap-4889	319	5	a	a	DET
ap-4889	319	6	deep	deep	ADJ
ap-4889	319	7	learning	learning	NOUN
ap-4889	319	8	,	,	PUNCT
ap-4889	319	9	involving	involve	VERB
ap-4889	319	10	the	the	DET
ap-4889	319	11	dbn	dbn	NOUN
ap-4889	319	12	,	,	PUNCT
ap-4889	319	13	which	which	PRON
ap-4889	319	14	represents	represent	VERB
ap-4889	319	15	a	a	DET
ap-4889	319	16	stacking	stacking	NOUN
ap-4889	319	17	of	of	ADP
ap-4889	319	18	restricted	restrict	VERB
ap-4889	319	19	boltzmann	boltzmann	PROPN
ap-4889	319	20	machines	machine	NOUN
ap-4889	319	21	and	and	CCONJ
ap-4889	319	22	which	which	PRON
ap-4889	319	23	is	be	AUX
ap-4889	319	24	characterized	characterize	VERB
ap-4889	319	25	by	by	ADP
ap-4889	319	26	a	a	DET
ap-4889	319	27	layer	layer	NOUN
ap-4889	319	28	-	-	PUNCT
ap-4889	319	29	by	by	ADP
ap-4889	319	30	-	-	PUNCT
ap-4889	319	31	layer	layer	NOUN
ap-4889	319	32	learning	learning	NOUN
ap-4889	319	33	method	method	NOUN
ap-4889	319	34	.	.	PUNCT
ap-4889	320	1	this	this	DET
ap-4889	320	2	network	network	NOUN
ap-4889	320	3	significantly	significantly	ADV
ap-4889	320	4	improves	improve	VERB
ap-4889	320	5	the	the	DET
ap-4889	320	6	performance	performance	NOUN
ap-4889	320	7	for	for	ADP
ap-4889	320	8	the	the	DET
ap-4889	320	9	words	word	NOUN
ap-4889	320	10	database	database	NOUN
ap-4889	320	11	and	and	CCONJ
ap-4889	320	12	gives	give	VERB
ap-4889	320	13	a	a	DET
ap-4889	320	14	classification	classification	NOUN
ap-4889	320	15	rate	rate	NOUN
ap-4889	320	16	of	of	ADP
ap-4889	320	17	97.08	97.08	NUM
ap-4889	320	18	%	%	NOUN
ap-4889	320	19	.	.	PUNCT
ap-4889	321	1	in	in	ADP
ap-4889	321	2	fact	fact	NOUN
ap-4889	321	3	,	,	PUNCT
ap-4889	321	4	the	the	DET
ap-4889	321	5	dbn	dbn	PROPN
ap-4889	321	6	has	have	AUX
ap-4889	321	7	shown	show	VERB
ap-4889	321	8	its	its	PRON
ap-4889	321	9	ability	ability	NOUN
ap-4889	321	10	to	to	PART
ap-4889	321	11	exerts	exert	VERB
ap-4889	321	12	an	an	DET
ap-4889	321	13	excellent	excellent	ADJ
ap-4889	321	14	performance	performance	NOUN
ap-4889	321	15	for	for	ADP
ap-4889	321	16	the	the	DET
ap-4889	321	17	classification	classification	NOUN
ap-4889	321	18	tasks	task	NOUN
ap-4889	321	19	and	and	CCONJ
ap-4889	321	20	dimension	dimension	NOUN
ap-4889	321	21	reduction	reduction	NOUN
ap-4889	321	22	.	.	PUNCT
ap-4889	322	1	we	we	PRON
ap-4889	322	2	conclude	conclude	VERB
ap-4889	322	3	the	the	DET
ap-4889	322	4	superiority	superiority	NOUN
ap-4889	322	5	of	of	ADP
ap-4889	322	6	the	the	DET
ap-4889	322	7	deep	deep	ADJ
ap-4889	322	8	learning	learning	NOUN
ap-4889	322	9	network	network	NOUN
ap-4889	322	10	compared	compare	VERB
ap-4889	322	11	to	to	ADP
ap-4889	322	12	the	the	DET
ap-4889	322	13	classic	classic	ADJ
ap-4889	322	14	neural	neural	ADJ
ap-4889	322	15	networks	network	NOUN
ap-4889	322	16	.	.	PUNCT
ap-4889	323	1	we	we	PRON
ap-4889	323	2	also	also	ADV
ap-4889	323	3	note	note	VERB
ap-4889	323	4	that	that	SCONJ
ap-4889	323	5	the	the	DET
ap-4889	323	6	various	various	ADJ
ap-4889	323	7	parameters	parameter	NOUN
ap-4889	323	8	used	use	VERB
ap-4889	323	9	in	in	ADP
ap-4889	323	10	all	all	DET
ap-4889	323	11	the	the	DET
ap-4889	323	12	previous	previous	ADJ
ap-4889	323	13	neural	neural	ADJ
ap-4889	323	14	architectures	architecture	NOUN
ap-4889	323	15	have	have	AUX
ap-4889	323	16	allowed	allow	VERB
ap-4889	323	17	us	we	PRON
ap-4889	323	18	to	to	PART
ap-4889	323	19	obtain	obtain	VERB
ap-4889	323	20	the	the	DET
ap-4889	323	21	best	good	ADJ
ap-4889	323	22	classification	classification	NOUN
ap-4889	323	23	rates	rate	NOUN
ap-4889	323	24	.	.	PUNCT
ap-4889	324	1	references	reference	NOUN
ap-4889	324	2	[	[	X
ap-4889	324	3	1	1	NUM
ap-4889	324	4	]	]	X
ap-4889	324	5	n.	n.	PROPN
ap-4889	324	6	ben	ben	PROPN
ap-4889	324	7	amara	amara	PROPN
ap-4889	324	8	,	,	PUNCT
ap-4889	324	9	a.	a.	NOUN
ap-4889	324	10	belaïd	belaïd	NOUN
ap-4889	324	11	.	.	PUNCT
ap-4889	325	1	modélisation	modélisation	NOUN
ap-4889	325	2	pseudo	pseudo	NOUN
ap-4889	325	3	bidimensionnelle	bidimensionnelle	NOUN
ap-4889	325	4	pour	pour	VERB
ap-4889	325	5	la	la	DET
ap-4889	325	6	reconnaissance	reconnaissance	PROPN
ap-4889	325	7	de	de	X
ap-4889	325	8	chaînes	chaînes	X
ap-4889	325	9	de	de	X
ap-4889	325	10	caractères	caractères	PROPN
ap-4889	325	11	arabes	arabe	NOUN
ap-4889	325	12	imprimés	imprimés	NOUN
ap-4889	325	13	.	.	PUNCT
ap-4889	326	1	in	in	ADP
ap-4889	326	2	colloque	colloque	PROPN
