id	sid	tid	token	lemma	pos
ajst-18570	1	1	academic	academic	ADJ
ajst-18570	1	2	journal	journal	NOUN
ajst-18570	1	3	of	of	ADP
ajst-18570	1	4	science	science	NOUN
ajst-18570	1	5	and	and	CCONJ
ajst-18570	1	6	technology	technology	NOUN
ajst-18570	1	7	issn	issn	NOUN
ajst-18570	1	8	:	:	PUNCT
ajst-18570	1	9	2771	2771	NUM
ajst-18570	1	10	-	-	SYM
ajst-18570	1	11	3032	3032	NUM
ajst-18570	1	12	|	|	NOUN
ajst-18570	1	13	vol	vol	NOUN
ajst-18570	1	14	.	.	PROPN
ajst-18570	2	1	9	9	NUM
ajst-18570	2	2	,	,	PUNCT
ajst-18570	2	3	no	no	INTJ
ajst-18570	2	4	.	.	NOUN
ajst-18570	2	5	3	3	NUM
ajst-18570	2	6	,	,	PUNCT
ajst-18570	2	7	2024	2024	NUM
ajst-18570	2	8	194	194	NUM
ajst-18570	2	9	research	research	NOUN
ajst-18570	2	10	on	on	ADP
ajst-18570	2	11	handwriting	handwriting	NOUN
ajst-18570	2	12	text	text	NOUN
ajst-18570	2	13	generation	generation	NOUN
ajst-18570	2	14	algorithm	algorithm	NOUN
ajst-18570	2	15	based	base	VERB
ajst-18570	2	16	on	on	ADP
ajst-18570	2	17	generative	generative	ADJ
ajst-18570	2	18	adversarial	adversarial	ADJ
ajst-18570	2	19	network	network	NOUN
ajst-18570	2	20	fuchang	fuchang	PROPN
ajst-18570	2	21	zhao	zhao	PROPN
ajst-18570	2	22	school	school	PROPN
ajst-18570	2	23	of	of	ADP
ajst-18570	2	24	electronic	electronic	ADJ
ajst-18570	2	25	and	and	CCONJ
ajst-18570	2	26	information	information	NOUN
ajst-18570	2	27	engineering	engineering	NOUN
ajst-18570	2	28	,	,	PUNCT
ajst-18570	2	29	southwest	southwest	PROPN
ajst-18570	2	30	minzu	minzu	PROPN
ajst-18570	2	31	university	university	PROPN
ajst-18570	2	32	,	,	PUNCT
ajst-18570	2	33	chengdu	chengdu	PROPN
ajst-18570	2	34	,	,	PUNCT
ajst-18570	2	35	610229	610229	NUM
ajst-18570	2	36	,	,	PUNCT
ajst-18570	2	37	china	china	PROPN
ajst-18570	2	38	abstract	abstract	PROPN
ajst-18570	2	39	:	:	PUNCT
ajst-18570	2	40	the	the	DET
ajst-18570	2	41	main	main	ADJ
ajst-18570	2	42	task	task	NOUN
ajst-18570	2	43	of	of	ADP
ajst-18570	2	44	this	this	DET
ajst-18570	2	45	paper	paper	NOUN
ajst-18570	2	46	is	be	AUX
ajst-18570	2	47	to	to	PART
ajst-18570	2	48	study	study	VERB
ajst-18570	2	49	the	the	DET
ajst-18570	2	50	handwriting	handwriting	NOUN
ajst-18570	2	51	text	text	NOUN
ajst-18570	2	52	generation	generation	NOUN
ajst-18570	2	53	method	method	NOUN
ajst-18570	2	54	based	base	VERB
ajst-18570	2	55	on	on	ADP
ajst-18570	2	56	deep	deep	ADJ
ajst-18570	2	57	learning	learning	NOUN
ajst-18570	2	58	.	.	PUNCT
ajst-18570	3	1	through	through	ADP
ajst-18570	3	2	understanding	understand	VERB
ajst-18570	3	3	the	the	DET
ajst-18570	3	4	development	development	NOUN
ajst-18570	3	5	status	status	NOUN
ajst-18570	3	6	of	of	ADP
ajst-18570	3	7	the	the	DET
ajst-18570	3	8	research	research	NOUN
ajst-18570	3	9	,	,	PUNCT
ajst-18570	3	10	it	it	PRON
ajst-18570	3	11	can	can	AUX
ajst-18570	3	12	be	be	AUX
ajst-18570	3	13	found	find	VERB
ajst-18570	3	14	that	that	SCONJ
ajst-18570	3	15	the	the	DET
ajst-18570	3	16	current	current	ADJ
ajst-18570	3	17	research	research	NOUN
ajst-18570	3	18	on	on	ADP
ajst-18570	3	19	the	the	DET
ajst-18570	3	20	generation	generation	NOUN
ajst-18570	3	21	of	of	ADP
ajst-18570	3	22	different	different	ADJ
ajst-18570	3	23	handwriting	handwriting	NOUN
ajst-18570	3	24	styles	style	NOUN
ajst-18570	3	25	still	still	ADV
ajst-18570	3	26	has	have	VERB
ajst-18570	3	27	some	some	DET
ajst-18570	3	28	obvious	obvious	ADJ
ajst-18570	3	29	defects	defect	NOUN
ajst-18570	3	30	,	,	PUNCT
ajst-18570	3	31	such	such	ADJ
ajst-18570	3	32	as	as	ADP
ajst-18570	3	33	the	the	DET
ajst-18570	3	34	need	need	NOUN
ajst-18570	3	35	for	for	ADP
ajst-18570	3	36	manual	manual	ADJ
ajst-18570	3	37	intervention	intervention	NOUN
ajst-18570	3	38	in	in	ADP
ajst-18570	3	39	character	character	NOUN
ajst-18570	3	40	segmentation	segmentation	NOUN
ajst-18570	3	41	,	,	PUNCT
ajst-18570	3	42	failure	failure	NOUN
ajst-18570	3	43	to	to	PART
ajst-18570	3	44	capture	capture	VERB
ajst-18570	3	45	the	the	DET
ajst-18570	3	46	global	global	ADJ
ajst-18570	3	47	handwriting	handwriting	NOUN
ajst-18570	3	48	style	style	NOUN
ajst-18570	3	49	,	,	PUNCT
ajst-18570	3	50	style	style	NOUN
ajst-18570	3	51	collapse	collapse	NOUN
ajst-18570	3	52	,	,	PUNCT
ajst-18570	3	53	failure	failure	NOUN
ajst-18570	3	54	to	to	PART
ajst-18570	3	55	generate	generate	VERB
ajst-18570	3	56	arbitrary	arbitrary	ADJ
ajst-18570	3	57	length	length	NOUN
ajst-18570	3	58	characters	character	NOUN
ajst-18570	3	59	,	,	PUNCT
ajst-18570	3	60	and	and	CCONJ
ajst-18570	3	61	text	text	NOUN
ajst-18570	3	62	.	.	PUNCT
ajst-18570	4	1	finally	finally	ADV
ajst-18570	4	2	,	,	PUNCT
ajst-18570	4	3	this	this	DET
ajst-18570	4	4	paper	paper	NOUN
ajst-18570	4	5	proposes	propose	VERB
ajst-18570	4	6	a	a	DET
ajst-18570	4	7	handwritten	handwritten	ADJ
ajst-18570	4	8	text	text	NOUN
ajst-18570	4	9	generation	generation	NOUN
ajst-18570	4	10	algorithm	algorithm	NOUN
ajst-18570	4	11	combining	combine	VERB
ajst-18570	4	12	advantages	advantage	NOUN
ajst-18570	4	13	of	of	ADP
ajst-18570	4	14	convolutional	convolutional	ADJ
ajst-18570	4	15	network	network	NOUN
ajst-18570	4	16	and	and	CCONJ
ajst-18570	4	17	transformer	transformer	NOUN
ajst-18570	4	18	.	.	PUNCT
ajst-18570	5	1	specifically	specifically	ADV
ajst-18570	5	2	,	,	PUNCT
ajst-18570	5	3	this	this	DET
ajst-18570	5	4	paper	paper	NOUN
ajst-18570	5	5	first	first	ADV
ajst-18570	5	6	constructs	construct	VERB
ajst-18570	5	7	a	a	DET
ajst-18570	5	8	lightweight	lightweight	ADJ
ajst-18570	5	9	backbone	backbone	NOUN
ajst-18570	5	10	network	network	NOUN
ajst-18570	5	11	and	and	CCONJ
ajst-18570	5	12	uses	use	VERB
ajst-18570	5	13	lightweight	lightweight	ADJ
ajst-18570	5	14	mobilenetv3	mobilenetv3	PROPN
ajst-18570	5	15	network	network	NOUN
ajst-18570	5	16	as	as	SCONJ
ajst-18570	5	17	the	the	DET
ajst-18570	5	18	backbone	backbone	NOUN
ajst-18570	5	19	network	network	NOUN
ajst-18570	5	20	to	to	PART
ajst-18570	5	21	realize	realize	VERB
ajst-18570	5	22	feature	feature	NOUN
ajst-18570	5	23	extraction	extraction	NOUN
ajst-18570	5	24	of	of	ADP
ajst-18570	5	25	input	input	NOUN
ajst-18570	5	26	images	image	NOUN
ajst-18570	5	27	.	.	PUNCT
ajst-18570	6	1	the	the	DET
ajst-18570	6	2	efficient	efficient	ADJ
ajst-18570	6	3	channel	channel	NOUN
ajst-18570	6	4	attention	attention	NOUN
ajst-18570	6	5	module	module	NOUN
ajst-18570	6	6	is	be	AUX
ajst-18570	6	7	introduced	introduce	VERB
ajst-18570	6	8	to	to	PART
ajst-18570	6	9	replace	replace	VERB
ajst-18570	6	10	the	the	DET
ajst-18570	6	11	se	se	PROPN
ajst-18570	6	12	attention	attention	NOUN
ajst-18570	6	13	module	module	NOUN
ajst-18570	6	14	of	of	ADP
ajst-18570	6	15	mobilenetv3	mobilenetv3	PROPN
ajst-18570	6	16	,	,	PUNCT
ajst-18570	6	17	which	which	PRON
ajst-18570	6	18	makes	make	VERB
ajst-18570	6	19	the	the	DET
ajst-18570	6	20	network	network	NOUN
ajst-18570	6	21	pay	pay	VERB
ajst-18570	6	22	more	more	ADJ
ajst-18570	6	23	attention	attention	NOUN
ajst-18570	6	24	to	to	ADP
ajst-18570	6	25	the	the	DET
ajst-18570	6	26	global	global	ADJ
ajst-18570	6	27	and	and	CCONJ
ajst-18570	6	28	local	local	ADJ
ajst-18570	6	29	style	style	NOUN
ajst-18570	6	30	features	feature	NOUN
ajst-18570	6	31	of	of	ADP
ajst-18570	6	32	handwritten	handwritten	ADJ
ajst-18570	6	33	images	image	NOUN
ajst-18570	6	34	.	.	PUNCT
ajst-18570	7	1	in	in	ADP
ajst-18570	7	2	the	the	DET
ajst-18570	7	3	feature	feature	NOUN
ajst-18570	7	4	extraction	extraction	NOUN
ajst-18570	7	5	part	part	NOUN
ajst-18570	7	6	,	,	PUNCT
ajst-18570	7	7	the	the	DET
ajst-18570	7	8	network	network	NOUN
ajst-18570	7	9	reduces	reduce	VERB
ajst-18570	7	10	the	the	DET
ajst-18570	7	11	number	number	NOUN
ajst-18570	7	12	of	of	ADP
ajst-18570	7	13	parameters	parameter	NOUN
ajst-18570	7	14	,	,	PUNCT
ajst-18570	7	15	calculation	calculation	NOUN
ajst-18570	7	16	amount	amount	NOUN
ajst-18570	7	17	and	and	CCONJ
ajst-18570	7	18	video	video	NOUN
ajst-18570	7	19	memory	memory	NOUN
ajst-18570	7	20	occupation	occupation	NOUN
ajst-18570	7	21	.	.	PUNCT
ajst-18570	8	1	it	it	PRON
ajst-18570	8	2	can	can	AUX
ajst-18570	8	3	also	also	ADV
ajst-18570	8	4	extract	extract	VERB
ajst-18570	8	5	rich	rich	ADJ
ajst-18570	8	6	feature	feature	NOUN
ajst-18570	8	7	information	information	NOUN
ajst-18570	8	8	.	.	PUNCT
ajst-18570	9	1	the	the	DET
ajst-18570	9	2	fid	fid	NOUN
ajst-18570	9	3	and	and	CCONJ
ajst-18570	9	4	kid	kid	ADJ
ajst-18570	9	5	indexes	index	NOUN
ajst-18570	9	6	of	of	ADP
ajst-18570	9	7	this	this	DET
ajst-18570	9	8	algorithm	algorithm	NOUN
ajst-18570	9	9	obtained	obtain	VERB
ajst-18570	9	10	20.28	20.28	NUM
ajst-18570	9	11	and	and	CCONJ
ajst-18570	9	12	9.07×10	9.07×10	NUM
ajst-18570	9	13	-	-	SYM
ajst-18570	9	14	3	3	NUM
ajst-18570	9	15	respectively	respectively	ADV
ajst-18570	9	16	,	,	PUNCT
ajst-18570	9	17	and	and	CCONJ
ajst-18570	9	18	the	the	DET
ajst-18570	9	19	generation	generation	NOUN
ajst-18570	9	20	effect	effect	NOUN
ajst-18570	9	21	of	of	ADP
ajst-18570	9	22	handwritten	handwritten	ADJ
ajst-18570	9	23	pictures	picture	NOUN
ajst-18570	9	24	was	be	AUX
ajst-18570	9	25	excellent	excellent	ADJ
ajst-18570	9	26	,	,	PUNCT
ajst-18570	9	27	which	which	PRON
ajst-18570	9	28	could	could	AUX
ajst-18570	9	29	effectively	effectively	ADV
ajst-18570	9	30	imitate	imitate	VERB
ajst-18570	9	31	the	the	DET
ajst-18570	9	32	writing	writing	NOUN
ajst-18570	9	33	style	style	NOUN
ajst-18570	9	34	of	of	ADP
ajst-18570	9	35	writers	writer	NOUN
ajst-18570	9	36	.	.	PUNCT
ajst-18570	10	1	keywords	keyword	NOUN
ajst-18570	10	2	:	:	PUNCT
ajst-18570	10	3	deep	deep	ADJ
ajst-18570	10	4	learning	learning	NOUN
ajst-18570	10	5	,	,	PUNCT
ajst-18570	10	6	gan	gan	ADJ
ajst-18570	10	7	,	,	PUNCT
ajst-18570	10	8	handwritten	handwritten	ADJ
ajst-18570	10	9	text	text	NOUN
ajst-18570	10	10	generation	generation	NOUN
ajst-18570	10	11	,	,	PUNCT
ajst-18570	10	12	multimodal	multimodal	NOUN
ajst-18570	10	13	,	,	PUNCT
ajst-18570	10	14	picture	picture	NOUN
ajst-18570	10	15	generation	generation	NOUN
ajst-18570	10	16	.	.	PUNCT
ajst-18570	11	1	1	1	X
ajst-18570	11	2	.	.	X
ajst-18570	11	3	introduction	introduction	NOUN
ajst-18570	11	4	writing	writing	NOUN
ajst-18570	11	5	is	be	AUX
ajst-18570	11	6	an	an	DET
ajst-18570	11	7	extraordinary	extraordinary	ADJ
ajst-18570	11	8	achievement	achievement	NOUN
ajst-18570	11	9	of	of	ADP
ajst-18570	11	10	human	human	ADJ
ajst-18570	11	11	beings	being	NOUN
ajst-18570	11	12	,	,	PUNCT
ajst-18570	11	13	and	and	CCONJ
ajst-18570	11	14	the	the	DET
ajst-18570	11	15	generation	generation	NOUN
ajst-18570	11	16	and	and	CCONJ
ajst-18570	11	17	development	development	NOUN
ajst-18570	11	18	of	of	ADP
ajst-18570	11	19	writing	writing	NOUN
ajst-18570	11	20	represents	represent	VERB
ajst-18570	11	21	a	a	DET
ajst-18570	11	22	milestone	milestone	NOUN
ajst-18570	11	23	of	of	ADP
ajst-18570	11	24	human	human	ADJ
ajst-18570	11	25	civilization	civilization	NOUN
ajst-18570	11	26	.	.	PUNCT
ajst-18570	12	1	for	for	ADP
ajst-18570	12	2	a	a	DET
ajst-18570	12	3	long	long	ADJ
ajst-18570	12	4	time	time	NOUN
ajst-18570	12	5	,	,	PUNCT
ajst-18570	12	6	beautiful	beautiful	ADJ
ajst-18570	12	7	handwriting	handwriting	NOUN
ajst-18570	12	8	and	and	CCONJ
ajst-18570	12	9	calligraphy	calligraphy	NOUN
ajst-18570	12	10	have	have	AUX
ajst-18570	12	11	not	not	PART
ajst-18570	12	12	only	only	ADV
ajst-18570	12	13	been	be	AUX
ajst-18570	12	14	regarded	regard	VERB
ajst-18570	12	15	as	as	ADP
ajst-18570	12	16	an	an	DET
ajst-18570	12	17	art	art	NOUN
ajst-18570	12	18	form	form	NOUN
ajst-18570	12	19	of	of	ADP
ajst-18570	12	20	language	language	NOUN
ajst-18570	12	21	,	,	PUNCT
ajst-18570	12	22	but	but	CCONJ
ajst-18570	12	23	also	also	ADV
ajst-18570	12	24	the	the	DET
ajst-18570	12	25	use	use	NOUN
ajst-18570	12	26	of	of	ADP
ajst-18570	12	27	deep	deep	ADJ
ajst-18570	12	28	learning	learning	NOUN
ajst-18570	12	29	methods	method	NOUN
ajst-18570	12	30	to	to	PART
ajst-18570	12	31	generate	generate	VERB
ajst-18570	12	32	handwritten	handwritten	ADJ
ajst-18570	12	33	texts	text	NOUN
ajst-18570	12	34	of	of	ADP
ajst-18570	12	35	specific	specific	ADJ
ajst-18570	12	36	authors	author	NOUN
ajst-18570	12	37	has	have	VERB
ajst-18570	12	38	both	both	PRON
ajst-18570	12	39	historical	historical	ADJ
ajst-18570	12	40	significance	significance	NOUN
ajst-18570	12	41	and	and	CCONJ
ajst-18570	12	42	wide	wide	ADJ
ajst-18570	12	43	application	application	NOUN
ajst-18570	12	44	prospects	prospect	NOUN
ajst-18570	12	45	.	.	PUNCT
ajst-18570	13	1	practical	practical	ADJ
ajst-18570	13	2	applications	application	NOUN
ajst-18570	13	3	of	of	ADP
ajst-18570	13	4	this	this	DET
ajst-18570	13	5	research	research	NOUN
ajst-18570	13	6	range	range	NOUN
ajst-18570	13	7	from	from	ADP
ajst-18570	13	8	synthesizing	synthesize	VERB
ajst-18570	13	9	high	high	ADJ
ajst-18570	13	10	-	-	PUNCT
ajst-18570	13	11	quality	quality	NOUN
ajst-18570	13	12	training	training	NOUN
ajst-18570	13	13	data	datum	NOUN
ajst-18570	13	14	for	for	ADP
ajst-18570	13	15	the	the	DET
ajst-18570	13	16	training	training	NOUN
ajst-18570	13	17	of	of	ADP
ajst-18570	13	18	personalized	personalized	ADJ
ajst-18570	13	19	handwritten	handwritten	ADJ
ajst-18570	13	20	text	text	NOUN
ajst-18570	13	21	recognition[1,2,3,4	recognition[1,2,3,4	NOUN
ajst-18570	13	22	]	]	PUNCT
ajst-18570	13	23	models	model	NOUN
ajst-18570	13	24	to	to	PART
ajst-18570	13	25	automatically	automatically	ADV
ajst-18570	13	26	generating	generate	VERB
ajst-18570	13	27	handwritten	handwritten	ADJ
ajst-18570	13	28	notes	note	NOUN
ajst-18570	13	29	for	for	ADP
ajst-18570	13	30	people	people	NOUN
ajst-18570	13	31	with	with	ADP
ajst-18570	13	32	physical	physical	ADJ
ajst-18570	13	33	impairments	impairment	NOUN
ajst-18570	13	34	,	,	PUNCT
ajst-18570	13	35	providing	provide	VERB
ajst-18570	13	36	more	more	ADV
ajst-18570	13	37	accessible	accessible	ADJ
ajst-18570	13	38	cultural	cultural	ADJ
ajst-18570	13	39	experiences	experience	NOUN
ajst-18570	13	40	.	.	PUNCT
ajst-18570	14	1	stylized	stylize	VERB
ajst-18570	14	2	handwritten	handwritten	ADJ
ajst-18570	14	3	text	text	NOUN
ajst-18570	14	4	generation	generation	NOUN
ajst-18570	14	5	(	(	PUNCT
ajst-18570	14	6	htg	htg	NOUN
ajst-18570	14	7	)	)	PUNCT
ajst-18570	14	8	is	be	AUX
ajst-18570	14	9	an	an	DET
ajst-18570	14	10	emerging	emerge	VERB
ajst-18570	14	11	research	research	NOUN
ajst-18570	14	12	field	field	NOUN
ajst-18570	14	13	,	,	PUNCT
ajst-18570	14	14	a	a	DET
ajst-18570	14	15	comprehensive	comprehensive	ADJ
ajst-18570	14	16	task	task	NOUN
ajst-18570	14	17	that	that	PRON
ajst-18570	14	18	combines	combine	VERB
ajst-18570	14	19	the	the	DET
ajst-18570	14	20	fields	field	NOUN
ajst-18570	14	21	of	of	ADP
ajst-18570	14	22	computer	computer	NOUN
ajst-18570	14	23	vision	vision	NOUN
ajst-18570	14	24	(	(	PUNCT
ajst-18570	14	25	cv	cv	NOUN
ajst-18570	14	26	)	)	PUNCT
ajst-18570	14	27	and	and	CCONJ
ajst-18570	14	28	natural	natural	ADJ
ajst-18570	14	29	language	language	NOUN
ajst-18570	14	30	processing	processing	NOUN
ajst-18570	14	31	(	(	PUNCT
ajst-18570	14	32	nlp	nlp	NOUN
ajst-18570	14	33	)	)	PUNCT
ajst-18570	14	34	.	.	PUNCT
ajst-18570	15	1	designed	design	VERB
ajst-18570	15	2	to	to	PART
ajst-18570	15	3	generate	generate	VERB
ajst-18570	15	4	specific	specific	ADJ
ajst-18570	15	5	handwritten	handwritten	ADJ
