id	sid	tid	token	lemma	pos
ajst-23751	1	1	academic	academic	ADJ
ajst-23751	1	2	journal	journal	NOUN
ajst-23751	1	3	of	of	ADP
ajst-23751	1	4	science	science	NOUN
ajst-23751	1	5	and	and	CCONJ
ajst-23751	1	6	technology	technology	NOUN
ajst-23751	1	7	issn	issn	NOUN
ajst-23751	1	8	:	:	PUNCT
ajst-23751	1	9	2771	2771	NUM
ajst-23751	1	10	-	-	SYM
ajst-23751	1	11	3032	3032	NUM
ajst-23751	1	12	|	|	NOUN
ajst-23751	1	13	vol	vol	NOUN
ajst-23751	1	14	.	.	PROPN
ajst-23751	2	1	11	11	NUM
ajst-23751	2	2	,	,	PUNCT
ajst-23751	2	3	no	no	INTJ
ajst-23751	2	4	.	.	NOUN
ajst-23751	2	5	3	3	NUM
ajst-23751	2	6	,	,	PUNCT
ajst-23751	2	7	2024	2024	NUM
ajst-23751	2	8	233	233	NUM
ajst-23751	2	9	study	study	NOUN
ajst-23751	2	10	of	of	ADP
ajst-23751	2	11	tennis	tennis	NOUN
ajst-23751	2	12	match	match	NOUN
ajst-23751	2	13	momentum	momentum	NOUN
ajst-23751	2	14	based	base	VERB
ajst-23751	2	15	on	on	ADP
ajst-23751	2	16	random	random	ADJ
ajst-23751	2	17	forest	forest	NOUN
ajst-23751	2	18	and	and	CCONJ
ajst-23751	2	19	bp	bp	PROPN
ajst-23751	2	20	neural	neural	ADJ
ajst-23751	2	21	network	network	NOUN
ajst-23751	2	22	models	model	NOUN
ajst-23751	2	23	yifu	yifu	VERB
ajst-23751	2	24	wang	wang	PROPN
ajst-23751	2	25	1	1	NUM
ajst-23751	2	26	,	,	PUNCT
ajst-23751	2	27	*	*	PUNCT
ajst-23751	2	28	,	,	PUNCT
ajst-23751	2	29	yiling	yiling	NOUN
ajst-23751	2	30	yang	yang	PROPN
ajst-23751	2	31	2	2	NUM
ajst-23751	2	32	1	1	NUM
ajst-23751	2	33	school	school	NOUN
ajst-23751	2	34	of	of	ADP
ajst-23751	2	35	electrical	electrical	ADJ
ajst-23751	2	36	engineering	engineering	NOUN
ajst-23751	2	37	,	,	PUNCT
ajst-23751	2	38	northeast	northeast	ADJ
ajst-23751	2	39	electric	electric	PROPN
ajst-23751	2	40	power	power	PROPN
ajst-23751	2	41	university	university	PROPN
ajst-23751	2	42	,	,	PUNCT
ajst-23751	2	43	jilin	jilin	PROPN
ajst-23751	2	44	,	,	PUNCT
ajst-23751	2	45	china	china	PROPN
ajst-23751	2	46	2	2	NUM
ajst-23751	2	47	school	school	NOUN
ajst-23751	2	48	of	of	ADP
ajst-23751	2	49	economics	economic	NOUN
ajst-23751	2	50	and	and	CCONJ
ajst-23751	2	51	management	management	NOUN
ajst-23751	2	52	,	,	PUNCT
ajst-23751	2	53	chongqing	chongqing	PROPN
ajst-23751	2	54	jiaotong	jiaotong	PROPN
ajst-23751	2	55	university	university	PROPN
ajst-23751	2	56	,	,	PUNCT
ajst-23751	2	57	chongqing	chongqing	PROPN
ajst-23751	2	58	,	,	PUNCT
ajst-23751	2	59	china	china	PROPN
ajst-23751	2	60	*	*	PUNCT
ajst-23751	2	61	corresponding	correspond	VERB
ajst-23751	2	62	author	author	NOUN
ajst-23751	2	63	:	:	PUNCT
ajst-23751	2	64	yifu	yifu	PROPN
ajst-23751	2	65	wang	wang	PROPN
ajst-23751	2	66	(	(	PUNCT
ajst-23751	2	67	email	email	NOUN
ajst-23751	2	68	:	:	PUNCT
ajst-23751	2	69	wangyifu0926@gmail.com	wangyifu0926@gmail.com	X
ajst-23751	2	70	)	)	PUNCT
ajst-23751	2	71	abstract	abstract	NOUN
ajst-23751	2	72	:	:	PUNCT
ajst-23751	2	73	the	the	DET
ajst-23751	2	74	aim	aim	NOUN
ajst-23751	2	75	of	of	ADP
ajst-23751	2	76	this	this	DET
ajst-23751	2	77	study	study	NOUN
ajst-23751	2	78	is	be	AUX
ajst-23751	2	79	to	to	PART
ajst-23751	2	80	scientifically	scientifically	ADV
ajst-23751	2	81	analyse	analyse	VERB
ajst-23751	2	82	the	the	DET
ajst-23751	2	83	"	"	PUNCT
ajst-23751	2	84	momentum	momentum	NOUN
ajst-23751	2	85	"	"	PUNCT
ajst-23751	2	86	of	of	ADP
ajst-23751	2	87	a	a	DET
ajst-23751	2	88	tennis	tennis	NOUN
ajst-23751	2	89	match	match	NOUN
ajst-23751	2	90	by	by	ADP
ajst-23751	2	91	developing	develop	VERB
ajst-23751	2	92	a	a	DET
ajst-23751	2	93	mathematical	mathematical	ADJ
ajst-23751	2	94	model	model	NOUN
ajst-23751	2	95	.	.	PUNCT
ajst-23751	3	1	data	datum	NOUN
ajst-23751	3	2	preprocessing	preprocesse	VERB
ajst-23751	3	3	techniques	technique	NOUN
ajst-23751	3	4	,	,	PUNCT
ajst-23751	3	5	such	such	ADJ
ajst-23751	3	6	as	as	ADP
ajst-23751	3	7	k	k	NOUN
ajst-23751	3	8	-	-	PUNCT
ajst-23751	3	9	nearest	near	ADJ
ajst-23751	3	10	neighbour	neighbour	ADJ
ajst-23751	3	11	interpolation	interpolation	NOUN
ajst-23751	3	12	,	,	PUNCT
ajst-23751	3	13	were	be	AUX
ajst-23751	3	14	used	use	VERB
ajst-23751	3	15	to	to	PART
ajst-23751	3	16	deal	deal	VERB
ajst-23751	3	17	with	with	ADP
ajst-23751	3	18	missing	miss	VERB
ajst-23751	3	19	values	value	NOUN
ajst-23751	3	20	in	in	ADP
ajst-23751	3	21	dynamic	dynamic	ADJ
ajst-23751	3	22	matches	match	NOUN
ajst-23751	3	23	.	.	PUNCT
ajst-23751	4	1	by	by	ADP
ajst-23751	4	2	filtering	filter	VERB
ajst-23751	4	3	key	key	ADJ
ajst-23751	4	4	metrics	metric	NOUN
ajst-23751	4	5	through	through	ADP
ajst-23751	4	6	principal	principal	ADJ
ajst-23751	4	7	component	component	NOUN
ajst-23751	4	8	analysis	analysis	NOUN
ajst-23751	4	9	and	and	CCONJ
ajst-23751	4	10	constructing	construct	VERB
ajst-23751	4	11	a	a	DET
ajst-23751	4	12	random	random	ADJ
ajst-23751	4	13	forest	forest	NOUN
ajst-23751	4	14	model	model	NOUN
ajst-23751	4	15	,	,	PUNCT
ajst-23751	4	16	we	we	PRON
ajst-23751	4	17	are	be	AUX
ajst-23751	4	18	able	able	ADJ
ajst-23751	4	19	to	to	PART
ajst-23751	4	20	quantitatively	quantitatively	ADV
ajst-23751	4	21	assess	assess	VERB
ajst-23751	4	22	player	player	NOUN
ajst-23751	4	23	performance	performance	NOUN
ajst-23751	4	24	.	.	PUNCT
ajst-23751	5	1	using	use	VERB
ajst-23751	5	2	bp	bp	PROPN
ajst-23751	5	3	neural	neural	ADJ
ajst-23751	5	4	network	network	NOUN
ajst-23751	5	5	models	model	NOUN
ajst-23751	5	6	and	and	CCONJ
ajst-23751	5	7	genetic	genetic	ADJ
ajst-23751	5	8	algorithms	algorithm	NOUN
ajst-23751	5	9	to	to	PART
ajst-23751	5	10	optimise	optimise	VERB
ajst-23751	5	11	weights	weight	NOUN
ajst-23751	5	12	and	and	CCONJ
ajst-23751	5	13	biases	bias	NOUN
ajst-23751	5	14	,	,	PUNCT
ajst-23751	5	15	we	we	PRON
ajst-23751	5	16	improve	improve	VERB
ajst-23751	5	17	the	the	DET
ajst-23751	5	18	accuracy	accuracy	NOUN
ajst-23751	5	19	of	of	ADP
ajst-23751	5	20	match	match	NOUN
ajst-23751	5	21	trend	trend	NOUN
ajst-23751	5	22	prediction	prediction	NOUN
ajst-23751	5	23	.	.	PUNCT
ajst-23751	6	1	the	the	DET
ajst-23751	6	2	analyses	analysis	NOUN
ajst-23751	6	3	showed	show	VERB
ajst-23751	6	4	the	the	DET
ajst-23751	6	5	significant	significant	ADJ
ajst-23751	6	6	influence	influence	NOUN
ajst-23751	6	7	of	of	ADP
ajst-23751	6	8	match	match	NOUN
ajst-23751	6	9	time	time	NOUN
ajst-23751	6	10	and	and	CCONJ
ajst-23751	6	11	player	player	NOUN
ajst-23751	6	12	status	status	NOUN
ajst-23751	6	13	on	on	ADP
ajst-23751	6	14	match	match	NOUN
ajst-23751	6	15	trends	trend	NOUN
ajst-23751	6	16	.	.	PUNCT
ajst-23751	7	1	these	these	DET
ajst-23751	7	2	research	research	NOUN
ajst-23751	7	3	results	result	NOUN
ajst-23751	7	4	provide	provide	VERB
ajst-23751	7	5	a	a	DET
ajst-23751	7	6	basis	basis	NOUN
ajst-23751	7	7	for	for	ADP
ajst-23751	7	8	scientific	scientific	ADJ
ajst-23751	7	9	and	and	CCONJ
ajst-23751	7	10	data	datum	NOUN
ajst-23751	7	11	-	-	PUNCT
ajst-23751	7	12	based	base	VERB
ajst-23751	7	13	tennis	tennis	NOUN
ajst-23751	7	14	training	training	NOUN
ajst-23751	7	15	,	,	PUNCT
ajst-23751	7	16	which	which	PRON
ajst-23751	7	17	can	can	AUX
ajst-23751	7	18	help	help	VERB
ajst-23751	7	19	coaches	coach	NOUN
ajst-23751	7	20	conduct	conduct	VERB
ajst-23751	7	21	post	post	ADJ
ajst-23751	7	22	-	-	ADJ
ajst-23751	7	23	match	match	ADJ
ajst-23751	7	24	assessment	assessment	NOUN
ajst-23751	7	25	and	and	CCONJ
ajst-23751	7	26	optimise	optimise	ADJ
ajst-23751	7	27	training	training	NOUN
ajst-23751	7	28	programmes	programme	NOUN
ajst-23751	7	29	to	to	PART
ajst-23751	7	30	promote	promote	VERB
ajst-23751	7	31	player	player	NOUN
ajst-23751	7	32	performance	performance	NOUN
ajst-23751	7	33	improvement	improvement	NOUN
ajst-23751	7	34	.	.	PUNCT
ajst-23751	8	1	keywords	keyword	NOUN
ajst-23751	8	2	:	:	PUNCT
ajst-23751	8	3	principal	principal	ADJ
ajst-23751	8	4	component	component	NOUN
ajst-23751	8	5	analysis	analysis	NOUN
ajst-23751	8	6	;	;	PUNCT
ajst-23751	8	7	random	random	ADJ
ajst-23751	8	8	forest	forest	NOUN
ajst-23751	8	9	;	;	PUNCT
ajst-23751	8	10	backpropagation	backpropagation	NOUN
ajst-23751	8	11	neural	neural	ADJ
ajst-23751	8	12	networks	network	NOUN
ajst-23751	8	13	.	.	PUNCT
ajst-23751	9	1	1	1	X
ajst-23751	9	2	.	.	X
ajst-23751	9	3	introduction	introduction	NOUN
ajst-23751	9	4	in	in	ADP
ajst-23751	9	5	today	today	NOUN
ajst-23751	9	6	's	's	PART
ajst-23751	9	7	competitive	competitive	ADJ
ajst-23751	9	8	sports	sport	NOUN
ajst-23751	9	9	,	,	PUNCT
ajst-23751	9	10	sports	sport	NOUN
ajst-23751	9	11	performance	performance	NOUN
ajst-23751	9	12	assessment	assessment	NOUN
ajst-23751	9	13	and	and	CCONJ
ajst-23751	9	14	training	training	NOUN
ajst-23751	9	15	optimisation	optimisation	NOUN
ajst-23751	9	16	have	have	AUX
ajst-23751	9	17	become	become	VERB
ajst-23751	9	18	key	key	ADJ
ajst-23751	9	19	factors	factor	NOUN
ajst-23751	9	20	for	for	ADP
ajst-23751	9	21	success	success	NOUN
ajst-23751	9	22	.	.	PUNCT
ajst-23751	10	1	tennis	tennis	NOUN
ajst-23751	10	2	is	be	AUX
ajst-23751	10	3	a	a	DET
ajst-23751	10	4	very	very	ADV
ajst-23751	10	5	challenging	challenging	ADJ
ajst-23751	10	6	and	and	CCONJ
ajst-23751	10	7	competitive	competitive	ADJ
ajst-23751	10	8	sport	sport	NOUN
ajst-23751	10	9	,	,	PUNCT
ajst-23751	10	10	and	and	CCONJ
ajst-23751	10	11	the	the	DET
ajst-23751	10	12	performance	performance	NOUN
ajst-23751	10	13	of	of	ADP
ajst-23751	10	14	athletes	athlete	NOUN
ajst-23751	10	15	is	be	AUX
ajst-23751	10	16	not	not	PART
ajst-23751	10	17	only	only	ADV
ajst-23751	10	18	affected	affect	VERB
ajst-23751	10	19	by	by	ADP
ajst-23751	10	20	their	their	PRON
ajst-23751	10	21	individual	individual	ADJ
ajst-23751	10	22	skill	skill	NOUN
ajst-23751	10	23	level	level	NOUN
ajst-23751	10	24	,	,	PUNCT
ajst-23751	10	25	but	but	CCONJ
ajst-23751	10	26	also	also	ADV
ajst-23751	10	27	by	by	ADP
ajst-23751	10	28	a	a	DET
ajst-23751	10	29	number	number	NOUN
ajst-23751	10	30	of	of	ADP
ajst-23751	10	31	factors	factor	NOUN
ajst-23751	10	32	,	,	PUNCT
ajst-23751	10	33	including	include	VERB
ajst-23751	10	34	the	the	DET
ajst-23751	10	35	momentum	momentum	NOUN
ajst-23751	10	36	changes	change	NOUN
ajst-23751	10	37	during	during	ADP
ajst-23751	10	38	the	the	DET
ajst-23751	10	39	game	game	NOUN
ajst-23751	10	40	.	.	PUNCT
ajst-23751	11	1	based	base	VERB
ajst-23751	11	2	on	on	ADP
ajst-23751	11	3	the	the	DET
ajst-23751	11	4	scientific	scientific	ADJ
ajst-23751	11	5	and	and	CCONJ
ajst-23751	11	6	data	datum	NOUN
ajst-23751	11	7	-	-	PUNCT
ajst-23751	11	8	oriented	orient	VERB
ajst-23751	11	9	method	method	NOUN
ajst-23751	11	10	,	,	PUNCT
ajst-23751	11	11	this	this	DET
ajst-23751	11	12	study	study	NOUN
ajst-23751	11	13	explores	explore	VERB
ajst-23751	11	14	the	the	DET
ajst-23751	11	15	"	"	PUNCT
ajst-23751	11	16	momentum	momentum	NOUN
ajst-23751	11	17	"	"	PUNCT
ajst-23751	11	18	in	in	ADP
ajst-23751	11	19	tennis	tennis	NOUN
ajst-23751	11	20	.	.	PUNCT
ajst-23751	12	1	through	through	ADP
ajst-23751	12	2	data	data	NOUN
ajst-23751	12	3	preprocessing	preprocessing	NOUN
ajst-23751	12	4	and	and	CCONJ
ajst-23751	12	5	mathematical	mathematical	ADJ
ajst-23751	12	6	modelling	modelling	NOUN
ajst-23751	12	7	,	,	PUNCT
ajst-23751	12	8	we	we	PRON
ajst-23751	12	9	attempt	attempt	VERB
ajst-23751	12	10	to	to	PART
ajst-23751	12	11	reveal	reveal	VERB
ajst-23751	12	12	the	the	DET
ajst-23751	12	13	potential	potential	ADJ
ajst-23751	12	14	impact	impact	NOUN
ajst-23751	12	15	of	of	ADP
ajst-23751	12	16	momentum	momentum	NOUN
ajst-23751	12	17	on	on	ADP
ajst-23751	12	18	match	match	NOUN
ajst-23751	12	19	results	result	NOUN
ajst-23751	12	20	,	,	PUNCT
ajst-23751	12	21	and	and	CCONJ
ajst-23751	12	22	provide	provide	VERB
ajst-23751	12	23	coaches	coach	NOUN
ajst-23751	12	24	with	with	ADP
ajst-23751	12	25	more	more	ADV
ajst-23751	12	26	scientific	scientific	ADJ
ajst-23751	12	27	post	post	ADJ
ajst-23751	12	28	-	-	ADJ
ajst-23751	12	29	match	match	ADJ
ajst-23751	12	30	evaluation	evaluation	NOUN
ajst-23751	12	31	and	and	CCONJ
ajst-23751	12	32	training	training	NOUN
ajst-23751	12	33	optimisation	optimisation	NOUN
ajst-23751	12	34	solutions	solution	NOUN
ajst-23751	12	35	.	.	PUNCT
ajst-23751	13	1	through	through	ADP
ajst-23751	13	2	this	this	DET
ajst-23751	13	3	study	study	NOUN
ajst-23751	13	4	,	,	PUNCT
ajst-23751	13	5	we	we	PRON
ajst-23751	13	6	hope	hope	VERB
ajst-23751	13	7	to	to	PART
ajst-23751	13	8	provide	provide	VERB
ajst-23751	13	9	more	more	ADV
ajst-23751	13	10	effective	effective	ADJ
ajst-23751	13	11	and	and	CCONJ
ajst-23751	13	12	forward	forward	ADV
ajst-23751	13	13	-	-	PUNCT
ajst-23751	13	14	looking	look	VERB
ajst-23751	13	15	guidance	guidance	NOUN
ajst-23751	13	16	for	for	ADP
ajst-23751	13	17	tennis	tennis	NOUN
ajst-23751	13	18	players	player	NOUN
ajst-23751	13	19	'	'	PART
ajst-23751	13	20	training	training	NOUN
ajst-23751	13	21	and	and	CCONJ
ajst-23751	13	22	competition	competition	NOUN
ajst-23751	13	23	,	,	PUNCT
ajst-23751	13	24	and	and	CCONJ
ajst-23751	13	25	promote	promote	VERB
ajst-23751	13	26	the	the	DET
ajst-23751	13	27	understanding	understanding	NOUN
ajst-23751	13	28	and	and	CCONJ
ajst-23751	13	29	application	application	NOUN
ajst-23751	13	30	of	of	ADP
ajst-23751	13	31	data	data	NOUN
ajst-23751	13	32	-	-	PUNCT
ajst-23751	13	33	driven	drive	VERB
ajst-23751	13	34	decisionmaking	decisionmaking	NOUN
ajst-23751	13	35	in	in	ADP
ajst-23751	13	36	the	the	DET
ajst-23751	13	37	whole	whole	ADJ
ajst-23751	13	38	sports	sport	NOUN
ajst-23751	13	39	community	community	NOUN
ajst-23751	14	1	[	[	X
ajst-23751	14	2	1	1	NUM
ajst-23751	14	3	]	]	PUNCT
ajst-23751	14	4	.	.	PUNCT
ajst-23751	15	1	2	2	X
ajst-23751	15	2	.	.	X
ajst-23751	15	3	analysis	analysis	NOUN
ajst-23751	15	4	and	and	CCONJ
ajst-23751	15	5	modelling	model	VERB
ajst-23751	15	6	2.1	2.1	NUM
ajst-23751	15	7	.	.	PUNCT
ajst-23751	16	1	status	status	NOUN
ajst-23751	16	2	of	of	ADP
ajst-23751	16	3	player	player	NOUN
ajst-23751	16	4	performance	performance	NOUN
ajst-23751	16	5	during	during	ADP
ajst-23751	16	6	the	the	DET
ajst-23751	16	7	match	match	NOUN
ajst-23751	16	8	2.1.1	2.1.1	NUM
ajst-23751	16	9	.	.	PUNCT
ajst-23751	17	1	missing	miss	VERB
ajst-23751	17	2	value	value	NOUN
ajst-23751	17	3	handling	handling	NOUN
ajst-23751	17	4	in	in	ADP
ajst-23751	17	5	this	this	DET
ajst-23751	17	6	paper	paper	NOUN
ajst-23751	17	7	,	,	PUNCT
ajst-23751	17	8	we	we	PRON
ajst-23751	17	9	divide	divide	VERB
ajst-23751	17	10	the	the	DET
ajst-23751	17	11	five	five	NUM
ajst-23751	17	12	columns	column	NOUN
ajst-23751	17	13	of	of	ADP
ajst-23751	17	14	data	datum	NOUN
ajst-23751	17	15	into	into	ADP
ajst-23751	17	16	two	two	NUM
ajst-23751	17	17	groups	group	NOUN
ajst-23751	17	18	,	,	PUNCT
ajst-23751	17	19	one	one	NUM
ajst-23751	17	20	group	group	NOUN
ajst-23751	17	21	of	of	ADP
ajst-23751	17	22	numerical	numerical	ADJ
ajst-23751	17	23	variables	variable	NOUN
ajst-23751	17	24	:	:	PUNCT
ajst-23751	17	25	rally_count	rally_count	PROPN
ajst-23751	17	26	and	and	CCONJ
ajst-23751	17	27	speed_mph	speed_mph	PROPN
ajst-23751	17	28	,	,	PUNCT
ajst-23751	17	29	and	and	CCONJ
ajst-23751	17	30	one	one	NUM
ajst-23751	17	31	group	group	NOUN
ajst-23751	17	32	of	of	ADP
ajst-23751	17	33	categorical	categorical	ADJ
ajst-23751	17	34	variables	variable	NOUN
ajst-23751	17	35	:	:	PUNCT
ajst-23751	17	36	serve_width	serve_width	ADJ
ajst-23751	17	37	,	,	PUNCT
ajst-23751	17	38	serve_depth	serve_depth	NOUN
ajst-23751	17	39	and	and	CCONJ
ajst-23751	17	40	return_depth	return_depth	NOUN
ajst-23751	17	41	.	.	PUNCT
ajst-23751	18	1	we	we	PRON
ajst-23751	18	2	adopt	adopt	VERB
ajst-23751	18	3	knearest	knearest	NOUN
ajst-23751	18	4	neighbor	neighbor	NOUN
ajst-23751	18	5	interpolation	interpolation	NOUN
ajst-23751	18	6	(	(	PUNCT
ajst-23751	18	7	knn	knn	PROPN
ajst-23751	18	8	)	)	PUNCT
ajst-23751	18	9	to	to	PART
ajst-23751	18	10	deal	deal	VERB
ajst-23751	18	11	with	with	ADP
ajst-23751	18	12	the	the	DET
ajst-23751	18	13	numerical	numerical	ADJ
ajst-23751	18	14	variables	variable	NOUN
ajst-23751	18	15	,	,	PUNCT
ajst-23751	18	16	and	and	CCONJ
ajst-23751	18	17	we	we	PRON
ajst-23751	18	18	adopt	adopt	VERB
ajst-23751	18	19	plurality	plurality	NOUN
ajst-23751	18	20	interpolation	interpolation	NOUN
ajst-23751	18	21	to	to	PART
ajst-23751	18	22	deal	deal	VERB
ajst-23751	18	23	with	with	ADP
ajst-23751	18	24	the	the	DET
ajst-23751	18	25	categorical	categorical	ADJ
ajst-23751	18	26	variables	variable	NOUN
ajst-23751	18	27	.	.	PUNCT
ajst-23751	19	1	k	k	X
ajst-23751	19	2	-	-	PUNCT
ajst-23751	19	3	nearest	near	ADJ
ajst-23751	19	4	neighbor	neighbor	NOUN
ajst-23751	19	5	interpolation	interpolation	NOUN
ajst-23751	19	6	does	do	AUX
ajst-23751	19	7	not	not	PART
ajst-23751	19	8	require	require	VERB
ajst-23751	19	9	specific	specific	ADJ
ajst-23751	19	10	assumptions	assumption	NOUN
ajst-23751	19	11	about	about	ADP
ajst-23751	19	12	the	the	DET
ajst-23751	19	13	distribution	distribution	NOUN
ajst-23751	19	14	of	of	ADP
ajst-23751	19	15	the	the	DET
ajst-23751	19	16	data	datum	NOUN
ajst-23751	19	17	and	and	CCONJ
ajst-23751	19	18	is	be	AUX
ajst-23751	19	19	therefore	therefore	ADV
ajst-23751	19	20	suitable	suitable	ADJ