ap-4889	326	3	international	international	PROPN
ap-4889	326	4	francophone	francophone	X
ap-4889	326	5	sur	sur	PROPN
ap-4889	326	6	l’ecrit	l’ecrit	PROPN
ap-4889	326	7	et	et	PROPN
ap-4889	326	8	le	le	PROPN
ap-4889	326	9	documernt	documernt	PROPN
ap-4889	326	10	cifed’98	cifed’98	PROPN
ap-4889	326	11	,	,	PUNCT
ap-4889	326	12	pp	pp	ADJ
ap-4889	326	13	.	.	PUNCT
ap-4889	327	1	131–141	131–141	NUM
ap-4889	327	2	.	.	X
ap-4889	327	3	québec	québec	PROPN
ap-4889	327	4	,	,	PUNCT
ap-4889	327	5	canada	canada	PROPN
ap-4889	327	6	,	,	PUNCT
ap-4889	327	7	1998	1998	NUM
ap-4889	327	8	.	.	PUNCT
ap-4889	328	1	colloque	colloque	PROPN
ap-4889	328	2	avec	avec	PROPN
ap-4889	328	3	actes	actes	PROPN
ap-4889	328	4	et	et	PROPN
ap-4889	328	5	comité	comité	PROPN
ap-4889	328	6	de	de	X
ap-4889	328	7	lecture	lecture	NOUN
ap-4889	328	8	.	.	PUNCT
ap-4889	329	1	[	[	X
ap-4889	329	2	2	2	NUM
ap-4889	329	3	]	]	X
ap-4889	329	4	r.	r.	PROPN
ap-4889	329	5	rabiner	rabiner	PROPN
ap-4889	329	6	,	,	PUNCT
ap-4889	329	7	l	l	PROPN
ap-4889	329	8	,	,	PUNCT
ap-4889	329	9	h.	h.	PROPN
ap-4889	329	10	juang	juang	PROPN
ap-4889	329	11	,	,	PUNCT
ap-4889	329	12	b.	b.	PROPN
ap-4889	329	13	an	an	DET
ap-4889	329	14	introduction	introduction	NOUN
ap-4889	329	15	to	to	ADP
ap-4889	329	16	hidden	hide	VERB
ap-4889	329	17	markov	markov	NOUN
ap-4889	329	18	models	model	NOUN
ap-4889	329	19	.	.	PUNCT
ap-4889	330	1	pp	pp	ADJ
ap-4889	330	2	.	.	PUNCT
ap-4889	331	1	4–16	4–16	PROPN
ap-4889	331	2	.	.	PUNCT
ap-4889	332	1	ieee	ieee	PROPN
ap-4889	332	2	assp	assp	PROPN
ap-4889	332	3	magazine	magazine	NOUN
ap-4889	332	4	,	,	PUNCT
ap-4889	332	5	1986	1986	NUM
ap-4889	332	6	.	.	PUNCT
ap-4889	333	1	[	[	X
ap-4889	333	2	3	3	X
ap-4889	333	3	]	]	X
ap-4889	333	4	l.	l.	PROPN
ap-4889	333	5	cheng	cheng	PROPN
ap-4889	333	6	-	-	PUNCT
ap-4889	333	7	lin	lin	PROPN
ap-4889	333	8	,	,	PUNCT
ap-4889	333	9	j.	j.	PROPN
ap-4889	333	10	stefan	stefan	PROPN
ap-4889	333	11	,	,	PUNCT
ap-4889	333	12	n.	n.	PROPN
ap-4889	333	13	masaki	masaki	PROPN
ap-4889	333	14	.	.	PUNCT
ap-4889	334	1	online	online	PROPN
ap-4889	334	2	recognition	recognition	NOUN
ap-4889	334	3	of	of	ADP
ap-4889	334	4	chinese	chinese	ADJ
ap-4889	334	5	characters	character	NOUN
ap-4889	334	6	:	:	PUNCT
ap-4889	334	7	the	the	DET
ap-4889	334	8	state	state	NOUN
ap-4889	334	9	-	-	PUNCT
ap-4889	334	10	of	of	ADP
ap-4889	334	11	-	-	PUNCT
ap-4889	334	12	the	the	DET
ap-4889	334	13	-	-	PUNCT
ap-4889	334	14	art	art	NOUN
ap-4889	334	15	.	.	PUNCT
ap-4889	335	1	ieee	ieee	NOUN
ap-4889	335	2	transactions	transaction	NOUN
ap-4889	335	3	on	on	ADP
ap-4889	335	4	pattern	pattern	NOUN
ap-4889	335	5	analysis	analysis	NOUN
ap-4889	335	6	and	and	CCONJ
ap-4889	335	7	machine	machine	NOUN
ap-4889	335	8	intelligence	intelligence	NOUN
ap-4889	335	9	26(2):198–213	26(2):198–213	PROPN
ap-4889	335	10	,	,	PUNCT
ap-4889	335	11	2004	2004	NUM
ap-4889	335	12	.	.	PUNCT
ap-4889	336	1	doi:10.1109	doi:10.1109	VERB
ap-4889	336	2	/	/	SYM
ap-4889	336	3	tpami.2004.1262182	tpami.2004.1262182	NOUN
ap-4889	336	4	.	.	PUNCT
ap-4889	337	1	[	[	X
ap-4889	337	2	4	4	X
ap-4889	337	3	]	]	PUNCT
ap-4889	337	4	k.	k.	NOUN
ap-4889	337	5	yousri	yousri	PROPN
ap-4889	337	6	,	,	PUNCT
ap-4889	337	7	p.	p.	PROPN
ap-4889	337	8	thierry	thierry	PROPN
ap-4889	337	9	,	,	PUNCT
ap-4889	337	10	b.	b.	PROPN
ap-4889	337	11	h.	h.	PROPN
ap-4889	337	12	abdelmajid	abdelmajid	PROPN
ap-4889	337	13	.	.	PUNCT
ap-4889	338	1	a	a	DET
ap-4889	338	2	multi	multi	ADJ
ap-4889	338	3	-	-	ADJ
ap-4889	338	4	lingual	lingual	ADJ
ap-4889	338	5	recognition	recognition	NOUN
ap-4889	338	6	system	system	NOUN
ap-4889	338	7	for	for	ADP
ap-4889	338	8	arabic	arabic	ADJ
ap-4889	338	9	and	and	CCONJ
ap-4889	338	10	latin	latin	ADJ
ap-4889	338	11	handwriting	handwriting	NOUN
ap-4889	338	12	.	.	PUNCT
ap-4889	339	1	in	in	ADP
ap-4889	339	2	proceedings	proceeding	NOUN
ap-4889	339	3	of	of	ADP
ap-4889	339	4	the	the	DET
ap-4889	339	5	2009	2009	NUM
ap-4889	339	6	,	,	PUNCT
ap-4889	339	7	10th	10th	ADJ
ap-4889	339	8	international	international	ADJ
ap-4889	339	9	conference	conference	NOUN
ap-4889	339	10	on	on	ADP
ap-4889	339	11	document	document	NOUN
ap-4889	339	12	analysis	analysis	NOUN
ap-4889	339	13	and	and	CCONJ
ap-4889	339	14	recognition	recognition	NOUN
ap-4889	339	15	,	,	PUNCT
ap-4889	339	16	pp	pp	X
ap-4889	339	17	.	.	PUNCT
ap-4889	340	1	1196–1200	1196–1200	NUM
ap-4889	340	2	.	.	PUNCT
ap-4889	341	1	july	july	PROPN