ajst-18570	15	6	text	text	NOUN
ajst-18570	15	7	images	image	NOUN
ajst-18570	15	8	that	that	PRON
ajst-18570	15	9	mimic	mimic	VERB
ajst-18570	15	10	the	the	DET
ajst-18570	15	11	author	author	NOUN
ajst-18570	15	12	's	's	PART
ajst-18570	15	13	calligraphic	calligraphic	ADJ
ajst-18570	15	14	style	style	NOUN
ajst-18570	15	15	.	.	PUNCT
ajst-18570	16	1	the	the	DET
ajst-18570	16	2	challenge	challenge	NOUN
ajst-18570	16	3	of	of	ADP
ajst-18570	16	4	handwriting	handwriting	NOUN
ajst-18570	16	5	style	style	NOUN
ajst-18570	16	6	generation	generation	NOUN
ajst-18570	16	7	research	research	NOUN
ajst-18570	16	8	is	be	AUX
ajst-18570	16	9	that	that	SCONJ
ajst-18570	16	10	the	the	DET
ajst-18570	16	11	algorithm	algorithm	NOUN
ajst-18570	16	12	needs	need	VERB
ajst-18570	16	13	to	to	PART
ajst-18570	16	14	understand	understand	VERB
ajst-18570	16	15	and	and	CCONJ
ajst-18570	16	16	capture	capture	VERB
ajst-18570	16	17	the	the	DET
ajst-18570	16	18	author	author	NOUN
ajst-18570	16	19	's	's	PART
ajst-18570	16	20	unique	unique	ADJ
ajst-18570	16	21	writing	writing	NOUN
ajst-18570	16	22	style	style	NOUN
ajst-18570	16	23	,	,	PUNCT
ajst-18570	16	24	so	so	SCONJ
ajst-18570	16	25	as	as	SCONJ
ajst-18570	16	26	to	to	PART
ajst-18570	16	27	generate	generate	VERB
ajst-18570	16	28	similar	similar	ADJ
ajst-18570	16	29	handwriting	handwriting	NOUN
ajst-18570	16	30	text	text	NOUN
ajst-18570	16	31	,	,	PUNCT
ajst-18570	16	32	and	and	CCONJ
ajst-18570	16	33	simply	simply	ADV
ajst-18570	16	34	adopting	adopt	VERB
ajst-18570	16	35	style	style	NOUN
ajst-18570	16	36	transfer	transfer	NOUN
ajst-18570	16	37	is	be	AUX
ajst-18570	16	38	not	not	PART
ajst-18570	16	39	feasible	feasible	ADJ
ajst-18570	16	40	.	.	PUNCT
ajst-18570	17	1	in	in	ADP
ajst-18570	17	2	fact	fact	NOUN
ajst-18570	17	3	,	,	PUNCT
ajst-18570	17	4	calligraphy	calligraphy	NOUN
ajst-18570	17	5	that	that	PRON
ajst-18570	17	6	mimics	mimic	VERB
ajst-18570	17	7	a	a	DET
ajst-18570	17	8	particular	particular	ADJ
ajst-18570	17	9	author	author	NOUN
ajst-18570	17	10	involves	involve	VERB
ajst-18570	17	11	not	not	PART
ajst-18570	17	12	only	only	ADV
ajst-18570	17	13	texture	texture	ADJ
ajst-18570	17	14	,	,	PUNCT
ajst-18570	17	15	nor	nor	CCONJ
ajst-18570	17	16	the	the	DET
ajst-18570	17	17	thickness	thickness	NOUN
ajst-18570	17	18	,	,	PUNCT
ajst-18570	17	19	tilt	tilt	NOUN
ajst-18570	17	20	,	,	PUNCT
ajst-18570	17	21	skew	skew	ADJ
ajst-18570	17	22	,	,	PUNCT
ajst-18570	17	23	and	and	CCONJ
ajst-18570	17	24	roundness	roundness	NOUN
ajst-18570	17	25	of	of	ADP
ajst-18570	17	26	strokes	stroke	NOUN
ajst-18570	17	27	,	,	PUNCT
ajst-18570	17	28	but	but	CCONJ
ajst-18570	17	29	also	also	ADV
ajst-18570	17	30	the	the	DET
ajst-18570	17	31	shape	shape	NOUN
ajst-18570	17	32	and	and	CCONJ
ajst-18570	17	33	ligature	ligature	NOUN
ajst-18570	17	34	of	of	ADP
ajst-18570	17	35	individual	individual	ADJ
ajst-18570	17	36	characters	character	NOUN
ajst-18570	17	37	.	.	PUNCT
ajst-18570	18	1	in	in	ADP
ajst-18570	18	2	addition	addition	NOUN
ajst-18570	18	3	,	,	PUNCT
ajst-18570	18	4	these	these	DET
ajst-18570	18	5	visual	visual	ADJ
ajst-18570	18	6	aspects	aspect	NOUN
ajst-18570	18	7	must	must	AUX
ajst-18570	18	8	be	be	AUX
ajst-18570	18	9	handled	handle	VERB
ajst-18570	18	10	correctly	correctly	ADV
ajst-18570	18	11	to	to	PART
ajst-18570	18	12	avoid	avoid	VERB
ajst-18570	18	13	artifacts	artifact	NOUN
ajst-18570	18	14	that	that	PRON
ajst-18570	18	15	can	can	AUX
ajst-18570	18	16	cause	cause	VERB
ajst-18570	18	17	content	content	NOUN
ajst-18570	18	18	changes	change	NOUN
ajst-18570	18	19	(	(	PUNCT
ajst-18570	18	20	for	for	ADP
ajst-18570	18	21	example	example	NOUN
ajst-18570	18	22	,	,	PUNCT
ajst-18570	18	23	even	even	ADV
ajst-18570	18	24	small	small	ADJ
ajst-18570	18	25	additional	additional	ADJ
ajst-18570	18	26	or	or	CCONJ
ajst-18570	18	27	missing	missing	ADJ
ajst-18570	18	28	strokes	stroke	NOUN
ajst-18570	18	29	)	)	PUNCT
ajst-18570	18	30	.	.	PUNCT
ajst-18570	19	1	the	the	DET
ajst-18570	19	2	realm	realm	NOUN
ajst-18570	19	3	of	of	ADP
ajst-18570	19	4	handwritten	handwritten	ADJ
ajst-18570	19	5	text	text	NOUN
ajst-18570	19	6	generation	generation	NOUN
ajst-18570	19	7	has	have	AUX
ajst-18570	19	8	garnered	garner	VERB
ajst-18570	19	9	substantial	substantial	ADJ
ajst-18570	19	10	research	research	NOUN
ajst-18570	19	11	attention[5,6,7,8,9	attention[5,6,7,8,9	PROPN
ajst-18570	19	12	]	]	PUNCT
ajst-18570	19	13	.	.	PUNCT
ajst-18570	20	1	alonso	alonso	PROPN
ajst-18570	20	2	et	et	PROPN
ajst-18570	20	3	al	al	PROPN
ajst-18570	20	4	.	.	PUNCT
ajst-18570	21	1	[	[	X
ajst-18570	21	2	10]proposed	10]proposed	NUM
ajst-18570	21	3	an	an	DET
ajst-18570	21	4	approach	approach	NOUN
ajst-18570	21	5	employing	employ	VERB
ajst-18570	21	6	a	a	DET
ajst-18570	21	7	bidirectional	bidirectional	ADJ
ajst-18570	21	8	lstm	lstm	NOUN
ajst-18570	21	9	loop	loop	NOUN
ajst-18570	21	10	layer	layer	NOUN
ajst-18570	21	11	that	that	PRON
ajst-18570	21	12	encodes	encode	VERB
ajst-18570	21	13	the	the	DET
ajst-18570	21	14	character	character	NOUN
ajst-18570	21	15	sequence	sequence	NOUN
ajst-18570	21	16	for	for	ADP
ajst-18570	21	17	generation	generation	NOUN
ajst-18570	21	18	,	,	PUNCT
ajst-18570	21	19	using	use	VERB
ajst-18570	21	20	the	the	DET
ajst-18570	21	21	input	input	NOUN
ajst-18570	21	22	content	content	NOUN
ajst-18570	21	23	string	string	NOUN
ajst-18570	21	24	as	as	ADP
ajst-18570	21	25	a	a	DET
ajst-18570	21	26	condition	condition	NOUN
ajst-18570	21	27	.	.	PUNCT
ajst-18570	22	1	to	to	PART
ajst-18570	22	2	control	control	VERB
ajst-18570	22	3	text	text	NOUN
ajst-18570	22	4	content	content	NOUN
ajst-18570	22	5	in	in	ADP
ajst-18570	22	6	generated	generate	VERB
ajst-18570	22	7	images	image	NOUN
ajst-18570	22	8	,	,	PUNCT
ajst-18570	22	9	they	they	PRON
ajst-18570	22	10	introduced	introduce	VERB
ajst-18570	22	11	an	an	DET
ajst-18570	22	12	auxiliary	auxiliary	ADJ
ajst-18570	22	13	network	network	NOUN
ajst-18570	22	14	for	for	ADP
ajst-18570	22	15	text	text	NOUN
ajst-18570	22	16	recognition	recognition	NOUN
ajst-18570	22	17	.	.	PUNCT
ajst-18570	23	1	however	however	ADV
ajst-18570	23	2	,	,	PUNCT
ajst-18570	23	3	their	their	PRON
ajst-18570	23	4	method	method	NOUN
ajst-18570	23	5	is	be	AUX
ajst-18570	23	6	confined	confine	VERB
ajst-18570	23	7	to	to	ADP
ajst-18570	23	8	training	training	NOUN
ajst-18570	23	9	on	on	ADP
ajst-18570	23	10	isolated	isolated	ADJ
ajst-18570	23	11	fixed	fix	VERB
ajst-18570	23	12	-	-	PUNCT
ajst-18570	23	13	size	size	NOUN
ajst-18570	23	14	word	word	NOUN
ajst-18570	23	15	images	image	NOUN
ajst-18570	23	16	,	,	PUNCT
ajst-18570	23	17	posing	pose	VERB
ajst-18570	23	18	challenges	challenge	NOUN
ajst-18570	23	19	in	in	ADP
ajst-18570	23	20	generating	generate	VERB
ajst-18570	23	21	high	high	ADJ
ajst-18570	23	22	-	-	PUNCT
ajst-18570	23	23	quality	quality	NOUN
ajst-18570	23	24	arbitrary	arbitrary	ADJ
ajst-18570	23	25	length	length	NOUN
ajst-18570	23	26	text	text	NOUN
ajst-18570	23	27	.	.	PUNCT
ajst-18570	24	1	recently	recently	ADV
ajst-18570	24	2	,	,	PUNCT
ajst-18570	24	3	gan	gan	NOUN
ajst-18570	24	4	-	-	PUNCT
ajst-18570	24	5	based	base	VERB
ajst-18570	24	6	techniques	technique	NOUN
ajst-18570	24	7	have	have	AUX
ajst-18570	24	8	been	be	AUX
ajst-18570	24	9	introduced	introduce	VERB
ajst-18570	24	10	to	to	PART
ajst-18570	24	11	address	address	VERB
ajst-18570	24	12	the	the	DET
ajst-18570	24	13	issue	issue	NOUN
ajst-18570	24	14	of	of	ADP
ajst-18570	24	15	stylized	stylize	VERB
ajst-18570	24	16	handwritten	handwritten	ADJ
ajst-18570	24	17	text	text	NOUN
ajst-18570	24	18	image	image	NOUN
ajst-18570	24	19	generation	generation	NOUN
ajst-18570	24	20	.	.	PUNCT
ajst-18570	25	1	these	these	DET
ajst-18570	25	2	methods	method	NOUN
ajst-18570	25	3	consider	consider	VERB
ajst-18570	25	4	both	both	PRON
ajst-18570	25	5	content	content	NOUN
ajst-18570	25	6	and	and	CCONJ
ajst-18570	25	7	style	style	NOUN
ajst-18570	25	8	[	[	X
ajst-18570	25	9	11,12]when	11,12]when	X
ajst-18570	25	10	generating	generating	ADJ
ajst-18570	25	11	offline	offline	ADJ
ajst-18570	25	12	handwritten	handwritten	ADJ
ajst-18570	25	13	text	text	NOUN
ajst-18570	25	14	images	image	NOUN
ajst-18570	25	15	.	.	PUNCT
ajst-18570	26	1	davis	davis	PROPN
ajst-18570	26	2	et	et	PROPN
ajst-18570	26	3	al	al	PROPN
ajst-18570	26	4	.	.	PROPN
ajst-18570	26	5	presented	present	VERB
ajst-18570	26	6	a	a	DET
ajst-18570	26	7	stylegan	stylegan	NOUN
ajst-18570	26	8	-	-	PUNCT
ajst-18570	26	9	based	base	VERB
ajst-18570	26	10	approach	approach	NOUN
ajst-18570	26	11	that	that	PRON
ajst-18570	26	12	learns	learn	VERB
ajst-18570	26	13	to	to	PART
ajst-18570	26	14	generate	generate	VERB
ajst-18570	26	15	handwritten	handwritten	ADJ
ajst-18570	26	16	image	image	NOUN
ajst-18570	26	17	widths	width	NOUN
ajst-18570	26	18	based	base	VERB
ajst-18570	26	19	on	on	ADP
ajst-18570	26	20	style	style	NOUN
ajst-18570	26	21	and	and	CCONJ
ajst-18570	26	22	input	input	NOUN
ajst-18570	26	23	text	text	NOUN
ajst-18570	26	24	.	.	PUNCT
ajst-18570	27	1	conversely	conversely	ADV
ajst-18570	27	2	,	,	PUNCT
ajst-18570	27	3	the	the	DET
ajst-18570	27	4	ganwriting	ganwrite	VERB
ajst-18570	27	5	framework	framework	NOUN
ajst-18570	27	6	conditions	condition	NOUN
ajst-18570	27	7	the	the	DET
ajst-18570	27	8	handwritten	handwritten	ADJ
ajst-18570	27	9	text	text	NOUN
ajst-18570	27	10	generation	generation	NOUN
ajst-18570	27	11	process	process	NOUN
ajst-18570	27	12	on	on	ADP
ajst-18570	27	13	text	text	NOUN
ajst-18570	27	14	content	content	NOUN
ajst-18570	27	15	and	and	CCONJ
ajst-18570	27	16	stylistic	stylistic	ADJ
ajst-18570	27	17	features	feature	NOUN
ajst-18570	27	18	in	in	ADP
ajst-18570	27	19	scenarios	scenario	NOUN
ajst-18570	27	20	with	with	ADP
ajst-18570	27	21	few	few	ADJ
ajst-18570	27	22	samples	sample	NOUN
ajst-18570	27	23	.	.	PUNCT
ajst-18570	28	1	nevertheless	nevertheless	ADV
ajst-18570	28	2	,	,	PUNCT
ajst-18570	28	3	both	both	DET
ajst-18570	28	4	methods	method	NOUN
ajst-18570	28	5	face	face	VERB
ajst-18570	28	6	crucial	crucial	ADJ
ajst-18570	28	7	challenges	challenge	NOUN
ajst-18570	28	8	impacting	impact	VERB
ajst-18570	28	9	the	the	DET
ajst-18570	28	10	generation	generation	NOUN
ajst-18570	28	11	of	of	ADP
ajst-18570	28	12	stylistic	stylistic	ADJ
ajst-18570	28	13	handwritten	handwritten	ADJ
ajst-18570	28	14	text	text	NOUN
ajst-18570	28	15	images.firstly	images.firstly	ADV
ajst-18570	28	16	,	,	PUNCT
ajst-18570	28	17	the	the	DET
ajst-18570	28	18	loose	loose	ADJ
ajst-18570	28	19	relationship	relationship	NOUN
ajst-18570	28	20	between	between	ADP
ajst-18570	28	21	style	style	NOUN
ajst-18570	28	22	and	and	CCONJ
ajst-18570	28	23	content	content	NOUN
ajst-18570	28	24	in	in	ADP
ajst-18570	28	25	these	these	DET
ajst-18570	28	26	methods	method	NOUN
ajst-18570	28	27	,	,	PUNCT
ajst-18570	28	28	treating	treat	VERB
ajst-18570	28	29	their	their	PRON
ajst-18570	28	30	representational	representational	ADJ
ajst-18570	28	31	characteristics	characteristic	NOUN
ajst-18570	28	32	separately	separately	ADV
ajst-18570	28	33	and	and	CCONJ
ajst-18570	28	34	linking	link	VERB
ajst-18570	28	35	them	they	PRON
ajst-18570	28	36	later	later	ADV
ajst-18570	28	37	,	,	PUNCT
ajst-18570	28	38	poses	pose	VERB
ajst-18570	28	39	an	an	DET
ajst-18570	28	40	issue	issue	NOUN
ajst-18570	28	41	.	.	PUNCT
ajst-18570	29	1	although	although	SCONJ
ajst-18570	29	2	this	this	DET
ajst-18570	29	3	scheme	scheme	NOUN
ajst-18570	29	4	enables	enable	VERB
ajst-18570	29	5	entanglement	entanglement	NOUN
ajst-18570	29	6	between	between	ADP
ajst-18570	29	7	style	style	NOUN
ajst-18570	29	8	and	and	CCONJ
ajst-18570	29	9	content	content	NOUN
ajst-18570	29	10	at	at	ADP
ajst-18570	29	11	the	the	DET
ajst-18570	29	12	word	word	NOUN
ajst-18570	29	13	/	/	SYM
ajst-18570	29	14	line	line	NOUN
ajst-18570	29	15	level	level	NOUN
ajst-18570	29	16	,	,	PUNCT
ajst-18570	29	17	it	it	PRON
ajst-18570	29	18	lacks	lack	VERB
ajst-18570	29	19	explicit	explicit	ADJ
ajst-18570	29	20	enforcement	enforcement	NOUN
ajst-18570	29	21	of	of	ADP
ajst-18570	29	22	style	style	NOUN
ajst-18570	29	23	-	-	PUNCT
ajst-18570	29	24	content	content	NOUN
ajst-18570	29	25	entanglement	entanglement	NOUN
ajst-18570	29	26	at	at	ADP
ajst-18570	29	27	the	the	DET
ajst-18570	29	28	character	character	NOUN
ajst-18570	29	29	level	level	NOUN
ajst-18570	29	30	.	.	PUNCT
ajst-18570	30	1	secondly	secondly	ADV
ajst-18570	30	2	,	,	PUNCT
ajst-18570	30	3	while	while	SCONJ
ajst-18570	30	4	these	these	DET
ajst-18570	30	5	techniques	technique	NOUN
ajst-18570	30	6	capture	capture	VERB
ajst-18570	30	7	global	global	ADJ
ajst-18570	30	8	writing	writing	NOUN
ajst-18570	30	9	styles	style	NOUN
ajst-18570	30	10	like	like	ADP
ajst-18570	30	11	ink	ink	NOUN
ajst-18570	30	12	width	width	NOUN
ajst-18570	30	13	and	and	CCONJ
ajst-18570	30	14	writing	write	VERB
ajst-18570	30	15	tilt	tilt	NOUN
ajst-18570	30	16	,	,	PUNCT
ajst-18570	30	17	they	they	PRON
ajst-18570	30	18	do	do	AUX
ajst-18570	30	19	not	not	PART
ajst-18570	30	20	explicitly	explicitly	ADV
ajst-18570	30	21	encode	encode	VERB
ajst-18570	30	22	local	local	ADJ
ajst-18570	30	23	style	style	NOUN
ajst-18570	30	24	patterns	pattern	NOUN
ajst-18570	30	25	such	such	ADJ
ajst-18570	30	26	as	as	ADP
ajst-18570	30	27	character	character	NOUN
ajst-18570	30	28	styles	style	NOUN
ajst-18570	30	29	and	and	CCONJ
ajst-18570	30	30	hyphens	hyphen	NOUN
ajst-18570	30	31	.	.	PUNCT
ajst-18570	31	1	consequently	consequently	ADV
ajst-18570	31	2	,	,	PUNCT
ajst-18570	31	3	accurately	accurately	ADV
ajst-18570	31	4	mimicking	mimic	VERB
ajst-18570	31	5	native	native	ADJ
ajst-18570	31	6	calligraphy	calligraphy	NOUN
ajst-18570	31	7	style	style	NOUN
ajst-18570	31	8	patterns	pattern	NOUN
ajst-18570	31	9	in	in	ADP
ajst-18570	31	10	the	the	DET
ajst-18570	31	11	reference	reference	NOUN
ajst-18570	31	12	style	style	NOUN
ajst-18570	31	13	examples	example	NOUN
ajst-18570	31	14	becomes	become	VERB
ajst-18570	31	15	challenging	challenging	ADJ
ajst-18570	31	16	.	.	PUNCT
ajst-18570	32	1	another	another	DET
ajst-18570	32	2	approach	approach	NOUN
ajst-18570	32	3	is	be	AUX
ajst-18570	32	4	scrabblegan[13	scrabblegan[13	PROPN
ajst-18570	32	5	]	]	PUNCT
ajst-18570	32	6	,	,	PUNCT
ajst-18570	32	7	which	which	PRON
ajst-18570	32	8	uses	use	VERB
ajst-18570	32	9	a	a	DET
ajst-18570	32	10	fully	fully	ADV
ajst-18570	32	11	convolutional	convolutional	ADJ
ajst-18570	32	12	architecture	architecture	NOUN
ajst-18570	32	13	to	to	PART
ajst-18570	32	14	synthesize	synthesize	VERB
ajst-18570	32	15	handwritten	handwritten	ADJ
ajst-18570	32	16	words	word	NOUN
ajst-18570	32	17	,	,	PUNCT
ajst-18570	32	18	achieving	achieve	VERB
ajst-18570	32	19	impressive	impressive	ADJ
ajst-18570	32	20	results	result	NOUN
ajst-18570	32	21	in	in	ADP
ajst-18570	32	22	terms	term	NOUN
ajst-18570	32	23	of	of	ADP
ajst-18570	32	24	content	content	NOUN
ajst-18570	32	25	,	,	PUNCT
ajst-18570	32	26	but	but	CCONJ
ajst-18570	32	27	neither	neither	DET
ajst-18570	32	28	approach	approach	NOUN
ajst-18570	32	29	is	be	AUX
ajst-18570	32	30	adapted	adapt	VERB
ajst-18570	32	31	to	to	ADP
ajst-18570	32	32	a	a	DET
ajst-18570	32	33	particular	particular	ADJ
