id	sid	tid	token	lemma	pos
iajs-3102	1	1	ihjpas	ihjpas	PROPN
iajs-3102	1	2	.	.	PUNCT
iajs-3102	2	1	36	36	NUM
iajs-3102	2	2	(	(	PUNCT
iajs-3102	2	3	3	3	NUM
iajs-3102	2	4	)	)	PUNCT
iajs-3102	2	5	2023	2023	NUM
iajs-3102	2	6	450	450	NUM
iajs-3102	2	7	this	this	DET
iajs-3102	2	8	work	work	NOUN
iajs-3102	2	9	is	be	AUX
iajs-3102	2	10	licensed	license	VERB
iajs-3102	2	11	under	under	ADP
iajs-3102	2	12	a	a	DET
iajs-3102	2	13	creative	creative	ADJ
iajs-3102	2	14	commons	common	NOUN
iajs-3102	2	15	attribution	attribution	NOUN
iajs-3102	2	16	4.0	4.0	NUM
iajs-3102	2	17	international	international	ADJ
iajs-3102	2	18	license	license	NOUN
iajs-3102	2	19	abstract	abstract	NOUN
iajs-3102	2	20	for	for	ADP
iajs-3102	2	21	many	many	ADJ
iajs-3102	2	22	years	year	NOUN
iajs-3102	2	23	,	,	PUNCT
iajs-3102	2	24	reading	read	VERB
iajs-3102	2	25	rate	rate	NOUN
iajs-3102	2	26	as	as	SCONJ
iajs-3102	2	27	word	word	NOUN
iajs-3102	2	28	correct	correct	ADJ
iajs-3102	2	29	per	per	ADP
iajs-3102	2	30	minute	minute	NOUN
iajs-3102	2	31	(	(	PUNCT
iajs-3102	2	32	wcpm	wcpm	PROPN
iajs-3102	2	33	)	)	PUNCT
iajs-3102	2	34	has	have	AUX
iajs-3102	2	35	been	be	AUX
iajs-3102	2	36	investigated	investigate	VERB
iajs-3102	2	37	by	by	ADP
iajs-3102	2	38	many	many	ADJ
iajs-3102	2	39	researchers	researcher	NOUN
iajs-3102	2	40	as	as	ADP
iajs-3102	2	41	an	an	DET
iajs-3102	2	42	indicator	indicator	NOUN
iajs-3102	2	43	of	of	ADP
iajs-3102	2	44	learners	learner	NOUN
iajs-3102	2	45	’	'	PUNCT
iajs-3102	2	46	level	level	NOUN
iajs-3102	2	47	of	of	ADP
iajs-3102	2	48	oral	oral	ADJ
iajs-3102	2	49	reading	reading	NOUN
iajs-3102	2	50	speed	speed	NOUN
iajs-3102	2	51	,	,	PUNCT
iajs-3102	2	52	accuracy	accuracy	NOUN
iajs-3102	2	53	,	,	PUNCT
iajs-3102	2	54	and	and	CCONJ
iajs-3102	2	55	comprehension	comprehension	NOUN
iajs-3102	2	56	.	.	PUNCT
iajs-3102	3	1	the	the	DET
iajs-3102	3	2	aim	aim	NOUN
iajs-3102	3	3	of	of	ADP
iajs-3102	3	4	the	the	DET
iajs-3102	3	5	study	study	NOUN
iajs-3102	3	6	is	be	AUX
iajs-3102	3	7	to	to	PART
iajs-3102	3	8	predict	predict	VERB
iajs-3102	3	9	the	the	DET
iajs-3102	3	10	levels	level	NOUN
iajs-3102	3	11	of	of	ADP
iajs-3102	3	12	wcpm	wcpm	PROPN
iajs-3102	3	13	using	use	VERB
iajs-3102	3	14	three	three	NUM
iajs-3102	3	15	machine	machine	NOUN
iajs-3102	3	16	learning	learn	VERB
iajs-3102	3	17	algorithms	algorithm	NOUN
iajs-3102	3	18	:	:	PUNCT
iajs-3102	3	19	which	which	PRON
iajs-3102	3	20	are	be	AUX
iajs-3102	3	21	ensemble	ensemble	ADJ
iajs-3102	3	22	classifier	classifier	NOUN
iajs-3102	3	23	(	(	PUNCT
iajs-3102	3	24	ec	ec	PROPN
iajs-3102	3	25	)	)	PUNCT
iajs-3102	3	26	,	,	PUNCT
iajs-3102	3	27	decision	decision	NOUN
iajs-3102	3	28	tree	tree	NOUN
iajs-3102	3	29	(	(	PUNCT
iajs-3102	3	30	dt	dt	NOUN
iajs-3102	3	31	)	)	PUNCT
iajs-3102	3	32	,	,	PUNCT
iajs-3102	3	33	and	and	CCONJ
iajs-3102	3	34	knearest	knearest	NOUN
iajs-3102	3	35	neighbor	neighbor	NOUN
iajs-3102	3	36	(	(	PUNCT
iajs-3102	3	37	knn	knn	PROPN
iajs-3102	3	38	)	)	PUNCT
iajs-3102	3	39	.	.	PUNCT
iajs-3102	4	1	the	the	DET
iajs-3102	4	2	data	datum	NOUN
iajs-3102	4	3	for	for	ADP
iajs-3102	4	4	this	this	DET
iajs-3102	4	5	study	study	NOUN
iajs-3102	4	6	were	be	AUX
iajs-3102	4	7	collected	collect	VERB
iajs-3102	4	8	from	from	ADP
iajs-3102	4	9	100	100	NUM
iajs-3102	4	10	kurdish	kurdish	X
iajs-3102	4	11	efl	efl	PROPN
iajs-3102	4	12	students	student	NOUN
iajs-3102	4	13	in	in	ADP
iajs-3102	4	14	the	the	DET
iajs-3102	4	15	2nd	2nd	ADJ
iajs-3102	4	16	-	-	PUNCT
iajs-3102	4	17	year	year	NOUN
iajs-3102	4	18	english	english	PROPN
iajs-3102	4	19	language	language	PROPN
iajs-3102	4	20	department	department	NOUN
iajs-3102	4	21	,	,	PUNCT
iajs-3102	4	22	at	at	ADP
iajs-3102	4	23	the	the	DET
iajs-3102	4	24	university	university	NOUN
iajs-3102	4	25	of	of	ADP
iajs-3102	4	26	duhok	duhok	NOUN
iajs-3102	4	27	in	in	ADP
iajs-3102	4	28	2021	2021	NUM
iajs-3102	4	29	.	.	PUNCT
iajs-3102	5	1	the	the	DET
iajs-3102	5	2	outcomes	outcome	NOUN
iajs-3102	5	3	showed	show	VERB
iajs-3102	5	4	that	that	SCONJ
iajs-3102	5	5	the	the	DET
iajs-3102	5	6	ensemble	ensemble	ADJ
iajs-3102	5	7	classifier	classifier	NOUN
iajs-3102	5	8	(	(	PUNCT
iajs-3102	5	9	ec	ec	PROPN
iajs-3102	5	10	)	)	PUNCT
iajs-3102	5	11	obtained	obtain	VERB
iajs-3102	5	12	the	the	DET
iajs-3102	5	13	highest	high	ADJ
iajs-3102	5	14	accuracy	accuracy	NOUN
iajs-3102	5	15	of	of	ADP
iajs-3102	5	16	testing	testing	NOUN
iajs-3102	5	17	results	result	NOUN
iajs-3102	5	18	,	,	PUNCT
iajs-3102	5	19	with	with	ADP
iajs-3102	5	20	a	a	DET
iajs-3102	5	21	value	value	NOUN
iajs-3102	5	22	of	of	ADP
iajs-3102	5	23	94	94	NUM
iajs-3102	5	24	%	%	NOUN
iajs-3102	5	25	.	.	PUNCT
iajs-3102	6	1	also	also	ADV
iajs-3102	6	2	,	,	PUNCT
iajs-3102	6	3	ec	ec	PROPN
iajs-3102	6	4	recorded	record	VERB
iajs-3102	6	5	the	the	DET
iajs-3102	6	6	highest	high	ADJ
iajs-3102	6	7	precision	precision	NOUN
iajs-3102	6	8	,	,	PUNCT
iajs-3102	6	9	recall	recall	NOUN
iajs-3102	6	10	,	,	PUNCT
iajs-3102	6	11	and	and	CCONJ
iajs-3102	6	12	f1	f1	NOUN
iajs-3102	6	13	scores	score	NOUN
iajs-3102	6	14	with	with	ADP
iajs-3102	6	15	values	value	NOUN
iajs-3102	6	16	of	of	ADP
iajs-3102	6	17	0.92	0.92	NUM
iajs-3102	6	18	for	for	ADP
iajs-3102	6	19	the	the	DET
iajs-3102	6	20	three	three	NUM
iajs-3102	6	21	performance	performance	NOUN
iajs-3102	6	22	measures	measure	NOUN
iajs-3102	6	23	.	.	PUNCT
iajs-3102	7	1	the	the	DET
iajs-3102	7	2	receiver	receiver	ADJ
iajs-3102	7	3	operating	operate	VERB
iajs-3102	7	4	character	character	NOUN
iajs-3102	7	5	curve	curve	NOUN
iajs-3102	7	6	(	(	PUNCT
iajs-3102	7	7	roc	roc	PROPN
iajs-3102	7	8	curve	curve	NOUN
iajs-3102	7	9	)	)	PUNCT
iajs-3102	7	10	also	also	ADV
iajs-3102	7	11	got	get	VERB
iajs-3102	7	12	the	the	DET
iajs-3102	7	13	highest	high	ADJ
iajs-3102	7	14	results	result	NOUN
iajs-3102	7	15	compared	compare	VERB
iajs-3102	7	16	to	to	ADP
iajs-3102	7	17	other	other	ADJ
iajs-3102	7	18	classification	classification	NOUN
iajs-3102	7	19	algorithms	algorithm	NOUN
iajs-3102	7	20	.	.	PUNCT
iajs-3102	8	1	accordingly	accordingly	ADV
iajs-3102	8	2	,	,	PUNCT
iajs-3102	8	3	it	it	PRON
iajs-3102	8	4	can	can	AUX
iajs-3102	8	5	be	be	AUX
iajs-3102	8	6	concluded	conclude	VERB
iajs-3102	8	7	that	that	SCONJ
iajs-3102	8	8	the	the	DET
iajs-3102	8	9	ensemble	ensemble	ADJ
iajs-3102	8	10	classifier	classifier	NOUN
iajs-3102	8	11	is	be	AUX
iajs-3102	8	12	the	the	DET
iajs-3102	8	13	best	good	ADJ
iajs-3102	8	14	and	and	CCONJ
iajs-3102	8	15	most	most	ADV
iajs-3102	8	16	accurate	accurate	ADJ
iajs-3102	8	17	model	model	NOUN
iajs-3102	8	18	for	for	ADP
iajs-3102	8	19	predicting	predict	VERB
iajs-3102	8	20	the	the	DET
iajs-3102	8	21	reading	reading	NOUN
iajs-3102	8	22	rate	rate	NOUN
iajs-3102	8	23	(	(	PUNCT
iajs-3102	8	24	accuracy	accuracy	NOUN
iajs-3102	8	25	)	)	PUNCT
iajs-3102	8	26	of	of	ADP
iajs-3102	8	27	wcpm	wcpm	PROPN
iajs-3102	8	28	.	.	PUNCT
iajs-3102	9	1	keywords	keyword	NOUN
iajs-3102	9	2	:	:	PUNCT
iajs-3102	9	3	word	word	NOUN
iajs-3102	9	4	correct	correct	ADJ
iajs-3102	9	5	per	per	ADP
iajs-3102	9	6	minute	minute	NOUN
iajs-3102	9	7	,	,	PUNCT
iajs-3102	9	8	prediction	prediction	NOUN
iajs-3102	9	9	,	,	PUNCT
iajs-3102	9	10	machine	machine	NOUN
iajs-3102	9	11	learning	learning	NOUN
iajs-3102	9	12	,	,	PUNCT
iajs-3102	9	13	reading	read	VERB
iajs-3102	9	14	rate	rate	NOUN
iajs-3102	9	15	,	,	PUNCT
iajs-3102	9	16	accuracy	accuracy	NOUN
iajs-3102	9	17	1	1	NUM
iajs-3102	9	18	.	.	PUNCT
iajs-3102	10	1	introduction	introduction	NOUN
iajs-3102	10	2	assessing	assess	VERB
iajs-3102	10	3	efl	efl	PROPN
iajs-3102	10	4	and	and	CCONJ
iajs-3102	10	5	esl	esl	PROPN
iajs-3102	10	6	learners	learner	NOUN
iajs-3102	10	7	’	'	PUNCT
iajs-3102	10	8	oral	oral	ADJ
iajs-3102	10	9	reading	reading	NOUN
iajs-3102	10	10	fluency	fluency	NOUN
iajs-3102	10	11	(	(	PUNCT
iajs-3102	10	12	orf	orf	PROPN
iajs-3102	10	13	)	)	PUNCT
iajs-3102	10	14	is	be	AUX
iajs-3102	10	15	a	a	DET
iajs-3102	10	16	necessity	necessity	NOUN
iajs-3102	10	17	that	that	SCONJ
iajs-3102	10	18	researchers	researcher	NOUN
iajs-3102	10	19	should	should	AUX
iajs-3102	10	20	attempt	attempt	VERB
iajs-3102	10	21	to	to	PART
iajs-3102	10	22	investigate	investigate	VERB
iajs-3102	10	23	more	more	ADJ
iajs-3102	10	24	as	as	SCONJ
iajs-3102	10	25	the	the	DET
iajs-3102	10	26	number	number	NOUN
iajs-3102	10	27	of	of	ADP
iajs-3102	10	28	such	such	ADJ
iajs-3102	10	29	studies	study	NOUN
iajs-3102	10	30	is	be	AUX
iajs-3102	10	31	still	still	ADV
iajs-3102	10	32	insufficient	insufficient	ADJ
iajs-3102	10	33	[	[	X
iajs-3102	10	34	1,2	1,2	NUM
iajs-3102	10	35	]	]	PUNCT
iajs-3102	10	36	.	.	PUNCT
iajs-3102	11	1	according	accord	VERB
iajs-3102	11	2	to	to	ADP
iajs-3102	11	3	grabe	grabe	PROPN
iajs-3102	11	4	[	[	X
iajs-3102	11	5	1	1	NUM
iajs-3102	11	6	]	]	PUNCT
iajs-3102	11	7	,	,	PUNCT
iajs-3102	11	8	orf	orf	PROPN
iajs-3102	11	9	is	be	AUX
iajs-3102	11	10	“	"	PUNCT
iajs-3102	11	11	the	the	DET
iajs-3102	11	12	ability	ability	NOUN
iajs-3102	11	13	to	to	PART
iajs-3102	11	14	read	read	VERB
iajs-3102	11	15	rapidly	rapidly	ADV
iajs-3102	11	16	with	with	ADP
iajs-3102	11	17	ease	ease	NOUN
iajs-3102	11	18	and	and	CCONJ
iajs-3102	11	19	accuracy	accuracy	NOUN
iajs-3102	11	20	,	,	PUNCT
iajs-3102	11	21	and	and	CCONJ
iajs-3102	11	22	to	to	PART
iajs-3102	11	23	read	read	VERB
iajs-3102	11	24	with	with	ADP
iajs-3102	11	25	appropriate	appropriate	ADJ
iajs-3102	11	26	expression	expression	NOUN
iajs-3102	11	27	and	and	CCONJ
iajs-3102	11	28	phrasing	phrasing	NOUN
iajs-3102	11	29	”	"	PUNCT
iajs-3102	11	30	(	(	PUNCT
iajs-3102	11	31	p.72	p.72	NOUN
iajs-3102	11	32	)	)	PUNCT
iajs-3102	11	33	.	.	PUNCT
iajs-3102	12	1	based	base	VERB
iajs-3102	12	2	on	on	ADP
iajs-3102	12	3	the	the	DET
iajs-3102	12	4	given	give	VERB
iajs-3102	12	5	definition	definition	NOUN
iajs-3102	12	6	,	,	PUNCT
iajs-3102	12	7	it	it	PRON
iajs-3102	12	8	is	be	AUX
iajs-3102	12	9	evident	evident	ADJ
iajs-3102	12	10	that	that	SCONJ
iajs-3102	12	11	rate	rate	NOUN
iajs-3102	12	12	and	and	CCONJ
iajs-3102	12	13	accuracy	accuracy	NOUN
iajs-3102	12	14	are	be	AUX
iajs-3102	12	15	significant	significant	ADJ
iajs-3102	12	16	dimensions	dimension	NOUN
iajs-3102	12	17	of	of	ADP
iajs-3102	12	18	orf	orf	PROPN
iajs-3102	12	19	assessment	assessment	NOUN
iajs-3102	12	20	.	.	PUNCT
iajs-3102	13	1	reading	read	VERB
iajs-3102	13	2	rate	rate	NOUN
iajs-3102	13	3	(	(	PUNCT
iajs-3102	13	4	wcpm	wcpm	PROPN
iajs-3102	13	5	)	)	PUNCT
iajs-3102	13	6	is	be	AUX
iajs-3102	13	7	the	the	DET
iajs-3102	13	8	number	number	NOUN
iajs-3102	13	9	of	of	ADP
iajs-3102	13	10	words	word	NOUN
iajs-3102	13	11	a	a	DET
iajs-3102	13	12	reader	reader	NOUN
iajs-3102	13	13	maintains	maintain	VERB
iajs-3102	13	14	to	to	PART
iajs-3102	13	15	read	read	VERB
iajs-3102	13	16	correctly	correctly	ADV
iajs-3102	13	17	in	in	ADP
iajs-3102	13	18	a	a	DET
iajs-3102	13	19	minute	minute	NOUN
iajs-3102	13	20	[	[	X
iajs-3102	13	21	3	3	NUM
iajs-3102	13	22	]	]	PUNCT
iajs-3102	13	23	.	.	PUNCT
iajs-3102	14	1	researchers	researcher	NOUN
iajs-3102	14	2	have	have	AUX
iajs-3102	14	3	used	use	VERB
iajs-3102	14	4	many	many	ADJ
iajs-3102	14	5	scales	scale	NOUN
iajs-3102	14	6	and	and	CCONJ
iajs-3102	14	7	models	model	NOUN
iajs-3102	14	8	to	to	PART
iajs-3102	14	9	evaluate	evaluate	VERB
iajs-3102	14	10	learners	learner	NOUN
iajs-3102	14	11	’	'	PUNCT
iajs-3102	14	12	orf	orf	PROPN
iajs-3102	14	13	.	.	PROPN
iajs-3102	15	1	two	two	NUM
iajs-3102	15	2	scales	scale	NOUN
iajs-3102	15	3	of	of	ADP
iajs-3102	15	4	orf	orf	PROPN
iajs-3102	15	5	are	be	AUX
iajs-3102	15	6	quite	quite	ADV
iajs-3102	15	7	well	well	ADV
iajs-3102	15	8	-	-	PUNCT
iajs-3102	15	9	known	know	VERB
iajs-3102	15	10	worldwide	worldwide	ADV
iajs-3102	15	11	as	as	SCONJ
iajs-3102	15	12	they	they	PRON
iajs-3102	15	13	include	include	VERB
iajs-3102	15	14	measuring	measure	VERB
iajs-3102	15	15	rate	rate	NOUN
iajs-3102	15	16	and	and	CCONJ
iajs-3102	15	17	accuracy	accuracy	NOUN
iajs-3102	15	18	:	:	PUNCT
iajs-3102	15	19	the	the	DET
iajs-3102	15	20	national	national	ADJ
iajs-3102	15	21	assessment	assessment	NOUN
iajs-3102	15	22	of	of	ADP
iajs-3102	15	23	educational	educational	ADJ
iajs-3102	15	24	progress	progress	NOUN
iajs-3102	15	25	(	(	PUNCT
iajs-3102	15	26	naep	naep	ADJ
iajs-3102	15	27	)	)	PUNCT
iajs-3102	15	28	and	and	CCONJ
iajs-3102	15	29	the	the	DET
iajs-3102	15	30	comprehensive	comprehensive	ADJ
iajs-3102	15	31	oral	oral	ADJ
iajs-3102	15	32	reading	read	VERB
iajs-3102	15	33	fluency	fluency	NOUN
iajs-3102	15	34	scale	scale	NOUN
iajs-3102	15	35	(	(	PUNCT
iajs-3102	15	36	corfs	corfs	PROPN
iajs-3102	15	37	)	)	PUNCT
iajs-3102	16	1	[	[	X
iajs-3102	16	2	4	4	NUM
iajs-3102	16	3	]	]	PUNCT
iajs-3102	16	4	.	.	PUNCT
iajs-3102	17	1	doi.org/10.30526/36.3.3102	doi.org/10.30526/36.3.3102	PROPN
iajs-3102	17	2	article	article	NOUN
iajs-3102	17	3	history	history	NOUN
iajs-3102	17	4	:	:	PUNCT
iajs-3102	17	5	received	receive	VERB
iajs-3102	17	6	8	8	NUM
iajs-3102	17	7	november	november	PROPN
iajs-3102	17	8	2022	2022	NUM
iajs-3102	17	9	,	,	PUNCT
iajs-3102	17	10	accepted	accept	VERB
iajs-3102	17	11	27	27	NUM
iajs-3102	17	12	december	december	PROPN
iajs-3102	17	13	2022	2022	NUM
iajs-3102	17	14	,	,	PUNCT
iajs-3102	17	15	published	publish	VERB
iajs-3102	17	16	in	in	ADP
iajs-3102	17	17	july	july	PROPN
iajs-3102	17	18	2023	2023	NUM
iajs-3102	17	19	.	.	PUNCT
iajs-3102	18	1	ibn	ibn	PROPN
iajs-3102	18	2	al	al	PROPN
iajs-3102	18	3	-	-	PUNCT
iajs-3102	18	4	haitham	haitham	PROPN
iajs-3102	18	5	journal	journal	PROPN
iajs-3102	18	6	for	for	ADP
iajs-3102	18	7	pure	pure	ADJ
iajs-3102	18	8	and	and	CCONJ
iajs-3102	18	9	applied	applied	ADJ
iajs-3102	18	10	sciences	sciences	PROPN
iajs-3102	18	11	journal	journal	PROPN
iajs-3102	18	12	homepage	homepage	NOUN
iajs-3102	18	13	:	:	PUNCT
iajs-3102	18	14	jih.uobaghdad.edu.iq	jih.uobaghdad.edu.iq	NOUN
iajs-3102	18	15	applying	apply	VERB
iajs-3102	18	16	ensemble	ensemble	ADJ
iajs-3102	18	17	classifier	classifier	NOUN
iajs-3102	18	18	,	,	PUNCT
iajs-3102	18	19	k	k	X
iajs-3102	18	20	-	-	PUNCT
iajs-3102	18	21	nearest	near	ADJ
iajs-3102	18	22	neighbor	neighbor	NOUN
iajs-3102	18	23	and	and	CCONJ
iajs-3102	18	24	decision	decision	NOUN
iajs-3102	18	25	tree	tree	NOUN
iajs-3102	18	26	for	for	ADP
iajs-3102	18	27	predicting	predict	VERB
iajs-3102	18	28	oral	oral	ADJ
iajs-3102	18	29	reading	reading	NOUN
iajs-3102	18	30	rate	rate	NOUN
iajs-3102	18	31	levels	level	NOUN
iajs-3102	18	32	jwan	jwan	PROPN
iajs-3102	18	33	abdulkhaliq	abdulkhaliq	PROPN
iajs-3102	18	34	mohammed	mohammed	PROPN
iajs-3102	18	35	department	department	PROPN
iajs-3102	18	36	of	of	ADP
iajs-3102	18	37	computer	computer	NOUN
iajs-3102	18	38	science	science	NOUN
iajs-3102	18	39	,	,	PUNCT
iajs-3102	18	40	college	college	NOUN
iajs-3102	18	41	of	of	ADP
iajs-3102	18	42	science	science	PROPN
iajs-3102	18	43	university	university	PROPN
iajs-3102	18	44	of	of	ADP
iajs-3102	18	45	duhok	duhok	PROPN
iajs-3102	18	46	,	,	PUNCT
iajs-3102	18	47	iraq	iraq	PROPN
iajs-3102	18	48	.	.	PUNCT
iajs-3102	19	1	jowan.abdulkhaliq@uod.ac	jowan.abdulkhaliq@uod.ac	PROPN
iajs-3102	19	2	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
iajs-3102	19	3	mailto:%20jowan.abdulkhaliq@uod.ac	mailto:%20jowan.abdulkhaliq@uod.ac	NOUN
iajs-3102	19	4	mailto:jowan.abdulkhaliq@uod.ac	mailto:jowan.abdulkhaliq@uod.ac	NOUN
iajs-3102	19	5	ihjpas	ihjpa	VERB
iajs-3102	19	6	.	.	PUNCT
iajs-3102	20	1	36(1)2023	36(1)2023	NUM
iajs-3102	20	2	451	451	NUM
iajs-3102	20	3	reading	reading	NOUN
iajs-3102	20	4	accuracy	accuracy	NOUN
iajs-3102	20	5	and	and	CCONJ
iajs-3102	20	6	especially	especially	ADV
iajs-3102	20	7	reading	read	VERB
iajs-3102	20	8	rate	rate	NOUN
iajs-3102	20	9	(	(	PUNCT
iajs-3102	20	10	speed	speed	NOUN
iajs-3102	20	11	)	)	PUNCT
iajs-3102	20	12	as	as	SCONJ
iajs-3102	20	13	word	word	NOUN
iajs-3102	20	14	correct	correct	ADJ
iajs-3102	20	15	per	per	ADP
iajs-3102	20	16	minute	minute	NOUN
iajs-3102	20	17	(	(	PUNCT
iajs-3102	20	18	wcpm	wcpm	PROPN
iajs-3102	20	19	)	)	PUNCT
iajs-3102	20	20	has	have	AUX
iajs-3102	20	21	been	be	AUX
iajs-3102	20	22	and	and	CCONJ
iajs-3102	20	23	still	still	ADV
iajs-3102	20	24	is	be	AUX
iajs-3102	20	25	the	the	DET
iajs-3102	20	26	main	main	ADJ
iajs-3102	20	27	focus	focus	NOUN
iajs-3102	20	28	for	for	ADP
iajs-3102	20	29	many	many	ADJ
iajs-3102	20	30	researchers	researcher	NOUN
iajs-3102	20	31	in	in	ADP
iajs-3102	20	32	assessing	assess	VERB
iajs-3102	20	33	learners	learner	NOUN
iajs-3102	20	34	’	'	PUNCT
iajs-3102	20	35	orf	orf	PROPN
iajs-3102	20	36	as	as	SCONJ
iajs-3102	20	37	it	it	PRON
iajs-3102	20	38	is	be	AUX
iajs-3102	20	39	highly	highly	ADV
iajs-3102	20	40	important	important	ADJ
iajs-3102	20	41	for	for	ADP
iajs-3102	20	42	teachers	teacher	NOUN
iajs-3102	20	43	,	,	PUNCT
iajs-3102	20	44	educators	educator	NOUN
iajs-3102	20	45	,	,	PUNCT
iajs-3102	20	46	and	and	CCONJ
iajs-3102	20	47	educational	educational	ADJ
iajs-3102	20	48	institutions	institution	NOUN
iajs-3102	20	49	.	.	PUNCT
iajs-3102	21	1	the	the	DET
iajs-3102	21	2	significance	significance	NOUN
iajs-3102	21	3	of	of	ADP
iajs-3102	21	4	assessing	assess	VERB
iajs-3102	21	5	readers	reader	NOUN
iajs-3102	21	6	’	'	PUNCT
iajs-3102	21	7	(	(	PUNCT
iajs-3102	21	8	wcpm	wcpm	PROPN
iajs-3102	21	9	)	)	PUNCT
iajs-3102	21	10	can	can	AUX
iajs-3102	21	11	be	be	AUX
iajs-3102	21	12	summarized	summarize	VERB
iajs-3102	21	13	in	in	ADP
iajs-3102	21	14	the	the	DET
iajs-3102	21	15	following	following	NOUN
iajs-3102	21	16	:	:	PUNCT
iajs-3102	21	17	(	(	PUNCT
iajs-3102	21	18	1	1	X
iajs-3102	21	19	)	)	PUNCT
iajs-3102	21	20	it	it	PRON
iajs-3102	21	21	is	be	AUX
iajs-3102	21	22	a	a	DET
iajs-3102	21	23	fast	fast	ADJ
iajs-3102	21	24	and	and	CCONJ
iajs-3102	21	25	reliable	reliable	ADJ
iajs-3102	21	26	indicator	indicator	NOUN
iajs-3102	21	27	that	that	PRON
iajs-3102	21	28	shows	show	VERB
iajs-3102	21	29	readers	reader	NOUN
iajs-3102	21	30	’	'	PUNCT
iajs-3102	21	31	level	level	NOUN
iajs-3102	21	32	of	of	ADP
iajs-3102	21	33	reading	read	VERB
iajs-3102	21	34	speed	speed	NOUN
iajs-3102	21	35	and	and	CCONJ
iajs-3102	21	36	accuracy	accuracy	NOUN
iajs-3102	21	37	;	;	PUNCT
iajs-3102	21	38	(	(	PUNCT
iajs-3102	21	39	2	2	X
iajs-3102	21	40	)	)	PUNCT
iajs-3102	21	41	it	it	PRON
iajs-3102	21	42	can	can	AUX
iajs-3102	21	43	be	be	AUX
iajs-3102	21	44	used	use	VERB
iajs-3102	21	45	in	in	ADP
iajs-3102	21	46	the	the	DET
iajs-3102	21	47	process	process	NOUN
iajs-3102	21	48	of	of	ADP
iajs-3102	21	49	evaluating	evaluate	VERB
iajs-3102	21	50	and	and	CCONJ
iajs-3102	21	51	developing	develop	VERB
iajs-3102	21	52	reading	reading	NOUN
iajs-3102	21	53	curriculum	curriculum	NOUN
iajs-3102	21	54	(	(	PUNCT
iajs-3102	21	55	textbooks	textbook	NOUN
iajs-3102	21	56	)	)	PUNCT
iajs-3102	21	57	;	;	PUNCT
iajs-3102	21	58	(	(	PUNCT
iajs-3102	21	59	3	3	X
iajs-3102	21	60	)	)	PUNCT
iajs-3102	21	61	it	it	PRON
iajs-3102	21	62	enables	enable	VERB
iajs-3102	21	63	researchers	researcher	NOUN
iajs-3102	21	64	to	to	PART
iajs-3102	21	65	easily	easily	ADV
iajs-3102	21	66	do	do	VERB
iajs-3102	21	67	and	and	CCONJ
iajs-3102	21	68	assess	assess	VERB
iajs-3102	21	69	the	the	DET
iajs-3102	21	70	effectiveness	effectiveness	NOUN
iajs-3102	21	71	of	of	ADP
iajs-3102	21	72	their	their	PRON
iajs-3102	21	73	interventions	intervention	NOUN
iajs-3102	21	74	while	while	SCONJ
iajs-3102	21	75	doing	do	VERB
iajs-3102	21	76	experimental	experimental	ADJ
iajs-3102	21	77	studies	study	NOUN
iajs-3102	21	78	;	;	PUNCT
iajs-3102	21	79	and	and	CCONJ
iajs-3102	21	80	(	(	PUNCT
iajs-3102	21	81	4	4	X
iajs-3102	21	82	)	)	PUNCT
iajs-3102	21	83	it	it	PRON
iajs-3102	21	84	saves	save	VERB
iajs-3102	21	85	readers	reader	NOUN
iajs-3102	21	86	,	,	PUNCT
iajs-3102	21	87	educators	educator	NOUN
iajs-3102	21	88	and	and	CCONJ
iajs-3102	21	89	researchers	researcher	NOUN
iajs-3102	21	90	’	’	PART
iajs-3102	21	91	time	time	NOUN
iajs-3102	21	92	and	and	CCONJ
iajs-3102	21	93	effort	effort	NOUN
iajs-3102	21	94	in	in	ADP
iajs-3102	21	95	detecting	detect	VERB
iajs-3102	21	96	the	the	DET
iajs-3102	21	97	ineffective	ineffective	ADJ
iajs-3102	21	98	reading	reading	NOUN
iajs-3102	21	99	material	material	NOUN
iajs-3102	22	1	[	[	X
iajs-3102	22	2	5	5	NUM
iajs-3102	22	3	]	]	PUNCT
iajs-3102	22	4	.	.	PUNCT
iajs-3102	23	1	accordingly	accordingly	ADV
iajs-3102	23	2	,	,	PUNCT
iajs-3102	23	3	as	as	ADP
iajs-3102	23	4	an	an	DET
iajs-3102	23	5	outcome	outcome	NOUN
iajs-3102	23	6	,	,	PUNCT
iajs-3102	23	7	wcmp	wcmp	PROPN
iajs-3102	23	8	has	have	AUX
iajs-3102	23	9	been	be	AUX
iajs-3102	23	10	a	a	DET
iajs-3102	23	11	significant	significant	ADJ
iajs-3102	23	12	indicator	indicator	NOUN
iajs-3102	23	13	of	of	ADP
iajs-3102	23	14	learners	learner	NOUN
iajs-3102	23	15	’	'	PUNCT
iajs-3102	23	16	reading	read	VERB
iajs-3102	23	17	rate	rate	NOUN
iajs-3102	23	18	(	(	PUNCT
iajs-3102	23	19	speed	speed	NOUN
iajs-3102	23	20	)	)	PUNCT
iajs-3102	23	21	,	,	PUNCT
iajs-3102	23	22	reading	read	VERB
iajs-3102	23	23	accuracy	accuracy	NOUN
iajs-3102	23	24	,	,	PUNCT
iajs-3102	23	25	and	and	CCONJ
iajs-3102	23	26	comprehension	comprehension	NOUN
iajs-3102	23	27	.	.	PUNCT
iajs-3102	24	1	therefore	therefore	ADV
iajs-3102	24	2	,	,	PUNCT
iajs-3102	24	3	for	for	ADP
iajs-3102	24	4	several	several	ADJ
iajs-3102	24	5	decades	decade	NOUN
iajs-3102	24	6	,	,	PUNCT
iajs-3102	24	7	researchers	researcher	NOUN
iajs-3102	24	8	have	have	AUX
iajs-3102	24	9	concentrated	concentrate	VERB
iajs-3102	24	10	on	on	ADP
iajs-3102	24	11	evaluating	evaluate	VERB
iajs-3102	24	12	readers	reader	NOUN
iajs-3102	24	13	’	’	PART
iajs-3102	24	14	speed	speed	NOUN
iajs-3102	24	15	and	and	CCONJ
iajs-3102	24	16	accuracy	accuracy	NOUN
iajs-3102	24	17	levels	level	NOUN
iajs-3102	24	18	using	use	VERB
iajs-3102	24	19	wcpm	wcpm	PROPN
iajs-3102	24	20	[	[	X
iajs-3102	24	21	4	4	NUM
iajs-3102	24	22	]	]	PUNCT
iajs-3102	24	23	.	.	PUNCT
iajs-3102	25	1	reading	read	VERB
iajs-3102	25	2	rate	rate	NOUN
iajs-3102	25	3	wcpm	wcpm	PROPN
iajs-3102	25	4	depends	depend	VERB
iajs-3102	25	5	mainly	mainly	ADV
iajs-3102	25	6	on	on	ADP
iajs-3102	25	7	the	the	DET
iajs-3102	25	8	number	number	NOUN
iajs-3102	25	9	of	of	ADP
iajs-3102	25	10	errors	error	NOUN
iajs-3102	25	11	readers	reader	NOUN
iajs-3102	25	12	make	make	VERB
iajs-3102	25	13	,	,	PUNCT
iajs-3102	25	14	the	the	DET
iajs-3102	25	15	number	number	NOUN
iajs-3102	25	16	of	of	ADP
iajs-3102	25	17	correct	correct	ADJ
iajs-3102	25	18	words	word	NOUN
iajs-3102	25	19	they	they	PRON
iajs-3102	25	20	maintain	maintain	VERB
iajs-3102	25	21	to	to	PART
iajs-3102	25	22	read	read	VERB
iajs-3102	25	23	,	,	PUNCT
iajs-3102	25	24	and	and	CCONJ
iajs-3102	25	25	the	the	DET
iajs-3102	25	26	total	total	ADJ
iajs-3102	25	27	time	time	NOUN
iajs-3102	25	28	(	(	PUNCT
iajs-3102	25	29	total	total	ADJ
iajs-3102	25	30	reading	reading	NOUN
iajs-3102	25	31	time	time	NOUN
iajs-3102	25	32	)	)	PUNCT
iajs-3102	25	33	they	they	PRON
iajs-3102	25	34	take	take	VERB
iajs-3102	25	35	to	to	PART
iajs-3102	25	36	read	read	VERB
iajs-3102	25	37	the	the	DET
iajs-3102	25	38	selected	select	VERB
iajs-3102	25	39	passage	passage	NOUN
iajs-3102	25	40	[	[	X
iajs-3102	25	41	3	3	NUM
iajs-3102	25	42	]	]	PUNCT
iajs-3102	25	43	.	.	PUNCT
iajs-3102	26	1	in	in	ADP
iajs-3102	26	2	general	general	ADJ
iajs-3102	26	3	,	,	PUNCT
iajs-3102	26	4	many	many	ADJ
iajs-3102	26	5	factors	factor	NOUN