ap-4889	341	2	26	26	NUM
ap-4889	341	3	-	-	SYM
ap-4889	341	4	29	29	NUM
ap-4889	341	5	,	,	PUNCT
ap-4889	341	6	2009	2009	NUM
ap-4889	341	7	.	.	PUNCT
ap-4889	342	1	doi:10.1109	doi:10.1109	VERB
ap-4889	342	2	/	/	SYM
ap-4889	342	3	icdar.2009.55	icdar.2009.55	NOUN
ap-4889	342	4	.	.	PUNCT
ap-4889	343	1	306	306	NUM
ap-4889	343	2	http://dx.doi.org/10.1109/tpami.2004.1262182	http://dx.doi.org/10.1109/tpami.2004.1262182	NOUN
ap-4889	343	3	http://dx.doi.org/10.1109/icdar.2009.55	http://dx.doi.org/10.1109/icdar.2009.55	NUM
ap-4889	343	4	vol	vol	NOUN
ap-4889	343	5	.	.	PUNCT
ap-4889	344	1	58	58	NUM
ap-4889	344	2	no	no	INTJ
ap-4889	344	3	.	.	PUNCT
ap-4889	345	1	5/2018	5/2018	NUM
ap-4889	345	2	new	new	ADJ
ap-4889	345	3	approach	approach	NOUN
ap-4889	345	4	for	for	ADP
ap-4889	345	5	online	online	ADJ
ap-4889	345	6	arabic	arabic	ADJ
ap-4889	345	7	manuscript	manuscript	PROPN
ap-4889	345	8	recongnition	recongnition	NOUN
ap-4889	345	9	by	by	ADP
ap-4889	345	10	deep	deep	ADJ
ap-4889	345	11	belief	belief	NOUN
ap-4889	345	12	network	network	NOUN
ap-4889	345	13	[	[	X
ap-4889	345	14	5	5	NUM
ap-4889	345	15	]	]	PUNCT
ap-4889	345	16	m.	m.	NOUN
ap-4889	345	17	volker	volker	NOUN
ap-4889	345	18	,	,	PUNCT
ap-4889	345	19	e.	e.	PROPN
ap-4889	345	20	a.	a.	PROPN
ap-4889	345	21	haikal	haikal	PROPN
ap-4889	345	22	.	.	PUNCT
ap-4889	346	1	databases	database	NOUN
ap-4889	346	2	and	and	CCONJ
ap-4889	346	3	competitions	competition	NOUN
ap-4889	346	4	:	:	PUNCT
ap-4889	346	5	strategies	strategy	NOUN
ap-4889	346	6	to	to	PART
ap-4889	346	7	improve	improve	VERB
ap-4889	346	8	arabic	arabic	ADJ
ap-4889	346	9	recognition	recognition	NOUN
ap-4889	346	10	systems	system	NOUN
ap-4889	346	11	.	.	PUNCT
ap-4889	347	1	in	in	ADP
ap-4889	347	2	proceedings	proceeding	NOUN
ap-4889	347	3	of	of	ADP
ap-4889	347	4	the	the	DET
ap-4889	347	5	2006	2006	NUM
ap-4889	347	6	conference	conference	NOUN
ap-4889	347	7	on	on	ADP
ap-4889	347	8	arabic	arabic	ADJ
ap-4889	347	9	and	and	CCONJ
ap-4889	347	10	chinese	chinese	ADJ
ap-4889	347	11	handwriting	handwriting	NOUN
ap-4889	347	12	recognition	recognition	NOUN
ap-4889	347	13	,	,	PUNCT
ap-4889	347	14	pp	pp	PROPN
ap-4889	347	15	.	.	PUNCT
ap-4889	348	1	82–103	82–103	NUM
ap-4889	348	2	.	.	PUNCT
ap-4889	348	3	college	college	NOUN
ap-4889	348	4	park	park	PROPN
ap-4889	348	5	,	,	PUNCT
ap-4889	348	6	md	md	PROPN
ap-4889	348	7	,	,	PUNCT
ap-4889	348	8	usa	usa	PROPN
ap-4889	348	9	,	,	PUNCT
ap-4889	348	10	september	september	PROPN
ap-4889	348	11	27	27	NUM
ap-4889	348	12	-	-	SYM
ap-4889	348	13	28	28	NUM
ap-4889	348	14	,	,	PUNCT
ap-4889	348	15	2006	2006	NUM
ap-4889	348	16	.	.	PUNCT
ap-4889	349	1	doi:10.1109	doi:10.1109	VERB
ap-4889	349	2	/	/	SYM
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ap-4889	349	4	.	.	PUNCT
ap-4889	350	1	[	[	X
ap-4889	350	2	6	6	NUM
ap-4889	350	3	]	]	PUNCT
ap-4889	350	4	e.	e.	PROPN
ap-4889	350	5	mohamed	mohamed	PROPN
ap-4889	350	6	,	,	PUNCT
ap-4889	350	7	t.	t.	PROPN
ap-4889	350	8	najiba	najiba	PROPN
ap-4889	350	9	,	,	PUNCT
ap-4889	350	10	k.	k.	PROPN
ap-4889	350	11	monji	monji	PROPN
ap-4889	350	12	.	.	PUNCT
ap-4889	351	1	optimization	optimization	NOUN
ap-4889	351	2	of	of	ADP
ap-4889	351	3	dbn	dbn	PROPN
ap-4889	351	4	using	use	VERB
ap-4889	351	5	regularization	regularization	NOUN
ap-4889	351	6	methods	method	NOUN
ap-4889	351	7	applied	apply	VERB
ap-4889	351	8	for	for	ADP
ap-4889	351	9	recognizing	recognize	VERB
ap-4889	351	10	arabic	arabic	ADJ
ap-4889	351	11	handwritten	handwritten	ADJ
ap-4889	351	12	script	script	NOUN
ap-4889	351	13	.	.	PUNCT
ap-4889	352	1	in	in	ADP
ap-4889	352	2	international	international	ADJ
ap-4889	352	3	conference	conference	NOUN
ap-4889	352	4	on	on	ADP
ap-4889	352	5	computational	computational	ADJ
ap-4889	352	6	science	science	NOUN
ap-4889	352	7	,	,	PUNCT
ap-4889	352	8	iccs	iccs	NOUN
ap-4889	352	9	.	.	PROPN
ap-4889	353	1	12	12	NUM
ap-4889	353	2	-	-	SYM
ap-4889	353	3	14	14	NUM
ap-4889	353	4	june	june	PROPN
ap-4889	353	5	2017	2017	NUM
ap-4889	353	6	.	.	PUNCT
ap-4889	354	1	doi:10.1016	doi:10.1016	PROPN
ap-4889	354	2	/	/	SYM
ap-4889	354	3	j.procs.2017.05.070	j.procs.2017.05.070	PROPN
ap-4889	354	4	.	.	PUNCT
ap-4889	355	1	[	[	X
ap-4889	355	2	7	7	X
ap-4889	355	3	]	]	X
ap-4889	355	4	m.	m.	NOUN
ap-4889	355	5	neila	neila	NOUN
ap-4889	355	6	,	,	PUNCT
ap-4889	355	7	m.	m.	NOUN
ap-4889	355	8	amar	amar	PROPN