ajst-18570	32	34	author	author	NOUN
ajst-18570	32	35	's	's	PART
ajst-18570	32	36	handwriting	handwriting	NOUN
ajst-18570	32	37	style.in	style.in	ADJ
ajst-18570	32	38	addition	addition	NOUN
ajst-18570	32	39	,	,	PUNCT
ajst-18570	32	40	another	another	DET
ajst-18570	32	41	approach	approach	NOUN
ajst-18570	32	42	is	be	AUX
ajst-18570	32	43	to	to	PART
ajst-18570	32	44	use	use	VERB
ajst-18570	32	45	the	the	DET
ajst-18570	32	46	transformer	transformer	NOUN
ajst-18570	32	47	model	model	NOUN
ajst-18570	32	48	,	,	PUNCT
ajst-18570	32	49	proposed	propose	VERB
ajst-18570	32	50	by	by	ADP
ajst-18570	32	51	kumar	kumar	PROPN
ajst-18570	32	52	et	et	PROPN
ajst-18570	32	53	al	al	PROPN
ajst-18570	32	54	.	.	PROPN
ajst-18570	32	55	,	,	PUNCT
ajst-18570	32	56	the	the	DET
ajst-18570	32	57	first	first	ADJ
ajst-18570	32	58	generation	generation	NOUN
ajst-18570	32	59	network	network	NOUN
ajst-18570	32	60	to	to	PART
ajst-18570	32	61	introduce	introduce	VERB
ajst-18570	32	62	transformer	transformer	NOUN
ajst-18570	32	63	for	for	ADP
ajst-18570	32	64	stylized	stylize	VERB
ajst-18570	32	65	handwritten	handwritten	ADJ
ajst-18570	32	66	text	text	NOUN
ajst-18570	32	67	generation	generation	NOUN
ajst-18570	32	68	.	.	PUNCT
ajst-18570	33	1	however	however	ADV
ajst-18570	33	2	,	,	PUNCT
ajst-18570	33	3	the	the	DET
ajst-18570	33	4	use	use	NOUN
ajst-18570	33	5	of	of	ADP
ajst-18570	33	6	traditional	traditional	ADJ
ajst-18570	33	7	transformer	transformer	NOUN
ajst-18570	33	8	also	also	ADV
ajst-18570	33	9	brings	bring	VERB
ajst-18570	33	10	a	a	DET
ajst-18570	33	11	huge	huge	ADJ
ajst-18570	33	12	increase	increase	NOUN
ajst-18570	33	13	in	in	ADP
ajst-18570	33	14	the	the	DET
ajst-18570	33	15	number	number	NOUN
ajst-18570	33	16	of	of	ADP
ajst-18570	33	17	parameters	parameter	NOUN
ajst-18570	33	18	and	and	CCONJ
ajst-18570	33	19	computation	computation	NOUN
ajst-18570	33	20	.	.	PUNCT
ajst-18570	34	1	1.1	1.1	NUM
ajst-18570	34	2	.	.	PUNCT
ajst-18570	34	3	contribution	contribution	NOUN
ajst-18570	34	4	this	this	DET
ajst-18570	34	5	paper	paper	NOUN
ajst-18570	34	6	introduces	introduce	VERB
ajst-18570	34	7	a	a	DET
ajst-18570	34	8	generative	generative	ADJ
ajst-18570	34	9	adversarial	adversarial	ADJ
ajst-18570	34	10	network	network	NOUN
ajst-18570	34	11	(	(	PUNCT
ajst-18570	34	12	gan	gan	PROPN
ajst-18570	34	13	)	)	PUNCT
ajst-18570	34	14	based	base	VERB
ajst-18570	34	15	on	on	ADP
ajst-18570	34	16	the	the	DET
ajst-18570	34	17	transformer	transformer	NOUN
ajst-18570	34	18	design	design	NOUN
ajst-18570	34	19	,	,	PUNCT
ajst-18570	34	20	enhancing	enhance	VERB
ajst-18570	34	21	the	the	DET
ajst-18570	34	22	backbone	backbone	NOUN
ajst-18570	34	23	network	network	NOUN
ajst-18570	34	24	of	of	ADP
ajst-18570	34	25	the	the	DET
ajst-18570	34	26	generator	generator	NOUN
ajst-18570	34	27	by	by	ADP
ajst-18570	34	28	employing	employ	VERB
ajst-18570	34	29	the	the	DET
ajst-18570	34	30	195	195	NUM
ajst-18570	34	31	lightweight	lightweight	NOUN
ajst-18570	34	32	mobilenetv3	mobilenetv3	PROPN
ajst-18570	34	33	backbone	backbone	NOUN
ajst-18570	34	34	and	and	CCONJ
ajst-18570	34	35	integrating	integrate	VERB
ajst-18570	34	36	the	the	DET
ajst-18570	34	37	efficient	efficient	ADJ
ajst-18570	34	38	channel	channel	NOUN
ajst-18570	34	39	attention	attention	NOUN
ajst-18570	34	40	(	(	PUNCT
ajst-18570	34	41	eca	eca	NOUN
ajst-18570	34	42	)	)	PUNCT
ajst-18570	34	43	mechanism	mechanism	NOUN
ajst-18570	34	44	to	to	PART
ajst-18570	34	45	improve	improve	VERB
ajst-18570	34	46	the	the	DET
ajst-18570	34	47	network	network	NOUN
ajst-18570	34	48	's	's	PART
ajst-18570	34	49	focus	focus	NOUN
ajst-18570	34	50	on	on	ADP
ajst-18570	34	51	handwritten	handwritten	ADJ
ajst-18570	34	52	text	text	NOUN
ajst-18570	34	53	targets	target	NOUN
ajst-18570	34	54	.	.	PUNCT
ajst-18570	35	1	the	the	DET
ajst-18570	35	2	generator	generator	NOUN
ajst-18570	35	3	network	network	NOUN
ajst-18570	35	4	in	in	ADP
ajst-18570	35	5	this	this	DET
ajst-18570	35	6	paper	paper	NOUN
ajst-18570	35	7	adopts	adopt	VERB
ajst-18570	35	8	an	an	DET
ajst-18570	35	9	encoder	encoder	NOUN
ajst-18570	35	10	-	-	PUNCT
ajst-18570	35	11	decoder	decoder	NOUN
ajst-18570	35	12	structure	structure	NOUN
ajst-18570	35	13	.	.	PUNCT
ajst-18570	36	1	after	after	ADP
ajst-18570	36	2	obtaining	obtain	VERB
ajst-18570	36	3	feature	feature	NOUN
ajst-18570	36	4	maps	map	NOUN
ajst-18570	36	5	through	through	ADP
ajst-18570	36	6	a	a	DET
ajst-18570	36	7	convolutional	convolutional	ADJ
ajst-18570	36	8	network	network	NOUN
ajst-18570	36	9	from	from	ADP
ajst-18570	36	10	the	the	DET
ajst-18570	36	11	input	input	NOUN
ajst-18570	36	12	handwritten	handwritten	ADJ
ajst-18570	36	13	text	text	NOUN
ajst-18570	36	14	images	image	NOUN
ajst-18570	36	15	,	,	PUNCT
ajst-18570	36	16	the	the	DET
ajst-18570	36	17	feature	feature	NOUN
ajst-18570	36	18	maps	map	NOUN
ajst-18570	36	19	undergo	undergo	VERB
ajst-18570	36	20	flattening	flattening	NOUN
ajst-18570	36	21	,	,	PUNCT
ajst-18570	36	22	reshaping	reshaping	NOUN
ajst-18570	36	23	,	,	PUNCT
ajst-18570	36	24	and	and	CCONJ
ajst-18570	36	25	concatenation	concatenation	NOUN
ajst-18570	36	26	operations	operation	NOUN
ajst-18570	36	27	.	.	PUNCT
ajst-18570	37	1	subsequently	subsequently	ADV
ajst-18570	37	2	,	,	PUNCT
ajst-18570	37	3	the	the	DET
ajst-18570	37	4	transformer	transformer	NOUN
ajst-18570	37	5	encoder	encoder	NOUN
ajst-18570	37	6	network	network	NOUN
ajst-18570	37	7	utilizes	utilize	VERB
ajst-18570	37	8	a	a	DET
ajst-18570	37	9	multi	multi	ADJ
ajst-18570	37	10	-	-	ADJ
ajst-18570	37	11	head	head	ADJ
ajst-18570	37	12	self	self	NOUN
ajst-18570	37	13	-	-	PUNCT
ajst-18570	37	14	attention	attention	NOUN
ajst-18570	37	15	mechanism	mechanism	NOUN
ajst-18570	37	16	to	to	PART
ajst-18570	37	17	generate	generate	VERB
ajst-18570	37	18	a	a	DET
ajst-18570	37	19	selfattentive	selfattentive	ADJ
ajst-18570	37	20	style	style	NOUN
ajst-18570	37	21	feature	feature	NOUN
ajst-18570	37	22	sequence	sequence	NOUN
ajst-18570	37	23	of	of	ADP
ajst-18570	37	24	the	the	DET
ajst-18570	37	25	author	author	NOUN
ajst-18570	37	26	.	.	PUNCT
ajst-18570	38	1	this	this	DET
ajst-18570	38	2	feature	feature	NOUN
ajst-18570	38	3	sequence	sequence	NOUN
ajst-18570	38	4	is	be	AUX
ajst-18570	38	5	then	then	ADV
ajst-18570	38	6	input	input	ADJ
ajst-18570	38	7	into	into	ADP
ajst-18570	38	8	the	the	DET
ajst-18570	38	9	decoder	decoder	NOUN
ajst-18570	38	10	network	network	NOUN
ajst-18570	38	11	,	,	PUNCT
ajst-18570	38	12	which	which	PRON
ajst-18570	38	13	consists	consist	VERB
ajst-18570	38	14	of	of	ADP
ajst-18570	38	15	multi	multi	ADJ
ajst-18570	38	16	-	-	ADJ
ajst-18570	38	17	head	head	ADJ
ajst-18570	38	18	self	self	NOUN
ajst-18570	38	19	-	-	PUNCT
ajst-18570	38	20	attention	attention	NOUN
ajst-18570	38	21	and	and	CCONJ
ajst-18570	38	22	encoder	encoder	NOUN
ajst-18570	38	23	-	-	PUNCT
ajst-18570	38	24	decoder	decoder	NOUN
ajst-18570	38	25	attention	attention	NOUN
ajst-18570	38	26	,	,	PUNCT
ajst-18570	38	27	to	to	PART
ajst-18570	38	28	generate	generate	VERB
ajst-18570	38	29	character	character	NOUN
ajst-18570	38	30	-	-	PUNCT
ajst-18570	38	31	specific	specific	ADJ
ajst-18570	38	32	style	style	NOUN
ajst-18570	38	33	attributes	attribute	NOUN
ajst-18570	38	34	based	base	VERB
ajst-18570	38	35	on	on	ADP
ajst-18570	38	36	a	a	DET
ajst-18570	38	37	set	set	NOUN
ajst-18570	38	38	of	of	ADP
ajst-18570	38	39	query	query	NOUN
ajst-18570	38	40	word	word	NOUN
ajst-18570	38	41	strings	string	NOUN
ajst-18570	38	42	.	.	PUNCT
ajst-18570	39	1	finally	finally	ADV
ajst-18570	39	2	,	,	PUNCT
ajst-18570	39	3	the	the	DET
ajst-18570	39	4	output	output	NOUN
ajst-18570	39	5	obtained	obtain	VERB
ajst-18570	39	6	from	from	ADP
ajst-18570	39	7	the	the	DET
ajst-18570	39	8	transformer	transformer	NOUN
ajst-18570	39	9	decoder	decoder	NOUN
ajst-18570	39	10	is	be	AUX
ajst-18570	39	11	fed	feed	VERB
ajst-18570	39	12	into	into	ADP
ajst-18570	39	13	a	a	DET
ajst-18570	39	14	fully	fully	ADV
ajst-18570	39	15	convolutional	convolutional	ADJ
ajst-18570	39	16	decoder	decoder	NOUN
ajst-18570	39	17	to	to	PART
ajst-18570	39	18	generate	generate	VERB
ajst-18570	39	19	the	the	DET
ajst-18570	39	20	final	final	ADJ
ajst-18570	39	21	stylized	stylize	VERB
ajst-18570	39	22	handwritten	handwritten	ADJ
ajst-18570	39	23	text	text	NOUN
ajst-18570	39	24	image	image	NOUN
ajst-18570	39	25	.	.	PUNCT
ajst-18570	40	1	additionally	additionally	ADV
ajst-18570	40	2	,	,	PUNCT
ajst-18570	40	3	we	we	PRON
ajst-18570	40	4	enhance	enhance	VERB
ajst-18570	40	5	the	the	DET
ajst-18570	40	6	style	style	NOUN
ajst-18570	40	7	consistency	consistency	NOUN
ajst-18570	40	8	of	of	ADP
ajst-18570	40	9	the	the	DET
ajst-18570	40	10	generated	generate	VERB
ajst-18570	40	11	text	text	NOUN
ajst-18570	40	12	by	by	ADP
ajst-18570	40	13	constraining	constrain	VERB
ajst-18570	40	14	the	the	DET
ajst-18570	40	15	decoder	decoder	NOUN
ajst-18570	40	16	output	output	NOUN
ajst-18570	40	17	through	through	ADP
ajst-18570	40	18	a	a	DET
ajst-18570	40	19	loss	loss	NOUN
ajst-18570	40	20	function	function	NOUN
ajst-18570	40	21	,	,	PUNCT
ajst-18570	40	22	aiming	aim	VERB
ajst-18570	40	23	to	to	PART
ajst-18570	40	24	re	re	VERB
ajst-18570	40	25	-	-	VERB
ajst-18570	40	26	generate	generate	VERB
ajst-18570	40	27	the	the	DET
ajst-18570	40	28	author	author	NOUN
ajst-18570	40	29	's	's	PART
ajst-18570	40	30	style	style	NOUN
ajst-18570	40	31	feature	feature	NOUN
ajst-18570	40	32	sequence	sequence	NOUN
ajst-18570	40	33	at	at	ADP
ajst-18570	40	34	the	the	DET
ajst-18570	40	35	encoder	encoder	NOUN
ajst-18570	40	36	.	.	PUNCT
ajst-18570	41	1	the	the	DET
ajst-18570	41	2	proposed	propose	VERB
ajst-18570	41	3	gan	gan	PROPN
ajst-18570	41	4	model	model	NOUN
ajst-18570	41	5	in	in	ADP
ajst-18570	41	6	this	this	DET
ajst-18570	41	7	paper	paper	NOUN
ajst-18570	41	8	simulates	simulate	VERB
ajst-18570	41	9	the	the	DET
ajst-18570	41	10	author	author	NOUN
ajst-18570	41	11	's	's	PART
ajst-18570	41	12	style	style	NOUN
ajst-18570	41	13	given	give	VERB
ajst-18570	41	14	a	a	DET
ajst-18570	41	15	query	query	NOUN
ajst-18570	41	16	content	content	NOUN
ajst-18570	41	17	through	through	ADP
ajst-18570	41	18	multi	multi	ADJ
ajst-18570	41	19	-	-	ADJ
ajst-18570	41	20	head	head	ADJ
ajst-18570	41	21	self	self	NOUN
ajst-18570	41	22	-	-	PUNCT
ajst-18570	41	23	attention	attention	NOUN
ajst-18570	41	24	and	and	CCONJ
ajst-18570	41	25	encoder	encoder	NOUN
ajst-18570	41	26	-	-	PUNCT
ajst-18570	41	27	decoder	decoder	NOUN
ajst-18570	41	28	attention	attention	NOUN
ajst-18570	41	29	mechanisms	mechanism	NOUN
ajst-18570	41	30	,	,	PUNCT
ajst-18570	41	31	emphasizing	emphasize	VERB
ajst-18570	41	32	relevant	relevant	ADJ
ajst-18570	41	33	self	self	NOUN
ajst-18570	41	34	-	-	PUNCT
ajst-18570	41	35	attentive	attentive	ADJ
ajst-18570	41	36	style	style	NOUN
ajst-18570	41	37	features	feature	VERB
ajst-18570	41	38	with	with	ADP
ajst-18570	41	39	respect	respect	NOUN
ajst-18570	41	40	to	to	ADP
ajst-18570	41	41	each	each	DET
ajst-18570	41	42	character	character	NOUN
ajst-18570	41	43	in	in	ADP
ajst-18570	41	44	the	the	DET
ajst-18570	41	45	query	query	NOUN
ajst-18570	41	46	.	.	PUNCT
ajst-18570	42	1	this	this	PRON
ajst-18570	42	2	enables	enable	VERB
ajst-18570	42	3	the	the	DET
ajst-18570	42	4	capture	capture	NOUN
ajst-18570	42	5	of	of	ADP
ajst-18570	42	6	style	style	NOUN
ajst-18570	42	7	-	-	PUNCT
ajst-18570	42	8	content	content	NOUN
ajst-18570	42	9	entanglement	entanglement	NOUN
ajst-18570	42	10	at	at	ADP
ajst-18570	42	11	the	the	DET
ajst-18570	42	12	character	character	NOUN
ajst-18570	42	13	level	level	NOUN
ajst-18570	42	14	.	.	PUNCT
ajst-18570	43	1	furthermore	furthermore	ADV
ajst-18570	43	2	,	,	PUNCT
ajst-18570	43	3	the	the	DET
ajst-18570	43	4	self	self	NOUN
ajst-18570	43	5	-	-	PUNCT
ajst-18570	43	6	attentive	attentive	ADJ
ajst-18570	43	7	style	style	NOUN
ajst-18570	43	8	feature	feature	NOUN
ajst-18570	43	9	sequence	sequence	NOUN
ajst-18570	43	10	generated	generate	VERB
ajst-18570	43	11	by	by	ADP
ajst-18570	43	12	our	our	PRON
ajst-18570	43	13	encoder	encoder	NOUN
ajst-18570	43	14	encompasses	encompass	VERB
ajst-18570	43	15	both	both	CCONJ
ajst-18570	43	16	the	the	DET
ajst-18570	43	17	global	global	ADJ
ajst-18570	43	18	(	(	PUNCT
ajst-18570	43	19	e.g.	e.g.	ADV
ajst-18570	43	20	,	,	PUNCT
ajst-18570	43	21	ink	ink	NOUN
ajst-18570	43	22	width	width	NOUN
ajst-18570	43	23	,	,	PUNCT
ajst-18570	43	24	slant	slant	NOUN
ajst-18570	43	25	)	)	PUNCT
ajst-18570	43	26	and	and	CCONJ
ajst-18570	43	27	local	local	ADJ
ajst-18570	43	28	styles	style	NOUN
ajst-18570	43	29	(	(	PUNCT
ajst-18570	43	30	e.g.	e.g.	ADV
ajst-18570	43	31	,	,	PUNCT
ajst-18570	43	32	character	character	NOUN
ajst-18570	43	33	style	style	NOUN
ajst-18570	43	34	,	,	PUNCT
ajst-18570	43	35	ligatures	ligature	NOUN
ajst-18570	43	36	)	)	PUNCT
ajst-18570	43	37	of	of	ADP
ajst-18570	43	38	the	the	DET
ajst-18570	43	39	author	author	NOUN
ajst-18570	43	40	's	's	PART
ajst-18570	43	41	handwritten	handwritten	ADJ
ajst-18570	43	42	text	text	NOUN
ajst-18570	43	43	within	within	ADP
ajst-18570	43	44	the	the	DET
ajst-18570	43	45	feature	feature	NOUN
ajst-18570	43	46	sequence	sequence	NOUN
ajst-18570	43	47	.	.	PUNCT
ajst-18570	44	1	2	2	X
ajst-18570	44	2	.	.	X
ajst-18570	44	3	related	relate	VERB
ajst-18570	44	4	work	work	NOUN
ajst-18570	44	5	handwritten	handwritten	ADJ
ajst-18570	44	6	text	text	NOUN
ajst-18570	44	7	can	can	AUX
ajst-18570	44	8	be	be	AUX
ajst-18570	44	9	seen	see	VERB
ajst-18570	44	10	as	as	ADP
ajst-18570	44	11	a	a	DET
ajst-18570	44	12	trace	trace	NOUN
ajst-18570	44	13	that	that	PRON
ajst-18570	44	14	captures	capture	VERB
ajst-18570	44	15	the	the	DET
ajst-18570	44	16	stroke	stroke	NOUN
ajst-18570	44	17	shapes	shape	NOUN
ajst-18570	44	18	that	that	PRON
ajst-18570	44	19	make	make	VERB
ajst-18570	44	20	up	up	ADP
ajst-18570	44	21	a	a	DET
ajst-18570	44	22	character	character	NOUN
ajst-18570	44	23	,	,	PUNCT
ajst-18570	44	24	or	or	CCONJ
ajst-18570	44	25	a	a	DET
ajst-18570	44	26	still	still	ADV
ajst-18570	44	27	image	image	NOUN
ajst-18570	44	28	that	that	PRON
ajst-18570	44	29	captures	capture	VERB
ajst-18570	44	30	its	its	PRON
ajst-18570	44	31	overall	overall	ADJ
ajst-18570	44	32	appearance	appearance	NOUN
ajst-18570	44	33	.	.	PUNCT
ajst-18570	45	1	according	accord	VERB
ajst-18570	45	2	to	to	ADP
ajst-18570	45	3	this	this	DET
ajst-18570	45	4	concept	concept	NOUN
ajst-18570	45	5	,	,	PUNCT
ajst-18570	45	6	the	the	DET
ajst-18570	45	7	research	research	NOUN
ajst-18570	45	8	of	of	ADP
ajst-18570	45	9	handwritten	handwritten	ADJ
ajst-18570	45	10	text	text	NOUN
ajst-18570	45	11	generation	generation	NOUN
ajst-18570	45	12	can	can	AUX
ajst-18570	45	13	be	be	AUX
ajst-18570	45	14	divided	divide	VERB
ajst-18570	45	15	into	into	ADP
ajst-18570	45	16	online	online	ADJ
ajst-18570	45	17	handwritten	handwritten	ADJ
ajst-18570	45	18	text	text	NOUN
ajst-18570	45	19	generation	generation	NOUN
ajst-18570	45	20	and	and	CCONJ
ajst-18570	45	21	offline	offline	ADJ
ajst-18570	45	22	handwritten	handwritten	ADJ
ajst-18570	45	23	text	text	NOUN
ajst-18570	45	24	image	image	NOUN
ajst-18570	45	25	generation	generation	NOUN
ajst-18570	45	26	.	.	PUNCT