iajs-3102	26	6	may	may	AUX
iajs-3102	26	7	affect	affect	VERB
iajs-3102	26	8	efl	efl	PROPN
iajs-3102	26	9	and	and	CCONJ
iajs-3102	26	10	esl	esl	PROPN
iajs-3102	26	11	readers	reader	NOUN
iajs-3102	26	12	’	’	PART
iajs-3102	26	13	wcpm	wcpm	PROPN
iajs-3102	26	14	scores	score	NOUN
iajs-3102	26	15	,	,	PUNCT
iajs-3102	26	16	such	such	ADJ
iajs-3102	26	17	as	as	ADP
iajs-3102	26	18	:	:	PUNCT
iajs-3102	26	19	(	(	PUNCT
iajs-3102	26	20	1	1	X
iajs-3102	26	21	)	)	PUNCT
iajs-3102	26	22	the	the	DET
iajs-3102	26	23	influence	influence	NOUN
iajs-3102	26	24	of	of	ADP
iajs-3102	26	25	their	their	PRON
iajs-3102	26	26	mother	mother	NOUN
iajs-3102	26	27	tongue	tongue	NOUN
iajs-3102	26	28	;	;	PUNCT
iajs-3102	26	29	(	(	PUNCT
iajs-3102	26	30	2	2	X
iajs-3102	26	31	)	)	PUNCT
iajs-3102	26	32	their	their	PRON
iajs-3102	26	33	phonological	phonological	ADJ
iajs-3102	26	34	,	,	PUNCT
iajs-3102	26	35	syntactical	syntactical	ADJ
iajs-3102	26	36	,	,	PUNCT
iajs-3102	26	37	and	and	CCONJ
iajs-3102	26	38	semantical	semantical	ADJ
iajs-3102	26	39	awareness	awareness	NOUN
iajs-3102	26	40	of	of	ADP
iajs-3102	26	41	the	the	DET
iajs-3102	26	42	target	target	NOUN
iajs-3102	26	43	language	language	NOUN
iajs-3102	26	44	;	;	PUNCT
iajs-3102	26	45	(	(	PUNCT
iajs-3102	26	46	3	3	X
iajs-3102	26	47	)	)	PUNCT
iajs-3102	26	48	their	their	PRON
iajs-3102	26	49	memory	memory	NOUN
iajs-3102	26	50	span	span	NOUN
iajs-3102	26	51	quality	quality	NOUN
iajs-3102	26	52	in	in	ADP
iajs-3102	26	53	the	the	DET
iajs-3102	26	54	foreign	foreign	ADJ
iajs-3102	26	55	language	language	NOUN
iajs-3102	26	56	;	;	PUNCT
iajs-3102	26	57	(	(	PUNCT
iajs-3102	26	58	4	4	X
iajs-3102	26	59	)	)	PUNCT
iajs-3102	26	60	their	their	PRON
iajs-3102	26	61	knowledge	knowledge	NOUN
iajs-3102	26	62	and	and	CCONJ
iajs-3102	26	63	experience	experience	NOUN
iajs-3102	26	64	of	of	ADP
iajs-3102	26	65	making	make	VERB
iajs-3102	26	66	correct	correct	ADJ
iajs-3102	26	67	associations	association	NOUN
iajs-3102	26	68	of	of	ADP
iajs-3102	26	69	sounds	sound	NOUN
iajs-3102	26	70	;	;	PUNCT
iajs-3102	26	71	and	and	CCONJ
iajs-3102	26	72	(	(	PUNCT
iajs-3102	26	73	5	5	X
iajs-3102	26	74	)	)	PUNCT
iajs-3102	26	75	the	the	DET
iajs-3102	26	76	difference	difference	NOUN
iajs-3102	26	77	between	between	ADP
iajs-3102	26	78	their	their	PRON
iajs-3102	26	79	mother	mother	NOUN
iajs-3102	26	80	tongue	tongue	NOUN
iajs-3102	26	81	and	and	CCONJ
iajs-3102	26	82	foreign	foreign	ADJ
iajs-3102	26	83	language	language	NOUN
iajs-3102	26	84	script	script	NOUN
iajs-3102	26	85	direction	direction	NOUN
iajs-3102	26	86	,	,	PUNCT
iajs-3102	26	87	such	such	ADJ
iajs-3102	26	88	as	as	ADP
iajs-3102	26	89	from	from	ADP
iajs-3102	26	90	left	left	ADJ
iajs-3102	26	91	to	to	ADP
iajs-3102	26	92	right	right	NOUN
iajs-3102	26	93	or	or	CCONJ
iajs-3102	26	94	right	right	ADJ
iajs-3102	26	95	to	to	PART
iajs-3102	26	96	left	left	VERB
iajs-3102	26	97	[	[	PUNCT
iajs-3102	26	98	6	6	NUM
iajs-3102	26	99	]	]	PUNCT
iajs-3102	26	100	.	.	PUNCT
iajs-3102	27	1	other	other	ADJ
iajs-3102	27	2	factors	factor	NOUN
iajs-3102	27	3	were	be	AUX
iajs-3102	27	4	also	also	ADV
iajs-3102	27	5	pointed	point	VERB
iajs-3102	27	6	out	out	ADP
iajs-3102	27	7	by	by	ADP
iajs-3102	27	8	rahmawati	rahmawati	PROPN
iajs-3102	27	9	et	et	PROPN
iajs-3102	27	10	al	al	PROPN
iajs-3102	27	11	.	.	PUNCT
iajs-3102	28	1	[	[	X
iajs-3102	28	2	7	7	X
iajs-3102	28	3	]	]	PUNCT
iajs-3102	28	4	regarding	regard	VERB
iajs-3102	28	5	the	the	DET
iajs-3102	28	6	quality	quality	NOUN
iajs-3102	28	7	of	of	ADP
iajs-3102	28	8	the	the	DET
iajs-3102	28	9	selected	select	VERB
iajs-3102	28	10	text	text	NOUN
iajs-3102	28	11	,	,	PUNCT
iajs-3102	28	12	such	such	ADJ
iajs-3102	28	13	as	as	ADP
iajs-3102	28	14	the	the	DET
iajs-3102	28	15	volume	volume	NOUN
iajs-3102	28	16	of	of	ADP
iajs-3102	28	17	the	the	DET
iajs-3102	28	18	text	text	NOUN
iajs-3102	28	19	,	,	PUNCT
iajs-3102	28	20	the	the	DET
iajs-3102	28	21	level	level	NOUN
iajs-3102	28	22	of	of	ADP
iajs-3102	28	23	difficulty	difficulty	NOUN
iajs-3102	28	24	of	of	ADP
iajs-3102	28	25	the	the	DET
iajs-3102	28	26	sentence	sentence	NOUN
iajs-3102	28	27	structure	structure	NOUN
iajs-3102	28	28	of	of	ADP
iajs-3102	28	29	the	the	DET
iajs-3102	28	30	text	text	NOUN
iajs-3102	28	31	,	,	PUNCT
iajs-3102	28	32	and	and	CCONJ
iajs-3102	28	33	the	the	DET
iajs-3102	28	34	quality	quality	NOUN
iajs-3102	28	35	and	and	CCONJ
iajs-3102	28	36	number	number	NOUN
iajs-3102	28	37	of	of	ADP
iajs-3102	28	38	difficult	difficult	ADJ
iajs-3102	28	39	terms	term	NOUN
iajs-3102	28	40	in	in	ADP
iajs-3102	28	41	the	the	DET
iajs-3102	28	42	text	text	NOUN
iajs-3102	28	43	.	.	PUNCT
iajs-3102	29	1	previously	previously	ADV
iajs-3102	29	2	,	,	PUNCT
iajs-3102	29	3	many	many	ADJ
iajs-3102	29	4	researchers	researcher	NOUN
iajs-3102	29	5	have	have	AUX
iajs-3102	29	6	used	use	VERB
iajs-3102	29	7	software	software	NOUN
iajs-3102	29	8	programs	program	NOUN
iajs-3102	29	9	focusing	focus	VERB
iajs-3102	29	10	on	on	ADP
iajs-3102	29	11	using	use	VERB
iajs-3102	29	12	wcpm	wcpm	PROPN
iajs-3102	29	13	as	as	ADP
iajs-3102	29	14	a	a	DET
iajs-3102	29	15	component	component	NOUN
iajs-3102	29	16	of	of	ADP
iajs-3102	29	17	orf	orf	PROPN
iajs-3102	29	18	.	.	PUNCT
iajs-3102	30	1	however	however	ADV
iajs-3102	30	2	,	,	PUNCT
iajs-3102	30	3	a	a	DET
iajs-3102	30	4	few	few	ADJ
iajs-3102	30	5	studies	study	NOUN
iajs-3102	30	6	have	have	AUX
iajs-3102	30	7	been	be	AUX
iajs-3102	30	8	performed	perform	VERB
iajs-3102	30	9	on	on	ADP
iajs-3102	30	10	predicting	predict	VERB
iajs-3102	30	11	reading	read	VERB
iajs-3102	30	12	rates	rate	NOUN
iajs-3102	30	13	using	use	VERB
iajs-3102	30	14	machine	machine	NOUN
iajs-3102	30	15	learning	learning	NOUN
iajs-3102	30	16	algorithms	algorithm	NOUN
iajs-3102	30	17	.	.	PUNCT
iajs-3102	31	1	reading	read	VERB
iajs-3102	31	2	rate	rate	NOUN
iajs-3102	31	3	wcpm	wcpm	PROPN
iajs-3102	31	4	reflects	reflect	VERB
iajs-3102	31	5	students	student	NOUN
iajs-3102	31	6	’	'	PUNCT
iajs-3102	31	7	reading	reading	NOUN
iajs-3102	31	8	accuracy	accuracy	NOUN
iajs-3102	31	9	and	and	CCONJ
iajs-3102	31	10	speed	speed	NOUN
iajs-3102	31	11	levels	level	NOUN
iajs-3102	31	12	.	.	PUNCT
iajs-3102	32	1	for	for	ADP
iajs-3102	32	2	this	this	DET
iajs-3102	32	3	reason	reason	NOUN
iajs-3102	32	4	,	,	PUNCT
iajs-3102	32	5	it	it	PRON
iajs-3102	32	6	is	be	AUX
iajs-3102	32	7	very	very	ADV
iajs-3102	32	8	important	important	ADJ
iajs-3102	32	9	to	to	PART
iajs-3102	32	10	assess	assess	VERB
iajs-3102	32	11	and	and	CCONJ
iajs-3102	32	12	predict	predict	VERB
iajs-3102	32	13	the	the	DET
iajs-3102	32	14	wcpm	wcpm	NOUN
iajs-3102	32	15	to	to	PART
iajs-3102	32	16	measure	measure	VERB
iajs-3102	32	17	the	the	DET
iajs-3102	32	18	levels	level	NOUN
iajs-3102	32	19	of	of	ADP
iajs-3102	32	20	reading	read	VERB
iajs-3102	32	21	rate	rate	NOUN
iajs-3102	32	22	or	or	CCONJ
iajs-3102	32	23	accuracy	accuracy	NOUN
iajs-3102	32	24	for	for	ADP
iajs-3102	32	25	students	student	NOUN
iajs-3102	32	26	using	use	VERB
iajs-3102	32	27	machine	machine	NOUN
iajs-3102	32	28	learning	learning	NOUN
iajs-3102	32	29	algorithms	algorithm	NOUN
iajs-3102	32	30	.	.	PUNCT
iajs-3102	33	1	the	the	DET
iajs-3102	33	2	algorithms	algorithm	NOUN
iajs-3102	33	3	of	of	ADP
iajs-3102	33	4	machine	machine	NOUN
iajs-3102	33	5	learning	learning	NOUN
iajs-3102	33	6	consider	consider	VERB
iajs-3102	33	7	the	the	DET
iajs-3102	33	8	best	good	ADJ
iajs-3102	33	9	solutions	solution	NOUN
iajs-3102	33	10	for	for	ADP
iajs-3102	33	11	many	many	ADJ
iajs-3102	33	12	issues	issue	NOUN
iajs-3102	33	13	that	that	PRON
iajs-3102	33	14	are	be	AUX
iajs-3102	33	15	hard	hard	ADJ
iajs-3102	33	16	to	to	PART
iajs-3102	33	17	fix	fix	VERB
iajs-3102	33	18	.	.	PUNCT
iajs-3102	34	1	classification	classification	NOUN
iajs-3102	34	2	is	be	AUX
iajs-3102	34	3	a	a	DET
iajs-3102	34	4	data	data	NOUN
iajs-3102	34	5	extraction	extraction	NOUN
iajs-3102	34	6	approach	approach	NOUN
iajs-3102	34	7	(	(	PUNCT
iajs-3102	34	8	machine	machine	NOUN
iajs-3102	34	9	learning	learning	NOUN
iajs-3102	34	10	)	)	PUNCT
iajs-3102	34	11	that	that	PRON
iajs-3102	34	12	is	be	AUX
iajs-3102	34	13	utilized	utilize	VERB
iajs-3102	34	14	to	to	PART
iajs-3102	34	15	predict	predict	VERB
iajs-3102	34	16	and	and	CCONJ
iajs-3102	34	17	classify	classify	VERB
iajs-3102	34	18	a	a	DET
iajs-3102	34	19	wide	wide	ADJ
iajs-3102	34	20	range	range	NOUN
iajs-3102	34	21	of	of	ADP
iajs-3102	34	22	domains	domain	NOUN
iajs-3102	34	23	[	[	X
iajs-3102	34	24	8	8	NUM
iajs-3102	34	25	]	]	PUNCT
iajs-3102	34	26	.	.	PUNCT
iajs-3102	35	1	classification	classification	NOUN
iajs-3102	35	2	is	be	AUX
iajs-3102	35	3	utilized	utilize	VERB
iajs-3102	35	4	to	to	PART
iajs-3102	35	5	categorize	categorize	VERB
iajs-3102	35	6	data	datum	NOUN
iajs-3102	35	7	into	into	ADP
iajs-3102	35	8	multiple	multiple	ADJ
iajs-3102	35	9	classes	class	NOUN
iajs-3102	35	10	based	base	VERB
iajs-3102	35	11	on	on	ADP
iajs-3102	35	12	specified	specified	ADJ
iajs-3102	35	13	constraints	constraint	NOUN
iajs-3102	35	14	.	.	PUNCT
iajs-3102	36	1	the	the	DET
iajs-3102	36	2	classification	classification	NOUN
iajs-3102	36	3	is	be	AUX
iajs-3102	36	4	an	an	DET
iajs-3102	36	5	example	example	NOUN
iajs-3102	36	6	of	of	ADP
iajs-3102	36	7	supervised	supervised	ADJ
iajs-3102	36	8	learning	learning	NOUN
iajs-3102	36	9	,	,	PUNCT
iajs-3102	36	10	since	since	SCONJ
iajs-3102	36	11	it	it	PRON
iajs-3102	36	12	uses	use	VERB
iajs-3102	36	13	training	training	NOUN
iajs-3102	36	14	data	datum	NOUN
iajs-3102	36	15	linked	link	VERB
iajs-3102	36	16	with	with	ADP
iajs-3102	36	17	class	class	NOUN
iajs-3102	36	18	labels	label	NOUN
iajs-3102	36	19	as	as	ADP
iajs-3102	36	20	input	input	NOUN
iajs-3102	36	21	.	.	PUNCT
iajs-3102	37	1	classification	classification	NOUN
iajs-3102	37	2	algorithms	algorithm	NOUN
iajs-3102	37	3	are	be	AUX
iajs-3102	37	4	used	use	VERB
iajs-3102	37	5	for	for	ADP
iajs-3102	37	6	several	several	ADJ
iajs-3102	37	7	applications	application	NOUN
iajs-3102	37	8	,	,	PUNCT
iajs-3102	37	9	such	such	ADJ
iajs-3102	37	10	as	as	ADP
iajs-3102	37	11	medical	medical	ADJ
iajs-3102	37	12	disease	disease	NOUN
iajs-3102	37	13	diagnosis	diagnosis	NOUN
iajs-3102	37	14	,	,	PUNCT
iajs-3102	37	15	social	social	ADJ
iajs-3102	37	16	network	network	NOUN
iajs-3102	37	17	analysis	analysis	NOUN
iajs-3102	37	18	,	,	PUNCT
iajs-3102	37	19	artificial	artificial	ADJ
iajs-3102	37	20	intelligence	intelligence	NOUN
iajs-3102	37	21	,	,	PUNCT
iajs-3102	37	22	document	document	NOUN
iajs-3102	37	23	categorization	categorization	NOUN
iajs-3102	37	24	,	,	PUNCT
iajs-3102	37	25	etc	etc	X
iajs-3102	37	26	.	.	X
iajs-3102	37	27	there	there	PRON
iajs-3102	37	28	are	be	VERB
iajs-3102	37	29	several	several	ADJ
iajs-3102	37	30	types	type	NOUN
iajs-3102	37	31	of	of	ADP
iajs-3102	37	32	classification	classification	NOUN
iajs-3102	37	33	techniques	technique	NOUN
iajs-3102	37	34	,	,	PUNCT
iajs-3102	37	35	like	like	ADP
iajs-3102	37	36	k	k	ADV
iajs-3102	37	37	-	-	PUNCT
iajs-3102	37	38	nearest	near	ADJ
iajs-3102	37	39	neighbor	neighbor	NOUN
iajs-3102	37	40	classifier	classifier	NOUN
iajs-3102	37	41	,	,	PUNCT
iajs-3102	37	42	ensemble	ensemble	ADJ
iajs-3102	37	43	classifier	classifier	NOUN
iajs-3102	37	44	,	,	PUNCT
iajs-3102	37	45	decision	decision	NOUN
iajs-3102	37	46	trees	tree	NOUN
iajs-3102	37	47	,	,	PUNCT
iajs-3102	37	48	support	support	NOUN
iajs-3102	37	49	vector	vector	NOUN
iajs-3102	37	50	machine	machine	NOUN
iajs-3102	37	51	etc	etc	X
iajs-3102	37	52	.	.	PUNCT
iajs-3102	38	1	[	[	X
iajs-3102	38	2	9	9	NUM
iajs-3102	38	3	]	]	PUNCT
iajs-3102	38	4	.	.	PUNCT
iajs-3102	39	1	data	datum	NOUN
iajs-3102	39	2	classification	classification	NOUN
iajs-3102	39	3	is	be	AUX
iajs-3102	39	4	the	the	DET
iajs-3102	39	5	process	process	NOUN
iajs-3102	39	6	of	of	ADP
iajs-3102	39	7	classifying	classify	VERB
iajs-3102	39	8	data	datum	NOUN
iajs-3102	39	9	into	into	ADP
iajs-3102	39	10	groups	group	NOUN
iajs-3102	39	11	so	so	SCONJ
iajs-3102	39	12	that	that	SCONJ
iajs-3102	39	13	data	datum	NOUN
iajs-3102	39	14	items	item	NOUN
iajs-3102	39	15	within	within	ADP
iajs-3102	39	16	the	the	DET
iajs-3102	39	17	same	same	ADJ
iajs-3102	39	18	group	group	NOUN
iajs-3102	39	19	are	be	AUX
iajs-3102	39	20	more	more	ADV
iajs-3102	39	21	similar	similar	ADJ
iajs-3102	39	22	and	and	CCONJ
iajs-3102	39	23	data	datum	NOUN
iajs-3102	39	24	items	item	NOUN
iajs-3102	39	25	from	from	ADP
iajs-3102	39	26	various	various	ADJ
iajs-3102	39	27	groups	group	NOUN
iajs-3102	39	28	are	be	AUX
iajs-3102	39	29	not	not	PART
iajs-3102	39	30	similar	similar	ADJ
iajs-3102	39	31	.	.	PUNCT
iajs-3102	40	1	the	the	DET
iajs-3102	40	2	classification	classification	NOUN
iajs-3102	40	3	procedure	procedure	NOUN
iajs-3102	40	4	is	be	AUX
iajs-3102	40	5	separated	separate	VERB
iajs-3102	40	6	into	into	ADP
iajs-3102	40	7	two	two	NUM
iajs-3102	40	8	stages	stage	NOUN
iajs-3102	40	9	.	.	PUNCT
iajs-3102	41	1	the	the	DET
iajs-3102	41	2	first	first	ADJ
iajs-3102	41	3	stage	stage	NOUN
iajs-3102	41	4	is	be	AUX
iajs-3102	41	5	the	the	DET
iajs-3102	41	6	training	training	NOUN
iajs-3102	41	7	phase	phase	NOUN
iajs-3102	41	8	,	,	PUNCT
iajs-3102	41	9	during	during	ADP
iajs-3102	41	10	which	which	PRON
iajs-3102	41	11	the	the	DET
iajs-3102	41	12	classification	classification	NOUN
iajs-3102	41	13	model	model	NOUN
iajs-3102	41	14	is	be	AUX
iajs-3102	41	15	constructed	construct	VERB
iajs-3102	41	16	.	.	PUNCT
iajs-3102	42	1	the	the	DET
iajs-3102	42	2	second	second	ADJ
iajs-3102	42	3	stage	stage	NOUN
iajs-3102	42	4	is	be	AUX
iajs-3102	42	5	classification	classification	NOUN
iajs-3102	42	6	,	,	PUNCT
iajs-3102	42	7	in	in	ADP
iajs-3102	42	8	which	which	PRON
iajs-3102	42	9	the	the	DET
iajs-3102	42	10	trained	train	VERB
iajs-3102	42	11	model	model	NOUN
iajs-3102	42	12	is	be	AUX
iajs-3102	42	13	utilized	utilize	VERB
iajs-3102	42	14	to	to	PART
iajs-3102	42	15	allocate	allocate	VERB
iajs-3102	42	16	an	an	DET
iajs-3102	42	17	unknown	unknown	ADJ
iajs-3102	42	18	data	datum	NOUN
iajs-3102	42	19	item	item	NOUN
iajs-3102	42	20	to	to	ADP
iajs-3102	42	21	one	one	NUM
iajs-3102	42	22	of	of	ADP
iajs-3102	42	23	a	a	DET
iajs-3102	42	24	set	set	NOUN
iajs-3102	42	25	of	of	ADP
iajs-3102	42	26	class	class	NOUN
iajs-3102	42	27	labels	label	NOUN
iajs-3102	42	28	[	[	X
iajs-3102	42	29	10	10	NUM
iajs-3102	42	30	]	]	PUNCT
iajs-3102	42	31	.	.	PUNCT
iajs-3102	43	1	machine	machine	NOUN
iajs-3102	43	2	learning	learn	VERB
iajs-3102	43	3	algorithms	algorithm	NOUN
iajs-3102	43	4	have	have	AUX
iajs-3102	43	5	been	be	AUX
iajs-3102	43	6	used	use	VERB
iajs-3102	43	7	in	in	ADP
iajs-3102	43	8	several	several	ADJ
iajs-3102	43	9	studies	study	NOUN
iajs-3102	43	10	to	to	PART
iajs-3102	43	11	assess	assess	VERB
iajs-3102	43	12	orf	orf	PROPN
iajs-3102	43	13	using	use	VERB
iajs-3102	43	14	wcpm	wcpm	PROPN
iajs-3102	43	15	as	as	ADP
iajs-3102	43	16	a	a	DET
iajs-3102	43	17	component	component	NOUN
iajs-3102	43	18	.	.	PUNCT
iajs-3102	44	1	for	for	ADP
iajs-3102	44	2	example	example	NOUN
iajs-3102	44	3	,	,	PUNCT
iajs-3102	44	4	bolaños	bolaños	PROPN
iajs-3102	44	5	et	et	PROPN
iajs-3102	44	6	al	al	PROPN
iajs-3102	44	7	.	.	PUNCT
iajs-3102	45	1	[	[	X
iajs-3102	45	2	11	11	NUM
iajs-3102	45	3	]	]	PUNCT
iajs-3102	45	4	have	have	AUX
iajs-3102	45	5	used	use	VERB
iajs-3102	45	6	word	word	NOUN
iajs-3102	45	7	accuracy	accuracy	NOUN
iajs-3102	45	8	,	,	PUNCT
iajs-3102	45	9	reading	read	VERB
iajs-3102	45	10	rate	rate	NOUN
iajs-3102	45	11	(	(	PUNCT
iajs-3102	45	12	wcpm	wcpm	PROPN
iajs-3102	45	13	)	)	PUNCT
iajs-3102	45	14	,	,	PUNCT
iajs-3102	45	15	and	and	CCONJ
iajs-3102	45	16	expressiveness	expressiveness	NOUN
iajs-3102	45	17	as	as	ADP
iajs-3102	45	18	components	component	NOUN
iajs-3102	45	19	of	of	ADP
iajs-3102	45	20	oral	oral	ADJ
iajs-3102	45	21	reading	reading	NOUN
iajs-3102	45	22	fluency	fluency	NOUN
iajs-3102	45	23	in	in	ADP
iajs-3102	45	24	order	order	NOUN
iajs-3102	45	25	to	to	PART
iajs-3102	45	26	measure	measure	VERB
iajs-3102	45	27	the	the	DET
iajs-3102	45	28	reading	reading	NOUN
iajs-3102	45	29	ability	ability	NOUN
iajs-3102	45	30	of	of	ADP
iajs-3102	45	31	ihjpas	ihjpas	PROPN
iajs-3102	45	32	.	.	PUNCT
iajs-3102	46	1	36(1)2023	36(1)2023	NUM
iajs-3102	46	2	452	452	NUM
iajs-3102	46	3	children	child	NOUN
iajs-3102	46	4	using	use	VERB
iajs-3102	46	5	speech	speech	NOUN
iajs-3102	46	6	recognition	recognition	NOUN
iajs-3102	46	7	and	and	CCONJ
iajs-3102	46	8	machine	machine	NOUN
iajs-3102	46	9	learning	learning	NOUN
iajs-3102	46	10	algorithms	algorithm	NOUN
iajs-3102	46	11	.	.	PUNCT
iajs-3102	47	1	kim	kim	PROPN
iajs-3102	47	2	et	et	PROPN
iajs-3102	47	3	al	al	PROPN
iajs-3102	47	4	.	.	PUNCT
iajs-3102	48	1	[	[	X
iajs-3102	48	2	12	12	NUM
iajs-3102	48	3	]	]	PUNCT
iajs-3102	48	4	used	use	VERB
iajs-3102	48	5	acoustic	acoustic	ADJ
iajs-3102	48	6	features	feature	NOUN
iajs-3102	48	7	to	to	PART
iajs-3102	48	8	estimate	estimate	VERB
iajs-3102	48	9	oral	oral	ADJ
iajs-3102	48	10	reading	reading	NOUN
iajs-3102	48	11	fluency	fluency	NOUN
iajs-3102	48	12	measured	measure	VERB
iajs-3102	48	13	by	by	ADP
iajs-3102	48	14	wcmp	wcmp	NOUN
iajs-3102	48	15	using	use	VERB
iajs-3102	48	16	machine	machine	NOUN
iajs-3102	48	17	learning	learning	NOUN
iajs-3102	48	18	algorithms	algorithm	NOUN
iajs-3102	48	19	.	.	PUNCT
iajs-3102	49	1	therefore	therefore	ADV
iajs-3102	49	2	,	,	PUNCT
iajs-3102	49	3	the	the	DET
iajs-3102	49	4	aim	aim	NOUN
iajs-3102	49	5	of	of	ADP
iajs-3102	49	6	the	the	DET
iajs-3102	49	7	study	study	NOUN
iajs-3102	49	8	is	be	AUX
iajs-3102	49	9	to	to	PART
iajs-3102	49	10	show	show	VERB
iajs-3102	49	11	and	and	CCONJ
iajs-3102	49	12	examine	examine	VERB
iajs-3102	49	13	findings	finding	NOUN
iajs-3102	49	14	obtained	obtain	VERB
iajs-3102	49	15	using	use	VERB
iajs-3102	49	16	ec	ec	PROPN
iajs-3102	49	17	,	,	PUNCT
iajs-3102	49	18	knn	knn	PROPN
iajs-3102	49	19	,	,	PUNCT
iajs-3102	49	20	and	and	CCONJ
iajs-3102	49	21	dt	dt	AUX
iajs-3102	49	22	algorithms	algorithm	NOUN
iajs-3102	49	23	to	to	PART
iajs-3102	49	24	predict	predict	VERB
iajs-3102	49	25	the	the	DET
iajs-3102	49	26	wcpm	wcpm	NOUN
iajs-3102	49	27	reading	reading	NOUN
iajs-3102	49	28	rate	rate	NOUN
iajs-3102	49	29	.	.	PUNCT
iajs-3102	50	1	in	in	ADP
iajs-3102	50	2	other	other	ADJ
iajs-3102	50	3	words	word	NOUN
iajs-3102	50	4	,	,	PUNCT
iajs-3102	50	5	the	the	DET
iajs-3102	50	6	goals	goal	NOUN
iajs-3102	50	7	of	of	ADP
iajs-3102	50	8	this	this	DET
iajs-3102	50	9	research	research	NOUN
iajs-3102	50	10	are	be	AUX
iajs-3102	50	11	to	to	PART
iajs-3102	50	12	predict	predict	VERB
iajs-3102	50	13	the	the	DET
iajs-3102	50	14	levels	level	NOUN
iajs-3102	50	15	of	of	ADP
iajs-3102	50	16	reading	read	VERB
iajs-3102	50	17	rate	rate	NOUN
iajs-3102	50	18	wcpm	wcpm	PROPN
iajs-3102	50	19	using	use	VERB
iajs-3102	50	20	the	the	DET
iajs-3102	50	21	three	three	NUM
iajs-3102	50	22	machine	machine	NOUN
iajs-3102	50	23	learning	learn	VERB
iajs-3102	50	24	methods	method	NOUN
iajs-3102	50	25	and	and	CCONJ
iajs-3102	50	26	to	to	PART
iajs-3102	50	27	identify	identify	VERB
iajs-3102	50	28	which	which	DET
iajs-3102	50	29	algorithm	algorithm	NOUN
iajs-3102	50	30	produces	produce	VERB
iajs-3102	50	31	the	the	DET
iajs-3102	50	32	best	good	ADJ
iajs-3102	50	33	classification	classification	NOUN
iajs-3102	50	34	results	result	NOUN
iajs-3102	50	35	in	in	ADP
iajs-3102	50	36	terms	term	NOUN
iajs-3102	50	37	of	of	ADP
iajs-3102	50	38	the	the	DET
iajs-3102	50	39	confusion	confusion	NOUN
iajs-3102	50	40	matrix	matrix	NOUN
iajs-3102	50	41	and	and	CCONJ
iajs-3102	50	42	roc	roc	PROPN
iajs-3102	50	43	curve	curve	NOUN
iajs-3102	50	44	.	.	PUNCT
iajs-3102	51	1	2	2	X
iajs-3102	51	2	.	.	X
iajs-3102	51	3	materials	material	NOUN
iajs-3102	51	4	and	and	CCONJ
iajs-3102	51	5	methods	method	NOUN
iajs-3102	51	6	2.1	2.1	NUM
iajs-3102	51	7	data	datum	NOUN
iajs-3102	51	8	collection	collection	NOUN
iajs-3102	51	9	the	the	DET
iajs-3102	51	10	source	source	NOUN
iajs-3102	51	11	of	of	ADP
iajs-3102	51	12	data	datum	NOUN
iajs-3102	51	13	was	be	AUX
iajs-3102	51	14	the	the	DET
iajs-3102	51	15	mid	mid	ADJ
iajs-3102	51	16	-	-	ADJ
iajs-3102	51	17	term	term	NOUN
iajs-3102	51	18	oral	oral	ADJ
iajs-3102	51	19	reading	reading	NOUN
iajs-3102	51	20	exam	exam	NOUN
iajs-3102	51	21	of	of	ADP
iajs-3102	51	22	100	100	NUM
iajs-3102	51	23	kurdish	kurdish	X
iajs-3102	51	24	efl	efl	PROPN
iajs-3102	51	25	2nd	2nd	ADJ
iajs-3102	51	26	-	-	PUNCT
iajs-3102	51	27	year	year	NOUN
iajs-3102	51	28	university	university	NOUN
iajs-3102	51	29	students	student	NOUN
iajs-3102	51	30	of	of	ADP
iajs-3102	51	31	the	the	DET
iajs-3102	51	32	english	english	PROPN
iajs-3102	51	33	language	language	PROPN
iajs-3102	51	34	department	department	PROPN
iajs-3102	51	35	,	,	PUNCT
iajs-3102	51	36	university	university	NOUN
iajs-3102	51	37	of	of	ADP
iajs-3102	51	38	duhok	duhok	NOUN
iajs-3102	51	39	,	,	PUNCT
iajs-3102	51	40	in	in	ADP
iajs-3102	51	41	2021	2021	NUM
iajs-3102	51	42	.	.	PUNCT
iajs-3102	52	1	students	student	NOUN
iajs-3102	52	2	were	be	AUX
iajs-3102	52	3	individually	individually	ADV
iajs-3102	52	4	tested	test	VERB
iajs-3102	52	5	as	as	SCONJ
iajs-3102	52	6	they	they	PRON
iajs-3102	52	7	were	be	AUX
iajs-3102	52	8	given	give	VERB
iajs-3102	52	9	a	a	DET
iajs-3102	52	10	reading	reading	NOUN
iajs-3102	52	11	passage	passage	NOUN
iajs-3102	52	12	of	of	ADP
iajs-3102	52	13	514	514	NUM
iajs-3102	52	14	words	word	NOUN
iajs-3102	52	15	from	from	ADP
iajs-3102	52	16	the	the	DET
iajs-3102	52	17	book	book	NOUN
iajs-3102	52	18	cover	cover	NOUN
iajs-3102	52	19	-	-	PUNCT
iajs-3102	52	20	tocover2	tocover2	VERB
iajs-3102	52	21	by	by	ADP
iajs-3102	52	22	day	day	NOUN
iajs-3102	52	23	and	and	CCONJ
iajs-3102	52	24	harsch	harsch	X
iajs-3102	53	1	[	[	X
iajs-3102	53	2	13	13	NUM
iajs-3102	53	3	]	]	PUNCT
iajs-3102	53	4	.	.	PUNCT
iajs-3102	54	1	the	the	DET
iajs-3102	54	2	book	book	NOUN
iajs-3102	54	3	is	be	AUX
iajs-3102	54	4	designed	design	VERB
iajs-3102	54	5	to	to	PART
iajs-3102	54	6	include	include	VERB
iajs-3102	54	7	intensive	intensive	ADJ
iajs-3102	54	8	and	and	CCONJ
iajs-3102	54	9	extensive	extensive	ADJ
iajs-3102	54	10	reading	reading	NOUN
iajs-3102	54	11	passages	passage	NOUN
iajs-3102	54	12	that	that	PRON
iajs-3102	54	13	are	be	AUX
iajs-3102	54	14	joyful	joyful	ADJ
iajs-3102	54	15	,	,	PUNCT
iajs-3102	54	16	interesting	interesting	ADJ
iajs-3102	54	17	,	,	PUNCT
iajs-3102	54	18	and	and	CCONJ
iajs-3102	54	19	relatively	relatively	ADV
iajs-3102	54	20	brief	brief	ADJ
iajs-3102	54	21	.	.	PUNCT
iajs-3102	55	1	the	the	DET
iajs-3102	55	2	selected	select	VERB
iajs-3102	55	3	passage	passage	NOUN
iajs-3102	55	4	consisted	consist	VERB
iajs-3102	55	5	of	of	ADP
iajs-3102	55	6	five	five	NUM
iajs-3102	55	7	paragraphs	paragraph	NOUN
iajs-3102	55	8	,	,	PUNCT
iajs-3102	55	9	including	include	VERB
iajs-3102	55	10	a	a	DET
iajs-3102	55	11	variety	variety	NOUN
iajs-3102	55	12	of	of	ADP
iajs-3102	55	13	simple	simple	ADJ
iajs-3102	55	14	,	,	PUNCT
iajs-3102	55	15	compound	compound	NOUN
iajs-3102	55	16	,	,	PUNCT
iajs-3102	55	17	complex	complex	ADJ
iajs-3102	55	18	,	,	PUNCT
iajs-3102	55	19	and	and	CCONJ
iajs-3102	55	20	compound	compound	NOUN
iajs-3102	55	21	-	-	PUNCT
iajs-3102	55	22	complex	complex	NOUN
iajs-3102	55	23	sentence	sentence	NOUN
iajs-3102	55	24	structures	structure	NOUN