ap-4889	355	9	,	,	PUNCT
ap-4889	355	10	c.	c.	PROPN
ap-4889	355	11	mohamed	mohamed	PROPN
ap-4889	355	12	.	.	PUNCT
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ap-4889	356	3	of	of	ADP
ap-4889	356	4	online	online	ADJ
ap-4889	356	5	arabic	arabic	ADJ
ap-4889	356	6	characters	character	NOUN
ap-4889	356	7	by	by	ADP
ap-4889	356	8	gibbs	gibbs	PROPN
ap-4889	356	9	modeling	modeling	NOUN
ap-4889	356	10	of	of	ADP
ap-4889	356	11	class	class	NOUN
ap-4889	356	12	conditional	conditional	ADJ
ap-4889	356	13	densities	density	NOUN
ap-4889	356	14	.	.	PUNCT
ap-4889	357	1	ieee	ieee	NOUN
ap-4889	357	2	transactions	transaction	NOUN
ap-4889	357	3	on	on	ADP
ap-4889	357	4	pattern	pattern	NOUN
ap-4889	357	5	analysis	analysis	NOUN
ap-4889	357	6	and	and	CCONJ
ap-4889	357	7	machine	machine	NOUN
ap-4889	357	8	intelligence	intelligence	NOUN
ap-4889	357	9	30(7):1121–1131	30(7):1121–1131	PROPN
ap-4889	357	10	,	,	PUNCT
ap-4889	357	11	2008	2008	NUM
ap-4889	357	12	.	.	PUNCT
ap-4889	358	1	doi:10.1109	doi:10.1109	VERB
ap-4889	358	2	/	/	SYM
ap-4889	358	3	tpami.2007.70753	tpami.2007.70753	PROPN
ap-4889	358	4	.	.	PUNCT
ap-4889	359	1	[	[	X
ap-4889	359	2	8	8	NUM
ap-4889	359	3	]	]	PUNCT
ap-4889	359	4	m.	m.	NOUN
ap-4889	359	5	neila	neila	NOUN
ap-4889	359	6	,	,	PUNCT
ap-4889	359	7	c.	c.	PROPN
ap-4889	359	8	mohamed	mohamed	PROPN
ap-4889	359	9	,	,	PUNCT
ap-4889	359	10	m.	m.	PROPN
ap-4889	359	11	amar	amar	PROPN
ap-4889	359	12	.	.	PUNCT
ap-4889	359	13	combination	combination	NOUN
ap-4889	359	14	of	of	ADP
ap-4889	359	15	pruned	prune	VERB
ap-4889	359	16	kohonen	kohonen	PROPN
ap-4889	359	17	maps	map	NOUN
ap-4889	359	18	for	for	ADP
ap-4889	359	19	on	on	ADP
ap-4889	359	20	-	-	PUNCT
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ap-4889	359	22	arabic	arabic	ADJ
ap-4889	359	23	characters	character	NOUN
ap-4889	359	24	recognition	recognition	PROPN
ap-4889	359	25	.	.	PUNCT
ap-4889	360	1	in	in	ADP
ap-4889	360	2	proceedings	proceeding	NOUN
ap-4889	360	3	of	of	ADP
ap-4889	360	4	the	the	DET
ap-4889	360	5	seventh	seventh	ADJ
ap-4889	360	6	international	international	ADJ
ap-4889	360	7	conference	conference	NOUN
ap-4889	360	8	on	on	ADP
ap-4889	360	9	document	document	NOUN
ap-4889	360	10	analysis	analysis	NOUN
ap-4889	360	11	and	and	CCONJ
ap-4889	360	12	recognition	recognition	NOUN
ap-4889	360	13	,	,	PUNCT
ap-4889	360	14	p.	p.	NOUN
ap-4889	360	15	900	900	NUM
ap-4889	360	16	.	.	PUNCT
ap-4889	361	1	august	august	PROPN
ap-4889	361	2	03	03	NUM
ap-4889	361	3	-	-	SYM
ap-4889	361	4	06	06	NUM
ap-4889	361	5	,	,	PUNCT
ap-4889	361	6	2003	2003	NUM
ap-4889	361	7	.	.	PUNCT
ap-4889	362	1	doi:10.1109	doi:10.1109	VERB
ap-4889	362	2	/	/	SYM
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ap-4889	362	4	.	.	PUNCT
ap-4889	363	1	[	[	X
ap-4889	363	2	9	9	NUM
ap-4889	363	3	]	]	X
ap-4889	363	4	f.	f.	PROPN
ap-4889	363	5	biadsy	biadsy	PROPN
ap-4889	363	6	,	,	PUNCT
ap-4889	363	7	j.	j.	PROPN
ap-4889	363	8	el	el	PROPN
ap-4889	363	9	-	-	PUNCT
ap-4889	363	10	sana	sana	PROPN
ap-4889	363	11	,	,	PUNCT
ap-4889	363	12	n.	n.	PROPN
ap-4889	363	13	habash	habash	PROPN
ap-4889	363	14	.	.	PUNCT
ap-4889	364	1	online	online	ADJ
ap-4889	364	2	arabic	arabic	ADJ
ap-4889	364	3	handwriting	handwriting	NOUN
ap-4889	364	4	recognition	recognition	NOUN
ap-4889	364	5	using	use	VERB
ap-4889	364	6	hidden	hide	VERB
ap-4889	364	7	markov	markov	NOUN
ap-4889	364	8	models	model	NOUN
ap-4889	364	9	,	,	PUNCT
ap-4889	364	10	2006	2006	NUM
ap-4889	364	11	.	.	PUNCT
ap-4889	365	1	[	[	X
ap-4889	365	2	10	10	NUM
ap-4889	365	3	]	]	X
ap-4889	365	4	s.	s.	PROPN
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ap-4889	365	6	,	,	PUNCT
ap-4889	365	7	a.	a.	PROPN
ap-4889	365	8	boukelif	boukelif	PROPN
ap-4889	365	9	.	.	PUNCT
ap-4889	366	1	features	feature	VERB
ap-4889	366	2	extraction	extraction	NOUN
ap-4889	366	3	and	and	CCONJ
ap-4889	366	4	on	on	ADP
ap-4889	366	5	-	-	PUNCT
ap-4889	366	6	line	line	NOUN
ap-4889	366	7	recognition	recognition	NOUN
ap-4889	366	8	of	of	ADP
ap-4889	366	9	isolated	isolated	ADJ
ap-4889	366	10	arabic	arabic	ADJ
ap-4889	366	11	characters	character	NOUN
ap-4889	366	12	,	,	PUNCT
ap-4889	366	13	pp	pp	ADP
ap-4889	366	14	.	.	PUNCT
ap-4889	367	1	481–500	481–500	NUM
ap-4889	367	2	.	.	NOUN
ap-4889	367	3	2018	2018	NUM
ap-4889	367	4	.	.	PUNCT
ap-4889	368	1	doi:10.1007/978	doi:10.1007/978	NOUN
ap-4889	368	2	-	-	PUNCT