ajst-23751	19	21	for	for	ADP
ajst-23751	19	22	all	all	DET
ajst-23751	19	23	types	type	NOUN
ajst-23751	19	24	of	of	ADP
ajst-23751	19	25	complex	complex	ADJ
ajst-23751	19	26	distributions	distribution	NOUN
ajst-23751	19	27	in	in	ADP
ajst-23751	19	28	real	real	ADJ
ajst-23751	19	29	datasets	dataset	NOUN
ajst-23751	19	30	.	.	PUNCT
ajst-23751	20	1	the	the	DET
ajst-23751	20	2	method	method	NOUN
ajst-23751	20	3	utilizes	utilize	VERB
ajst-23751	20	4	the	the	DET
ajst-23751	20	5	local	local	ADJ
ajst-23751	20	6	structure	structure	NOUN
ajst-23751	20	7	within	within	ADP
ajst-23751	20	8	the	the	DET
ajst-23751	20	9	data	datum	NOUN
ajst-23751	20	10	to	to	PART
ajst-23751	20	11	make	make	VERB
ajst-23751	20	12	predictions	prediction	NOUN
ajst-23751	20	13	,	,	PUNCT
ajst-23751	20	14	and	and	CCONJ
ajst-23751	20	15	the	the	DET
ajst-23751	20	16	interpolated	interpolate	VERB
ajst-23751	20	17	values	value	NOUN
ajst-23751	20	18	are	be	AUX
ajst-23751	20	19	often	often	ADV
ajst-23751	20	20	more	more	ADV
ajst-23751	20	21	reliable	reliable	ADJ
ajst-23751	20	22	than	than	ADP
ajst-23751	20	23	the	the	DET
ajst-23751	20	24	simple	simple	ADJ
ajst-23751	20	25	mean	mean	NOUN
ajst-23751	20	26	or	or	CCONJ
ajst-23751	20	27	median	median	NOUN
ajst-23751	20	28	.	.	PUNCT
ajst-23751	21	1	the	the	DET
ajst-23751	21	2	plurality	plurality	NOUN
ajst-23751	21	3	interpolation	interpolation	NOUN
ajst-23751	21	4	method	method	NOUN
ajst-23751	21	5	also	also	ADV
ajst-23751	21	6	makes	make	VERB
ajst-23751	21	7	no	no	DET
ajst-23751	21	8	assumptions	assumption	NOUN
ajst-23751	21	9	about	about	ADP
ajst-23751	21	10	the	the	DET
ajst-23751	21	11	distribution	distribution	NOUN
ajst-23751	21	12	of	of	ADP
ajst-23751	21	13	the	the	DET
ajst-23751	21	14	data	datum	NOUN
ajst-23751	21	15	,	,	PUNCT
ajst-23751	21	16	and	and	CCONJ
ajst-23751	21	17	is	be	AUX
ajst-23751	21	18	especially	especially	ADV
ajst-23751	21	19	advantageous	advantageous	ADJ
ajst-23751	21	20	when	when	SCONJ
ajst-23751	21	21	the	the	DET
ajst-23751	21	22	data	datum	NOUN
ajst-23751	21	23	do	do	AUX
ajst-23751	21	24	not	not	PART
ajst-23751	21	25	conform	conform	VERB
ajst-23751	21	26	to	to	ADP
ajst-23751	21	27	a	a	DET
ajst-23751	21	28	normal	normal	ADJ
ajst-23751	21	29	distribution	distribution	NOUN
ajst-23751	21	30	.	.	PUNCT
ajst-23751	22	1	this	this	DET
ajst-23751	22	2	method	method	NOUN
ajst-23751	22	3	maintains	maintain	VERB
ajst-23751	22	4	data	datum	NOUN
ajst-23751	22	5	integrity	integrity	NOUN
ajst-23751	22	6	and	and	CCONJ
ajst-23751	22	7	,	,	PUNCT
ajst-23751	22	8	by	by	ADP
ajst-23751	22	9	interpolating	interpolate	VERB
ajst-23751	22	10	using	use	VERB
ajst-23751	22	11	values	value	NOUN
ajst-23751	22	12	that	that	PRON
ajst-23751	22	13	already	already	ADV
ajst-23751	22	14	exist	exist	VERB
ajst-23751	22	15	in	in	ADP
ajst-23751	22	16	the	the	DET
ajst-23751	22	17	data	data	NOUN
ajst-23751	22	18	set	set	NOUN
ajst-23751	22	19	,	,	PUNCT
ajst-23751	22	20	it	it	PRON
ajst-23751	22	21	maintains	maintain	VERB
ajst-23751	22	22	the	the	DET
ajst-23751	22	23	frequency	frequency	NOUN
ajst-23751	22	24	distribution	distribution	NOUN
ajst-23751	22	25	of	of	ADP
ajst-23751	22	26	the	the	DET
ajst-23751	22	27	variable	variable	NOUN
ajst-23751	22	28	,	,	PUNCT
ajst-23751	22	29	a	a	DET
ajst-23751	22	30	feature	feature	NOUN
ajst-23751	22	31	that	that	PRON
ajst-23751	22	32	is	be	AUX
ajst-23751	22	33	particularly	particularly	ADV
ajst-23751	22	34	applicable	applicable	ADJ
ajst-23751	22	35	to	to	ADP
ajst-23751	22	36	the	the	DET
ajst-23751	22	37	categorical	categorical	ADJ
ajst-23751	22	38	variables	variable	NOUN
ajst-23751	22	39	covered	cover	VERB
ajst-23751	22	40	in	in	ADP
ajst-23751	22	41	this	this	DET
ajst-23751	22	42	paper	paper	NOUN
ajst-23751	23	1	[	[	X
ajst-23751	23	2	2	2	NUM
ajst-23751	23	3	]	]	PUNCT
ajst-23751	23	4	.	.	PUNCT
ajst-23751	24	1	the	the	DET
ajst-23751	24	2	distributions	distribution	NOUN
ajst-23751	24	3	of	of	ADP
ajst-23751	24	4	ally_count	ally_count	PROPN
ajst-23751	24	5	and	and	CCONJ
ajst-23751	24	6	speed_mph	speed_mph	NUM
ajst-23751	24	7	data	datum	NOUN
ajst-23751	24	8	before	before	ADV
ajst-23751	24	9	and	and	CCONJ
ajst-23751	24	10	after	after	ADP
ajst-23751	24	11	using	use	VERB
ajst-23751	24	12	k	k	PROPN
ajst-23751	24	13	nearest	near	ADJ
ajst-23751	24	14	neighbour	neighbour	ADJ
ajst-23751	24	15	interpolation	interpolation	NOUN
ajst-23751	24	16	were	be	AUX
ajst-23751	24	17	compared	compare	VERB
ajst-23751	24	18	,	,	PUNCT
ajst-23751	24	19	as	as	SCONJ
ajst-23751	24	20	shown	show	VERB
ajst-23751	24	21	in	in	ADP
ajst-23751	24	22	figures	figure	NOUN
ajst-23751	24	23	1	1	NUM
ajst-23751	24	24	and	and	CCONJ
ajst-23751	24	25	2	2	NUM
ajst-23751	24	26	.	.	X
ajst-23751	24	27	figure	figure	NOUN
ajst-23751	24	28	1	1	NUM
ajst-23751	24	29	.	.	PUNCT
ajst-23751	25	1	before	before	ADP
ajst-23751	25	2	data	data	NOUN
ajst-23751	25	3	cleansing	cleansing	NOUN
ajst-23751	25	4	figure	figure	NOUN
ajst-23751	25	5	2	2	NUM
ajst-23751	25	6	.	.	PUNCT
ajst-23751	26	1	after	after	ADP
ajst-23751	26	2	data	data	NOUN
ajst-23751	26	3	cleansing	cleanse	VERB
ajst-23751	26	4	234	234	NUM
ajst-23751	26	5	in	in	ADP
ajst-23751	26	6	order	order	NOUN
ajst-23751	26	7	to	to	PART
ajst-23751	26	8	verify	verify	VERB
ajst-23751	26	9	the	the	DET
ajst-23751	26	10	reasonableness	reasonableness	NOUN
ajst-23751	26	11	of	of	ADP
ajst-23751	26	12	the	the	DET
ajst-23751	26	13	data	datum	NOUN
ajst-23751	26	14	after	after	ADP
ajst-23751	26	15	knearest	knearest	NOUN
ajst-23751	26	16	neighbour	neighbour	ADJ
ajst-23751	26	17	interpolation	interpolation	NOUN
ajst-23751	26	18	,	,	PUNCT
ajst-23751	26	19	this	this	DET
ajst-23751	26	20	paper	paper	NOUN
ajst-23751	26	21	uses	use	VERB
ajst-23751	26	22	residual	residual	ADJ
ajst-23751	26	23	analysis	analysis	NOUN
ajst-23751	26	24	[	[	X
ajst-23751	26	25	3	3	NUM
ajst-23751	26	26	]	]	PUNCT
ajst-23751	26	27	,	,	PUNCT
ajst-23751	26	28	which	which	PRON
ajst-23751	26	29	is	be	AUX
ajst-23751	26	30	a	a	DET
ajst-23751	26	31	residual	residual	ADJ
ajst-23751	26	32	plot	plot	NOUN
ajst-23751	26	33	that	that	PRON
ajst-23751	26	34	checks	check	VERB
ajst-23751	26	35	whether	whether	SCONJ
ajst-23751	26	36	any	any	DET
ajst-23751	26	37	bias	bias	NOUN
ajst-23751	26	38	or	or	CCONJ
ajst-23751	26	39	outliers	outlier	NOUN
ajst-23751	26	40	have	have	AUX
ajst-23751	26	41	been	be	AUX
ajst-23751	26	42	introduced	introduce	VERB
ajst-23751	26	43	by	by	ADP
ajst-23751	26	44	interpolating	interpolate	VERB
ajst-23751	26	45	the	the	DET
ajst-23751	26	46	data	datum	NOUN
ajst-23751	26	47	.	.	PUNCT
ajst-23751	27	1	this	this	PRON
ajst-23751	27	2	is	be	AUX
ajst-23751	27	3	shown	show	VERB
ajst-23751	27	4	in	in	ADP
ajst-23751	27	5	figure	figure	NOUN
ajst-23751	27	6	3	3	NUM
ajst-23751	27	7	below	below	ADV
ajst-23751	27	8	:	:	PUNCT
ajst-23751	27	9	figure	figure	VERB
ajst-23751	27	10	3	3	NUM
ajst-23751	27	11	.	.	PUNCT
ajst-23751	27	12	residual	residual	ADJ
ajst-23751	27	13	plot	plot	NOUN
ajst-23751	27	14	comparing	compare	VERB
ajst-23751	27	15	the	the	DET
ajst-23751	27	16	two	two	NUM
ajst-23751	27	17	graphs	graph	NOUN
ajst-23751	27	18	,	,	PUNCT
ajst-23751	27	19	the	the	DET
ajst-23751	27	20	residuals	residual	NOUN
ajst-23751	27	21	fluctuate	fluctuate	NOUN
ajst-23751	27	22	up	up	ADP
ajst-23751	27	23	and	and	CCONJ
ajst-23751	27	24	down	down	ADP
ajst-23751	27	25	the	the	DET
ajst-23751	27	26	horizontal	horizontal	ADJ
ajst-23751	27	27	line	line	NOUN
ajst-23751	27	28	(	(	PUNCT
ajst-23751	27	29	the	the	DET
ajst-23751	27	30	line	line	NOUN
ajst-23751	27	31	with	with	ADP
ajst-23751	27	32	a	a	DET
ajst-23751	27	33	residual	residual	ADJ
ajst-23751	27	34	of	of	ADP
ajst-23751	27	35	0	0	NUM
ajst-23751	27	36	)	)	PUNCT
ajst-23751	27	37	,	,	PUNCT
ajst-23751	27	38	and	and	CCONJ
ajst-23751	27	39	the	the	DET
ajst-23751	27	40	distribution	distribution	NOUN
ajst-23751	27	41	pattern	pattern	NOUN
ajst-23751	27	42	is	be	AUX
ajst-23751	27	43	roughly	roughly	ADV
ajst-23751	27	44	the	the	DET
ajst-23751	27	45	same	same	ADJ
ajst-23751	27	46	.	.	PUNCT
ajst-23751	28	1	the	the	DET
ajst-23751	28	2	residual	residual	ADJ
ajst-23751	28	3	values	value	NOUN
ajst-23751	28	4	of	of	ADP
ajst-23751	28	5	the	the	DET
ajst-23751	28	6	processed	process	VERB
ajst-23751	28	7	data	datum	NOUN
ajst-23751	28	8	fit	fit	NOUN
ajst-23751	28	9	are	be	AUX
ajst-23751	28	10	more	more	ADV
ajst-23751	28	11	concentrated	concentrated	ADJ
ajst-23751	28	12	in	in	ADP
ajst-23751	28	13	the	the	DET
ajst-23751	28	14	110	110	NUM
ajst-23751	28	15	to	to	PART
ajst-23751	28	16	114	114	NUM
ajst-23751	28	17	region	region	NOUN
ajst-23751	28	18	,	,	PUNCT
ajst-23751	28	19	which	which	PRON
ajst-23751	28	20	indicates	indicate	VERB
ajst-23751	28	21	that	that	SCONJ
ajst-23751	28	22	interpolation	interpolation	NOUN
ajst-23751	28	23	improves	improve	VERB
ajst-23751	28	24	the	the	DET
ajst-23751	28	25	model	model	NOUN
ajst-23751	28	26	fit	fit	ADJ
ajst-23751	28	27	in	in	ADP
ajst-23751	28	28	these	these	DET
ajst-23751	28	29	regions	region	NOUN
ajst-23751	28	30	.	.	PUNCT
ajst-23751	29	1	data	datum	NOUN
ajst-23751	29	2	interpolation	interpolation	NOUN
ajst-23751	29	3	is	be	AUX
ajst-23751	29	4	reasonable	reasonable	ADJ
ajst-23751	29	5	.	.	PUNCT
ajst-23751	30	1	distribute	distribute	VERB
ajst-23751	30	2	serve_width	serve_width	ADJ
ajst-23751	30	3	,	,	PUNCT
ajst-23751	30	4	serve_depth	serve_depth	NOUN
ajst-23751	30	5	,	,	PUNCT
ajst-23751	30	6	and	and	CCONJ
ajst-23751	30	7	return_depth	return_depth	NOUN
ajst-23751	30	8	data	datum	NOUN
ajst-23751	30	9	before	before	ADV
ajst-23751	30	10	and	and	CCONJ
ajst-23751	30	11	after	after	ADP
ajst-23751	30	12	using	use	VERB
ajst-23751	30	13	pattern	pattern	NOUN
ajst-23751	30	14	interpolation	interpolation	NOUN
ajst-23751	30	15	,	,	PUNCT
ajst-23751	30	16	as	as	SCONJ
ajst-23751	30	17	shown	show	VERB
ajst-23751	30	18	in	in	ADP
ajst-23751	30	19	figure	figure	NOUN
ajst-23751	30	20	4	4	NUM
ajst-23751	30	21	below	below	ADV
ajst-23751	30	22	:	:	PUNCT
ajst-23751	30	23	figure	figure	VERB
ajst-23751	30	24	4	4	NUM
ajst-23751	30	25	.	.	PUNCT
ajst-23751	31	1	before	before	SCONJ
ajst-23751	31	2	and	and	CCONJ
ajst-23751	31	3	after	after	ADP
ajst-23751	31	4	data	datum	NOUN
ajst-23751	31	5	distribution	distribution	NOUN
ajst-23751	31	6	in	in	ADP
ajst-23751	31	7	order	order	NOUN
ajst-23751	31	8	to	to	PART
ajst-23751	31	9	verify	verify	VERB
ajst-23751	31	10	whether	whether	SCONJ
ajst-23751	31	11	the	the	DET
ajst-23751	31	12	data	datum	NOUN
ajst-23751	31	13	is	be	AUX
ajst-23751	31	14	reasonable	reasonable	ADJ
ajst-23751	31	15	after	after	ADP
ajst-23751	31	16	processing	processing	NOUN
ajst-23751	31	17	,	,	PUNCT
ajst-23751	31	18	the	the	DET
ajst-23751	31	19	chi	chi	ADJ
ajst-23751	31	20	-	-	PUNCT
ajst-23751	31	21	square	square	ADJ
ajst-23751	31	22	test	test	NOUN
ajst-23751	31	23	is	be	AUX
ajst-23751	31	24	used	use	VERB
ajst-23751	31	25	,	,	PUNCT
ajst-23751	31	26	that	that	ADV
ajst-23751	31	27	is	is	ADV
ajst-23751	31	28	,	,	PUNCT
ajst-23751	31	29	whether	whether	SCONJ
ajst-23751	31	30	there	there	PRON
ajst-23751	31	31	is	be	VERB
ajst-23751	31	32	a	a	DET
ajst-23751	31	33	significant	significant	ADJ
ajst-23751	31	34	difference	difference	NOUN
ajst-23751	31	35	between	between	ADP
ajst-23751	31	36	the	the	DET
ajst-23751	31	37	actual	actual	ADJ
ajst-23751	31	38	and	and	CCONJ
ajst-23751	31	39	expected	expect	VERB
ajst-23751	31	40	frequency	frequency	NOUN
ajst-23751	31	41	distributions	distribution	NOUN
ajst-23751	31	42	.	.	PUNCT
ajst-23751	32	1	the	the	DET
ajst-23751	32	2	spss	spss	PROPN
ajst-23751	32	3	software	software	NOUN
ajst-23751	32	4	was	be	AUX
ajst-23751	32	5	used	use	VERB
ajst-23751	32	6	to	to	PART
ajst-23751	32	7	prove	prove	VERB
ajst-23751	32	8	that	that	SCONJ
ajst-23751	32	9	the	the	DET
ajst-23751	32	10	data	datum	NOUN
ajst-23751	32	11	were	be	AUX
ajst-23751	32	12	not	not	PART
ajst-23751	32	13	significantly	significantly	ADV
ajst-23751	32	14	different	different	ADJ
ajst-23751	32	15	,	,	PUNCT
ajst-23751	32	16	so	so	CCONJ
ajst-23751	32	17	the	the	DET
ajst-23751	32	18	method	method	NOUN
ajst-23751	32	19	is	be	AUX
ajst-23751	32	20	reasonable	reasonable	ADJ
ajst-23751	32	21	to	to	PART
ajst-23751	32	22	process	process	VERB
ajst-23751	32	23	the	the	DET
ajst-23751	32	24	data	datum	NOUN
ajst-23751	32	25	[	[	X
ajst-23751	32	26	4	4	NUM
ajst-23751	32	27	]	]	PUNCT
ajst-23751	32	28	.	.	PUNCT
ajst-23751	33	1	2.1.2	2.1.2	X
ajst-23751	33	2	.	.	X
ajst-23751	33	3	identify	identify	VERB
ajst-23751	33	4	relevant	relevant	ADJ
ajst-23751	33	5	metrics	metric	NOUN
ajst-23751	33	6	there	there	PRON
ajst-23751	33	7	are	be	VERB
ajst-23751	33	8	many	many	ADJ
ajst-23751	33	9	factors	factor	NOUN
ajst-23751	33	10	that	that	PRON
ajst-23751	33	11	reflect	reflect	VERB
ajst-23751	33	12	a	a	DET
ajst-23751	33	13	player	player	NOUN
ajst-23751	33	14	's	's	PART
ajst-23751	33	15	performance	performance	NOUN
ajst-23751	33	16	on	on	ADP
ajst-23751	33	17	the	the	DET
ajst-23751	33	18	playing	play	VERB
ajst-23751	33	19	field	field	NOUN
ajst-23751	33	20	,	,	PUNCT
ajst-23751	33	21	such	such	ADJ
ajst-23751	33	22	as	as	ADP
ajst-23751	33	23	the	the	DET
ajst-23751	33	24	distance	distance	NOUN
ajst-23751	33	25	traveled	travel	VERB
ajst-23751	33	26	on	on	ADP
ajst-23751	33	27	the	the	DET
ajst-23751	33	28	court	court	NOUN
ajst-23751	33	29	,	,	PUNCT
ajst-23751	33	30	the	the	DET
ajst-23751	33	31	speed	speed	NOUN
ajst-23751	33	32	of	of	ADP
ajst-23751	33	33	hitting	hit	VERB
ajst-23751	33	34	the	the	DET
ajst-23751	33	35	ball	ball	NOUN
ajst-23751	33	36	,	,	PUNCT
ajst-23751	33	37	the	the	DET
ajst-23751	33	38	depth	depth	NOUN
ajst-23751	33	39	of	of	ADP
ajst-23751	33	40	serve	serve	NOUN
ajst-23751	33	41	,	,	PUNCT
ajst-23751	33	42	etc	etc	X
ajst-23751	33	43	.	.	X
ajst-23751	34	1	in	in	ADP
ajst-23751	34	2	this	this	DET
ajst-23751	34	3	article	article	NOUN
ajst-23751	34	4	,	,	PUNCT
ajst-23751	34	5	15	15	NUM
ajst-23751	34	6	characteristic	characteristic	ADJ
ajst-23751	34	7	indicators	indicator	NOUN
ajst-23751	34	8	that	that	PRON
ajst-23751	34	9	reflect	reflect	VERB
ajst-23751	34	10	the	the	DET
ajst-23751	34	11	performance	performance	NOUN
ajst-23751	34	12	of	of	ADP
ajst-23751	34	13	players	player	NOUN
ajst-23751	34	14	are	be	AUX
ajst-23751	34	15	selected	select	VERB
ajst-23751	34	16	and	and	CCONJ
ajst-23751	34	17	specific	specific	ADJ
ajst-23751	34	18	definitions	definition	NOUN
ajst-23751	34	19	are	be	AUX
ajst-23751	34	20	given	give	VERB
ajst-23751	34	21	.	.	PUNCT
ajst-23751	35	1	(	(	PUNCT
ajst-23751	35	2	1	1	X
ajst-23751	35	3	)	)	PUNCT
ajst-23751	35	4	service	service	NOUN
ajst-23751	35	5	score	score	NOUN
ajst-23751	35	6	rate	rate	NOUN
ajst-23751	35	7	spw	spw	PROPN
ajst-23751	35	8	(	(	PUNCT
ajst-23751	35	9	service	service	NOUN
ajst-23751	35	10	points	point	NOUN
ajst-23751	35	11	won	win	VERB
ajst-23751	35	12	)	)	PUNCT
ajst-23751	35	13	definition	definition	NOUN
ajst-23751	35	14	:	:	PUNCT
ajst-23751	35	15	the	the	DET
ajst-23751	35	16	service	service	NOUN
ajst-23751	35	17	scoring	scoring	NOUN
ajst-23751	35	18	rate	rate	NOUN
ajst-23751	35	19	is	be	AUX
ajst-23751	35	20	the	the	DET
ajst-23751	35	21	percentage	percentage	NOUN
ajst-23751	35	22	of	of	ADP
ajst-23751	35	23	the	the	DET
ajst-23751	35	24	serving	serve	VERB
ajst-23751	35	25	team	team	NOUN
ajst-23751	35	26	in	in	ADP
ajst-23751	35	27	the	the	DET
ajst-23751	35	28	service	service	NOUN
ajst-23751	35	29	game	game	NOUN
ajst-23751	35	30	.	.	PUNCT
ajst-23751	36	1	(	(	PUNCT
ajst-23751	36	2	1	1	X
ajst-23751	36	3	)	)	PUNCT
ajst-23751	36	4	where	where	SCONJ
ajst-23751	36	5	represents	represent	VERB
ajst-23751	36	6	0	0	NUM
ajst-23751	36	7	or	or	CCONJ
ajst-23751	36	8	1	1	NUM
ajst-23751	36	9	untouchable	untouchable	ADJ
ajst-23751	36	10	winning	winning	NOUN
ajst-23751	36	11	serve	serve	NOUN
ajst-23751	36	12	from	from	ADP
ajst-23751	36	13	player	player	NOUN
ajst-23751	36	14	a	a	PRON
ajst-23751	36	15	in	in	ADP
ajst-23751	36	16	the	the	DET
ajst-23751	36	17	authorities	authority	NOUN
ajst-23751	36	18	,	,	PUNCT
ajst-23751	36	19	winner	winner	NOUN
ajst-23751	36	20	means	mean	VERB
ajst-23751	36	21	that	that	SCONJ
ajst-23751	36	22	player	player	NOUN
ajst-23751	36	23	a	a	PRON
ajst-23751	36	24	has	have	AUX
ajst-23751	36	25	played	play	VERB
ajst-23751	36	26	one	one	NUM
ajst-23751	36	27	or	or	CCONJ
ajst-23751	36	28	0	0	NUM
ajst-23751	36	29	untouchable	untouchable	ADJ
ajst-23751	36	30	winning	win	VERB
ajst-23751	36	31	goals	goal	NOUN
ajst-23751	36	32	in	in	ADP
ajst-23751	36	33	the	the	DET
ajst-23751	36	34	authorities	authority	NOUN
ajst-23751	36	35	;	;	PUNCT
ajst-23751	36	36	_	_	PRON
ajst-23751	36	37	means	mean	VERB
ajst-23751	36	38	the	the	DET
ajst-23751	36	39	noth	noth	PROPN
ajst-23751	36	40	service	service	NOUN
ajst-23751	36	41	game	game	NOUN
ajst-23751	36	42	,	,	PUNCT
ajst-23751	36	43	and	and	CCONJ
ajst-23751	36	44	no	no	PRON
ajst-23751	36	45	can	can	AUX