ajst-18570	46	1	the	the	DET
ajst-18570	46	2	online	online	ADJ
ajst-18570	46	3	htg[14,15	htg[14,15	PROPN
ajst-18570	46	4	]	]	X
ajst-18570	46	5	method	method	NOUN
ajst-18570	46	6	utilizes	utilize	VERB
ajst-18570	46	7	a	a	DET
ajst-18570	46	8	sequential	sequential	ADJ
ajst-18570	46	9	model	model	NOUN
ajst-18570	46	10	,	,	PUNCT
ajst-18570	46	11	such	such	ADJ
ajst-18570	46	12	as	as	ADP
ajst-18570	46	13	lstms	lstms	ADJ
ajst-18570	46	14	,	,	PUNCT
ajst-18570	46	15	conditional	conditional	ADJ
ajst-18570	46	16	variational	variational	ADJ
ajst-18570	46	17	rnns	rnn	NOUN
ajst-18570	46	18	,	,	PUNCT
ajst-18570	46	19	or	or	CCONJ
ajst-18570	46	20	stochastic	stochastic	ADJ
ajst-18570	46	21	temporal	temporal	ADJ
ajst-18570	46	22	cnns	cnn	NOUN
ajst-18570	46	23	,	,	PUNCT
ajst-18570	46	24	to	to	PART
ajst-18570	46	25	predict	predict	VERB
ajst-18570	46	26	the	the	DET
ajst-18570	46	27	position	position	NOUN
ajst-18570	46	28	of	of	ADP
ajst-18570	46	29	the	the	DET
ajst-18570	46	30	pen	pen	NOUN
ajst-18570	46	31	point	point	NOUN
ajst-18570	46	32	by	by	ADP
ajst-18570	46	33	point	point	NOUN
ajst-18570	46	34	based	base	VERB
ajst-18570	46	35	on	on	ADP
ajst-18570	46	36	the	the	DET
ajst-18570	46	37	current	current	ADJ
ajst-18570	46	38	position	position	NOUN
ajst-18570	46	39	and	and	CCONJ
ajst-18570	46	40	the	the	DET
ajst-18570	46	41	input	input	NOUN
ajst-18570	46	42	text	text	NOUN
ajst-18570	46	43	to	to	PART
ajst-18570	46	44	be	be	AUX
ajst-18570	46	45	rendered	render	VERB
ajst-18570	46	46	.	.	PUNCT
ajst-18570	47	1	the	the	DET
ajst-18570	47	2	earliest	early	ADJ
ajst-18570	47	3	methods	method	NOUN
ajst-18570	47	4	to	to	PART
ajst-18570	47	5	adopt	adopt	VERB
ajst-18570	47	6	this	this	DET
ajst-18570	47	7	strategy	strategy	NOUN
ajst-18570	47	8	have	have	VERB
ajst-18570	47	9	no	no	DET
ajst-18570	47	10	control	control	NOUN
ajst-18570	47	11	over	over	ADP
ajst-18570	47	12	style	style	NOUN
ajst-18570	47	13	.	.	PUNCT
ajst-18570	48	1	this	this	DET
ajst-18570	48	2	limitation	limitation	NOUN
ajst-18570	48	3	was	be	AUX
ajst-18570	48	4	then	then	ADV
ajst-18570	48	5	addressed	address	VERB
ajst-18570	48	6	by	by	ADP
ajst-18570	48	7	subsequent	subsequent	ADJ
ajst-18570	48	8	work	work	NOUN
ajst-18570	48	9	to	to	PART
ajst-18570	48	10	decouple	decouple	VERB
ajst-18570	48	11	and	and	CCONJ
ajst-18570	48	12	then	then	ADV
ajst-18570	48	13	recombine	recombine	VERB
ajst-18570	48	14	content	content	NOUN
ajst-18570	48	15	and	and	CCONJ
ajst-18570	48	16	author	author	NOUN
ajst-18570	48	17	styles	style	NOUN
ajst-18570	48	18	.	.	PUNCT
ajst-18570	49	1	the	the	DET
ajst-18570	49	2	main	main	ADJ
ajst-18570	49	3	disadvantages	disadvantage	NOUN
ajst-18570	49	4	of	of	ADP
ajst-18570	49	5	online	online	PROPN
ajst-18570	49	6	htg	htg	PROPN
ajst-18570	49	7	methods	method	NOUN
ajst-18570	49	8	are	be	AUX
ajst-18570	49	9	that	that	SCONJ
ajst-18570	49	10	they	they	PRON
ajst-18570	49	11	are	be	AUX
ajst-18570	49	12	difficult	difficult	ADJ
ajst-18570	49	13	to	to	PART
ajst-18570	49	14	learn	learn	VERB
ajst-18570	49	15	long	long	ADJ
ajst-18570	49	16	-	-	PUNCT
ajst-18570	49	17	term	term	NOUN
ajst-18570	49	18	dependencies	dependency	NOUN
ajst-18570	49	19	,	,	PUNCT
ajst-18570	49	20	and	and	CCONJ
ajst-18570	49	21	they	they	PRON
ajst-18570	49	22	require	require	VERB
ajst-18570	49	23	training	training	NOUN
ajst-18570	49	24	data	datum	NOUN
ajst-18570	49	25	composed	compose	VERB
ajst-18570	49	26	of	of	ADP
ajst-18570	49	27	digital	digital	ADJ
ajst-18570	49	28	transcripts	transcript	NOUN
ajst-18570	49	29	,	,	PUNCT
ajst-18570	49	30	which	which	PRON
ajst-18570	49	31	are	be	AUX
ajst-18570	49	32	difficult	difficult	ADJ
ajst-18570	49	33	to	to	PART
ajst-18570	49	34	collect	collect	VERB
ajst-18570	49	35	and	and	CCONJ
ajst-18570	49	36	may	may	AUX
ajst-18570	49	37	not	not	PART
ajst-18570	49	38	even	even	ADV
ajst-18570	49	39	be	be	AUX
ajst-18570	49	40	available	available	ADJ
ajst-18570	49	41	in	in	ADP
ajst-18570	49	42	the	the	DET
ajst-18570	49	43	application	application	NOUN
ajst-18570	49	44	scenario	scenario	NOUN
ajst-18570	49	45	of	of	ADP
ajst-18570	49	46	historical	historical	ADJ
ajst-18570	49	47	manuscripts	manuscript	NOUN
ajst-18570	49	48	.	.	PUNCT
ajst-18570	50	1	therefore	therefore	ADV
ajst-18570	50	2	,	,	PUNCT
ajst-18570	50	3	in	in	ADP
ajst-18570	50	4	this	this	DET
ajst-18570	50	5	paper	paper	NOUN
ajst-18570	50	6	,	,	PUNCT
ajst-18570	50	7	we	we	PRON
ajst-18570	50	8	employ	employ	VERB
ajst-18570	50	9	off	off	ADP
ajst-18570	50	10	-	-	PUNCT
ajst-18570	50	11	line	line	NOUN
ajst-18570	50	12	htg	htg	NOUN
ajst-18570	50	13	methods	method	NOUN
ajst-18570	50	14	,	,	PUNCT
ajst-18570	50	15	which	which	PRON
ajst-18570	50	16	typically	typically	ADV
ajst-18570	50	17	allow	allow	VERB
ajst-18570	50	18	inference	inference	NOUN
ajst-18570	50	19	of	of	ADP
ajst-18570	50	20	stylistic	stylistic	ADJ
ajst-18570	50	21	glyphs	glyph	NOUN
ajst-18570	50	22	that	that	PRON
ajst-18570	50	23	are	be	AUX
ajst-18570	50	24	not	not	PART
ajst-18570	50	25	directly	directly	ADV
ajst-18570	50	26	observed	observe	VERB
ajst-18570	50	27	in	in	ADP
ajst-18570	50	28	style	style	NOUN
ajst-18570	50	29	examples	example	NOUN
ajst-18570	50	30	by	by	ADP
ajst-18570	50	31	using	use	VERB
ajst-18570	50	32	gans	gan	NOUN
ajst-18570	50	33	for	for	ADP
ajst-18570	50	34	either	either	CCONJ
ajst-18570	50	35	non	non	ADJ
ajst-18570	50	36	-	-	ADJ
ajst-18570	50	37	styled	styled	ADJ
ajst-18570	50	38	or	or	CCONJ
ajst-18570	50	39	conditional	conditional	ADJ
ajst-18570	50	40	htg	htg	NOUN
ajst-18570	50	41	.	.	PUNCT
ajst-18570	51	1	learning	learning	NOUN
ajst-18570	51	2	-	-	PUNCT
ajst-18570	51	3	based	base	VERB
ajst-18570	51	4	solutions	solution	NOUN
ajst-18570	51	5	rely	rely	VERB
ajst-18570	51	6	on	on	ADP
ajst-18570	51	7	gans	gan	NOUN
ajst-18570	51	8	,	,	PUNCT
ajst-18570	51	9	either	either	CCONJ
ajst-18570	51	10	unconditionally	unconditionally	ADV
ajst-18570	51	11	(	(	PUNCT
ajst-18570	51	12	for	for	ADP
ajst-18570	51	13	non	non	ADJ
ajst-18570	51	14	-	-	ADJ
ajst-18570	51	15	styled	style	VERB
ajst-18570	51	16	htg	htg	NOUN
ajst-18570	51	17	)	)	PUNCT
ajst-18570	51	18	or	or	CCONJ
ajst-18570	51	19	conditional	conditional	ADJ
ajst-18570	51	20	on	on	ADP
ajst-18570	51	21	a	a	DET
ajst-18570	51	22	different	different	ADJ
ajst-18570	51	23	number	number	NOUN
ajst-18570	51	24	of	of	ADP
ajst-18570	51	25	handwritten	handwritten	ADJ
ajst-18570	51	26	style	style	NOUN
ajst-18570	51	27	samples	sample	NOUN
ajst-18570	51	28	(	(	PUNCT
ajst-18570	51	29	for	for	ADP
ajst-18570	51	30	styled	style	VERB
ajst-18570	51	31	htg	htg	NOUN
ajst-18570	51	32	)	)	PUNCT
ajst-18570	51	33	.	.	PUNCT
ajst-18570	52	1	in	in	ADP
ajst-18570	52	2	the	the	DET
ajst-18570	52	3	latter	latter	ADJ
ajst-18570	52	4	case	case	NOUN
ajst-18570	52	5	,	,	PUNCT
ajst-18570	52	6	the	the	DET
ajst-18570	52	7	style	style	NOUN
ajst-18570	52	8	sample	sample	NOUN
ajst-18570	52	9	can	can	AUX
ajst-18570	52	10	be	be	AUX
ajst-18570	52	11	an	an	DET
ajst-18570	52	12	entire	entire	ADJ
ajst-18570	52	13	paragraph	paragraph	NOUN
ajst-18570	52	14	or	or	CCONJ
ajst-18570	52	15	line	line	NOUN
ajst-18570	52	16	,	,	PUNCT
ajst-18570	52	17	a	a	DET
ajst-18570	52	18	few	few	ADJ
ajst-18570	52	19	words	word	NOUN
ajst-18570	52	20	,	,	PUNCT
ajst-18570	52	21	or	or	CCONJ
ajst-18570	52	22	a	a	DET
ajst-18570	52	23	single	single	ADJ
ajst-18570	52	24	word	word	NOUN
ajst-18570	52	25	.	.	PUNCT
ajst-18570	53	1	the	the	DET
ajst-18570	53	2	first	first	ADJ
ajst-18570	53	3	method	method	NOUN
ajst-18570	53	4	is	be	AUX
ajst-18570	53	5	able	able	ADJ
ajst-18570	53	6	to	to	PART
ajst-18570	53	7	generate	generate	VERB
ajst-18570	53	8	fixed	fix	VERB
ajst-18570	53	9	-	-	PUNCT
ajst-18570	53	10	size	size	NOUN
ajst-18570	53	11	images	image	NOUN
ajst-18570	53	12	based	base	VERB
ajst-18570	53	13	on	on	ADP
ajst-18570	53	14	content	content	NOUN
ajst-18570	53	15	embedding	embed	VERB
ajst-18570	53	16	,	,	PUNCT
ajst-18570	53	17	but	but	CCONJ
ajst-18570	53	18	has	have	VERB
ajst-18570	53	19	no	no	DET
ajst-18570	53	20	control	control	NOUN
ajst-18570	53	21	over	over	ADP
ajst-18570	53	22	the	the	DET
ajst-18570	53	23	calligraphy	calligraphy	NOUN
ajst-18570	53	24	style	style	NOUN
ajst-18570	53	25	.	.	PUNCT
ajst-18570	54	1	unlike	unlike	ADP
ajst-18570	54	2	natural	natural	ADJ
ajst-18570	54	3	image	image	NOUN
ajst-18570	54	4	generation	generation	NOUN
ajst-18570	54	5	,	,	PUNCT
ajst-18570	54	6	generating	generate	VERB
ajst-18570	54	7	handwritten	handwritten	ADJ
ajst-18570	54	8	text	text	NOUN
ajst-18570	54	9	images	image	NOUN
ajst-18570	54	10	requires	require	VERB
ajst-18570	54	11	generating	generate	VERB
ajst-18570	54	12	variable	variable	ADJ
ajst-18570	54	13	-	-	PUNCT
ajst-18570	54	14	size	size	NOUN
ajst-18570	54	15	images	image	NOUN
ajst-18570	54	16	.	.	PUNCT
ajst-18570	55	1	therefore	therefore	ADV
ajst-18570	55	2	,	,	PUNCT
ajst-18570	55	3	the	the	DET
ajst-18570	55	4	method	method	NOUN
ajst-18570	55	5	proposed	propose	VERB
ajst-18570	55	6	in	in	ADP
ajst-18570	55	7	scrabblegan	scrabblegan	NOUN
ajst-18570	55	8	aims	aim	VERB
ajst-18570	55	9	to	to	PART
ajst-18570	55	10	overcome	overcome	VERB
ajst-18570	55	11	this	this	DET
ajst-18570	55	12	limitation	limitation	NOUN
ajst-18570	55	13	by	by	ADP
ajst-18570	55	14	linking	link	VERB
ajst-18570	55	15	character	character	NOUN
ajst-18570	55	16	images	image	NOUN
ajst-18570	55	17	,	,	PUNCT
ajst-18570	55	18	but	but	CCONJ
ajst-18570	55	19	still	still	ADV
ajst-18570	55	20	can	can	AUX
ajst-18570	55	21	not	not	PART
ajst-18570	55	22	mimic	mimic	VERB
ajst-18570	55	23	handwriting	handwriting	NOUN
ajst-18570	55	24	style	style	NOUN
ajst-18570	55	25	.	.	PUNCT
ajst-18570	56	1	unlike	unlike	ADP
ajst-18570	56	2	natural	natural	ADJ
ajst-18570	56	3	image	image	NOUN
ajst-18570	56	4	generation	generation	NOUN
ajst-18570	56	5	,	,	PUNCT
ajst-18570	56	6	generating	generate	VERB
ajst-18570	56	7	handwritten	handwritten	ADJ
ajst-18570	56	8	text	text	NOUN
ajst-18570	56	9	images	image	NOUN
ajst-18570	56	10	should	should	AUX
ajst-18570	56	11	involve	involve	VERB
ajst-18570	56	12	generating	generate	VERB
ajst-18570	56	13	variable	variable	ADJ
ajst-18570	56	14	-	-	PUNCT
ajst-18570	56	15	size	size	NOUN
ajst-18570	56	16	images	image	NOUN
ajst-18570	56	17	.	.	PUNCT
ajst-18570	57	1	thus	thus	ADV
ajst-18570	57	2	,	,	PUNCT
ajst-18570	57	3	the	the	DET
ajst-18570	57	4	method	method	NOUN
ajst-18570	57	5	proposed	propose	VERB
ajst-18570	57	6	in	in	ADP
ajst-18570	57	7	scrabblegan	scrabblegan	NOUN
ajst-18570	57	8	aims	aim	VERB
ajst-18570	57	9	to	to	PART
ajst-18570	57	10	overcome	overcome	VERB
ajst-18570	57	11	this	this	DET
ajst-18570	57	12	limitation	limitation	NOUN
ajst-18570	57	13	by	by	ADP
ajst-18570	57	14	concatenating	concatenate	VERB
ajst-18570	57	15	character	character	NOUN
ajst-18570	57	16	images	image	NOUN
ajst-18570	57	17	,	,	PUNCT
ajst-18570	57	18	but	but	CCONJ
ajst-18570	57	19	is	be	AUX
ajst-18570	57	20	still	still	ADV
ajst-18570	57	21	unable	unable	ADJ
ajst-18570	57	22	to	to	PART
ajst-18570	57	23	mimic	mimic	VERB
ajst-18570	57	24	calligraphic	calligraphic	ADJ
ajst-18570	57	25	styles	style	NOUN
ajst-18570	57	26	.	.	PUNCT
ajst-18570	58	1	the	the	DET
ajst-18570	58	2	solution	solution	NOUN
ajst-18570	58	3	to	to	ADP
ajst-18570	58	4	style	style	PROPN
ajst-18570	58	5	htg	htg	PROPN
ajst-18570	58	6	is	be	AUX
ajst-18570	58	7	not	not	PART
ajst-18570	58	8	only	only	ADV
ajst-18570	58	9	generated	generate	VERB
ajst-18570	58	10	on	on	ADP
ajst-18570	58	11	text	text	NOUN
ajst-18570	58	12	content	content	NOUN
ajst-18570	58	13	,	,	PUNCT
ajst-18570	58	14	but	but	CCONJ
ajst-18570	58	15	also	also	ADV
ajst-18570	58	16	on	on	ADP
ajst-18570	58	17	vector	vector	NOUN
ajst-18570	58	18	representations	representation	NOUN
ajst-18570	58	19	of	of	ADP
ajst-18570	58	20	styles	style	NOUN
ajst-18570	58	21	.	.	PUNCT
ajst-18570	59	1	in	in	ADP
ajst-18570	59	2	the	the	DET
ajst-18570	59	3	higan	higan	NOUN
ajst-18570	59	4	,	,	PUNCT
ajst-18570	59	5	and	and	CCONJ
ajst-18570	59	6	higan+	higan+	NOUN
ajst-18570	59	7	methods[16,17	methods[16,17	NOUN
ajst-18570	59	8	]	]	PUNCT
ajst-18570	59	9	,	,	PUNCT
ajst-18570	59	10	the	the	DET
ajst-18570	59	11	stylistic	stylistic	ADJ
ajst-18570	59	12	representation	representation	NOUN
ajst-18570	59	13	and	and	CCONJ
ajst-18570	59	14	content	content	NOUN
ajst-18570	59	15	representation	representation	NOUN
ajst-18570	59	16	of	of	ADP
ajst-18570	59	17	text	text	NOUN
ajst-18570	59	18	images	image	NOUN
ajst-18570	59	19	are	be	AUX
ajst-18570	59	20	obtained	obtain	VERB
ajst-18570	59	21	respectively	respectively	ADV
ajst-18570	59	22	,	,	PUNCT
ajst-18570	59	23	and	and	CCONJ
ajst-18570	59	24	then	then	ADV
ajst-18570	59	25	combined	combine	VERB
ajst-18570	59	26	in	in	ADP
ajst-18570	59	27	the	the	DET
ajst-18570	59	28	later	later	ADJ
ajst-18570	59	29	stage	stage	NOUN
ajst-18570	59	30	for	for	ADP
ajst-18570	59	31	generation	generation	NOUN
ajst-18570	59	32	.	.	PUNCT
ajst-18570	60	1	this	this	PRON
ajst-18570	60	2	prevents	prevent	VERB
ajst-18570	60	3	these	these	DET
ajst-18570	60	4	methods	method	NOUN
ajst-18570	60	5	from	from	ADP
ajst-18570	60	6	capturing	capture	VERB
ajst-18570	60	7	native	native	ADJ
ajst-18570	60	8	writing	writing	NOUN
ajst-18570	60	9	styles	style	NOUN
ajst-18570	60	10	effectively	effectively	ADV
ajst-18570	60	11	.	.	PUNCT
ajst-18570	61	1	the	the	DET
ajst-18570	61	2	transformer	transformer	NOUN
ajst-18570	61	3	-	-	PUNCT
ajst-18570	61	4	based	base	VERB
ajst-18570	61	5	approach	approach	NOUN
ajst-18570	61	6	proposed	propose	VERB
ajst-18570	61	7	by	by	ADP
ajst-18570	61	8	the	the	DET
ajst-18570	61	9	hwt	hwt	PROPN
ajst-18570	61	10	approach	approach	NOUN
ajst-18570	61	11	addresses	address	VERB
ajst-18570	61	12	this	this	DET
ajst-18570	61	13	limitation	limitation	NOUN
ajst-18570	61	14	,	,	PUNCT
ajst-18570	61	15	better	well	ADV
ajst-18570	61	16	capturing	capture	VERB
ajst-18570	61	17	contentstyle	contentstyle	NOUN
ajst-18570	61	18	entanglement	entanglement	NOUN
ajst-18570	61	19	by	by	ADP
ajst-18570	61	20	leveraging	leverage	VERB
ajst-18570	61	21	a	a	DET
ajst-18570	61	22	cross	cross	ADJ
ajst-18570	61	23	-	-	ADJ
ajst-18570	61	24	attention	attention	ADJ
ajst-18570	61	25	mechanism	mechanism	NOUN
ajst-18570	61	26	between	between	ADP
ajst-18570	61	27	style	style	NOUN
ajst-18570	61	28	representation	representation	NOUN
ajst-18570	61	29	and	and	CCONJ
ajst-18570	61	30	text	text	NOUN
ajst-18570	61	31	representation	representation	NOUN
ajst-18570	61	32	of	of	ADP
ajst-18570	61	33	content	content	NOUN
ajst-18570	61	34	.	.	PUNCT
ajst-18570	62	1	the	the	DET
ajst-18570	62	2	handwriting	handwriting	NOUN
ajst-18570	62	3	generation	generation	NOUN
ajst-18570	62	4	countermeasure	countermeasure	NOUN
ajst-18570	62	5	network	network	NOUN
ajst-18570	62	6	in	in	ADP
ajst-18570	62	7	this	this	DET
ajst-18570	62	8	paper	paper	NOUN
ajst-18570	62	9	is	be	AUX
ajst-18570	62	10	also	also	ADV
ajst-18570	62	11	mainly	mainly	ADV
ajst-18570	62	12	based	base	VERB
ajst-18570	62	13	on	on	ADP
ajst-18570	62	14	transformer	transformer	NOUN
ajst-18570	62	15	,	,	PUNCT
ajst-18570	62	16	and	and	CCONJ