iajs-3102	55	25	.	.	PUNCT
iajs-3102	56	1	2.2	2.2	NUM
iajs-3102	56	2	human	human	ADJ
iajs-3102	56	3	scoring	scoring	NOUN
iajs-3102	56	4	:	:	PUNCT
iajs-3102	56	5	printed	print	VERB
iajs-3102	56	6	copies	copy	NOUN
iajs-3102	56	7	of	of	ADP
iajs-3102	56	8	the	the	DET
iajs-3102	56	9	selected	select	VERB
iajs-3102	56	10	reading	reading	NOUN
iajs-3102	56	11	passage	passage	NOUN
iajs-3102	56	12	were	be	AUX
iajs-3102	56	13	prepared	prepare	VERB
iajs-3102	56	14	for	for	ADP
iajs-3102	56	15	each	each	DET
iajs-3102	56	16	participant	participant	NOUN
iajs-3102	56	17	in	in	ADP
iajs-3102	56	18	advance	advance	NOUN
iajs-3102	56	19	,	,	PUNCT
iajs-3102	56	20	and	and	CCONJ
iajs-3102	56	21	participants	participant	NOUN
iajs-3102	56	22	were	be	AUX
iajs-3102	56	23	tested	test	VERB
iajs-3102	56	24	individually	individually	ADV
iajs-3102	56	25	by	by	ADP
iajs-3102	56	26	the	the	DET
iajs-3102	56	27	subject	subject	ADJ
iajs-3102	56	28	teacher	teacher	NOUN
iajs-3102	56	29	,	,	PUNCT
iajs-3102	56	30	asking	ask	VERB
iajs-3102	56	31	them	they	PRON
iajs-3102	56	32	to	to	PART
iajs-3102	56	33	read	read	VERB
iajs-3102	56	34	the	the	DET
iajs-3102	56	35	whole	whole	ADJ
iajs-3102	56	36	passage	passage	NOUN
iajs-3102	56	37	out	out	ADV
iajs-3102	56	38	loud	loud	ADV
iajs-3102	56	39	.	.	PUNCT
iajs-3102	57	1	the	the	DET
iajs-3102	57	2	subject	subject	ADJ
iajs-3102	57	3	teacher	teacher	NOUN
iajs-3102	57	4	timed	time	VERB
iajs-3102	57	5	the	the	DET
iajs-3102	57	6	oral	oral	ADJ
iajs-3102	57	7	reading	reading	NOUN
iajs-3102	57	8	of	of	ADP
iajs-3102	57	9	each	each	DET
iajs-3102	57	10	participant	participant	NOUN
iajs-3102	57	11	at	at	ADP
iajs-3102	57	12	a	a	DET
iajs-3102	57	13	time	time	NOUN
iajs-3102	57	14	,	,	PUNCT
iajs-3102	57	15	and	and	CCONJ
iajs-3102	57	16	their	their	PRON
iajs-3102	57	17	errors	error	NOUN
iajs-3102	57	18	were	be	AUX
iajs-3102	57	19	highlighted	highlight	VERB
iajs-3102	57	20	on	on	ADP
iajs-3102	57	21	the	the	DET
iajs-3102	57	22	printed	print	VERB
iajs-3102	57	23	text	text	NOUN
iajs-3102	57	24	sheets	sheet	NOUN
iajs-3102	57	25	.	.	PUNCT
iajs-3102	58	1	the	the	DET
iajs-3102	58	2	work	work	NOUN
iajs-3102	58	3	of	of	ADP
iajs-3102	58	4	rasinski	rasinski	NOUN
iajs-3102	58	5	[	[	X
iajs-3102	58	6	3	3	X
iajs-3102	58	7	]	]	PUNCT
iajs-3102	58	8	illustrates	illustrate	VERB
iajs-3102	58	9	the	the	DET
iajs-3102	58	10	procedure	procedure	NOUN
iajs-3102	58	11	for	for	ADP
iajs-3102	58	12	calculating	calculate	VERB
iajs-3102	58	13	reading	reading	NOUN
iajs-3102	58	14	accuracy	accuracy	NOUN
iajs-3102	58	15	and	and	CCONJ
iajs-3102	58	16	reading	reading	NOUN
iajs-3102	58	17	rate	rate	NOUN
iajs-3102	58	18	(	(	PUNCT
iajs-3102	58	19	speed	speed	NOUN
iajs-3102	58	20	)	)	PUNCT
iajs-3102	58	21	as	as	ADP
iajs-3102	58	22	wcpm	wcpm	PROPN
iajs-3102	58	23	.	.	PUNCT
iajs-3102	59	1	to	to	PART
iajs-3102	59	2	measure	measure	VERB
iajs-3102	59	3	the	the	DET
iajs-3102	59	4	wcpm	wcpm	NOUN
iajs-3102	59	5	,	,	PUNCT
iajs-3102	59	6	several	several	ADJ
iajs-3102	59	7	calculations	calculation	NOUN
iajs-3102	59	8	such	such	ADJ
iajs-3102	59	9	as	as	ADP
iajs-3102	59	10	the	the	DET
iajs-3102	59	11	number	number	NOUN
iajs-3102	59	12	of	of	ADP
iajs-3102	59	13	errors	error	NOUN
iajs-3102	59	14	,	,	PUNCT
iajs-3102	59	15	the	the	DET
iajs-3102	59	16	number	number	NOUN
iajs-3102	59	17	of	of	ADP
iajs-3102	59	18	words	word	NOUN
iajs-3102	59	19	read	read	VERB
iajs-3102	59	20	correctly	correctly	ADV
iajs-3102	59	21	,	,	PUNCT
iajs-3102	59	22	and	and	CCONJ
iajs-3102	59	23	the	the	DET
iajs-3102	59	24	total	total	ADJ
iajs-3102	59	25	reading	reading	NOUN
iajs-3102	59	26	time	time	NOUN
iajs-3102	59	27	(	(	PUNCT
iajs-3102	59	28	converting	convert	VERB
iajs-3102	59	29	the	the	DET
iajs-3102	59	30	readers	reader	NOUN
iajs-3102	59	31	’	’	PART
iajs-3102	59	32	time	time	NOUN
iajs-3102	59	33	of	of	ADP
iajs-3102	59	34	reading	read	VERB
iajs-3102	59	35	the	the	DET
iajs-3102	59	36	passage	passage	NOUN
iajs-3102	59	37	from	from	ADP
iajs-3102	59	38	minutes	minute	NOUN
iajs-3102	59	39	into	into	ADP
iajs-3102	59	40	seconds	second	NOUN
iajs-3102	59	41	and	and	CCONJ
iajs-3102	59	42	then	then	ADV
iajs-3102	59	43	into	into	ADP
iajs-3102	59	44	decimals	decimal	NOUN
iajs-3102	59	45	)	)	PUNCT
iajs-3102	59	46	are	be	AUX
iajs-3102	59	47	also	also	ADV
iajs-3102	59	48	required	require	VERB
iajs-3102	59	49	to	to	PART
iajs-3102	59	50	be	be	AUX
iajs-3102	59	51	done	do	VERB
iajs-3102	59	52	to	to	PART
iajs-3102	59	53	assess	assess	VERB
iajs-3102	59	54	the	the	DET
iajs-3102	59	55	accuracy	accuracy	NOUN
iajs-3102	59	56	percentage	percentage	NOUN
iajs-3102	59	57	and	and	CCONJ
iajs-3102	59	58	the	the	DET
iajs-3102	59	59	wcpm	wcpm	NOUN
iajs-3102	59	60	of	of	ADP
iajs-3102	59	61	a	a	DET
iajs-3102	59	62	particular	particular	ADJ
iajs-3102	59	63	reader	reader	NOUN
iajs-3102	59	64	.	.	PUNCT
iajs-3102	60	1	the	the	DET
iajs-3102	60	2	table	table	NOUN
iajs-3102	60	3	below	below	ADV
iajs-3102	60	4	shows	show	VERB
iajs-3102	60	5	the	the	DET
iajs-3102	60	6	procedure	procedure	NOUN
iajs-3102	60	7	for	for	ADP
iajs-3102	60	8	calculating	calculate	VERB
iajs-3102	60	9	each	each	PRON
iajs-3102	60	10	of	of	ADP
iajs-3102	60	11	the	the	DET
iajs-3102	60	12	abovementioned	abovementioned	ADJ
iajs-3102	60	13	aspects	aspect	NOUN
iajs-3102	60	14	:	:	PUNCT
iajs-3102	60	15	table1	table1	PROPN
iajs-3102	60	16	.	.	PUNCT
iajs-3102	61	1	the	the	DET
iajs-3102	61	2	process	process	NOUN
iajs-3102	61	3	of	of	ADP
iajs-3102	61	4	calculating	calculate	VERB
iajs-3102	61	5	wcpm	wcpm	PROPN
iajs-3102	61	6	#	#	NOUN
iajs-3102	61	7	aspects	aspect	NOUN
iajs-3102	61	8	formulas	formula	NOUN
iajs-3102	61	9	1	1	NUM
iajs-3102	61	10	words	word	NOUN
iajs-3102	61	11	read	read	VERB
iajs-3102	61	12	correctly	correctly	ADV
iajs-3102	61	13	total	total	ADJ
iajs-3102	61	14	number	number	NOUN
iajs-3102	61	15	of	of	ADP
iajs-3102	61	16	words	word	NOUN
iajs-3102	61	17	−	−	PROPN
iajs-3102	61	18	the	the	DET
iajs-3102	61	19	number	number	NOUN
iajs-3102	61	20	of	of	ADP
iajs-3102	61	21	errors	error	NOUN
iajs-3102	61	22	made	make	VERB
iajs-3102	61	23	2	2	NUM
iajs-3102	61	24	total	total	ADJ
iajs-3102	61	25	reading	reading	NOUN
iajs-3102	61	26	time	time	NOUN
iajs-3102	61	27	𝑇ℎ𝑒	𝑇ℎ𝑒	PROPN
iajs-3102	61	28	𝑛𝑢𝑚𝑏𝑒𝑟	𝑛𝑢𝑚𝑏𝑒𝑟	X
iajs-3102	61	29	𝑜𝑓	𝑜𝑓	X
iajs-3102	61	30	𝑠𝑒𝑐𝑜𝑛𝑑𝑠	𝑠𝑒𝑐𝑜𝑛𝑑𝑠	VERB
iajs-3102	61	31	60	60	NUM
iajs-3102	61	32	3	3	NUM
iajs-3102	61	33	reading	reading	NOUN
iajs-3102	61	34	rate	rate	NOUN
iajs-3102	61	35	wcpm	wcpm	VERB
iajs-3102	61	36	the	the	DET
iajs-3102	61	37	number	number	NOUN
iajs-3102	61	38	of	of	ADP
iajs-3102	61	39	words	word	NOUN
iajs-3102	61	40	read	read	VERB
iajs-3102	61	41	correctly	correctly	ADV
iajs-3102	61	42	the	the	DET
iajs-3102	61	43	total	total	ADJ
iajs-3102	61	44	reading	reading	NOUN
iajs-3102	61	45	time	time	NOUN
iajs-3102	61	46	accordingly	accordingly	ADV
iajs-3102	61	47	,	,	PUNCT
iajs-3102	61	48	their	their	PRON
iajs-3102	61	49	calculated	calculate	VERB
iajs-3102	61	50	scores	score	NOUN
iajs-3102	61	51	of	of	ADP
iajs-3102	61	52	wcpm	wcpm	PROPN
iajs-3102	61	53	were	be	AUX
iajs-3102	61	54	classified	classify	VERB
iajs-3102	61	55	according	accord	VERB
iajs-3102	61	56	to	to	ADP
iajs-3102	61	57	the	the	DET
iajs-3102	61	58	four	four	NUM
iajs-3102	61	59	classifications	classification	NOUN
iajs-3102	61	60	of	of	ADP
iajs-3102	61	61	the	the	DET
iajs-3102	61	62	corfs	corfs	NOUN
iajs-3102	61	63	model	model	NOUN
iajs-3102	61	64	[	[	X
iajs-3102	61	65	4	4	NUM
iajs-3102	61	66	]	]	PUNCT
iajs-3102	61	67	,	,	PUNCT
iajs-3102	61	68	because	because	SCONJ
iajs-3102	61	69	it	it	PRON
iajs-3102	61	70	is	be	AUX
iajs-3102	61	71	the	the	DET
iajs-3102	61	72	only	only	ADJ
iajs-3102	61	73	model	model	NOUN
iajs-3102	61	74	that	that	PRON
iajs-3102	61	75	classifies	classify	VERB
iajs-3102	61	76	readers	reader	NOUN
iajs-3102	61	77	’	'	PUNCT
iajs-3102	61	78	wcpm	wcpm	VERB
iajs-3102	61	79	into	into	ADP
iajs-3102	61	80	four	four	NUM
iajs-3102	61	81	different	different	ADJ
iajs-3102	61	82	levels	level	NOUN
iajs-3102	61	83	with	with	ADP
iajs-3102	61	84	a	a	DET
iajs-3102	61	85	specific	specific	ADJ
iajs-3102	61	86	number	number	NOUN
iajs-3102	61	87	of	of	ADP
iajs-3102	61	88	words	word	NOUN
iajs-3102	61	89	for	for	ADP
iajs-3102	61	90	each	each	DET
iajs-3102	61	91	category	category	NOUN
iajs-3102	61	92	.	.	PUNCT
iajs-3102	62	1	the	the	DET
iajs-3102	62	2	table	table	NOUN
iajs-3102	62	3	below	below	ADV
iajs-3102	62	4	shows	show	VERB
iajs-3102	62	5	the	the	DET
iajs-3102	62	6	corfs	corfs	PROPN
iajs-3102	62	7	scale	scale	NOUN
iajs-3102	62	8	.	.	PUNCT
iajs-3102	63	1	table	table	NOUN
iajs-3102	63	2	2	2	NUM
iajs-3102	63	3	.	.	PUNCT
iajs-3102	64	1	the	the	DET
iajs-3102	64	2	corfs	corfs	NOUN
iajs-3102	64	3	classification	classification	NOUN
iajs-3102	64	4	of	of	ADP
iajs-3102	64	5	wcpm	wcpm	PROPN
iajs-3102	64	6	ihjpas	ihjpas	PROPN
iajs-3102	64	7	.	.	PUNCT
iajs-3102	65	1	36(1)2023	36(1)2023	NUM
iajs-3102	65	2	453	453	NUM
iajs-3102	65	3	corfs	corfs	NOUN
iajs-3102	65	4	classifications	classification	NOUN
iajs-3102	65	5	of	of	ADP
iajs-3102	65	6	wcpm	wcpm	PROPN
iajs-3102	65	7	levels	level	NOUN
iajs-3102	65	8	137	137	NUM
iajs-3102	65	9	+	+	CCONJ
iajs-3102	65	10	skilled	skilled	ADJ
iajs-3102	65	11	reader	reader	NOUN
iajs-3102	65	12	107	107	NUM
iajs-3102	65	13	136	136	NUM
iajs-3102	65	14	moderate	moderate	ADJ
iajs-3102	65	15	reader	reader	NOUN
iajs-3102	65	16	78	78	NUM
iajs-3102	65	17	106	106	NUM
iajs-3102	65	18	non	non	ADJ
iajs-3102	65	19	-	-	ADJ
iajs-3102	65	20	fluent	fluent	ADJ
iajs-3102	65	21	reader2	reader2	X
iajs-3102	65	22	1	1	NUM
iajs-3102	65	23	78	78	NUM
iajs-3102	65	24	non	non	ADJ
iajs-3102	65	25	-	-	ADJ
iajs-3102	65	26	fluent	fluent	ADJ
iajs-3102	65	27	reader1	reader1	NOUN
iajs-3102	65	28	2.3	2.3	NUM
iajs-3102	65	29	machine	machine	NOUN
iajs-3102	65	30	learning	learn	VERB
iajs-3102	65	31	algorithms	algorithm	NOUN
iajs-3102	65	32	:	:	PUNCT
iajs-3102	65	33	2.3.1	2.3.1	NUM
iajs-3102	65	34	k	k	NOUN
iajs-3102	65	35	-	-	PUNCT
iajs-3102	65	36	nearest	near	ADJ
iajs-3102	65	37	neighbor	neighbor	NOUN
iajs-3102	65	38	classifier	classifier	NOUN
iajs-3102	65	39	the	the	DET
iajs-3102	65	40	k	k	NOUN
iajs-3102	65	41	-	-	PUNCT
iajs-3102	65	42	nearest	near	ADJ
iajs-3102	65	43	neighbor	neighbor	NOUN
iajs-3102	65	44	(	(	PUNCT
iajs-3102	65	45	knn	knn	PROPN
iajs-3102	65	46	)	)	PUNCT
iajs-3102	65	47	is	be	AUX
iajs-3102	65	48	considered	consider	VERB
iajs-3102	65	49	one	one	NUM
iajs-3102	65	50	of	of	ADP
iajs-3102	65	51	the	the	DET
iajs-3102	65	52	simplest	simple	ADJ
iajs-3102	65	53	algorithms	algorithms	NOUN
iajs-3102	65	54	in	in	ADP
iajs-3102	65	55	supervised	supervised	ADJ
iajs-3102	65	56	machine	machine	NOUN
iajs-3102	65	57	learning	learning	NOUN
iajs-3102	65	58	.	.	PUNCT
iajs-3102	66	1	it	it	PRON
iajs-3102	66	2	is	be	AUX
iajs-3102	66	3	based	base	VERB
iajs-3102	66	4	on	on	ADP
iajs-3102	66	5	the	the	DET
iajs-3102	66	6	idea	idea	NOUN
iajs-3102	66	7	that	that	SCONJ
iajs-3102	66	8	similar	similar	ADJ
iajs-3102	66	9	samples	sample	NOUN
iajs-3102	66	10	are	be	AUX
iajs-3102	66	11	often	often	ADV
iajs-3102	66	12	found	find	VERB
iajs-3102	66	13	in	in	ADP
iajs-3102	66	14	close	close	ADJ
iajs-3102	66	15	proximity	proximity	NOUN
iajs-3102	66	16	.	.	PUNCT
iajs-3102	67	1	the	the	DET
iajs-3102	67	2	knn	knn	PROPN
iajs-3102	67	3	algorithm	algorithm	PROPN
iajs-3102	67	4	is	be	AUX
iajs-3102	67	5	an	an	DET
iajs-3102	67	6	instance	instance	NOUN
iajs-3102	67	7	-	-	PUNCT
iajs-3102	67	8	based	base	VERB
iajs-3102	67	9	machine	machine	NOUN
iajs-3102	67	10	learning	learning	NOUN
iajs-3102	67	11	model	model	NOUN
iajs-3102	67	12	.	.	PUNCT
iajs-3102	68	1	instance	instance	NOUN
iajs-3102	68	2	-	-	PUNCT
iajs-3102	68	3	based	base	VERB
iajs-3102	68	4	learning	learning	NOUN
iajs-3102	68	5	is	be	AUX
iajs-3102	68	6	also	also	ADV
iajs-3102	68	7	known	know	VERB
iajs-3102	68	8	as	as	ADP
iajs-3102	68	9	a	a	DET
iajs-3102	68	10	"	"	PUNCT
iajs-3102	68	11	lazy	lazy	ADJ
iajs-3102	68	12	learner	learner	NOUN
iajs-3102	68	13	"	"	PUNCT
iajs-3102	68	14	algorithm	algorithm	NOUN
iajs-3102	68	15	because	because	SCONJ
iajs-3102	68	16	it	it	PRON
iajs-3102	68	17	keeps	keep	VERB
iajs-3102	68	18	the	the	DET
iajs-3102	68	19	whole	whole	ADJ
iajs-3102	68	20	training	training	NOUN
iajs-3102	68	21	sample	sample	NOUN
iajs-3102	68	22	and	and	CCONJ
iajs-3102	68	23	does	do	AUX
iajs-3102	68	24	not	not	PART
iajs-3102	68	25	create	create	VERB
iajs-3102	68	26	a	a	DET
iajs-3102	68	27	classifier	classifier	NOUN
iajs-3102	68	28	until	until	SCONJ
iajs-3102	68	29	a	a	DET
iajs-3102	68	30	newer	new	ADJ
iajs-3102	68	31	and	and	CCONJ
iajs-3102	68	32	unlabeled	unlabeled	ADJ
iajs-3102	68	33	sample	sample	NOUN
iajs-3102	68	34	wants	want	VERB
iajs-3102	68	35	to	to	PART
iajs-3102	68	36	be	be	AUX
iajs-3102	68	37	categorized	categorize	VERB
iajs-3102	68	38	.	.	PUNCT
iajs-3102	69	1	during	during	ADP
iajs-3102	69	2	the	the	DET
iajs-3102	69	3	training	training	NOUN
iajs-3102	69	4	stage	stage	NOUN
iajs-3102	69	5	,	,	PUNCT
iajs-3102	69	6	the	the	DET
iajs-3102	69	7	algorithms	algorithm	NOUN
iajs-3102	69	8	of	of	ADP
iajs-3102	69	9	lazy	lazy	ADJ
iajs-3102	69	10	learners	learner	NOUN
iajs-3102	69	11	request	request	VERB
iajs-3102	69	12	less	less	ADV
iajs-3102	69	13	computing	computing	NOUN
iajs-3102	69	14	time	time	NOUN
iajs-3102	69	15	than	than	ADP
iajs-3102	69	16	the	the	DET
iajs-3102	69	17	algorithms	algorithm	NOUN
iajs-3102	69	18	of	of	ADP
iajs-3102	69	19	eager	eager	ADJ
iajs-3102	69	20	learners	learner	NOUN
iajs-3102	69	21	,	,	PUNCT
iajs-3102	69	22	like	like	ADP
iajs-3102	69	23	decision	decision	NOUN
iajs-3102	69	24	trees	tree	NOUN
iajs-3102	69	25	,	,	PUNCT
iajs-3102	69	26	bayes	bayes	PROPN
iajs-3102	69	27	networks	network	NOUN
iajs-3102	69	28	,	,	PUNCT
iajs-3102	69	29	and	and	CCONJ
iajs-3102	69	30	neural	neural	ADJ
iajs-3102	69	31	networks	network	NOUN
iajs-3102	69	32	,	,	PUNCT
iajs-3102	69	33	but	but	CCONJ
iajs-3102	69	34	extra	extra	ADJ
iajs-3102	69	35	calculation	calculation	NOUN
iajs-3102	69	36	time	time	NOUN
iajs-3102	69	37	is	be	AUX
iajs-3102	69	38	required	require	VERB
iajs-3102	69	39	for	for	ADP
iajs-3102	69	40	the	the	DET
iajs-3102	69	41	classification	classification	NOUN
iajs-3102	69	42	stage	stage	NOUN
iajs-3102	69	43	[	[	X
iajs-3102	69	44	14	14	NUM
iajs-3102	69	45	]	]	PUNCT
iajs-3102	69	46	.	.	PUNCT
iajs-3102	70	1	knn	knn	PROPN
iajs-3102	70	2	classifiers	classifier	NOUN
iajs-3102	70	3	rely	rely	VERB
iajs-3102	70	4	on	on	ADP
iajs-3102	70	5	similarity	similarity	NOUN
iajs-3102	70	6	learning	learning	NOUN
iajs-3102	70	7	.	.	PUNCT
iajs-3102	71	1	similarity	similarity	NOUN
iajs-3102	71	2	learning	learning	NOUN
iajs-3102	71	3	involves	involve	VERB
iajs-3102	71	4	comparing	compare	VERB
iajs-3102	71	5	a	a	DET
iajs-3102	71	6	given	give	VERB
iajs-3102	71	7	test	test	NOUN
iajs-3102	71	8	sample	sample	NOUN
iajs-3102	71	9	to	to	ADP
iajs-3102	71	10	the	the	DET
iajs-3102	71	11	available	available	ADJ
iajs-3102	71	12	training	training	NOUN
iajs-3102	71	13	samples	sample	NOUN
iajs-3102	71	14	that	that	PRON
iajs-3102	71	15	are	be	AUX
iajs-3102	71	16	similar	similar	ADJ
iajs-3102	71	17	to	to	ADP
iajs-3102	71	18	it	it	PRON
iajs-3102	71	19	.	.	PUNCT
iajs-3102	72	1	to	to	PART
iajs-3102	72	2	classify	classify	VERB
iajs-3102	72	3	a	a	DET
iajs-3102	72	4	data	data	NOUN
iajs-3102	72	5	sample	sample	NOUN
iajs-3102	72	6	x	x	NOUN
iajs-3102	72	7	,	,	PUNCT
iajs-3102	72	8	its	its	PRON
iajs-3102	72	9	knearest	knearest	NOUN
iajs-3102	72	10	neighbors	neighbor	NOUN
iajs-3102	72	11	are	be	AUX
iajs-3102	72	12	found	find	VERB
iajs-3102	72	13	,	,	PUNCT
iajs-3102	72	14	and	and	CCONJ
iajs-3102	72	15	then	then	ADV
iajs-3102	72	16	x	x	PUNCT
iajs-3102	72	17	is	be	AUX
iajs-3102	72	18	allocated	allocate	VERB
iajs-3102	72	19	to	to	ADP
iajs-3102	72	20	the	the	DET
iajs-3102	72	21	class	class	NOUN
iajs-3102	72	22	label	label	NOUN
iajs-3102	72	23	to	to	PART
iajs-3102	72	24	which	which	PRON
iajs-3102	72	25	the	the	DET
iajs-3102	72	26	majority	majority	NOUN
iajs-3102	72	27	of	of	ADP
iajs-3102	72	28	its	its	PRON
iajs-3102	72	29	neighbors	neighbor	NOUN
iajs-3102	72	30	belong	belong	VERB
iajs-3102	72	31	.	.	PUNCT
iajs-3102	73	1	the	the	DET
iajs-3102	73	2	performance	performance	NOUN
iajs-3102	73	3	of	of	ADP
iajs-3102	73	4	the	the	DET
iajs-3102	73	5	knn	knn	PROPN
iajs-3102	73	6	classifier	classifier	PROPN
iajs-3102	73	7	is	be	AUX
iajs-3102	73	8	also	also	ADV
iajs-3102	73	9	affected	affect	VERB
iajs-3102	73	10	by	by	ADP
iajs-3102	73	11	the	the	DET
iajs-3102	73	12	value	value	NOUN
iajs-3102	73	13	of	of	ADP
iajs-3102	73	14	k.	k.	PROPN
iajs-3102	73	15	a	a	DET
iajs-3102	73	16	very	very	ADV
iajs-3102	73	17	small	small	ADJ
iajs-3102	73	18	value	value	NOUN
iajs-3102	73	19	of	of	ADP
iajs-3102	73	20	k	k	PROPN
iajs-3102	73	21	may	may	AUX
iajs-3102	73	22	lead	lead	VERB
iajs-3102	73	23	to	to	ADP
iajs-3102	73	24	the	the	DET
iajs-3102	73	25	knn	knn	PROPN
iajs-3102	73	26	classifier	classifier	PROPN
iajs-3102	73	27	being	be	AUX
iajs-3102	73	28	susceptible	susceptible	ADJ
iajs-3102	73	29	to	to	ADP
iajs-3102	73	30	over	over	ADP
iajs-3102	73	31	fitting	fitting	ADJ
iajs-3102	73	32	due	due	ADJ
iajs-3102	73	33	to	to	ADP
iajs-3102	73	34	noise	noise	NOUN
iajs-3102	73	35	in	in	ADP
iajs-3102	73	36	the	the	DET
iajs-3102	73	37	training	training	NOUN
iajs-3102	73	38	dataset	dataset	NOUN
iajs-3102	73	39	.	.	PUNCT
iajs-3102	74	1	however	however	ADV
iajs-3102	74	2	,	,	PUNCT
iajs-3102	74	3	a	a	DET
iajs-3102	74	4	very	very	ADV
iajs-3102	74	5	high	high	ADJ
iajs-3102	74	6	value	value	NOUN
iajs-3102	74	7	of	of	ADP
iajs-3102	74	8	k	k	PROPN
iajs-3102	74	9	may	may	AUX
iajs-3102	74	10	lead	lead	VERB
iajs-3102	74	11	the	the	DET
iajs-3102	74	12	knn	knn	PROPN
iajs-3102	74	13	classifier	classifier	NOUN
iajs-3102	74	14	to	to	PART
iajs-3102	74	15	misclassify	misclassify	VERB
iajs-3102	74	16	the	the	DET
iajs-3102	74	17	test	test	NOUN
iajs-3102	74	18	sample	sample	NOUN
iajs-3102	74	19	because	because	SCONJ
iajs-3102	74	20	its	its	PRON
iajs-3102	74	21	list	list	NOUN
iajs-3102	74	22	of	of	ADP
iajs-3102	74	23	nearest	near	ADJ
iajs-3102	74	24	neighbors	neighbor	NOUN
iajs-3102	74	25	includes	include	VERB
iajs-3102	74	26	data	datum	NOUN
iajs-3102	74	27	that	that	PRON
iajs-3102	74	28	are	be	AUX
iajs-3102	74	29	set	set	VERB
iajs-3102	74	30	far	far	ADV
iajs-3102	74	31	away	away	ADV
iajs-3102	74	32	from	from	ADP
iajs-3102	74	33	its	its	PRON
iajs-3102	74	34	neighbors	neighbor	NOUN
iajs-3102	74	35	.	.	PUNCT
iajs-3102	75	1	k	k	X
iajs-3102	75	2	-	-	PUNCT
iajs-3102	75	3	nn	nn	PROPN
iajs-3102	75	4	is	be	AUX
iajs-3102	75	5	based	base	VERB
iajs-3102	75	6	on	on	ADP
iajs-3102	75	7	the	the	DET
iajs-3102	75	8	assumption	assumption	NOUN
iajs-3102	75	9	that	that	SCONJ
iajs-3102	75	10	data	datum	NOUN
iajs-3102	75	11	is	be	AUX
iajs-3102	75	12	related	relate	VERB
iajs-3102	75	13	in	in	ADP
iajs-3102	75	14	a	a	DET
iajs-3102	75	15	feature	feature	NOUN
iajs-3102	75	16	space	space	NOUN
iajs-3102	75	17	.	.	PUNCT
iajs-3102	76	1	as	as	ADP
iajs-3102	76	2	a	a	DET
iajs-3102	76	3	result	result	NOUN
iajs-3102	76	4	,	,	PUNCT
iajs-3102	76	5	all	all	DET
iajs-3102	76	6	points	point	NOUN
iajs-3102	76	7	are	be	AUX
iajs-3102	76	8	examined	examine	VERB
iajs-3102	76	9	in	in	ADP
iajs-3102	76	10	order	order	NOUN
iajs-3102	76	11	to	to	PART
iajs-3102	76	12	calculate	calculate	VERB
iajs-3102	76	13	the	the	DET
iajs-3102	76	14	distance	distance	NOUN
iajs-3102	76	15	between	between	ADP
iajs-3102	76	16	the	the	DET
iajs-3102	76	17	data	data	NOUN
iajs-3102	76	18	points	point	NOUN
iajs-3102	76	19	.	.	PUNCT
iajs-3102	77	1	the	the	DET
iajs-3102	77	2	similarity	similarity	NOUN
iajs-3102	77	3	between	between	ADP
iajs-3102	77	4	the	the	DET
iajs-3102	77	5	datapoints	datapoint	NOUN
iajs-3102	77	6	is	be	AUX
iajs-3102	77	7	calculated	calculate	VERB
iajs-3102	77	8	using	use	VERB
iajs-3102	77	9	a	a	DET
iajs-3102	77	10	distance	distance	NOUN
iajs-3102	77	11	metric	metric	ADJ
iajs-3102	77	12	,	,	PUNCT
iajs-3102	77	13	such	such	ADJ
iajs-3102	77	14	as	as	ADP
iajs-3102	77	15	euclidean	euclidean	ADJ
iajs-3102	77	16	distance	distance	NOUN
iajs-3102	77	17	.	.	PUNCT
iajs-3102	78	1	hamming	hamming	NOUN
iajs-3102	78	2	distance	distance	NOUN
iajs-3102	78	3	or	or	CCONJ
iajs-3102	78	4	euclidian	euclidian	ADJ
iajs-3102	78	5	distance	distance	NOUN
iajs-3102	78	6	is	be	AUX
iajs-3102	78	7	utilized	utilize	VERB
iajs-3102	78	8	based	base	VERB
iajs-3102	78	9	on	on	ADP
iajs-3102	78	10	the	the	DET
iajs-3102	78	11	data	data	NOUN
iajs-3102	78	12	type	type	NOUN
iajs-3102	78	13	of	of	ADP
iajs-3102	78	14	the	the	DET
iajs-3102	78	15	data	datum	NOUN
iajs-3102	78	16	classes	class	NOUN
iajs-3102	78	17	used	use	VERB
iajs-3102	78	18	[	[	PUNCT
iajs-3102	78	19	15	15	NUM
iajs-3102	78	20	]	]	PUNCT
iajs-3102	78	21	.	.	PUNCT
iajs-3102	79	1	the	the	DET
iajs-3102	79	2	below	below	ADP
iajs-3102	79	3	equation	equation	NOUN
iajs-3102	79	4	presents	present	VERB
iajs-3102	79	5	the	the	DET
iajs-3102	79	6	general	general	ADJ
iajs-3102	79	7	form	form	NOUN
iajs-3102	79	8	of	of	ADP
iajs-3102	79	9	the	the	DET
iajs-3102	79	10	euclidean	euclidean	ADJ
iajs-3102	79	11	distance	distance	NOUN
iajs-3102	79	12	.	.	PUNCT
iajs-3102	80	1	the	the	DET
iajs-3102	80	2	euclidean	euclidean	ADJ
iajs-3102	80	3	distance	distance	NOUN
iajs-3102	80	4	is	be	AUX
iajs-3102	80	5	a	a	DET
iajs-3102	80	6	distance	distance	NOUN
iajs-3102	80	7	measurement	measurement	NOUN
iajs-3102	80	8	between	between	ADP
iajs-3102	80	9	two	two	NUM
iajs-3102	80	10	points	point	NOUN
iajs-3102	80	11	.	.	PUNCT
iajs-3102	81	1	the	the	DET
iajs-3102	81	2	similarity	similarity	NOUN
iajs-3102	81	3	between	between	ADP
iajs-3102	81	4	d1	d1	PROPN
iajs-3102	81	5	and	and	CCONJ
iajs-3102	81	6	d2	d2	PROPN
iajs-3102	81	7	is	be	AUX
iajs-3102	81	8	between	between	ADP
iajs-3102	81	9	0	0	NUM
iajs-3102	81	10	and	and	CCONJ
iajs-3102	81	11	1	1	NUM
iajs-3102	81	12	;	;	PUNCT
iajs-3102	81	13	smaller	small	ADJ
iajs-3102	81	14	values	value	NOUN
iajs-3102	81	15	indicate	indicate	VERB
iajs-3102	81	16	lower	low	ADJ
iajs-3102	81	17	similarity	similarity	NOUN
iajs-3102	81	18	,	,	PUNCT
iajs-3102	81	19	while	while	SCONJ
iajs-3102	81	20	larger	large	ADJ
iajs-3102	81	21	numbers	number	NOUN
iajs-3102	81	22	indicate	indicate	VERB
iajs-3102	81	23	greater	great	ADJ
iajs-3102	81	24	similarity	similarity	NOUN
iajs-3102	81	25	.	.	PUNCT
iajs-3102	82	1	𝐸(𝑥	𝐸(𝑥	NOUN
iajs-3102	82	2	,	,	PUNCT
iajs-3102	82	3	𝑦	𝑦	NOUN
iajs-3102	82	4	)	)	PUNCT
iajs-3102	82	5	=	=	PRON
iajs-3102	82	6	√∑	√∑	PUNCT
iajs-3102	82	7	(	(	PUNCT
iajs-3102	82	8	𝑥𝑖	𝑥𝑖	ADP
iajs-3102	82	9	𝑛	𝑛	PRON
iajs-3102	82	10	𝑖=1	𝑖=1	PROPN
iajs-3102	83	1	−	−	PROPN
iajs-3102	83	2	𝑦𝑖)2	𝑦𝑖)2	PROPN
iajs-3102	83	3	(	(	PUNCT
iajs-3102	83	4	1	1	NUM
iajs-3102	83	5	)	)	PUNCT
iajs-3102	83	6	where	where	SCONJ
iajs-3102	83	7	n	n	PRON
iajs-3102	83	8	is	be	AUX
iajs-3102	83	9	the	the	DET
iajs-3102	83	10	number	number	NOUN
iajs-3102	83	11	of	of	ADP
iajs-3102	83	12	attributes	attribute	NOUN
iajs-3102	83	13	and	and	CCONJ
iajs-3102	83	14	𝑥𝑖	𝑥𝑖	PROPN
iajs-3102	83	15	and	and	CCONJ
iajs-3102	83	16	𝑦𝑖	𝑦𝑖	PROPN
iajs-3102	83	17	are	be	AUX
iajs-3102	83	18	the	the	DET
iajs-3102	83	19	k	k	NOUN
iajs-3102	83	20	-	-	PUNCT
iajs-3102	83	21	th	th	VERB