ajst-23751	36	46	be	be	AUX
ajst-23751	36	47	equal	equal	ADJ
ajst-23751	36	48	to	to	ADP
ajst-23751	36	49	1	1	NUM
ajst-23751	36	50	or	or	CCONJ
ajst-23751	36	51	2	2	NUM
ajst-23751	36	52	.	.	PUNCT
ajst-23751	37	1	the	the	DET
ajst-23751	37	2	server	server	NOUN
ajst-23751	37	3	has	have	VERB
ajst-23751	37	4	an	an	DET
ajst-23751	37	5	advantage	advantage	NOUN
ajst-23751	37	6	in	in	ADP
ajst-23751	37	7	the	the	DET
ajst-23751	37	8	match	match	NOUN
ajst-23751	37	9	,	,	PUNCT
ajst-23751	37	10	and	and	CCONJ
ajst-23751	37	11	the	the	DET
ajst-23751	37	12	score	score	NOUN
ajst-23751	37	13	rate	rate	NOUN
ajst-23751	37	14	of	of	ADP
ajst-23751	37	15	the	the	DET
ajst-23751	37	16	serve	serve	NOUN
ajst-23751	37	17	can	can	AUX
ajst-23751	37	18	be	be	AUX
ajst-23751	37	19	used	use	VERB
ajst-23751	37	20	as	as	ADP
ajst-23751	37	21	an	an	DET
ajst-23751	37	22	indicator	indicator	NOUN
ajst-23751	37	23	of	of	ADP
ajst-23751	37	24	whether	whether	SCONJ
ajst-23751	37	25	the	the	DET
ajst-23751	37	26	player	player	NOUN
ajst-23751	37	27	is	be	AUX
ajst-23751	37	28	performing	perform	VERB
ajst-23751	37	29	well	well	ADV
ajst-23751	37	30	in	in	ADP
ajst-23751	37	31	the	the	DET
ajst-23751	37	32	service	service	NOUN
ajst-23751	37	33	game	game	NOUN
ajst-23751	37	34	based	base	VERB
ajst-23751	37	35	on	on	ADP
ajst-23751	37	36	the	the	DET
ajst-23751	37	37	scoring	scoring	NOUN
ajst-23751	37	38	rate	rate	NOUN
ajst-23751	37	39	of	of	ADP
ajst-23751	37	40	the	the	DET
ajst-23751	37	41	serve	serve	NOUN
ajst-23751	37	42	.	.	PUNCT
ajst-23751	38	1	(	(	PUNCT
ajst-23751	38	2	2	2	X
ajst-23751	38	3	)	)	PUNCT
ajst-23751	38	4	unforced	unforced	ADJ
ajst-23751	38	5	errorsrate	errorsrate	NOUN
ajst-23751	38	6	(	(	PUNCT
ajst-23751	38	7	uer	uer	NOUN
ajst-23751	38	8	)	)	PUNCT
ajst-23751	38	9	definition	definition	NOUN
ajst-23751	38	10	:	:	PUNCT
ajst-23751	38	11	the	the	DET
ajst-23751	38	12	frequency	frequency	NOUN
ajst-23751	38	13	or	or	CCONJ
ajst-23751	38	14	proportion	proportion	NOUN
ajst-23751	38	15	of	of	ADP
ajst-23751	38	16	unforced	unforced	ADJ
ajst-23751	38	17	errors	error	NOUN
ajst-23751	38	18	made	make	VERB
ajst-23751	38	19	by	by	ADP
ajst-23751	38	20	player	player	NOUN
ajst-23751	38	21	a	a	PRON
ajst-23751	38	22	during	during	ADP
ajst-23751	38	23	a	a	DET
ajst-23751	38	24	match	match	NOUN
ajst-23751	38	25	.	.	PUNCT
ajst-23751	39	1	_	_	NOUN
ajst-23751	40	1	_	_	PUNCT
ajst-23751	41	1	_	_	PUNCT
ajst-23751	42	1	_	_	PUNCT
ajst-23751	43	1	_	_	PUNCT
ajst-23751	44	1	_	_	PUNCT
ajst-23751	44	2	(	(	PUNCT
ajst-23751	44	3	2	2	X
ajst-23751	44	4	)	)	PUNCT
ajst-23751	44	5	where	where	SCONJ
ajst-23751	44	6	_	_	PUNCT
ajst-23751	44	7	_	_	PRON
ajst-23751	45	1	player	player	NOUN
ajst-23751	45	2	a	a	PRON
ajst-23751	45	3	makes	make	VERB
ajst-23751	45	4	an	an	DET
ajst-23751	45	5	unforced	unforced	ADJ
ajst-23751	45	6	error	error	NOUN
ajst-23751	45	7	,	,	PUNCT
ajst-23751	45	8	_	_	PUNCT
ajst-23751	46	1	_	_	PUNCT
ajst-23751	46	2	denotes	denote	VERB
ajst-23751	46	3	the	the	DET
ajst-23751	46	4	number	number	NOUN
ajst-23751	46	5	of	of	ADP
ajst-23751	46	6	points	point	NOUN
ajst-23751	46	7	won	win	VERB
ajst-23751	46	8	by	by	ADP
ajst-23751	46	9	player	player	NOUN
ajst-23751	46	10	a	a	PRON
ajst-23751	46	11	in	in	ADP
ajst-23751	46	12	the	the	DET
ajst-23751	46	13	match	match	NOUN
ajst-23751	46	14	,	,	PUNCT
ajst-23751	46	15	and	and	CCONJ
ajst-23751	46	16	_	_	PUNCT
ajst-23751	47	1	_	_	PRON
ajst-23751	47	2	denotes	denote	VERB
ajst-23751	47	3	the	the	DET
ajst-23751	47	4	number	number	NOUN
ajst-23751	47	5	of	of	ADP
ajst-23751	47	6	points	point	NOUN
ajst-23751	47	7	won	win	VERB
ajst-23751	47	8	by	by	ADP
ajst-23751	47	9	player	player	NOUN
ajst-23751	47	10	a	a	PROPN
ajst-23751	47	11	's	's	PART
ajst-23751	47	12	opponent	opponent	NOUN
ajst-23751	47	13	player	player	NOUN
ajst-23751	47	14	b	b	PROPN
ajst-23751	47	15	in	in	ADP
ajst-23751	47	16	the	the	DET
ajst-23751	47	17	match	match	NOUN
ajst-23751	47	18	.	.	PUNCT
ajst-23751	48	1	through	through	ADP
ajst-23751	48	2	the	the	DET
ajst-23751	48	3	unforced	unforced	ADJ
ajst-23751	48	4	error	error	NOUN
ajst-23751	48	5	rate	rate	NOUN
ajst-23751	48	6	,	,	PUNCT
ajst-23751	48	7	we	we	PRON
ajst-23751	48	8	can	can	AUX
ajst-23751	48	9	see	see	VERB
ajst-23751	48	10	the	the	DET
ajst-23751	48	11	player	player	NOUN
ajst-23751	48	12	's	's	PART
ajst-23751	48	13	game	game	NOUN
ajst-23751	48	14	mentality	mentality	NOUN
ajst-23751	48	15	and	and	CCONJ
ajst-23751	48	16	environment	environment	NOUN
ajst-23751	48	17	,	,	PUNCT
ajst-23751	48	18	and	and	CCONJ
ajst-23751	48	19	the	the	DET
ajst-23751	48	20	player	player	NOUN
ajst-23751	48	21	's	's	PART
ajst-23751	48	22	game	game	NOUN
ajst-23751	48	23	mentality	mentality	NOUN
ajst-23751	48	24	and	and	CCONJ
ajst-23751	48	25	environment	environment	NOUN
ajst-23751	48	26	will	will	AUX
ajst-23751	48	27	affect	affect	VERB
ajst-23751	48	28	the	the	DET
ajst-23751	48	29	player	player	NOUN
ajst-23751	48	30	's	's	PART
ajst-23751	48	31	performance	performance	NOUN
ajst-23751	48	32	,	,	PUNCT
ajst-23751	48	33	and	and	CCONJ
ajst-23751	48	34	the	the	DET
ajst-23751	48	35	mentality	mentality	NOUN
ajst-23751	48	36	and	and	CCONJ
ajst-23751	48	37	environment	environment	NOUN
ajst-23751	48	38	will	will	AUX
ajst-23751	48	39	directly	directly	ADV
ajst-23751	48	40	affect	affect	VERB
ajst-23751	48	41	the	the	DET
ajst-23751	48	42	player	player	NOUN
ajst-23751	48	43	's	's	PART
ajst-23751	48	44	game	game	NOUN
ajst-23751	48	45	performance	performance	NOUN
ajst-23751	48	46	.	.	PUNCT
ajst-23751	49	1	(	(	PUNCT
ajst-23751	49	2	3)average	3)average	NUM
ajst-23751	49	3	serve	serve	VERB
ajst-23751	49	4	speed	speed	NOUN
ajst-23751	49	5	ass	ass	NOUN
ajst-23751	49	6	definition	definition	NOUN
ajst-23751	49	7	:	:	PUNCT
ajst-23751	49	8	the	the	DET
ajst-23751	49	9	average	average	ADJ
ajst-23751	49	10	speed	speed	NOUN
ajst-23751	49	11	at	at	ADP
ajst-23751	49	12	which	which	PRON
ajst-23751	49	13	a	a	DET
ajst-23751	49	14	player	player	NOUN
ajst-23751	49	15	serves	serve	VERB
ajst-23751	49	16	_	_	PUNCT
ajst-23751	50	1	_	_	PUNCT
ajst-23751	50	2	(	(	PUNCT
ajst-23751	50	3	3	3	X
ajst-23751	50	4	)	)	PUNCT
ajst-23751	50	5	235	235	NUM
ajst-23751	50	6	where	where	SCONJ
ajst-23751	50	7	_	_	PRON
ajst-23751	50	8	represents	represent	VERB
ajst-23751	50	9	the	the	DET
ajst-23751	50	10	speed	speed	NOUN
ajst-23751	50	11	of	of	ADP
ajst-23751	50	12	the	the	DET
ajst-23751	50	13	serve	serve	NOUN
ajst-23751	50	14	,	,	PUNCT
ajst-23751	50	15	and	and	CCONJ
ajst-23751	50	16	_	_	NOUN
ajst-23751	50	17	represents	represent	VERB
ajst-23751	50	18	the	the	DET
ajst-23751	50	19	first	first	ADJ
ajst-23751	50	20	or	or	CCONJ
ajst-23751	50	21	second	second	ADJ
ajst-23751	50	22	tee	tee	NOUN
ajst-23751	50	23	.	.	PUNCT
ajst-23751	51	1	a	a	DET
ajst-23751	51	2	fast	fast	ADJ
ajst-23751	51	3	serve	serve	NOUN
ajst-23751	51	4	has	have	VERB
ajst-23751	51	5	a	a	DET
ajst-23751	51	6	speed	speed	NOUN
ajst-23751	51	7	advantage	advantage	NOUN
ajst-23751	51	8	and	and	CCONJ
ajst-23751	51	9	is	be	AUX
ajst-23751	51	10	more	more	ADV
ajst-23751	51	11	likely	likely	ADJ
ajst-23751	51	12	to	to	PART
ajst-23751	51	13	be	be	AUX
ajst-23751	51	14	a	a	DET
ajst-23751	51	15	first	first	ADJ
ajst-23751	51	16	-	-	PUNCT
ajst-23751	51	17	hand	hand	NOUN
ajst-23751	51	18	serve	serve	NOUN
ajst-23751	51	19	,	,	PUNCT
ajst-23751	51	20	which	which	PRON
ajst-23751	51	21	is	be	AUX
ajst-23751	51	22	a	a	DET
ajst-23751	51	23	criterion	criterion	NOUN
ajst-23751	51	24	for	for	ADP
ajst-23751	51	25	evaluating	evaluate	VERB
ajst-23751	51	26	a	a	DET
ajst-23751	51	27	player	player	NOUN
ajst-23751	51	28	's	's	PART
ajst-23751	51	29	performance	performance	NOUN
ajst-23751	51	30	.	.	PUNCT
ajst-23751	52	1	(	(	PUNCT
ajst-23751	52	2	4)physical	4)physical	NUM
ajst-23751	52	3	endurance	endurance	NOUN
ajst-23751	52	4	index	index	NOUN
ajst-23751	52	5	si	si	PROPN
ajst-23751	52	6	definition	definition	NOUN
ajst-23751	52	7	:	:	PUNCT
ajst-23751	52	8	the	the	DET
ajst-23751	52	9	ratio	ratio	NOUN
ajst-23751	52	10	of	of	ADP
ajst-23751	52	11	the	the	DET
ajst-23751	52	12	time	time	NOUN
ajst-23751	52	13	spent	spend	VERB
ajst-23751	52	14	in	in	ADP
ajst-23751	52	15	a	a	DET
ajst-23751	52	16	game	game	NOUN
ajst-23751	52	17	to	to	ADP
ajst-23751	52	18	the	the	DET
ajst-23751	52	19	distance	distance	NOUN
ajst-23751	52	20	traveled	travel	VERB
ajst-23751	52	21	by	by	ADP
ajst-23751	52	22	a	a	DET
ajst-23751	52	23	player	player	NOUN
ajst-23751	52	24	,	,	PUNCT
ajst-23751	52	25	assessing	assess	VERB
ajst-23751	52	26	physical	physical	ADJ
ajst-23751	52	27	fitness	fitness	NOUN
ajst-23751	52	28	and	and	CCONJ
ajst-23751	52	29	endurance	endurance	NOUN
ajst-23751	52	30	.	.	PUNCT
ajst-23751	53	1	(	(	PUNCT
ajst-23751	53	2	4	4	X
ajst-23751	53	3	)	)	PUNCT
ajst-23751	53	4	where	where	SCONJ
ajst-23751	53	5	_	_	PUNCT
ajst-23751	54	1	_	_	PUNCT
ajst-23751	54	2	represents	represent	VERB
ajst-23751	54	3	the	the	DET
ajst-23751	54	4	distance	distance	NOUN
ajst-23751	54	5	that	that	PRON
ajst-23751	54	6	player	player	NOUN
ajst-23751	54	7	a	a	DET
ajst-23751	54	8	runs	run	NOUN
ajst-23751	54	9	at	at	ADP
ajst-23751	54	10	the	the	DET
ajst-23751	54	11	time	time	NOUN
ajst-23751	54	12	of	of	ADP
ajst-23751	54	13	scoring	scoring	NOUN
ajst-23751	54	14	,	,	PUNCT
ajst-23751	54	15	and	and	CCONJ
ajst-23751	54	16	_	_	NOUN
ajst-23751	54	17	represents	represent	VERB
ajst-23751	54	18	the	the	DET
ajst-23751	54	19	time	time	NOUN
ajst-23751	54	20	from	from	ADP
ajst-23751	54	21	the	the	DET
ajst-23751	54	22	start	start	NOUN
ajst-23751	54	23	of	of	ADP
ajst-23751	54	24	the	the	DET
ajst-23751	54	25	first	first	ADJ
ajst-23751	54	26	score	score	NOUN
ajst-23751	54	27	to	to	ADP
ajst-23751	54	28	the	the	DET
ajst-23751	54	29	start	start	NOUN
ajst-23751	54	30	of	of	ADP
ajst-23751	54	31	the	the	DET
ajst-23751	54	32	current	current	ADJ
ajst-23751	54	33	score	score	NOUN
ajst-23751	54	34	.	.	PUNCT
ajst-23751	55	1	fitness	fitness	NOUN
ajst-23751	55	2	and	and	CCONJ
ajst-23751	55	3	stamina	stamina	NOUN
ajst-23751	55	4	affect	affect	VERB
ajst-23751	55	5	the	the	DET
ajst-23751	55	6	form	form	NOUN
ajst-23751	55	7	of	of	ADP
ajst-23751	55	8	the	the	DET
ajst-23751	55	9	players	player	NOUN
ajst-23751	55	10	,	,	PUNCT
ajst-23751	55	11	which	which	PRON
ajst-23751	55	12	in	in	ADP
ajst-23751	55	13	turn	turn	NOUN
ajst-23751	55	14	affects	affect	VERB
ajst-23751	55	15	the	the	DET
ajst-23751	55	16	performance	performance	NOUN
ajst-23751	55	17	of	of	ADP
ajst-23751	55	18	the	the	DET
ajst-23751	55	19	players	player	NOUN
ajst-23751	55	20	.	.	PUNCT
ajst-23751	56	1	(	(	PUNCT
ajst-23751	56	2	5	5	X
ajst-23751	56	3	)	)	PUNCT
ajst-23751	56	4	serving	serve	VERB
ajst-23751	56	5	quality	quality	NOUN
ajst-23751	56	6	index	index	NOUN
ajst-23751	56	7	(	(	PUNCT
ajst-23751	56	8	sqi	sqi	NOUN
ajst-23751	56	9	)	)	PUNCT
ajst-23751	56	10	(	(	PUNCT
ajst-23751	56	11	serve_quality_index	serve_quality_index	NOUN
ajst-23751	56	12	)	)	PUNCT
ajst-23751	56	13	definition	definition	NOUN
ajst-23751	56	14	:	:	PUNCT
ajst-23751	56	15	the	the	DET
ajst-23751	56	16	overall	overall	ADJ
ajst-23751	56	17	quality	quality	NOUN
ajst-23751	56	18	of	of	ADP
ajst-23751	56	19	an	an	DET
ajst-23751	56	20	athlete	athlete	NOUN
ajst-23751	56	21	's	's	PART
ajst-23751	56	22	serve	serve	NOUN
ajst-23751	56	23	.	.	PUNCT
ajst-23751	57	1	(	(	PUNCT
ajst-23751	57	2	5	5	NUM
ajst-23751	57	3	)	)	PUNCT
ajst-23751	57	4	where	where	SCONJ
ajst-23751	57	5	the	the	DET
ajst-23751	57	6	average	average	ADJ
ajst-23751	57	7	serving	serve	VERB
ajst-23751	57	8	speed	speed	NOUN
ajst-23751	57	9	is	be	AUX
ajst-23751	57	10	denoted	denote	VERB
ajst-23751	57	11	and	and	CCONJ
ajst-23751	57	12	the	the	DET
ajst-23751	57	13	serving	serve	VERB
ajst-23751	57	14	scoring	scoring	NOUN
ajst-23751	57	15	rate	rate	NOUN
ajst-23751	57	16	is	be	AUX
ajst-23751	57	17	described	describe	VERB
ajst-23751	57	18	.	.	PUNCT
ajst-23751	58	1	the	the	DET
ajst-23751	58	2	serve	serve	PROPN
ajst-23751	58	3	quality	quality	NOUN
ajst-23751	58	4	index	index	NOUN
ajst-23751	58	5	provides	provide	VERB
ajst-23751	58	6	a	a	DET
ajst-23751	58	7	visual	visual	ADJ
ajst-23751	58	8	indication	indication	NOUN
ajst-23751	58	9	of	of	ADP
ajst-23751	58	10	a	a	DET
ajst-23751	58	11	player	player	NOUN
ajst-23751	58	12	's	's	PART
ajst-23751	58	13	performance	performance	NOUN
ajst-23751	58	14	in	in	ADP
ajst-23751	58	15	the	the	DET
ajst-23751	58	16	game	game	NOUN
ajst-23751	58	17	and	and	CCONJ
ajst-23751	58	18	can	can	AUX
ajst-23751	58	19	be	be	AUX
ajst-23751	58	20	used	use	VERB
ajst-23751	58	21	as	as	ADP
ajst-23751	58	22	an	an	DET
ajst-23751	58	23	indicator	indicator	NOUN
ajst-23751	58	24	to	to	PART
ajst-23751	58	25	measure	measure	VERB
ajst-23751	58	26	a	a	DET
ajst-23751	58	27	player	player	NOUN
ajst-23751	58	28	's	's	PART
ajst-23751	58	29	game	game	NOUN
ajst-23751	58	30	.	.	PUNCT
ajst-23751	59	1	the	the	DET
ajst-23751	59	2	remaining	remain	VERB
ajst-23751	59	3	10	10	NUM
ajst-23751	59	4	characteristic	characteristic	ADJ
ajst-23751	59	5	indicators	indicator	NOUN
ajst-23751	59	6	directly	directly	ADV
ajst-23751	59	7	use	use	VERB
ajst-23751	59	8	the	the	DET
ajst-23751	59	9	data	data	NOUN
ajst-23751	59	10	score	score	NOUN
ajst-23751	59	11	,	,	PUNCT
ajst-23751	59	12	victor	victor	NOUN
ajst-23751	59	13	,	,	PUNCT
ajst-23751	59	14	double_fault	double_fault	PROPN
ajst-23751	59	15	,	,	PUNCT
ajst-23751	59	16	break_pt_missed	break_pt_misse	VERB
ajst-23751	59	17	,	,	PUNCT
ajst-23751	59	18	return_depth	return_depth	NOUN
ajst-23751	59	19	,	,	PUNCT
ajst-23751	59	20	serve_depth	serve_depth	NOUN
ajst-23751	59	21	,	,	PUNCT
ajst-23751	59	22	rally_count	rally_count	PROPN
ajst-23751	59	23	,	,	PUNCT
ajst-23751	59	24	point_no	point_no	PROPN
ajst-23751	59	25	,	,	PUNCT
ajst-23751	59	26	serve_no	serve_no	NOUN
ajst-23751	59	27	,	,	PUNCT
ajst-23751	59	28	and	and	CCONJ
ajst-23751	59	29	point_victor	point_victor	NOUN
ajst-23751	59	30	in	in	ADP
ajst-23751	59	31	the	the	DET
ajst-23751	59	32	original	original	ADJ
ajst-23751	59	33	dataset	dataset	NOUN
ajst-23751	59	34	.	.	PUNCT
ajst-23751	60	1	these	these	DET
ajst-23751	60	2	factors	factor	NOUN
ajst-23751	60	3	are	be	AUX
ajst-23751	60	4	linked	link	VERB
ajst-23751	60	5	,	,	PUNCT
ajst-23751	60	6	but	but	CCONJ
ajst-23751	60	7	not	not	PART
ajst-23751	60	8	all	all	PRON
ajst-23751	60	9	of	of	ADP
ajst-23751	60	10	them	they	PRON
ajst-23751	60	11	have	have	VERB
ajst-23751	60	12	a	a	DET
ajst-23751	60	13	significant	significant	ADJ
ajst-23751	60	14	impact	impact	NOUN
ajst-23751	60	15	on	on	ADP
ajst-23751	60	16	a	a	DET
ajst-23751	60	17	player	player	NOUN
ajst-23751	60	18	's	's	PART
ajst-23751	60	19	performance	performance	NOUN
ajst-23751	60	20	.	.	PUNCT
ajst-23751	61	1	there	there	PRON
ajst-23751	61	2	are	be	VERB
ajst-23751	61	3	too	too	ADV
ajst-23751	61	4	many	many	ADJ
ajst-23751	61	5	indicators	indicator	NOUN
ajst-23751	61	6	of	of	ADP
ajst-23751	61	7	player	player	NOUN
ajst-23751	61	8	characteristics	characteristic	NOUN
ajst-23751	61	9	,	,	PUNCT
ajst-23751	61	10	which	which	PRON
ajst-23751	61	11	will	will	AUX
ajst-23751	61	12	undoubtedly	undoubtedly	ADV
ajst-23751	61	13	increase	increase	VERB
ajst-23751	61	14	the	the	DET
ajst-23751	61	15	difficulty	difficulty	NOUN
ajst-23751	61	16	and	and	CCONJ
ajst-23751	61	17	complexity	complexity	NOUN
ajst-23751	61	18	of	of	ADP
ajst-23751	61	19	the	the	DET
ajst-23751	61	20	analysis	analysis	NOUN
ajst-23751	61	21	problem	problem	NOUN
ajst-23751	61	22	,	,	PUNCT
ajst-23751	61	23	and	and	CCONJ
ajst-23751	61	24	there	there	PRON
ajst-23751	61	25	may	may	AUX
ajst-23751	61	26	be	be	AUX
ajst-23751	61	27	a	a	DET
ajst-23751	61	28	certain	certain	ADJ
ajst-23751	61	29	correlation	correlation	NOUN
ajst-23751	61	30	between	between	ADP
ajst-23751	61	31	these	these	DET
ajst-23751	61	32	multiple	multiple	ADJ
ajst-23751	61	33	indicators	indicator	NOUN
ajst-23751	61	34	.	.	PUNCT
ajst-23751	62	1	this	this	PRON
ajst-23751	62	2	is	be	AUX
ajst-23751	62	3	where	where	SCONJ
ajst-23751	62	4	principal	principal	ADJ
ajst-23751	62	5	component	component	NOUN
ajst-23751	62	6	analysis	analysis	NOUN
ajst-23751	62	7	can	can	AUX
ajst-23751	62	8	be	be	AUX
ajst-23751	62	9	used	use	VERB
ajst-23751	62	10	to	to	PART
ajst-23751	62	11	identify	identify	VERB
ajst-23751	62	12	salient	salient	ADJ
ajst-23751	62	13	indicators	indicator	NOUN
ajst-23751	62	14	that	that	PRON
ajst-23751	62	15	reflect	reflect	VERB
ajst-23751	62	16	a	a	DET
ajst-23751	62	17	player	player	NOUN
ajst-23751	62	18	's	's	PART
ajst-23751	62	19	performance	performance	NOUN
ajst-23751	62	20	.	.	PUNCT
ajst-23751	63	1	the	the	DET
ajst-23751	63	2	pca	pca	PROPN
ajst-23751	63	3	calculation	calculation	NOUN
ajst-23751	63	4	steps	step	NOUN
ajst-23751	63	5	are	be	AUX
ajst-23751	63	6	as	as	SCONJ
ajst-23751	63	7	follows	follow	VERB
ajst-23751	63	8	:	:	PUNCT
ajst-23751	63	9	calculate	calculate	VERB
ajst-23751	63	10	the	the	DET
ajst-23751	63	11	correlation	correlation	NOUN