ajst-18570	62	17	the	the	DET
ajst-18570	62	18	backbone	backbone	NOUN
ajst-18570	62	19	network	network	NOUN
ajst-18570	62	20	and	and	CCONJ
ajst-18570	62	21	decoder	decoder	NOUN
ajst-18570	62	22	network	network	NOUN
ajst-18570	62	23	are	be	AUX
ajst-18570	62	24	redesigned	redesign	VERB
ajst-18570	62	25	,	,	PUNCT
ajst-18570	62	26	aiming	aim	VERB
ajst-18570	62	27	to	to	PART
ajst-18570	62	28	make	make	VERB
ajst-18570	62	29	the	the	DET
ajst-18570	62	30	model	model	NOUN
ajst-18570	62	31	better	well	ADV
ajst-18570	62	32	adapt	adapt	VERB
ajst-18570	62	33	to	to	ADP
ajst-18570	62	34	the	the	DET
ajst-18570	62	35	feature	feature	NOUN
ajst-18570	62	36	extraction	extraction	NOUN
ajst-18570	62	37	and	and	CCONJ
ajst-18570	62	38	fusion	fusion	NOUN
ajst-18570	62	39	of	of	ADP
ajst-18570	62	40	handwritten	handwritten	ADJ
ajst-18570	62	41	text	text	NOUN
ajst-18570	62	42	,	,	PUNCT
ajst-18570	62	43	so	so	SCONJ
ajst-18570	62	44	as	as	SCONJ
ajst-18570	62	45	to	to	PART
ajst-18570	62	46	improve	improve	VERB
ajst-18570	62	47	the	the	DET
ajst-18570	62	48	generation	generation	NOUN
ajst-18570	62	49	quality	quality	NOUN
ajst-18570	62	50	.	.	PUNCT
ajst-18570	63	1	3	3	X
ajst-18570	63	2	.	.	NUM
ajst-18570	63	3	proposed	propose	VERB
ajst-18570	63	4	approach	approach	NOUN
ajst-18570	63	5	this	this	DET
ajst-18570	63	6	paper	paper	NOUN
ajst-18570	63	7	proposes	propose	VERB
ajst-18570	63	8	a	a	DET
ajst-18570	63	9	generative	generative	ADJ
ajst-18570	63	10	adversarial	adversarial	ADJ
ajst-18570	63	11	network	network	NOUN
ajst-18570	63	12	(	(	PUNCT
ajst-18570	63	13	gan	gan	PROPN
ajst-18570	63	14	)	)	PUNCT
ajst-18570	63	15	based	base	VERB
ajst-18570	63	16	on	on	ADP
ajst-18570	63	17	transformer	transformer	NOUN
ajst-18570	63	18	design	design	NOUN
ajst-18570	63	19	,	,	PUNCT
ajst-18570	63	20	enhancing	enhance	VERB
ajst-18570	63	21	the	the	DET
ajst-18570	63	22	backbone	backbone	NOUN
ajst-18570	63	23	network	network	NOUN
ajst-18570	63	24	of	of	ADP
ajst-18570	63	25	the	the	DET
ajst-18570	63	26	generator	generator	NOUN
ajst-18570	63	27	.	.	PUNCT
ajst-18570	64	1	it	it	PRON
ajst-18570	64	2	improves	improve	VERB
ajst-18570	64	3	focus	focus	NOUN
ajst-18570	64	4	on	on	ADP
ajst-18570	64	5	handwritten	handwritten	ADJ
ajst-18570	64	6	text	text	NOUN
ajst-18570	64	7	targets	target	NOUN
ajst-18570	64	8	by	by	ADP
ajst-18570	64	9	employing	employ	VERB
ajst-18570	64	10	a	a	DET
ajst-18570	64	11	lightweight	lightweight	ADJ
ajst-18570	64	12	mobilenetv3	mobilenetv3	NOUN
ajst-18570	64	13	backbone	backbone	NOUN
ajst-18570	64	14	network	network	NOUN
ajst-18570	64	15	and	and	CCONJ
ajst-18570	64	16	introducing	introduce	VERB
ajst-18570	64	17	the	the	DET
ajst-18570	64	18	coordinate	coordinate	ADJ
ajst-18570	64	19	attention	attention	NOUN
ajst-18570	64	20	mechanism	mechanism	NOUN
ajst-18570	64	21	.	.	PUNCT
ajst-18570	65	1	the	the	DET
ajst-18570	65	2	generator	generator	NOUN
ajst-18570	65	3	network	network	NOUN
ajst-18570	65	4	in	in	ADP
ajst-18570	65	5	this	this	DET
ajst-18570	65	6	paper	paper	NOUN
ajst-18570	65	7	follows	follow	VERB
ajst-18570	65	8	an	an	DET
ajst-18570	65	9	encoder	encoder	NOUN
ajst-18570	65	10	-	-	PUNCT
ajst-18570	65	11	decoder	decoder	NOUN
ajst-18570	65	12	architecture	architecture	NOUN
ajst-18570	65	13	.	.	PUNCT
ajst-18570	66	1	after	after	ADP
ajst-18570	66	2	obtaining	obtain	VERB
ajst-18570	66	3	feature	feature	NOUN
ajst-18570	66	4	maps	map	NOUN
ajst-18570	66	5	through	through	ADP
ajst-18570	66	6	a	a	DET
ajst-18570	66	7	convolutional	convolutional	ADJ
ajst-18570	66	8	network	network	NOUN
ajst-18570	66	9	from	from	ADP
ajst-18570	66	10	the	the	DET
ajst-18570	66	11	input	input	NOUN
ajst-18570	66	12	text	text	NOUN
ajst-18570	66	13	images	image	NOUN
ajst-18570	66	14	,	,	PUNCT
ajst-18570	66	15	operations	operation	NOUN
ajst-18570	66	16	such	such	ADJ
ajst-18570	66	17	as	as	ADP
ajst-18570	66	18	flattening	flattening	NOUN
ajst-18570	66	19	,	,	PUNCT
ajst-18570	66	20	reshaping	reshaping	NOUN
ajst-18570	66	21	,	,	PUNCT
ajst-18570	66	22	and	and	CCONJ
ajst-18570	66	23	concatenation	concatenation	NOUN
ajst-18570	66	24	are	be	AUX
ajst-18570	66	25	applied	apply	VERB
ajst-18570	66	26	to	to	ADP
ajst-18570	66	27	the	the	DET
ajst-18570	66	28	feature	feature	NOUN
ajst-18570	66	29	maps	map	NOUN
ajst-18570	66	30	.	.	PUNCT
ajst-18570	67	1	subsequently	subsequently	ADV
ajst-18570	67	2	,	,	PUNCT
ajst-18570	67	3	the	the	DET
ajst-18570	67	4	transformer	transformer	NOUN
ajst-18570	67	5	encoder	encoder	NOUN
ajst-18570	67	6	network	network	NOUN
ajst-18570	67	7	utilizes	utilize	VERB
ajst-18570	67	8	a	a	DET
ajst-18570	67	9	multi	multi	ADJ
ajst-18570	67	10	-	-	ADJ
ajst-18570	67	11	head	head	ADJ
ajst-18570	67	12	selfattention	selfattention	NOUN
ajst-18570	67	13	mechanism	mechanism	NOUN
ajst-18570	67	14	to	to	PART
ajst-18570	67	15	generate	generate	VERB
ajst-18570	67	16	the	the	DET
ajst-18570	67	17	author	author	NOUN
ajst-18570	67	18	's	's	PART
ajst-18570	67	19	self	self	NOUN
ajst-18570	67	20	-	-	PUNCT
ajst-18570	67	21	attention	attention	NOUN
ajst-18570	67	22	style	style	NOUN
ajst-18570	67	23	feature	feature	NOUN
ajst-18570	67	24	sequence	sequence	NOUN
ajst-18570	67	25	.	.	PUNCT
ajst-18570	68	1	this	this	DET
ajst-18570	68	2	feature	feature	NOUN
ajst-18570	68	3	sequence	sequence	NOUN
ajst-18570	68	4	is	be	AUX
ajst-18570	68	5	then	then	ADV
ajst-18570	68	6	input	input	ADJ
ajst-18570	68	7	into	into	ADP
ajst-18570	68	8	the	the	DET
ajst-18570	68	9	decoder	decoder	NOUN
ajst-18570	68	10	network	network	NOUN
ajst-18570	68	11	,	,	PUNCT
ajst-18570	68	12	consisting	consist	VERB
ajst-18570	68	13	of	of	ADP
ajst-18570	68	14	multi	multi	ADJ
ajst-18570	68	15	-	-	ADJ
ajst-18570	68	16	head	head	ADJ
ajst-18570	68	17	selfattention	selfattention	NOUN
ajst-18570	68	18	and	and	CCONJ
ajst-18570	68	19	encoder	encoder	NOUN
ajst-18570	68	20	-	-	PUNCT
ajst-18570	68	21	decoder	decoder	NOUN
ajst-18570	68	22	attention	attention	NOUN
ajst-18570	68	23	,	,	PUNCT
ajst-18570	68	24	to	to	PART
ajst-18570	68	25	generate	generate	VERB
ajst-18570	68	26	character	character	NOUN
ajst-18570	68	27	-	-	PUNCT
ajst-18570	68	28	specific	specific	ADJ
ajst-18570	68	29	style	style	NOUN
ajst-18570	68	30	attributes	attribute	VERB
ajst-18570	68	31	for	for	ADP
ajst-18570	68	32	a	a	DET
ajst-18570	68	33	given	give	VERB
ajst-18570	68	34	set	set	NOUN
ajst-18570	68	35	of	of	ADP
ajst-18570	68	36	query	query	NOUN
ajst-18570	68	37	word	word	NOUN
ajst-18570	68	38	strings	string	NOUN
ajst-18570	68	39	.	.	PUNCT
ajst-18570	69	1	finally	finally	ADV
ajst-18570	69	2	,	,	PUNCT
ajst-18570	69	3	the	the	DET
ajst-18570	69	4	output	output	NOUN
ajst-18570	69	5	from	from	ADP
ajst-18570	69	6	the	the	DET
ajst-18570	69	7	transformer	transformer	NOUN
ajst-18570	69	8	decoder	decoder	NOUN
ajst-18570	69	9	is	be	AUX
ajst-18570	69	10	fed	feed	VERB
ajst-18570	69	11	into	into	ADP
ajst-18570	69	12	a	a	DET
ajst-18570	69	13	fully	fully	ADV
ajst-18570	69	14	convolutional	convolutional	ADJ
ajst-18570	69	15	decoder	decoder	NOUN
ajst-18570	69	16	to	to	PART
ajst-18570	69	17	generate	generate	VERB
ajst-18570	69	18	the	the	DET
ajst-18570	69	19	final	final	ADJ
ajst-18570	69	20	styled	style	VERB
ajst-18570	69	21	handwritten	handwritten	ADJ
ajst-18570	69	22	text	text	NOUN
ajst-18570	69	23	image	image	NOUN
ajst-18570	69	24	.	.	PUNCT
ajst-18570	70	1	3.1	3.1	NUM
ajst-18570	70	2	.	.	PUNCT
ajst-18570	70	3	backbone	backbone	NOUN
ajst-18570	70	4	network	network	NOUN
ajst-18570	70	5	in	in	ADP
ajst-18570	70	6	order	order	NOUN
ajst-18570	70	7	to	to	PART
ajst-18570	70	8	avoid	avoid	VERB
ajst-18570	70	9	the	the	DET
ajst-18570	70	10	video	video	NOUN
ajst-18570	70	11	memory	memory	NOUN
ajst-18570	70	12	consumption	consumption	NOUN
ajst-18570	70	13	and	and	CCONJ
ajst-18570	70	14	excessive	excessive	ADJ
ajst-18570	70	15	computing	computing	NOUN
ajst-18570	70	16	load	load	NOUN
ajst-18570	70	17	of	of	ADP
ajst-18570	70	18	traditional	traditional	ADJ
ajst-18570	70	19	deep	deep	ADJ
ajst-18570	70	20	neural	neural	ADJ
ajst-18570	70	21	networks	network	NOUN
ajst-18570	70	22	,	,	PUNCT
ajst-18570	70	23	we	we	PRON
ajst-18570	70	24	propose	propose	VERB
ajst-18570	70	25	a	a	DET
ajst-18570	70	26	lightweight	lightweight	ADJ
ajst-18570	70	27	convolutional	convolutional	ADJ
ajst-18570	70	28	backbone	backbone	NOUN
ajst-18570	70	29	network	network	NOUN
ajst-18570	70	30	design	design	NOUN
ajst-18570	70	31	that	that	PRON
ajst-18570	70	32	can	can	AUX
ajst-18570	70	33	also	also	ADV
ajst-18570	70	34	take	take	VERB
ajst-18570	70	35	advantage	advantage	NOUN
ajst-18570	70	36	of	of	ADP
ajst-18570	70	37	the	the	DET
ajst-18570	70	38	expression	expression	NOUN
ajst-18570	70	39	capability	capability	NOUN
ajst-18570	70	40	of	of	ADP
ajst-18570	70	41	transformer	transformer	NOUN
ajst-18570	70	42	in	in	ADP
ajst-18570	70	43	cnn	cnn	PROPN
ajst-18570	70	44	feature	feature	NOUN
ajst-18570	70	45	space	space	NOUN
ajst-18570	70	46	.	.	PUNCT
ajst-18570	71	1	this	this	DET
ajst-18570	71	2	design	design	NOUN
ajst-18570	71	3	takes	take	VERB
ajst-18570	71	4	into	into	ADP
ajst-18570	71	5	account	account	NOUN
ajst-18570	71	6	the	the	DET
ajst-18570	71	7	small	small	ADJ
ajst-18570	71	8	sample	sample	NOUN
ajst-18570	71	9	settings	setting	NOUN
ajst-18570	71	10	and	and	CCONJ
ajst-18570	71	11	the	the	DET
ajst-18570	71	12	need	need	NOUN
ajst-18570	71	13	for	for	ADP
ajst-18570	71	14	large	large	ADJ
ajst-18570	71	15	amounts	amount	NOUN
ajst-18570	71	16	of	of	ADP
ajst-18570	71	17	data	datum	NOUN
ajst-18570	71	18	in	in	ADP
ajst-18570	71	19	handwriting	handwriting	NOUN
ajst-18570	71	20	generation	generation	NOUN
ajst-18570	71	21	tasks	task	NOUN
ajst-18570	71	22	,	,	PUNCT
ajst-18570	71	23	avoiding	avoid	VERB
ajst-18570	71	24	the	the	DET
ajst-18570	71	25	infeasibility	infeasibility	NOUN
ajst-18570	71	26	and	and	CCONJ
ajst-18570	71	27	quadratic	quadratic	ADJ
ajst-18570	71	28	complexity	complexity	NOUN
ajst-18570	71	29	of	of	ADP
ajst-18570	71	30	directly	directly	ADV
ajst-18570	71	31	applying	apply	VERB
ajst-18570	71	32	transformer	transformer	NOUN
ajst-18570	71	33	or	or	CCONJ
ajst-18570	71	34	vit	vit	NOUN
ajst-18570	71	35	-	-	PUNCT
ajst-18570	71	36	based	base	VERB
ajst-18570	71	37	designs	design	NOUN
ajst-18570	71	38	.	.	PUNCT
ajst-18570	72	1	mobilenetv3	mobilenetv3	PROPN
ajst-18570	72	2	is	be	AUX
ajst-18570	72	3	a	a	DET
ajst-18570	72	4	deep	deep	ADJ
ajst-18570	72	5	neural	neural	ADJ
ajst-18570	72	6	network	network	NOUN
ajst-18570	72	7	model	model	NOUN
ajst-18570	72	8	introduced	introduce	VERB
ajst-18570	72	9	by	by	ADP
ajst-18570	72	10	google	google	PROPN
ajst-18570	72	11	in	in	ADP
ajst-18570	72	12	2019	2019	NUM
ajst-18570	72	13	,	,	PUNCT
ajst-18570	72	14	and	and	CCONJ
ajst-18570	72	15	mobilenetv3	mobilenetv3	PROPN
ajst-18570	72	16	performs	perform	VERB
ajst-18570	72	17	well	well	ADV
ajst-18570	72	18	in	in	ADP
ajst-18570	72	19	tasks	task	NOUN
ajst-18570	72	20	such	such	ADJ
ajst-18570	72	21	as	as	ADP
ajst-18570	72	22	mobile	mobile	ADJ
ajst-18570	72	23	image	image	NOUN
ajst-18570	72	24	classification	classification	NOUN
ajst-18570	72	25	,	,	PUNCT
ajst-18570	72	26	object	object	NOUN
ajst-18570	72	27	detection	detection	NOUN
ajst-18570	72	28	,	,	PUNCT
ajst-18570	72	29	and	and	CCONJ
ajst-18570	72	30	semantic	semantic	ADJ
ajst-18570	72	31	segmentation	segmentation	NOUN
ajst-18570	72	32	.	.	PUNCT
ajst-18570	73	1	the	the	DET
ajst-18570	73	2	model	model	NOUN
ajst-18570	73	3	uses	use	VERB
ajst-18570	73	4	a	a	DET
ajst-18570	73	5	series	series	NOUN
ajst-18570	73	6	of	of	ADP
ajst-18570	73	7	innovative	innovative	ADJ
ajst-18570	73	8	technologies	technology	NOUN
ajst-18570	73	9	,	,	PUNCT
ajst-18570	73	10	such	such	ADJ
ajst-18570	73	11	as	as	ADP
ajst-18570	73	12	the	the	DET
ajst-18570	73	13	squeest	squeest	NOUN
ajst-18570	73	14	-	-	PUNCT
ajst-18570	73	15	and	and	CCONJ
ajst-18570	73	16	-	-	PUNCT
ajst-18570	73	17	excitation	excitation	NOUN
ajst-18570	73	18	（	（	SYM
ajst-18570	73	19	se	se	X
ajst-18570	73	20	）	）	NOUN
ajst-18570	73	21	module	module	NOUN
ajst-18570	73	22	for	for	ADP
ajst-18570	73	23	the	the	DET
ajst-18570	73	24	channel	channel	NOUN
ajst-18570	73	25	's	's	PART
ajst-18570	73	26	attention	attention	NOUN
ajst-18570	73	27	mechanism	mechanism	NOUN
ajst-18570	73	28	and	and	CCONJ
ajst-18570	73	29	the	the	DET
ajst-18570	73	30	neural	neural	ADJ
ajst-18570	73	31	196	196	NUM
ajst-18570	73	32	architecture	architecture	NOUN
ajst-18570	73	33	search	search	NOUN
ajst-18570	73	34	(	(	PUNCT
ajst-18570	73	35	nas	nas	NOUN
ajst-18570	73	36	)	)	PUNCT
ajst-18570	73	37	approach	approach	NOUN
ajst-18570	73	38	,	,	PUNCT
ajst-18570	73	39	which	which	PRON
ajst-18570	73	40	further	far	ADV
ajst-18570	73	41	improve	improve	VERB
ajst-18570	73	42	the	the	DET
ajst-18570	73	43	performance	performance	NOUN
ajst-18570	73	44	of	of	ADP
ajst-18570	73	45	the	the	DET
ajst-18570	73	46	network.figure	network.figure	PROPN
ajst-18570	73	47	1	1	NUM
ajst-18570	73	48	shows	show	VERB
ajst-18570	73	49	the	the	DET
ajst-18570	73	50	se	se	PROPN
ajst-18570	73	51	network	network	NOUN
ajst-18570	73	52	structure	structure	NOUN
ajst-18570	73	53	figure	figure	NOUN
ajst-18570	73	54	1	1	NUM
ajst-18570	73	55	.	.	PUNCT
ajst-18570	73	56	squeest	squeest	NOUN
ajst-18570	73	57	-	-	PUNCT
ajst-18570	73	58	and	and	CCONJ
ajst-18570	73	59	-	-	PUNCT
ajst-18570	73	60	excitation	excitation	NOUN
ajst-18570	73	61	module	module	NOUN
ajst-18570	73	62	figure	figure	NOUN
ajst-18570	73	63	1	1	NUM
ajst-18570	73	64	shows	show	VERB
ajst-18570	73	65	the	the	DET
ajst-18570	73	66	structure	structure	NOUN
ajst-18570	73	67	of	of	ADP
ajst-18570	73	68	bneck	bneck	NOUN
ajst-18570	73	69	,	,	PUNCT
ajst-18570	73	70	the	the	DET
ajst-18570	73	71	basic	basic	ADJ
ajst-18570	73	72	module	module	NOUN
ajst-18570	73	73	of	of	ADP
ajst-18570	73	74	mobilnetv3	mobilnetv3	PROPN
ajst-18570	73	75	.	.	PUNCT
ajst-18570	74	1	the	the	DET
ajst-18570	74	2	inverted	inverted	ADJ
ajst-18570	74	3	residual	residual	ADJ
ajst-18570	74	4	block	block	NOUN
ajst-18570	74	5	structure	structure	NOUN
ajst-18570	74	6	redesigned	redesign	VERB
ajst-18570	74	7	by	by	ADP
ajst-18570	74	8	mobilenetv3	mobilenetv3	PROPN
ajst-18570	74	9	network	network	PROPN
ajst-18570	74	10	adds	add	VERB
ajst-18570	74	11	se	se	NOUN
ajst-18570	74	12	attention	attention	NOUN
ajst-18570	74	13	mechanism	mechanism	NOUN
ajst-18570	74	14	between	between	ADP
ajst-18570	74	15	deep	deep	ADJ
ajst-18570	74	16	convolution	convolution	NOUN
ajst-18570	74	17	and	and	CCONJ
ajst-18570	74	18	point	point	NOUN
ajst-18570	74	19	convolution	convolution	NOUN
ajst-18570	74	20	on	on	ADP
ajst-18570	74	21	the	the	DET
ajst-18570	74	22	basis	basis	NOUN
ajst-18570	74	23	of	of	ADP
ajst-18570	74	24	mobilenetv2	mobilenetv2	PROPN
ajst-18570	74	25	,	,	PUNCT
ajst-18570	74	26	and	and	CCONJ
ajst-18570	74	27	both	both	PRON
ajst-18570	74	28	use	use	VERB
ajst-18570	74	29	h	h	NOUN
ajst-18570	74	30	-	-	PUNCT
ajst-18570	74	31	swish	swish	ADJ
ajst-18570	74	32	function	function	NOUN
ajst-18570	74	33	as	as	ADP
ajst-18570	74	34	activation	activation	NOUN
ajst-18570	74	35	function	function	NOUN
ajst-18570	74	36	instead	instead	ADV