ap-4889	368	3	3	3	NUM
ap-4889	368	4	-	-	NUM
ap-4889	368	5	319	319	NUM
ap-4889	368	6	-	-	PUNCT
ap-4889	368	7	67056	67056	NUM
ap-4889	368	8	-	-	PUNCT
ap-4889	368	9	0_23	0_23	NOUN
ap-4889	368	10	.	.	PUNCT
ap-4889	369	1	[	[	X
ap-4889	369	2	11	11	NUM
ap-4889	369	3	]	]	X
ap-4889	369	4	y.	y.	PROPN
ap-4889	369	5	bengio	bengio	PROPN
ap-4889	369	6	,	,	PUNCT
ap-4889	369	7	p.	p.	PROPN
ap-4889	369	8	lamblin	lamblin	PROPN
ap-4889	369	9	,	,	PUNCT
ap-4889	369	10	v.	v.	ADP
ap-4889	369	11	popovici	popovici	NOUN
ap-4889	369	12	,	,	PUNCT
ap-4889	369	13	h.	h.	PROPN
ap-4889	369	14	larochelle	larochelle	PROPN
ap-4889	369	15	.	.	PUNCT
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ap-4889	370	2	layer	layer	NOUN
ap-4889	370	3	-	-	PUNCT
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ap-4889	370	5	training	training	NOUN
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ap-4889	370	7	deep	deep	ADJ
ap-4889	370	8	networks	network	NOUN
ap-4889	370	9	.	.	PUNCT
ap-4889	371	1	in	in	ADP
ap-4889	371	2	advances	advance	NOUN
ap-4889	371	3	in	in	ADP
ap-4889	371	4	neural	neural	ADJ
ap-4889	371	5	information	information	NOUN
ap-4889	371	6	processing	processing	NOUN
ap-4889	371	7	systems	system	NOUN
ap-4889	371	8	19,eds	19,eds	NUM
ap-4889	371	9	schölkopf	schölkopf	ADJ
ap-4889	371	10	b	b	PROPN
ap-4889	371	11	,	,	PUNCT
ap-4889	371	12	platt	platt	PROPN
ap-4889	371	13	j	j	PROPN
ap-4889	371	14	,	,	PUNCT
ap-4889	371	15	hoffman	hoffman	PROPN
ap-4889	371	16	t	t	PROPN
ap-4889	371	17	,	,	PUNCT
ap-4889	371	18	editors	editor	NOUN
ap-4889	371	19	(	(	PUNCT
ap-4889	371	20	vancouver	vancouver	NOUN
ap-4889	371	21	:	:	PUNCT
ap-4889	371	22	mit	mit	PROPN
ap-4889	371	23	press	press	NOUN
ap-4889	371	24	)	)	PUNCT
ap-4889	371	25	pp	pp	ADP
ap-4889	371	26	.	.	PUNCT
ap-4889	372	1	153–160	153–160	NUM
ap-4889	372	2	,	,	PUNCT
ap-4889	372	3	2007	2007	NUM
ap-4889	372	4	.	.	PUNCT
ap-4889	373	1	[	[	X
ap-4889	373	2	12	12	NUM
ap-4889	373	3	]	]	X
ap-4889	373	4	g.	g.	PROPN
ap-4889	373	5	hinton	hinton	PROPN
ap-4889	373	6	,	,	PUNCT
ap-4889	373	7	s.	s.	PROPN
ap-4889	373	8	osindero	osindero	PROPN
ap-4889	373	9	,	,	PUNCT
ap-4889	373	10	yee	yee	PROPN
ap-4889	373	11	-	-	PUNCT
ap-4889	373	12	whyeteh	whyeteh	NOUN
ap-4889	373	13	.	.	PUNCT
ap-4889	374	1	a	a	DET
ap-4889	374	2	fast	fast	ADJ
ap-4889	374	3	learning	learn	VERB
ap-4889	374	4	algorithm	algorithm	NOUN
ap-4889	374	5	for	for	ADP
ap-4889	374	6	deep	deep	ADJ
ap-4889	374	7	belief	belief	NOUN
ap-4889	374	8	nets	net	NOUN
ap-4889	374	9	.	.	PUNCT
ap-4889	375	1	neural	neural	ADJ
ap-4889	375	2	computation	computation	NOUN
ap-4889	375	3	18(7):1527–1554	18(7):1527–1554	NUM
ap-4889	375	4	,	,	PUNCT
ap-4889	375	5	2006	2006	NUM
ap-4889	375	6	.	.	PUNCT
ap-4889	376	1	[	[	X
ap-4889	376	2	13	13	NUM
ap-4889	376	3	]	]	X
ap-4889	376	4	e.	e.	PROPN
ap-4889	376	5	dumitru	dumitru	PROPN
ap-4889	376	6	,	,	PUNCT
ap-4889	376	7	m.	m.	NOUN
ap-4889	376	8	pierre	pierre	PROPN
ap-4889	376	9	-	-	PUNCT
ap-4889	376	10	antoine	antoine	PROPN
ap-4889	376	11	,	,	PUNCT
ap-4889	376	12	b.	b.	PROPN
ap-4889	376	13	yoshua	yoshua	PROPN
ap-4889	376	14	,	,	PUNCT
ap-4889	376	15	et	et	PROPN
ap-4889	376	16	al	al	PROPN
ap-4889	376	17	.	.	PUNCT
ap-4889	377	1	the	the	DET
ap-4889	377	2	difficulty	difficulty	NOUN
ap-4889	377	3	of	of	ADP
ap-4889	377	4	training	train	VERB
ap-4889	377	5	deep	deep	ADJ
ap-4889	377	6	architectures	architecture	NOUN
ap-4889	377	7	and	and	CCONJ
ap-4889	377	8	the	the	DET
ap-4889	377	9	effect	effect	NOUN
ap-4889	377	10	of	of	ADP
ap-4889	377	11	unsupervised	unsupervised	ADJ
ap-4889	377	12	pre	pre	NOUN
ap-4889	377	13	-	-	NOUN
ap-4889	377	14	training	training	NOUN
ap-4889	377	15	.	.	PUNCT
ap-4889	378	1	in	in	ADP
ap-4889	378	2	international	international	ADJ
ap-4889	378	3	conference	conference	NOUN
ap-4889	378	4	on	on	ADP
ap-4889	378	5	artificial	artificial	ADJ
ap-4889	378	6	intelligence	intelligence	NOUN
ap-4889	378	7	and	and	CCONJ
ap-4889	378	8	statistics	statistic	NOUN
ap-4889	378	9	,	,	PUNCT
ap-4889	378	10	pp	pp	ADV
ap-4889	378	11	.	.	PUNCT
ap-4889	379	1	153–160	153–160	NUM
ap-4889	379	2	.	.	NOUN
ap-4889	379	3	2009	2009	NUM
ap-4889	379	4	.	.	PUNCT
ap-4889	380	1	[	[	X
ap-4889	380	2	14	14	NUM
ap-4889	380	3	]	]	X
ap-4889	380	4	i.	i.	NOUN
ap-4889	380	5	guyon	guyon	PROPN
ap-4889	380	6	,	,	PUNCT
ap-4889	380	7	p.	p.	NOUN
ap-4889	380	8	albrecht	albrecht	PROPN