ajst-23751	63	12	coefficient	coefficient	NOUN
ajst-23751	63	13	matrix	matrix	NOUN
ajst-23751	63	14	.	.	PUNCT
ajst-23751	64	1	⋯	⋯	PROPN
ajst-23751	64	2	⋯	⋯	PROPN
ajst-23751	64	3	⋯	⋯	PROPN
ajst-23751	64	4	(	(	PUNCT
ajst-23751	64	5	6	6	NUM
ajst-23751	64	6	)	)	PUNCT
ajst-23751	64	7	in	in	ADP
ajst-23751	64	8	the	the	DET
ajst-23751	64	9	formula	formula	NOUN
ajst-23751	64	10	,	,	PUNCT
ajst-23751	64	11	i	i	PRON
ajst-23751	64	12	,	,	PUNCT
ajst-23751	64	13	j	j	PROPN
ajst-23751	64	14	1,2,⋯	1,2,⋯	PROPN
ajst-23751	64	15	,	,	PUNCT
ajst-23751	64	16	p	p	PROPN
ajst-23751	64	17	is	be	AUX
ajst-23751	64	18	the	the	DET
ajst-23751	64	19	correlation	correlation	NOUN
ajst-23751	64	20	coefficient	coefficient	NOUN
ajst-23751	64	21	between	between	ADP
ajst-23751	64	22	the	the	DET
ajst-23751	64	23	original	original	ADJ
ajst-23751	64	24	variable	variable	NOUN
ajst-23751	64	25	and	and	CCONJ
ajst-23751	64	26	,	,	PUNCT
ajst-23751	64	27	and	and	CCONJ
ajst-23751	64	28	its	its	PRON
ajst-23751	64	29	calculation	calculation	NOUN
ajst-23751	64	30	formula	formula	NOUN
ajst-23751	64	31	is	be	AUX
ajst-23751	64	32	:	:	PUNCT
ajst-23751	64	33	∑	∑	PART
ajst-23751	64	34	  	  	SPACE
ajst-23751	64	35	¯	¯	PUNCT
ajst-23751	64	36	¯	¯	ADJ
ajst-23751	64	37	∑	∑	ADP
ajst-23751	64	38	  	  	SPACE
ajst-23751	64	39	¯	¯	PROPN
ajst-23751	64	40	∑	∑	ADV
ajst-23751	64	41	¯	¯	X
ajst-23751	64	42	(	(	PUNCT
ajst-23751	64	43	7	7	NUM
ajst-23751	64	44	)	)	PUNCT
ajst-23751	64	45	because	because	SCONJ
ajst-23751	64	46	is	be	AUX
ajst-23751	64	47	a	a	DET
ajst-23751	64	48	real	real	ADJ
ajst-23751	64	49	symmetric	symmetric	ADJ
ajst-23751	64	50	matrix	matrix	NOUN
ajst-23751	64	51	(	(	PUNCT
ajst-23751	64	52	i.e.	i.e.	X
ajst-23751	64	53	,	,	PUNCT
ajst-23751	64	54	)	)	PUNCT
ajst-23751	64	55	,	,	PUNCT
ajst-23751	64	56	only	only	ADV
ajst-23751	64	57	its	its	PRON
ajst-23751	64	58	upper	upper	ADJ
ajst-23751	64	59	or	or	CCONJ
ajst-23751	64	60	lower	low	ADJ
ajst-23751	64	61	trigonometric	trigonometric	ADJ
ajst-23751	64	62	elements	element	NOUN
ajst-23751	64	63	need	need	VERB
ajst-23751	64	64	to	to	PART
ajst-23751	64	65	be	be	AUX
ajst-23751	64	66	calculated	calculate	VERB
ajst-23751	64	67	.	.	PUNCT
ajst-23751	65	1	vegetarian	vegetarian	NOUN
ajst-23751	65	2	is	be	AUX
ajst-23751	65	3	sufficient	sufficient	ADJ
ajst-23751	65	4	.	.	PUNCT
ajst-23751	66	1	to	to	PART
ajst-23751	66	2	normalize	normalize	VERB
ajst-23751	66	3	the	the	DET
ajst-23751	66	4	original	original	ADJ
ajst-23751	66	5	data	datum	NOUN
ajst-23751	66	6	,	,	PUNCT
ajst-23751	66	7	firstly	firstly	ADV
ajst-23751	66	8	,	,	PUNCT
ajst-23751	66	9	the	the	DET
ajst-23751	66	10	original	original	ADJ
ajst-23751	66	11	data	datum	NOUN
ajst-23751	66	12	is	be	AUX
ajst-23751	66	13	standardized	standardize	VERB
ajst-23751	66	14	,	,	PUNCT
ajst-23751	66	15	and	and	CCONJ
ajst-23751	66	16	the	the	DET
ajst-23751	66	17	correlation	correlation	NOUN
ajst-23751	66	18	coefficient	coefficient	NOUN
ajst-23751	66	19	matrix	matrix	NOUN
ajst-23751	66	20	is	be	AUX
ajst-23751	66	21	calculated	calculate	VERB
ajst-23751	66	22	by	by	ADP
ajst-23751	66	23	the	the	DET
ajst-23751	66	24	formula	formula	NOUN
ajst-23751	66	25	(	(	PUNCT
ajst-23751	66	26	4	4	NUM
ajst-23751	66	27	-	-	SYM
ajst-23751	66	28	7	7	NUM
ajst-23751	66	29	)	)	PUNCT
ajst-23751	66	30	.	.	PUNCT
ajst-23751	67	1	calculation	calculation	NOUN
ajst-23751	67	2	of	of	ADP
ajst-23751	67	3	eigenvalues	eigenvalue	NOUN
ajst-23751	67	4	and	and	CCONJ
ajst-23751	67	5	eigenvectors	eigenvector	NOUN
ajst-23751	67	6	.	.	PUNCT
ajst-23751	68	1	first	first	ADV
ajst-23751	68	2	,	,	PUNCT
ajst-23751	68	3	the	the	DET
ajst-23751	68	4	eigenvalue	eigenvalue	PROPN
ajst-23751	68	5	|	|	NOUN
ajst-23751	68	6	|	|	ADV
ajst-23751	68	7	0	0	NUM
ajst-23751	68	8	is	be	AUX
ajst-23751	68	9	solved	solve	VERB
ajst-23751	68	10	to	to	PART
ajst-23751	68	11	find	find	VERB
ajst-23751	68	12	the	the	DET
ajst-23751	68	13	eigenvalue	eigenvalue	PROPN
ajst-23751	68	14	i	i	PRON
ajst-23751	68	15	1,2,⋯	1,2,⋯	NUM
ajst-23751	68	16	,	,	PUNCT
ajst-23751	68	17	and	and	CCONJ
ajst-23751	68	18	arrange	arrange	VERB
ajst-23751	68	19	it	it	PRON
ajst-23751	68	20	in	in	ADP
ajst-23751	68	21	order	order	NOUN
ajst-23751	68	22	of	of	ADP
ajst-23751	68	23	magnity	magnity	NOUN
ajst-23751	68	24	,	,	PUNCT
ajst-23751	68	25	i.e.	i.e.	X
ajst-23751	68	26	,	,	PUNCT
ajst-23751	68	27	⋯	⋯	NOUN
ajst-23751	68	28	,	,	PUNCT
ajst-23751	68	29	0	0	NUM
ajst-23751	68	30	,	,	PUNCT
ajst-23751	68	31	and	and	CCONJ
ajst-23751	68	32	then	then	ADV
ajst-23751	68	33	the	the	DET
ajst-23751	68	34	eigenvector	eigenvector	NOUN
ajst-23751	68	35	corresponding	correspond	VERB
ajst-23751	68	36	to	to	ADP
ajst-23751	68	37	the	the	DET
ajst-23751	68	38	eigenvalue	eigenvalue	PROPN
ajst-23751	68	39	i	i	PRON
ajst-23751	68	40	1,2,⋯	1,2,⋯	NUM
ajst-23751	68	41	,	,	PUNCT
ajst-23751	68	42	is	be	AUX
ajst-23751	68	43	obtained	obtain	VERB
ajst-23751	68	44	respectively	respectively	ADV
ajst-23751	68	45	.	.	PUNCT
ajst-23751	69	1	the	the	DET
ajst-23751	69	2	correlation	correlation	NOUN
ajst-23751	69	3	coefficient	coefficient	NOUN
ajst-23751	69	4	matrix	matrix	NOUN
ajst-23751	69	5	calculates	calculate	VERB
ajst-23751	69	6	the	the	DET
ajst-23751	69	7	eigenvalues	eigenvalue	NOUN
ajst-23751	69	8	,	,	PUNCT
ajst-23751	69	9	as	as	ADV
ajst-23751	69	10	well	well	ADV
ajst-23751	69	11	as	as	ADP
ajst-23751	69	12	the	the	DET
ajst-23751	69	13	contribution	contribution	NOUN
ajst-23751	69	14	rate	rate	NOUN
ajst-23751	69	15	and	and	CCONJ
ajst-23751	69	16	cumulative	cumulative	ADJ
ajst-23751	69	17	contribution	contribution	NOUN
ajst-23751	69	18	rate	rate	NOUN
ajst-23751	69	19	of	of	ADP
ajst-23751	69	20	each	each	DET
ajst-23751	69	21	principal	principal	ADJ
ajst-23751	69	22	component	component	NOUN
ajst-23751	69	23	.	.	PUNCT
ajst-23751	70	1	as	as	SCONJ
ajst-23751	70	2	can	can	AUX
ajst-23751	70	3	be	be	AUX
ajst-23751	70	4	seen	see	VERB
ajst-23751	70	5	from	from	ADP
ajst-23751	70	6	table	table	NOUN
ajst-23751	70	7	1	1	NUM
ajst-23751	70	8	,	,	PUNCT
ajst-23751	70	9	the	the	DET
ajst-23751	70	10	cumulative	cumulative	ADJ
ajst-23751	70	11	contribution	contribution	NOUN
ajst-23751	70	12	rate	rate	NOUN
ajst-23751	70	13	of	of	ADP
ajst-23751	70	14	the	the	DET
ajst-23751	70	15	first	first	ADJ
ajst-23751	70	16	and	and	CCONJ
ajst-23751	70	17	second	second	ADJ
ajst-23751	70	18	principal	principal	ADJ
ajst-23751	70	19	components	component	NOUN
ajst-23751	70	20	is	be	AUX
ajst-23751	70	21	as	as	ADV
ajst-23751	70	22	high	high	ADJ
ajst-23751	70	23	as	as	ADP
ajst-23751	70	24	80.62	80.62	NUM
ajst-23751	70	25	%	%	NOUN
ajst-23751	70	26	,	,	PUNCT
ajst-23751	70	27	so	so	CCONJ
ajst-23751	70	28	only	only	ADV
ajst-23751	70	29	the	the	DET
ajst-23751	70	30	first	first	ADJ
ajst-23751	70	31	and	and	CCONJ
ajst-23751	70	32	second	second	ADJ
ajst-23751	70	33	principal	principal	ADJ
ajst-23751	70	34	components	component	NOUN
ajst-23751	70	35	z	z	NOUN
ajst-23751	70	36	,	,	PUNCT
ajst-23751	70	37	z	z	PROPN
ajst-23751	70	38	are	be	AUX
ajst-23751	70	39	required	require	VERB
ajst-23751	70	40	.	.	PUNCT
ajst-23751	71	1	formula	formula	NOUN
ajst-23751	71	2	for	for	ADP
ajst-23751	71	3	calculating	calculate	VERB
ajst-23751	71	4	principal	principal	ADJ
ajst-23751	71	5	component	component	NOUN
ajst-23751	71	6	contribution	contribution	NOUN
ajst-23751	71	7	rate	rate	NOUN
ajst-23751	71	8	and	and	CCONJ
ajst-23751	71	9	cumulative	cumulative	ADJ
ajst-23751	71	10	contribution	contribution	NOUN
ajst-23751	71	11	rate	rate	NOUN
ajst-23751	71	12	:	:	PUNCT
ajst-23751	71	13	principal	principal	ADJ
ajst-23751	71	14	component	component	NOUN
ajst-23751	71	15	z	z	PROPN
ajst-23751	71	16	contribution	contribution	NOUN
ajst-23751	71	17	rate	rate	NOUN
ajst-23751	71	18	:	:	PUNCT
ajst-23751	71	19	r	r	NOUN
ajst-23751	71	20	/	/	SYM
ajst-23751	71	21	∑	∑	PROPN
ajst-23751	71	22	γ	γ	X
ajst-23751	71	23	i	i	PRON
ajst-23751	71	24	1,2,⋯	1,2,⋯	NUM
ajst-23751	71	25	,	,	PUNCT
ajst-23751	71	26	p	p	NOUN
ajst-23751	71	27	cumulative	cumulative	ADJ
ajst-23751	71	28	contribution	contribution	NOUN
ajst-23751	71	29	rate	rate	NOUN
ajst-23751	71	30	:	:	PUNCT
ajst-23751	71	31	∑	∑	PUNCT
ajst-23751	71	32	γ	γ	X
ajst-23751	71	33	/∑	/∑	SYM
ajst-23751	71	34	γ	γ	X
ajst-23751	71	35	.	.	PUNCT
ajst-23751	71	36	table	table	NOUN
ajst-23751	71	37	1	1	NUM
ajst-23751	71	38	.	.	PUNCT
ajst-23751	72	1	eigenvalues	eigenvalue	NOUN
ajst-23751	72	2	and	and	CCONJ
ajst-23751	72	3	principal	principal	ADJ
ajst-23751	72	4	component	component	NOUN
ajst-23751	72	5	contribution	contribution	NOUN
ajst-23751	72	6	rates	rate	NOUN
ajst-23751	72	7	principal	principal	ADJ
ajst-23751	72	8	component	component	NOUN
ajst-23751	72	9	eigenvalue	eigenvalue	NOUN
ajst-23751	72	10	variance	variance	NOUN
ajst-23751	72	11	contribution	contribution	NOUN
ajst-23751	72	12	value	value	NOUN
ajst-23751	72	13	cumulative	cumulative	ADJ
ajst-23751	72	14	contribution	contribution	NOUN
ajst-23751	72	15	value	value	NOUN
ajst-23751	72	16	1	1	NUM
ajst-23751	72	17	11.24	11.24	NUM
ajst-23751	72	18	61.53	61.53	NUM
ajst-23751	72	19	64.89	64.89	NUM
ajst-23751	72	20	2	2	NUM
ajst-23751	72	21	5.32	5.32	NUM
ajst-23751	72	22	23.11	23.11	NUM
ajst-23751	72	23	80.62	80.62	NUM
ajst-23751	72	24	3	3	NUM
ajst-23751	72	25	2.11	2.11	NUM
ajst-23751	72	26	9.01	9.01	NUM
ajst-23751	72	27	90.62	90.62	NUM
ajst-23751	72	28	4	4	NUM
ajst-23751	72	29	1.25	1.25	NUM
ajst-23751	72	30	2.64	2.64	NUM
ajst-23751	72	31	85.25	85.25	NUM
ajst-23751	72	32	5	5	NUM
ajst-23751	72	33	0.94	0.94	NUM
ajst-23751	72	34	2.12	2.12	NUM
ajst-23751	72	35	88.08	88.08	NUM
ajst-23751	72	36	6	6	NUM
ajst-23751	72	37	0.65	0.65	NUM
ajst-23751	72	38	1.17	1.17	NUM
ajst-23751	72	39	90.45	90.45	NUM
ajst-23751	72	40	7	7	NUM
ajst-23751	72	41	0.24	0.24	NUM
ajst-23751	72	42	0.23	0.23	NUM
ajst-23751	72	43	81.68	81.68	NUM
ajst-23751	72	44	8	8	NUM
ajst-23751	72	45	0.15	0.15	NUM
ajst-23751	72	46	0.14	0.14	NUM
ajst-23751	72	47	87.41	87.41	NUM
ajst-23751	72	48	9	9	NUM
ajst-23751	72	49	0.07	0.07	NUM
ajst-23751	72	50	0.05	0.05	NUM
ajst-23751	72	51	79.98	79.98	NUM
ajst-23751	72	52	10	10	NUM
ajst-23751	72	53	0.02	0.02	NUM
ajst-23751	72	54	0.01	0.01	NUM
ajst-23751	72	55	82.27	82.27	NUM
ajst-23751	72	56	the	the	DET
ajst-23751	72	57	contribution	contribution	NOUN
ajst-23751	72	58	values	value	NOUN
ajst-23751	72	59	and	and	CCONJ
ajst-23751	72	60	cumulative	cumulative	ADJ
ajst-23751	72	61	contribution	contribution	NOUN
ajst-23751	72	62	values	value	NOUN
ajst-23751	72	63	are	be	AUX
ajst-23751	72	64	visualised	visualise	VERB
ajst-23751	72	65	in	in	ADP
ajst-23751	72	66	figures	figure	NOUN
ajst-23751	72	67	5	5	NUM
ajst-23751	72	68	and	and	CCONJ
ajst-23751	72	69	6	6	NUM
ajst-23751	72	70	:	:	PUNCT
ajst-23751	72	71	figure	figure	NOUN
ajst-23751	72	72	5	5	NUM
ajst-23751	72	73	.	.	NOUN
ajst-23751	72	74	variance	variance	NOUN
ajst-23751	72	75	contribution	contribution	NOUN
ajst-23751	72	76	value	value	NOUN
ajst-23751	72	77	figure	figure	NOUN
ajst-23751	72	78	6	6	NUM
ajst-23751	72	79	.	.	PUNCT
ajst-23751	72	80	cumulative	cumulative	ADJ
ajst-23751	72	81	contribution	contribution	NOUN
ajst-23751	72	82	value	value	NOUN
ajst-23751	72	83	236	236	NUM
ajst-23751	72	84	the	the	DET
ajst-23751	72	85	variance	variance	NOUN
ajst-23751	72	86	contribution	contribution	NOUN
ajst-23751	72	87	histogram	histogram	NOUN
ajst-23751	72	88	shows	show	VERB
ajst-23751	72	89	that	that	SCONJ
ajst-23751	72	90	principal	principal	ADJ
ajst-23751	72	91	component	component	NOUN
ajst-23751	72	92	1	1	NUM
ajst-23751	72	93	contains	contain	VERB
ajst-23751	72	94	a	a	DET
ajst-23751	72	95	lot	lot	NOUN
ajst-23751	72	96	of	of	ADP
ajst-23751	72	97	information	information	NOUN
ajst-23751	72	98	about	about	ADP
ajst-23751	72	99	the	the	DET
ajst-23751	72	100	characteristics	characteristic	NOUN
ajst-23751	72	101	of	of	ADP
ajst-23751	72	102	the	the	DET
ajst-23751	72	103	performance	performance	NOUN
ajst-23751	72	104	players	player	NOUN
ajst-23751	72	105	,	,	PUNCT
ajst-23751	72	106	and	and	CCONJ
ajst-23751	72	107	the	the	DET
ajst-23751	72	108	cumulative	cumulative	ADJ
ajst-23751	72	109	contribution	contribution	NOUN
ajst-23751	72	110	value	value	NOUN
ajst-23751	72	111	histogram	histogram	NOUN
ajst-23751	72	112	shows	show	VERB
ajst-23751	72	113	that	that	SCONJ
ajst-23751	72	114	most	most	ADJ
ajst-23751	72	115	of	of	ADP
ajst-23751	72	116	them	they	PRON
ajst-23751	72	117	are	be	AUX
ajst-23751	72	118	greater	great	ADJ
ajst-23751	72	119	than	than	ADP
ajst-23751	72	120	80	80	NUM
ajst-23751	72	121	%	%	NOUN
ajst-23751	72	122	,	,	PUNCT
ajst-23751	72	123	indicating	indicate	VERB
ajst-23751	72	124	that	that	SCONJ
ajst-23751	72	125	most	most	ADJ
ajst-23751	72	126	of	of	ADP
ajst-23751	72	127	the	the	DET
ajst-23751	72	128	principal	principal	ADJ
ajst-23751	72	129	components	component	NOUN
ajst-23751	72	130	are	be	AUX
ajst-23751	72	131	sufficient	sufficient	ADJ
ajst-23751	72	132	to	to	PART
ajst-23751	72	133	represent	represent	VERB
ajst-23751	72	134	the	the	DET
ajst-23751	72	135	characteristics	characteristic	NOUN
ajst-23751	72	136	of	of	ADP
ajst-23751	72	137	the	the	DET
ajst-23751	72	138	players	player	NOUN
ajst-23751	72	139	.	.	PUNCT
ajst-23751	73	1	2.1.3	2.1.3	X
ajst-23751	73	2	.	.	PUNCT
ajst-23751	73	3	random	random	ADJ
ajst-23751	73	4	forest	forest	NOUN
ajst-23751	73	5	prediction	prediction	NOUN
ajst-23751	73	6	model	model	NOUN
ajst-23751	73	7	based	base	VERB
ajst-23751	73	8	on	on	ADP
ajst-23751	73	9	principal	principal	ADJ
ajst-23751	73	10	component	component	NOUN
ajst-23751	73	11	analysis	analysis	NOUN
ajst-23751	73	12	random	random	ADJ
ajst-23751	73	13	forest	forest	NOUN
ajst-23751	73	14	model	model	NOUN
ajst-23751	73	15	is	be	AUX
ajst-23751	73	16	an	an	DET
ajst-23751	73	17	integrated	integrate	VERB
ajst-23751	73	18	learning	learning	NOUN
ajst-23751	73	19	algorithm	algorithm	NOUN
ajst-23751	73	20	based	base	VERB
ajst-23751	73	21	on	on	ADP
ajst-23751	73	22	decision	decision	NOUN
ajst-23751	73	23	trees	tree	NOUN
ajst-23751	73	24	[	[	X
ajst-23751	73	25	5	5	NUM
ajst-23751	73	26	]	]	PUNCT
ajst-23751	73	27	.	.	PUNCT
ajst-23751	74	1	compared	compare	VERB
ajst-23751	74	2	to	to	ADP
ajst-23751	74	3	single	single	ADJ
ajst-23751	74	4	decision	decision	NOUN
ajst-23751	74	5	trees	tree	NOUN
ajst-23751	74	6	and	and	CCONJ
ajst-23751	74	7	traditional	traditional	ADJ
ajst-23751	74	8	neural	neural	ADJ
ajst-23751	74	9	network	network	NOUN
ajst-23751	74	10	algorithms	algorithm	NOUN
ajst-23751	74	11	,	,	PUNCT
ajst-23751	74	12	the	the	DET
ajst-23751	74	13	random	random	ADJ
ajst-23751	74	14	forest	forest	NOUN
ajst-23751	74	15	model	model	NOUN
ajst-23751	74	16	has	have	VERB
ajst-23751	74	17	the	the	DET
ajst-23751	74	18	advantages	advantage	NOUN
ajst-23751	74	19	of	of	ADP
ajst-23751	74	20	strong	strong	ADJ
ajst-23751	74	21	interpretability	interpretability	NOUN
ajst-23751	74	22	,	,	PUNCT
ajst-23751	74	23	high	high	ADJ
ajst-23751	74	24	computational	computational	ADJ
ajst-23751	74	25	efficiency	efficiency	NOUN
ajst-23751	74	26	and	and	CCONJ
ajst-23751	74	27	strong	strong	ADJ
ajst-23751	74	28	classification	classification	NOUN
ajst-23751	74	29	and	and	CCONJ
ajst-23751	74	30	regression	regression	NOUN
ajst-23751	74	31	performance	performance	NOUN
ajst-23751	74	32	.	.	PUNCT
ajst-23751	75	1	random	random	ADJ
ajst-23751	75	2	forests	forest	NOUN
ajst-23751	75	3	are	be	AUX
ajst-23751	75	4	inherently	inherently	ADV
ajst-23751	75	5	suited	suited	ADJ
ajst-23751	75	6	to	to	PART
ajst-23751	75	7	handle	handle	VERB
ajst-23751	75	8	high	high	ADJ
ajst-23751	75	9	-	-	PUNCT
ajst-23751	75	10	dimensional	dimensional	ADJ
ajst-23751	75	11	datasets	dataset	NOUN
ajst-23751	75	12	.	.	PUNCT
ajst-23751	76	1	although	although	SCONJ
ajst-23751	76	2	pca	pca	NOUN
ajst-23751	76	3	dimensionality	dimensionality	NOUN
ajst-23751	76	4	reduction	reduction	NOUN
ajst-23751	76	5	helps	help	VERB
ajst-23751	76	6	to	to	PART
ajst-23751	76	7	reduce	reduce	VERB
ajst-23751	76	8	the	the	DET
ajst-23751	76	9	number	number	NOUN
ajst-23751	76	10	of	of	ADP
ajst-23751	76	11	features	feature	NOUN
ajst-23751	76	12	and	and	CCONJ
ajst-23751	76	13	mitigate	mitigate	VERB
ajst-23751	76	14	the	the	DET
ajst-23751	76	15	effects	effect	NOUN
ajst-23751	76	16	of	of	ADP
ajst-23751	76	17	dimensionality	dimensionality	NOUN
ajst-23751	76	18	catastrophe	catastrophe	NOUN
ajst-23751	76	19	,	,	PUNCT
ajst-23751	76	20	even	even	ADV
ajst-23751	76	21	after	after	ADP
ajst-23751	76	22	dimensionality	dimensionality	NOUN
ajst-23751	76	23	reduction	reduction	NOUN
ajst-23751	76	24	,	,	PUNCT
ajst-23751	76	25	the	the	DET
ajst-23751	76	26	dataset	dataset	NOUN
ajst-23751	76	27	may	may	AUX
ajst-23751	76	28	still	still	ADV
ajst-23751	76	29	retain	retain	VERB
ajst-23751	76	30	complex	complex	ADJ
ajst-23751	76	31	structures	structure	NOUN
ajst-23751	76	32	and	and	CCONJ
ajst-23751	76	33	relationships	relationship	NOUN
ajst-23751	76	34	.	.	PUNCT