iajs-3102	83	22	attributes	attribute	NOUN
iajs-3102	83	23	.	.	PUNCT
iajs-3102	84	1	as	as	SCONJ
iajs-3102	84	2	seen	see	VERB
iajs-3102	84	3	in	in	ADP
iajs-3102	84	4	figure	figure	NOUN
iajs-3102	84	5	1	1	NUM
iajs-3102	84	6	,	,	PUNCT
iajs-3102	84	7	the	the	DET
iajs-3102	84	8	following	follow	VERB
iajs-3102	84	9	example	example	NOUN
iajs-3102	84	10	illustrates	illustrate	VERB
iajs-3102	84	11	three	three	NUM
iajs-3102	84	12	classes	class	NOUN
iajs-3102	84	13	:	:	PUNCT
iajs-3102	84	14	x	x	X
iajs-3102	84	15	,	,	PUNCT
iajs-3102	84	16	y	y	PROPN
iajs-3102	84	17	,	,	PUNCT
iajs-3102	84	18	and	and	CCONJ
iajs-3102	84	19	z.	z.	PROPN
iajs-3102	84	20	it	it	PRON
iajs-3102	84	21	is	be	AUX
iajs-3102	84	22	now	now	ADV
iajs-3102	84	23	necessary	necessary	ADJ
iajs-3102	84	24	to	to	PART
iajs-3102	84	25	determine	determine	VERB
iajs-3102	84	26	the	the	DET
iajs-3102	84	27	class	class	NOUN
iajs-3102	84	28	label	label	NOUN
iajs-3102	84	29	for	for	ADP
iajs-3102	84	30	data	data	NOUN
iajs-3102	84	31	sample	sample	NOUN
iajs-3102	85	1	p.	p.	NOUN
iajs-3102	85	2	the	the	DET
iajs-3102	85	3	euclidean	euclidean	ADJ
iajs-3102	85	4	distance	distance	NOUN
iajs-3102	85	5	and	and	CCONJ
iajs-3102	85	6	the	the	DET
iajs-3102	85	7	value	value	NOUN
iajs-3102	85	8	of	of	ADP
iajs-3102	85	9	k=5	k=5	PROPN
iajs-3102	85	10	are	be	AUX
iajs-3102	85	11	computed	compute	VERB
iajs-3102	85	12	for	for	ADP
iajs-3102	85	13	each	each	DET
iajs-3102	85	14	sample	sample	NOUN
iajs-3102	85	15	pair	pair	NOUN
iajs-3102	85	16	,	,	PUNCT
iajs-3102	85	17	and	and	CCONJ
iajs-3102	85	18	it	it	PRON
iajs-3102	85	19	is	be	AUX
iajs-3102	85	20	discovered	discover	VERB
iajs-3102	85	21	that	that	SCONJ
iajs-3102	85	22	the	the	DET
iajs-3102	85	23	four	four	NUM
iajs-3102	85	24	closest	close	ADJ
iajs-3102	85	25	neighbor	neighbor	NOUN
iajs-3102	85	26	samples	sample	NOUN
iajs-3102	85	27	belong	belong	VERB
iajs-3102	85	28	to	to	ADP
iajs-3102	85	29	class	class	NOUN
iajs-3102	85	30	label	label	NOUN
iajs-3102	85	31	x	x	NOUN
iajs-3102	85	32	,	,	PUNCT
iajs-3102	85	33	whereas	whereas	SCONJ
iajs-3102	85	34	a	a	DET
iajs-3102	85	35	single	single	ADJ
iajs-3102	85	36	tuple	tuple	NOUN
iajs-3102	85	37	belongs	belong	VERB
iajs-3102	85	38	to	to	ADP
iajs-3102	85	39	class	class	NOUN
iajs-3102	85	40	label	label	NOUN
iajs-3102	85	41	z.	z.	PROPN
iajs-3102	85	42	as	as	ADP
iajs-3102	85	43	a	a	DET
iajs-3102	85	44	result	result	NOUN
iajs-3102	85	45	,	,	PUNCT
iajs-3102	85	46	sample	sample	NOUN
iajs-3102	85	47	p	p	NOUN
iajs-3102	85	48	is	be	AUX
iajs-3102	85	49	allocated	allocate	VERB
iajs-3102	85	50	to	to	ADP
iajs-3102	85	51	class	class	NOUN
iajs-3102	85	52	x	x	NOUN
iajs-3102	85	53	because	because	SCONJ
iajs-3102	85	54	it	it	PRON
iajs-3102	85	55	is	be	AUX
iajs-3102	85	56	the	the	DET
iajs-3102	85	57	primary	primary	ADJ
iajs-3102	85	58	class	class	NOUN
iajs-3102	85	59	for	for	ADP
iajs-3102	85	60	that	that	DET
iajs-3102	85	61	sample	sample	NOUN
iajs-3102	86	1	[	[	X
iajs-3102	86	2	16	16	NUM
iajs-3102	86	3	]	]	PUNCT
iajs-3102	86	4	.	.	PUNCT
iajs-3102	87	1	ihjpas	ihjpas	PROPN
iajs-3102	87	2	.	.	PUNCT
iajs-3102	88	1	36(1)2023	36(1)2023	NUM
iajs-3102	88	2	454	454	NUM
iajs-3102	88	3	figure1	figure1	NOUN
iajs-3102	88	4	.	.	PUNCT
iajs-3102	89	1	an	an	DET
iajs-3102	89	2	example	example	NOUN
iajs-3102	89	3	of	of	ADP
iajs-3102	89	4	knn	knn	PROPN
iajs-3102	89	5	classifier	classifier	NOUN
iajs-3102	89	6	for	for	ADP
iajs-3102	89	7	using	use	VERB
iajs-3102	89	8	knn	knn	PROPN
iajs-3102	89	9	for	for	ADP
iajs-3102	89	10	reading	read	VERB
iajs-3102	89	11	rate	rate	NOUN
iajs-3102	89	12	classification	classification	NOUN
iajs-3102	89	13	,	,	PUNCT
iajs-3102	89	14	it	it	PRON
iajs-3102	89	15	considers	consider	VERB
iajs-3102	89	16	the	the	DET
iajs-3102	89	17	feature	feature	NOUN
iajs-3102	89	18	vectors	vector	NOUN
iajs-3102	89	19	(	(	PUNCT
iajs-3102	89	20	number	number	NOUN
iajs-3102	89	21	of	of	ADP
iajs-3102	89	22	errors	error	NOUN
iajs-3102	89	23	,	,	PUNCT
iajs-3102	89	24	the	the	DET
iajs-3102	89	25	number	number	NOUN
iajs-3102	89	26	of	of	ADP
iajs-3102	89	27	words	word	NOUN
iajs-3102	89	28	read	read	VERB
iajs-3102	89	29	correctly	correctly	ADV
iajs-3102	89	30	,	,	PUNCT
iajs-3102	89	31	and	and	CCONJ
iajs-3102	89	32	total	total	ADJ
iajs-3102	89	33	reading	reading	NOUN
iajs-3102	89	34	time	time	NOUN
iajs-3102	89	35	)	)	PUNCT
iajs-3102	89	36	,	,	PUNCT
iajs-3102	89	37	then	then	ADV
iajs-3102	89	38	computes	compute	VERB
iajs-3102	89	39	the	the	DET
iajs-3102	89	40	similarity	similarity	NOUN
iajs-3102	89	41	of	of	ADP
iajs-3102	89	42	each	each	DET
iajs-3102	89	43	neighbor	neighbor	NOUN
iajs-3102	89	44	to	to	ADP
iajs-3102	89	45	the	the	DET
iajs-3102	89	46	test	test	NOUN
iajs-3102	89	47	data	datum	NOUN
iajs-3102	89	48	using	use	VERB
iajs-3102	89	49	euclidean	euclidean	ADJ
iajs-3102	89	50	distance	distance	NOUN
iajs-3102	89	51	.	.	PUNCT
iajs-3102	90	1	the	the	DET
iajs-3102	90	2	euclidean	euclidean	ADJ
iajs-3102	90	3	distance	distance	NOUN
iajs-3102	90	4	calculates	calculate	VERB
iajs-3102	90	5	the	the	DET
iajs-3102	90	6	distance	distance	NOUN
iajs-3102	90	7	between	between	ADP
iajs-3102	90	8	the	the	DET
iajs-3102	90	9	test	test	NOUN
iajs-3102	90	10	data	datum	NOUN
iajs-3102	90	11	and	and	CCONJ
iajs-3102	90	12	all	all	DET
iajs-3102	90	13	wcpm	wcpm	NOUN
iajs-3102	90	14	training	training	NOUN
iajs-3102	90	15	data	datum	NOUN
iajs-3102	90	16	(	(	PUNCT
iajs-3102	90	17	i.e.	i.e.	X
iajs-3102	90	18	,	,	PUNCT
iajs-3102	90	19	each	each	DET
iajs-3102	90	20	row	row	NOUN
iajs-3102	90	21	of	of	ADP
iajs-3102	90	22	training	training	NOUN
iajs-3102	90	23	data	datum	NOUN
iajs-3102	90	24	)	)	PUNCT
iajs-3102	90	25	.	.	PUNCT
iajs-3102	91	1	after	after	ADP
iajs-3102	91	2	calculating	calculate	VERB
iajs-3102	91	3	the	the	DET
iajs-3102	91	4	distance	distance	NOUN
iajs-3102	91	5	between	between	ADP
iajs-3102	91	6	them	they	PRON
iajs-3102	91	7	,	,	PUNCT
iajs-3102	91	8	the	the	DET
iajs-3102	91	9	distance	distance	NOUN
iajs-3102	91	10	is	be	AUX
iajs-3102	91	11	sorted	sort	VERB
iajs-3102	91	12	and	and	CCONJ
iajs-3102	91	13	the	the	DET
iajs-3102	91	14	nearest	near	ADJ
iajs-3102	91	15	neighbors	neighbor	NOUN
iajs-3102	91	16	are	be	AUX
iajs-3102	91	17	determined	determined	ADJ
iajs-3102	91	18	to	to	PART
iajs-3102	91	19	test	test	VERB
iajs-3102	91	20	the	the	DET
iajs-3102	91	21	data	datum	NOUN
iajs-3102	91	22	based	base	VERB
iajs-3102	91	23	on	on	ADP
iajs-3102	91	24	the	the	DET
iajs-3102	91	25	kth	kth	PROPN
iajs-3102	91	26	minimum	minimum	NOUN
iajs-3102	91	27	distance	distance	NOUN
iajs-3102	91	28	.	.	PUNCT
iajs-3102	92	1	2.3.2	2.3.2	NUM
iajs-3102	92	2	decision	decision	NOUN
iajs-3102	92	3	tree	tree	NOUN
iajs-3102	92	4	a	a	DET
iajs-3102	92	5	decision	decision	NOUN
iajs-3102	92	6	tree	tree	NOUN
iajs-3102	92	7	is	be	AUX
iajs-3102	92	8	used	use	VERB
iajs-3102	92	9	as	as	ADP
iajs-3102	92	10	a	a	DET
iajs-3102	92	11	predictive	predictive	ADJ
iajs-3102	92	12	model	model	NOUN
iajs-3102	92	13	in	in	ADP
iajs-3102	92	14	decision	decision	NOUN
iajs-3102	92	15	tree	tree	NOUN
iajs-3102	92	16	learning	learning	NOUN
iajs-3102	92	17	,	,	PUNCT
iajs-3102	92	18	which	which	PRON
iajs-3102	92	19	translates	translate	VERB
iajs-3102	92	20	observations	observation	NOUN
iajs-3102	92	21	about	about	ADP
iajs-3102	92	22	an	an	DET
iajs-3102	92	23	object	object	NOUN
iajs-3102	92	24	into	into	ADP
iajs-3102	92	25	inferences	inference	NOUN
iajs-3102	92	26	about	about	ADP
iajs-3102	92	27	the	the	DET
iajs-3102	92	28	item	item	NOUN
iajs-3102	92	29	's	's	PART
iajs-3102	92	30	goal	goal	NOUN
iajs-3102	92	31	value	value	NOUN
iajs-3102	92	32	.	.	PUNCT
iajs-3102	93	1	the	the	DET
iajs-3102	93	2	algorithm	algorithm	NOUN
iajs-3102	93	3	of	of	ADP
iajs-3102	93	4	a	a	DET
iajs-3102	93	5	decision	decision	NOUN
iajs-3102	93	6	tree	tree	NOUN
iajs-3102	93	7	iteratively	iteratively	ADV
iajs-3102	93	8	splits	split	VERB
iajs-3102	93	9	a	a	DET
iajs-3102	93	10	dataset	dataset	NOUN
iajs-3102	93	11	of	of	ADP
iajs-3102	93	12	records	record	NOUN
iajs-3102	93	13	utilizing	utilize	VERB
iajs-3102	93	14	either	either	CCONJ
iajs-3102	93	15	a	a	DET
iajs-3102	93	16	breadth	breadth	NOUN
iajs-3102	93	17	-	-	PUNCT
iajs-3102	93	18	first	first	ADJ
iajs-3102	93	19	strategy	strategy	NOUN
iajs-3102	93	20	or	or	CCONJ
iajs-3102	93	21	a	a	DET
iajs-3102	93	22	depthfirst	depthfirst	ADJ
iajs-3102	93	23	greedy	greedy	ADJ
iajs-3102	93	24	approach	approach	NOUN
iajs-3102	93	25	until	until	SCONJ
iajs-3102	93	26	all	all	DET
iajs-3102	93	27	data	datum	NOUN
iajs-3102	93	28	items	item	NOUN
iajs-3102	93	29	belong	belong	VERB
iajs-3102	93	30	to	to	ADP
iajs-3102	93	31	a	a	DET
iajs-3102	93	32	certain	certain	ADJ
iajs-3102	93	33	class	class	NOUN
iajs-3102	93	34	.	.	PUNCT
iajs-3102	94	1	the	the	DET
iajs-3102	94	2	structure	structure	NOUN
iajs-3102	94	3	of	of	ADP
iajs-3102	94	4	a	a	DET
iajs-3102	94	5	decision	decision	NOUN
iajs-3102	94	6	tree	tree	NOUN
iajs-3102	94	7	consists	consist	VERB
iajs-3102	94	8	of	of	ADP
iajs-3102	94	9	the	the	DET
iajs-3102	94	10	root	root	NOUN
iajs-3102	94	11	,	,	PUNCT
iajs-3102	94	12	internal	internal	ADJ
iajs-3102	94	13	,	,	PUNCT
iajs-3102	94	14	and	and	CCONJ
iajs-3102	94	15	leaf	leaf	NOUN
iajs-3102	94	16	nodes	node	NOUN
iajs-3102	94	17	.	.	PUNCT
iajs-3102	95	1	it	it	PRON
iajs-3102	95	2	is	be	AUX
iajs-3102	95	3	a	a	DET
iajs-3102	95	4	tree	tree	NOUN
iajs-3102	95	5	structure	structure	NOUN
iajs-3102	95	6	that	that	PRON
iajs-3102	95	7	looks	look	VERB
iajs-3102	95	8	like	like	ADP
iajs-3102	95	9	a	a	DET
iajs-3102	95	10	flow	flow	NOUN
iajs-3102	95	11	chart	chart	NOUN
iajs-3102	95	12	,	,	PUNCT
iajs-3102	95	13	with	with	ADP
iajs-3102	95	14	each	each	DET
iajs-3102	95	15	internal	internal	ADJ
iajs-3102	95	16	node	node	NOUN
iajs-3102	95	17	representing	represent	VERB
iajs-3102	95	18	a	a	DET
iajs-3102	95	19	test	test	NOUN
iajs-3102	95	20	condition	condition	NOUN
iajs-3102	95	21	on	on	ADP
iajs-3102	95	22	an	an	DET
iajs-3102	95	23	attribute	attribute	NOUN
iajs-3102	95	24	,	,	PUNCT
iajs-3102	95	25	each	each	DET
iajs-3102	95	26	branch	branch	NOUN
iajs-3102	95	27	representing	represent	VERB
iajs-3102	95	28	the	the	DET
iajs-3102	95	29	outcome	outcome	NOUN
iajs-3102	95	30	of	of	ADP
iajs-3102	95	31	the	the	DET
iajs-3102	95	32	test	test	NOUN
iajs-3102	95	33	condition	condition	NOUN
iajs-3102	95	34	,	,	PUNCT
iajs-3102	95	35	and	and	CCONJ
iajs-3102	95	36	each	each	DET
iajs-3102	95	37	terminal	terminal	ADJ
iajs-3102	95	38	node	node	NOUN
iajs-3102	95	39	(	(	PUNCT
iajs-3102	95	40	or	or	CCONJ
iajs-3102	95	41	leaf	leaf	NOUN
iajs-3102	95	42	node	node	NOUN
iajs-3102	95	43	)	)	PUNCT
iajs-3102	95	44	specified	specify	VERB
iajs-3102	95	45	as	as	ADP
iajs-3102	95	46	a	a	DET
iajs-3102	95	47	class	class	NOUN
iajs-3102	95	48	label	label	NOUN
iajs-3102	95	49	.	.	PUNCT
iajs-3102	96	1	the	the	DET
iajs-3102	96	2	root	root	NOUN
iajs-3102	96	3	node	node	NOUN
iajs-3102	96	4	is	be	AUX
iajs-3102	96	5	the	the	DET
iajs-3102	96	6	upper	upper	ADJ
iajs-3102	96	7	node	node	NOUN
iajs-3102	96	8	.	.	PUNCT
iajs-3102	97	1	a	a	DET
iajs-3102	97	2	decision	decision	NOUN
iajs-3102	97	3	tree	tree	NOUN
iajs-3102	97	4	is	be	AUX
iajs-3102	97	5	built	build	VERB
iajs-3102	97	6	using	use	VERB
iajs-3102	97	7	a	a	DET
iajs-3102	97	8	divide	divide	NOUN
iajs-3102	97	9	-	-	PUNCT
iajs-3102	97	10	and	and	CCONJ
iajs-3102	97	11	-	-	PUNCT
iajs-3102	97	12	conquer	conquer	NOUN
iajs-3102	97	13	strategy	strategy	NOUN
iajs-3102	97	14	[	[	X
iajs-3102	97	15	17	17	NUM
iajs-3102	97	16	]	]	PUNCT
iajs-3102	97	17	.	.	PUNCT
iajs-3102	98	1	each	each	DET
iajs-3102	98	2	branch	branch	NOUN
iajs-3102	98	3	of	of	ADP
iajs-3102	98	4	the	the	DET
iajs-3102	98	5	decision	decision	NOUN
iajs-3102	98	6	tree	tree	NOUN
iajs-3102	98	7	represents	represent	VERB
iajs-3102	98	8	a	a	DET
iajs-3102	98	9	decision	decision	NOUN
iajs-3102	98	10	rule	rule	NOUN
iajs-3102	98	11	.	.	PUNCT
iajs-3102	99	1	in	in	ADP
iajs-3102	99	2	general	general	ADJ
iajs-3102	99	3	,	,	PUNCT
iajs-3102	99	4	it	it	PRON
iajs-3102	99	5	takes	take	VERB
iajs-3102	99	6	a	a	DET
iajs-3102	99	7	greedy	greedy	ADJ
iajs-3102	99	8	approach	approach	NOUN
iajs-3102	99	9	from	from	ADP
iajs-3102	99	10	the	the	DET
iajs-3102	99	11	top	top	NOUN
iajs-3102	99	12	down	down	ADV
iajs-3102	99	13	;	;	PUNCT
iajs-3102	99	14	see	see	VERB
iajs-3102	99	15	the	the	DET
iajs-3102	99	16	below	below	ADJ
iajs-3102	99	17	figure	figure	NOUN
iajs-3102	99	18	.	.	PUNCT
iajs-3102	100	1	figure	figure	NOUN
iajs-3102	100	2	2	2	NUM
iajs-3102	100	3	.	.	PUNCT
iajs-3102	101	1	the	the	DET
iajs-3102	101	2	structure	structure	NOUN
iajs-3102	101	3	of	of	ADP
iajs-3102	101	4	decision	decision	NOUN
iajs-3102	101	5	tree	tree	NOUN
iajs-3102	101	6	algorithm	algorithm	NOUN
iajs-3102	101	7	the	the	DET
iajs-3102	101	8	approach	approach	NOUN
iajs-3102	101	9	to	to	ADP
iajs-3102	101	10	decision	decision	NOUN
iajs-3102	101	11	trees	tree	NOUN
iajs-3102	101	12	is	be	AUX
iajs-3102	101	13	carried	carry	VERB
iajs-3102	101	14	out	out	ADP
iajs-3102	101	15	in	in	ADP
iajs-3102	101	16	two	two	NUM
iajs-3102	101	17	stages	stage	NOUN
iajs-3102	101	18	:	:	PUNCT
iajs-3102	101	19	tree	tree	NOUN
iajs-3102	101	20	construction	construction	NOUN
iajs-3102	101	21	and	and	CCONJ
iajs-3102	101	22	tree	tree	NOUN
iajs-3102	101	23	pruning	prune	VERB
iajs-3102	101	24	[	[	X
iajs-3102	101	25	18	18	NUM
iajs-3102	101	26	]	]	PUNCT
iajs-3102	101	27	.	.	PUNCT
iajs-3102	102	1	tree	tree	NOUN
iajs-3102	102	2	construction	construction	NOUN
iajs-3102	102	3	is	be	AUX
iajs-3102	102	4	done	do	VERB
iajs-3102	102	5	from	from	ADP
iajs-3102	102	6	the	the	DET
iajs-3102	102	7	top	top	NOUN
iajs-3102	102	8	to	to	ADP
iajs-3102	102	9	the	the	DET
iajs-3102	102	10	down	down	ADJ
iajs-3102	102	11	strategy	strategy	NOUN
iajs-3102	102	12	.	.	PUNCT
iajs-3102	103	1	the	the	DET
iajs-3102	103	2	tree	tree	NOUN
iajs-3102	103	3	is	be	AUX
iajs-3102	103	4	iteratively	iteratively	ADV
iajs-3102	103	5	partitioned	partition	VERB
iajs-3102	103	6	at	at	ADP
iajs-3102	103	7	this	this	DET
iajs-3102	103	8	phase	phase	NOUN
iajs-3102	103	9	until	until	SCONJ
iajs-3102	103	10	all	all	DET
iajs-3102	103	11	data	datum	NOUN
iajs-3102	103	12	items	item	NOUN
iajs-3102	103	13	belong	belong	VERB
iajs-3102	103	14	to	to	ADP
iajs-3102	103	15	the	the	DET
iajs-3102	103	16	same	same	ADJ
iajs-3102	103	17	class	class	NOUN
iajs-3102	103	18	label	label	NOUN
iajs-3102	103	19	.	.	PUNCT
iajs-3102	104	1	because	because	SCONJ
iajs-3102	104	2	the	the	DET
iajs-3102	104	3	training	training	NOUN
iajs-3102	104	4	dataset	dataset	NOUN
iajs-3102	104	5	is	be	AUX
iajs-3102	104	6	scanned	scan	VERB
iajs-3102	104	7	frequently	frequently	ADV
iajs-3102	104	8	,	,	PUNCT
iajs-3102	104	9	it	it	PRON
iajs-3102	104	10	is	be	AUX
iajs-3102	104	11	quite	quite	ADV
iajs-3102	104	12	computationally	computationally	ADV
iajs-3102	104	13	expensive	expensive	ADJ
iajs-3102	104	14	.	.	PUNCT
iajs-3102	105	1	tree	tree	NOUN
iajs-3102	105	2	pruning	pruning	NOUN
iajs-3102	105	3	is	be	AUX
iajs-3102	105	4	done	do	VERB
iajs-3102	105	5	from	from	ADP
iajs-3102	105	6	the	the	DET
iajs-3102	105	7	ground	ground	NOUN
iajs-3102	105	8	up	up	ADP
iajs-3102	105	9	.	.	PUNCT
iajs-3102	106	1	it	it	PRON
iajs-3102	106	2	is	be	AUX
iajs-3102	106	3	used	use	VERB
iajs-3102	106	4	to	to	PART
iajs-3102	106	5	increase	increase	VERB
iajs-3102	106	6	the	the	DET
iajs-3102	106	7	algorithm	algorithm	NOUN
iajs-3102	106	8	's	's	PART
iajs-3102	106	9	prediction	prediction	NOUN
iajs-3102	106	10	and	and	CCONJ
iajs-3102	106	11	classification	classification	NOUN
iajs-3102	106	12	performance	performance	NOUN
iajs-3102	106	13	by	by	ADP
iajs-3102	106	14	reducing	reduce	VERB
iajs-3102	106	15	the	the	DET
iajs-3102	106	16	over	over	ADP
iajs-3102	106	17	fitting	fitting	ADJ
iajs-3102	106	18	issue	issue	NOUN
iajs-3102	106	19	of	of	ADP
iajs-3102	106	20	trees	tree	NOUN
iajs-3102	106	21	.	.	PUNCT
iajs-3102	107	1	the	the	DET
iajs-3102	107	2	decision	decision	NOUN
iajs-3102	107	3	tree	tree	NOUN
iajs-3102	107	4	's	's	PART
iajs-3102	107	5	over	over	ADP
iajs-3102	107	6	fitting	fitting	ADJ
iajs-3102	107	7	issue	issue	NOUN
iajs-3102	107	8	leads	lead	VERB
iajs-3102	107	9	to	to	ADP
iajs-3102	107	10	a	a	DET
iajs-3102	107	11	misclassification	misclassification	NOUN
iajs-3102	107	12	mistake	mistake	NOUN
iajs-3102	107	13	.	.	PUNCT
iajs-3102	108	1	ihjpas	ihjpas	PROPN
iajs-3102	108	2	.	.	PUNCT
iajs-3102	109	1	36(1)2023	36(1)2023	NUM
iajs-3102	109	2	455	455	NUM
iajs-3102	109	3	many	many	ADJ
iajs-3102	109	4	decision	decision	NOUN
iajs-3102	109	5	tree	tree	NOUN
iajs-3102	109	6	-	-	PUNCT
iajs-3102	109	7	based	base	VERB
iajs-3102	109	8	algorithms	algorithm	NOUN
iajs-3102	109	9	exist	exist	VERB
iajs-3102	109	10	,	,	PUNCT
iajs-3102	109	11	such	such	ADJ
iajs-3102	109	12	as	as	ADP
iajs-3102	109	13	cart	cart	NOUN
iajs-3102	109	14	,	,	PUNCT
iajs-3102	109	15	c4.5	c4.5	PROPN
iajs-3102	109	16	,	,	PUNCT
iajs-3102	109	17	id3	id3	PROPN
iajs-3102	109	18	,	,	PUNCT
iajs-3102	109	19	c5.0	c5.0	PROPN
iajs-3102	109	20	,	,	PUNCT
iajs-3102	109	21	etc	etc	X
iajs-3102	109	22	.	.	X
iajs-3102	110	1	these	these	DET
iajs-3102	110	2	algorithms	algorithm	NOUN
iajs-3102	110	3	have	have	VERB
iajs-3102	110	4	the	the	DET
iajs-3102	110	5	advantages	advantage	NOUN
iajs-3102	110	6	of	of	ADP
iajs-3102	110	7	fast	fast	ADJ
iajs-3102	110	8	classification	classification	NOUN
iajs-3102	110	9	,	,	PUNCT
iajs-3102	110	10	good	good	ADJ
iajs-3102	110	11	learning	learning	NOUN
iajs-3102	110	12	capacity	capacity	NOUN
iajs-3102	110	13	,	,	PUNCT
iajs-3102	110	14	and	and	CCONJ
iajs-3102	110	15	simple	simple	ADJ
iajs-3102	110	16	design	design	NOUN
iajs-3102	110	17	[	[	X
iajs-3102	110	18	19	19	NUM
iajs-3102	110	19	]	]	PUNCT
iajs-3102	110	20	.	.	PUNCT
iajs-3102	111	1	for	for	ADP
iajs-3102	111	2	our	our	PRON
iajs-3102	111	3	study	study	NOUN
iajs-3102	111	4	predicting	predict	VERB
iajs-3102	111	5	reading	read	VERB
iajs-3102	111	6	rate	rate	NOUN
iajs-3102	111	7	levels	level	NOUN
iajs-3102	111	8	,	,	PUNCT
iajs-3102	111	9	the	the	DET
iajs-3102	111	10	first	first	ADJ
iajs-3102	111	11	split	split	NOUN
iajs-3102	111	12	,	,	PUNCT
iajs-3102	111	13	or	or	CCONJ
iajs-3102	111	14	the	the	DET
iajs-3102	111	15	root	root	NOUN
iajs-3102	111	16	,	,	PUNCT
iajs-3102	111	17	of	of	ADP
iajs-3102	111	18	the	the	DET
iajs-3102	111	19	three	three	NUM
iajs-3102	111	20	features	feature	NOUN
iajs-3102	111	21	(	(	PUNCT
iajs-3102	111	22	number	number	NOUN
iajs-3102	111	23	of	of	ADP
iajs-3102	111	24	errors	error	NOUN
iajs-3102	111	25	,	,	PUNCT
iajs-3102	111	26	the	the	DET
iajs-3102	111	27	number	number	NOUN
iajs-3102	111	28	of	of	ADP
iajs-3102	111	29	words	word	NOUN
iajs-3102	111	30	read	read	VERB
iajs-3102	111	31	correctly	correctly	ADV
iajs-3102	111	32	,	,	PUNCT
iajs-3102	111	33	and	and	CCONJ
iajs-3102	111	34	total	total	ADJ
iajs-3102	111	35	reading	reading	NOUN
iajs-3102	111	36	time	time	NOUN
iajs-3102	111	37	)	)	PUNCT
iajs-3102	111	38	is	be	AUX
iajs-3102	111	39	considered	consider	VERB
iajs-3102	111	40	,	,	PUNCT
iajs-3102	111	41	and	and	CCONJ
iajs-3102	111	42	the	the	DET
iajs-3102	111	43	wcpm	wcpm	PROPN
iajs-3102	111	44	training	training	NOUN
iajs-3102	111	45	data	datum	NOUN
iajs-3102	111	46	is	be	AUX
iajs-3102	111	47	divided	divide	VERB
iajs-3102	111	48	into	into	ADP
iajs-3102	111	49	groups	group	NOUN
iajs-3102	111	50	based	base	VERB
iajs-3102	111	51	on	on	ADP
iajs-3102	111	52	this	this	DET
iajs-3102	111	53	split	split	NOUN
iajs-3102	111	54	using	use	VERB
iajs-3102	111	55	the	the	DET
iajs-3102	111	56	greedy	greedy	ADJ
iajs-3102	111	57	algorithm	algorithm	NOUN
iajs-3102	111	58	.	.	PUNCT
iajs-3102	112	1	the	the	DET
iajs-3102	112	2	three	three	NUM
iajs-3102	112	3	features	feature	NOUN
iajs-3102	112	4	will	will	AUX
iajs-3102	112	5	have	have	VERB
iajs-3102	112	6	three	three	NUM
iajs-3102	112	7	candidate	candidate	NOUN
iajs-3102	112	8	splits	split	NOUN
iajs-3102	112	9	,	,	PUNCT
iajs-3102	112	10	and	and	CCONJ
iajs-3102	112	11	then	then	ADV
iajs-3102	112	12	we	we	PRON
iajs-3102	112	13	will	will	AUX
iajs-3102	112	14	calculate	calculate	VERB
iajs-3102	112	15	how	how	SCONJ
iajs-3102	112	16	much	much	ADJ
iajs-3102	112	17	accuracy	accuracy	NOUN
iajs-3102	112	18	each	each	DET
iajs-3102	112	19	split	split	NOUN
iajs-3102	112	20	will	will	AUX
iajs-3102	112	21	cost	cost	VERB
iajs-3102	112	22	us	we	PRON
iajs-3102	112	23	.	.	PUNCT
iajs-3102	113	1	the	the	DET
iajs-3102	113	2	split	split	NOUN
iajs-3102	113	3	that	that	PRON
iajs-3102	113	4	costs	cost	NOUN
iajs-3102	113	5	least	least	ADJ
iajs-3102	113	6	is	be	AUX
iajs-3102	113	7	chosen	choose	VERB
iajs-3102	113	8	.	.	PUNCT
iajs-3102	114	1	2.3.3	2.3.3	NUM
iajs-3102	114	2	ensemble	ensemble	ADJ
iajs-3102	114	3	classifier	classifier	NOUN
iajs-3102	114	4	an	an	DET
iajs-3102	114	5	ensemble	ensemble	ADJ
iajs-3102	114	6	classifier	classifier	NOUN
iajs-3102	114	7	(	(	PUNCT
iajs-3102	114	8	ec	ec	PROPN
iajs-3102	114	9	)	)	PUNCT
iajs-3102	114	10	is	be	AUX
iajs-3102	114	11	defined	define	VERB
iajs-3102	114	12	as	as	ADP
iajs-3102	114	13	a	a	DET
iajs-3102	114	14	collection	collection	NOUN
iajs-3102	114	15	of	of	ADP
iajs-3102	114	16	individual	individual	ADJ
iajs-3102	114	17	classifiers	classifier	NOUN
iajs-3102	114	18	that	that	PRON
iajs-3102	114	19	are	be	AUX
iajs-3102	114	20	jointly	jointly	ADV
iajs-3102	114	21	trained	train	VERB
iajs-3102	114	22	on	on	ADP
iajs-3102	114	23	a	a	DET
iajs-3102	114	24	dataset	dataset	NOUN
iajs-3102	114	25	in	in	ADP
iajs-3102	114	26	a	a	DET
iajs-3102	114	27	supervised	supervised	ADJ
iajs-3102	114	28	classification	classification	NOUN
iajs-3102	114	29	issue	issue	NOUN
iajs-3102	114	30	.	.	PUNCT
iajs-3102	115	1	the	the	DET
iajs-3102	115	2	goal	goal	NOUN
iajs-3102	115	3	of	of	ADP
iajs-3102	115	4	the	the	DET
iajs-3102	115	5	ensemble	ensemble	ADJ
iajs-3102	115	6	approach	approach	NOUN
iajs-3102	115	7	is	be	AUX
iajs-3102	115	8	to	to	PART
iajs-3102	115	9	create	create	VERB
iajs-3102	115	10	a	a	DET
iajs-3102	115	11	prediction	prediction	NOUN
iajs-3102	115	12	model	model	NOUN
iajs-3102	115	13	by	by	ADP
iajs-3102	115	14	combining	combine	VERB
iajs-3102	115	15	numerous	numerous	ADJ
iajs-3102	115	16	models	model	NOUN
iajs-3102	115	17	.	.	PUNCT
iajs-3102	116	1	ensemble	ensemble	ADJ
iajs-3102	116	2	approaches	approach	NOUN
iajs-3102	116	3	are	be	AUX
iajs-3102	116	4	well	well	ADV
iajs-3102	116	5	known	known	ADJ
iajs-3102	116	6	for	for	ADP
iajs-3102	116	7	their	their	PRON
iajs-3102	116	8	ability	ability	NOUN
iajs-3102	116	9	to	to	PART
iajs-3102	116	10	improve	improve	VERB
iajs-3102	116	11	prediction	prediction	NOUN
iajs-3102	116	12	performance	performance	NOUN
iajs-3102	116	13	.	.	PUNCT
iajs-3102	117	1	classification	classification	NOUN
iajs-3102	117	2	methods	method	NOUN
iajs-3102	117	3	for	for	ADP
iajs-3102	117	4	ensemble	ensemble	ADJ
iajs-3102	117	5	learning	learning	NOUN
iajs-3102	117	6	typically	typically	ADV
iajs-3102	117	7	combine	combine	VERB
iajs-3102	117	8	multiple	multiple	ADJ
iajs-3102	117	9	base	base	NOUN
iajs-3102	117	10	classifiers	classifier	NOUN
iajs-3102	117	11	in	in	ADP
iajs-3102	117	12	some	some	DET
iajs-3102	117	13	way	way	NOUN
iajs-3102	117	14	to	to	PART
iajs-3102	117	15	improve	improve	VERB
iajs-3102	117	16	accuracy	accuracy	NOUN
iajs-3102	117	17	[	[	X
iajs-3102	117	18	20	20	NUM