ap-4889	380	9	,	,	PUNCT
ap-4889	380	10	i.	i.	PROPN
ap-4889	380	11	le	le	PROPN
ap-4889	380	12	cun	cun	PROPN
ap-4889	380	13	,	,	PUNCT
ap-4889	380	14	al	al	PROPN
ap-4889	380	15	.	.	PROPN
ap-4889	380	16	design	design	NOUN
ap-4889	380	17	of	of	ADP
ap-4889	380	18	a	a	DET
ap-4889	380	19	neural	neural	ADJ
ap-4889	380	20	network	network	NOUN
ap-4889	380	21	character	character	NOUN
ap-4889	380	22	recognizer	recognizer	NOUN
ap-4889	380	23	for	for	ADP
ap-4889	380	24	a	a	DET
ap-4889	380	25	touch	touch	NOUN
ap-4889	380	26	terminal	terminal	NOUN
ap-4889	380	27	.	.	PUNCT
ap-4889	381	1	pattern	pattern	NOUN
ap-4889	381	2	recognition	recognition	NOUN
ap-4889	381	3	24(2):105–119	24(2):105–119	NOUN
ap-4889	381	4	,	,	PUNCT
ap-4889	381	5	1991	1991	NUM
ap-4889	381	6	.	.	PUNCT
ap-4889	382	1	doi:10.1016/0031	doi:10.1016/0031	NOUN
ap-4889	382	2	-	-	PUNCT
ap-4889	382	3	3203(91)90081	3203(91)90081	NUM
ap-4889	382	4	-	-	NOUN
ap-4889	382	5	f.	f.	NOUN
ap-4889	383	1	[	[	X
ap-4889	383	2	15	15	NUM
ap-4889	383	3	]	]	X
ap-4889	383	4	p.	p.	NOUN
ap-4889	383	5	burrascano	burrascano	PROPN
ap-4889	383	6	.	.	PUNCT
ap-4889	384	1	learning	learn	VERB
ap-4889	384	2	vector	vector	NOUN
ap-4889	384	3	quantization	quantization	NOUN
ap-4889	384	4	for	for	ADP
ap-4889	384	5	the	the	DET
ap-4889	384	6	probabilistic	probabilistic	ADJ
ap-4889	384	7	neural	neural	ADJ
ap-4889	384	8	network	network	NOUN
ap-4889	384	9	.	.	PUNCT
ap-4889	385	1	ieee	ieee	NOUN
ap-4889	385	2	transactions	transaction	NOUN
ap-4889	385	3	on	on	ADP
ap-4889	385	4	neural	neural	ADJ
ap-4889	385	5	networks	network	NOUN
ap-4889	385	6	2(4):458–461	2(4):458–461	NUM
ap-4889	385	7	,	,	PUNCT
ap-4889	385	8	1991	1991	NUM
ap-4889	385	9	.	.	PUNCT
ap-4889	386	1	doi:10.1109/72.88165	doi:10.1109/72.88165	PROPN
ap-4889	386	2	.	.	PUNCT
ap-4889	387	1	[	[	X
ap-4889	387	2	16	16	NUM
ap-4889	387	3	]	]	PUNCT
ap-4889	387	4	k.	k.	PROPN
ap-4889	387	5	kim	kim	PROPN
ap-4889	387	6	,	,	PUNCT
ap-4889	387	7	d	d	PROPN
ap-4889	387	8	,	,	PUNCT
ap-4889	387	9	h.	h.	PROPN
ap-4889	387	10	kim	kim	PROPN
ap-4889	387	11	,	,	PUNCT
ap-4889	387	12	d	d	PROPN
ap-4889	387	13	,	,	PUNCT
ap-4889	387	14	k.	k.	PROPN
ap-4889	387	15	chang	chang	PROPN
ap-4889	387	16	,	,	PUNCT
ap-4889	387	17	se	se	PROPN
ap-4889	387	18	,	,	PUNCT
ap-4889	387	19	k.	k.	PROPN
ap-4889	387	20	chang	chang	PROPN
ap-4889	387	21	,	,	PUNCT
ap-4889	387	22	sa	sa	PROPN
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ap-4889	387	25	probabilistic	probabilistic	ADJ
ap-4889	387	26	neural	neural	ADJ
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ap-4889	387	29	heterogeneous	heterogeneous	ADJ
ap-4889	387	30	probabilistic	probabilistic	ADJ
ap-4889	387	31	density	density	NOUN
ap-4889	387	32	functions	function	NOUN
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ap-4889	387	35	design	design	NOUN
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ap-4889	388	6	11(2):65–71	11(2):65–71	NUM
ap-4889	388	7	,	,	PUNCT
ap-4889	388	8	2007	2007	NUM
ap-4889	388	9	.	.	PUNCT
ap-4889	389	1	doi:10.1007	doi:10.1007	PROPN
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ap-4889	390	2	17	17	NUM
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ap-4889	390	10	basis	basis	NOUN
ap-4889	390	11	functions	function	NOUN
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ap-4889	390	13	multivariable	multivariable	ADJ
ap-4889	390	14	interpolation	interpolation	NOUN
ap-4889	390	15	:	:	PUNCT
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ap-4889	390	17	review	review	NOUN
ap-4889	390	18	.	.	PUNCT
ap-4889	391	1	in	in	ADP
ap-4889	391	2	algorithms	algorithm	NOUN
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ap-4889	391	4	approximation	approximation	NOUN
ap-4889	391	5	,	,	PUNCT
ap-4889	391	6	pp	pp	ADJ
ap-4889	391	7	.	.	PUNCT
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ap-4889	392	2	.	.	PUNCT
ap-4889	393	1	clarendon	clarendon	PROPN
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ap-4889	393	5	,	,	PUNCT
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ap-4889	393	7	.	.	PUNCT
ap-4889	394	1	[	[	X
ap-4889	394	2	18	18	NUM
ap-4889	394	3	]	]	PUNCT
ap-4889	394	4	i.	i.	NOUN
ap-4889	394	5	park	park	PROPN
ap-4889	394	6	,	,	PUNCT
ap-4889	394	7	w.	w.	PROPN
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ap-4889	394	9	,	,	PUNCT
ap-4889	394	10	i.	i.	PROPN
ap-4889	394	11	universal	universal	PROPN