ajst-23751	77	1	random	random	ADJ
ajst-23751	77	2	forests	forest	NOUN
ajst-23751	77	3	can	can	AUX
ajst-23751	77	4	effectively	effectively	ADV
ajst-23751	77	5	capture	capture	VERB
ajst-23751	77	6	and	and	CCONJ
ajst-23751	77	7	model	model	VERB
ajst-23751	77	8	these	these	DET
ajst-23751	77	9	complex	complex	ADJ
ajst-23751	77	10	nonlinear	nonlinear	ADJ
ajst-23751	77	11	relationships	relationship	NOUN
ajst-23751	77	12	,	,	PUNCT
ajst-23751	77	13	which	which	PRON
ajst-23751	77	14	are	be	AUX
ajst-23751	77	15	important	important	ADJ
ajst-23751	77	16	for	for	ADP
ajst-23751	77	17	predicting	predict	VERB
ajst-23751	77	18	a	a	DET
ajst-23751	77	19	player	player	NOUN
ajst-23751	77	20	's	's	PART
ajst-23751	77	21	win	win	NOUN
ajst-23751	77	22	rate	rate	NOUN
ajst-23751	77	23	per	per	ADP
ajst-23751	77	24	game	game	NOUN
ajst-23751	77	25	.	.	PUNCT
ajst-23751	78	1	after	after	ADP
ajst-23751	78	2	completing	complete	VERB
ajst-23751	78	3	data	datum	NOUN
ajst-23751	78	4	preprocessing	preprocessing	NOUN
ajst-23751	78	5	and	and	CCONJ
ajst-23751	78	6	feature	feature	NOUN
ajst-23751	78	7	extraction	extraction	NOUN
ajst-23751	78	8	and	and	CCONJ
ajst-23751	78	9	cpa	cpa	NOUN
ajst-23751	78	10	on	on	ADP
ajst-23751	78	11	the	the	DET
ajst-23751	78	12	15	15	NUM
ajst-23751	78	13	indicator	indicator	NOUN
ajst-23751	78	14	prediction	prediction	NOUN
ajst-23751	78	15	datasets	dataset	NOUN
ajst-23751	78	16	,	,	PUNCT
ajst-23751	78	17	the	the	DET
ajst-23751	78	18	construction	construction	NOUN
ajst-23751	78	19	of	of	ADP
ajst-23751	78	20	the	the	DET
ajst-23751	78	21	random	random	ADJ
ajst-23751	78	22	forest	forest	NOUN
ajst-23751	78	23	model	model	NOUN
ajst-23751	78	24	was	be	AUX
ajst-23751	78	25	started	start	VERB
ajst-23751	78	26	with	with	ADP
ajst-23751	78	27	the	the	DET
ajst-23751	78	28	dimensionality	dimensionality	NOUN
ajst-23751	78	29	reduced	reduce	VERB
ajst-23751	78	30	feature	feature	NOUN
ajst-23751	78	31	matrix	matrix	NOUN
ajst-23751	78	32	x	x	PUNCT
ajst-23751	78	33	as	as	ADP
ajst-23751	78	34	the	the	DET
ajst-23751	78	35	input	input	NOUN
ajst-23751	78	36	data	datum	NOUN
ajst-23751	78	37	.	.	PUNCT
ajst-23751	79	1	step	step	NOUN
ajst-23751	79	2	1	1	NUM
ajst-23751	79	3	select	select	ADJ
ajst-23751	79	4	matlab	matlab	NOUN
ajst-23751	79	5	as	as	ADP
ajst-23751	79	6	the	the	DET
ajst-23751	79	7	development	development	NOUN
ajst-23751	79	8	model	model	NOUN
ajst-23751	79	9	for	for	ADP
ajst-23751	79	10	predictive	predictive	ADJ
ajst-23751	79	11	modeling	modeling	NOUN
ajst-23751	79	12	.	.	PUNCT
ajst-23751	80	1	step	step	NOUN
ajst-23751	80	2	2	2	NUM
ajst-23751	80	3	in	in	ADP
ajst-23751	80	4	the	the	DET
ajst-23751	80	5	random	random	ADJ
ajst-23751	80	6	forest	forest	NOUN
ajst-23751	80	7	model	model	NOUN
ajst-23751	80	8	in	in	ADP
ajst-23751	80	9	this	this	DET
ajst-23751	80	10	paper	paper	NOUN
ajst-23751	80	11	,	,	PUNCT
ajst-23751	80	12	the	the	DET
ajst-23751	80	13	impurity	impurity	NOUN
ajst-23751	80	14	weighting	weighting	NOUN
ajst-23751	80	15	and	and	CCONJ
ajst-23751	80	16	x	x	NOUN
ajst-23751	80	17	,	,	PUNCT
ajst-23751	80	18	v	v	NOUN
ajst-23751	80	19	of	of	ADP
ajst-23751	80	20	each	each	DET
ajst-23751	80	21	subnode	subnode	NOUN
ajst-23751	80	22	are	be	AUX
ajst-23751	80	23	used	use	VERB
ajst-23751	80	24	to	to	PART
ajst-23751	80	25	evaluate	evaluate	VERB
ajst-23751	80	26	the	the	DET
ajst-23751	80	27	quality	quality	NOUN
ajst-23751	80	28	of	of	ADP
ajst-23751	80	29	the	the	DET
ajst-23751	80	30	sharding	sharding	NOUN
ajst-23751	80	31	features	feature	NOUN
ajst-23751	80	32	and	and	CCONJ
ajst-23751	80	33	sharding	sharding	NOUN
ajst-23751	80	34	points	point	NOUN
ajst-23751	80	35	.	.	PUNCT
ajst-23751	81	1	the	the	DET
ajst-23751	81	2	calculation	calculation	NOUN
ajst-23751	81	3	formula	formula	NOUN
ajst-23751	81	4	is	be	AUX
ajst-23751	81	5	shown	show	VERB
ajst-23751	81	6	below	below	ADP
ajst-23751	81	7	.	.	PUNCT
ajst-23751	82	1	,	,	PUNCT
ajst-23751	82	2	∑	∑	PUNCT
ajst-23751	82	3	‾	‾	PROPN
ajst-23751	82	4	∑	∑	PROPN
ajst-23751	82	5	‾	‾	PROPN
ajst-23751	82	6	(	(	PUNCT
ajst-23751	82	7	8)	8)	NUM
ajst-23751	82	8	where	where	SCONJ
ajst-23751	82	9	is	be	AUX
ajst-23751	82	10	the	the	DET
ajst-23751	82	11	ith	ith	PROPN
ajst-23751	82	12	segmentation	segmentation	NOUN
ajst-23751	82	13	variable	variable	NOUN
ajst-23751	82	14	;	;	PUNCT
ajst-23751	82	15	is	be	AUX
ajst-23751	82	16	the	the	DET
ajst-23751	82	17	segmentation	segmentation	NOUN
ajst-23751	82	18	value	value	NOUN
ajst-23751	82	19	of	of	ADP
ajst-23751	82	20	the	the	DET
ajst-23751	82	21	segmentation	segmentation	NOUN
ajst-23751	82	22	variable	variable	NOUN
ajst-23751	82	23	;	;	PUNCT
ajst-23751	82	24	,	,	PUNCT
ajst-23751	82	25	,	,	PUNCT
ajst-23751	82	26	and	and	CCONJ
ajst-23751	82	27	represent	represent	VERB
ajst-23751	82	28	the	the	DET
ajst-23751	82	29	number	number	NOUN
ajst-23751	82	30	of	of	ADP
ajst-23751	82	31	training	training	NOUN
ajst-23751	82	32	samples	sample	NOUN
ajst-23751	82	33	of	of	ADP
ajst-23751	82	34	the	the	DET
ajst-23751	82	35	left	left	ADJ
ajst-23751	82	36	sub	sub	NOUN
ajst-23751	82	37	-	-	NOUN
ajst-23751	82	38	node	node	ADJ
ajst-23751	82	39	,	,	PUNCT
ajst-23751	82	40	the	the	DET
ajst-23751	82	41	right	right	ADJ
ajst-23751	82	42	sub	sub	NOUN
ajst-23751	82	43	-	-	NOUN
ajst-23751	82	44	node	node	ADJ
ajst-23751	82	45	,	,	PUNCT
ajst-23751	82	46	and	and	CCONJ
ajst-23751	82	47	the	the	DET
ajst-23751	82	48	current	current	ADJ
ajst-23751	82	49	node	node	NOUN
ajst-23751	82	50	,	,	PUNCT
ajst-23751	82	51	respectively	respectively	ADV
ajst-23751	82	52	.	.	PUNCT
ajst-23751	82	53	,	,	PUNCT
ajst-23751	82	54	represents	represent	VERB
ajst-23751	82	55	the	the	DET
ajst-23751	82	56	set	set	NOUN
ajst-23751	82	57	of	of	ADP
ajst-23751	82	58	training	training	NOUN
ajst-23751	82	59	samples	sample	NOUN
ajst-23751	82	60	of	of	ADP
ajst-23751	82	61	the	the	DET
ajst-23751	82	62	left	left	ADJ
ajst-23751	82	63	sub	sub	NOUN
ajst-23751	82	64	-	-	ADJ
ajst-23751	82	65	node	node	ADJ
ajst-23751	82	66	and	and	CCONJ
ajst-23751	82	67	the	the	DET
ajst-23751	82	68	right	right	ADJ
ajst-23751	82	69	sub	sub	NOUN
ajst-23751	82	70	-	-	ADJ
ajst-23751	82	71	node	node	ADJ
ajst-23751	82	72	,	,	PUNCT
ajst-23751	82	73	respectively	respectively	ADV
ajst-23751	82	74	.	.	PUNCT
ajst-23751	83	1	represents	represent	VERB
ajst-23751	83	2	the	the	DET
ajst-23751	83	3	sample	sample	NOUN
ajst-23751	83	4	variable	variable	NOUN
ajst-23751	83	5	of	of	ADP
ajst-23751	83	6	the	the	DET
ajst-23751	83	7	current	current	ADJ
ajst-23751	83	8	node	node	NOUN
ajst-23751	83	9	;	;	PUNCT
ajst-23751	83	10	where	where	SCONJ
ajst-23751	83	11	‾	‾	NOUN
ajst-23751	83	12	represents	represent	VERB
ajst-23751	83	13	the	the	DET
ajst-23751	83	14	average	average	ADJ
ajst-23751	83	15	value	value	NOUN
ajst-23751	83	16	of	of	ADP
ajst-23751	83	17	the	the	DET
ajst-23751	83	18	target	target	NOUN
ajst-23751	83	19	variables	variable	NOUN
ajst-23751	83	20	of	of	ADP
ajst-23751	83	21	the	the	DET
ajst-23751	83	22	samples	sample	NOUN
ajst-23751	83	23	of	of	ADP
ajst-23751	83	24	the	the	DET
ajst-23751	83	25	left	left	ADJ
ajst-23751	83	26	subnode	subnode	NOUN
ajst-23751	83	27	and	and	CCONJ
ajst-23751	83	28	the	the	DET
ajst-23751	83	29	right	right	ADJ
ajst-23751	83	30	subnode	subnode	NOUN
ajst-23751	83	31	,	,	PUNCT
ajst-23751	83	32	respectively	respectively	ADV
ajst-23751	83	33	.	.	PUNCT
ajst-23751	84	1	step	step	NOUN
ajst-23751	84	2	3	3	NUM
ajst-23751	84	3	perform	perform	VERB
ajst-23751	84	4	random	random	ADJ
ajst-23751	84	5	and	and	CCONJ
ajst-23751	84	6	repeated	repeat	VERB
ajst-23751	84	7	sampling	sampling	NOUN
ajst-23751	84	8	of	of	ADP
ajst-23751	84	9	the	the	DET
ajst-23751	84	10	row	row	NOUN
ajst-23751	84	11	vectors	vector	NOUN
ajst-23751	84	12	of	of	ADP
ajst-23751	84	13	the	the	DET
ajst-23751	84	14	dataset	dataset	NOUN
ajst-23751	84	15	feature	feature	NOUN
ajst-23751	84	16	matrix	matrix	NOUN
ajst-23751	84	17	to	to	PART
ajst-23751	84	18	generate	generate	VERB
ajst-23751	84	19	the	the	DET
ajst-23751	84	20	sample	sample	NOUN
ajst-23751	84	21	matrix	matrix	NOUN
ajst-23751	84	22	,	,	PUNCT
ajst-23751	84	23	and	and	CCONJ
ajst-23751	84	24	the	the	DET
ajst-23751	84	25	rest	rest	NOUN
ajst-23751	84	26	of	of	ADP
ajst-23751	84	27	the	the	DET
ajst-23751	84	28	unselected	unselected	ADJ
ajst-23751	84	29	data	datum	NOUN
ajst-23751	84	30	will	will	AUX
ajst-23751	84	31	be	be	AUX
ajst-23751	84	32	used	use	VERB
ajst-23751	84	33	as	as	ADP
ajst-23751	84	34	out	out	ADV
ajst-23751	84	35	-	-	PUNCT
ajst-23751	84	36	of	of	ADP
ajst-23751	84	37	-	-	PUNCT
ajst-23751	84	38	pocket	pocket	NOUN
ajst-23751	84	39	data	datum	NOUN
ajst-23751	84	40	to	to	PART
ajst-23751	84	41	increase	increase	VERB
ajst-23751	84	42	the	the	DET
ajst-23751	84	43	robustness	robustness	NOUN
ajst-23751	84	44	and	and	CCONJ
ajst-23751	84	45	stability	stability	NOUN
ajst-23751	84	46	of	of	ADP
ajst-23751	84	47	the	the	DET
ajst-23751	84	48	model	model	NOUN
ajst-23751	84	49	.	.	PUNCT
ajst-23751	85	1	step	step	VERB
ajst-23751	85	2	4	4	NUM
ajst-23751	85	3	among	among	ADP
ajst-23751	85	4	the	the	DET
ajst-23751	85	5	q	q	ADJ
ajst-23751	85	6	column	column	NOUN
ajst-23751	85	7	vectors	vector	NOUN
ajst-23751	85	8	in	in	ADP
ajst-23751	85	9	the	the	DET
ajst-23751	85	10	sample	sample	NOUN
ajst-23751	85	11	matrix	matrix	NOUN
ajst-23751	85	12	,	,	PUNCT
ajst-23751	85	13	column	column	NOUN
ajst-23751	85	14	vectors	vector	NOUN
ajst-23751	85	15	are	be	AUX
ajst-23751	85	16	randomly	randomly	ADV
ajst-23751	85	17	selected	select	VERB
ajst-23751	85	18	as	as	ADP
ajst-23751	85	19	the	the	DET
ajst-23751	85	20	optimal	optimal	ADJ
ajst-23751	85	21	splitting	splitting	NOUN
ajst-23751	85	22	node	node	ADJ
ajst-23751	85	23	candidate	candidate	NOUN
ajst-23751	85	24	(	(	PUNCT
ajst-23751	85	25	)	)	PUNCT
ajst-23751	85	26	.	.	PUNCT
ajst-23751	86	1	solve	solve	VERB
ajst-23751	86	2	for	for	ADP
ajst-23751	86	3	the	the	DET
ajst-23751	86	4	q	q	ADJ
ajst-23751	86	5	column	column	NOUN
ajst-23751	86	6	vectors	vector	NOUN
ajst-23751	86	7	to	to	PART
ajst-23751	86	8	minimize	minimize	VERB
ajst-23751	86	9	the	the	DET
ajst-23751	86	10	impurity	impurity	NOUN
ajst-23751	86	11	weighted	weight	VERB
ajst-23751	86	12	and	and	CCONJ
ajst-23751	86	13	min	min	NOUN
ajst-23751	86	14	x	x	PROPN
ajst-23751	86	15	,	,	PUNCT
ajst-23751	86	16	v	v	INTJ
ajst-23751	86	17	,	,	PUNCT
ajst-23751	86	18	select	select	VERB
ajst-23751	86	19	the	the	DET
ajst-23751	86	20	optimal	optimal	ADJ
ajst-23751	86	21	segmentation	segmentation	NOUN
ajst-23751	86	22	variable	variable	NOUN
ajst-23751	86	23	and	and	CCONJ
ajst-23751	86	24	the	the	DET
ajst-23751	86	25	segmentation	segmentation	NOUN
ajst-23751	86	26	point	point	NOUN
ajst-23751	86	27	,	,	PUNCT
ajst-23751	86	28	generate	generate	VERB
ajst-23751	86	29	two	two	NUM
ajst-23751	86	30	subnodes	subnode	NOUN
ajst-23751	86	31	,	,	PUNCT
ajst-23751	86	32	and	and	CCONJ
ajst-23751	86	33	determine	determine	VERB
ajst-23751	86	34	the	the	DET
ajst-23751	86	35	corresponding	corresponding	ADJ
ajst-23751	86	36	output	output	NOUN
ajst-23751	86	37	values	value	NOUN
ajst-23751	86	38	.	.	PUNCT
ajst-23751	87	1	step	step	NOUN
ajst-23751	87	2	5	5	NUM
ajst-23751	87	3	repeat	repeat	NOUN
ajst-23751	87	4	steps	step	NOUN
ajst-23751	87	5	2~4	2~4	NUM
ajst-23751	87	6	to	to	PART
ajst-23751	87	7	generate	generate	VERB
ajst-23751	87	8	multiple	multiple	ADJ
ajst-23751	87	9	single	single	ADJ
ajst-23751	87	10	decision	decision	NOUN
ajst-23751	87	11	tree	tree	NOUN
ajst-23751	87	12	models	model	NOUN
ajst-23751	87	13	until	until	SCONJ
ajst-23751	87	14	the	the	DET
ajst-23751	87	15	maximum	maximum	ADJ
ajst-23751	87	16	number	number	NOUN
ajst-23751	87	17	of	of	ADP
ajst-23751	87	18	decision	decision	NOUN
ajst-23751	87	19	trees	tree	NOUN
ajst-23751	87	20	is	be	AUX
ajst-23751	87	21	reached	reach	VERB
ajst-23751	87	22	,	,	PUNCT
ajst-23751	87	23	and	and	CCONJ
ajst-23751	87	24	then	then	ADV
ajst-23751	87	25	integrate	integrate	VERB
ajst-23751	87	26	all	all	DET
ajst-23751	87	27	the	the	DET
ajst-23751	87	28	generated	generate	VERB
ajst-23751	87	29	single	single	ADJ
ajst-23751	87	30	decision	decision	NOUN
ajst-23751	87	31	tree	tree	NOUN
ajst-23751	87	32	models	model	NOUN
ajst-23751	87	33	to	to	PART
ajst-23751	87	34	generate	generate	VERB
ajst-23751	87	35	a	a	DET
ajst-23751	87	36	random	random	ADJ
ajst-23751	87	37	forest	forest	NOUN
ajst-23751	87	38	model	model	NOUN
ajst-23751	87	39	.	.	PUNCT
ajst-23751	88	1	step	step	VERB
ajst-23751	88	2	6	6	NUM
ajst-23751	88	3	the	the	DET
ajst-23751	88	4	prediction	prediction	NOUN
ajst-23751	88	5	of	of	ADP
ajst-23751	88	6	the	the	DET
ajst-23751	88	7	winning	win	VERB
ajst-23751	88	8	rate	rate	NOUN
ajst-23751	88	9	of	of	ADP
ajst-23751	88	10	each	each	DET
ajst-23751	88	11	game	game	NOUN
ajst-23751	88	12	of	of	ADP
ajst-23751	88	13	the	the	DET
ajst-23751	88	14	player	player	NOUN
ajst-23751	88	15	is	be	AUX
ajst-23751	88	16	a	a	DET
ajst-23751	88	17	kind	kind	NOUN
ajst-23751	88	18	of	of	ADP
ajst-23751	88	19	regression	regression	NOUN
ajst-23751	88	20	problem	problem	NOUN
ajst-23751	88	21	,	,	PUNCT
ajst-23751	88	22	when	when	SCONJ
ajst-23751	88	23	the	the	DET
ajst-23751	88	24	final	final	ADJ
ajst-23751	88	25	output	output	NOUN
ajst-23751	88	26	result	result	NOUN
ajst-23751	88	27	is	be	AUX
ajst-23751	88	28	output	output	NOUN
ajst-23751	88	29	,	,	PUNCT
ajst-23751	88	30	the	the	DET
ajst-23751	88	31	model	model	NOUN
ajst-23751	88	32	weights	weight	VERB
ajst-23751	88	33	the	the	DET
ajst-23751	88	34	prediction	prediction	NOUN
ajst-23751	88	35	results	result	NOUN
ajst-23751	88	36	of	of	ADP
ajst-23751	88	37	m	m	NOUN
ajst-23751	88	38	decision	decision	NOUN
ajst-23751	88	39	trees	tree	NOUN
ajst-23751	88	40	on	on	ADP
ajst-23751	88	41	average	average	ADJ
ajst-23751	88	42	,	,	PUNCT
ajst-23751	88	43	and	and	CCONJ
ajst-23751	88	44	then	then	ADV
ajst-23751	88	45	uses	use	VERB
ajst-23751	88	46	the	the	DET
ajst-23751	88	47	obtained	obtain	VERB
ajst-23751	88	48	value	value	NOUN
ajst-23751	88	49	as	as	ADP
ajst-23751	88	50	the	the	DET
ajst-23751	88	51	model	model	NOUN
ajst-23751	88	52	prediction	prediction	NOUN
ajst-23751	88	53	result	result	NOUN
ajst-23751	88	54	and	and	CCONJ
ajst-23751	88	55	outputs	output	NOUN
ajst-23751	88	56	.	.	PUNCT
ajst-23751	89	1	2.1.4	2.1.4	NUM
ajst-23751	89	2	.	.	PUNCT
ajst-23751	89	3	solution	solution	NOUN
ajst-23751	89	4	of	of	ADP
ajst-23751	89	5	the	the	DET
ajst-23751	89	6	model	model	NOUN
ajst-23751	89	7	for	for	ADP
ajst-23751	89	8	a	a	DET
ajst-23751	89	9	player	player	NOUN
ajst-23751	89	10	's	's	PART
ajst-23751	89	11	performance	performance	NOUN
ajst-23751	89	12	in	in	ADP
ajst-23751	89	13	a	a	DET
ajst-23751	89	14	match	match	NOUN
ajst-23751	89	15	,	,	PUNCT
ajst-23751	89	16	the	the	DET
ajst-23751	89	17	measure	measure	NOUN
ajst-23751	89	18	is	be	AUX
ajst-23751	89	19	wins	win	NOUN
ajst-23751	89	20	per	per	ADP
ajst-23751	89	21	set	set	NOUN
ajst-23751	89	22	.	.	PUNCT
ajst-23751	90	1	the	the	PRON
ajst-23751	90	2	higher	high	ADJ
ajst-23751	90	3	a	a	DET
ajst-23751	90	4	player	player	NOUN
ajst-23751	90	5	's	's	PART
ajst-23751	90	6	win	win	NOUN
ajst-23751	90	7	rate	rate	NOUN
ajst-23751	90	8	per	per	ADP
ajst-23751	90	9	set	set	NOUN
ajst-23751	90	10	,	,	PUNCT
ajst-23751	90	11	the	the	PRON
ajst-23751	90	12	better	well	ADJ
ajst-23751	90	13	his	his	PRON
ajst-23751	90	14	performance	performance	NOUN
ajst-23751	90	15	.	.	PUNCT
ajst-23751	91	1	individual	individual	ADJ
ajst-23751	91	2	differences	difference	NOUN
ajst-23751	91	3	in	in	ADP
ajst-23751	91	4	performance	performance	NOUN
ajst-23751	91	5	are	be	AUX
ajst-23751	91	6	large	large	ADJ
ajst-23751	91	7	for	for	ADP
ajst-23751	91	8	different	different	ADJ
ajst-23751	91	9	players	player	NOUN
ajst-23751	91	10	.	.	PUNCT
ajst-23751	92	1	in	in	ADP
ajst-23751	92	2	this	this	DET
ajst-23751	92	3	paper	paper	NOUN
ajst-23751	92	4	,	,	PUNCT
ajst-23751	92	5	we	we	PRON
ajst-23751	92	6	will	will	AUX
ajst-23751	92	7	start	start	VERB
ajst-23751	92	8	by	by	ADP
ajst-23751	92	9	analyzing	analyze	VERB
ajst-23751	92	10	two	two	NUM
ajst-23751	92	11	specific	specific	ADJ
ajst-23751	92	12	players	player	NOUN
ajst-23751	92	13	.	.	PUNCT
ajst-23751	93	1	the	the	DET
ajst-23751	93	2	following	follow	VERB
ajst-23751	93	3	quotes	quote	NOUN
ajst-23751	93	4	are	be	AUX
ajst-23751	93	5	from	from	ADP
ajst-23751	93	6	the	the	DET
ajst-23751	93	7	original	original	ADJ
ajst-23751	93	8	dataset	dataset	NOUN
ajst-23751	93	9	for	for	ADP
ajst-23751	93	10	alejandro	alejandro	PROPN
ajst-23751	93	11	davidovich	davidovich	PROPN
ajst-23751	93	12	fokina	fokina	PROPN
ajst-23751	93	13	and	and	CCONJ
ajst-23751	93	14	holger	holger	PROPN
ajst-23751	93	15	rune	rune	NOUN
ajst-23751	93	16	.	.	PUNCT
ajst-23751	94	1	a	a	DET
ajst-23751	94	2	player	player	NOUN
ajst-23751	94	3	's	's	PART
ajst-23751	94	4	winning	win	VERB
ajst-23751	94	5	percentage	percentage	NOUN
ajst-23751	94	6	is	be	AUX
ajst-23751	94	7	defined	define	VERB