iajs-3102	117	19	]	]	PUNCT
iajs-3102	117	20	.	.	PUNCT
iajs-3102	118	1	these	these	DET
iajs-3102	118	2	classifiers	classifier	NOUN
iajs-3102	118	3	are	be	AUX
iajs-3102	118	4	capable	capable	ADJ
iajs-3102	118	5	of	of	ADP
iajs-3102	118	6	solving	solve	VERB
iajs-3102	118	7	the	the	DET
iajs-3102	118	8	same	same	ADJ
iajs-3102	118	9	issue	issue	NOUN
iajs-3102	118	10	and	and	CCONJ
iajs-3102	118	11	collectively	collectively	ADV
iajs-3102	118	12	attaining	attain	VERB
iajs-3102	118	13	a	a	DET
iajs-3102	118	14	predicted	predict	VERB
iajs-3102	118	15	result	result	NOUN
iajs-3102	118	16	with	with	ADP
iajs-3102	118	17	greater	great	ADJ
iajs-3102	118	18	accuracy	accuracy	NOUN
iajs-3102	118	19	and	and	CCONJ
iajs-3102	118	20	stability	stability	NOUN
iajs-3102	118	21	by	by	ADP
iajs-3102	118	22	developing	develop	VERB
iajs-3102	118	23	many	many	ADJ
iajs-3102	118	24	independent	independent	ADJ
iajs-3102	118	25	models	model	NOUN
iajs-3102	118	26	and	and	CCONJ
iajs-3102	118	27	joining	join	VERB
iajs-3102	118	28	them	they	PRON
iajs-3102	118	29	.	.	PUNCT
iajs-3102	119	1	the	the	DET
iajs-3102	119	2	traditional	traditional	ADJ
iajs-3102	119	3	reasons	reason	NOUN
iajs-3102	119	4	for	for	ADP
iajs-3102	119	5	using	use	VERB
iajs-3102	119	6	ensemble	ensemble	ADJ
iajs-3102	119	7	classifiers	classifier	NOUN
iajs-3102	119	8	to	to	PART
iajs-3102	119	9	improve	improve	VERB
iajs-3102	119	10	effectiveness	effectiveness	NOUN
iajs-3102	119	11	are	be	AUX
iajs-3102	119	12	representational	representational	ADJ
iajs-3102	119	13	reasons	reason	NOUN
iajs-3102	119	14	,	,	PUNCT
iajs-3102	119	15	statistical	statistical	ADJ
iajs-3102	119	16	concerns	concern	NOUN
iajs-3102	119	17	,	,	PUNCT
iajs-3102	119	18	and	and	CCONJ
iajs-3102	119	19	computational	computational	ADJ
iajs-3102	119	20	issues	issue	NOUN
iajs-3102	119	21	.	.	PUNCT
iajs-3102	120	1	firstly	firstly	ADV
iajs-3102	120	2	,	,	PUNCT
iajs-3102	120	3	a	a	DET
iajs-3102	120	4	single	single	ADJ
iajs-3102	120	5	classifier	classifier	NOUN
iajs-3102	120	6	is	be	AUX
iajs-3102	120	7	not	not	PART
iajs-3102	120	8	always	always	ADV
iajs-3102	120	9	enough	enough	ADJ
iajs-3102	120	10	to	to	PART
iajs-3102	120	11	achieve	achieve	VERB
iajs-3102	120	12	the	the	DET
iajs-3102	120	13	best	good	ADJ
iajs-3102	120	14	representation	representation	NOUN
iajs-3102	120	15	in	in	ADP
iajs-3102	120	16	the	the	DET
iajs-3102	120	17	hypothesis	hypothesis	NOUN
iajs-3102	120	18	space	space	NOUN
iajs-3102	120	19	;	;	PUNCT
iajs-3102	120	20	thus	thus	ADV
iajs-3102	120	21	,	,	PUNCT
iajs-3102	120	22	independent	independent	ADJ
iajs-3102	120	23	classifiers	classifier	NOUN
iajs-3102	120	24	must	must	AUX
iajs-3102	120	25	be	be	AUX
iajs-3102	120	26	combined	combine	VERB
iajs-3102	120	27	to	to	PART
iajs-3102	120	28	improve	improve	VERB
iajs-3102	120	29	predictive	predictive	ADJ
iajs-3102	120	30	performance	performance	NOUN
iajs-3102	120	31	.	.	PUNCT
iajs-3102	121	1	secondly	secondly	ADV
iajs-3102	121	2	,	,	PUNCT
iajs-3102	121	3	if	if	SCONJ
iajs-3102	121	4	the	the	DET
iajs-3102	121	5	input	input	NOUN
iajs-3102	121	6	dataset	dataset	NOUN
iajs-3102	121	7	is	be	AUX
iajs-3102	121	8	insufficient	insufficient	ADJ
iajs-3102	121	9	to	to	PART
iajs-3102	121	10	train	train	VERB
iajs-3102	121	11	the	the	DET
iajs-3102	121	12	learning	learning	NOUN
iajs-3102	121	13	algorithm	algorithm	NOUN
iajs-3102	121	14	,	,	PUNCT
iajs-3102	121	15	the	the	DET
iajs-3102	121	16	resulting	result	VERB
iajs-3102	121	17	hypothesis	hypothesis	NOUN
iajs-3102	121	18	may	may	AUX
iajs-3102	121	19	be	be	AUX
iajs-3102	121	20	weak	weak	ADJ
iajs-3102	121	21	or	or	CCONJ
iajs-3102	121	22	false	false	ADJ
iajs-3102	121	23	.	.	PUNCT
iajs-3102	122	1	in	in	ADP
iajs-3102	122	2	the	the	DET
iajs-3102	122	3	latter	latter	ADJ
iajs-3102	122	4	case	case	NOUN
iajs-3102	122	5	,	,	PUNCT
iajs-3102	122	6	an	an	DET
iajs-3102	122	7	individual	individual	ADJ
iajs-3102	122	8	classifier	classifier	NOUN
iajs-3102	122	9	may	may	AUX
iajs-3102	122	10	spend	spend	VERB
iajs-3102	122	11	a	a	DET
iajs-3102	122	12	considerable	considerable	ADJ
iajs-3102	122	13	duration	duration	NOUN
iajs-3102	122	14	of	of	ADP
iajs-3102	122	15	computing	computing	NOUN
iajs-3102	122	16	time	time	NOUN
iajs-3102	122	17	generating	generate	VERB
iajs-3102	122	18	a	a	DET
iajs-3102	122	19	suitable	suitable	ADJ
iajs-3102	122	20	hypothesis	hypothesis	NOUN
iajs-3102	122	21	,	,	PUNCT
iajs-3102	122	22	in	in	ADP
iajs-3102	122	23	which	which	DET
iajs-3102	122	24	case	case	NOUN
iajs-3102	122	25	the	the	DET
iajs-3102	122	26	procedure	procedure	NOUN
iajs-3102	122	27	is	be	AUX
iajs-3102	122	28	more	more	ADV
iajs-3102	122	29	likely	likely	ADJ
iajs-3102	122	30	to	to	PART
iajs-3102	122	31	cause	cause	VERB
iajs-3102	122	32	problems	problem	NOUN
iajs-3102	122	33	.	.	PUNCT
iajs-3102	123	1	there	there	PRON
iajs-3102	123	2	are	be	VERB
iajs-3102	123	3	five	five	NUM
iajs-3102	123	4	wellknown	wellknown	ADJ
iajs-3102	123	5	methods	method	NOUN
iajs-3102	123	6	of	of	ADP
iajs-3102	123	7	ensemble	ensemble	ADJ
iajs-3102	123	8	classifiers	classifier	NOUN
iajs-3102	123	9	:	:	PUNCT
iajs-3102	123	10	bagging	bagging	NOUN
iajs-3102	123	11	,	,	PUNCT
iajs-3102	123	12	boosting	boost	VERB
iajs-3102	123	13	,	,	PUNCT
iajs-3102	123	14	voting	voting	NOUN
iajs-3102	123	15	,	,	PUNCT
iajs-3102	123	16	bayesian	bayesian	NOUN
iajs-3102	123	17	parameter	parameter	NOUN
iajs-3102	123	18	aver	aver	NOUN
iajs-3102	123	19	aging	aging	NOUN
iajs-3102	123	20	and	and	CCONJ
iajs-3102	123	21	stacking	stack	VERB
iajs-3102	123	22	[	[	X
iajs-3102	123	23	21	21	NUM
iajs-3102	123	24	]	]	PUNCT
iajs-3102	123	25	.	.	PUNCT
iajs-3102	124	1	the	the	DET
iajs-3102	124	2	bagging	bagging	NOUN
iajs-3102	124	3	method	method	NOUN
iajs-3102	124	4	was	be	AUX
iajs-3102	124	5	used	use	VERB
iajs-3102	124	6	for	for	ADP
iajs-3102	124	7	this	this	DET
iajs-3102	124	8	study	study	NOUN
iajs-3102	124	9	.	.	PUNCT
iajs-3102	125	1	'	'	PUNCT
iajs-3102	125	2	bagging	bag	VERB
iajs-3102	125	3	'	'	PUNCT
iajs-3102	125	4	refers	refer	VERB
iajs-3102	125	5	to	to	ADP
iajs-3102	125	6	bootstrap	bootstrap	NOUN
iajs-3102	125	7	aggregation	aggregation	NOUN
iajs-3102	125	8	,	,	PUNCT
iajs-3102	125	9	in	in	ADP
iajs-3102	125	10	which	which	PRON
iajs-3102	125	11	random	random	ADJ
iajs-3102	125	12	samples	sample	NOUN
iajs-3102	125	13	are	be	AUX
iajs-3102	125	14	drawn	draw	VERB
iajs-3102	125	15	by	by	ADP
iajs-3102	125	16	replacing	replace	VERB
iajs-3102	125	17	the	the	DET
iajs-3102	125	18	training	training	NOUN
iajs-3102	125	19	datasets	dataset	NOUN
iajs-3102	125	20	.	.	PUNCT
iajs-3102	126	1	it	it	PRON
iajs-3102	126	2	achieves	achieve	VERB
iajs-3102	126	3	good	good	ADJ
iajs-3102	126	4	classification	classification	NOUN
iajs-3102	126	5	results	result	NOUN
iajs-3102	126	6	and	and	CCONJ
iajs-3102	126	7	is	be	AUX
iajs-3102	126	8	widely	widely	ADV
iajs-3102	126	9	used	use	VERB
iajs-3102	126	10	to	to	PART
iajs-3102	126	11	build	build	VERB
iajs-3102	126	12	ensemble	ensemble	ADJ
iajs-3102	126	13	models	model	NOUN
iajs-3102	126	14	.	.	PUNCT
iajs-3102	127	1	bagging	bagging	NOUN
iajs-3102	127	2	is	be	AUX
iajs-3102	127	3	a	a	DET
iajs-3102	127	4	simple	simple	ADJ
iajs-3102	127	5	method	method	NOUN
iajs-3102	127	6	for	for	ADP
iajs-3102	127	7	reducing	reduce	VERB
iajs-3102	127	8	variance	variance	NOUN
iajs-3102	127	9	in	in	ADP
iajs-3102	127	10	machine	machine	NOUN
iajs-3102	127	11	learning	learn	VERB
iajs-3102	127	12	algorithms	algorithm	NOUN
iajs-3102	127	13	that	that	PRON
iajs-3102	127	14	have	have	VERB
iajs-3102	127	15	a	a	DET
iajs-3102	127	16	high	high	ADJ
iajs-3102	127	17	variance	variance	NOUN
iajs-3102	127	18	.	.	PUNCT
iajs-3102	128	1	learners	learner	NOUN
iajs-3102	128	2	are	be	AUX
iajs-3102	128	3	divided	divide	VERB
iajs-3102	128	4	into	into	ADP
iajs-3102	128	5	two	two	NUM
iajs-3102	128	6	categories	category	NOUN
iajs-3102	128	7	:	:	PUNCT
iajs-3102	128	8	'	'	PUNCT
iajs-3102	128	9	stable	stable	ADJ
iajs-3102	128	10	'	'	PUNCT
iajs-3102	128	11	and	and	CCONJ
iajs-3102	128	12	'	'	PUNCT
iajs-3102	128	13	unstable	unstable	ADJ
iajs-3102	128	14	.	.	PUNCT
iajs-3102	128	15	'	'	PUNCT
iajs-3102	129	1	the	the	DET
iajs-3102	129	2	variance	variance	NOUN
iajs-3102	129	3	of	of	ADP
iajs-3102	129	4	stable	stable	ADJ
iajs-3102	129	5	learners	learner	NOUN
iajs-3102	129	6	is	be	AUX
iajs-3102	129	7	low	low	ADJ
iajs-3102	129	8	,	,	PUNCT
iajs-3102	129	9	whereas	whereas	SCONJ
iajs-3102	129	10	the	the	DET
iajs-3102	129	11	variance	variance	NOUN
iajs-3102	129	12	of	of	ADP
iajs-3102	129	13	unstable	unstable	ADJ
iajs-3102	129	14	learners	learner	NOUN
iajs-3102	129	15	is	be	AUX
iajs-3102	129	16	high	high	ADJ
iajs-3102	129	17	.	.	PUNCT
iajs-3102	130	1	decision	decision	NOUN
iajs-3102	130	2	tree	tree	NOUN
iajs-3102	130	3	(	(	PUNCT
iajs-3102	130	4	dt	dt	NOUN
iajs-3102	130	5	)	)	PUNCT
iajs-3102	130	6	is	be	AUX
iajs-3102	130	7	an	an	DET
iajs-3102	130	8	unstable	unstable	ADJ
iajs-3102	130	9	learner	learner	NOUN
iajs-3102	130	10	who	who	PRON
iajs-3102	130	11	responds	respond	VERB
iajs-3102	130	12	to	to	ADP
iajs-3102	130	13	particular	particular	ADJ
iajs-3102	130	14	training	training	NOUN
iajs-3102	130	15	patterns	pattern	NOUN
iajs-3102	130	16	.	.	PUNCT
iajs-3102	131	1	if	if	SCONJ
iajs-3102	131	2	the	the	DET
iajs-3102	131	3	training	training	NOUN
iajs-3102	131	4	pattern	pattern	NOUN
iajs-3102	131	5	is	be	AUX
iajs-3102	131	6	altered	alter	VERB
iajs-3102	131	7	,	,	PUNCT
iajs-3102	131	8	then	then	ADV
iajs-3102	131	9	the	the	DET
iajs-3102	131	10	resulting	result	VERB
iajs-3102	131	11	dt	dt	NOUN
iajs-3102	131	12	may	may	AUX
iajs-3102	131	13	differ	differ	VERB
iajs-3102	131	14	significantly	significantly	ADV
iajs-3102	131	15	from	from	ADP
iajs-3102	131	16	the	the	DET
iajs-3102	131	17	original	original	NOUN
iajs-3102	131	18	.	.	PUNCT
iajs-3102	132	1	the	the	DET
iajs-3102	132	2	prediction	prediction	NOUN
iajs-3102	132	3	accuracy	accuracy	NOUN
iajs-3102	132	4	of	of	ADP
iajs-3102	132	5	the	the	DET
iajs-3102	132	6	resulting	result	VERB
iajs-3102	132	7	dt	dt	NOUN
iajs-3102	132	8	will	will	AUX
iajs-3102	132	9	change	change	VERB
iajs-3102	132	10	in	in	ADP
iajs-3102	132	11	such	such	DET
iajs-3102	132	12	a	a	DET
iajs-3102	132	13	case	case	NOUN
iajs-3102	132	14	.	.	PUNCT
iajs-3102	133	1	over	over	ADP
iajs-3102	133	2	fitting	fitting	ADJ
iajs-3102	133	3	of	of	ADP
iajs-3102	133	4	training	training	NOUN
iajs-3102	133	5	patterns	pattern	NOUN
iajs-3102	133	6	may	may	AUX
iajs-3102	133	7	occur	occur	VERB
iajs-3102	133	8	as	as	ADP
iajs-3102	133	9	a	a	DET
iajs-3102	133	10	result	result	NOUN
iajs-3102	133	11	of	of	ADP
iajs-3102	133	12	an	an	DET
iajs-3102	133	13	individual	individual	ADJ
iajs-3102	133	14	dt	dt	NOUN
iajs-3102	133	15	.	.	PUNCT
iajs-3102	134	1	to	to	PART
iajs-3102	134	2	overcome	overcome	VERB
iajs-3102	134	3	the	the	DET
iajs-3102	134	4	dt	dt	PROPN
iajs-3102	134	5	's	's	PART
iajs-3102	134	6	challenge	challenge	NOUN
iajs-3102	134	7	,	,	PUNCT
iajs-3102	134	8	a	a	DET
iajs-3102	134	9	bagged	bagged	NOUN
iajs-3102	134	10	dt	dt	AUX
iajs-3102	134	11	can	can	AUX
iajs-3102	134	12	be	be	AUX
iajs-3102	134	13	a	a	DET
iajs-3102	134	14	good	good	ADJ
iajs-3102	134	15	option	option	NOUN
iajs-3102	134	16	.	.	PUNCT
iajs-3102	135	1	individual	individual	ADJ
iajs-3102	135	2	dt	dt	PROPN
iajs-3102	135	3	overfits	overfit	NOUN
iajs-3102	135	4	are	be	AUX
iajs-3102	135	5	less	less	ADJ
iajs-3102	135	6	of	of	ADP
iajs-3102	135	7	a	a	DET
iajs-3102	135	8	concern	concern	NOUN
iajs-3102	135	9	for	for	ADP
iajs-3102	135	10	bagged	bagged	ADJ
iajs-3102	135	11	dt	dt	X
iajs-3102	135	12	.	.	PUNCT
iajs-3102	136	1	it	it	PRON
iajs-3102	136	2	gathers	gather	VERB
iajs-3102	136	3	the	the	DET
iajs-3102	136	4	results	result	NOUN
iajs-3102	136	5	of	of	ADP
iajs-3102	136	6	multiple	multiple	ADJ
iajs-3102	136	7	dts	dt	NOUN
iajs-3102	136	8	by	by	ADP
iajs-3102	136	9	picking	pick	VERB
iajs-3102	136	10	a	a	DET
iajs-3102	136	11	majority	majority	NOUN
iajs-3102	136	12	vote	vote	NOUN
iajs-3102	136	13	on	on	ADP
iajs-3102	136	14	their	their	PRON
iajs-3102	136	15	decisions	decision	NOUN
iajs-3102	136	16	,	,	PUNCT
iajs-3102	136	17	which	which	PRON
iajs-3102	136	18	helps	help	VERB
iajs-3102	136	19	minimize	minimize	VERB
iajs-3102	136	20	the	the	DET
iajs-3102	136	21	over	over	ADP
iajs-3102	136	22	fitting	fitting	ADJ
iajs-3102	136	23	problem	problem	NOUN
iajs-3102	136	24	and	and	CCONJ
iajs-3102	136	25	improve	improve	VERB
iajs-3102	136	26	the	the	DET
iajs-3102	136	27	generalization	generalization	NOUN
iajs-3102	136	28	of	of	ADP
iajs-3102	136	29	the	the	DET
iajs-3102	136	30	dt	dt	PROPN
iajs-3102	136	31	.	.	PUNCT
iajs-3102	137	1	as	as	ADP
iajs-3102	137	2	a	a	DET
iajs-3102	137	3	result	result	NOUN
iajs-3102	137	4	,	,	PUNCT
iajs-3102	137	5	the	the	DET
iajs-3102	137	6	individual	individual	ADJ
iajs-3102	137	7	dts	dt	NOUN
iajs-3102	137	8	are	be	AUX
iajs-3102	137	9	developed	develop	VERB
iajs-3102	137	10	deeply	deeply	ADV
iajs-3102	137	11	and	and	CCONJ
iajs-3102	137	12	the	the	DET
iajs-3102	137	13	trees	tree	NOUN
iajs-3102	137	14	are	be	AUX
iajs-3102	137	15	not	not	PART
iajs-3102	137	16	pruned	prune	VERB
iajs-3102	137	17	,	,	PUNCT
iajs-3102	137	18	yielding	yield	VERB
iajs-3102	137	19	higher	high	ADJ
iajs-3102	137	20	variance	variance	NOUN
iajs-3102	137	21	and	and	CCONJ
iajs-3102	137	22	lower	low	ADJ
iajs-3102	137	23	bias	bias	NOUN
iajs-3102	137	24	.	.	PUNCT
iajs-3102	138	1	these	these	DET
iajs-3102	138	2	significant	significant	ADJ
iajs-3102	138	3	characteristics	characteristic	NOUN
iajs-3102	138	4	are	be	AUX
iajs-3102	138	5	utilized	utilize	VERB
iajs-3102	138	6	to	to	PART
iajs-3102	138	7	combine	combine	VERB
iajs-3102	138	8	dt	dt	NOUN
iajs-3102	138	9	predictions	prediction	NOUN
iajs-3102	138	10	during	during	ADP
iajs-3102	138	11	the	the	DET
iajs-3102	138	12	bagging	bagging	NOUN
iajs-3102	138	13	stage	stage	NOUN
iajs-3102	138	14	[	[	X
iajs-3102	138	15	22	22	NUM
iajs-3102	138	16	]	]	PUNCT
iajs-3102	138	17	.	.	PUNCT
iajs-3102	139	1	see	see	VERB
iajs-3102	139	2	the	the	DET
iajs-3102	139	3	below	below	ADJ
iajs-3102	139	4	figure	figure	NOUN
iajs-3102	139	5	:	:	PUNCT
iajs-3102	139	6	ihjpas	ihjpas	PROPN
iajs-3102	139	7	.	.	PUNCT
iajs-3102	140	1	36(1)2023	36(1)2023	NUM
iajs-3102	140	2	456	456	NUM
iajs-3102	140	3	figure	figure	NOUN
iajs-3102	140	4	3	3	NUM
iajs-3102	140	5	.	.	PUNCT
iajs-3102	141	1	bagging	bag	VERB
iajs-3102	141	2	ensemble	ensemble	ADJ
iajs-3102	141	3	classifier	classifier	NOUN
iajs-3102	141	4	in	in	ADP
iajs-3102	141	5	our	our	PRON
iajs-3102	141	6	study	study	NOUN
iajs-3102	141	7	,	,	PUNCT
iajs-3102	141	8	the	the	DET
iajs-3102	141	9	wcpm	wcpm	NOUN
iajs-3102	141	10	training	training	NOUN
iajs-3102	141	11	data	datum	NOUN
iajs-3102	141	12	was	be	AUX
iajs-3102	141	13	divided	divide	VERB
iajs-3102	141	14	into	into	ADP
iajs-3102	141	15	several	several	ADJ
iajs-3102	141	16	subsets	subset	NOUN
iajs-3102	141	17	of	of	ADP
iajs-3102	141	18	data	datum	NOUN
iajs-3102	141	19	chosen	choose	VERB
iajs-3102	141	20	randomly	randomly	ADV
iajs-3102	141	21	with	with	ADP
iajs-3102	141	22	replacement	replacement	NOUN
iajs-3102	141	23	.	.	PUNCT
iajs-3102	142	1	each	each	DET
iajs-3102	142	2	group	group	NOUN
iajs-3102	142	3	of	of	ADP
iajs-3102	142	4	subset	subset	ADJ
iajs-3102	142	5	data	datum	NOUN
iajs-3102	142	6	is	be	AUX
iajs-3102	142	7	utilized	utilize	VERB
iajs-3102	142	8	to	to	PART
iajs-3102	142	9	train	train	VERB
iajs-3102	142	10	their	their	PRON
iajs-3102	142	11	decision	decision	NOUN
iajs-3102	142	12	trees	tree	NOUN
iajs-3102	142	13	.	.	PUNCT
iajs-3102	143	1	after	after	ADP
iajs-3102	143	2	that	that	PRON
iajs-3102	143	3	,	,	PUNCT
iajs-3102	143	4	it	it	PRON
iajs-3102	143	5	ends	end	VERB
iajs-3102	143	6	up	up	ADP
iajs-3102	143	7	with	with	ADP
iajs-3102	143	8	an	an	DET
iajs-3102	143	9	ensemble	ensemble	NOUN
iajs-3102	143	10	of	of	ADP
iajs-3102	143	11	various	various	ADJ
iajs-3102	143	12	models	model	NOUN
iajs-3102	143	13	.	.	PUNCT
iajs-3102	144	1	an	an	DET
iajs-3102	144	2	average	average	NOUN
iajs-3102	144	3	of	of	ADP
iajs-3102	144	4	all	all	DET
iajs-3102	144	5	the	the	DET
iajs-3102	144	6	reading	reading	NOUN
iajs-3102	144	7	rate	rate	NOUN
iajs-3102	144	8	level	level	NOUN
iajs-3102	144	9	predictions	prediction	NOUN
iajs-3102	144	10	from	from	ADP
iajs-3102	144	11	various	various	ADJ
iajs-3102	144	12	trees	tree	NOUN
iajs-3102	144	13	is	be	AUX
iajs-3102	144	14	utilized	utilize	VERB
iajs-3102	144	15	,	,	PUNCT
iajs-3102	144	16	which	which	PRON
iajs-3102	144	17	is	be	AUX
iajs-3102	144	18	more	more	ADV
iajs-3102	144	19	robust	robust	ADJ
iajs-3102	144	20	than	than	ADP
iajs-3102	144	21	a	a	DET
iajs-3102	144	22	single	single	ADJ
iajs-3102	144	23	decision	decision	NOUN
iajs-3102	144	24	tree	tree	NOUN
iajs-3102	144	25	.	.	PUNCT
iajs-3102	145	1	3	3	X
iajs-3102	145	2	.	.	NOUN
iajs-3102	145	3	results	result	NOUN
iajs-3102	145	4	and	and	CCONJ
iajs-3102	145	5	discussion	discussion	NOUN
iajs-3102	145	6	this	this	DET
iajs-3102	145	7	section	section	NOUN
iajs-3102	145	8	assesses	assess	VERB
iajs-3102	145	9	the	the	DET
iajs-3102	145	10	efficiency	efficiency	NOUN
iajs-3102	145	11	of	of	ADP
iajs-3102	145	12	several	several	ADJ
iajs-3102	145	13	methods	method	NOUN
iajs-3102	145	14	used	use	VERB
iajs-3102	145	15	to	to	PART
iajs-3102	145	16	categorize	categorize	VERB
iajs-3102	145	17	readers	reader	NOUN
iajs-3102	145	18	based	base	VERB
iajs-3102	145	19	on	on	ADP
iajs-3102	145	20	their	their	PRON
iajs-3102	145	21	levels	level	NOUN
iajs-3102	145	22	of	of	ADP
iajs-3102	145	23	reading	read	VERB
iajs-3102	145	24	rate	rate	NOUN
iajs-3102	145	25	(	(	PUNCT
iajs-3102	145	26	wcpm	wcpm	PROPN
iajs-3102	145	27	)	)	PUNCT
iajs-3102	145	28	.	.	PUNCT
iajs-3102	146	1	in	in	ADP
iajs-3102	146	2	this	this	DET
iajs-3102	146	3	study	study	NOUN
iajs-3102	146	4	,	,	PUNCT
iajs-3102	146	5	three	three	NUM
iajs-3102	146	6	machine	machine	NOUN
iajs-3102	146	7	learning	learn	VERB
iajs-3102	146	8	algorithms	algorithm	NOUN
iajs-3102	146	9	were	be	AUX
iajs-3102	146	10	used	use	VERB
iajs-3102	146	11	:	:	PUNCT
iajs-3102	146	12	knearest	knearest	NOUN
iajs-3102	146	13	neighbor	neighbor	NOUN
iajs-3102	146	14	,	,	PUNCT
iajs-3102	146	15	decision	decision	NOUN
iajs-3102	146	16	tree	tree	NOUN
iajs-3102	146	17	and	and	CCONJ
iajs-3102	146	18	ensemble	ensemble	ADJ
iajs-3102	146	19	classifiers	classifier	NOUN
iajs-3102	146	20	using	use	VERB
iajs-3102	146	21	matlab	matlab	PROPN
iajs-3102	146	22	2021	2021	NUM
iajs-3102	146	23	to	to	PART
iajs-3102	146	24	predict	predict	VERB
iajs-3102	146	25	wcpm	wcpm	PROPN
iajs-3102	146	26	for	for	ADP
iajs-3102	146	27	the	the	DET
iajs-3102	146	28	2nd	2nd	ADJ
iajs-3102	146	29	year	year	NOUN
iajs-3102	146	30	university	university	NOUN
iajs-3102	146	31	students	student	NOUN
iajs-3102	146	32	of	of	ADP
iajs-3102	146	33	the	the	DET
iajs-3102	146	34	english	english	PROPN
iajs-3102	146	35	language	language	PROPN
iajs-3102	146	36	department	department	PROPN
iajs-3102	146	37	,	,	PUNCT
iajs-3102	146	38	university	university	NOUN
iajs-3102	146	39	of	of	ADP
iajs-3102	146	40	duhok	duhok	NOUN
iajs-3102	146	41	,	,	PUNCT
iajs-3102	146	42	duhok	duhok	NOUN
iajs-3102	146	43	governorate	governorate	PROPN
iajs-3102	146	44	,	,	PUNCT
iajs-3102	146	45	iraq	iraq	PROPN
iajs-3102	146	46	.	.	PUNCT
iajs-3102	147	1	the	the	DET
iajs-3102	147	2	participants	participant	NOUN
iajs-3102	147	3	’	'	PUNCT
iajs-3102	147	4	assessment	assessment	NOUN
iajs-3102	147	5	of	of	ADP
iajs-3102	147	6	orf	orf	PROPN
iajs-3102	147	7	was	be	AUX
iajs-3102	147	8	done	do	VERB
iajs-3102	147	9	in	in	ADP
iajs-3102	147	10	2021	2021	NUM
iajs-3102	147	11	,	,	PUNCT
iajs-3102	147	12	when	when	SCONJ
iajs-3102	147	13	a	a	DET
iajs-3102	147	14	total	total	NOUN
iajs-3102	147	15	of	of	ADP
iajs-3102	147	16	100	100	NUM
iajs-3102	147	17	participants	participant	NOUN
iajs-3102	147	18	were	be	AUX
iajs-3102	147	19	tested	test	VERB
iajs-3102	147	20	.	.	PUNCT
iajs-3102	148	1	participants	participant	NOUN
iajs-3102	148	2	’	'	PUNCT
iajs-3102	148	3	reading	read	VERB
iajs-3102	148	4	rate	rate	NOUN
iajs-3102	148	5	wcpm	wcpm	PROPN
iajs-3102	148	6	was	be	AUX
iajs-3102	148	7	measured	measure	VERB
iajs-3102	148	8	using	use	VERB
iajs-3102	148	9	rasinski	rasinski	NOUN
iajs-3102	148	10	’s	’s	PART
iajs-3102	148	11	(	(	PUNCT
iajs-3102	148	12	2004	2004	NUM
iajs-3102	148	13	)	)	PUNCT
iajs-3102	148	14	formulas	formula	NOUN
iajs-3102	148	15	,	,	PUNCT
iajs-3102	148	16	and	and	CCONJ
iajs-3102	148	17	then	then	ADV
iajs-3102	148	18	the	the	DET
iajs-3102	148	19	calculated	calculated	ADJ
iajs-3102	148	20	wcpm	wcpm	PROPN
iajs-3102	148	21	was	be	AUX
iajs-3102	148	22	classified	classify	VERB
iajs-3102	148	23	based	base	VERB
iajs-3102	148	24	on	on	ADP
iajs-3102	148	25	the	the	DET
iajs-3102	148	26	four	four	NUM
iajs-3102	148	27	categories	category	NOUN
iajs-3102	148	28	given	give	VERB
iajs-3102	148	29	in	in	ADP
iajs-3102	148	30	the	the	DET
iajs-3102	148	31	corfs	corfs	NOUN
iajs-3102	148	32	scale	scale	NOUN
iajs-3102	148	33	.	.	PUNCT
iajs-3102	149	1	the	the	DET
iajs-3102	149	2	input	input	NOUN
iajs-3102	149	3	parameters	parameter	NOUN
iajs-3102	149	4	for	for	ADP
iajs-3102	149	5	calculating	calculate	VERB
iajs-3102	149	6	the	the	DET
iajs-3102	149	7	wcpm	wcpm	NOUN
iajs-3102	149	8	were	be	AUX
iajs-3102	149	9	the	the	DET
iajs-3102	149	10	number	number	NOUN
iajs-3102	149	11	of	of	ADP
iajs-3102	149	12	errors	error	NOUN
iajs-3102	149	13	,	,	PUNCT
iajs-3102	149	14	the	the	DET
iajs-3102	149	15	number	number	NOUN
iajs-3102	149	16	of	of	ADP
iajs-3102	149	17	words	word	NOUN
iajs-3102	149	18	read	read	VERB
iajs-3102	149	19	correctly	correctly	ADV
iajs-3102	149	20	,	,	PUNCT
iajs-3102	149	21	and	and	CCONJ
iajs-3102	149	22	the	the	DET
iajs-3102	149	23	total	total	ADJ
iajs-3102	149	24	reading	reading	NOUN
iajs-3102	149	25	time	time	NOUN
iajs-3102	149	26	,	,	PUNCT
iajs-3102	149	27	and	and	CCONJ
iajs-3102	149	28	the	the	DET
iajs-3102	149	29	output	output	NOUN
iajs-3102	149	30	was	be	AUX
iajs-3102	149	31	the	the	DET
iajs-3102	149	32	levels	level	NOUN
iajs-3102	149	33	of	of	ADP
iajs-3102	149	34	reading	read	VERB
iajs-3102	149	35	rate	rate	NOUN
iajs-3102	149	36	.	.	PUNCT
iajs-3102	150	1	in	in	ADP
iajs-3102	150	2	order	order	NOUN
iajs-3102	150	3	to	to	PART
iajs-3102	150	4	evaluate	evaluate	VERB
iajs-3102	150	5	the	the	DET
iajs-3102	150	6	three	three	NUM
iajs-3102	150	7	machine	machine	NOUN
iajs-3102	150	8	learning	learn	VERB
iajs-3102	150	9	algorithms	algorithm	NOUN
iajs-3102	150	10	,	,	PUNCT
iajs-3102	150	11	the	the	DET
iajs-3102	150	12	dataset	dataset	NOUN
iajs-3102	150	13	was	be	AUX
iajs-3102	150	14	divided	divide	VERB
iajs-3102	150	15	into	into	ADP
iajs-3102	150	16	two	two	NUM
iajs-3102	150	17	groups	group	NOUN
iajs-3102	150	18	(	(	PUNCT
iajs-3102	150	19	70	70	NUM
iajs-3102	150	20	%	%	NOUN
iajs-3102	150	21	for	for	ADP
iajs-3102	150	22	training	training	NOUN
iajs-3102	150	23	and	and	CCONJ
iajs-3102	150	24	30	30	NUM
iajs-3102	150	25	%	%	NOUN
iajs-3102	150	26	for	for	ADP
iajs-3102	150	27	testing	testing	NOUN
iajs-3102	150	28	)	)	PUNCT
iajs-3102	150	29	.	.	PUNCT
iajs-3102	151	1	the	the	DET
iajs-3102	151	2	three	three	NUM
iajs-3102	151	3	input	input	NOUN
iajs-3102	151	4	variables	variable	NOUN
iajs-3102	151	5	were	be	AUX