ap-4889	394	12	approximation	approximation	NOUN
ap-4889	394	13	using	use	VERB
ap-4889	394	14	radial	radial	ADJ
ap-4889	394	15	basis	basis	NOUN
ap-4889	394	16	function	function	NOUN
ap-4889	394	17	networks	network	NOUN
ap-4889	394	18	.	.	PUNCT
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ap-4889	395	4	,	,	PUNCT
ap-4889	395	5	1991	1991	NUM
ap-4889	395	6	.	.	PUNCT
ap-4889	396	1	doi:10.1162	doi:10.1162	PROPN
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ap-4889	396	4	.	.	PUNCT
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ap-4889	397	6	.	.	PUNCT
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ap-4889	398	4	neural	neural	ADJ
ap-4889	398	5	network	network	NOUN
ap-4889	398	6	.	.	PUNCT
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ap-4889	399	5	networks	network	NOUN
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ap-4889	399	7	,	,	PUNCT
ap-4889	399	8	1991	1991	NUM
ap-4889	399	9	.	.	PUNCT
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ap-4889	401	2	20	20	NUM
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ap-4889	401	9	neural	neural	ADJ
ap-4889	401	10	networks	network	NOUN
ap-4889	401	11	.	.	PUNCT
ap-4889	402	1	neural	neural	ADJ
ap-4889	402	2	networks	network	NOUN
ap-4889	402	3	3(1):109–118	3(1):109–118	NUM
ap-4889	402	4	,	,	PUNCT
ap-4889	402	5	1990	1990	NUM
ap-4889	402	6	.	.	PUNCT
ap-4889	403	1	doi:10.1016/0893	doi:10.1016/0893	PROPN
ap-4889	403	2	-	-	PUNCT
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ap-4889	403	4	-	-	PUNCT
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ap-4889	404	2	21	21	NUM
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ap-4889	404	7	j.	j.	PROPN
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ap-4889	405	3	of	of	ADP
ap-4889	405	4	probabilistic	probabilistic	ADJ
ap-4889	405	5	neural	neural	ADJ
ap-4889	405	6	networks	network	NOUN
ap-4889	405	7	.	.	PUNCT
ap-4889	406	1	neurocomputing	neurocompute	VERB
ap-4889	406	2	19(1):167–183	19(1):167–183	NUM
ap-4889	406	3	,	,	PUNCT
ap-4889	406	4	1998	1998	NUM
ap-4889	406	5	.	.	PUNCT
ap-4889	407	1	doi:10.1016	doi:10.1016	PROPN
ap-4889	407	2	/	/	SYM
ap-4889	407	3	s0925	s0925	PROPN
ap-4889	407	4	-	-	PUNCT
ap-4889	407	5	2312(97)00063	2312(97)00063	NUM
ap-4889	407	6	-	-	SYM
ap-4889	407	7	5	5	NUM
ap-4889	407	8	.	.	PUNCT
ap-4889	408	1	[	[	X
ap-4889	408	2	22	22	NUM
ap-4889	408	3	]	]	X
ap-4889	408	4	w.	w.	PROPN
ap-4889	408	5	tomasz	tomasz	PROPN
ap-4889	408	6	,	,	PUNCT
ap-4889	408	7	j.	j.	PROPN
ap-4889	408	8	jacek	jacek	PROPN
ap-4889	408	9	,	,	PUNCT
ap-4889	408	10	m.	m.	PROPN
ap-4889	408	11	jacek	jacek	PROPN
ap-4889	408	12	.	.	PUNCT
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ap-4889	409	2	neural	neural	ADJ
ap-4889	409	3	network	network	NOUN
ap-4889	409	4	for	for	ADP
ap-4889	409	5	direction	direction	NOUN
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ap-4889	409	7	.	.	PUNCT
ap-4889	410	1	in	in	ADP
ap-4889	410	2	proceedings	proceeding	NOUN
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ap-4889	410	16	neural	neural	ADJ
ap-4889	410	17	networks	network	NOUN
ap-4889	410	18	applications	application	NOUN
ap-4889	410	19	to	to	PART
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ap-4889	410	30	pp	pp	ADJ
ap-4889	410	31	.	.	PUNCT
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ap-4889	411	2	.	.	PUNCT
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ap-4889	414	2	.	.	PUNCT
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ap-4889	416	2	.	.	PUNCT
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ap-4889	417	2	,	,	PUNCT
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ap-4889	417	4	.	.	PUNCT
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ap-4889	418	2	23	23	NUM
ap-4889	418	3	]	]	X
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ap-4889	418	6	,	,	PUNCT
ap-4889	418	7	y.	y.	PROPN
ap-4889	418	8	lecun	lecun	PROPN
ap-4889	418	9	.	.	PUNCT
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ap-4889	419	5	ai	ai	NOUN
ap-4889	419	6	.	.	PUNCT
ap-4889	420	1	in	in	ADP
ap-4889	420	2	large	large	ADJ
ap-4889	420	3	-	-	PUNCT
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ap-4889	420	5	kernel	kernel	NOUN
ap-4889	420	6	machines	machine	NOUN
ap-4889	420	7	.	.	PUNCT
ap-4889	421	1	mit	mit	PROPN
ap-4889	421	2	press	press	PROPN
ap-4889	421	3	,	,	PUNCT