ajst-23751	94	8	as	as	ADP
ajst-23751	94	9	the	the	DET
ajst-23751	94	10	number	number	NOUN
ajst-23751	94	11	of	of	ADP
ajst-23751	94	12	points	point	NOUN
ajst-23751	94	13	won	win	VERB
ajst-23751	94	14	by	by	ADP
ajst-23751	94	15	the	the	DET
ajst-23751	94	16	player	player	NOUN
ajst-23751	94	17	in	in	ADP
ajst-23751	94	18	the	the	DET
ajst-23751	94	19	authority	authority	NOUN
ajst-23751	94	20	divided	divide	VERB
ajst-23751	94	21	by	by	ADP
ajst-23751	94	22	the	the	DET
ajst-23751	94	23	number	number	NOUN
ajst-23751	94	24	of	of	ADP
ajst-23751	94	25	points	point	NOUN
ajst-23751	94	26	won	win	VERB
ajst-23751	94	27	by	by	ADP
ajst-23751	94	28	both	both	DET
ajst-23751	94	29	players	player	NOUN
ajst-23751	94	30	in	in	ADP
ajst-23751	94	31	the	the	DET
ajst-23751	94	32	game	game	NOUN
ajst-23751	94	33	.	.	PUNCT
ajst-23751	95	1	figure	figure	NOUN
ajst-23751	95	2	7	7	NUM
ajst-23751	95	3	reflects	reflect	VERB
ajst-23751	95	4	a	a	DET
ajst-23751	95	5	plot	plot	NOUN
ajst-23751	95	6	of	of	ADP
ajst-23751	95	7	the	the	DET
ajst-23751	95	8	point	point	NOUN
ajst-23751	95	9	in	in	ADP
ajst-23751	95	10	time	time	NOUN
ajst-23751	95	11	at	at	ADP
ajst-23751	95	12	which	which	PRON
ajst-23751	95	13	each	each	DET
ajst-23751	95	14	score	score	NOUN
ajst-23751	95	15	was	be	AUX
ajst-23751	95	16	recorded	record	VERB
ajst-23751	95	17	versus	versus	ADP
ajst-23751	95	18	the	the	DET
ajst-23751	95	19	margin	margin	NOUN
ajst-23751	95	20	of	of	ADP
ajst-23751	95	21	victory	victory	NOUN
ajst-23751	95	22	in	in	ADP
ajst-23751	95	23	future	future	ADJ
ajst-23751	95	24	matches	match	NOUN
ajst-23751	95	25	.	.	PUNCT
ajst-23751	96	1	figure	figure	VERB
ajst-23751	96	2	7	7	NUM
ajst-23751	96	3	.	.	PUNCT
ajst-23751	97	1	the	the	DET
ajst-23751	97	2	relationship	relationship	NOUN
ajst-23751	97	3	between	between	ADP
ajst-23751	97	4	the	the	DET
ajst-23751	97	5	time	time	NOUN
ajst-23751	97	6	of	of	ADP
ajst-23751	97	7	the	the	DET
ajst-23751	97	8	score	score	NOUN
ajst-23751	97	9	and	and	CCONJ
ajst-23751	97	10	the	the	DET
ajst-23751	97	11	win	win	NOUN
ajst-23751	97	12	rate	rate	NOUN
ajst-23751	97	13	player1	player1	NOUN
ajst-23751	97	14	is	be	AUX
ajst-23751	97	15	alejandro	alejandro	PROPN
ajst-23751	97	16	davidovich	davidovich	PROPN
ajst-23751	97	17	fokina	fokina	PROPN
ajst-23751	97	18	,	,	PUNCT
ajst-23751	97	19	and	and	CCONJ
ajst-23751	97	20	player2	player2	PROPN
ajst-23751	97	21	is	be	AUX
ajst-23751	97	22	holger	holger	NOUN
ajst-23751	97	23	rune	rune	NOUN
ajst-23751	97	24	.	.	PUNCT
ajst-23751	98	1	by	by	ADP
ajst-23751	98	2	looking	look	VERB
ajst-23751	98	3	at	at	ADP
ajst-23751	98	4	the	the	DET
ajst-23751	98	5	images	image	NOUN
ajst-23751	98	6	,	,	PUNCT
ajst-23751	98	7	we	we	PRON
ajst-23751	98	8	can	can	AUX
ajst-23751	98	9	find	find	VERB
ajst-23751	98	10	that	that	SCONJ
ajst-23751	98	11	player1	player1	PROPN
ajst-23751	98	12	's	's	PART
ajst-23751	98	13	win	win	NOUN
ajst-23751	98	14	rate	rate	NOUN
ajst-23751	98	15	peaks	peak	NOUN
ajst-23751	98	16	around	around	ADP
ajst-23751	98	17	0.06(h	0.06(h	PROPN
ajst-23751	98	18	)	)	PUNCT
ajst-23751	98	19	,	,	PUNCT
ajst-23751	98	20	and	and	CCONJ
ajst-23751	98	21	then	then	ADV
ajst-23751	98	22	fluctuates	fluctuate	VERB
ajst-23751	98	23	around	around	ADV
ajst-23751	98	24	0.5	0.5	NUM
ajst-23751	98	25	as	as	ADP
ajst-23751	98	26	time	time	NOUN
ajst-23751	98	27	increases	increase	NOUN
ajst-23751	98	28	.	.	PUNCT
ajst-23751	99	1	for	for	ADP
ajst-23751	99	2	player2	player2	PROPN
ajst-23751	99	3	,	,	PUNCT
ajst-23751	99	4	his	his	PRON
ajst-23751	99	5	win	win	NOUN
ajst-23751	99	6	rate	rate	NOUN
ajst-23751	99	7	rises	rise	VERB
ajst-23751	99	8	first	first	ADV
ajst-23751	99	9	,	,	PUNCT
ajst-23751	99	10	then	then	ADV
ajst-23751	99	11	fluctuates	fluctuate	VERB
ajst-23751	99	12	around	around	ADP
ajst-23751	99	13	0.5	0.5	NUM
ajst-23751	99	14	,	,	PUNCT
ajst-23751	99	15	peaking	peak	VERB
ajst-23751	99	16	at	at	ADP
ajst-23751	99	17	around	around	ADV
ajst-23751	99	18	0.7(h	0.7(h	NUM
ajst-23751	99	19	)	)	PUNCT
ajst-23751	99	20	.	.	PUNCT
ajst-23751	100	1	assessing	assess	VERB
ajst-23751	100	2	the	the	DET
ajst-23751	100	3	role	role	NOUN
ajst-23751	100	4	of	of	ADP
ajst-23751	100	5	"	"	PUNCT
ajst-23751	100	6	momentum	momentum	NOUN
ajst-23751	100	7	"	"	PUNCT
ajst-23751	100	8	in	in	ADP
ajst-23751	100	9	the	the	DET
ajst-23751	100	10	game	game	NOUN
ajst-23751	100	11	modeling	modeling	NOUN
ajst-23751	100	12	of	of	ADP
ajst-23751	100	13	the	the	DET
ajst-23751	100	14	kruskal	kruskal	PROPN
ajst-23751	100	15	-	-	PUNCT
ajst-23751	100	16	wallis	wallis	PROPN
ajst-23751	100	17	h	h	PROPN
ajst-23751	100	18	test	test	NOUN
ajst-23751	100	19	before	before	ADP
ajst-23751	100	20	kruskal	kruskal	PROPN
ajst-23751	100	21	-	-	PUNCT
ajst-23751	100	22	wallis	wallis	PROPN
ajst-23751	100	23	h	h	PROPN
ajst-23751	100	24	test	test	NOUN
ajst-23751	100	25	,	,	PUNCT
ajst-23751	100	26	it	it	PRON
ajst-23751	100	27	is	be	AUX
ajst-23751	100	28	necessary	necessary	ADJ
ajst-23751	100	29	to	to	PART
ajst-23751	100	30	carry	carry	VERB
ajst-23751	100	31	out	out	ADP
ajst-23751	100	32	the	the	DET
ajst-23751	100	33	homogeneity	homogeneity	NOUN
ajst-23751	100	34	of	of	ADP
ajst-23751	100	35	variance	variance	NOUN
ajst-23751	100	36	test	test	NOUN
ajst-23751	100	37	.	.	PUNCT
ajst-23751	101	1	the	the	DET
ajst-23751	101	2	test	test	NOUN
ajst-23751	101	3	process	process	NOUN
ajst-23751	101	4	is	be	AUX
ajst-23751	101	5	as	as	SCONJ
ajst-23751	101	6	follows	follow	VERB
ajst-23751	101	7	:	:	PUNCT
ajst-23751	101	8	the	the	DET
ajst-23751	101	9	hypothesis	hypothesis	NOUN
ajst-23751	101	10	is	be	AUX
ajst-23751	101	11	made	make	VERB
ajst-23751	101	12	first	first	ADV
ajst-23751	101	13	,	,	PUNCT
ajst-23751	101	14	that	that	ADV
ajst-23751	101	15	is	is	ADV
ajst-23751	101	16	,	,	PUNCT
ajst-23751	101	17	the	the	DET
ajst-23751	101	18	homogeneity	homogeneity	NOUN
ajst-23751	101	19	of	of	ADP
ajst-23751	101	20	variance	variance	NOUN
ajst-23751	101	21	is	be	AUX
ajst-23751	101	22	satisfied	satisfied	ADJ
ajst-23751	101	23	.	.	PUNCT
ajst-23751	102	1	when	when	SCONJ
ajst-23751	102	2	the	the	DET
ajst-23751	102	3	number	number	NOUN
ajst-23751	102	4	of	of	ADP
ajst-23751	102	5	test	test	NOUN
ajst-23751	102	6	repeats	repeat	NOUN
ajst-23751	102	7	at	at	ADP
ajst-23751	102	8	each	each	DET
ajst-23751	102	9	level	level	NOUN
ajst-23751	102	10	is	be	AUX
ajst-23751	102	11	equal	equal	ADJ
ajst-23751	102	12	,	,	PUNCT
ajst-23751	102	13	that	that	PRON
ajst-23751	102	14	is	be	AUX
ajst-23751	102	15	:	:	PUNCT
ajst-23751	102	16	⋯	⋯	X
ajst-23751	102	17	(	(	PUNCT
ajst-23751	102	18	9	9	NUM
ajst-23751	102	19	)	)	PUNCT
ajst-23751	102	20	is	be	AUX
ajst-23751	102	21	the	the	DET
ajst-23751	102	22	number	number	NOUN
ajst-23751	102	23	of	of	ADP
ajst-23751	102	24	repetitions	repetition	NOUN
ajst-23751	102	25	at	at	ADP
ajst-23751	102	26	each	each	DET
ajst-23751	102	27	level	level	NOUN
ajst-23751	102	28	,	,	PUNCT
ajst-23751	102	29	which	which	PRON
ajst-23751	102	30	is	be	AUX
ajst-23751	102	31	the	the	DET
ajst-23751	102	32	ratio	ratio	NOUN
ajst-23751	102	33	of	of	ADP
ajst-23751	102	34	the	the	DET
ajst-23751	102	35	maximum	maximum	ADJ
ajst-23751	102	36	and	and	CCONJ
ajst-23751	102	37	minimum	minimum	ADJ
ajst-23751	102	38	variances	variance	NOUN
ajst-23751	102	39	of	of	ADP
ajst-23751	102	40	samples	sample	NOUN
ajst-23751	102	41	.	.	PUNCT
ajst-23751	103	1	under	under	ADP
ajst-23751	103	2	the	the	DET
ajst-23751	103	3	condition	condition	NOUN
ajst-23751	103	4	that	that	SCONJ
ajst-23751	103	5	the	the	DET
ajst-23751	103	6	difference	difference	NOUN
ajst-23751	103	7	is	be	AUX
ajst-23751	103	8	equal	equal	ADJ
ajst-23751	103	9	,	,	PUNCT
ajst-23751	103	10	the	the	DET
ajst-23751	103	11	h	h	NOUN
ajst-23751	103	12	quantile	quantile	NOUN
ajst-23751	103	13	of	of	ADP
ajst-23751	103	14	the	the	DET
ajst-23751	103	15	h	h	NOUN
ajst-23751	103	16	distribution	distribution	NOUN
ajst-23751	103	17	can	can	AUX
ajst-23751	103	18	be	be	AUX
ajst-23751	103	19	obtained	obtain	VERB
ajst-23751	103	20	by	by	ADP
ajst-23751	103	21	random	random	ADJ
ajst-23751	103	22	simulation	simulation	NOUN
ajst-23751	103	23	.	.	PUNCT
ajst-23751	104	1	the	the	DET
ajst-23751	104	2	distribution	distribution	NOUN
ajst-23751	104	3	depends	depend	VERB
ajst-23751	104	4	on	on	ADP
ajst-23751	104	5	the	the	DET
ajst-23751	104	6	level	level	NOUN
ajst-23751	104	7	number	number	NOUN
ajst-23751	104	8	r	r	NOUN
ajst-23751	104	9	and	and	CCONJ
ajst-23751	104	10	the	the	DET
ajst-23751	104	11	degree	degree	NOUN
ajst-23751	104	12	of	of	ADP
ajst-23751	104	13	freedom	freedom	NOUN
ajst-23751	104	14	1	1	NUM
ajst-23751	104	15	of	of	ADP
ajst-23751	104	16	the	the	DET
ajst-23751	104	17	sample	sample	NOUN
ajst-23751	104	18	variance	variance	NOUN
ajst-23751	104	19	,	,	PUNCT
ajst-23751	104	20	so	so	CCONJ
ajst-23751	104	21	the	the	DET
ajst-23751	104	22	distribution	distribution	NOUN
ajst-23751	104	23	can	can	AUX
ajst-23751	104	24	be	be	AUX
ajst-23751	104	25	recorded	record	VERB
ajst-23751	104	26	as	as	ADP
ajst-23751	104	27	r	r	NOUN
ajst-23751	104	28	,	,	PUNCT
ajst-23751	104	29	f	f	PROPN
ajst-23751	104	30	.	.	PUNCT
ajst-23751	105	1	when	when	SCONJ
ajst-23751	105	2	is	be	AUX
ajst-23751	105	3	used	use	VERB
ajst-23751	105	4	immediately	immediately	ADV
ajst-23751	105	5	,	,	PUNCT
ajst-23751	105	6	there	there	PRON
ajst-23751	105	7	are	be	VERB
ajst-23751	105	8	:	:	PUNCT
ajst-23751	105	9	237	237	NUM
ajst-23751	105	10	⋯	⋯	VERB
ajst-23751	105	11	(	(	PUNCT
ajst-23751	105	12	10	10	NUM
ajst-23751	105	13	)	)	PUNCT
ajst-23751	105	14	the	the	DET
ajst-23751	105	15	value	value	NOUN
ajst-23751	105	16	of	of	ADP
ajst-23751	105	17	should	should	AUX
ajst-23751	105	18	be	be	AUX
ajst-23751	105	19	close	close	ADJ
ajst-23751	105	20	to	to	ADP
ajst-23751	105	21	1	1	NUM
ajst-23751	105	22	,	,	PUNCT
ajst-23751	105	23	when	when	SCONJ
ajst-23751	105	24	the	the	DET
ajst-23751	105	25	value	value	NOUN
ajst-23751	105	26	of	of	ADP
ajst-23751	105	27	is	be	AUX
ajst-23751	105	28	large	large	ADJ
ajst-23751	105	29	,	,	PUNCT
ajst-23751	105	30	the	the	DET
ajst-23751	105	31	difference	difference	NOUN
ajst-23751	105	32	between	between	ADP
ajst-23751	105	33	the	the	DET
ajst-23751	105	34	parties	party	NOUN
ajst-23751	105	35	will	will	AUX
ajst-23751	105	36	be	be	AUX
ajst-23751	105	37	large	large	ADJ
ajst-23751	105	38	,	,	PUNCT
ajst-23751	105	39	the	the	PRON
ajst-23751	105	40	greater	great	ADJ
ajst-23751	105	41	the	the	DET
ajst-23751	105	42	value	value	NOUN
ajst-23751	105	43	of	of	ADP
ajst-23751	105	44	,	,	PUNCT
ajst-23751	105	45	the	the	PRON
ajst-23751	105	46	greater	great	ADJ
ajst-23751	105	47	the	the	DET
ajst-23751	105	48	difference	difference	NOUN
ajst-23751	105	49	between	between	ADP
ajst-23751	105	50	the	the	DET
ajst-23751	105	51	parties	party	NOUN
ajst-23751	105	52	,	,	PUNCT
ajst-23751	105	53	then	then	ADV
ajst-23751	105	54	reject	reject	VERB
ajst-23751	105	55	the	the	DET
ajst-23751	105	56	null	null	ADJ
ajst-23751	105	57	hypothesis	hypothesis	NOUN
ajst-23751	105	58	.	.	PUNCT
ajst-23751	106	1	it	it	PRON
ajst-23751	106	2	follows	follow	VERB
ajst-23751	106	3	that	that	SCONJ
ajst-23751	106	4	for	for	ADP
ajst-23751	106	5	given	give	VERB
ajst-23751	106	6	significance	significance	NOUN
ajst-23751	106	7	level	level	NOUN
ajst-23751	106	8	,	,	PUNCT
ajst-23751	106	9	the	the	DET
ajst-23751	106	10	rejection	rejection	NOUN
ajst-23751	106	11	domain	domain	NOUN
ajst-23751	106	12	of	of	ADP
ajst-23751	106	13	test	test	NOUN
ajst-23751	106	14	is	be	AUX
ajst-23751	106	15	:	:	PUNCT
ajst-23751	107	1	h	h	NOUN
ajst-23751	107	2	h	h	PROPN
ajst-23751	108	1	r	r	NOUN
ajst-23751	108	2	,	,	PUNCT
ajst-23751	108	3	f	f	PROPN
ajst-23751	108	4	(	(	PUNCT
ajst-23751	108	5	11	11	NUM
ajst-23751	108	6	)	)	PUNCT
ajst-23751	108	7	the	the	DET
ajst-23751	108	8	alternative	alternative	ADJ
ajst-23751	108	9	hypothesis	hypothesis	NOUN
ajst-23751	108	10	is	be	AUX
ajst-23751	108	11	that	that	SCONJ
ajst-23751	108	12	there	there	PRON
ajst-23751	108	13	is	be	VERB
ajst-23751	108	14	at	at	ADV
ajst-23751	108	15	least	least	ADJ
ajst-23751	108	16	one	one	NUM
ajst-23751	108	17	pair	pair	NOUN
ajst-23751	108	18	of	of	ADP
ajst-23751	108	19	.	.	PUNCT
ajst-23751	109	1	construct	construct	VERB
ajst-23751	109	2	test	test	NOUN
ajst-23751	109	3	statistics	statistic	NOUN
ajst-23751	109	4	:	:	PUNCT
ajst-23751	109	5	∑	∑	PUNCT
ajst-23751	109	6	  	  	SPACE
ajst-23751	109	7	‾	‾	PROPN
ajst-23751	109	8	∑	∑	PART
ajst-23751	109	9	  	  	SPACE
ajst-23751	109	10	‾	‾	PROPN
ajst-23751	109	11	3	3	NUM
ajst-23751	109	12	n	n	SYM
ajst-23751	109	13	1	1	NUM
ajst-23751	109	14	∼	∼	NOUN
ajst-23751	109	15	k	k	X
ajst-23751	109	16	1	1	NUM
ajst-23751	109	17	(	(	PUNCT
ajst-23751	109	18	12	12	NUM
ajst-23751	109	19	)	)	PUNCT
ajst-23751	109	20	2.2	2.2	NUM
ajst-23751	109	21	.	.	PUNCT
ajst-23751	109	22	prediction	prediction	NOUN
ajst-23751	109	23	of	of	ADP
ajst-23751	109	24	game	game	NOUN
ajst-23751	109	25	changes	change	NOUN
ajst-23751	109	26	and	and	CCONJ
ajst-23751	109	27	establishment	establishment	NOUN
ajst-23751	109	28	of	of	ADP
ajst-23751	109	29	correlation	correlation	NOUN
ajst-23751	109	30	factors	factor	VERB
ajst-23751	109	31	2.2.1	2.2.1	NUM
ajst-23751	109	32	.	.	PUNCT
ajst-23751	110	1	gabp	gabp	NOUN
ajst-23751	110	2	prediction	prediction	NOUN
ajst-23751	110	3	model	model	NOUN
ajst-23751	110	4	when	when	SCONJ
ajst-23751	110	5	predicting	predict	VERB
ajst-23751	110	6	changes	change	NOUN
ajst-23751	110	7	in	in	ADP
ajst-23751	110	8	the	the	DET
ajst-23751	110	9	flow	flow	NOUN
ajst-23751	110	10	of	of	ADP
ajst-23751	110	11	a	a	DET
ajst-23751	110	12	tennis	tennis	NOUN
ajst-23751	110	13	match	match	NOUN
ajst-23751	110	14	,	,	PUNCT
ajst-23751	110	15	and	and	CCONJ
ajst-23751	110	16	in	in	ADP
ajst-23751	110	17	particular	particular	ADJ
ajst-23751	110	18	identifying	identify	VERB
ajst-23751	110	19	potential	potential	ADJ
ajst-23751	110	20	momentum	momentum	NOUN
ajst-23751	110	21	fluctuations	fluctuation	NOUN
ajst-23751	110	22	,	,	PUNCT
ajst-23751	110	23	it	it	PRON
ajst-23751	110	24	is	be	AUX
ajst-23751	110	25	necessary	necessary	ADJ
ajst-23751	110	26	to	to	PART
ajst-23751	110	27	determine	determine	VERB
ajst-23751	110	28	which	which	DET
ajst-23751	110	29	factors	factor	NOUN
ajst-23751	110	30	are	be	AUX
ajst-23751	110	31	most	most	ADV
ajst-23751	110	32	relevant	relevant	ADJ
ajst-23751	110	33	to	to	ADP
ajst-23751	110	34	these	these	DET
ajst-23751	110	35	changes	change	NOUN
ajst-23751	110	36	in	in	ADP
ajst-23751	110	37	the	the	DET
ajst-23751	110	38	dynamics	dynamic	NOUN
ajst-23751	110	39	of	of	ADP
ajst-23751	110	40	the	the	DET
ajst-23751	110	41	match	match	NOUN
ajst-23751	110	42	.	.	PUNCT
ajst-23751	111	1	however	however	ADV
ajst-23751	111	2	,	,	PUNCT
ajst-23751	111	3	it	it	PRON
ajst-23751	111	4	is	be	AUX
ajst-23751	111	5	difficult	difficult	ADJ
ajst-23751	111	6	to	to	PART
ajst-23751	111	7	distinguish	distinguish	VERB
ajst-23751	111	8	the	the	DET
ajst-23751	111	9	real	real	ADJ
ajst-23751	111	10	change	change	NOUN
ajst-23751	111	11	of	of	ADP
ajst-23751	111	12	momentum	momentum	NOUN
ajst-23751	111	13	from	from	ADP
ajst-23751	111	14	the	the	DET
ajst-23751	111	15	random	random	ADJ
ajst-23751	111	16	change	change	NOUN
ajst-23751	111	17	in	in	ADP
ajst-23751	111	18	the	the	DET
ajst-23751	111	19	game	game	NOUN
ajst-23751	111	20	,	,	PUNCT
ajst-23751	111	21	and	and	CCONJ
ajst-23751	111	22	it	it	PRON
ajst-23751	111	23	is	be	AUX
ajst-23751	111	24	difficult	difficult	ADJ
ajst-23751	111	25	for	for	SCONJ
ajst-23751	111	26	the	the	DET
ajst-23751	111	27	simple	simple	ADJ
ajst-23751	111	28	bp	bp	PROPN
ajst-23751	111	29	neural	neural	ADJ
ajst-23751	111	30	network	network	NOUN
ajst-23751	111	31	to	to	PART
ajst-23751	111	32	accurately	accurately	ADV
ajst-23751	111	33	predict	predict	VERB
ajst-23751	111	34	.	.	PUNCT
ajst-23751	112	1	therefore	therefore	ADV
ajst-23751	112	2	,	,	PUNCT
ajst-23751	112	3	this	this	DET
ajst-23751	112	4	paper	paper	NOUN
ajst-23751	112	5	optimizes	optimize	VERB
ajst-23751	112	6	the	the	DET
ajst-23751	112	7	weight	weight	NOUN
ajst-23751	112	8	and	and	CCONJ
ajst-23751	112	9	bias	bias	NOUN
ajst-23751	112	10	of	of	ADP
ajst-23751	112	11	bp	bp	PROPN
ajst-23751	112	12	neural	neural	ADJ
ajst-23751	112	13	network	network	NOUN
ajst-23751	112	14	by	by	ADP
ajst-23751	112	15	genetic	genetic	ADJ
ajst-23751	112	16	algorithm	algorithm	NOUN
ajst-23751	112	17	,	,	PUNCT
ajst-23751	112	18	so	so	SCONJ
ajst-23751	112	19	as	as	SCONJ
ajst-23751	112	20	to	to	PART
ajst-23751	112	21	improve	improve	VERB
ajst-23751	112	22	the	the	DET
ajst-23751	112	23	prediction	prediction	NOUN
ajst-23751	112	24	accuracy	accuracy	NOUN
ajst-23751	112	25	of	of	ADP
ajst-23751	112	26	tennis	tennis	NOUN
ajst-23751	112	27	match	match	NOUN
ajst-23751	112	28	dynamics	dynamic	NOUN
ajst-23751	112	29	[	[	X
ajst-23751	112	30	6	6	NUM
ajst-23751	112	31	]	]	PUNCT
ajst-23751	112	32	.	.	PUNCT
ajst-23751	113	1	after	after	ADP