ajst-18570	74	37	of	of	ADP
ajst-18570	74	38	the	the	DET
ajst-18570	74	39	original	original	ADJ
ajst-18570	74	40	relu	relu	NOUN
ajst-18570	74	41	.	.	PUNCT
ajst-18570	75	1	1×1	1×1	PROPN
ajst-18570	75	2	，	，	PROPN
ajst-18570	75	3	nl	nl	PROPN
ajst-18570	75	4	dwish	dwish	PROPN
ajst-18570	75	5	，	，	PROPN
ajst-18570	75	6	nl	nl	PROPN
ajst-18570	75	7	3×3	3×3	NUM
ajst-18570	75	8	pool	pool	NOUN
ajst-18570	75	9	fc	fc	PROPN
ajst-18570	75	10	,	,	PUNCT
ajst-18570	75	11	relu	relu	PROPN
ajst-18570	75	12	fc	fc	PROPN
ajst-18570	75	13	,	,	PUNCT
ajst-18570	75	14	hard	hard	PROPN
ajst-18570	75	15			PROPN
ajst-18570	75	16	1×1	1×1	PROPN
ajst-18570	75	17			PUNCT
ajst-18570	75	18	mobilenetv3	mobilenetv3	PROPN
ajst-18570	75	19	bneck	bneck	NOUN
ajst-18570	75	20	1	1	NUM
ajst-18570	75	21	figure	figure	NOUN
ajst-18570	75	22	2	2	NUM
ajst-18570	75	23	.	.	PUNCT
ajst-18570	75	24	mobilenetv3	mobilenetv3	PROPN
ajst-18570	75	25	bneck	bneck	NOUN
ajst-18570	75	26	figure	figure	NOUN
ajst-18570	75	27	2	2	NUM
ajst-18570	75	28	shows	show	VERB
ajst-18570	75	29	the	the	DET
ajst-18570	75	30	structure	structure	NOUN
ajst-18570	75	31	of	of	ADP
ajst-18570	75	32	bneck	bneck	NOUN
ajst-18570	75	33	,	,	PUNCT
ajst-18570	75	34	the	the	DET
ajst-18570	75	35	basic	basic	ADJ
ajst-18570	75	36	module	module	NOUN
ajst-18570	75	37	of	of	ADP
ajst-18570	75	38	mobilnetv3	mobilnetv3	PROPN
ajst-18570	75	39	.	.	PUNCT
ajst-18570	76	1	the	the	DET
ajst-18570	76	2	inverted	inverted	ADJ
ajst-18570	76	3	residual	residual	ADJ
ajst-18570	76	4	block	block	NOUN
ajst-18570	76	5	structure	structure	NOUN
ajst-18570	76	6	redesigned	redesign	VERB
ajst-18570	76	7	by	by	ADP
ajst-18570	76	8	mobilenetv3	mobilenetv3	PROPN
ajst-18570	76	9	network	network	PROPN
ajst-18570	76	10	adds	add	VERB
ajst-18570	76	11	se	se	NOUN
ajst-18570	76	12	attention	attention	NOUN
ajst-18570	76	13	mechanism	mechanism	NOUN
ajst-18570	76	14	between	between	ADP
ajst-18570	76	15	deep	deep	ADJ
ajst-18570	76	16	convolution	convolution	NOUN
ajst-18570	76	17	and	and	CCONJ
ajst-18570	76	18	point	point	NOUN
ajst-18570	76	19	convolution	convolution	NOUN
ajst-18570	76	20	on	on	ADP
ajst-18570	76	21	the	the	DET
ajst-18570	76	22	basis	basis	NOUN
ajst-18570	76	23	of	of	ADP
ajst-18570	76	24	mobilenetv2	mobilenetv2	PROPN
ajst-18570	76	25	,	,	PUNCT
ajst-18570	76	26	and	and	CCONJ
ajst-18570	76	27	both	both	PRON
ajst-18570	76	28	use	use	VERB
ajst-18570	76	29	h	h	NOUN
ajst-18570	76	30	-	-	PUNCT
ajst-18570	76	31	swish	swish	ADJ
ajst-18570	76	32	function	function	NOUN
ajst-18570	76	33	as	as	ADP
ajst-18570	76	34	activation	activation	NOUN
ajst-18570	76	35	function	function	NOUN
ajst-18570	76	36	instead	instead	ADV
ajst-18570	76	37	of	of	ADP
ajst-18570	76	38	the	the	DET
ajst-18570	76	39	original	original	ADJ
ajst-18570	76	40	relu	relu	NOUN
ajst-18570	76	41	.	.	PUNCT
ajst-18570	77	1	the	the	DET
ajst-18570	77	2	results	result	NOUN
ajst-18570	77	3	show	show	VERB
ajst-18570	77	4	that	that	SCONJ
ajst-18570	77	5	the	the	DET
ajst-18570	77	6	dimensionality	dimensionality	NOUN
ajst-18570	77	7	reduction	reduction	NOUN
ajst-18570	77	8	operation	operation	NOUN
ajst-18570	77	9	adopted	adopt	VERB
ajst-18570	77	10	by	by	ADP
ajst-18570	77	11	senet	senet	NOUN
ajst-18570	77	12	will	will	AUX
ajst-18570	77	13	have	have	VERB
ajst-18570	77	14	a	a	DET
ajst-18570	77	15	negative	negative	ADJ
ajst-18570	77	16	impact	impact	NOUN
ajst-18570	77	17	on	on	ADP
ajst-18570	77	18	the	the	DET
ajst-18570	77	19	prediction	prediction	NOUN
ajst-18570	77	20	of	of	ADP
ajst-18570	77	21	channel	channel	NOUN
ajst-18570	77	22	attention	attention	NOUN
ajst-18570	77	23	,	,	PUNCT
ajst-18570	77	24	and	and	CCONJ
ajst-18570	77	25	the	the	DET
ajst-18570	77	26	acquisition	acquisition	NOUN
ajst-18570	77	27	of	of	ADP
ajst-18570	77	28	dependency	dependency	NOUN
ajst-18570	77	29	relationships	relationship	NOUN
ajst-18570	77	30	is	be	AUX
ajst-18570	77	31	inefficient	inefficient	ADJ
ajst-18570	77	32	and	and	CCONJ
ajst-18570	77	33	unnecessary	unnecessary	ADJ
ajst-18570	77	34	.	.	PUNCT
ajst-18570	78	1	based	base	VERB
ajst-18570	78	2	on	on	ADP
ajst-18570	78	3	this	this	PRON
ajst-18570	78	4	,	,	PUNCT
ajst-18570	78	5	an	an	DET
ajst-18570	78	6	efficient	efficient	ADJ
ajst-18570	78	7	channel	channel	NOUN
ajst-18570	78	8	attention	attention	NOUN
ajst-18570	78	9	(	(	PUNCT
ajst-18570	78	10	eca	eca	NOUN
ajst-18570	78	11	)	)	PUNCT
ajst-18570	78	12	module	module	NOUN
ajst-18570	78	13	for	for	ADP
ajst-18570	78	14	cnn	cnn	PROPN
ajst-18570	78	15	is	be	AUX
ajst-18570	78	16	proposed	propose	VERB
ajst-18570	78	17	,	,	PUNCT
ajst-18570	78	18	which	which	PRON
ajst-18570	78	19	avoids	avoid	VERB
ajst-18570	78	20	dimension	dimension	NOUN
ajst-18570	78	21	reduction	reduction	NOUN
ajst-18570	78	22	and	and	CCONJ
ajst-18570	78	23	realizes	realize	VERB
ajst-18570	78	24	cross	cross	ADJ
ajst-18570	78	25	-	-	ADJ
ajst-18570	78	26	channel	channel	ADJ
ajst-18570	78	27	interaction	interaction	NOUN
ajst-18570	78	28	effectively	effectively	ADV
ajst-18570	78	29	.	.	PUNCT
ajst-18570	79	1	3.2	3.2	NUM
ajst-18570	79	2	.	.	PUNCT
ajst-18570	79	3	generator	generator	NOUN
ajst-18570	79	4	for	for	ADP
ajst-18570	79	5	the	the	DET
ajst-18570	79	6	construction	construction	NOUN
ajst-18570	79	7	of	of	ADP
ajst-18570	79	8	generator	generator	NOUN
ajst-18570	79	9	network	network	NOUN
ajst-18570	79	10	,	,	PUNCT
ajst-18570	79	11	we	we	PRON
ajst-18570	79	12	first	first	ADV
ajst-18570	79	13	identified	identify	VERB
ajst-18570	79	14	two	two	NUM
ajst-18570	79	15	important	important	ADJ
ajst-18570	79	16	features	feature	NOUN
ajst-18570	79	17	to	to	PART
ajst-18570	79	18	consider	consider	VERB
ajst-18570	79	19	when	when	SCONJ
ajst-18570	79	20	designing	design	VERB
ajst-18570	79	21	a	a	DET
ajst-18570	79	22	method	method	NOUN
ajst-18570	79	23	to	to	PART
ajst-18570	79	24	generate	generate	VERB
ajst-18570	79	25	handwritten	handwritten	ADJ
ajst-18570	79	26	text	text	NOUN
ajst-18570	79	27	of	of	ADP
ajst-18570	79	28	different	different	ADJ
ajst-18570	79	29	lengths	length	NOUN
ajst-18570	79	30	and	and	CCONJ
ajst-18570	79	31	any	any	DET
ajst-18570	79	32	desired	desire	VERB
ajst-18570	79	33	style	style	NOUN
ajst-18570	79	34	in	in	ADP
ajst-18570	79	35	a	a	DET
ajst-18570	79	36	small	small	ADJ
ajst-18570	79	37	sample	sample	NOUN
ajst-18570	79	38	context	context	NOUN
ajst-18570	79	39	,	,	PUNCT
ajst-18570	79	40	without	without	ADP
ajst-18570	79	41	using	use	VERB
ajst-18570	79	42	character	character	NOUN
ajst-18570	79	43	-	-	PUNCT
ajst-18570	79	44	level	level	NOUN
ajst-18570	79	45	annotations	annotation	NOUN
ajst-18570	79	46	,	,	PUNCT
ajst-18570	79	47	which	which	PRON
ajst-18570	79	48	further	far	ADV
ajst-18570	79	49	promoted	promote	VERB
ajst-18570	79	50	our	our	PRON
ajst-18570	79	51	proposed	propose	VERB
ajst-18570	79	52	generator	generator	NOUN
ajst-18570	79	53	network	network	NOUN
ajst-18570	79	54	approach	approach	NOUN
ajst-18570	79	55	based	base	VERB
ajst-18570	79	56	on	on	ADP
ajst-18570	79	57	transformer	transformer	NOUN
ajst-18570	79	58	.	.	PUNCT
ajst-18570	80	1	the	the	DET
ajst-18570	80	2	first	first	ADJ
ajst-18570	80	3	feature	feature	NOUN
ajst-18570	80	4	is	be	AUX
ajst-18570	80	5	style	style	NOUN
ajst-18570	80	6	-	-	PUNCT
ajst-18570	80	7	content	content	NOUN
ajst-18570	80	8	entanglement	entanglement	NOUN
ajst-18570	80	9	,	,	PUNCT
ajst-18570	80	10	and	and	CCONJ
ajst-18570	80	11	the	the	DET
ajst-18570	80	12	second	second	ADJ
ajst-18570	80	13	feature	feature	NOUN
ajst-18570	80	14	is	be	AUX
ajst-18570	80	15	global	global	ADJ
ajst-18570	80	16	and	and	CCONJ
ajst-18570	80	17	local	local	ADJ
ajst-18570	80	18	style	style	NOUN
ajst-18570	80	19	imitation	imitation	NOUN
ajst-18570	80	20	.	.	PUNCT
ajst-18570	81	1	transformer	transformer	NOUN
ajst-18570	81	2	can	can	AUX
ajst-18570	81	3	effectively	effectively	ADV
ajst-18570	81	4	solve	solve	VERB
ajst-18570	81	5	these	these	DET
ajst-18570	81	6	two	two	NUM
ajst-18570	81	7	problems	problem	NOUN
ajst-18570	81	8	by	by	ADP
ajst-18570	81	9	using	use	VERB
ajst-18570	81	10	multi	multi	ADJ
ajst-18570	81	11	-	-	ADJ
ajst-18570	81	12	head	head	ADJ
ajst-18570	81	13	selfattention	selfattention	NOUN
ajst-18570	81	14	mechanism	mechanism	NOUN
ajst-18570	81	15	and	and	CCONJ
ajst-18570	81	16	encoder	encoder	NOUN
ajst-18570	81	17	-	-	PUNCT
ajst-18570	81	18	decoder	decoder	NOUN
ajst-18570	81	19	multi	multi	ADJ
ajst-18570	81	20	-	-	ADJ
ajst-18570	81	21	head	head	ADJ
ajst-18570	81	22	attention	attention	NOUN
ajst-18570	81	23	mechanism	mechanism	NOUN
ajst-18570	81	24	.	.	PUNCT
ajst-18570	82	1	figure	figure	NOUN
ajst-18570	82	2	3	3	NUM
ajst-18570	82	3	shows	show	VERB
ajst-18570	82	4	the	the	DET
ajst-18570	82	5	transformer	transformer	ADJ
ajst-18570	82	6	network	network	NOUN
ajst-18570	82	7	structure	structure	NOUN
ajst-18570	82	8	.	.	PUNCT
ajst-18570	83	1	figure	figure	NOUN
ajst-18570	83	2	2	2	NUM
ajst-18570	83	3	.	.	PUNCT
ajst-18570	83	4	transformer	transformer	NOUN
ajst-18570	83	5	network	network	NOUN
ajst-18570	83	6	architecture	architecture	NOUN
ajst-18570	83	7	diagram	diagram	NOUN
ajst-18570	83	8	transformer	transformer	NOUN
ajst-18570	83	9	outputs	output	NOUN
ajst-18570	83	10	feature	feature	NOUN
ajst-18570	83	11	sequences	sequence	NOUN
ajst-18570	83	12	,	,	PUNCT
ajst-18570	83	13	reshape	reshape	VERB
ajst-18570	83	14	them	they	PRON
ajst-18570	83	15	,	,	PUNCT
ajst-18570	83	16	and	and	CCONJ
ajst-18570	83	17	then	then	ADV
ajst-18570	83	18	generates	generate	VERB
ajst-18570	83	19	a	a	DET
ajst-18570	83	20	complete	complete	ADJ
ajst-18570	83	21	handwritten	handwritten	ADJ
ajst-18570	83	22	text	text	NOUN
ajst-18570	83	23	image	image	NOUN
ajst-18570	83	24	through	through	ADP
ajst-18570	83	25	convolutional	convolutional	ADJ
ajst-18570	83	26	networks	network	NOUN
ajst-18570	83	27	and	and	CCONJ
ajst-18570	83	28	upsampling	upsampling	NOUN
ajst-18570	83	29	.	.	PUNCT
ajst-18570	84	1	4	4	X
ajst-18570	84	2	.	.	X
ajst-18570	84	3	experiments	experiment	VERB
ajst-18570	84	4	the	the	DET
ajst-18570	84	5	experiments	experiment	NOUN
ajst-18570	84	6	were	be	AUX
ajst-18570	84	7	conducted	conduct	VERB
ajst-18570	84	8	on	on	ADP
ajst-18570	84	9	the	the	DET
ajst-18570	84	10	iam	iam	PROPN
ajst-18570	84	11	dataset	dataset	VERB
ajst-18570	84	12	with	with	ADP
ajst-18570	84	13	a	a	DET
ajst-18570	84	14	training	training	NOUN
ajst-18570	84	15	epoch	epoch	NOUN
ajst-18570	84	16	set	set	VERB
ajst-18570	84	17	to	to	ADP
ajst-18570	84	18	4000	4000	NUM
ajst-18570	84	19	and	and	CCONJ
ajst-18570	84	20	a	a	DET
ajst-18570	84	21	batch	batch	NOUN
ajst-18570	84	22	size	size	NOUN
ajst-18570	84	23	of	of	ADP
ajst-18570	84	24	8	8	NUM
ajst-18570	84	25	.	.	PUNCT
ajst-18570	85	1	the	the	DET
ajst-18570	85	2	initial	initial	ADJ
ajst-18570	85	3	learning	learning	NOUN
ajst-18570	85	4	rate	rate	NOUN
ajst-18570	85	5	was	be	AUX
ajst-18570	85	6	set	set	VERB
ajst-18570	85	7	to	to	ADP
ajst-18570	85	8	0.00005	0.00005	NUM
ajst-18570	85	9	,	,	PUNCT
ajst-18570	85	10	and	and	CCONJ
ajst-18570	85	11	both	both	CCONJ
ajst-18570	85	12	the	the	DET
ajst-18570	85	13	generator	generator	NOUN
ajst-18570	85	14	and	and	CCONJ
ajst-18570	85	15	discriminator	discriminator	NOUN
ajst-18570	85	16	utilized	utilize	VERB
ajst-18570	85	17	the	the	DET
ajst-18570	85	18	adam	adam	PROPN
ajst-18570	85	19	optimization	optimization	NOUN
ajst-18570	85	20	method	method	NOUN
ajst-18570	85	21	to	to	PART
ajst-18570	85	22	optimize	optimize	VERB
ajst-18570	85	23	network	network	NOUN
ajst-18570	85	24	parameters	parameter	NOUN
ajst-18570	85	25	.	.	PUNCT
ajst-18570	86	1	in	in	ADP
ajst-18570	86	2	the	the	DET
ajst-18570	86	3	adam	adam	PROPN
ajst-18570	86	4	optimization	optimization	NOUN
ajst-18570	86	5	algorithm	algorithm	NOUN
ajst-18570	86	6	,	,	PUNCT
ajst-18570	86	7	the	the	DET
ajst-18570	86	8	coefficients	coefficient	NOUN
ajst-18570	86	9	for	for	ADP
ajst-18570	86	10	the	the	DET
ajst-18570	86	11	momentum	momentum	NOUN
ajst-18570	86	12	term	term	NOUN
ajst-18570	86	13	(	(	PUNCT
ajst-18570	86	14	beta1	beta1	NOUN
ajst-18570	86	15	)	)	PUNCT
ajst-18570	86	16	and	and	CCONJ
ajst-18570	86	17	rmsprop	rmsprop	NOUN
ajst-18570	86	18	term	term	NOUN
ajst-18570	86	19	(	(	PUNCT
ajst-18570	86	20	beta2	beta2	NOUN
ajst-18570	86	21	)	)	PUNCT
ajst-18570	86	22	were	be	AUX
ajst-18570	86	23	set	set	VERB
ajst-18570	86	24	to	to	ADP
ajst-18570	86	25	0.0	0.0	NUM
ajst-18570	86	26	and	and	CCONJ
ajst-18570	86	27	0.999	0.999	NUM
ajst-18570	86	28	,	,	PUNCT
ajst-18570	86	29	respectively	respectively	ADV
ajst-18570	86	30	.	.	PUNCT
ajst-18570	87	1	the	the	DET
ajst-18570	87	2	weight	weight	NOUN
ajst-18570	87	3	decay	decay	NOUN
ajst-18570	87	4	parameter	parameter	NOUN
ajst-18570	87	5	was	be	AUX
ajst-18570	87	6	set	set	VERB
ajst-18570	87	7	to	to	ADP
ajst-18570	87	8	0	0	NUM
ajst-18570	87	9	.	.	PUNCT
ajst-18570	87	10	table	table	NOUN
ajst-18570	87	11	1	1	NUM
ajst-18570	87	12	.	.	PUNCT
ajst-18570	87	13	comparative	comparative	ADJ
ajst-18570	87	14	experiment	experiment	NOUN
ajst-18570	87	15	of	of	ADP
ajst-18570	87	16	backbone	backbone	NOUN
ajst-18570	87	17	network	network	NOUN
ajst-18570	87	18	backbone	backbone	NOUN
ajst-18570	87	19	fid	fid	NOUN
ajst-18570	87	20	kid	kid	NOUN
ajst-18570	87	21	is	be	AUX
ajst-18570	87	22	vgg16	vgg16	VERB
ajst-18570	87	23	23.72	23.72	NUM
ajst-18570	87	24	9.78	9.78	NUM
ajst-18570	87	25	10	10	NUM
ajst-18570	87	26	-	-	SYM
ajst-18570	87	27	3	3	NUM
ajst-18570	87	28	2.79	2.79	NUM
ajst-18570	87	29	mobilenetv3	mobilenetv3	NOUN
ajst-18570	87	30	22.59	22.59	NUM
ajst-18570	87	31	9.10	9.10	NUM
ajst-18570	87	32	10	10	NUM
ajst-18570	87	33	-	-	SYM
ajst-18570	87	34	3	3	NUM
ajst-18570	87	35	2.56	2.56	NUM
ajst-18570	87	36	mobilenetv3+eca	mobilenetv3+eca	NOUN
ajst-18570	87	37	20.28	20.28	NUM
ajst-18570	87	38	9.07	9.07	NUM
ajst-18570	87	39	10	10	NUM
ajst-18570	87	40	-	-	SYM
ajst-18570	87	41	3	3	NUM
ajst-18570	87	42	2.53	2.53	NUM
ajst-18570	87	43	in	in	ADP
ajst-18570	87	44	the	the	DET
ajst-18570	87	45	iam	iam	PROPN
ajst-18570	87	46	training	training	NOUN
ajst-18570	87	47	of	of	ADP
ajst-18570	87	48	data	datum	NOUN
ajst-18570	87	49	set	set	VERB
ajst-18570	87	50	,	,	PUNCT
ajst-18570	87	51	comparative	comparative	ADJ
ajst-18570	87	52	experiments	experiment	NOUN
ajst-18570	87	53	were	be	AUX
ajst-18570	87	54	conducted	conduct	VERB
ajst-18570	87	55	on	on	ADP
ajst-18570	87	56	models	model	NOUN
ajst-18570	87	57	using	use	VERB
ajst-18570	87	58	different	different	ADJ
ajst-18570	87	59	convolutional	convolutional	ADJ
ajst-18570	87	60	backbone	backbone	NOUN
ajst-18570	87	61	networks	network	NOUN
ajst-18570	87	62	,	,	PUNCT
ajst-18570	87	63	and	and	CCONJ
ajst-18570	87	64	it	it	PRON
ajst-18570	87	65	can	can	AUX
ajst-18570	87	66	be	be	AUX
ajst-18570	87	67	seen	see	VERB
ajst-18570	87	68	that	that	SCONJ
ajst-18570	87	69	the	the	DET
ajst-18570	87	70	fid	fid	NOUN
ajst-18570	87	71	index	index	NOUN
ajst-18570	87	72	is	be	AUX
ajst-18570	87	73	and	and	CCONJ
ajst-18570	87	74	kid	kid	ADJ
ajst-18570	87	75	index	index	NOUN
ajst-18570	87	76	of	of	ADP
ajst-18570	87	77	the	the	DET
ajst-18570	87	78	mobilnetv3+eca	mobilnetv3+eca	NOUN
ajst-18570	87	79	backbone	backbone	NOUN