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ap-4889	421	5	.	.	PUNCT
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ap-4889	422	11	experts	expert	NOUN
ap-4889	422	12	by	by	ADP
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ap-4889	422	14	contrastive	contrastive	ADJ
ap-4889	422	15	divergence	divergence	NOUN
ap-4889	422	16	.	.	PUNCT
ap-4889	423	1	neural	neural	ADJ
ap-4889	423	2	computation	computation	NOUN
ap-4889	423	3	14(8):1771–1800	14(8):1771–1800	NUM
ap-4889	423	4	,	,	PUNCT
ap-4889	423	5	2002	2002	NUM
ap-4889	423	6	.	.	PUNCT
ap-4889	424	1	doi:10.1162/089976602760128018	doi:10.1162/089976602760128018	NOUN
ap-4889	424	2	.	.	PUNCT
ap-4889	425	1	307	307	NUM
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ap-4889	425	18	,	,	PUNCT
ap-4889	425	19	2018	2018	NUM
ap-4889	425	20	1	1	NUM
ap-4889	425	21	introduction	introduction	NOUN
ap-4889	425	22	1.1	1.1	NUM
ap-4889	425	23	related	relate	VERB
ap-4889	425	24	work	work	NOUN
ap-4889	425	25	2	2	NUM
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ap-4889	425	27	and	and	CCONJ
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ap-4889	425	29	extraction	extraction	NOUN
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ap-4889	425	32	network	network	NOUN
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ap-4889	425	36	-	-	ADJ
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ap-4889	425	39	(	(	PUNCT
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ap-4889	425	46	network	network	NOUN
ap-4889	425	47	(	(	PUNCT
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ap-4889	425	49	)	)	PUNCT
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ap-4889	425	53	function	function	NOUN
ap-4889	425	54	network	network	NOUN
ap-4889	425	55	(	(	PUNCT
ap-4889	425	56	rbf	rbf	PROPN
ap-4889	425	57	)	)	PUNCT
ap-4889	425	58	3.3.1	3.3.1	NUM
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ap-4889	425	60	basis	basis	NOUN
ap-4889	425	61	function	function	NOUN
ap-4889	425	62	networks	network	NOUN
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ap-4889	425	64	(	(	PUNCT
ap-4889	425	65	rbfne	rbfne	NOUN
ap-4889	425	66	)	)	PUNCT
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ap-4889	425	69	basis	basis	NOUN
ap-4889	425	70	function	function	NOUN
ap-4889	425	71	(	(	PUNCT
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ap-4889	425	76	regression	regression	NOUN
ap-4889	425	77	neural	neural	ADJ
ap-4889	425	78	networks	network	NOUN
ap-4889	425	79	(	(	PUNCT
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ap-4889	425	81	)	)	PUNCT
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ap-4889	425	84	neural	neural	ADJ
ap-4889	425	85	networks	network	NOUN
ap-4889	425	86	(	(	PUNCT
ap-4889	425	87	pnn	pnn	PROPN
ap-4889	425	88	)	)	PUNCT
ap-4889	425	89	3.4	3.4	NUM
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ap-4889	425	91	learning	learn	VERB
ap-4889	425	92	3.4.1	3.4.1	NUM
ap-4889	425	93	restricted	restrict	VERB
ap-4889	425	94	boltzmann	boltzmann	NOUN
ap-4889	425	95	machine	machine	NOUN
ap-4889	425	96	(	(	PUNCT
ap-4889	425	97	rbm	rbm	PROPN
ap-4889	425	98	)	)	PUNCT
ap-4889	425	99	and	and	CCONJ
ap-4889	425	100	contrastive	contrastive	ADJ
ap-4889	425	101	divergence	divergence	NOUN
ap-4889	425	102	learning	learning	NOUN
ap-4889	425	103	(	(	PUNCT
ap-4889	425	104	cd	cd	PROPN
ap-4889	425	105	)	)	PUNCT
ap-4889	425	106	3.4.2	3.4.2	NUM
ap-4889	425	107	deep	deep	ADJ
ap-4889	425	108	belief	belief	NOUN
ap-4889	425	109	network	network	NOUN
ap-4889	425	110	(	(	PUNCT
ap-4889	425	111	dbn	dbn	PROPN
ap-4889	425	112	)	)	PUNCT
ap-4889	425	113	4	4	NUM
ap-4889	425	114	description	description	NOUN
ap-4889	425	115	of	of	ADP
ap-4889	425	116	the	the	DET
ap-4889	425	117	database	database	NOUN
ap-4889	425	118	5	5	NUM
ap-4889	425	119	experiments	experiment	NOUN
ap-4889	425	120	and	and	CCONJ
ap-4889	425	121	results	result	VERB
ap-4889	425	122	5.1	5.1	NUM
ap-4889	425	123	neural	neural	ADJ
ap-4889	425	124	approach	approach	NOUN
ap-4889	425	125	(	(	PUNCT
ap-4889	425	126	classical	classical	ADJ
ap-4889	425	127	methods	method	NOUN
ap-4889	425	128	)	)	PUNCT
ap-4889	425	129	5.2	5.2	NUM
ap-4889	425	130	deep	deep	ADJ
ap-4889	425	131	neural	neural	ADJ
ap-4889	425	132	approach	approach	NOUN
ap-4889	425	133	6	6	NUM
ap-4889	425	134	conclusion	conclusion	NOUN
ap-4889	425	135	references	reference	NOUN