iajs-3102	151	6	used	use	VERB
iajs-3102	151	7	to	to	PART
iajs-3102	151	8	evaluate	evaluate	VERB
iajs-3102	151	9	the	the	DET
iajs-3102	151	10	levels	level	NOUN
iajs-3102	151	11	of	of	ADP
iajs-3102	151	12	wcpm	wcpm	PROPN
iajs-3102	151	13	.	.	PUNCT
iajs-3102	152	1	using	use	VERB
iajs-3102	152	2	k	k	ADJ
iajs-3102	152	3	-	-	ADJ
iajs-3102	152	4	fold	fold	ADJ
iajs-3102	152	5	(	(	PUNCT
iajs-3102	152	6	k=5	k=5	PROPN
iajs-3102	152	7	)	)	PUNCT
iajs-3102	152	8	,	,	PUNCT
iajs-3102	152	9	the	the	DET
iajs-3102	152	10	model	model	NOUN
iajs-3102	152	11	was	be	AUX
iajs-3102	152	12	trained	train	VERB
iajs-3102	152	13	using	use	VERB
iajs-3102	152	14	the	the	DET
iajs-3102	152	15	three	three	NUM
iajs-3102	152	16	machine	machine	NOUN
iajs-3102	152	17	learning	learn	VERB
iajs-3102	152	18	classification	classification	NOUN
iajs-3102	152	19	techniques	technique	NOUN
iajs-3102	152	20	and	and	CCONJ
iajs-3102	152	21	assessed	assess	VERB
iajs-3102	152	22	for	for	ADP
iajs-3102	152	23	each	each	DET
iajs-3102	152	24	classifier	classifier	NOUN
iajs-3102	152	25	's	's	PART
iajs-3102	152	26	performance	performance	NOUN
iajs-3102	152	27	using	use	VERB
iajs-3102	152	28	test	test	NOUN
iajs-3102	152	29	data	datum	NOUN
iajs-3102	152	30	.	.	PUNCT
iajs-3102	153	1	after	after	ADP
iajs-3102	153	2	the	the	DET
iajs-3102	153	3	testing	testing	NOUN
iajs-3102	153	4	stage	stage	NOUN
iajs-3102	153	5	,	,	PUNCT
iajs-3102	153	6	the	the	DET
iajs-3102	153	7	data	datum	NOUN
iajs-3102	153	8	was	be	AUX
iajs-3102	153	9	evaluated	evaluate	VERB
iajs-3102	153	10	using	use	VERB
iajs-3102	153	11	a	a	DET
iajs-3102	153	12	confusion	confusion	NOUN
iajs-3102	153	13	matrix	matrix	NOUN
iajs-3102	153	14	.	.	PUNCT
iajs-3102	154	1	the	the	DET
iajs-3102	154	2	confusion	confusion	NOUN
iajs-3102	154	3	matrix	matrix	NOUN
iajs-3102	154	4	is	be	AUX
iajs-3102	154	5	a	a	DET
iajs-3102	154	6	successful	successful	ADJ
iajs-3102	154	7	method	method	NOUN
iajs-3102	154	8	for	for	ADP
iajs-3102	154	9	displaying	display	VERB
iajs-3102	154	10	the	the	DET
iajs-3102	154	11	outcomes	outcome	NOUN
iajs-3102	154	12	of	of	ADP
iajs-3102	154	13	two	two	NUM
iajs-3102	154	14	or	or	CCONJ
iajs-3102	154	15	more	more	ADJ
iajs-3102	154	16	class	class	NOUN
iajs-3102	154	17	classification	classification	NOUN
iajs-3102	154	18	tasks	task	NOUN
iajs-3102	154	19	.	.	PUNCT
iajs-3102	155	1	it	it	PRON
iajs-3102	155	2	simplifies	simplify	VERB
iajs-3102	155	3	the	the	DET
iajs-3102	155	4	performance	performance	NOUN
iajs-3102	155	5	of	of	ADP
iajs-3102	155	6	classifiers	classifier	NOUN
iajs-3102	155	7	on	on	ADP
iajs-3102	155	8	test	test	NOUN
iajs-3102	155	9	data	datum	NOUN
iajs-3102	155	10	and	and	CCONJ
iajs-3102	155	11	compares	compare	VERB
iajs-3102	155	12	the	the	DET
iajs-3102	155	13	classified	classified	ADJ
iajs-3102	155	14	data	datum	NOUN
iajs-3102	155	15	based	base	VERB
iajs-3102	155	16	on	on	ADP
iajs-3102	155	17	its	its	PRON
iajs-3102	155	18	real	real	ADJ
iajs-3102	155	19	class	class	NOUN
iajs-3102	155	20	label	label	NOUN
iajs-3102	155	21	.	.	PUNCT
iajs-3102	156	1	it	it	PRON
iajs-3102	156	2	indicates	indicate	VERB
iajs-3102	156	3	that	that	SCONJ
iajs-3102	156	4	,	,	PUNCT
iajs-3102	156	5	for	for	ADP
iajs-3102	156	6	each	each	DET
iajs-3102	156	7	machine	machine	NOUN
iajs-3102	156	8	learning	learn	VERB
iajs-3102	156	9	classifier	classifier	NOUN
iajs-3102	156	10	,	,	PUNCT
iajs-3102	156	11	the	the	PRON
iajs-3102	156	12	higher	high	ADJ
iajs-3102	156	13	the	the	DET
iajs-3102	156	14	accuracy	accuracy	NOUN
iajs-3102	156	15	,	,	PUNCT
iajs-3102	156	16	the	the	PRON
iajs-3102	156	17	better	well	ADJ
iajs-3102	156	18	the	the	DET
iajs-3102	156	19	model	model	NOUN
iajs-3102	156	20	will	will	AUX
iajs-3102	156	21	estimate	estimate	VERB
iajs-3102	156	22	the	the	DET
iajs-3102	156	23	real	real	ADJ
iajs-3102	156	24	class	class	NOUN
iajs-3102	156	25	.	.	PUNCT
iajs-3102	157	1	to	to	PART
iajs-3102	157	2	evaluate	evaluate	VERB
iajs-3102	157	3	the	the	DET
iajs-3102	157	4	performance	performance	NOUN
iajs-3102	157	5	,	,	PUNCT
iajs-3102	157	6	the	the	DET
iajs-3102	157	7	five	five	NUM
iajs-3102	157	8	most	most	ADV
iajs-3102	157	9	prevalent	prevalent	ADJ
iajs-3102	157	10	assessment	assessment	NOUN
iajs-3102	157	11	indices	index	NOUN
iajs-3102	157	12	were	be	AUX
iajs-3102	157	13	used	use	VERB
iajs-3102	157	14	:	:	PUNCT
iajs-3102	157	15	accuracy	accuracy	NOUN
iajs-3102	157	16	,	,	PUNCT
iajs-3102	157	17	precision	precision	NOUN
iajs-3102	157	18	,	,	PUNCT
iajs-3102	157	19	recall	recall	NOUN
iajs-3102	157	20	,	,	PUNCT
iajs-3102	157	21	f1	f1	NOUN
iajs-3102	157	22	-	-	PUNCT
iajs-3102	157	23	score	score	NOUN
iajs-3102	157	24	,	,	PUNCT
iajs-3102	157	25	and	and	CCONJ
iajs-3102	157	26	receiver	receiver	ADJ
iajs-3102	157	27	operating	operate	VERB
iajs-3102	157	28	character	character	NOUN
iajs-3102	157	29	curve	curve	NOUN
iajs-3102	157	30	(	(	PUNCT
iajs-3102	157	31	roc	roc	PROPN
iajs-3102	157	32	curve	curve	NOUN
iajs-3102	157	33	)	)	PUNCT
iajs-3102	157	34	.	.	PUNCT
iajs-3102	158	1	accuracy	accuracy	NOUN
iajs-3102	158	2	is	be	AUX
iajs-3102	158	3	the	the	DET
iajs-3102	158	4	most	most	ADV
iajs-3102	158	5	important	important	ADJ
iajs-3102	158	6	performance	performance	NOUN
iajs-3102	158	7	metric	metric	ADJ
iajs-3102	158	8	.	.	PUNCT
iajs-3102	159	1	the	the	DET
iajs-3102	159	2	accuracy	accuracy	NOUN
iajs-3102	159	3	of	of	ADP
iajs-3102	159	4	a	a	DET
iajs-3102	159	5	classifier	classifier	NOUN
iajs-3102	159	6	reveals	reveal	VERB
iajs-3102	159	7	its	its	PRON
iajs-3102	159	8	capacity	capacity	NOUN
iajs-3102	159	9	.	.	PUNCT
iajs-3102	160	1	the	the	PRON
iajs-3102	160	2	higher	high	ADJ
iajs-3102	160	3	the	the	DET
iajs-3102	160	4	accuracy	accuracy	NOUN
iajs-3102	160	5	,	,	PUNCT
iajs-3102	160	6	the	the	PRON
iajs-3102	160	7	better	well	ADJ
iajs-3102	160	8	the	the	DET
iajs-3102	160	9	classifier	classifier	NOUN
iajs-3102	160	10	.	.	PUNCT
iajs-3102	161	1	so	so	ADV
iajs-3102	161	2	,	,	PUNCT
iajs-3102	161	3	the	the	DET
iajs-3102	161	4	main	main	ADJ
iajs-3102	161	5	work	work	NOUN
iajs-3102	161	6	of	of	ADP
iajs-3102	161	7	our	our	PRON
iajs-3102	161	8	paper	paper	NOUN
iajs-3102	161	9	is	be	AUX
iajs-3102	161	10	to	to	PART
iajs-3102	161	11	determine	determine	VERB
iajs-3102	161	12	the	the	DET
iajs-3102	161	13	accuracy	accuracy	NOUN
iajs-3102	161	14	of	of	ADP
iajs-3102	161	15	all	all	DET
iajs-3102	161	16	three	three	NUM
iajs-3102	161	17	classification	classification	NOUN
iajs-3102	161	18	systems	system	NOUN
iajs-3102	161	19	.	.	PUNCT
iajs-3102	162	1	one	one	PRON
iajs-3102	162	2	will	will	AUX
iajs-3102	162	3	be	be	AUX
iajs-3102	162	4	more	more	ADV
iajs-3102	162	5	accurate	accurate	ADJ
iajs-3102	162	6	than	than	ADP
iajs-3102	162	7	the	the	DET
iajs-3102	162	8	others	other	NOUN
iajs-3102	162	9	,	,	PUNCT
iajs-3102	162	10	and	and	CCONJ
iajs-3102	162	11	this	this	PRON
iajs-3102	162	12	will	will	AUX
iajs-3102	162	13	be	be	AUX
iajs-3102	162	14	the	the	DET
iajs-3102	162	15	optimal	optimal	ADJ
iajs-3102	162	16	algorithm	algorithm	NOUN
iajs-3102	162	17	.	.	PUNCT
iajs-3102	163	1	accuracy	accuracy	NOUN
iajs-3102	163	2	is	be	AUX
iajs-3102	163	3	the	the	DET
iajs-3102	163	4	computation	computation	NOUN
iajs-3102	163	5	of	of	ADP
iajs-3102	163	6	all	all	DET
iajs-3102	163	7	the	the	DET
iajs-3102	163	8	actual	actual	ADJ
iajs-3102	163	9	groups	group	NOUN
iajs-3102	163	10	that	that	PRON
iajs-3102	163	11	were	be	AUX
iajs-3102	163	12	successfully	successfully	ADV
iajs-3102	163	13	predicted	predict	VERB
iajs-3102	163	14	per	per	ADP
iajs-3102	163	15	the	the	DET
iajs-3102	163	16	total	total	ADJ
iajs-3102	163	17	testing	testing	NOUN
iajs-3102	163	18	;	;	PUNCT
iajs-3102	163	19	see	see	VERB
iajs-3102	163	20	the	the	DET
iajs-3102	163	21	below	below	ADJ
iajs-3102	163	22	equation	equation	NOUN
iajs-3102	163	23	:	:	PUNCT
iajs-3102	163	24	𝐴𝑐𝑐𝑢𝑟𝑎𝑐𝑦	𝐴𝑐𝑐𝑢𝑟𝑎𝑐𝑦	PROPN
iajs-3102	163	25	=	=	SYM
iajs-3102	163	26	𝑐𝑜𝑟𝑒𝑐𝑡𝑙𝑦	𝑐𝑜𝑟𝑒𝑐𝑡𝑙𝑦	PROPN
iajs-3102	163	27	𝑝𝑟𝑒𝑑𝑖𝑐𝑡𝑒𝑑	𝑝𝑟𝑒𝑑𝑖𝑐𝑡𝑒𝑑	PROPN
iajs-3102	163	28	𝑐𝑙𝑎𝑠𝑠	𝑐𝑙𝑎𝑠𝑠	PROPN
iajs-3102	163	29	𝑡𝑜𝑡𝑎𝑙	𝑡𝑜𝑡𝑎𝑙	PROPN
iajs-3102	163	30	𝑡𝑒𝑠𝑡𝑖𝑛𝑔	𝑡𝑒𝑠𝑡𝑖𝑛𝑔	VERB
iajs-3102	163	31	𝑐𝑙𝑎𝑠𝑠	𝑐𝑙𝑎𝑠𝑠	PROPN
iajs-3102	163	32	×	×	PROPN
iajs-3102	163	33	100	100	NUM
iajs-3102	163	34	%	%	NOUN
iajs-3102	163	35	(	(	PUNCT
iajs-3102	163	36	2	2	NUM
iajs-3102	163	37	)	)	PUNCT
iajs-3102	163	38	precision	precision	NOUN
iajs-3102	163	39	is	be	AUX
iajs-3102	163	40	the	the	DET
iajs-3102	163	41	capacity	capacity	NOUN
iajs-3102	163	42	of	of	ADP
iajs-3102	163	43	a	a	DET
iajs-3102	163	44	classification	classification	NOUN
iajs-3102	163	45	algorithm	algorithm	NOUN
iajs-3102	163	46	to	to	PART
iajs-3102	163	47	detect	detect	VERB
iajs-3102	163	48	only	only	ADV
iajs-3102	163	49	relevant	relevant	ADJ
iajs-3102	163	50	items	item	NOUN
iajs-3102	163	51	.	.	PUNCT
iajs-3102	164	1	precision	precision	NOUN
iajs-3102	164	2	is	be	AUX
iajs-3102	164	3	calculated	calculate	VERB
iajs-3102	164	4	by	by	ADP
iajs-3102	164	5	dividing	divide	VERB
iajs-3102	164	6	the	the	DET
iajs-3102	164	7	number	number	NOUN
iajs-3102	164	8	of	of	ADP
iajs-3102	164	9	true	true	ADJ
iajs-3102	164	10	positives	positive	NOUN
iajs-3102	164	11	by	by	ADP
iajs-3102	164	12	the	the	DET
iajs-3102	164	13	number	number	NOUN
iajs-3102	164	14	of	of	ADP
iajs-3102	164	15	true	true	ADJ
iajs-3102	164	16	positives	positive	NOUN
iajs-3102	164	17	plus	plus	CCONJ
iajs-3102	164	18	the	the	DET
iajs-3102	164	19	number	number	NOUN
iajs-3102	164	20	ihjpas	ihjpa	VERB
iajs-3102	164	21	.	.	PUNCT
iajs-3102	165	1	36(1)2023	36(1)2023	NUM
iajs-3102	165	2	457	457	NUM
iajs-3102	165	3	of	of	ADP
iajs-3102	165	4	false	false	ADJ
iajs-3102	165	5	positives	positive	NOUN
iajs-3102	165	6	.	.	PUNCT
iajs-3102	166	1	recall	recall	NOUN
iajs-3102	166	2	is	be	AUX
iajs-3102	166	3	the	the	DET
iajs-3102	166	4	capacity	capacity	NOUN
iajs-3102	166	5	of	of	ADP
iajs-3102	166	6	a	a	DET
iajs-3102	166	7	model	model	NOUN
iajs-3102	166	8	to	to	PART
iajs-3102	166	9	discover	discover	VERB
iajs-3102	166	10	all	all	DET
iajs-3102	166	11	relevant	relevant	ADJ
iajs-3102	166	12	situations	situation	NOUN
iajs-3102	166	13	within	within	ADP
iajs-3102	166	14	a	a	DET
iajs-3102	166	15	data	datum	NOUN
iajs-3102	166	16	collection	collection	NOUN
iajs-3102	166	17	.	.	PUNCT
iajs-3102	167	1	recall	recall	PROPN
iajs-3102	167	2	is	be	AUX
iajs-3102	167	3	calculated	calculate	VERB
iajs-3102	167	4	by	by	ADP
iajs-3102	167	5	dividing	divide	VERB
iajs-3102	167	6	the	the	DET
iajs-3102	167	7	number	number	NOUN
iajs-3102	167	8	of	of	ADP
iajs-3102	167	9	true	true	ADJ
iajs-3102	167	10	positives	positive	NOUN
iajs-3102	167	11	by	by	ADP
iajs-3102	167	12	the	the	DET
iajs-3102	167	13	number	number	NOUN
iajs-3102	167	14	of	of	ADP
iajs-3102	167	15	true	true	ADJ
iajs-3102	167	16	positives	positive	NOUN
iajs-3102	167	17	plus	plus	CCONJ
iajs-3102	167	18	the	the	DET
iajs-3102	167	19	number	number	NOUN
iajs-3102	167	20	of	of	ADP
iajs-3102	167	21	false	false	ADJ
iajs-3102	167	22	negatives	negative	NOUN
iajs-3102	167	23	,	,	PUNCT
iajs-3102	167	24	as	as	SCONJ
iajs-3102	167	25	shown	show	VERB
iajs-3102	167	26	in	in	ADP
iajs-3102	167	27	equations	equation	NOUN
iajs-3102	167	28	(	(	PUNCT
iajs-3102	167	29	3	3	NUM
iajs-3102	167	30	)	)	PUNCT
iajs-3102	167	31	and	and	CCONJ
iajs-3102	167	32	(	(	PUNCT
iajs-3102	167	33	4	4	NUM
iajs-3102	167	34	):	):	PUNCT
iajs-3102	168	1	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	PROPN
iajs-3102	168	2	=	=	SYM
iajs-3102	168	3	𝑇𝑟𝑢𝑒	𝑇𝑟𝑢𝑒	PROPN
iajs-3102	168	4	𝑝𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	𝑝𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	ADJ
iajs-3102	168	5	𝑇𝑟𝑢𝑒	𝑇𝑟𝑢𝑒	PROPN
iajs-3102	168	6	𝑝𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠+𝑓𝑙𝑎𝑠𝑒	𝑝𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠+𝑓𝑙𝑎𝑠𝑒	PROPN
iajs-3102	168	7	𝑝𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	𝑝𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	ADJ
iajs-3102	168	8	(	(	PUNCT
iajs-3102	168	9	3	3	X
iajs-3102	168	10	)	)	PUNCT
iajs-3102	168	11	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
iajs-3102	168	12	=	=	SYM
iajs-3102	168	13	𝑇𝑟𝑢𝑒	𝑇𝑟𝑢𝑒	PROPN
iajs-3102	168	14	𝑝𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	𝑝𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	ADJ
iajs-3102	168	15	𝑇𝑟𝑢𝑒	𝑇𝑟𝑢𝑒	PROPN
iajs-3102	168	16	𝑝𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠+𝑓𝑙𝑎𝑠𝑒	𝑝𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠+𝑓𝑙𝑎𝑠𝑒	PROPN
iajs-3102	168	17	𝑛𝑒𝑔𝑎𝑡𝑖𝑣𝑒𝑠	𝑛𝑒𝑔𝑎𝑡𝑖𝑣𝑒𝑠	VERB
iajs-3102	168	18	(	(	PUNCT
iajs-3102	168	19	4	4	NUM
iajs-3102	168	20	)	)	PUNCT
iajs-3102	168	21	true	true	ADJ
iajs-3102	168	22	positives	positive	NOUN
iajs-3102	168	23	are	be	AUX
iajs-3102	168	24	data	datum	NOUN
iajs-3102	168	25	values	value	NOUN
iajs-3102	168	26	that	that	SCONJ
iajs-3102	168	27	the	the	DET
iajs-3102	168	28	model	model	NOUN
iajs-3102	168	29	classifies	classify	VERB
iajs-3102	168	30	as	as	ADP
iajs-3102	168	31	correct	correct	ADJ
iajs-3102	168	32	,	,	PUNCT
iajs-3102	168	33	false	false	ADJ
iajs-3102	168	34	positives	positive	NOUN
iajs-3102	168	35	are	be	AUX
iajs-3102	168	36	data	datum	NOUN
iajs-3102	168	37	values	value	NOUN
iajs-3102	168	38	that	that	SCONJ
iajs-3102	168	39	the	the	DET
iajs-3102	168	40	model	model	NOUN
iajs-3102	168	41	wrongly	wrongly	ADV
iajs-3102	168	42	identifies	identify	VERB
iajs-3102	168	43	as	as	ADP
iajs-3102	168	44	positive	positive	ADJ
iajs-3102	168	45	but	but	CCONJ
iajs-3102	168	46	are	be	AUX
iajs-3102	168	47	actually	actually	ADV
iajs-3102	168	48	negative	negative	ADJ
iajs-3102	168	49	,	,	PUNCT
iajs-3102	168	50	and	and	CCONJ
iajs-3102	168	51	false	false	ADJ
iajs-3102	168	52	negatives	negative	NOUN
iajs-3102	168	53	are	be	AUX
iajs-3102	168	54	data	datum	NOUN
iajs-3102	168	55	items	item	NOUN
iajs-3102	168	56	identified	identify	VERB
iajs-3102	168	57	as	as	ADP
iajs-3102	168	58	negative	negative	ADJ
iajs-3102	168	59	by	by	ADP
iajs-3102	168	60	the	the	DET
iajs-3102	168	61	model	model	NOUN
iajs-3102	168	62	but	but	CCONJ
iajs-3102	168	63	are	be	AUX
iajs-3102	168	64	really	really	ADV
iajs-3102	168	65	positive	positive	ADJ
iajs-3102	168	66	.	.	PUNCT
iajs-3102	169	1	the	the	PRON
iajs-3102	169	2	higher	high	ADJ
iajs-3102	169	3	the	the	DET
iajs-3102	169	4	accuracy	accuracy	NOUN
iajs-3102	169	5	and	and	CCONJ
iajs-3102	169	6	recall	recall	NOUN
iajs-3102	169	7	,	,	PUNCT
iajs-3102	169	8	the	the	PRON
iajs-3102	169	9	better	well	ADJ
iajs-3102	169	10	the	the	DET
iajs-3102	169	11	model	model	NOUN
iajs-3102	169	12	's	's	PART
iajs-3102	169	13	output	output	NOUN
iajs-3102	169	14	.	.	PUNCT
iajs-3102	170	1	however	however	ADV
iajs-3102	170	2	,	,	PUNCT
iajs-3102	170	3	in	in	ADP
iajs-3102	170	4	other	other	ADJ
iajs-3102	170	5	cases	case	NOUN
iajs-3102	170	6	,	,	PUNCT
iajs-3102	170	7	the	the	DET
iajs-3102	170	8	two	two	NUM
iajs-3102	170	9	contradict	contradict	VERB
iajs-3102	170	10	each	each	DET
iajs-3102	170	11	other	other	ADJ
iajs-3102	170	12	.	.	PUNCT
iajs-3102	171	1	f1	f1	NOUN
iajs-3102	171	2	-	-	PUNCT
iajs-3102	171	3	score	score	NOUN
iajs-3102	171	4	is	be	AUX
iajs-3102	171	5	also	also	ADV
iajs-3102	171	6	called	call	VERB
iajs-3102	171	7	f	f	PROPN
iajs-3102	171	8	measure	measure	NOUN
iajs-3102	171	9	.	.	PUNCT
iajs-3102	172	1	the	the	DET
iajs-3102	172	2	test	test	NOUN
iajs-3102	172	3	accuracy	accuracy	NOUN
iajs-3102	172	4	in	in	ADP
iajs-3102	172	5	supervised	supervised	ADJ
iajs-3102	172	6	learning	learning	NOUN
iajs-3102	172	7	issues	issue	NOUN
iajs-3102	172	8	is	be	AUX
iajs-3102	172	9	measured	measure	VERB
iajs-3102	172	10	by	by	ADP
iajs-3102	172	11	f1	f1	NOUN
iajs-3102	172	12	-	-	PUNCT
iajs-3102	172	13	score	score	NOUN
iajs-3102	172	14	.	.	PUNCT
iajs-3102	173	1	f1	f1	NOUN
iajs-3102	173	2	-	-	PUNCT
iajs-3102	173	3	score	score	NOUN
iajs-3102	173	4	is	be	AUX
iajs-3102	173	5	the	the	DET
iajs-3102	173	6	measure	measure	NOUN
iajs-3102	173	7	of	of	ADP
iajs-3102	173	8	mean	mean	ADJ
iajs-3102	173	9	precision	precision	NOUN
iajs-3102	173	10	and	and	CCONJ
iajs-3102	173	11	recall	recall	VERB
iajs-3102	173	12	𝐹1	𝐹1	PROPN
iajs-3102	173	13	−	−	PROPN
iajs-3102	173	14	𝑆𝑐𝑜𝑟𝑒	𝑆𝑐𝑜𝑟𝑒	PROPN
iajs-3102	173	15	=	=	PUNCT
iajs-3102	173	16	2×	2×	NUM
iajs-3102	174	1	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	PROPN
iajs-3102	174	2	×	×	NOUN
iajs-3102	174	3	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
iajs-3102	174	4	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	PROPN
iajs-3102	174	5	+	+	CCONJ
iajs-3102	174	6	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
iajs-3102	174	7	(	(	PUNCT
iajs-3102	174	8	5	5	NUM
iajs-3102	174	9	)	)	PUNCT
iajs-3102	174	10	figure	figure	NOUN
iajs-3102	174	11	4	4	NUM
iajs-3102	174	12	depicts	depict	VERB
iajs-3102	174	13	the	the	DET
iajs-3102	174	14	accuracy	accuracy	NOUN
iajs-3102	174	15	,	,	PUNCT
iajs-3102	174	16	precision	precision	NOUN
iajs-3102	174	17	,	,	PUNCT
iajs-3102	174	18	recall	recall	NOUN
iajs-3102	174	19	,	,	PUNCT
iajs-3102	174	20	and	and	CCONJ
iajs-3102	174	21	f1	f1	ADJ
iajs-3102	174	22	-	-	PUNCT
iajs-3102	174	23	score	score	NOUN
iajs-3102	174	24	results	result	NOUN
iajs-3102	174	25	for	for	ADP
iajs-3102	174	26	the	the	DET
iajs-3102	174	27	knn	knn	PROPN
iajs-3102	174	28	,	,	PUNCT
iajs-3102	174	29	dt	dt	X
iajs-3102	174	30	,	,	PUNCT
iajs-3102	174	31	and	and	CCONJ
iajs-3102	174	32	ec	ec	PROPN
iajs-3102	174	33	algorithms	algorithm	NOUN
iajs-3102	174	34	.	.	PUNCT
iajs-3102	175	1	from	from	ADP
iajs-3102	175	2	the	the	DET
iajs-3102	175	3	figure	figure	NOUN
iajs-3102	175	4	,	,	PUNCT
iajs-3102	175	5	it	it	PRON
iajs-3102	175	6	can	can	AUX
iajs-3102	175	7	be	be	AUX
iajs-3102	175	8	seen	see	VERB
iajs-3102	175	9	that	that	SCONJ
iajs-3102	175	10	the	the	DET
iajs-3102	175	11	three	three	NUM
iajs-3102	175	12	algorithms	algorithm	NOUN
iajs-3102	175	13	have	have	VERB
iajs-3102	175	14	good	good	ADJ
iajs-3102	175	15	performance	performance	NOUN
iajs-3102	175	16	for	for	ADP
iajs-3102	175	17	all	all	DET
iajs-3102	175	18	classification	classification	NOUN
iajs-3102	175	19	results	result	NOUN
iajs-3102	175	20	,	,	PUNCT
iajs-3102	175	21	but	but	CCONJ
iajs-3102	175	22	the	the	DET
iajs-3102	175	23	ec	ec	PROPN
iajs-3102	175	24	model	model	NOUN
iajs-3102	175	25	outperformed	outperform	VERB
iajs-3102	175	26	them	they	PRON
iajs-3102	175	27	in	in	ADP
iajs-3102	175	28	terms	term	NOUN
iajs-3102	175	29	of	of	ADP
iajs-3102	175	30	accuracy	accuracy	NOUN
iajs-3102	175	31	with	with	ADP
iajs-3102	175	32	a	a	DET
iajs-3102	175	33	value	value	NOUN
iajs-3102	175	34	of	of	ADP
iajs-3102	175	35	0.94	0.94	NUM
iajs-3102	175	36	and	and	CCONJ
iajs-3102	175	37	precision	precision	NOUN
iajs-3102	175	38	,	,	PUNCT
iajs-3102	175	39	recall	recall	NOUN
iajs-3102	175	40	,	,	PUNCT
iajs-3102	175	41	and	and	CCONJ
iajs-3102	175	42	f1	f1	NOUN
iajs-3102	175	43	-	-	PUNCT
iajs-3102	175	44	score	score	NOUN
iajs-3102	175	45	with	with	ADP
iajs-3102	175	46	a	a	DET
iajs-3102	175	47	value	value	NOUN
iajs-3102	175	48	of	of	ADP
iajs-3102	175	49	0.92	0.92	NUM
iajs-3102	175	50	for	for	ADP
iajs-3102	175	51	all	all	PRON
iajs-3102	175	52	of	of	ADP
iajs-3102	175	53	them	they	PRON
iajs-3102	175	54	.	.	PUNCT
iajs-3102	176	1	figure4	figure4	ADJ
iajs-3102	176	2	.	.	PUNCT
iajs-3102	177	1	the	the	DET
iajs-3102	177	2	results	result	NOUN
iajs-3102	177	3	of	of	ADP
iajs-3102	177	4	accuracy	accuracy	NOUN
iajs-3102	177	5	,	,	PUNCT
iajs-3102	177	6	precision	precision	NOUN
iajs-3102	177	7	,	,	PUNCT
iajs-3102	177	8	recall	recall	NOUN
iajs-3102	177	9	and	and	CCONJ
iajs-3102	177	10	f1	f1	NOUN
iajs-3102	177	11	-	-	PUNCT
iajs-3102	177	12	scor	scor	NOUN
iajs-3102	177	13	for	for	ADP
iajs-3102	177	14	knn	knn	PROPN
iajs-3102	177	15	,	,	PUNCT
iajs-3102	177	16	dt	dt	PUNCT
iajs-3102	177	17	and	and	CCONJ
iajs-3102	177	18	ec	ec	PROPN
iajs-3102	177	19	algorithms	algorithm	NOUN
iajs-3102	177	20	on	on	ADP
iajs-3102	177	21	the	the	DET
iajs-3102	177	22	other	other	ADJ
iajs-3102	177	23	hand	hand	NOUN
iajs-3102	177	24	,	,	PUNCT
iajs-3102	177	25	the	the	DET
iajs-3102	177	26	roc	roc	PROPN
iajs-3102	177	27	(	(	PUNCT
iajs-3102	177	28	receiver	receiver	ADJ
iajs-3102	177	29	operating	operating	NOUN
iajs-3102	177	30	characteristics	characteristic	NOUN
iajs-3102	177	31	)	)	PUNCT
iajs-3102	177	32	curve	curve	NOUN
iajs-3102	177	33	is	be	AUX
iajs-3102	177	34	utilized	utilize	VERB
iajs-3102	177	35	to	to	PART
iajs-3102	177	36	assess	assess	VERB
iajs-3102	177	37	classifier	classifier	NOUN
iajs-3102	177	38	output	output	NOUN
iajs-3102	177	39	quality	quality	NOUN
iajs-3102	177	40	.	.	PUNCT
iajs-3102	178	1	it	it	PRON
iajs-3102	178	2	is	be	AUX
iajs-3102	178	3	one	one	NUM
iajs-3102	178	4	of	of	ADP
iajs-3102	178	5	the	the	DET
iajs-3102	178	6	most	most	ADV
iajs-3102	178	7	critical	critical	ADJ
iajs-3102	178	8	evaluation	evaluation	NOUN
iajs-3102	178	9	criteria	criterion	NOUN
iajs-3102	178	10	for	for	ADP
iajs-3102	178	11	determining	determine	VERB
iajs-3102	178	12	the	the	DET
iajs-3102	178	13	effectiveness	effectiveness	NOUN
iajs-3102	178	14	of	of	ADP
iajs-3102	178	15	any	any	DET
iajs-3102	178	16	classification	classification	NOUN
iajs-3102	178	17	technique	technique	NOUN
iajs-3102	178	18	.	.	PUNCT
iajs-3102	179	1	unlike	unlike	ADP
iajs-3102	179	2	most	most	ADJ
iajs-3102	179	3	other	other	ADJ
iajs-3102	179	4	metrics	metric	NOUN
iajs-3102	179	5	,	,	PUNCT
iajs-3102	179	6	it	it	PRON
iajs-3102	179	7	gives	give	VERB
iajs-3102	179	8	a	a	DET
iajs-3102	179	9	graphical	graphical	ADJ
iajs-3102	179	10	depiction	depiction	NOUN
iajs-3102	179	11	of	of	ADP
iajs-3102	179	12	a	a	DET
iajs-3102	179	13	classifier	classifier	NOUN
iajs-3102	179	14	's	's	PART
iajs-3102	179	15	performance	performance	NOUN
iajs-3102	179	16	rather	rather	ADV
iajs-3102	179	17	than	than	ADP
iajs-3102	179	18	only	only	ADV
iajs-3102	179	19	one	one	NUM
iajs-3102	179	20	value	value	NOUN
iajs-3102	179	21	.	.	PUNCT
iajs-3102	180	1	classifiers	classifier	NOUN
iajs-3102	180	2	on	on	ADP
iajs-3102	180	3	the	the	DET
iajs-3102	180	4	roc	roc	PROPN
iajs-3102	180	5	graph	graph	NOUN
iajs-3102	180	6	can	can	AUX
iajs-3102	180	7	be	be	AUX
iajs-3102	180	8	assessed	assess	VERB
iajs-3102	180	9	simply	simply	ADV
iajs-3102	180	10	by	by	ADP
iajs-3102	180	11	examining	examine	VERB
iajs-3102	180	12	their	their	PRON
iajs-3102	180	13	location	location	NOUN
iajs-3102	180	14	.	.	PUNCT
iajs-3102	181	1	roc	roc	PROPN
iajs-3102	181	2	curves	curve	NOUN
iajs-3102	181	3	are	be	AUX
iajs-3102	181	4	commonly	commonly	ADV
iajs-3102	181	5	used	use	VERB
iajs-3102	181	6	in	in	ADP
iajs-3102	181	7	binary	binary	ADJ
iajs-3102	181	8	classification	classification	NOUN
iajs-3102	181	9	to	to	PART
iajs-3102	181	10	investigate	investigate	VERB
iajs-3102	181	11	a	a	DET
iajs-3102	181	12	classifier	classifier	NOUN
iajs-3102	181	13	's	's	PART
iajs-3102	181	14	performance	performance	NOUN
iajs-3102	181	15	.	.	PUNCT
iajs-3102	182	1	the	the	DET
iajs-3102	182	2	roc	roc	PROPN
iajs-3102	182	3	curve	curve	NOUN
iajs-3102	182	4	is	be	AUX
iajs-3102	182	5	extended	extend	VERB
iajs-3102	182	6	for	for	ADP
iajs-3102	182	7	multi	multi	ADJ
iajs-3102	182	8	-	-	ADJ
iajs-3102	182	9	class	class	ADJ
iajs-3102	182	10	classification	classification	NOUN
iajs-3102	182	11	,	,	PUNCT
iajs-3102	182	12	and	and	CCONJ
iajs-3102	182	13	the	the	DET
iajs-3102	182	14	output	output	NOUN