ajst-18570	87	80	network	network	NOUN
ajst-18570	87	81	were	be	AUX
ajst-18570	87	82	improved	improve	VERB
ajst-18570	87	83	.	.	PUNCT
ajst-18570	88	1	compared	compare	VERB
ajst-18570	88	2	with	with	ADP
ajst-18570	88	3	the	the	DET
ajst-18570	88	4	vgg16	vgg16	NOUN
ajst-18570	88	5	network	network	NOUN
ajst-18570	88	6	,	,	PUNCT
ajst-18570	88	7	the	the	DET
ajst-18570	88	8	fid	fid	NOUN
ajst-18570	88	9	value	value	NOUN
ajst-18570	88	10	reduced	reduce	VERB
ajst-18570	88	11	by	by	ADP
ajst-18570	88	12	3.44	3.44	NUM
ajst-18570	88	13	,	,	PUNCT
ajst-18570	88	14	and	and	CCONJ
ajst-18570	88	15	the	the	DET
ajst-18570	88	16	indexes	index	NOUN
ajst-18570	88	17	of	of	ADP
ajst-18570	88	18	kid	kid	NOUN
ajst-18570	88	19	and	and	CCONJ
ajst-18570	88	20	is	be	AUX
ajst-18570	88	21	are	be	AUX
ajst-18570	88	22	also	also	ADV
ajst-18570	88	23	reduced	reduce	VERB
ajst-18570	88	24	by	by	ADP
ajst-18570	88	25	0.71	0.71	NUM
ajst-18570	88	26	and	and	CCONJ
ajst-18570	88	27	0.26	0.26	NUM
ajst-18570	88	28	.compared	.compare	VERB
ajst-18570	88	29	with	with	ADP
ajst-18570	88	30	mobilnetv3	mobilnetv3	PROPN
ajst-18570	88	31	,	,	PUNCT
ajst-18570	88	32	which	which	PRON
ajst-18570	88	33	has	have	AUX
ajst-18570	88	34	not	not	PART
ajst-18570	88	35	been	be	AUX
ajst-18570	88	36	improved	improve	VERB
ajst-18570	88	37	,	,	PUNCT
ajst-18570	88	38	the	the	DET
ajst-18570	88	39	fid	fid	NOUN
ajst-18570	88	40	index	index	NOUN
ajst-18570	88	41	has	have	AUX
ajst-18570	88	42	also	also	ADV
ajst-18570	88	43	decreased	decrease	VERB
ajst-18570	88	44	to	to	ADP
ajst-18570	88	45	2.31	2.31	NUM
ajst-18570	88	46	,	,	PUNCT
ajst-18570	88	47	and	and	CCONJ
ajst-18570	88	48	the	the	DET
ajst-18570	88	49	kid	kid	NOUN
ajst-18570	88	50	and	and	CCONJ
ajst-18570	88	51	is	be	AUX
ajst-18570	88	52	have	have	AUX
ajst-18570	88	53	also	also	ADV
ajst-18570	88	54	decreased	decrease	VERB
ajst-18570	88	55	slightly	slightly	ADV
ajst-18570	88	56	.	.	PUNCT
ajst-18570	89	1	respectively	respectively	ADV
ajst-18570	89	2	.	.	PUNCT
ajst-18570	90	1	therefore	therefore	ADV
ajst-18570	90	2	,	,	PUNCT
ajst-18570	90	3	it	it	PRON
ajst-18570	90	4	can	can	AUX
ajst-18570	90	5	be	be	AUX
ajst-18570	90	6	shown	show	VERB
ajst-18570	90	7	that	that	SCONJ
ajst-18570	90	8	the	the	DET
ajst-18570	90	9	improved	improve	VERB
ajst-18570	90	10	mobilnetv3+eca	mobilnetv3+eca	NOUN
ajst-18570	90	11	backbone	backbone	NOUN
ajst-18570	90	12	network	network	NOUN
ajst-18570	90	13	is	be	AUX
ajst-18570	90	14	adopted	adopt	VERB
ajst-18570	90	15	in	in	ADP
ajst-18570	90	16	this	this	DET
ajst-18570	90	17	paper	paper	NOUN
ajst-18570	90	18	to	to	PART
ajst-18570	90	19	capture	capture	VERB
ajst-18570	90	20	the	the	DET
ajst-18570	90	21	feature	feature	NOUN
ajst-18570	90	22	information	information	NOUN
ajst-18570	90	23	of	of	ADP
ajst-18570	90	24	images	image	NOUN
ajst-18570	90	25	more	more	ADV
ajst-18570	90	26	effectively	effectively	ADV
ajst-18570	90	27	,	,	PUNCT
ajst-18570	90	28	so	so	SCONJ
ajst-18570	90	29	as	as	SCONJ
ajst-18570	90	30	to	to	PART
ajst-18570	90	31	produce	produce	VERB
ajst-18570	90	32	higher	high	ADJ
ajst-18570	90	33	quality	quality	NOUN
ajst-18570	90	34	generated	generate	VERB
ajst-18570	90	35	images	image	NOUN
ajst-18570	90	36	in	in	ADP
ajst-18570	90	37	the	the	DET
ajst-18570	90	38	task	task	NOUN
ajst-18570	90	39	of	of	ADP
ajst-18570	90	40	generating	generate	VERB
ajst-18570	90	41	adversarial	adversarial	ADJ
ajst-18570	90	42	networks	network	NOUN
ajst-18570	90	43	.	.	PUNCT
ajst-18570	91	1	197	197	NUM
ajst-18570	91	2	5	5	NUM
ajst-18570	91	3	.	.	PUNCT
ajst-18570	91	4	conclusion	conclusion	NOUN
ajst-18570	91	5	in	in	ADP
ajst-18570	91	6	this	this	DET
ajst-18570	91	7	paper	paper	NOUN
ajst-18570	91	8	,	,	PUNCT
ajst-18570	91	9	the	the	DET
ajst-18570	91	10	handwriting	handwriting	NOUN
ajst-18570	91	11	generation	generation	NOUN
ajst-18570	91	12	network	network	NOUN
ajst-18570	91	13	based	base	VERB
ajst-18570	91	14	on	on	ADP
ajst-18570	91	15	transformer	transformer	NOUN
ajst-18570	91	16	mainly	mainly	ADV
ajst-18570	91	17	redesigns	redesign	VERB
ajst-18570	91	18	the	the	DET
ajst-18570	91	19	backbone	backbone	NOUN
ajst-18570	91	20	network	network	NOUN
ajst-18570	91	21	and	and	CCONJ
ajst-18570	91	22	decoder	decoder	NOUN
ajst-18570	91	23	network	network	NOUN
ajst-18570	91	24	,	,	PUNCT
ajst-18570	91	25	aiming	aim	VERB
ajst-18570	91	26	to	to	PART
ajst-18570	91	27	make	make	VERB
ajst-18570	91	28	the	the	DET
ajst-18570	91	29	model	model	NOUN
ajst-18570	91	30	better	well	ADV
ajst-18570	91	31	adapt	adapt	VERB
ajst-18570	91	32	to	to	ADP
ajst-18570	91	33	the	the	DET
ajst-18570	91	34	feature	feature	NOUN
ajst-18570	91	35	extraction	extraction	NOUN
ajst-18570	91	36	and	and	CCONJ
ajst-18570	91	37	fusion	fusion	NOUN
ajst-18570	91	38	of	of	ADP
ajst-18570	91	39	handwritten	handwritten	ADJ
ajst-18570	91	40	text	text	NOUN
ajst-18570	91	41	,	,	PUNCT
ajst-18570	91	42	so	so	SCONJ
ajst-18570	91	43	as	as	SCONJ
ajst-18570	91	44	to	to	PART
ajst-18570	91	45	improve	improve	VERB
ajst-18570	91	46	the	the	DET
ajst-18570	91	47	generation	generation	NOUN
ajst-18570	91	48	quality	quality	NOUN
ajst-18570	91	49	.	.	PUNCT
ajst-18570	92	1	in	in	ADP
ajst-18570	92	2	this	this	DET
ajst-18570	92	3	paper	paper	NOUN
ajst-18570	92	4	,	,	PUNCT
ajst-18570	92	5	a	a	DET
ajst-18570	92	6	lightweight	lightweight	ADJ
ajst-18570	92	7	backbone	backbone	NOUN
ajst-18570	92	8	network	network	NOUN
ajst-18570	92	9	is	be	AUX
ajst-18570	92	10	constructed	construct	VERB
ajst-18570	92	11	,	,	PUNCT
ajst-18570	92	12	which	which	PRON
ajst-18570	92	13	uses	use	VERB
ajst-18570	92	14	the	the	DET
ajst-18570	92	15	lightweight	lightweight	ADJ
ajst-18570	92	16	mobilenetv3	mobilenetv3	PROPN
ajst-18570	92	17	network	network	NOUN
ajst-18570	92	18	to	to	PART
ajst-18570	92	19	achieve	achieve	VERB
ajst-18570	92	20	feature	feature	NOUN
ajst-18570	92	21	extraction	extraction	NOUN
ajst-18570	92	22	of	of	ADP
ajst-18570	92	23	input	input	NOUN
ajst-18570	92	24	images	image	NOUN
ajst-18570	92	25	,	,	PUNCT
ajst-18570	92	26	and	and	CCONJ
ajst-18570	92	27	eca	eca	NOUN
ajst-18570	92	28	module	module	NOUN
ajst-18570	92	29	is	be	AUX
ajst-18570	92	30	introduced	introduce	VERB
ajst-18570	92	31	into	into	ADP
ajst-18570	92	32	it	it	PRON
ajst-18570	92	33	,	,	PUNCT
ajst-18570	92	34	mainly	mainly	ADV
ajst-18570	92	35	to	to	PART
ajst-18570	92	36	make	make	VERB
ajst-18570	92	37	the	the	DET
ajst-18570	92	38	network	network	NOUN
ajst-18570	92	39	pay	pay	VERB
ajst-18570	92	40	more	more	ADJ
ajst-18570	92	41	attention	attention	NOUN
ajst-18570	92	42	to	to	ADP
ajst-18570	92	43	the	the	DET
ajst-18570	92	44	global	global	ADJ
ajst-18570	92	45	and	and	CCONJ
ajst-18570	92	46	local	local	ADJ
ajst-18570	92	47	style	style	NOUN
ajst-18570	92	48	features	feature	NOUN
ajst-18570	92	49	of	of	ADP
ajst-18570	92	50	handwritten	handwritten	ADJ
ajst-18570	92	51	images	image	NOUN
ajst-18570	92	52	.	.	PUNCT
ajst-18570	93	1	in	in	ADP
ajst-18570	93	2	the	the	DET
ajst-18570	93	3	feature	feature	NOUN
ajst-18570	93	4	extraction	extraction	NOUN
ajst-18570	93	5	part	part	NOUN
ajst-18570	93	6	of	of	ADP
ajst-18570	93	7	the	the	DET
ajst-18570	93	8	network	network	NOUN
ajst-18570	93	9	,	,	PUNCT
ajst-18570	93	10	on	on	ADP
ajst-18570	93	11	the	the	DET
ajst-18570	93	12	basis	basis	NOUN
ajst-18570	93	13	of	of	ADP
ajst-18570	93	14	reducing	reduce	VERB
ajst-18570	93	15	the	the	DET
ajst-18570	93	16	number	number	NOUN
ajst-18570	93	17	of	of	ADP
ajst-18570	93	18	parameters	parameter	NOUN
ajst-18570	93	19	,	,	PUNCT
ajst-18570	93	20	calculation	calculation	NOUN
ajst-18570	93	21	amount	amount	NOUN
ajst-18570	93	22	and	and	CCONJ
ajst-18570	93	23	video	video	NOUN
ajst-18570	93	24	memory	memory	NOUN
ajst-18570	93	25	consumption	consumption	NOUN
ajst-18570	93	26	,	,	PUNCT
ajst-18570	93	27	it	it	PRON
ajst-18570	93	28	can	can	AUX
ajst-18570	93	29	also	also	ADV
ajst-18570	93	30	extract	extract	VERB
ajst-18570	93	31	rich	rich	ADJ
ajst-18570	93	32	feature	feature	NOUN
ajst-18570	93	33	information	information	NOUN
ajst-18570	93	34	.	.	PUNCT
ajst-18570	94	1	references	reference	NOUN
ajst-18570	94	2	[	[	X
ajst-18570	94	3	1	1	X
ajst-18570	94	4	]	]	PUNCT
ajst-18570	94	5	ayan	ayan	PROPN
ajst-18570	94	6	kumar	kumar	PROPN
ajst-18570	94	7	bhunia	bhunia	PROPN
ajst-18570	94	8	,	,	PUNCT
ajst-18570	94	9	abhirup	abhirup	NOUN
ajst-18570	94	10	das	das	PROPN
ajst-18570	94	11	,	,	PUNCT
ajst-18570	94	12	ankan	ankan	PROPN
ajst-18570	94	13	kumar	kumar	PROPN
ajst-18570	94	14	bhunia	bhunia	PROPN
ajst-18570	94	15	,	,	PUNCT
ajst-18570	94	16	perla	perla	PROPN
ajst-18570	94	17	sai	sai	PROPN
ajst-18570	94	18	raj	raj	PROPN
ajst-18570	94	19	kishore	kishore	PROPN
ajst-18570	94	20	,	,	PUNCT
ajst-18570	94	21	and	and	CCONJ
ajst-18570	94	22	partha	partha	PROPN
ajst-18570	94	23	pratim	pratim	PROPN
ajst-18570	94	24	roy	roy	PROPN
ajst-18570	94	25	.	.	PROPN
ajst-18570	94	26	handwriting	handwriting	NOUN
ajst-18570	94	27	recognition	recognition	NOUN
ajst-18570	94	28	in	in	ADP
ajst-18570	94	29	low	low	ADJ
ajst-18570	94	30	-	-	PUNCT
ajst-18570	94	31	resource	resource	NOUN
ajst-18570	94	32	scripts	script	NOUN
ajst-18570	94	33	using	use	VERB
ajst-18570	94	34	adversarial	adversarial	ADJ
ajst-18570	94	35	learning	learning	NOUN
ajst-18570	94	36	.	.	PUNCT
ajst-18570	95	1	in	in	ADP
ajst-18570	95	2	cvpr	cvpr	NOUN
ajst-18570	95	3	.	.	PUNCT
ajst-18570	96	1	ieee	ieee	NOUN
ajst-18570	96	2	,	,	PUNCT
ajst-18570	96	3	2019	2019	NUM
ajst-18570	96	4	.	.	PUNCT
ajst-18570	96	5	1	1	NUM
ajst-18570	97	1	[	[	SYM
ajst-18570	97	2	2	2	NUM
ajst-18570	97	3	]	]	PUNCT
ajst-18570	97	4	ayan	ayan	PROPN
ajst-18570	97	5	kumar	kumar	PROPN
ajst-18570	97	6	bhunia	bhunia	PROPN
ajst-18570	97	7	,	,	PUNCT
ajst-18570	97	8	shuvozit	shuvozit	PROPN
ajst-18570	97	9	ghose	ghose	PROPN
ajst-18570	97	10	,	,	PUNCT
ajst-18570	97	11	amandeep	amandeep	PROPN
ajst-18570	97	12	kumar	kumar	PROPN
ajst-18570	97	13	,	,	PUNCT
ajst-18570	97	14	pinaki	pinaki	PROPN
ajst-18570	97	15	nath	nath	PROPN
ajst-18570	97	16	chowdhury	chowdhury	PROPN
ajst-18570	97	17	,	,	PUNCT
ajst-18570	97	18	aneeshan	aneeshan	PROPN
ajst-18570	97	19	sain	sain	PROPN
ajst-18570	97	20	,	,	PUNCT
ajst-18570	97	21	and	and	CCONJ
ajst-18570	97	22	yi	yi	PROPN
ajst-18570	97	23	-	-	PUNCT
ajst-18570	97	24	zhesong	zhesong	PROPN
ajst-18570	97	25	.	.	PUNCT
ajst-18570	98	1	metahtr	metahtr	NOUN
ajst-18570	98	2	:	:	PUNCT
ajst-18570	98	3	towards	towards	ADP
ajst-18570	98	4	writer	writer	NOUN
ajst-18570	98	5	-	-	PUNCT
ajst-18570	98	6	adaptive	adaptive	ADJ
ajst-18570	98	7	handwritten	handwritten	ADJ
ajst-18570	98	8	text	text	NOUN
ajst-18570	98	9	recognition	recognition	NOUN
ajst-18570	98	10	.	.	PUNCT
ajst-18570	99	1	in	in	ADP
ajst-18570	99	2	cvpr	cvpr	NOUN
ajst-18570	99	3	,	,	PUNCT
ajst-18570	99	4	2021	2021	NUM
ajst-18570	99	5	.	.	PUNCT
ajst-18570	99	6	1	1	NUM
ajst-18570	100	1	[	[	SYM
ajst-18570	100	2	3	3	X
ajst-18570	100	3	]	]	X
ajst-18570	100	4	yue	yue	PROPN
ajst-18570	100	5	jiang	jiang	PROPN
ajst-18570	100	6	,	,	PUNCT
ajst-18570	100	7	zhouhui	zhouhui	PROPN
ajst-18570	100	8	lian	lian	PROPN
ajst-18570	100	9	,	,	PUNCT
ajst-18570	100	10	yingmin	yingmin	NOUN
ajst-18570	100	11	tang	tang	PROPN
ajst-18570	100	12	,	,	PUNCT
ajst-18570	100	13	and	and	CCONJ
ajst-18570	100	14	jianguo	jianguo	PROPN
ajst-18570	100	15	xiao	xiao	PROPN
ajst-18570	100	16	.	.	PROPN
ajst-18570	100	17	scfont	scfont	PROPN
ajst-18570	100	18	:	:	PUNCT
ajst-18570	100	19	structure	structure	NOUN
ajst-18570	100	20	-	-	PUNCT
ajst-18570	100	21	guided	guide	VERB
ajst-18570	100	22	chinese	chinese	ADJ
ajst-18570	100	23	font	font	NOUN
ajst-18570	100	24	generation	generation	NOUN
ajst-18570	100	25	via	via	ADP
ajst-18570	100	26	deep	deep	ADJ
ajst-18570	100	27	stacked	stack	VERB
ajst-18570	100	28	networks	network	NOUN
ajst-18570	100	29	.	.	PUNCT
ajst-18570	101	1	in	in	ADP
ajst-18570	101	2	aaai	aaai	PROPN
ajst-18570	101	3	,	,	PUNCT
ajst-18570	101	4	2019	2019	NUM
ajst-18570	101	5	.	.	PUNCT
ajst-18570	101	6	2	2	NUM
ajst-18570	102	1	[	[	SYM
ajst-18570	102	2	4	4	X
ajst-18570	102	3	]	]	PUNCT
ajst-18570	102	4	ankan	ankan	PROPN
ajst-18570	102	5	kumar	kumar	PROPN
ajst-18570	102	6	bhunia	bhunia	PROPN
ajst-18570	102	7	,	,	PUNCT
ajst-18570	102	8	salman	salman	PROPN
ajst-18570	102	9	khan	khan	PROPN
ajst-18570	102	10	,	,	PUNCT
ajst-18570	102	11	hisham	hisham	PROPN
ajst-18570	102	12	cholakkal	cholakkal	PROPN
ajst-18570	102	13	,	,	PUNCT
ajst-18570	102	14	rao	rao	PROPN
ajst-18570	102	15	muhammad	muhammad	PROPN
ajst-18570	102	16	anwer	anwer	PROPN
ajst-18570	102	17	,	,	PUNCT
ajst-18570	102	18	fahad	fahad	PROPN
ajst-18570	102	19	shahbaz	shahbaz	PROPN
ajst-18570	102	20	khan	khan	PROPN
ajst-18570	102	21	,	,	PUNCT
ajst-18570	102	22	and	and	CCONJ
ajst-18570	102	23	mubarak	mubarak	PROPN
ajst-18570	102	24	shah	shah	PROPN
ajst-18570	102	25	.	.	PUNCT
ajst-18570	103	1	handwriting	handwriting	NOUN
ajst-18570	103	2	transformers	transformer	NOUN
ajst-18570	103	3	.	.	PUNCT
ajst-18570	104	1	in	in	ADP
ajst-18570	104	2	iccv	iccv	PROPN
ajst-18570	104	3	,	,	PUNCT
ajst-18570	104	4	2021	2021	NUM
ajst-18570	104	5	.	.	PUNCT
ajst-18570	105	1	1	1	NUM
ajst-18570	105	2	,	,	PUNCT
ajst-18570	105	3	2	2	NUM
ajst-18570	105	4	,	,	PUNCT
ajst-18570	105	5	3	3	NUM
ajst-18570	105	6	,	,	PUNCT
ajst-18570	105	7	4	4	NUM
ajst-18570	105	8	,	,	PUNCT
ajst-18570	105	9	6	6	NUM
ajst-18570	105	10	,	,	PUNCT
ajst-18570	105	11	7	7	NUM
ajst-18570	105	12	,	,	PUNCT
ajst-18570	105	13	8	8	NUM
ajst-18570	105	14	[	[	SYM
ajst-18570	105	15	5	5	NUM
ajst-18570	105	16	]	]	PUNCT
ajst-18570	105	17	emre	emre	PROPN
ajst-18570	105	18	aksan	aksan	PROPN
ajst-18570	105	19	and	and	CCONJ
ajst-18570	105	20	otmar	otmar	PROPN
ajst-18570	105	21	hilliges	hillige	NOUN
ajst-18570	105	22	.	.	PUNCT
ajst-18570	106	1	stcn	stcn	NOUN
ajst-18570	106	2	:	:	PUNCT
ajst-18570	106	3	stochastic	stochastic	ADJ
ajst-18570	106	4	temporal	temporal	ADJ
ajst-18570	106	5	convolutional	convolutional	ADJ
ajst-18570	106	6	networks	network	NOUN
ajst-18570	106	7	.	.	PUNCT
ajst-18570	107	1	in	in	ADP
ajst-18570	107	2	iclr	iclr	NOUN
ajst-18570	107	3	,	,	PUNCT
ajst-18570	107	4	2018	2018	NUM
ajst-18570	107	5	.	.	PUNCT
ajst-18570	108	1	1	1	NUM
ajst-18570	108	2	,	,	PUNCT
ajst-18570	108	3	2	2	NUM
ajst-18570	108	4	[	[	SYM
ajst-18570	108	5	6	6	NUM
ajst-18570	108	6	]	]	X
ajst-18570	108	7	emre	emre	PROPN
ajst-18570	108	8	aksan	aksan	PROPN
ajst-18570	108	9	,	,	PUNCT
ajst-18570	108	10	fabrizio	fabrizio	PROPN
ajst-18570	108	11	pece	pece	PROPN
ajst-18570	108	12	,	,	PUNCT
ajst-18570	108	13	and	and	CCONJ
ajst-18570	108	14	otmar	otmar	NOUN
ajst-18570	108	15	hilliges	hillige	NOUN
ajst-18570	108	16	.	.	PUNCT
ajst-18570	109	1	deepwriting	deepwrite	VERB
ajst-18570	109	2	:	:	PUNCT
ajst-18570	109	3	making	make	VERB
ajst-18570	109	4	digital	digital	ADJ
ajst-18570	109	5	ink	ink	NOUN
ajst-18570	109	6	editable	editable	ADJ
ajst-18570	109	7	via	via	ADP
ajst-18570	109	8	deep	deep	ADJ
ajst-18570	109	9	generative	generative	ADJ
ajst-18570	109	10	modeling	modeling	NOUN
ajst-18570	109	11	.	.	PUNCT
ajst-18570	110	1	in	in	ADP
ajst-18570	110	2	chi	chi	PROPN
ajst-18570	110	3	.	.	PUNCT
ajst-18570	110	4	acm	acm	PROPN