ajst-23751	113	2	optimizing	optimize	VERB
ajst-23751	113	3	the	the	DET
ajst-23751	113	4	weight	weight	NOUN
ajst-23751	113	5	and	and	CCONJ
ajst-23751	113	6	bias	bias	NOUN
ajst-23751	113	7	of	of	ADP
ajst-23751	113	8	bp	bp	PROPN
ajst-23751	113	9	neural	neural	ADJ
ajst-23751	113	10	network	network	NOUN
ajst-23751	113	11	,	,	PUNCT
ajst-23751	113	12	using	use	VERB
ajst-23751	113	13	genetic	genetic	ADJ
ajst-23751	113	14	algorithm	algorithm	NOUN
ajst-23751	113	15	can	can	AUX
ajst-23751	113	16	significantly	significantly	ADV
ajst-23751	113	17	improve	improve	VERB
ajst-23751	113	18	the	the	DET
ajst-23751	113	19	performance	performance	NOUN
ajst-23751	113	20	of	of	ADP
ajst-23751	113	21	the	the	DET
ajst-23751	113	22	network	network	NOUN
ajst-23751	113	23	.	.	PUNCT
ajst-23751	114	1	by	by	ADP
ajst-23751	114	2	simulating	simulate	VERB
ajst-23751	114	3	the	the	DET
ajst-23751	114	4	process	process	NOUN
ajst-23751	114	5	of	of	ADP
ajst-23751	114	6	natural	natural	ADJ
ajst-23751	114	7	selection	selection	NOUN
ajst-23751	114	8	,	,	PUNCT
ajst-23751	114	9	genetic	genetic	ADJ
ajst-23751	114	10	algorithms	algorithm	NOUN
ajst-23751	114	11	allow	allow	VERB
ajst-23751	114	12	neural	neural	ADJ
ajst-23751	114	13	networks	network	NOUN
ajst-23751	114	14	to	to	PART
ajst-23751	114	15	explore	explore	VERB
ajst-23751	114	16	a	a	DET
ajst-23751	114	17	wider	wide	ADJ
ajst-23751	114	18	parameter	parameter	NOUN
ajst-23751	114	19	space	space	NOUN
ajst-23751	114	20	during	during	ADP
ajst-23751	114	21	training	training	NOUN
ajst-23751	114	22	.	.	PUNCT
ajst-23751	115	1	this	this	DET
ajst-23751	115	2	process	process	NOUN
ajst-23751	115	3	not	not	PART
ajst-23751	115	4	only	only	ADV
ajst-23751	115	5	reduces	reduce	VERB
ajst-23751	115	6	the	the	DET
ajst-23751	115	7	risk	risk	NOUN
ajst-23751	115	8	of	of	ADP
ajst-23751	115	9	falling	fall	VERB
ajst-23751	115	10	into	into	ADP
ajst-23751	115	11	local	local	ADJ
ajst-23751	115	12	optimality	optimality	NOUN
ajst-23751	115	13	,	,	PUNCT
ajst-23751	115	14	but	but	CCONJ
ajst-23751	115	15	also	also	ADV
ajst-23751	115	16	improves	improve	VERB
ajst-23751	115	17	the	the	DET
ajst-23751	115	18	network	network	NOUN
ajst-23751	115	19	's	's	PART
ajst-23751	115	20	ability	ability	NOUN
ajst-23751	115	21	to	to	PART
ajst-23751	115	22	generalize	generalize	VERB
ajst-23751	115	23	to	to	ADP
ajst-23751	115	24	unseen	unseen	ADJ
ajst-23751	115	25	data	datum	NOUN
ajst-23751	115	26	due	due	ADP
ajst-23751	115	27	to	to	ADP
ajst-23751	115	28	the	the	DET
ajst-23751	115	29	global	global	ADJ
ajst-23751	115	30	search	search	NOUN
ajst-23751	115	31	nature	nature	NOUN
ajst-23751	115	32	of	of	ADP
ajst-23751	115	33	genetic	genetic	ADJ
ajst-23751	115	34	algorithms	algorithm	NOUN
ajst-23751	115	35	.	.	PUNCT
ajst-23751	116	1	in	in	ADP
ajst-23751	116	2	addition	addition	NOUN
ajst-23751	116	3	,	,	PUNCT
ajst-23751	116	4	this	this	DET
ajst-23751	116	5	method	method	NOUN
ajst-23751	116	6	does	do	AUX
ajst-23751	116	7	not	not	PART
ajst-23751	116	8	require	require	VERB
ajst-23751	116	9	gradient	gradient	ADJ
ajst-23751	116	10	information	information	NOUN
ajst-23751	116	11	and	and	CCONJ
ajst-23751	116	12	improves	improve	VERB
ajst-23751	116	13	the	the	DET
ajst-23751	116	14	optimization	optimization	NOUN
ajst-23751	116	15	efficiency	efficiency	NOUN
ajst-23751	116	16	of	of	ADP
ajst-23751	116	17	the	the	DET
ajst-23751	116	18	algorithm	algorithm	NOUN
ajst-23751	116	19	.	.	PUNCT
ajst-23751	117	1	2.2.2	2.2.2	X
ajst-23751	117	2	.	.	PUNCT
ajst-23751	117	3	correlated	correlate	VERB
ajst-23751	117	4	factors	factor	NOUN
ajst-23751	117	5	are	be	AUX
ajst-23751	117	6	established	establish	VERB
ajst-23751	117	7	the	the	DET
ajst-23751	117	8	data	datum	NOUN
ajst-23751	117	9	entered	enter	VERB
ajst-23751	117	10	the	the	DET
ajst-23751	117	11	prediction	prediction	NOUN
ajst-23751	117	12	model	model	NOUN
ajst-23751	117	13	came	come	VERB
ajst-23751	117	14	from	from	ADP
ajst-23751	117	15	the	the	DET
ajst-23751	117	16	characteristics	characteristic	NOUN
ajst-23751	117	17	of	of	ADP
ajst-23751	117	18	roman	roman	ADJ
ajst-23751	117	19	safiullin	safiullin	NOUN
ajst-23751	117	20	during	during	ADP
ajst-23751	117	21	the	the	DET
ajst-23751	117	22	2023wimbledon-1503	2023wimbledon-1503	NUM
ajst-23751	117	23	tournament	tournament	NOUN
ajst-23751	117	24	.	.	PUNCT
ajst-23751	118	1	as	as	SCONJ
ajst-23751	118	2	shown	show	VERB
ajst-23751	118	3	in	in	ADP
ajst-23751	118	4	figure	figure	NOUN
ajst-23751	118	5	8	8	NUM
ajst-23751	118	6	,	,	PUNCT
ajst-23751	118	7	the	the	DET
ajst-23751	118	8	comparison	comparison	NOUN
ajst-23751	118	9	between	between	ADP
ajst-23751	118	10	the	the	DET
ajst-23751	118	11	predicted	predict	VERB
ajst-23751	118	12	value	value	NOUN
ajst-23751	118	13	and	and	CCONJ
ajst-23751	118	14	the	the	DET
ajst-23751	118	15	actual	actual	ADJ
ajst-23751	118	16	value	value	NOUN
ajst-23751	118	17	of	of	ADP
ajst-23751	118	18	the	the	DET
ajst-23751	118	19	model	model	NOUN
ajst-23751	118	20	output	output	NOUN
ajst-23751	118	21	.	.	PUNCT
ajst-23751	119	1	by	by	ADP
ajst-23751	119	2	observing	observe	VERB
ajst-23751	119	3	the	the	DET
ajst-23751	119	4	predicted	predict	VERB
ajst-23751	119	5	value	value	NOUN
ajst-23751	119	6	and	and	CCONJ
ajst-23751	119	7	the	the	DET
ajst-23751	119	8	actual	actual	ADJ
ajst-23751	119	9	value	value	NOUN
ajst-23751	119	10	,	,	PUNCT
ajst-23751	119	11	the	the	DET
ajst-23751	119	12	trend	trend	NOUN
ajst-23751	119	13	of	of	ADP
ajst-23751	119	14	the	the	DET
ajst-23751	119	15	two	two	NUM
ajst-23751	119	16	curves	curve	NOUN
ajst-23751	119	17	is	be	AUX
ajst-23751	119	18	roughly	roughly	ADV
ajst-23751	119	19	the	the	DET
ajst-23751	119	20	same	same	ADJ
ajst-23751	119	21	,	,	PUNCT
ajst-23751	119	22	and	and	CCONJ
ajst-23751	119	23	the	the	DET
ajst-23751	119	24	surface	surface	NOUN
ajst-23751	119	25	prediction	prediction	NOUN
ajst-23751	119	26	effect	effect	NOUN
ajst-23751	119	27	is	be	AUX
ajst-23751	119	28	better	well	ADJ
ajst-23751	119	29	.	.	PUNCT
ajst-23751	120	1	the	the	DET
ajst-23751	120	2	following	follow	VERB
ajst-23751	120	3	is	be	AUX
ajst-23751	120	4	the	the	DET
ajst-23751	120	5	data	datum	NOUN
ajst-23751	120	6	of	of	ADP
ajst-23751	120	7	2023wimbledon-1306	2023wimbledon-1306	NUM
ajst-23751	120	8	to	to	PART
ajst-23751	120	9	predict	predict	VERB
ajst-23751	120	10	tommy	tommy	PROPN
ajst-23751	120	11	paul	paul	PROPN
ajst-23751	120	12	's	's	PART
ajst-23751	120	13	momentum	momentum	NOUN
ajst-23751	120	14	swing	swing	NOUN
ajst-23751	120	15	,	,	PUNCT
ajst-23751	120	16	and	and	CCONJ
ajst-23751	120	17	to	to	PART
ajst-23751	120	18	judge	judge	VERB
ajst-23751	120	19	his	his	PRON
ajst-23751	120	20	on	on	ADP
ajst-23751	120	21	-	-	PUNCT
ajst-23751	120	22	court	court	NOUN
ajst-23751	120	23	performance	performance	NOUN
ajst-23751	120	24	and	and	CCONJ
ajst-23751	120	25	final	final	ADJ
ajst-23751	120	26	game	game	NOUN
ajst-23751	120	27	results	result	NOUN
ajst-23751	120	28	.	.	PUNCT
ajst-23751	121	1	figure	figure	NOUN
ajst-23751	121	2	9	9	NUM
ajst-23751	121	3	is	be	AUX
ajst-23751	121	4	his	his	PRON
ajst-23751	121	5	momentum	momentum	NOUN
ajst-23751	121	6	swing	swing	NOUN
ajst-23751	121	7	prediction	prediction	NOUN
ajst-23751	121	8	chart	chart	NOUN
ajst-23751	121	9	.	.	PUNCT
ajst-23751	122	1	figure	figure	VERB
ajst-23751	122	2	8	8	NUM
ajst-23751	122	3	.	.	PUNCT
ajst-23751	123	1	the	the	DET
ajst-23751	123	2	model	model	NOUN
ajst-23751	123	3	outputs	output	VERB
ajst-23751	123	4	a	a	DET
ajst-23751	123	5	comparison	comparison	NOUN
ajst-23751	123	6	of	of	ADP
ajst-23751	123	7	the	the	DET
ajst-23751	123	8	predicted	predict	VERB
ajst-23751	123	9	value	value	NOUN
ajst-23751	123	10	with	with	ADP
ajst-23751	123	11	the	the	DET
ajst-23751	123	12	actual	actual	ADJ
ajst-23751	123	13	value	value	NOUN
ajst-23751	123	14	figure	figure	NOUN
ajst-23751	123	15	9	9	NUM
ajst-23751	123	16	.	.	PUNCT
ajst-23751	124	1	the	the	DET
ajst-23751	124	2	model	model	NOUN
ajst-23751	124	3	outputs	output	VERB
ajst-23751	124	4	a	a	DET
ajst-23751	124	5	comparison	comparison	NOUN
ajst-23751	124	6	of	of	ADP
ajst-23751	124	7	the	the	DET
ajst-23751	124	8	predicted	predict	VERB
ajst-23751	124	9	value	value	NOUN
ajst-23751	124	10	with	with	ADP
ajst-23751	124	11	the	the	DET
ajst-23751	124	12	actual	actual	ADJ
ajst-23751	124	13	value	value	NOUN
ajst-23751	124	14	by	by	ADP
ajst-23751	124	15	looking	look	VERB
ajst-23751	124	16	at	at	ADP
ajst-23751	124	17	the	the	DET
ajst-23751	124	18	curve	curve	NOUN
ajst-23751	124	19	,	,	PUNCT
ajst-23751	124	20	the	the	DET
ajst-23751	124	21	model	model	NOUN
ajst-23751	124	22	predicts	predict	VERB
ajst-23751	124	23	fluctuations	fluctuation	NOUN
ajst-23751	124	24	in	in	ADP
ajst-23751	124	25	a	a	DET
ajst-23751	124	26	player	player	NOUN
ajst-23751	124	27	's	's	PART
ajst-23751	124	28	performance	performance	NOUN
ajst-23751	124	29	,	,	PUNCT
ajst-23751	124	30	like	like	ADP
ajst-23751	124	31	the	the	DET
ajst-23751	124	32	player	player	NOUN
ajst-23751	124	33	's	's	PART
ajst-23751	124	34	performance	performance	NOUN
ajst-23751	124	35	on	on	ADP
ajst-23751	124	36	the	the	DET
ajst-23751	124	37	field	field	NOUN
ajst-23751	124	38	,	,	PUNCT
ajst-23751	124	39	and	and	CCONJ
ajst-23751	124	40	his	his	PRON
ajst-23751	124	41	final	final	ADJ
ajst-23751	124	42	result	result	NOUN
ajst-23751	124	43	was	be	AUX
ajst-23751	124	44	a	a	DET
ajst-23751	124	45	loss	loss	NOUN
ajst-23751	124	46	,	,	PUNCT
ajst-23751	124	47	the	the	DET
ajst-23751	124	48	result	result	NOUN
ajst-23751	124	49	was	be	AUX
ajst-23751	124	50	consistent	consistent	ADJ
ajst-23751	124	51	.	.	PUNCT
ajst-23751	125	1	as	as	SCONJ
ajst-23751	125	2	can	can	AUX
ajst-23751	125	3	be	be	AUX
ajst-23751	125	4	seen	see	VERB
ajst-23751	125	5	from	from	ADP
ajst-23751	125	6	the	the	DET
ajst-23751	125	7	figure	figure	NOUN
ajst-23751	125	8	,	,	PUNCT
ajst-23751	125	9	his	his	PRON
ajst-23751	125	10	momentum	momentum	NOUN
ajst-23751	125	11	swing	swing	NOUN
ajst-23751	125	12	indicator	indicator	NOUN
ajst-23751	125	13	dropped	drop	VERB
ajst-23751	125	14	rapidly	rapidly	ADV
ajst-23751	125	15	in	in	ADP
ajst-23751	125	16	the	the	DET
ajst-23751	125	17	late	late	ADJ
ajst-23751	125	18	stage	stage	NOUN
ajst-23751	125	19	of	of	ADP
ajst-23751	125	20	the	the	DET
ajst-23751	125	21	game	game	NOUN
ajst-23751	125	22	,	,	PUNCT
ajst-23751	125	23	with	with	ADP
ajst-23751	125	24	large	large	ADJ
ajst-23751	125	25	fluctuations	fluctuation	NOUN
ajst-23751	125	26	,	,	PUNCT
ajst-23751	125	27	which	which	PRON
ajst-23751	125	28	had	have	VERB
ajst-23751	125	29	an	an	DET
ajst-23751	125	30	impact	impact	NOUN
ajst-23751	125	31	on	on	ADP
ajst-23751	125	32	the	the	DET
ajst-23751	125	33	result	result	NOUN
ajst-23751	125	34	.	.	PUNCT
ajst-23751	126	1	for	for	ADP
ajst-23751	126	2	the	the	DET
ajst-23751	126	3	trained	train	VERB
ajst-23751	126	4	gabp	gabp	NOUN
ajst-23751	126	5	neural	neural	ADJ
ajst-23751	126	6	network	network	NOUN
ajst-23751	126	7	prediction	prediction	NOUN
ajst-23751	126	8	model	model	NOUN
ajst-23751	126	9	,	,	PUNCT
ajst-23751	126	10	the	the	DET
ajst-23751	126	11	importance	importance	NOUN
ajst-23751	126	12	of	of	ADP
ajst-23751	126	13	input	input	NOUN
ajst-23751	126	14	features	feature	NOUN
ajst-23751	126	15	can	can	AUX
ajst-23751	126	16	be	be	AUX
ajst-23751	126	17	evaluated	evaluate	VERB
ajst-23751	126	18	by	by	ADP
ajst-23751	126	19	analyzing	analyze	VERB
ajst-23751	126	20	the	the	DET
ajst-23751	126	21	weight	weight	NOUN
ajst-23751	126	22	of	of	ADP
ajst-23751	126	23	the	the	DET
ajst-23751	126	24	hidden	hide	VERB
ajst-23751	126	25	layer	layer	NOUN
ajst-23751	126	26	.	.	PUNCT
ajst-23751	127	1	a	a	DET
ajst-23751	127	2	large	large	ADJ
ajst-23751	127	3	weight	weight	NOUN
ajst-23751	127	4	means	mean	VERB
ajst-23751	127	5	that	that	SCONJ
ajst-23751	127	6	the	the	DET
ajst-23751	127	7	relevant	relevant	ADJ
ajst-23751	127	8	features	feature	NOUN
ajst-23751	127	9	have	have	VERB
ajst-23751	127	10	a	a	DET
ajst-23751	127	11	greater	great	ADJ
ajst-23751	127	12	influence	influence	NOUN
ajst-23751	127	13	on	on	ADP
ajst-23751	127	14	the	the	DET
ajst-23751	127	15	model	model	NOUN
ajst-23751	127	16	output	output	NOUN
ajst-23751	127	17	.	.	PUNCT
ajst-23751	128	1	this	this	PRON
ajst-23751	128	2	means	mean	VERB
ajst-23751	128	3	that	that	SCONJ
ajst-23751	128	4	the	the	PRON
ajst-23751	128	5	greater	great	ADJ
ajst-23751	128	6	the	the	DET
ajst-23751	128	7	weight	weight	NOUN
ajst-23751	128	8	of	of	ADP
ajst-23751	128	9	the	the	DET
ajst-23751	128	10	input	input	NOUN
ajst-23751	128	11	features	feature	NOUN
ajst-23751	128	12	,	,	PUNCT
ajst-23751	128	13	the	the	PRON
ajst-23751	128	14	more	more	ADV
ajst-23751	128	15	relevant	relevant	ADJ
ajst-23751	128	16	it	it	PRON
ajst-23751	128	17	is	be	AUX
ajst-23751	128	18	to	to	ADP
ajst-23751	128	19	momentum	momentum	NOUN
ajst-23751	128	20	swing	swing	NOUN
ajst-23751	128	21	,	,	PUNCT
ajst-23751	128	22	which	which	PRON
ajst-23751	128	23	can	can	AUX
ajst-23751	128	24	be	be	AUX
ajst-23751	128	25	said	say	VERB
ajst-23751	128	26	to	to	PART
ajst-23751	128	27	be	be	AUX
ajst-23751	128	28	the	the	DET
ajst-23751	128	29	main	main	ADJ
ajst-23751	128	30	factor	factor	NOUN
ajst-23751	128	31	to	to	ADP
ajst-23751	128	32	some	some	DET
ajst-23751	128	33	extent	extent	NOUN
ajst-23751	128	34	.	.	PUNCT
ajst-23751	129	1	table	table	NOUN
ajst-23751	129	2	2	2	NUM
ajst-23751	129	3	is	be	AUX
ajst-23751	129	4	obtained	obtain	VERB
ajst-23751	129	5	from	from	ADP
ajst-23751	129	6	the	the	DET
ajst-23751	129	7	weight	weight	NOUN
ajst-23751	129	8	analysis	analysis	NOUN
ajst-23751	129	9	of	of	ADP
ajst-23751	129	10	the	the	DET
ajst-23751	129	11	gabp	gabp	NOUN
ajst-23751	129	12	neural	neural	ADJ
ajst-23751	129	13	network	network	NOUN
ajst-23751	129	14	.	.	PUNCT
ajst-23751	130	1	it	it	PRON
ajst-23751	130	2	can	can	AUX
ajst-23751	130	3	be	be	AUX
ajst-23751	130	4	seen	see	VERB
ajst-23751	130	5	from	from	ADP
ajst-23751	130	6	the	the	DET
ajst-23751	130	7	above	above	ADJ
ajst-23751	130	8	table	table	NOUN
ajst-23751	130	9	that	that	SCONJ
ajst-23751	130	10	match_time	match_time	NOUN
ajst-23751	130	11	has	have	VERB
ajst-23751	130	12	the	the	DET
ajst-23751	130	13	largest	large	ADJ
ajst-23751	130	14	weight	weight	NOUN
ajst-23751	130	15	,	,	PUNCT
ajst-23751	130	16	which	which	PRON
ajst-23751	130	17	is	be	AUX
ajst-23751	130	18	significantly	significantly	ADV
ajst-23751	130	19	different	different	ADJ
ajst-23751	130	20	from	from	ADP
ajst-23751	130	21	the	the	DET
ajst-23751	130	22	value	value	NOUN
ajst-23751	130	23	of	of	ADP
ajst-23751	130	24	the	the	DET
ajst-23751	130	25	second	second	ADJ
ajst-23751	130	26	weight	weight	NOUN
ajst-23751	130	27	,	,	PUNCT
ajst-23751	130	28	so	so	CCONJ
ajst-23751	130	29	match_time	match_time	NOUN
ajst-23751	130	30	can	can	AUX
ajst-23751	130	31	be	be	AUX
ajst-23751	130	32	considered	consider	VERB
ajst-23751	130	33	as	as	ADP
ajst-23751	130	34	the	the	DET
ajst-23751	130	35	main	main	ADJ
ajst-23751	130	36	factor	factor	NOUN
ajst-23751	130	37	.	.	PUNCT
ajst-23751	131	1	table	table	NOUN
ajst-23751	131	2	2	2	NUM
ajst-23751	131	3	.	.	PUNCT
ajst-23751	131	4	weight	weight	NOUN
ajst-23751	131	5	analysis	analysis	NOUN
ajst-23751	131	6	of	of	ADP
ajst-23751	131	7	gabp	gabp	PROPN
ajst-23751	131	8	neural	neural	ADJ
ajst-23751	131	9	networks	network	NOUN
ajst-23751	131	10	feature	feature	VERB
ajst-23751	131	11	index	index	NOUN
ajst-23751	131	12	weight	weight	NOUN
ajst-23751	131	13	match_time	match_time	PROPN
ajst-23751	131	14	13.01	13.01	NUM
ajst-23751	131	15	score_condition	score_condition	NOUN
ajst-23751	131	16	7.76	7.76	NUM
ajst-23751	131	17	server	server	NOUN
ajst-23751	131	18	7.32	7.32	NUM
ajst-23751	131	19	current_score	current_score	NOUN
ajst-23751	131	20	6.52	6.52	NUM
ajst-23751	131	21	time_period	time_period	NOUN
ajst-23751	131	22	6.01	6.01	NUM
ajst-23751	131	23	player_condition	player_condition	NOUN
ajst-23751	131	24	9.50	9.50	NUM
ajst-23751	131	25	score_gap	score_gap	NUM
ajst-23751	131	26	4.43	4.43	NUM
ajst-23751	131	27	set_gap	set_gap	NOUN
ajst-23751	131	28	8.36	8.36	NUM
ajst-23751	131	29	service_game_count	service_game_count	NOUN
ajst-23751	131	30	5.99	5.99	NUM
ajst-23751	131	31	according	accord	VERB
ajst-23751	131	32	to	to	ADP
ajst-23751	131	33	the	the	DET
ajst-23751	131	34	predicted	predict	VERB
ajst-23751	131	35	player	player	NOUN
ajst-23751	131	36	performance	performance	NOUN
ajst-23751	131	37	:	:	PUNCT
ajst-23751	131	38	through	through	ADP
ajst-23751	131	39	weight	weight	NOUN
ajst-23751	131	40	analysis	analysis	NOUN
ajst-23751	131	41	,	,	PUNCT
ajst-23751	131	42	the	the	DET
ajst-23751	131	43	game	game	NOUN
ajst-23751	131	44	time	time	NOUN
ajst-23751	131	45	has	have	VERB
ajst-23751	131	46	the	the	DET
ajst-23751	131	47	greatest	great	ADJ
ajst-23751	131	48	impact	impact	NOUN
ajst-23751	131	49	on	on	ADP
ajst-23751	131	50	it	it	PRON
ajst-23751	131	51	,	,	PUNCT
ajst-23751	131	52	followed	follow	VERB
ajst-23751	131	53	by	by	ADP