iajs-3102	182	15	must	must	AUX
iajs-3102	182	16	be	be	AUX
iajs-3102	182	17	binarized	binarize	VERB
iajs-3102	182	18	.	.	PUNCT
iajs-3102	183	1	in	in	ADP
iajs-3102	183	2	this	this	DET
iajs-3102	183	3	study	study	NOUN
iajs-3102	183	4	,	,	PUNCT
iajs-3102	183	5	four	four	NUM
iajs-3102	183	6	roc	roc	PROPN
iajs-3102	183	7	curves	curve	NOUN
iajs-3102	183	8	can	can	AUX
iajs-3102	183	9	be	be	AUX
iajs-3102	183	10	created	create	VERB
iajs-3102	183	11	,	,	PUNCT
iajs-3102	183	12	one	one	NUM
iajs-3102	183	13	for	for	ADP
iajs-3102	183	14	each	each	DET
iajs-3102	183	15	label	label	NOUN
iajs-3102	183	16	,	,	PUNCT
iajs-3102	183	17	as	as	SCONJ
iajs-3102	183	18	shown	show	VERB
iajs-3102	183	19	in	in	ADP
iajs-3102	183	20	figure	figure	NOUN
iajs-3102	183	21	5	5	NUM
iajs-3102	183	22	.	.	PUNCT
iajs-3102	183	23	true	true	ADJ
iajs-3102	183	24	positive	positive	ADJ
iajs-3102	183	25	numbers	number	NOUN
iajs-3102	183	26	are	be	AUX
iajs-3102	183	27	on	on	ADP
iajs-3102	183	28	the	the	DET
iajs-3102	183	29	y	y	NOUN
iajs-3102	183	30	-	-	PUNCT
iajs-3102	183	31	axis	axis	NOUN
iajs-3102	183	32	,	,	PUNCT
iajs-3102	183	33	whereas	whereas	SCONJ
iajs-3102	183	34	false	false	ADJ
iajs-3102	183	35	positives	positive	NOUN
iajs-3102	183	36	are	be	AUX
iajs-3102	183	37	on	on	ADP
iajs-3102	183	38	the	the	DET
iajs-3102	183	39	x	x	NOUN
iajs-3102	183	40	-	-	NOUN
iajs-3102	183	41	axis	axis	NOUN
iajs-3102	183	42	.	.	PUNCT
iajs-3102	184	1	the	the	DET
iajs-3102	184	2	area	area	NOUN
iajs-3102	184	3	under	under	ADP
iajs-3102	184	4	each	each	DET
iajs-3102	184	5	0.94	0.94	NUM
iajs-3102	184	6	0.92	0.92	NUM
iajs-3102	184	7	0.92	0.92	NUM
iajs-3102	184	8	0.920.92	0.920.92	NUM
iajs-3102	185	1	0.88	0.88	NUM
iajs-3102	185	2	0.88	0.88	NUM
iajs-3102	185	3	0.88	0.88	NUM
iajs-3102	185	4	0.91	0.91	NUM
iajs-3102	185	5	0.84	0.84	NUM
iajs-3102	185	6	0.84	0.84	NUM
iajs-3102	185	7	0.84	0.84	NUM
iajs-3102	185	8	0.78	0.78	NUM
iajs-3102	185	9	0.8	0.8	NUM
iajs-3102	185	10	0.82	0.82	NUM
iajs-3102	185	11	0.84	0.84	NUM
iajs-3102	185	12	0.86	0.86	NUM
iajs-3102	185	13	0.88	0.88	NUM
iajs-3102	185	14	0.9	0.9	NUM
iajs-3102	185	15	0.92	0.92	NUM
iajs-3102	185	16	0.94	0.94	NUM
iajs-3102	185	17	0.96	0.96	NUM
iajs-3102	185	18	accuracy	accuracy	NOUN
iajs-3102	185	19	recall	recall	NOUN
iajs-3102	185	20	precision	precision	NOUN
iajs-3102	185	21	f1	f1	NOUN
iajs-3102	185	22	-	-	PUNCT
iajs-3102	185	23	score	score	NOUN
iajs-3102	185	24	classification	classification	NOUN
iajs-3102	185	25	results	result	VERB
iajs-3102	185	26	ec	ec	PROPN
iajs-3102	185	27	dt	dt	PROPN
iajs-3102	185	28	knn	knn	PROPN
iajs-3102	185	29	ihjpas	ihjpas	PROPN
iajs-3102	185	30	.	.	PUNCT
iajs-3102	186	1	36(1)2023	36(1)2023	NUM
iajs-3102	186	2	458	458	NUM
iajs-3102	186	3	algorithm	algorithm	NOUN
iajs-3102	186	4	's	's	PART
iajs-3102	186	5	roc	roc	PROPN
iajs-3102	186	6	curves	curve	NOUN
iajs-3102	186	7	was	be	AUX
iajs-3102	186	8	used	use	VERB
iajs-3102	186	9	to	to	PART
iajs-3102	186	10	compare	compare	VERB
iajs-3102	186	11	its	its	PRON
iajs-3102	186	12	classification	classification	NOUN
iajs-3102	186	13	performance	performance	NOUN
iajs-3102	186	14	on	on	ADP
iajs-3102	186	15	a	a	DET
iajs-3102	186	16	synthetic	synthetic	ADJ
iajs-3102	186	17	set	set	NOUN
iajs-3102	186	18	of	of	ADP
iajs-3102	186	19	data	datum	NOUN
iajs-3102	186	20	.	.	PUNCT
iajs-3102	187	1	if	if	SCONJ
iajs-3102	187	2	a	a	DET
iajs-3102	187	3	classifier	classifier	NOUN
iajs-3102	187	4	has	have	VERB
iajs-3102	187	5	one	one	NUM
iajs-3102	187	6	value	value	NOUN
iajs-3102	187	7	of	of	ADP
iajs-3102	187	8	area	area	NOUN
iajs-3102	187	9	under	under	ADP
iajs-3102	187	10	the	the	DET
iajs-3102	187	11	algorithm	algorithm	NOUN
iajs-3102	187	12	’s	’s	PART
iajs-3102	187	13	roc	roc	PROPN
iajs-3102	187	14	curve	curve	NOUN
iajs-3102	187	15	,	,	PUNCT
iajs-3102	187	16	then	then	ADV
iajs-3102	187	17	the	the	DET
iajs-3102	187	18	classifier	classifier	NOUN
iajs-3102	187	19	is	be	AUX
iajs-3102	187	20	very	very	ADV
iajs-3102	187	21	precise	precise	ADJ
iajs-3102	187	22	.	.	PUNCT
iajs-3102	188	1	classifiers	classifier	NOUN
iajs-3102	188	2	that	that	PRON
iajs-3102	188	3	produce	produce	VERB
iajs-3102	188	4	curves	curve	NOUN
iajs-3102	188	5	closer	close	ADV
iajs-3102	188	6	to	to	ADP
iajs-3102	188	7	the	the	DET
iajs-3102	188	8	top	top	ADV
iajs-3102	188	9	-	-	PUNCT
iajs-3102	188	10	left	leave	VERB
iajs-3102	188	11	corner	corner	NOUN
iajs-3102	188	12	perform	perform	VERB
iajs-3102	188	13	better	well	ADV
iajs-3102	188	14	.	.	PUNCT
iajs-3102	189	1	if	if	SCONJ
iajs-3102	189	2	the	the	DET
iajs-3102	189	3	curve	curve	NOUN
iajs-3102	189	4	approaches	approach	VERB
iajs-3102	189	5	the	the	DET
iajs-3102	189	6	roc	roc	PROPN
iajs-3102	189	7	's	's	PART
iajs-3102	189	8	45	45	NUM
iajs-3102	189	9	-	-	PUNCT
iajs-3102	189	10	degree	degree	NOUN
iajs-3102	189	11	diagonal	diagonal	ADJ
iajs-3102	189	12	space	space	NOUN
iajs-3102	189	13	,	,	PUNCT
iajs-3102	189	14	the	the	DET
iajs-3102	189	15	classifying	classify	VERB
iajs-3102	189	16	data	datum	NOUN
iajs-3102	189	17	becomes	become	VERB
iajs-3102	189	18	less	less	ADV
iajs-3102	189	19	exact	exact	ADJ
iajs-3102	189	20	.	.	PUNCT
iajs-3102	190	1	figures	figure	NOUN
iajs-3102	190	2	(	(	PUNCT
iajs-3102	190	3	5a-5c	5a-5c	NOUN
iajs-3102	190	4	)	)	PUNCT
iajs-3102	190	5	show	show	VERB
iajs-3102	190	6	the	the	DET
iajs-3102	190	7	roc	roc	PROPN
iajs-3102	190	8	curves	curve	NOUN
iajs-3102	190	9	for	for	ADP
iajs-3102	190	10	the	the	DET
iajs-3102	190	11	three	three	NUM
iajs-3102	190	12	algorithms	algorithm	NOUN
iajs-3102	190	13	of	of	ADP
iajs-3102	190	14	machine	machine	NOUN
iajs-3102	190	15	learning	learning	NOUN
iajs-3102	190	16	:	:	PUNCT
iajs-3102	190	17	knn	knn	PROPN
iajs-3102	190	18	,	,	PUNCT
iajs-3102	190	19	dt	dt	X
iajs-3102	190	20	,	,	PUNCT
iajs-3102	190	21	and	and	CCONJ
iajs-3102	190	22	ec	ec	PROPN
iajs-3102	190	23	,	,	PUNCT
iajs-3102	190	24	respectively	respectively	ADV
iajs-3102	190	25	.	.	PUNCT
iajs-3102	191	1	figure	figure	NOUN
iajs-3102	191	2	(	(	PUNCT
iajs-3102	191	3	5c	5c	NUM
iajs-3102	191	4	)	)	PUNCT
iajs-3102	191	5	reflects	reflect	VERB
iajs-3102	191	6	the	the	DET
iajs-3102	191	7	roc	roc	PROPN
iajs-3102	191	8	curve	curve	NOUN
iajs-3102	191	9	of	of	ADP
iajs-3102	191	10	the	the	DET
iajs-3102	191	11	ec	ec	PROPN
iajs-3102	191	12	model	model	NOUN
iajs-3102	191	13	,	,	PUNCT
iajs-3102	191	14	which	which	PRON
iajs-3102	191	15	is	be	AUX
iajs-3102	191	16	considered	consider	VERB
iajs-3102	191	17	the	the	DET
iajs-3102	191	18	ideal	ideal	ADJ
iajs-3102	191	19	classifier	classifier	NOUN
iajs-3102	191	20	because	because	SCONJ
iajs-3102	191	21	it	it	PRON
iajs-3102	191	22	has	have	VERB
iajs-3102	191	23	1	1	NUM
iajs-3102	191	24	value	value	NOUN
iajs-3102	191	25	of	of	ADP
iajs-3102	191	26	area	area	NOUN
iajs-3102	191	27	under	under	ADP
iajs-3102	191	28	the	the	DET
iajs-3102	191	29	roc	roc	PROPN
iajs-3102	191	30	curve	curve	NOUN
iajs-3102	191	31	,	,	PUNCT
iajs-3102	191	32	so	so	SCONJ
iajs-3102	191	33	the	the	DET
iajs-3102	191	34	model	model	NOUN
iajs-3102	191	35	is	be	AUX
iajs-3102	191	36	more	more	ADV
iajs-3102	191	37	accurate	accurate	ADJ
iajs-3102	191	38	than	than	ADP
iajs-3102	191	39	the	the	DET
iajs-3102	191	40	other	other	ADJ
iajs-3102	191	41	models	model	NOUN
iajs-3102	191	42	of	of	ADP
iajs-3102	191	43	classification	classification	NOUN
iajs-3102	191	44	.	.	PUNCT
iajs-3102	192	1	figure5	figure5	NOUN
iajs-3102	192	2	.	.	PUNCT
iajs-3102	193	1	roc	roc	PROPN
iajs-3102	193	2	curves	curve	NOUN
iajs-3102	193	3	for	for	ADP
iajs-3102	193	4	(	(	PUNCT
iajs-3102	193	5	a	a	PRON
iajs-3102	193	6	)	)	PUNCT
iajs-3102	193	7	knn	knn	PROPN
iajs-3102	193	8	(	(	PUNCT
iajs-3102	193	9	b	b	NOUN
iajs-3102	193	10	)	)	PUNCT
iajs-3102	193	11	dt	dt	NOUN
iajs-3102	193	12	(	(	PUNCT
iajs-3102	193	13	c	c	X
iajs-3102	193	14	)	)	PUNCT
iajs-3102	193	15	ec	ec	PROPN
iajs-3102	193	16	based	base	VERB
iajs-3102	193	17	on	on	ADP
iajs-3102	193	18	the	the	DET
iajs-3102	193	19	results	result	NOUN
iajs-3102	193	20	from	from	ADP
iajs-3102	193	21	figures	figure	NOUN
iajs-3102	193	22	4	4	NUM
iajs-3102	193	23	and	and	CCONJ
iajs-3102	193	24	5	5	NUM
iajs-3102	193	25	,	,	PUNCT
iajs-3102	193	26	it	it	PRON
iajs-3102	193	27	can	can	AUX
iajs-3102	193	28	be	be	AUX
iajs-3102	193	29	concluded	conclude	VERB
iajs-3102	193	30	that	that	SCONJ
iajs-3102	193	31	the	the	DET
iajs-3102	193	32	ec	ec	PROPN
iajs-3102	193	33	model	model	NOUN
iajs-3102	193	34	gained	gain	VERB
iajs-3102	193	35	the	the	DET
iajs-3102	193	36	best	good	ADJ
iajs-3102	193	37	outcomes	outcome	NOUN
iajs-3102	193	38	among	among	ADP
iajs-3102	193	39	all	all	DET
iajs-3102	193	40	other	other	ADJ
iajs-3102	193	41	models	model	NOUN
iajs-3102	193	42	utilizing	utilize	VERB
iajs-3102	193	43	various	various	ADJ
iajs-3102	193	44	extracted	extract	VERB
iajs-3102	193	45	characteristics	characteristic	NOUN
iajs-3102	193	46	in	in	ADP
iajs-3102	193	47	terms	term	NOUN
iajs-3102	193	48	of	of	ADP
iajs-3102	193	49	the	the	DET
iajs-3102	193	50	confusion	confusion	NOUN
iajs-3102	193	51	matrix	matrix	NOUN
iajs-3102	193	52	and	and	CCONJ
iajs-3102	193	53	roc	roc	PROPN
iajs-3102	193	54	curve	curve	NOUN
iajs-3102	193	55	.	.	PUNCT
iajs-3102	194	1	4	4	X
iajs-3102	194	2	.	.	X
iajs-3102	194	3	conclusion	conclusion	NOUN
iajs-3102	194	4	this	this	DET
iajs-3102	194	5	paper	paper	NOUN
iajs-3102	194	6	presents	present	VERB
iajs-3102	194	7	research	research	NOUN
iajs-3102	194	8	on	on	ADP
iajs-3102	194	9	the	the	DET
iajs-3102	194	10	study	study	NOUN
iajs-3102	194	11	of	of	ADP
iajs-3102	194	12	reading	read	VERB
iajs-3102	194	13	rates	rate	NOUN
iajs-3102	194	14	by	by	ADP
iajs-3102	194	15	building	build	VERB
iajs-3102	194	16	models	model	NOUN
iajs-3102	194	17	for	for	ADP
iajs-3102	194	18	categorizing	categorize	VERB
iajs-3102	194	19	readers	reader	NOUN
iajs-3102	194	20	into	into	ADP
iajs-3102	194	21	four	four	NUM
iajs-3102	194	22	category	category	NOUN
iajs-3102	194	23	levels	level	NOUN
iajs-3102	194	24	.	.	PUNCT
iajs-3102	195	1	for	for	ADP
iajs-3102	195	2	training	training	NOUN
iajs-3102	195	3	and	and	CCONJ
iajs-3102	195	4	testing	test	VERB
iajs-3102	195	5	the	the	DET
iajs-3102	195	6	dataset	dataset	NOUN
iajs-3102	195	7	,	,	PUNCT
iajs-3102	195	8	matlab	matlab	PROPN
iajs-3102	195	9	2021	2021	NUM
iajs-3102	195	10	was	be	AUX
iajs-3102	195	11	used	use	VERB
iajs-3102	195	12	for	for	ADP
iajs-3102	195	13	this	this	DET
iajs-3102	195	14	purpose	purpose	NOUN
iajs-3102	195	15	.	.	PUNCT
iajs-3102	196	1	the	the	DET
iajs-3102	196	2	number	number	NOUN
iajs-3102	196	3	of	of	ADP
iajs-3102	196	4	errors	error	NOUN
iajs-3102	196	5	,	,	PUNCT
iajs-3102	196	6	the	the	DET
iajs-3102	196	7	number	number	NOUN
iajs-3102	196	8	of	of	ADP
iajs-3102	196	9	words	word	NOUN
iajs-3102	196	10	read	read	VERB
iajs-3102	196	11	correctly	correctly	ADV
iajs-3102	196	12	,	,	PUNCT
iajs-3102	196	13	and	and	CCONJ
iajs-3102	196	14	the	the	DET
iajs-3102	196	15	total	total	ADJ
iajs-3102	196	16	reading	reading	NOUN
iajs-3102	196	17	time	time	NOUN
iajs-3102	196	18	were	be	AUX
iajs-3102	196	19	used	use	VERB
iajs-3102	196	20	as	as	ADP
iajs-3102	196	21	input	input	NOUN
iajs-3102	196	22	parameters	parameter	NOUN
iajs-3102	196	23	to	to	PART
iajs-3102	196	24	predict	predict	VERB
iajs-3102	196	25	the	the	DET
iajs-3102	196	26	output	output	NOUN
iajs-3102	196	27	,	,	PUNCT
iajs-3102	196	28	which	which	PRON
iajs-3102	196	29	was	be	AUX
iajs-3102	196	30	the	the	DET
iajs-3102	196	31	four	four	NUM
iajs-3102	196	32	various	various	ADJ
iajs-3102	196	33	levels	level	NOUN
iajs-3102	196	34	of	of	ADP
iajs-3102	196	35	wcpm	wcpm	PROPN
iajs-3102	196	36	.	.	PUNCT
iajs-3102	197	1	the	the	DET
iajs-3102	197	2	four	four	NUM
iajs-3102	197	3	levels	level	NOUN
iajs-3102	197	4	of	of	ADP
iajs-3102	197	5	wcpm	wcpm	PROPN
iajs-3102	197	6	were	be	AUX
iajs-3102	197	7	skilled	skilled	ADJ
iajs-3102	197	8	reader	reader	NOUN
iajs-3102	197	9	,	,	PUNCT
iajs-3102	197	10	moderate	moderate	ADJ
iajs-3102	197	11	reader	reader	NOUN
iajs-3102	197	12	,	,	PUNCT
iajs-3102	197	13	non	non	ADJ
iajs-3102	197	14	-	-	ADJ
iajs-3102	197	15	fluent	fluent	ADJ
iajs-3102	197	16	reader	reader	NOUN
iajs-3102	197	17	2	2	NUM
iajs-3102	197	18	,	,	PUNCT
iajs-3102	197	19	and	and	CCONJ
iajs-3102	197	20	nonfluent	nonfluent	ADJ
iajs-3102	197	21	reader	reader	NOUN
iajs-3102	197	22	1	1	NUM
iajs-3102	197	23	.	.	PUNCT
iajs-3102	198	1	three	three	NUM
iajs-3102	198	2	machine	machine	NOUN
iajs-3102	198	3	learning	learn	VERB
iajs-3102	198	4	algorithms	algorithm	NOUN
iajs-3102	198	5	(	(	PUNCT
iajs-3102	198	6	knn	knn	PROPN
iajs-3102	198	7	,	,	PUNCT
iajs-3102	198	8	dt	dt	X
iajs-3102	198	9	,	,	PUNCT
iajs-3102	198	10	and	and	CCONJ
iajs-3102	198	11	ec	ec	PROPN
iajs-3102	198	12	)	)	PUNCT
iajs-3102	198	13	were	be	AUX
iajs-3102	198	14	used	use	VERB
iajs-3102	198	15	to	to	PART
iajs-3102	198	16	predict	predict	VERB
iajs-3102	198	17	the	the	DET
iajs-3102	198	18	levels	level	NOUN
iajs-3102	198	19	of	of	ADP
iajs-3102	198	20	reading	read	VERB
iajs-3102	198	21	accuracy	accuracy	NOUN
iajs-3102	198	22	in	in	ADP
iajs-3102	198	23	wcpm	wcpm	PROPN
iajs-3102	198	24	.	.	PUNCT
iajs-3102	199	1	the	the	DET
iajs-3102	199	2	dataset	dataset	NOUN
iajs-3102	199	3	was	be	AUX
iajs-3102	199	4	split	split	VERB
iajs-3102	199	5	into	into	ADP
iajs-3102	199	6	70	70	NUM
iajs-3102	199	7	%	%	NOUN
iajs-3102	199	8	for	for	ADP
iajs-3102	199	9	training	training	NOUN
iajs-3102	199	10	and	and	CCONJ
iajs-3102	199	11	30	30	NUM
iajs-3102	199	12	%	%	NOUN
iajs-3102	199	13	for	for	ADP
iajs-3102	199	14	testing	testing	NOUN
iajs-3102	199	15	.	.	PUNCT
iajs-3102	200	1	the	the	DET
iajs-3102	200	2	classification	classification	NOUN
iajs-3102	200	3	outcomes	outcome	NOUN
iajs-3102	200	4	were	be	AUX
iajs-3102	200	5	assessed	assess	VERB
iajs-3102	200	6	utilizing	utilize	VERB
iajs-3102	200	7	the	the	DET
iajs-3102	200	8	techniques	technique	NOUN
iajs-3102	200	9	of	of	ADP
iajs-3102	200	10	classification	classification	NOUN
iajs-3102	200	11	(	(	PUNCT
iajs-3102	200	12	a	a	NOUN
iajs-3102	200	13	)	)	PUNCT
iajs-3102	200	14	roc	roc	PROPN
iajs-3102	200	15	curve	curve	NOUN
iajs-3102	200	16	for	for	ADP
iajs-3102	200	17	knn	knn	PROPN
iajs-3102	200	18	(	(	PUNCT
iajs-3102	200	19	b	b	NOUN
iajs-3102	200	20	)	)	PUNCT
iajs-3102	200	21	roc	roc	PROPN
iajs-3102	200	22	curve	curve	NOUN
iajs-3102	200	23	for	for	ADP
iajs-3102	200	24	dt	dt	PROPN
iajs-3102	200	25	(	(	PUNCT
iajs-3102	200	26	c	c	NOUN
iajs-3102	200	27	)	)	PUNCT
iajs-3102	200	28	roc	roc	NOUN
iajs-3102	200	29	curve	curve	NOUN
iajs-3102	200	30	for	for	ADP
iajs-3102	200	31	ec	ec	PROPN
iajs-3102	200	32	ihjpas	ihjpas	PROPN
iajs-3102	200	33	.	.	PUNCT
iajs-3102	201	1	36(1)2023	36(1)2023	NUM
iajs-3102	201	2	459	459	NUM
iajs-3102	201	3	assessment	assessment	NOUN
iajs-3102	201	4	called	call	VERB
iajs-3102	201	5	accuracy	accuracy	NOUN
iajs-3102	201	6	,	,	PUNCT
iajs-3102	201	7	precision	precision	NOUN
iajs-3102	201	8	,	,	PUNCT
iajs-3102	201	9	recall	recall	NOUN
iajs-3102	201	10	,	,	PUNCT
iajs-3102	201	11	f1	f1	NOUN
iajs-3102	201	12	-	-	PUNCT
iajs-3102	201	13	score	score	NOUN
iajs-3102	201	14	,	,	PUNCT
iajs-3102	201	15	and	and	CCONJ
iajs-3102	201	16	roc	roc	PROPN
iajs-3102	201	17	curve	curve	NOUN
iajs-3102	201	18	.	.	PUNCT
iajs-3102	202	1	experimental	experimental	ADJ
iajs-3102	202	2	results	result	NOUN
iajs-3102	202	3	illustrated	illustrate	VERB
iajs-3102	202	4	that	that	SCONJ
iajs-3102	202	5	ensemble	ensemble	ADJ
iajs-3102	202	6	classifier	classifier	NOUN
iajs-3102	202	7	(	(	PUNCT
iajs-3102	202	8	ec	ec	PROPN
iajs-3102	202	9	)	)	PUNCT
iajs-3102	202	10	has	have	AUX
iajs-3102	202	11	performed	perform	VERB
iajs-3102	202	12	better	well	ADV
iajs-3102	202	13	at	at	ADP
iajs-3102	202	14	predicting	predict	VERB
iajs-3102	202	15	levels	level	NOUN
iajs-3102	202	16	of	of	ADP
iajs-3102	202	17	reading	read	VERB
iajs-3102	202	18	rate	rate	NOUN
iajs-3102	202	19	wcpm	wcpm	PROPN
iajs-3102	202	20	than	than	ADP
iajs-3102	202	21	other	other	ADJ
iajs-3102	202	22	machine	machine	NOUN
iajs-3102	202	23	learning	learn	VERB
iajs-3102	202	24	classifiers	classifier	NOUN
iajs-3102	202	25	,	,	PUNCT
iajs-3102	202	26	with	with	ADP
iajs-3102	202	27	accuracy	accuracy	NOUN
iajs-3102	202	28	reaching	reach	VERB
iajs-3102	202	29	0.94	0.94	NUM
iajs-3102	202	30	and	and	CCONJ
iajs-3102	202	31	precision	precision	NOUN
iajs-3102	202	32	,	,	PUNCT
iajs-3102	202	33	recall	recall	NOUN
iajs-3102	202	34	,	,	PUNCT
iajs-3102	202	35	and	and	CCONJ
iajs-3102	202	36	f1	f1	NOUN
iajs-3102	202	37	-	-	PUNCT
iajs-3102	202	38	score	score	NOUN
iajs-3102	202	39	reaching	reach	VERB
iajs-3102	202	40	0.92	0.92	NUM
iajs-3102	202	41	for	for	ADP
iajs-3102	202	42	all	all	PRON
iajs-3102	202	43	of	of	ADP
iajs-3102	202	44	them	they	PRON
iajs-3102	202	45	.	.	PUNCT
iajs-3102	203	1	in	in	ADP
iajs-3102	203	2	terms	term	NOUN
iajs-3102	203	3	of	of	ADP
iajs-3102	203	4	the	the	DET
iajs-3102	203	5	roc	roc	PROPN
iajs-3102	203	6	curve	curve	NOUN
iajs-3102	203	7	,	,	PUNCT
iajs-3102	203	8	ec	ec	PROPN
iajs-3102	203	9	also	also	ADV
iajs-3102	203	10	achieved	achieve	VERB
iajs-3102	203	11	the	the	DET
iajs-3102	203	12	highest	high	ADJ
iajs-3102	203	13	performance	performance	NOUN
iajs-3102	203	14	.	.	PUNCT
iajs-3102	204	1	references	reference	NOUN
iajs-3102	204	2	1	1	NUM
iajs-3102	204	3	.	.	PUNCT
iajs-3102	205	1	grabe	grabe	PROPN
iajs-3102	205	2	,	,	PUNCT
iajs-3102	205	3	w.	w.	NOUN
iajs-3102	205	4	fluency	fluency	NOUN
iajs-3102	205	5	in	in	ADP
iajs-3102	205	6	reading	reading	NOUN
iajs-3102	205	7	—	—	PUNCT
iajs-3102	205	8	thirty	thirty	NUM
iajs-3102	205	9	-	-	PUNCT
iajs-3102	205	10	five	five	NUM
iajs-3102	205	11	years	year	NOUN
iajs-3102	205	12	later	later	ADV
iajs-3102	205	13	.	.	PUNCT
iajs-3102	206	1	reading	read	VERB
iajs-3102	206	2	in	in	ADP
iajs-3102	206	3	a	a	DET
iajs-3102	206	4	foreign	foreign	ADJ
iajs-3102	206	5	language	language	NOUN
iajs-3102	206	6	2010	2010	NUM
iajs-3102	206	7	,	,	PUNCT
iajs-3102	206	8	22	22	NUM
iajs-3102	206	9	,	,	PUNCT
iajs-3102	206	10	1	1	NUM
iajs-3102	206	11	,	,	PUNCT
iajs-3102	206	12	71	71	NUM
iajs-3102	206	13	-	-	SYM
iajs-3102	206	14	83	83	NUM
iajs-3102	206	15	.	.	PUNCT
iajs-3102	207	1	2	2	NUM
iajs-3102	207	2	.	.	X
iajs-3102	207	3	nation	nation	NOUN
iajs-3102	207	4	,	,	PUNCT
iajs-3102	207	5	p.	p.	NOUN
iajs-3102	207	6	developing	develop	VERB
iajs-3102	207	7	fluency	fluency	NOUN
iajs-3102	207	8	.	.	PUNCT
iajs-3102	208	1	in	in	ADP
iajs-3102	208	2	exploring	explore	VERB
iajs-3102	208	3	efl	efl	PROPN
iajs-3102	208	4	fluency	fluency	NOUN
iajs-3102	208	5	in	in	ADP
iajs-3102	208	6	asia	asia	PROPN
iajs-3102	208	7	;	;	PUNCT
iajs-3102	208	8	muller	muller	PROPN
iajs-3102	208	9	t.	t.	PROPN
iajs-3102	208	10	,	,	PUNCT
iajs-3102	208	11	adamson	adamson	PROPN
iajs-3102	208	12	,	,	PUNCT
iajs-3102	208	13	j.	j.	PROPN
iajs-3102	208	14	,	,	PUNCT
iajs-3102	208	15	p.	p.	PROPN
iajs-3102	208	16	brown	brown	PROPN
iajs-3102	208	17	,	,	PUNCT
iajs-3102	208	18	s.	s.	PROPN
iajs-3102	208	19	herder	herder	PROPN
iajs-3102	208	20	.	.	PUNCT
iajs-3102	208	21	,	,	PUNCT
iajs-3102	208	22	eds	eds	PROPN
iajs-3102	208	23	.	.	PUNCT
iajs-3102	208	24	;	;	PUNCT
iajs-3102	208	25	springer	springer	NOUN
iajs-3102	208	26	:	:	PUNCT
iajs-3102	208	27	palgrave	palgrave	PROPN
iajs-3102	208	28	macmillan	macmillan	PROPN
iajs-3102	208	29	,	,	PUNCT
iajs-3102	208	30	2014	2014	NUM
iajs-3102	208	31	,	,	PUNCT
iajs-3102	208	32	11	11	NUM
iajs-3102	208	33	-	-	SYM
iajs-3102	208	34	25	25	NUM
iajs-3102	208	35	.	.	PUNCT
iajs-3102	208	36	3	3	X
iajs-3102	208	37	.	.	X
iajs-3102	208	38	rasinski	rasinski	NOUN
iajs-3102	208	39	,	,	PUNCT
iajs-3102	208	40	t.	t.	NOUN
iajs-3102	208	41	v.	v.	ADP
iajs-3102	208	42	assessing	assess	VERB
iajs-3102	208	43	reading	read	VERB
iajs-3102	208	44	fluency	fluency	NOUN
iajs-3102	208	45	.	.	PUNCT
iajs-3102	209	1	pacific	pacific	ADJ
iajs-3102	209	2	resources	resource	NOUN
iajs-3102	209	3	for	for	ADP
iajs-3102	209	4	education	education	NOUN
iajs-3102	209	5	and	and	CCONJ
iajs-3102	209	6	learning	learning	NOUN
iajs-3102	209	7	(	(	PUNCT
iajs-3102	209	8	prel	prel	NOUN
iajs-3102	209	9	)	)	PUNCT
iajs-3102	209	10	2004	2004	NUM
iajs-3102	209	11	.	.	PUNCT
iajs-3102	210	1	4	4	X
iajs-3102	210	2	.	.	X
iajs-3102	210	3	morrison	morrison	PROPN
iajs-3102	210	4	,	,	PUNCT
iajs-3102	210	5	t.g	t.g	PROPN
iajs-3102	210	6	.	.	PROPN
iajs-3102	210	7	;	;	PUNCT
iajs-3102	210	8	wilcox	wilcox	PROPN
iajs-3102	210	9	,	,	PUNCT
iajs-3102	210	10	b.	b.	PROPN
iajs-3102	210	11	assessing	assess	VERB
iajs-3102	210	12	expressive	expressive	ADJ
iajs-3102	210	13	oral	oral	ADJ
iajs-3102	210	14	reading	reading	NOUN
iajs-3102	210	15	fluency	fluency	NOUN
iajs-3102	210	16	.	.	PUNCT
iajs-3102	211	1	education	education	NOUN
iajs-3102	211	2	sciences	science	NOUN
iajs-3102	211	3	2020	2020	NUM
iajs-3102	211	4	,	,	PUNCT
iajs-3102	211	5	10	10	NUM
iajs-3102	211	6	,	,	PUNCT
iajs-3102	211	7	59	59	NUM
iajs-3102	211	8	,	,	PUNCT
iajs-3102	211	9	113	113	NUM
iajs-3102	211	10	.	.	PUNCT
iajs-3102	211	11	5	5	NUM
iajs-3102	211	12	.	.	X
iajs-3102	211	13	williams	williams	PROPN
iajs-3102	211	14	,	,	PUNCT
iajs-3102	211	15	j.	j.	PROPN
iajs-3102	211	16	l.	l.	PROPN
iajs-3102	211	17	;	;	PUNCT
iajs-3102	211	18	skinner	skinner	PROPN
iajs-3102	211	19	,	,	PUNCT
iajs-3102	211	20	c.	c.	PROPN
iajs-3102	211	21	h.	h.	PROPN
iajs-3102	211	22	;	;	PUNCT
iajs-3102	211	23	floyd	floyd	PROPN
iajs-3102	211	24	,	,	PUNCT
iajs-3102	211	25	r.	r.	PROPN
iajs-3102	211	26	g.	g.	PROPN
iajs-3102	211	27	;	;	PUNCT
iajs-3102	211	28	hale	hale	PROPN
iajs-3102	211	29	,	,	PUNCT
iajs-3102	211	30	a.	a.	PROPN
iajs-3102	211	31	d.	d.	PROPN
iajs-3102	211	32	;	;	PUNCT
iajs-3102	211	33	neddenriep	neddenriep	PROPN
iajs-3102	211	34	,	,	PUNCT
iajs-3102	211	35	c.	c.	PROPN
iajs-3102	211	36	;	;	PUNCT
iajs-3102	211	37	kirk	kirk	PROPN
iajs-3102	211	38	,	,	PUNCT
iajs-3102	211	39	e.	e.	PROPN
iajs-3102	211	40	words	word	NOUN
iajs-3102	211	41	correct	correct	ADJ
iajs-3102	211	42	per	per	ADP
iajs-3102	211	43	minute	minute	NOUN
iajs-3102	211	44	:	:	PUNCT
iajs-3102	211	45	the	the	DET
iajs-3102	211	46	variance	variance	NOUN
iajs-3102	211	47	in	in	ADP
iajs-3102	211	48	standardized	standardized	ADJ
iajs-3102	211	49	reading	reading	NOUN
iajs-3102	211	50	scores	score	NOUN
iajs-3102	211	51	accounted	account	VERB
iajs-3102	211	52	for	for	ADP
iajs-3102	211	53	by	by	ADP
iajs-3102	211	54	reading	read	VERB
iajs-3102	211	55	speed	speed	NOUN
iajs-3102	211	56	.	.	PUNCT
iajs-3102	212	1	psychology	psychology	NOUN
iajs-3102	212	2	in	in	ADP
iajs-3102	212	3	the	the	DET
iajs-3102	212	4	schools	school	NOUN
iajs-3102	212	5	2011	2011	NUM
iajs-3102	212	6	,	,	PUNCT
iajs-3102	212	7	48	48	NUM
iajs-3102	212	8	,	,	PUNCT
iajs-3102	212	9	87–101	87–101	NUM
iajs-3102	212	10	.	.	PUNCT
iajs-3102	213	1	6	6	NUM
iajs-3102	213	2	.	.	X
iajs-3102	214	1	mahendra	mahendra	PROPN
iajs-3102	214	2	,	,	PUNCT
iajs-3102	214	3	m.	m.	PROPN
iajs-3102	214	4	w.	w.	PROPN
iajs-3102	214	5	;	;	PUNCT
iajs-3102	214	6	marantika	marantika	PROPN
iajs-3102	214	7	,	,	PUNCT
iajs-3102	214	8	i.	i.	PROPN
iajs-3102	214	9	m.	m.	PROPN
iajs-3102	214	10	y.	y.	PROPN
iajs-3102	214	11	the	the	DET
iajs-3102	214	12	phonological	phonological	ADJ
iajs-3102	214	13	interference	interference	NOUN
iajs-3102	214	14	in	in	ADP
iajs-3102	214	15	efl	efl	PROPN
iajs-3102	214	16	reading	reading	NOUN