ajst-18570	110	5	,	,	PUNCT
ajst-18570	110	6	2018	2018	NUM
ajst-18570	110	7	.	.	PUNCT
ajst-18570	111	1	1	1	NUM
ajst-18570	111	2	,	,	PUNCT
ajst-18570	111	3	2	2	NUM
ajst-18570	111	4	[	[	X
ajst-18570	111	5	7	7	NUM
ajst-18570	111	6	]	]	X
ajst-18570	111	7	alex	alex	PROPN
ajst-18570	111	8	graves	graves	PROPN
ajst-18570	111	9	.	.	PUNCT
ajst-18570	112	1	generating	generate	VERB
ajst-18570	112	2	sequences	sequence	NOUN
ajst-18570	112	3	with	with	ADP
ajst-18570	112	4	recurrent	recurrent	ADJ
ajst-18570	112	5	neural	neural	ADJ
ajst-18570	112	6	networks	network	NOUN
ajst-18570	112	7	.	.	PUNCT
ajst-18570	113	1	arxiv	arxiv	PROPN
ajst-18570	113	2	preprint	preprint	VERB
ajst-18570	113	3	arxiv:1308.0850	arxiv:1308.0850	PROPN
ajst-18570	113	4	,	,	PUNCT
ajst-18570	113	5	2013	2013	NUM
ajst-18570	113	6	.	.	PUNCT
ajst-18570	114	1	1	1	NUM
ajst-18570	114	2	,	,	PUNCT
ajst-18570	114	3	2	2	NUM
ajst-18570	114	4	[	[	SYM
ajst-18570	114	5	8	8	NUM
ajst-18570	114	6	]	]	X
ajst-18570	114	7	bo	bo	PROPN
ajst-18570	114	8	ji	ji	PROPN
ajst-18570	114	9	and	and	CCONJ
ajst-18570	114	10	tianyi	tianyi	PROPN
ajst-18570	114	11	chen	chen	PROPN
ajst-18570	114	12	.	.	PUNCT
ajst-18570	115	1	generative	generative	ADJ
ajst-18570	115	2	adversarial	adversarial	ADJ
ajst-18570	115	3	network	network	NOUN
ajst-18570	115	4	for	for	ADP
ajst-18570	115	5	handwritten	handwritten	ADJ
ajst-18570	115	6	text	text	NOUN
ajst-18570	115	7	.	.	PUNCT
ajst-18570	116	1	arxiv	arxiv	PROPN
ajst-18570	116	2	preprint	preprint	PROPN
ajst-18570	116	3	arxiv:1907.11845	arxiv:1907.11845	NOUN
ajst-18570	116	4	,	,	PUNCT
ajst-18570	116	5	2019	2019	NUM
ajst-18570	116	6	.	.	PUNCT
ajst-18570	117	1	1	1	NUM
ajst-18570	117	2	,	,	PUNCT
ajst-18570	117	3	2	2	NUM
ajst-18570	117	4	,	,	PUNCT
ajst-18570	117	5	3	3	NUM
ajst-18570	117	6	[	[	X
ajst-18570	117	7	9	9	NUM
ajst-18570	117	8	]	]	PUNCT
ajst-18570	117	9	atsunobu	atsunobu	PROPN
ajst-18570	117	10	kotani	kotani	PROPN
ajst-18570	117	11	,	,	PUNCT
ajst-18570	117	12	stefanie	stefanie	PROPN
ajst-18570	117	13	tellex	tellex	PROPN
ajst-18570	117	14	,	,	PUNCT
ajst-18570	117	15	and	and	CCONJ
ajst-18570	117	16	james	james	PROPN
ajst-18570	117	17	tompkin	tompkin	PROPN
ajst-18570	117	18	.	.	PUNCT
ajst-18570	118	1	generating	generate	VERB
ajst-18570	118	2	handwriting	handwriting	NOUN
ajst-18570	118	3	via	via	ADP
ajst-18570	118	4	decoupled	decouple	VERB
ajst-18570	118	5	style	style	NOUN
ajst-18570	118	6	descriptors	descriptor	NOUN
ajst-18570	118	7	.	.	PUNCT
ajst-18570	119	1	in	in	ADP
ajst-18570	119	2	eccv	eccv	ADJ
ajst-18570	119	3	,	,	PUNCT
ajst-18570	119	4	2020	2020	NUM
ajst-18570	119	5	.	.	PUNCT
ajst-18570	120	1	1	1	NUM
ajst-18570	120	2	,	,	PUNCT
ajst-18570	120	3	2	2	NUM
ajst-18570	120	4	[	[	SYM
ajst-18570	120	5	10	10	NUM
ajst-18570	120	6	]	]	X
ajst-18570	120	7	eloi	eloi	PROPN
ajst-18570	120	8	alonso	alonso	PROPN
ajst-18570	120	9	,	,	PUNCT
ajst-18570	120	10	bastien	bastien	PROPN
ajst-18570	120	11	moysset	moysset	PROPN
ajst-18570	120	12	,	,	PUNCT
ajst-18570	120	13	and	and	CCONJ
ajst-18570	120	14	ronaldo	ronaldo	PROPN
ajst-18570	120	15	messina	messina	PROPN
ajst-18570	120	16	.	.	PROPN
ajst-18570	121	1	adversarial	adversarial	ADJ
ajst-18570	121	2	generation	generation	NOUN
ajst-18570	121	3	of	of	ADP
ajst-18570	121	4	handwritten	handwritten	ADJ
ajst-18570	121	5	text	text	NOUN
ajst-18570	121	6	images	image	NOUN
ajst-18570	121	7	conditioned	condition	VERB
ajst-18570	121	8	on	on	ADP
ajst-18570	121	9	sequences	sequence	NOUN
ajst-18570	121	10	.	.	PUNCT
ajst-18570	122	1	in	in	ADP
ajst-18570	122	2	icdar	icdar	NOUN
ajst-18570	122	3	,	,	PUNCT
ajst-18570	122	4	pages	page	NOUN
ajst-18570	122	5	481–486	481–486	NUM
ajst-18570	122	6	.	.	PUNCT
ajst-18570	122	7	ieee	ieee	PROPN
ajst-18570	122	8	,	,	PUNCT
ajst-18570	122	9	2019	2019	NUM
ajst-18570	122	10	.	.	PUNCT
ajst-18570	123	1	1	1	NUM
ajst-18570	123	2	,	,	PUNCT
ajst-18570	123	3	2	2	NUM
ajst-18570	123	4	,	,	PUNCT
ajst-18570	123	5	3	3	NUM
ajst-18570	123	6	,	,	PUNCT
ajst-18570	123	7	6	6	NUM
ajst-18570	123	8	[	[	SYM
ajst-18570	123	9	11	11	NUM
ajst-18570	123	10	]	]	X
ajst-18570	123	11	brian	brian	PROPN
ajst-18570	123	12	davis	davis	PROPN
ajst-18570	123	13	,	,	PUNCT
ajst-18570	123	14	chris	chris	PROPN
ajst-18570	123	15	tensmeyer	tensmeyer	PROPN
ajst-18570	123	16	,	,	PUNCT
ajst-18570	123	17	brian	brian	PROPN
ajst-18570	123	18	price	price	PROPN
ajst-18570	123	19	,	,	PUNCT
ajst-18570	123	20	curtis	curtis	PROPN
ajst-18570	123	21	wiging	wiging	NOUN
ajst-18570	123	22	-	-	PUNCT
ajst-18570	123	23	ton	ton	NOUN
ajst-18570	123	24	,	,	PUNCT
ajst-18570	123	25	bryan	bryan	PROPN
ajst-18570	123	26	morse	morse	PROPN
ajst-18570	123	27	,	,	PUNCT
ajst-18570	123	28	and	and	CCONJ
ajst-18570	123	29	rajiv	rajiv	PROPN
ajst-18570	123	30	jain	jain	PROPN
ajst-18570	123	31	.	.	PUNCT
ajst-18570	124	1	text	text	NOUN
ajst-18570	124	2	and	and	CCONJ
ajst-18570	124	3	style	style	NOUN
ajst-18570	124	4	conditioned	condition	VERB
ajst-18570	124	5	gan	gan	NOUN
ajst-18570	124	6	for	for	ADP
ajst-18570	124	7	generation	generation	NOUN
ajst-18570	124	8	of	of	ADP
ajst-18570	124	9	offline	offline	ADJ
ajst-18570	124	10	handwriting	handwriting	NOUN
ajst-18570	124	11	lines	line	NOUN
ajst-18570	124	12	.	.	PUNCT
ajst-18570	125	1	bmvc	bmvc	NOUN
ajst-18570	125	2	,	,	PUNCT
ajst-18570	125	3	2020.1	2020.1	NUM
ajst-18570	125	4	,	,	PUNCT
ajst-18570	125	5	2	2	NUM
ajst-18570	125	6	,	,	PUNCT
ajst-18570	125	7	3	3	NUM
ajst-18570	125	8	,	,	PUNCT
ajst-18570	125	9	6	6	NUM
ajst-18570	125	10	,	,	PUNCT
ajst-18570	125	11	7	7	NUM
ajst-18570	125	12	,	,	PUNCT
ajst-18570	125	13	8	8	NUM
ajst-18570	125	14	,	,	PUNCT
ajst-18570	125	15	5	5	NUM
ajst-18570	125	16	,	,	PUNCT
ajst-18570	125	17	9	9	NUM
ajst-18570	125	18	,	,	PUNCT
ajst-18570	125	19	10	10	NUM
ajst-18570	125	20	,	,	PUNCT
ajst-18570	125	21	11	11	NUM
ajst-18570	125	22	,	,	PUNCT
ajst-18570	125	23	12	12	NUM
ajst-18570	125	24	,	,	PUNCT
ajst-18570	125	25	13	13	NUM
ajst-18570	125	26	[	[	SYM
ajst-18570	125	27	12	12	NUM
ajst-18570	125	28	]	]	X
ajst-18570	125	29	lei	lei	PROPN
ajst-18570	125	30	kang	kang	PROPN
ajst-18570	125	31	,	,	PUNCT
ajst-18570	125	32	pau	pau	PROPN
ajst-18570	125	33	riba	riba	PROPN
ajst-18570	125	34	,	,	PUNCT
ajst-18570	125	35	yaxing	yaxe	VERB
ajst-18570	125	36	wang	wang	PROPN
ajst-18570	125	37	,	,	PUNCT
ajst-18570	125	38	marc¸al	marc¸al	PROPN
ajst-18570	125	39	rusi˜nol	rusi˜nol	PROPN
ajst-18570	125	40	,	,	PUNCT
ajst-18570	125	41	alicia	alicia	PROPN
ajst-18570	125	42	fornes	forne	NOUN
ajst-18570	125	43	,	,	PUNCT
ajst-18570	125	44	and	and	CCONJ
ajst-18570	125	45	mauricio	mauricio	PROPN
ajst-18570	125	46	villegas	villegas	PROPN
ajst-18570	125	47	.	.	PUNCT
ajst-18570	126	1	ganwriting	ganwrite	VERB
ajst-18570	126	2	:	:	PUNCT
ajst-18570	126	3	contentconditioned	contentconditioned	ADJ
ajst-18570	126	4	generation	generation	NOUN
ajst-18570	126	5	of	of	ADP
ajst-18570	126	6	styled	style	VERB
ajst-18570	126	7	handwritten	handwritten	ADJ
ajst-18570	126	8	word	word	NOUN
ajst-18570	126	9	images	image	NOUN
ajst-18570	126	10	.	.	PUNCT
ajst-18570	127	1	in	in	ADP
ajst-18570	127	2	eccv	eccv	ADV
ajst-18570	127	3	,	,	PUNCT
ajst-18570	127	4	pages	page	NOUN
ajst-18570	127	5	273–289	273–289	NUM
ajst-18570	127	6	.	.	PUNCT
ajst-18570	128	1	springer	springer	NOUN
ajst-18570	128	2	,	,	PUNCT
ajst-18570	128	3	2020	2020	NUM
ajst-18570	128	4	.	.	PUNCT
ajst-18570	129	1	1	1	NUM
ajst-18570	129	2	,	,	PUNCT
ajst-18570	129	3	2	2	NUM
ajst-18570	129	4	,	,	PUNCT
ajst-18570	129	5	3	3	NUM
ajst-18570	129	6	,	,	PUNCT
ajst-18570	129	7	6	6	NUM
ajst-18570	129	8	,	,	PUNCT
ajst-18570	129	9	7	7	NUM
ajst-18570	129	10	,	,	PUNCT
ajst-18570	129	11	8	8	NUM
ajst-18570	129	12	,	,	PUNCT
ajst-18570	129	13	5	5	NUM
ajst-18570	129	14	,	,	PUNCT
ajst-18570	129	15	9	9	NUM
ajst-18570	129	16	,	,	PUNCT
ajst-18570	129	17	10	10	NUM
ajst-18570	129	18	,	,	PUNCT
ajst-18570	129	19	11	11	NUM
ajst-18570	129	20	,	,	PUNCT
ajst-18570	129	21	12	12	NUM
ajst-18570	129	22	[	[	SYM
ajst-18570	129	23	13	13	NUM
ajst-18570	129	24	]	]	X
ajst-18570	129	25	sharon	sharon	PROPN
ajst-18570	129	26	fogel	fogel	PROPN
ajst-18570	129	27	,	,	PUNCT
ajst-18570	129	28	hadar	hadar	VERB
ajst-18570	129	29	averbuch	averbuch	ADJ
ajst-18570	129	30	-	-	PUNCT
ajst-18570	129	31	elor	elor	NOUN
ajst-18570	129	32	,	,	PUNCT
ajst-18570	129	33	sarel	sarel	PROPN
ajst-18570	129	34	cohen	cohen	PROPN
ajst-18570	129	35	,	,	PUNCT
ajst-18570	129	36	shai	shai	PROPN
ajst-18570	129	37	mazor	mazor	PROPN
ajst-18570	129	38	,	,	PUNCT
ajst-18570	129	39	and	and	CCONJ
ajst-18570	129	40	roee	roee	ADJ
ajst-18570	129	41	litman	litman	NOUN
ajst-18570	129	42	.	.	PUNCT
ajst-18570	130	1	scrabblegan	scrabblegan	PROPN
ajst-18570	130	2	:	:	PUNCT
ajst-18570	130	3	semi	semi	ADJ
ajst-18570	130	4	-	-	ADJ
ajst-18570	130	5	supervised	supervised	ADJ
ajst-18570	130	6	varying	vary	VERB
ajst-18570	130	7	length	length	NOUN
ajst-18570	130	8	handwritten	handwritten	ADJ
ajst-18570	130	9	text	text	NOUN
ajst-18570	130	10	generation	generation	NOUN
ajst-18570	130	11	.	.	PUNCT
ajst-18570	131	1	in	in	ADP
ajst-18570	131	2	cvpr	cvpr	NOUN
ajst-18570	131	3	,	,	PUNCT
ajst-18570	131	4	pages	page	NOUN
ajst-18570	131	5	4324–4333	4324–4333	NUM
ajst-18570	131	6	,	,	PUNCT
ajst-18570	131	7	2020	2020	NUM
ajst-18570	131	8	.	.	PUNCT
ajst-18570	132	1	1	1	NUM
ajst-18570	132	2	,	,	PUNCT
ajst-18570	132	3	2	2	NUM
ajst-18570	132	4	,	,	PUNCT
ajst-18570	132	5	3	3	NUM
ajst-18570	132	6	,	,	PUNCT
ajst-18570	132	7	7	7	NUM
ajst-18570	133	1	[	[	SYM
ajst-18570	133	2	14	14	NUM
ajst-18570	133	3	]	]	X
ajst-18570	133	4	bo	bo	PROPN
ajst-18570	133	5	ji	ji	PROPN
ajst-18570	133	6	and	and	CCONJ
ajst-18570	133	7	tianyi	tianyi	PROPN
ajst-18570	133	8	chen	chen	PROPN
ajst-18570	133	9	.	.	PUNCT
ajst-18570	134	1	generative	generative	ADJ
ajst-18570	134	2	adversarial	adversarial	ADJ
ajst-18570	134	3	network	network	NOUN
ajst-18570	134	4	for	for	ADP
ajst-18570	134	5	handwritten	handwritten	ADJ
ajst-18570	134	6	text	text	NOUN
ajst-18570	134	7	.	.	PUNCT
ajst-18570	135	1	arxiv	arxiv	PROPN
ajst-18570	135	2	preprint	preprint	PROPN
ajst-18570	135	3	arxiv:1907.11845	arxiv:1907.11845	NOUN
ajst-18570	135	4	,	,	PUNCT
ajst-18570	135	5	2019	2019	NUM
ajst-18570	135	6	.	.	PUNCT
ajst-18570	136	1	1	1	NUM
ajst-18570	136	2	,	,	PUNCT
ajst-18570	136	3	2	2	NUM
ajst-18570	136	4	[	[	SYM
ajst-18570	136	5	15	15	NUM
ajst-18570	136	6	]	]	X
ajst-18570	136	7	atsunobu	atsunobu	PROPN
ajst-18570	136	8	kotani	kotani	PROPN
ajst-18570	136	9	,	,	PUNCT
ajst-18570	136	10	stefanie	stefanie	PROPN
ajst-18570	136	11	tellex	tellex	PROPN
ajst-18570	136	12	,	,	PUNCT
ajst-18570	136	13	and	and	CCONJ
ajst-18570	136	14	james	james	PROPN
ajst-18570	136	15	tompkin	tompkin	PROPN
ajst-18570	136	16	.	.	PUNCT
ajst-18570	137	1	generating	generate	VERB
ajst-18570	137	2	handwriting	handwriting	NOUN
ajst-18570	137	3	via	via	ADP
ajst-18570	137	4	decoupled	decouple	VERB
ajst-18570	137	5	style	style	NOUN
ajst-18570	137	6	descriptors	descriptor	NOUN
ajst-18570	137	7	.	.	PUNCT
ajst-18570	138	1	in	in	ADP
ajst-18570	138	2	eccv	eccv	ADJ
ajst-18570	138	3	,	,	PUNCT
ajst-18570	138	4	2020	2020	NUM
ajst-18570	138	5	.	.	PUNCT
ajst-18570	139	1	1	1	NUM
ajst-18570	139	2	,	,	PUNCT
ajst-18570	139	3	2	2	NUM
ajst-18570	139	4	[	[	SYM
ajst-18570	139	5	16	16	NUM
ajst-18570	139	6	]	]	X
ajst-18570	139	7	ji	ji	PROPN
ajst-18570	139	8	gan	gan	PROPN
ajst-18570	139	9	and	and	CCONJ
ajst-18570	139	10	weiqiang	weiqiang	PROPN
ajst-18570	139	11	wang	wang	PROPN
ajst-18570	139	12	.	.	PUNCT
ajst-18570	140	1	higan	higan	PROPN
ajst-18570	140	2	:	:	PUNCT
ajst-18570	140	3	handwriting	handwriting	NOUN
ajst-18570	140	4	imitation	imitation	NOUN
ajst-18570	140	5	conditioned	condition	VERB
ajst-18570	140	6	on	on	ADP
ajst-18570	140	7	arbitrary	arbitrary	ADJ
ajst-18570	140	8	-	-	PUNCT
ajst-18570	140	9	length	length	NOUN
ajst-18570	140	10	texts	text	NOUN
ajst-18570	140	11	and	and	CCONJ
ajst-18570	140	12	disentangled	disentangle	VERB
ajst-18570	140	13	styles	style	NOUN
ajst-18570	140	14	.	.	PUNCT
ajst-18570	141	1	in	in	ADP
ajst-18570	141	2	aaai	aaai	PROPN
ajst-18570	141	3	,	,	PUNCT
ajst-18570	141	4	2021	2021	NUM
ajst-18570	141	5	.	.	PUNCT
ajst-18570	142	1	1	1	NUM
ajst-18570	142	2	,	,	PUNCT
ajst-18570	142	3	2	2	NUM
ajst-18570	142	4	,	,	PUNCT
ajst-18570	142	5	3	3	NUM
ajst-18570	142	6	,	,	PUNCT
ajst-18570	142	7	6	6	NUM
ajst-18570	142	8	,	,	PUNCT
ajst-18570	142	9	7	7	NUM
ajst-18570	142	10	,	,	PUNCT
ajst-18570	142	11	8	8	NUM
ajst-18570	143	1	[	[	SYM
ajst-18570	143	2	17	17	NUM
ajst-18570	143	3	]	]	X
ajst-18570	143	4	ji	ji	PROPN
ajst-18570	143	5	gan	gan	PROPN
ajst-18570	143	6	,	,	PUNCT
ajst-18570	143	7	weiqiang	weiqiang	PROPN
ajst-18570	143	8	wang	wang	PROPN
ajst-18570	143	9	,	,	PUNCT
ajst-18570	143	10	jiaxu	jiaxu	PROPN
ajst-18570	143	11	leng	leng	PROPN
ajst-18570	143	12	,	,	PUNCT
ajst-18570	143	13	and	and	CCONJ
ajst-18570	143	14	xinbo	xinbo	PROPN
ajst-18570	143	15	gao	gao	PROPN
ajst-18570	143	16	.	.	PUNCT
ajst-18570	144	1	higan+	higan+	NOUN
ajst-18570	144	2	:	:	PUNCT
ajst-18570	144	3	handwriting	handwrite	VERB
ajst-18570	144	4	imitation	imitation	NOUN
ajst-18570	144	5	gan	gan	NOUN
ajst-18570	144	6	with	with	ADP
ajst-18570	144	7	disentangled	disentangle	VERB
ajst-18570	144	8	representations	representation	NOUN
ajst-18570	144	9	.	.	PUNCT
ajst-18570	145	1	acm	acm	PROPN
ajst-18570	145	2	trans	trans	PROPN
ajst-18570	145	3	.	.	PUNCT
ajst-18570	146	1	graphics	graphic	NOUN
ajst-18570	146	2	,	,	PUNCT
ajst-18570	146	3	42(1):1–17	42(1):1–17	NUM
ajst-18570	146	4	,	,	PUNCT
ajst-18570	146	5	2022	2022	NUM
ajst-18570	146	6	.	.	PUNCT
ajst-18570	147	1	1	1	NUM
ajst-18570	147	2	,	,	PUNCT
ajst-18570	147	3	2	2	NUM
ajst-18570	147	4	,	,	PUNCT
ajst-18570	147	5	3	3	NUM
ajst-18570	147	6	[	[	SYM
ajst-18570	147	7	18	18	NUM
ajst-18570	147	8	]	]	PUNCT
ajst-18570	147	9	ankan	ankan	PROPN
ajst-18570	147	10	kumar	kumar	PROPN
ajst-18570	147	11	bhunia	bhunia	PROPN
ajst-18570	147	12	,	,	PUNCT
ajst-18570	147	13	salman	salman	PROPN
ajst-18570	147	14	khan	khan	PROPN
ajst-18570	147	15	,	,	PUNCT
ajst-18570	147	16	hisham	hisham	PROPN
ajst-18570	147	17	cholakkal	cholakkal	PROPN
ajst-18570	147	18	,	,	PUNCT
ajst-18570	147	19	rao	rao	PROPN
ajst-18570	147	20	muhammad	muhammad	PROPN
ajst-18570	147	21	anwer	anwer	PROPN
ajst-18570	147	22	,	,	PUNCT
ajst-18570	147	23	fahad	fahad	PROPN
ajst-18570	147	24	shahbaz	shahbaz	PROPN
ajst-18570	147	25	khan	khan	PROPN
ajst-18570	147	26	,	,	PUNCT
ajst-18570	147	27	and	and	CCONJ
ajst-18570	147	28	mubarak	mubarak	PROPN
ajst-18570	147	29	shah	shah	PROPN
ajst-18570	147	30	.	.	PUNCT
ajst-18570	148	1	handwriting	handwriting	NOUN
ajst-18570	148	2	transformers	transformer	NOUN
ajst-18570	148	3	.	.	PUNCT
ajst-18570	149	1	in	in	ADP
ajst-18570	149	2	iccv	iccv	PROPN
ajst-18570	149	3	,	,	PUNCT
ajst-18570	149	4	2021	2021	NUM
ajst-18570	149	5	.	.	PUNCT
ajst-18570	150	1	1	1	NUM
ajst-18570	150	2	,	,	PUNCT
ajst-18570	150	3	2	2	NUM
ajst-18570	150	4	,	,	PUNCT
ajst-18570	150	5	3	3	NUM
ajst-18570	150	6	,	,	PUNCT
ajst-18570	150	7	4,6	4,6	NUM
ajst-18570	150	8	,	,	PUNCT
ajst-18570	150	9	7	7	NUM
ajst-18570	150	10	,	,	PUNCT
ajst-18570	150	11	8	8	NUM