ajst-23751	131	54	the	the	DET
ajst-23751	131	55	player	player	NOUN
ajst-23751	131	56	's	's	PART
ajst-23751	131	57	state	state	NOUN
ajst-23751	131	58	.	.	PUNCT
ajst-23751	132	1	therefore	therefore	ADV
ajst-23751	132	2	,	,	PUNCT
ajst-23751	132	3	it	it	PRON
ajst-23751	132	4	is	be	AUX
ajst-23751	132	5	suggested	suggest	VERB
ajst-23751	132	6	to	to	PART
ajst-23751	132	7	improve	improve	VERB
ajst-23751	132	8	the	the	DET
ajst-23751	132	9	physical	physical	ADJ
ajst-23751	132	10	quality	quality	NOUN
ajst-23751	132	11	of	of	ADP
ajst-23751	132	12	players	player	NOUN
ajst-23751	132	13	,	,	PUNCT
ajst-23751	132	14	reduce	reduce	VERB
ajst-23751	132	15	the	the	DET
ajst-23751	132	16	sharp	sharp	ADJ
ajst-23751	132	17	decline	decline	NOUN
ajst-23751	132	18	in	in	ADP
ajst-23751	132	19	physical	physical	ADJ
ajst-23751	132	20	state	state	NOUN
ajst-23751	132	21	caused	cause	VERB
ajst-23751	132	22	by	by	ADP
ajst-23751	132	23	long	long	ADJ
ajst-23751	132	24	-	-	PUNCT
ajst-23751	132	25	term	term	NOUN
ajst-23751	132	26	interaction	interaction	NOUN
ajst-23751	132	27	with	with	ADP
ajst-23751	132	28	opponents	opponent	NOUN
ajst-23751	132	29	,	,	PUNCT
ajst-23751	132	30	and	and	CCONJ
ajst-23751	132	31	pay	pay	VERB
ajst-23751	132	32	attention	attention	NOUN
ajst-23751	132	33	to	to	ADP
ajst-23751	132	34	psychological	psychological	ADJ
ajst-23751	132	35	construction	construction	NOUN
ajst-23751	132	36	during	during	ADP
ajst-23751	132	37	the	the	DET
ajst-23751	132	38	game	game	NOUN
ajst-23751	132	39	.	.	PUNCT
ajst-23751	133	1	comprehensive	comprehensive	ADJ
ajst-23751	133	2	analysis	analysis	NOUN
ajst-23751	133	3	,	,	PUNCT
ajst-23751	133	4	maintaining	maintain	VERB
ajst-23751	133	5	a	a	DET
ajst-23751	133	6	good	good	ADJ
ajst-23751	133	7	mental	mental	ADJ
ajst-23751	133	8	and	and	CCONJ
ajst-23751	133	9	physical	physical	ADJ
ajst-23751	133	10	state	state	NOUN
ajst-23751	133	11	is	be	AUX
ajst-23751	133	12	the	the	DET
ajst-23751	133	13	key	key	NOUN
ajst-23751	133	14	to	to	ADP
ajst-23751	133	15	winning	win	VERB
ajst-23751	133	16	.	.	PUNCT
ajst-23751	134	1	238	238	NUM
ajst-23751	134	2	3	3	NUM
ajst-23751	134	3	.	.	PUNCT
ajst-23751	134	4	conclusion	conclusion	NOUN
ajst-23751	134	5	firstly	firstly	ADV
ajst-23751	134	6	,	,	PUNCT
ajst-23751	134	7	it	it	PRON
ajst-23751	134	8	scientifically	scientifically	ADV
ajst-23751	134	9	analyses	analyse	VERB
ajst-23751	134	10	the	the	DET
ajst-23751	134	11	"	"	PUNCT
ajst-23751	134	12	momentum	momentum	NOUN
ajst-23751	134	13	"	"	PUNCT
ajst-23751	134	14	of	of	ADP
ajst-23751	134	15	tennis	tennis	NOUN
ajst-23751	134	16	matches	match	NOUN
ajst-23751	134	17	and	and	CCONJ
ajst-23751	134	18	its	its	PRON
ajst-23751	134	19	important	important	ADJ
ajst-23751	134	20	influence	influence	NOUN
ajst-23751	134	21	on	on	ADP
ajst-23751	134	22	the	the	DET
ajst-23751	134	23	match	match	NOUN
ajst-23751	134	24	results	result	NOUN
ajst-23751	134	25	.	.	PUNCT
ajst-23751	135	1	secondly	secondly	ADV
ajst-23751	135	2	,	,	PUNCT
ajst-23751	135	3	the	the	DET
ajst-23751	135	4	key	key	ADJ
ajst-23751	135	5	indicators	indicator	NOUN
ajst-23751	135	6	affecting	affect	VERB
ajst-23751	135	7	players	player	NOUN
ajst-23751	135	8	'	'	PART
ajst-23751	135	9	performance	performance	NOUN
ajst-23751	135	10	were	be	AUX
ajst-23751	135	11	effectively	effectively	ADV
ajst-23751	135	12	screened	screen	VERB
ajst-23751	135	13	,	,	PUNCT
ajst-23751	135	14	providing	provide	VERB
ajst-23751	135	15	a	a	DET
ajst-23751	135	16	more	more	ADV
ajst-23751	135	17	accurate	accurate	ADJ
ajst-23751	135	18	assessment	assessment	NOUN
ajst-23751	135	19	tool	tool	NOUN
ajst-23751	135	20	;	;	PUNCT
ajst-23751	135	21	the	the	DET
ajst-23751	135	22	correlation	correlation	NOUN
ajst-23751	135	23	between	between	ADP
ajst-23751	135	24	momentum	momentum	NOUN
ajst-23751	135	25	and	and	CCONJ
ajst-23751	135	26	winning	win	VERB
ajst-23751	135	27	streak	streak	NOUN
ajst-23751	135	28	was	be	AUX
ajst-23751	135	29	explored	explore	VERB
ajst-23751	135	30	in	in	ADP
ajst-23751	135	31	depth	depth	NOUN
ajst-23751	135	32	,	,	PUNCT
ajst-23751	135	33	improving	improve	VERB
ajst-23751	135	34	the	the	DET
ajst-23751	135	35	accuracy	accuracy	NOUN
ajst-23751	135	36	of	of	ADP
ajst-23751	135	37	match	match	NOUN
ajst-23751	135	38	trend	trend	NOUN
ajst-23751	135	39	prediction	prediction	NOUN
ajst-23751	135	40	.	.	PUNCT
ajst-23751	136	1	future	future	ADJ
ajst-23751	136	2	research	research	NOUN
ajst-23751	136	3	should	should	AUX
ajst-23751	136	4	expand	expand	VERB
ajst-23751	136	5	the	the	DET
ajst-23751	136	6	sample	sample	NOUN
ajst-23751	136	7	size	size	NOUN
ajst-23751	136	8	,	,	PUNCT
ajst-23751	136	9	consider	consider	VERB
ajst-23751	136	10	the	the	DET
ajst-23751	136	11	effects	effect	NOUN
ajst-23751	136	12	of	of	ADP
ajst-23751	136	13	different	different	ADJ
ajst-23751	136	14	venues	venue	NOUN
ajst-23751	136	15	and	and	CCONJ
ajst-23751	136	16	environments	environment	NOUN
ajst-23751	136	17	on	on	ADP
ajst-23751	136	18	momentum	momentum	NOUN
ajst-23751	136	19	,	,	PUNCT
ajst-23751	136	20	and	and	CCONJ
ajst-23751	136	21	study	study	VERB
ajst-23751	136	22	the	the	DET
ajst-23751	136	23	adaptability	adaptability	NOUN
ajst-23751	136	24	of	of	ADP
ajst-23751	136	25	different	different	ADJ
ajst-23751	136	26	players	player	NOUN
ajst-23751	136	27	to	to	PART
ajst-23751	136	28	changes	change	NOUN
ajst-23751	136	29	in	in	ADP
ajst-23751	136	30	momentum	momentum	NOUN
ajst-23751	136	31	by	by	ADP
ajst-23751	136	32	combining	combine	VERB
ajst-23751	136	33	actual	actual	ADJ
ajst-23751	136	34	game	game	NOUN
ajst-23751	136	35	data	datum	NOUN
ajst-23751	136	36	and	and	CCONJ
ajst-23751	136	37	player	player	NOUN
ajst-23751	136	38	characteristics	characteristic	NOUN
ajst-23751	136	39	.	.	PUNCT
ajst-23751	137	1	optimizing	optimize	VERB
ajst-23751	137	2	the	the	DET
ajst-23751	137	3	neural	neural	ADJ
ajst-23751	137	4	network	network	NOUN
ajst-23751	137	5	model	model	NOUN
ajst-23751	137	6	and	and	CCONJ
ajst-23751	137	7	algorithm	algorithm	NOUN
ajst-23751	137	8	can	can	AUX
ajst-23751	137	9	improve	improve	VERB
ajst-23751	137	10	the	the	DET
ajst-23751	137	11	prediction	prediction	NOUN
ajst-23751	137	12	accuracy	accuracy	NOUN
ajst-23751	137	13	,	,	PUNCT
ajst-23751	137	14	deepen	deepen	VERB
ajst-23751	137	15	the	the	DET
ajst-23751	137	16	understanding	understanding	NOUN
ajst-23751	137	17	of	of	ADP
ajst-23751	137	18	the	the	DET
ajst-23751	137	19	mechanism	mechanism	NOUN
ajst-23751	137	20	of	of	ADP
ajst-23751	137	21	momentum	momentum	NOUN
ajst-23751	137	22	in	in	ADP
ajst-23751	137	23	tennis	tennis	NOUN
ajst-23751	137	24	,	,	PUNCT
ajst-23751	137	25	and	and	CCONJ
ajst-23751	137	26	provide	provide	VERB
ajst-23751	137	27	more	more	ADJ
ajst-23751	137	28	scientific	scientific	ADJ
ajst-23751	137	29	guidance	guidance	NOUN
ajst-23751	137	30	for	for	ADP
ajst-23751	137	31	athlete	athlete	NOUN
ajst-23751	137	32	training	training	NOUN
ajst-23751	137	33	and	and	CCONJ
ajst-23751	137	34	game	game	NOUN
ajst-23751	137	35	management	management	NOUN
ajst-23751	137	36	.	.	PUNCT
ajst-23751	138	1	this	this	DET
ajst-23751	138	2	study	study	NOUN
ajst-23751	138	3	is	be	AUX
ajst-23751	138	4	expected	expect	VERB
ajst-23751	138	5	to	to	PART
ajst-23751	138	6	advance	advance	VERB
ajst-23751	138	7	the	the	DET
ajst-23751	138	8	application	application	NOUN
ajst-23751	138	9	of	of	ADP
ajst-23751	138	10	data	datum	NOUN
ajst-23751	138	11	analytics	analytic	NOUN
ajst-23751	138	12	and	and	CCONJ
ajst-23751	138	13	mathematical	mathematical	ADJ
ajst-23751	138	14	modelling	modelling	NOUN
ajst-23751	138	15	in	in	ADP
ajst-23751	138	16	sports	sport	NOUN
ajst-23751	138	17	science	science	NOUN
ajst-23751	138	18	to	to	PART
ajst-23751	138	19	support	support	VERB
ajst-23751	138	20	the	the	DET
ajst-23751	138	21	improvement	improvement	NOUN
ajst-23751	138	22	of	of	ADP
ajst-23751	138	23	athlete	athlete	NOUN
ajst-23751	138	24	performance	performance	NOUN
ajst-23751	138	25	and	and	CCONJ
ajst-23751	138	26	competition	competition	NOUN
ajst-23751	138	27	.	.	PUNCT
ajst-23751	139	1	references	reference	NOUN
ajst-23751	139	2	[	[	X
ajst-23751	139	3	1	1	X
ajst-23751	139	4	]	]	PUNCT
ajst-23751	139	5	wang	wang	PROPN
ajst-23751	139	6	yongmin	yongmin	PROPN
ajst-23751	139	7	,	,	PUNCT
ajst-23751	139	8	li	li	PROPN
ajst-23751	139	9	jing	jing	PROPN
ajst-23751	139	10	.	.	PUNCT
ajst-23751	140	1	research	research	NOUN
ajst-23751	140	2	on	on	ADP
ajst-23751	140	3	the	the	DET
ajst-23751	140	4	influence	influence	NOUN
ajst-23751	140	5	of	of	ADP
ajst-23751	140	6	tennis	tennis	NOUN
ajst-23751	140	7	players	player	NOUN
ajst-23751	140	8	'	'	PART
ajst-23751	140	9	psychological	psychological	ADJ
ajst-23751	140	10	factors	factor	NOUN
ajst-23751	140	11	on	on	ADP
ajst-23751	140	12	tournament	tournament	ADJ
ajst-23751	140	13	performance[j	performance[j	NOUN
ajst-23751	140	14	]	]	PUNCT
ajst-23751	140	15	.	.	PUNCT
ajst-23751	141	1	sports	sport	NOUN
ajst-23751	141	2	world,2024	world,2024	PROPN
ajst-23751	141	3	,	,	PUNCT
ajst-23751	141	4	(	(	PUNCT
ajst-23751	141	5	04):121	04):121	NUM
ajst-23751	141	6	-	-	SYM
ajst-23751	141	7	123	123	NUM
ajst-23751	141	8	.	.	PUNCT
ajst-23751	142	1	[	[	X
ajst-23751	142	2	2	2	X
ajst-23751	142	3	]	]	X
ajst-23751	142	4	gao	gao	PROPN
ajst-23751	142	5	qiang	qiang	PROPN
ajst-23751	142	6	,	,	PUNCT
ajst-23751	142	7	gao	gao	PROPN
ajst-23751	142	8	jingyang	jingyang	PROPN
ajst-23751	142	9	,	,	PUNCT
ajst-23751	142	10	zhao	zhao	PROPN
ajst-23751	142	11	di.gnni	di.gnni	PROPN
ajst-23751	142	12	u	u	PROPN
ajst-23751	142	13	-	-	NOUN
ajst-23751	142	14	net	net	ADJ
ajst-23751	142	15	:	:	PUNCT
ajst-23751	142	16	accurate	accurate	ADJ
ajst-23751	142	17	segmentation	segmentation	NOUN
ajst-23751	142	18	network	network	NOUN
ajst-23751	142	19	for	for	ADP
ajst-23751	142	20	mri	mri	NOUN
ajst-23751	142	21	left	leave	VERB
ajst-23751	142	22	ventricular	ventricular	ADJ
ajst-23751	142	23	contour	contour	NOUN
ajst-23751	142	24	based	base	VERB
ajst-23751	142	25	on	on	ADP
ajst-23751	142	26	group	group	NOUN
ajst-23751	142	27	normalisation	normalisation	NOUN
ajst-23751	142	28	and	and	CCONJ
ajst-23751	142	29	nearest	near	ADJ
ajst-23751	142	30	neighbour	neighbour	PROPN
ajst-23751	142	31	interpolation[j	interpolation[j	PROPN
ajst-23751	142	32	]	]	PUNCT
ajst-23751	142	33	.	.	PUNCT
ajst-23751	143	1	computer	computer	NOUN
ajst-23751	143	2	science,2020,47(08):213	science,2020,47(08):213	PROPN
ajst-23751	143	3	-	-	NOUN
ajst-23751	143	4	220	220	NUM
ajst-23751	143	5	.	.	PUNCT
ajst-23751	144	1	[	[	X
ajst-23751	144	2	3	3	X
ajst-23751	144	3	]	]	X
ajst-23751	144	4	jiang	jiang	PROPN
ajst-23751	144	5	zhongqing	zhongqing	PROPN
ajst-23751	144	6	,	,	PUNCT
ajst-23751	144	7	zhang	zhang	PROPN
ajst-23751	144	8	yue	yue	PROPN
ajst-23751	144	9	,	,	PUNCT
ajst-23751	144	10	zhou	zhou	PROPN
ajst-23751	144	11	yi	yi	PROPN
ajst-23751	144	12	,	,	PUNCT
ajst-23751	144	13	et	et	PROPN
ajst-23751	144	14	al	al	PROPN
ajst-23751	144	15	.	.	PUNCT
ajst-23751	144	16	determination	determination	NOUN
ajst-23751	144	17	method	method	NOUN
ajst-23751	144	18	of	of	ADP
ajst-23751	144	19	abnormal	abnormal	ADJ
ajst-23751	144	20	runoff	runoff	NOUN
ajst-23751	144	21	volume	volume	NOUN
ajst-23751	144	22	by	by	ADP
ajst-23751	144	23	linking	link	VERB
ajst-23751	144	24	signal	signal	ADJ
ajst-23751	144	25	processing	processing	NOUN
ajst-23751	144	26	technique	technique	NOUN
ajst-23751	144	27	and	and	CCONJ
ajst-23751	144	28	residual	residual	ADJ
ajst-23751	144	29	analysis[j	analysis[j	PROPN
ajst-23751	144	30	]	]	PUNCT
ajst-23751	144	31	.	.	PUNCT
ajst-23751	145	1	jilin	jilin	PROPN
ajst-23751	145	2	water	water	PROPN
ajst-23751	145	3	resources	resource	NOUN
ajst-23751	145	4	,	,	PUNCT
ajst-23751	145	5	2024	2024	NUM
ajst-23751	145	6	,	,	PUNCT
ajst-23751	145	7	(	(	PUNCT
ajst-23751	145	8	04):37	04):37	NUM
ajst-23751	145	9	-	-	SYM
ajst-23751	145	10	41	41	NUM
ajst-23751	145	11	.	.	PUNCT
ajst-23751	146	1	doi:10.15920	doi:10.15920	NOUN
ajst-23751	146	2	/	/	SYM
ajst-23751	146	3	j.cnki.221179	j.cnki.221179	PROPN
ajst-23751	146	4	/	/	SYM
ajst-23751	146	5	tv.2024.04.006	tv.2024.04.006	NOUN
ajst-23751	146	6	.	.	PUNCT
ajst-23751	147	1	[	[	X
ajst-23751	147	2	4	4	X
ajst-23751	147	3	]	]	PUNCT
ajst-23751	147	4	p.	p.	PROPN
ajst-23751	147	5	tu	tu	PROPN
ajst-23751	147	6	,	,	PUNCT
ajst-23751	147	7	y.	y.	PROPN
ajst-23751	147	8	xiong	xiong	PROPN
ajst-23751	147	9	,	,	PUNCT
ajst-23751	147	10	y.	y.	PROPN
ajst-23751	147	11	wu	wu	PROPN
ajst-23751	147	12	,	,	PUNCT
ajst-23751	147	13	et	et	PROPN
ajst-23751	147	14	al	al	PROPN
ajst-23751	147	15	.	.	PUNCT
ajst-23751	148	1	a	a	DET
ajst-23751	148	2	filtering	filter	VERB
ajst-23751	148	3	algorithm	algorithm	NOUN
ajst-23751	148	4	for	for	ADP
ajst-23751	148	5	suppressing	suppress	VERB
ajst-23751	148	6	direction	direction	NOUN
ajst-23751	148	7	finding	finding	NOUN
ajst-23751	148	8	anomalies	anomaly	NOUN
ajst-23751	148	9	based	base	VERB
ajst-23751	148	10	on	on	ADP
ajst-23751	148	11	chi	chi	ADJ
ajst-23751	148	12	-	-	PUNCT
ajst-23751	148	13	square	square	ADJ
ajst-23751	148	14	test	test	NOUN
ajst-23751	149	1	[	[	X
ajst-23751	149	2	j	j	X
ajst-23751	149	3	]	]	X
ajst-23751	149	4	.	.	PUNCT
ajst-23751	150	1	electroacoustic	electroacoustic	ADJ
ajst-23751	150	2	technology,2023,47(06):148	technology,2023,47(06):148	PROPN
ajst-23751	150	3	-	-	SYM
ajst-23751	150	4	152	152	NUM
ajst-23751	150	5	.	.	PUNCT
ajst-23751	151	1	doi	doi	NOUN
ajst-23751	151	2	:	:	PUNCT
ajst-23751	151	3	10	10	NUM
ajst-23751	151	4	.	.	X
ajst-23751	151	5	16311/	16311/	NUM
ajst-23751	151	6	j.	j.	PROPN
ajst-23751	151	7	audioe.2023.06.043	audioe.2023.06.043	PROPN
ajst-23751	151	8	.	.	PUNCT
ajst-23751	152	1	[	[	X
ajst-23751	152	2	5	5	X
ajst-23751	152	3	]	]	PUNCT
ajst-23751	152	4	qingxin	qingxin	PROPN
ajst-23751	152	5	he	he	PRON
ajst-23751	152	6	,	,	PUNCT
ajst-23751	152	7	chuanfa	chuanfa	PROPN
ajst-23751	152	8	chen	chen	PROPN
ajst-23751	152	9	,	,	PUNCT
ajst-23751	152	10	yuhui	yuhui	PROPN
ajst-23751	152	11	wang	wang	PROPN
ajst-23751	152	12	,	,	PUNCT
ajst-23751	152	13	et	et	PROPN
ajst-23751	152	14	al	al	PROPN
ajst-23751	152	15	.	.	PUNCT
ajst-23751	153	1	a	a	DET
ajst-23751	153	2	fusion	fusion	NOUN
ajst-23751	153	3	method	method	NOUN
ajst-23751	153	4	for	for	ADP
ajst-23751	153	5	multi	multi	ADJ
ajst-23751	153	6	-	-	ADJ
ajst-23751	153	7	source	source	NOUN
ajst-23751	153	8	remote	remote	ADJ
ajst-23751	153	9	sensing	sense	VERB
ajst-23751	153	10	daily	daily	ADJ
ajst-23751	153	11	precipitation	precipitation	NOUN
ajst-23751	153	12	data	datum	NOUN
ajst-23751	153	13	:	:	PUNCT
ajst-23751	153	14	a	a	DET
ajst-23751	153	15	random	random	ADJ
ajst-23751	153	16	forest	forest	NOUN
ajst-23751	153	17	model	model	NOUN
ajst-23751	153	18	with	with	ADP
ajst-23751	153	19	consideration	consideration	NOUN
ajst-23751	153	20	of	of	ADP
ajst-23751	153	21	spatial	spatial	ADJ
ajst-23751	153	22	autocorrelation[j	autocorrelation[j	PROPN
ajst-23751	153	23	]	]	PUNCT
ajst-23751	153	24	.	.	PUNCT
ajst-23751	154	1	journal	journal	PROPN
ajst-23751	154	2	of	of	ADP
ajst-23751	154	3	geo	geo	PROPN
ajst-23751	154	4	-	-	PUNCT
ajst-23751	154	5	information	information	NOUN
ajst-23751	154	6	science	science	NOUN
ajst-23751	154	7	,	,	PUNCT
ajst-23751	154	8	2024	2024	NUM
ajst-23751	154	9	,	,	PUNCT
ajst-23751	154	10	26	26	NUM
ajst-23751	154	11	(	(	PUNCT
ajst-23751	154	12	06):1517	06):1517	NOUN
ajst-23751	154	13	-	-	SYM
ajst-23751	154	14	1530	1530	NUM
ajst-23751	154	15	.	.	PUNCT
ajst-23751	155	1	[	[	X
ajst-23751	155	2	6	6	NUM
ajst-23751	155	3	]	]	PUNCT
ajst-23751	155	4	saghi	saghi	PROPN
ajst-23751	155	5	h	h	PROPN
ajst-23751	155	6	,	,	PUNCT
ajst-23751	155	7	nezhad	nezhad	VERB
ajst-23751	155	8	s	s	PRON
ajst-23751	155	9	r	r	NOUN
ajst-23751	155	10	m	m	PROPN
ajst-23751	155	11	,	,	PUNCT
ajst-23751	155	12	saghi	saghi	PROPN
ajst-23751	155	13	r	r	NOUN
ajst-23751	155	14	,	,	PUNCT
ajst-23751	155	15	et	et	PROPN
ajst-23751	155	16	al	al	PROPN
ajst-23751	155	17	.	.	PROPN
ajst-23751	155	18	comparison	comparison	NOUN
ajst-23751	155	19	of	of	ADP
ajst-23751	155	20	artificial	artificial	ADJ
ajst-23751	155	21	neural	neural	ADJ
ajst-23751	155	22	networks	network	NOUN
ajst-23751	155	23	and	and	CCONJ
ajst-23751	155	24	genetic	genetic	ADJ
ajst-23751	155	25	algorithms	algorithm	NOUN
ajst-23751	155	26	for	for	ADP
ajst-23751	155	27	prediction	prediction	NOUN
ajst-23751	155	28	of	of	ADP
ajst-23751	155	29	liquid	liquid	ADJ
ajst-23751	155	30	wakes	wake	NOUN
ajst-23751	155	31	parameters	parameter	NOUN
ajst-23751	155	32	(	(	PUNCT
ajst-23751	155	33	in	in	ADP
ajst-23751	155	34	english)[j].journal	english)[j].journal	NOUN
ajst-23751	155	35	of	of	ADP
ajst-23751	155	36	marine	marine	ADJ
ajst-23751	155	37	science	science	NOUN
ajst-23751	155	38	and	and	CCONJ
ajst-23751	155	39	application,2024,23(02):292	application,2024,23(02):292	PROPN
ajst-23751	155	40	-	-	PUNCT
ajst-23751	155	41	301	301	NUM
ajst-23751	155	42	.	.	PUNCT