iajs-3102	214	17	.	.	PUNCT
iajs-3102	215	1	ellite	ellite	PROPN
iajs-3102	215	2	:	:	PUNCT
iajs-3102	215	3	journal	journal	PROPN
iajs-3102	215	4	of	of	ADP
iajs-3102	215	5	english	english	PROPN
iajs-3102	215	6	language	language	NOUN
iajs-3102	215	7	,	,	PUNCT
iajs-3102	215	8	literature	literature	NOUN
iajs-3102	215	9	,	,	PUNCT
iajs-3102	215	10	and	and	CCONJ
iajs-3102	215	11	teaching	teach	VERB
iajs-3102	215	12	2020	2020	NUM
iajs-3102	215	13	,	,	PUNCT
iajs-3102	215	14	5	5	NUM
iajs-3102	215	15	,	,	PUNCT
iajs-3102	215	16	1	1	NUM
iajs-3102	215	17	,	,	PUNCT
iajs-3102	215	18	27	27	NUM
iajs-3102	215	19	-	-	SYM
iajs-3102	215	20	34	34	NUM
iajs-3102	215	21	.	.	PUNCT
iajs-3102	216	1	7	7	NUM
iajs-3102	216	2	.	.	X
iajs-3102	216	3	rahmawati	rahmawati	NOUN
iajs-3102	216	4	,	,	PUNCT
iajs-3102	216	5	a.	a.	NOUN
iajs-3102	216	6	;	;	PUNCT
iajs-3102	216	7	rosmalina	rosmalina	PROPN
iajs-3102	216	8	,	,	PUNCT
iajs-3102	216	9	i.	i.	PROPN
iajs-3102	216	10	;	;	PUNCT
iajs-3102	216	11	anggraini	anggraini	NOUN
iajs-3102	216	12	,	,	PUNCT
iajs-3102	216	13	h.w	h.w	PROPN
iajs-3102	216	14	.	.	PROPN
iajs-3102	216	15	prosodic	prosodic	ADJ
iajs-3102	216	16	reading	reading	NOUN
iajs-3102	216	17	and	and	CCONJ
iajs-3102	216	18	reading	reading	NOUN
iajs-3102	216	19	comprehension	comprehension	NOUN
iajs-3102	216	20	in	in	ADP
iajs-3102	216	21	university	university	NOUN
iajs-3102	216	22	.	.	PUNCT
iajs-3102	217	1	edulite	edulite	PROPN
iajs-3102	217	2	:	:	PUNCT
iajs-3102	217	3	journal	journal	NOUN
iajs-3102	217	4	of	of	ADP
iajs-3102	217	5	english	english	PROPN
iajs-3102	217	6	education	education	NOUN
iajs-3102	217	7	,	,	PUNCT
iajs-3102	217	8	literature	literature	NOUN
iajs-3102	217	9	,	,	PUNCT
iajs-3102	217	10	and	and	CCONJ
iajs-3102	217	11	culture	culture	NOUN
iajs-3102	217	12	2020	2020	NUM
iajs-3102	217	13	,	,	PUNCT
iajs-3102	217	14	5	5	NUM
iajs-3102	217	15	,	,	PUNCT
iajs-3102	217	16	1	1	NUM
iajs-3102	217	17	,	,	PUNCT
iajs-3102	217	18	89108	89108	NUM
iajs-3102	217	19	.	.	PUNCT
iajs-3102	218	1	8	8	NUM
iajs-3102	218	2	.	.	X
iajs-3102	218	3	sonuç	sonuç	NOUN
iajs-3102	218	4	,	,	PUNCT
iajs-3102	218	5	e.	e.	PROPN
iajs-3102	218	6	thyroid	thyroid	PROPN
iajs-3102	218	7	disease	disease	NOUN
iajs-3102	218	8	classification	classification	NOUN
iajs-3102	218	9	using	use	VERB
iajs-3102	218	10	machine	machine	NOUN
iajs-3102	218	11	learning	learning	NOUN
iajs-3102	218	12	algorithms	algorithm	NOUN
iajs-3102	218	13	.	.	PUNCT
iajs-3102	219	1	in	in	ADP
iajs-3102	219	2	journal	journal	PROPN
iajs-3102	219	3	of	of	ADP
iajs-3102	219	4	physics	physics	PROPN
iajs-3102	219	5	:	:	PUNCT
iajs-3102	219	6	conference	conference	NOUN
iajs-3102	219	7	series	series	NOUN
iajs-3102	219	8	2021	2021	NUM
iajs-3102	219	9	,	,	PUNCT
iajs-3102	219	10	1963,1	1963,1	NUM
iajs-3102	219	11	,	,	PUNCT
iajs-3102	219	12	012140	012140	NUM
iajs-3102	219	13	.	.	PUNCT
iajs-3102	220	1	9	9	NUM
iajs-3102	220	2	.	.	X
iajs-3102	220	3	sajja	sajja	PROPN
iajs-3102	220	4	,	,	PUNCT
iajs-3102	220	5	g.	g.	PROPN
iajs-3102	220	6	s.	s.	PROPN
iajs-3102	220	7	;	;	PUNCT
iajs-3102	220	8	mustafa	mustafa	PROPN
iajs-3102	220	9	,	,	PUNCT
iajs-3102	220	10	m.	m.	NOUN
iajs-3102	220	11	;	;	PUNCT
iajs-3102	220	12	ponnusamy	ponnusamy	NOUN
iajs-3102	220	13	,	,	PUNCT
iajs-3102	220	14	r.	r.	PROPN
iajs-3102	220	15	;	;	PUNCT
iajs-3102	220	16	abdufattokhov	abdufattokhov	PROPN
iajs-3102	220	17	,	,	PUNCT
iajs-3102	220	18	s.	s.	PROPN
iajs-3102	220	19	machine	machine	NOUN
iajs-3102	220	20	learning	learn	VERB
iajs-3102	220	21	algorithms	algorithm	NOUN
iajs-3102	220	22	in	in	ADP
iajs-3102	220	23	intrusion	intrusion	NOUN
iajs-3102	220	24	detection	detection	NOUN
iajs-3102	220	25	and	and	CCONJ
iajs-3102	220	26	classification	classification	NOUN
iajs-3102	220	27	.	.	PUNCT
iajs-3102	221	1	annals	annal	NOUN
iajs-3102	221	2	of	of	ADP
iajs-3102	221	3	the	the	DET
iajs-3102	221	4	romanian	romanian	ADJ
iajs-3102	221	5	society	society	NOUN
iajs-3102	221	6	for	for	ADP
iajs-3102	221	7	cell	cell	NOUN
iajs-3102	221	8	biology	biology	NOUN
iajs-3102	221	9	2021	2021	NUM
iajs-3102	221	10	,	,	PUNCT
iajs-3102	221	11	25	25	NUM
iajs-3102	221	12	,	,	PUNCT
iajs-3102	221	13	6	6	NUM
iajs-3102	221	14	,	,	PUNCT
iajs-3102	221	15	12211	12211	NUM
iajs-3102	221	16	-	-	SYM
iajs-3102	221	17	12219	12219	NUM
iajs-3102	221	18	.	.	PUNCT
iajs-3102	222	1	10	10	NUM
iajs-3102	222	2	.	.	PUNCT
iajs-3102	223	1	ahmad	ahmad	PROPN
iajs-3102	223	2	,	,	PUNCT
iajs-3102	223	3	a.	a.	NOUN
iajs-3102	223	4	;	;	PUNCT
iajs-3102	223	5	ostrowski	ostrowski	PROPN
iajs-3102	223	6	,	,	PUNCT
iajs-3102	223	7	k.	k.	PROPN
iajs-3102	223	8	a.	a.	PROPN
iajs-3102	223	9	;	;	PUNCT
iajs-3102	223	10	maślak	maślak	NOUN
iajs-3102	223	11	,	,	PUNCT
iajs-3102	223	12	m.	m.	NOUN
iajs-3102	223	13	;	;	PUNCT
iajs-3102	223	14	farooq	farooq	PROPN
iajs-3102	223	15	,	,	PUNCT
iajs-3102	223	16	f.	f.	PROPN
iajs-3102	223	17	;	;	PUNCT
iajs-3102	223	18	mehmood	mehmood	PROPN
iajs-3102	223	19	,	,	PUNCT
iajs-3102	223	20	i.	i.	PROPN
iajs-3102	223	21	;	;	PUNCT
iajs-3102	223	22	nafees	nafees	PROPN
iajs-3102	223	23	,	,	PUNCT
iajs-3102	223	24	a.	a.	NOUN
iajs-3102	223	25	comparative	comparative	PROPN
iajs-3102	223	26	study	study	NOUN
iajs-3102	223	27	of	of	ADP
iajs-3102	223	28	supervised	supervised	ADJ
iajs-3102	223	29	machine	machine	NOUN
iajs-3102	223	30	learning	learn	VERB
iajs-3102	223	31	algorithms	algorithm	NOUN
iajs-3102	223	32	for	for	ADP
iajs-3102	223	33	predicting	predict	VERB
iajs-3102	223	34	the	the	DET
iajs-3102	223	35	compressive	compressive	ADJ
iajs-3102	223	36	strength	strength	NOUN
iajs-3102	223	37	of	of	ADP
iajs-3102	223	38	concrete	concrete	NOUN
iajs-3102	223	39	at	at	ADP
iajs-3102	223	40	high	high	ADJ
iajs-3102	223	41	temperature	temperature	NOUN
iajs-3102	223	42	.	.	PUNCT
iajs-3102	224	1	materials	material	NOUN
iajs-3102	224	2	2021	2021	NUM
iajs-3102	224	3	,	,	PUNCT
iajs-3102	224	4	14,15	14,15	NUM
iajs-3102	224	5	,	,	PUNCT
iajs-3102	224	6	4222	4222	NUM
iajs-3102	224	7	.	.	PUNCT
iajs-3102	225	1	11	11	NUM
iajs-3102	225	2	.	.	X
iajs-3102	226	1	bolaños	bolaños	PROPN
iajs-3102	226	2	,	,	PUNCT
iajs-3102	226	3	d.	d.	PROPN
iajs-3102	226	4	;	;	PUNCT
iajs-3102	226	5	cole	cole	PROPN
iajs-3102	226	6	,	,	PUNCT
iajs-3102	226	7	r.	r.	PROPN
iajs-3102	226	8	a.	a.	PROPN
iajs-3102	226	9	;	;	PUNCT
iajs-3102	226	10	ward	ward	PROPN
iajs-3102	226	11	,	,	PUNCT
iajs-3102	226	12	w.	w.	PROPN
iajs-3102	226	13	h.	h.	PROPN
iajs-3102	226	14	;	;	PUNCT
iajs-3102	226	15	tindal	tindal	NOUN
iajs-3102	226	16	,	,	PUNCT
iajs-3102	226	17	g.	g.	PROPN
iajs-3102	226	18	a.	a.	PROPN
iajs-3102	226	19	;	;	PUNCT
iajs-3102	226	20	hasbrouck	hasbrouck	PROPN
iajs-3102	226	21	,	,	PUNCT
iajs-3102	226	22	j.	j.	PROPN
iajs-3102	226	23	;	;	PUNCT
iajs-3102	226	24	schwanenflugel	schwanenflugel	NOUN
iajs-3102	226	25	,	,	PUNCT
iajs-3102	226	26	p.	p.	PROPN
iajs-3102	226	27	j.	j.	PROPN
iajs-3102	226	28	human	human	PROPN
iajs-3102	226	29	and	and	CCONJ
iajs-3102	226	30	automated	automated	ADJ
iajs-3102	226	31	assessment	assessment	NOUN
iajs-3102	226	32	of	of	ADP
iajs-3102	226	33	oral	oral	ADJ
iajs-3102	226	34	reading	reading	NOUN
iajs-3102	226	35	fluency	fluency	NOUN
iajs-3102	226	36	.	.	PUNCT
iajs-3102	227	1	journal	journal	NOUN
iajs-3102	227	2	of	of	ADP
iajs-3102	227	3	educational	educational	ADJ
iajs-3102	227	4	psychology	psychology	NOUN
iajs-3102	227	5	2013	2013	NUM
iajs-3102	227	6	,	,	PUNCT
iajs-3102	227	7	105	105	NUM
iajs-3102	227	8	,	,	PUNCT
iajs-3102	227	9	4	4	NUM
iajs-3102	227	10	,	,	PUNCT
iajs-3102	227	11	1142	1142	NUM
iajs-3102	227	12	.	.	PUNCT
iajs-3102	228	1	12	12	NUM
iajs-3102	228	2	.	.	PUNCT
iajs-3102	229	1	kim	kim	PROPN
iajs-3102	229	2	,	,	PUNCT
iajs-3102	229	3	h.	h.	PROPN
iajs-3102	229	4	;	;	PUNCT
iajs-3102	229	5	hannah	hannah	PROPN
iajs-3102	229	6	,	,	PUNCT
iajs-3102	229	7	l.	l.	PROPN
iajs-3102	229	8	;	;	PUNCT
iajs-3102	229	9	jang	jang	PROPN
iajs-3102	229	10	,	,	PUNCT
iajs-3102	229	11	e.	e.	PROPN
iajs-3102	229	12	e.	e.	PROPN
iajs-3102	229	13	using	use	VERB
iajs-3102	229	14	acoustic	acoustic	ADJ
iajs-3102	229	15	features	feature	NOUN
iajs-3102	229	16	to	to	PART
iajs-3102	229	17	predict	predict	VERB
iajs-3102	229	18	oral	oral	ADJ
iajs-3102	229	19	reading	reading	NOUN
iajs-3102	229	20	fluency	fluency	NOUN
iajs-3102	229	21	of	of	ADP
iajs-3102	229	22	students	student	NOUN
iajs-3102	229	23	with	with	ADP
iajs-3102	229	24	diverse	diverse	ADJ
iajs-3102	229	25	language	language	NOUN
iajs-3102	229	26	backgrounds	background	NOUN
iajs-3102	229	27	.	.	PUNCT
iajs-3102	230	1	in	in	ADP
iajs-3102	230	2	collated	collate	VERB
iajs-3102	230	3	papers	paper	NOUN
iajs-3102	230	4	for	for	ADP
iajs-3102	230	5	the	the	DET
iajs-3102	230	6	alte	alte	PROPN
iajs-3102	230	7	7th	7th	PROPN
iajs-3102	230	8	international	international	PROPN
iajs-3102	230	9	conference	conference	NOUN
iajs-3102	230	10	,	,	PUNCT
iajs-3102	230	11	madrid	madrid	PROPN
iajs-3102	230	12	2021,198	2021,198	PROPN
iajs-3102	230	13	.	.	PROPN
iajs-3102	230	14	13	13	NUM
iajs-3102	230	15	.	.	PUNCT
iajs-3102	230	16	day	day	NOUN
iajs-3102	230	17	,	,	PUNCT
iajs-3102	230	18	r.	r.	PROPN
iajs-3102	230	19	r.	r.	PROPN
iajs-3102	230	20	&	&	CCONJ
iajs-3102	230	21	harsch	harsch	PROPN
iajs-3102	230	22	,	,	PUNCT
iajs-3102	230	23	k.	k.	PROPN
iajs-3102	230	24	cover	cover	VERB
iajs-3102	230	25	to	to	PART
iajs-3102	230	26	cover	cover	VERB
iajs-3102	230	27	2	2	NUM
iajs-3102	230	28	reading	reading	NOUN
iajs-3102	230	29	comprehension	comprehension	NOUN
iajs-3102	230	30	and	and	CCONJ
iajs-3102	230	31	efl	efl	NOUN
iajs-3102	230	32	reading	reading	NOUN
iajs-3102	230	33	.	.	PUNCT
iajs-3102	231	1	english	english	ADJ
iajs-3102	231	2	language	language	PROPN
iajs-3102	231	3	,	,	PUNCT
iajs-3102	231	4	literature	literature	NOUN
iajs-3102	231	5	,	,	PUNCT
iajs-3102	231	6	and	and	CCONJ
iajs-3102	232	1	teaching	teach	VERB
iajs-3102	232	2	fluency	fluency	NOUN
iajs-3102	232	3	.	.	PUNCT
iajs-3102	233	1	oxford	oxford	PROPN
iajs-3102	233	2	university	university	PROPN
iajs-3102	233	3	press	press	NOUN
iajs-3102	233	4	,	,	PUNCT
iajs-3102	233	5	2008	2008	NUM
iajs-3102	233	6	.	.	PUNCT
iajs-3102	234	1	14	14	NUM
iajs-3102	234	2	.	.	PUNCT
iajs-3102	234	3	adithiyaa	adithiyaa	PROPN
iajs-3102	234	4	,	,	PUNCT
iajs-3102	234	5	t.	t.	PROPN
iajs-3102	234	6	;	;	PUNCT
iajs-3102	234	7	chandramohan	chandramohan	PROPN
iajs-3102	234	8	,	,	PUNCT
iajs-3102	234	9	d.	d.	PROPN
iajs-3102	234	10	;	;	PUNCT
iajs-3102	234	11	sathish	sathish	PROPN
iajs-3102	234	12	,	,	PUNCT
iajs-3102	234	13	t.	t.	NOUN
iajs-3102	234	14	optimal	optimal	ADJ
iajs-3102	234	15	prediction	prediction	NOUN
iajs-3102	234	16	of	of	ADP
iajs-3102	234	17	process	process	NOUN
iajs-3102	234	18	parameters	parameter	NOUN
iajs-3102	234	19	by	by	ADP
iajs-3102	234	20	gwo	gwo	PROPN
iajs-3102	234	21	-	-	PUNCT
iajs-3102	234	22	knn	knn	PROPN
iajs-3102	234	23	in	in	ADP
iajs-3102	234	24	stirring	stirring	NOUN
iajs-3102	234	25	-	-	PUNCT
iajs-3102	234	26	squeeze	squeeze	NOUN
iajs-3102	234	27	casting	casting	NOUN
iajs-3102	234	28	of	of	ADP
iajs-3102	234	29	aa2219	aa2219	NOUN
iajs-3102	234	30	reinforced	reinforce	VERB
iajs-3102	234	31	metal	metal	NOUN
iajs-3102	234	32	matrix	matrix	NOUN
iajs-3102	234	33	composites	composite	NOUN
iajs-3102	234	34	.	.	PUNCT
iajs-3102	235	1	materials	material	NOUN
iajs-3102	235	2	today	today	NOUN
iajs-3102	235	3	:	:	PUNCT
iajs-3102	235	4	proceedings	proceeding	NOUN
iajs-3102	235	5	2020	2020	NUM
iajs-3102	235	6	,	,	PUNCT
iajs-3102	235	7	21	21	NUM
iajs-3102	235	8	,	,	PUNCT
iajs-3102	235	9	1000	1000	NUM
iajs-3102	235	10	-	-	SYM
iajs-3102	235	11	1007	1007	NUM
iajs-3102	235	12	.	.	PUNCT
iajs-3102	236	1	15	15	NUM
iajs-3102	236	2	.	.	X
iajs-3102	236	3	miranda	miranda	NOUN
iajs-3102	236	4	-	-	PUNCT
iajs-3102	236	5	vega	vega	PROPN
iajs-3102	236	6	,	,	PUNCT
iajs-3102	236	7	j.	j.	PROPN
iajs-3102	236	8	e.	e.	PROPN
iajs-3102	236	9	;	;	PUNCT
iajs-3102	236	10	rivas	rivas	PROPN
iajs-3102	236	11	-	-	PUNCT
iajs-3102	236	12	lopez	lopez	PROPN
iajs-3102	236	13	,	,	PUNCT
iajs-3102	236	14	m.	m.	NOUN
iajs-3102	236	15	;	;	PUNCT
iajs-3102	236	16	fuentes	fuentes	PROPN
iajs-3102	236	17	,	,	PUNCT
iajs-3102	236	18	w.	w.	PROPN
iajs-3102	236	19	f.	f.	PROPN
iajs-3102	237	1	k	k	PROPN
iajs-3102	237	2	-	-	PUNCT
iajs-3102	237	3	nearest	near	ADJ
iajs-3102	237	4	neighbor	neighbor	NOUN
iajs-3102	237	5	classification	classification	NOUN
iajs-3102	237	6	for	for	ADP
iajs-3102	237	7	pattern	pattern	NOUN
iajs-3102	237	8	recognition	recognition	NOUN
iajs-3102	237	9	of	of	ADP
iajs-3102	237	10	a	a	DET
iajs-3102	237	11	reference	reference	NOUN
iajs-3102	237	12	source	source	NOUN
iajs-3102	237	13	light	light	NOUN
iajs-3102	237	14	for	for	ADP
iajs-3102	237	15	machine	machine	NOUN
iajs-3102	237	16	vision	vision	NOUN
iajs-3102	237	17	system	system	NOUN
iajs-3102	237	18	.	.	PUNCT
iajs-3102	238	1	ieee	ieee	PROPN
iajs-3102	238	2	sensors	sensors	PROPN
iajs-3102	238	3	journal	journal	PROPN
iajs-3102	238	4	2020	2020	NUM
iajs-3102	238	5	,	,	PUNCT
iajs-3102	238	6	21,10	21,10	NOUN
iajs-3102	238	7	,	,	PUNCT
iajs-3102	238	8	11514	11514	NUM
iajs-3102	238	9	-	-	SYM
iajs-3102	238	10	11521	11521	NUM
iajs-3102	238	11	.	.	PUNCT
iajs-3102	239	1	ihjpas	ihjpas	PROPN
iajs-3102	239	2	.	.	PUNCT
iajs-3102	240	1	36(1)2023	36(1)2023	NUM
iajs-3102	240	2	460	460	NUM
iajs-3102	240	3	16	16	NUM
iajs-3102	240	4	.	.	PUNCT
iajs-3102	241	1	wibowo	wibowo	PROPN
iajs-3102	241	2	,	,	PUNCT
iajs-3102	241	3	a.	a.	PROPN
iajs-3102	241	4	h.	h.	PROPN
iajs-3102	241	5	;	;	PUNCT
iajs-3102	241	6	oesman	oesman	NOUN
iajs-3102	241	7	,	,	PUNCT
iajs-3102	241	8	t.	t.	PROPN
iajs-3102	241	9	i.	i.	PROPN
iajs-3102	242	1	the	the	DET
iajs-3102	242	2	comparative	comparative	ADJ
iajs-3102	242	3	analysis	analysis	NOUN
iajs-3102	242	4	on	on	ADP
iajs-3102	242	5	the	the	DET
iajs-3102	242	6	accuracy	accuracy	NOUN
iajs-3102	242	7	of	of	ADP
iajs-3102	242	8	k	k	PROPN
iajs-3102	242	9	-	-	PUNCT
iajs-3102	242	10	nn	nn	ADJ
iajs-3102	242	11	,	,	PUNCT
iajs-3102	242	12	naive	naive	ADJ
iajs-3102	242	13	bayes	bayes	NOUN
iajs-3102	242	14	,	,	PUNCT
iajs-3102	242	15	and	and	CCONJ
iajs-3102	242	16	decision	decision	NOUN
iajs-3102	242	17	tree	tree	NOUN
iajs-3102	242	18	algorithms	algorithm	NOUN
iajs-3102	242	19	in	in	ADP
iajs-3102	242	20	predicting	predict	VERB
iajs-3102	242	21	crimes	crime	NOUN
iajs-3102	242	22	and	and	CCONJ
iajs-3102	242	23	criminal	criminal	ADJ
iajs-3102	242	24	actions	action	NOUN
iajs-3102	242	25	in	in	ADP
iajs-3102	242	26	sleman	sleman	NOUN
iajs-3102	242	27	regency	regency	PROPN
iajs-3102	242	28	.	.	PUNCT
iajs-3102	243	1	in	in	ADP
iajs-3102	243	2	journal	journal	PROPN
iajs-3102	243	3	of	of	ADP
iajs-3102	243	4	physics	physics	PROPN
iajs-3102	243	5	:	:	PUNCT
iajs-3102	243	6	conference	conference	NOUN
iajs-3102	243	7	series	series	NOUN
iajs-3102	243	8	2020	2020	NUM
iajs-3102	243	9	,	,	PUNCT
iajs-3102	243	10	february,1450,1	february,1450,1	ADV
iajs-3102	243	11	,	,	PUNCT
iajs-3102	243	12	012076	012076	NUM
iajs-3102	243	13	.	.	PUNCT
iajs-3102	244	1	17	17	NUM
iajs-3102	244	2	.	.	PUNCT
iajs-3102	244	3	charbuty	charbuty	PROPN
iajs-3102	244	4	,	,	PUNCT
iajs-3102	244	5	b.	b.	PROPN
iajs-3102	244	6	;	;	PUNCT
iajs-3102	244	7	abdulazeez	abdulazeez	PROPN
iajs-3102	244	8	,	,	PUNCT
iajs-3102	244	9	a.	a.	NOUN
iajs-3102	244	10	classification	classification	NOUN
iajs-3102	244	11	based	base	VERB
iajs-3102	244	12	on	on	ADP
iajs-3102	244	13	decision	decision	NOUN
iajs-3102	244	14	tree	tree	NOUN
iajs-3102	244	15	algorithm	algorithm	NOUN
iajs-3102	244	16	for	for	ADP
iajs-3102	244	17	machine	machine	NOUN
iajs-3102	244	18	learning	learning	NOUN
iajs-3102	244	19	.	.	PUNCT
iajs-3102	245	1	journal	journal	PROPN
iajs-3102	245	2	of	of	ADP
iajs-3102	245	3	applied	apply	VERB
iajs-3102	245	4	science	science	NOUN
iajs-3102	245	5	and	and	CCONJ
iajs-3102	245	6	technology	technology	NOUN
iajs-3102	245	7	trends	trend	NOUN
iajs-3102	245	8	2021	2021	NUM
iajs-3102	245	9	,	,	PUNCT
iajs-3102	245	10	2	2	NUM
iajs-3102	245	11	,	,	PUNCT
iajs-3102	245	12	1	1	NUM
iajs-3102	245	13	,	,	PUNCT
iajs-3102	245	14	20	20	NUM
iajs-3102	245	15	-	-	SYM
iajs-3102	245	16	28	28	NUM
iajs-3102	245	17	.	.	PUNCT
iajs-3102	246	1	18	18	NUM
iajs-3102	246	2	.	.	PUNCT
iajs-3102	246	3	lee	lee	PROPN
iajs-3102	246	4	,	,	PUNCT
iajs-3102	246	5	c.	c.	PROPN
iajs-3102	246	6	s.	s.	PROPN
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iajs-3102	246	8	cheang	cheang	PROPN
iajs-3102	246	9	,	,	PUNCT
iajs-3102	246	10	p.	p.	PROPN
iajs-3102	246	11	y.	y.	PROPN
iajs-3102	246	12	s.	s.	PROPN
iajs-3102	246	13	;	;	PUNCT
iajs-3102	246	14	moslehpour	moslehpour	NOUN
iajs-3102	246	15	,	,	PUNCT
iajs-3102	246	16	m.	m.	NOUN
iajs-3102	246	17	predictive	predictive	ADJ
iajs-3102	246	18	analytics	analytic	NOUN
iajs-3102	246	19	in	in	ADP
iajs-3102	246	20	business	business	NOUN
iajs-3102	246	21	analytics	analytic	NOUN
iajs-3102	246	22	:	:	PUNCT
iajs-3102	246	23	decision	decision	NOUN
iajs-3102	246	24	tree	tree	NOUN
iajs-3102	246	25	.	.	PUNCT
iajs-3102	247	1	advances	advance	NOUN
iajs-3102	247	2	in	in	ADP
iajs-3102	247	3	decision	decision	NOUN
iajs-3102	247	4	sciences	science	NOUN
iajs-3102	247	5	2022	2022	NUM
iajs-3102	247	6	,	,	PUNCT
iajs-3102	247	7	26,1	26,1	NUM
iajs-3102	247	8	,	,	PUNCT
iajs-3102	247	9	1	1	NUM
iajs-3102	247	10	-	-	SYM
iajs-3102	247	11	29	29	NUM
iajs-3102	247	12	.	.	PUNCT
iajs-3102	248	1	19	19	NUM
iajs-3102	248	2	.	.	PUNCT
iajs-3102	249	1	li	li	PROPN
iajs-3102	249	2	,	,	PUNCT
iajs-3102	249	3	x.	x.	PROPN
iajs-3102	249	4	;	;	PUNCT
iajs-3102	249	5	yi	yi	PROPN
iajs-3102	249	6	,	,	PUNCT
iajs-3102	249	7	s.	s.	PROPN
iajs-3102	249	8	;	;	PUNCT
iajs-3102	249	9	cundy	cundy	PROPN
iajs-3102	249	10	,	,	PUNCT
iajs-3102	249	11	a.	a.	PROPN
iajs-3102	249	12	b.	b.	PROPN
iajs-3102	249	13	;	;	PUNCT
iajs-3102	250	1	chen	chen	PROPN
iajs-3102	250	2	,	,	PUNCT
iajs-3102	250	3	w.	w.	PROPN
iajs-3102	250	4	sustainable	sustainable	ADJ
iajs-3102	250	5	decision	decision	NOUN
iajs-3102	250	6	-	-	PUNCT
iajs-3102	250	7	making	making	NOUN
iajs-3102	250	8	for	for	ADP
iajs-3102	250	9	contaminated	contaminate	VERB
iajs-3102	250	10	site	site	NOUN
iajs-3102	250	11	risk	risk	NOUN
iajs-3102	250	12	management	management	NOUN
iajs-3102	250	13	:	:	PUNCT
iajs-3102	250	14	a	a	DET
iajs-3102	250	15	decision	decision	NOUN
iajs-3102	250	16	tree	tree	NOUN
iajs-3102	250	17	model	model	NOUN
iajs-3102	250	18	using	use	VERB
iajs-3102	250	19	machine	machine	NOUN
iajs-3102	250	20	learning	learning	NOUN
iajs-3102	250	21	algorithms	algorithm	NOUN
iajs-3102	250	22	.	.	PUNCT
iajs-3102	251	1	journal	journal	NOUN
iajs-3102	251	2	of	of	ADP
iajs-3102	251	3	cleaner	clean	ADJ
iajs-3102	251	4	production	production	NOUN
iajs-3102	251	5	2022	2022	NUM
iajs-3102	251	6	,	,	PUNCT
iajs-3102	251	7	371	371	NUM
iajs-3102	251	8	,	,	PUNCT
iajs-3102	251	9	133612	133612	NUM
iajs-3102	251	10	.	.	PUNCT
iajs-3102	252	1	20	20	NUM
iajs-3102	252	2	.	.	PUNCT
iajs-3102	252	3	matloob	matloob	PROPN
iajs-3102	252	4	,	,	PUNCT
iajs-3102	252	5	f.	f.	PROPN
iajs-3102	252	6	;	;	PUNCT
iajs-3102	252	7	ghazal	ghazal	PROPN
iajs-3102	252	8	,	,	PUNCT
iajs-3102	252	9	t.	t.	PROPN
iajs-3102	252	10	m.	m.	NOUN
iajs-3102	252	11	;	;	PUNCT
iajs-3102	252	12	taleb	taleb	NOUN
iajs-3102	252	13	,	,	PUNCT
iajs-3102	252	14	n.	n.	NOUN
iajs-3102	252	15	;	;	PUNCT
iajs-3102	252	16	aftab	aftab	PROPN
iajs-3102	252	17	,	,	PUNCT
iajs-3102	252	18	s.	s.	PROPN
iajs-3102	252	19	;	;	PUNCT
iajs-3102	252	20	ahmad	ahmad	PROPN
iajs-3102	252	21	,	,	PUNCT
iajs-3102	252	22	m.	m.	NOUN
iajs-3102	252	23	;	;	PUNCT
iajs-3102	252	24	khan	khan	PROPN
iajs-3102	252	25	,	,	PUNCT
iajs-3102	252	26	m.	m.	NOUN
iajs-3102	252	27	a.	a.	PROPN
iajs-3102	252	28	;	;	PUNCT
iajs-3102	252	29	...	...	PUNCT
iajs-3102	252	30	;	;	PUNCT
iajs-3102	252	31	soomro	soomro	PROPN
iajs-3102	252	32	,	,	PUNCT
iajs-3102	252	33	t.	t.	PROPN
iajs-3102	252	34	r.	r.	PROPN
iajs-3102	252	35	software	software	PROPN
iajs-3102	252	36	defect	defect	NOUN
iajs-3102	252	37	prediction	prediction	NOUN
iajs-3102	252	38	using	use	VERB
iajs-3102	252	39	ensemble	ensemble	ADJ
iajs-3102	252	40	learning	learning	NOUN
iajs-3102	252	41	:	:	PUNCT
iajs-3102	252	42	a	a	DET
iajs-3102	252	43	systematic	systematic	ADJ
iajs-3102	252	44	literature	literature	NOUN
iajs-3102	252	45	review	review	NOUN
iajs-3102	252	46	.	.	PUNCT
iajs-3102	253	1	ieee	ieee	NOUN
iajs-3102	253	2	access	access	NOUN
iajs-3102	253	3	2021	2021	NUM
iajs-3102	253	4	,	,	PUNCT
iajs-3102	253	5	9	9	NUM
iajs-3102	253	6	,	,	PUNCT
iajs-3102	253	7	98754	98754	NUM
iajs-3102	253	8	98771	98771	NUM
iajs-3102	253	9	21	21	NUM
iajs-3102	253	10	.	.	PUNCT
iajs-3102	254	1	alamir	alamir	NOUN
iajs-3102	254	2	,	,	PUNCT
iajs-3102	254	3	m.	m.	NOUN
iajs-3102	254	4	a.	a.	NOUN
iajs-3102	254	5	a	a	DET
iajs-3102	254	6	novel	novel	ADJ
iajs-3102	254	7	acoustic	acoustic	ADJ
iajs-3102	254	8	scene	scene	NOUN
iajs-3102	254	9	classification	classification	NOUN
iajs-3102	254	10	model	model	NOUN
iajs-3102	254	11	using	use	VERB
iajs-3102	254	12	the	the	DET
iajs-3102	254	13	late	late	ADJ
iajs-3102	254	14	fusion	fusion	NOUN
iajs-3102	254	15	of	of	ADP
iajs-3102	254	16	convolutional	convolutional	ADJ
iajs-3102	254	17	neural	neural	ADJ
iajs-3102	254	18	networks	network	NOUN
iajs-3102	254	19	and	and	CCONJ
iajs-3102	254	20	different	different	ADJ
iajs-3102	254	21	ensemble	ensemble	ADJ
iajs-3102	254	22	classifiers	classifier	NOUN
iajs-3102	254	23	.	.	PUNCT
iajs-3102	255	1	applied	apply	VERB
iajs-3102	255	2	acoustics	acoustic	NOUN
iajs-3102	255	3	2021	2021	NUM
iajs-3102	255	4	,	,	PUNCT
iajs-3102	255	5	175	175	NUM
iajs-3102	255	6	,	,	PUNCT
iajs-3102	255	7	107829	107829	NUM
iajs-3102	255	8	and	and	CCONJ
iajs-3102	255	9	culture	culture	NOUN
iajs-3102	255	10	,	,	PUNCT
iajs-3102	255	11	5	5	NUM
iajs-3102	255	12	,	,	PUNCT
iajs-3102	255	13	1	1	NUM
iajs-3102	255	14	,	,	PUNCT
iajs-3102	255	15	89	89	NUM
iajs-3102	255	16	-	-	SYM
iajs-3102	255	17	108	108	NUM
iajs-3102	255	18	22	22	NUM
iajs-3102	255	19	.	.	PUNCT
iajs-3102	256	1	mishra	mishra	PROPN
iajs-3102	256	2	,	,	PUNCT
iajs-3102	256	3	p.	p.	PROPN
iajs-3102	256	4	k.	k.	PROPN
iajs-3102	256	5	;	;	PUNCT
iajs-3102	256	6	yadav	yadav	PROPN
iajs-3102	256	7	,	,	PUNCT
iajs-3102	256	8	a.	a.	NOUN
iajs-3102	256	9	;	;	PUNCT
iajs-3102	256	10	pazoki	pazoki	NOUN
iajs-3102	256	11	,	,	PUNCT
iajs-3102	256	12	m.	m.	NOUN
iajs-3102	256	13	a.	a.	NOUN
iajs-3102	256	14	novel	novel	PROPN
iajs-3102	256	15	fault	fault	VERB
iajs-3102	256	16	classification	classification	NOUN
iajs-3102	256	17	scheme	scheme	NOUN
iajs-3102	256	18	for	for	ADP
iajs-3102	256	19	series	series	NOUN
iajs-3102	256	20	capacitor	capacitor	NOUN
iajs-3102	256	21	compensated	compensate	VERB
iajs-3102	256	22	transmission	transmission	NOUN
iajs-3102	256	23	line	line	NOUN
iajs-3102	256	24	based	base	VERB
iajs-3102	256	25	on	on	ADP
iajs-3102	256	26	bagged	bagged	ADJ
iajs-3102	256	27	tree	tree	NOUN
iajs-3102	256	28	ensemble	ensemble	ADJ
iajs-3102	256	29	classifier	classifier	NOUN
iajs-3102	256	30	.	.	PUNCT
iajs-3102	257	1	ieee	ieee	NOUN
iajs-3102	257	2	access	access	NOUN
iajs-3102	257	3	2018	2018	NUM
iajs-3102	257	4	,	,	PUNCT
iajs-3102	257	5	6	6	NUM
iajs-3102	257	6	,	,	PUNCT
iajs-3102	257	7	27373	27373	NUM
iajs-3102	257	8	-	-	SYM
iajs-3102	257	9	27382	27382	NUM
iajs-3102	257	10	.	.	PUNCT