id	sid	tid	token	lemma	pos
ajst-23758	1	1	academic	academic	ADJ
ajst-23758	1	2	journal	journal	NOUN
ajst-23758	1	3	of	of	ADP
ajst-23758	1	4	science	science	NOUN
ajst-23758	1	5	and	and	CCONJ
ajst-23758	1	6	technology	technology	NOUN
ajst-23758	1	7	issn	issn	NOUN
ajst-23758	1	8	:	:	PUNCT
ajst-23758	1	9	2771	2771	NUM
ajst-23758	1	10	-	-	SYM
ajst-23758	1	11	3032	3032	NUM
ajst-23758	1	12	|	|	NOUN
ajst-23758	1	13	vol	vol	NOUN
ajst-23758	1	14	.	.	PROPN
ajst-23758	2	1	11	11	NUM
ajst-23758	2	2	,	,	PUNCT
ajst-23758	2	3	no	no	INTJ
ajst-23758	2	4	.	.	NOUN
ajst-23758	2	5	3	3	NUM
ajst-23758	2	6	,	,	PUNCT
ajst-23758	2	7	2024	2024	NUM
ajst-23758	2	8	255	255	NUM
ajst-23758	2	9	research	research	NOUN
ajst-23758	2	10	on	on	ADP
ajst-23758	2	11	the	the	DET
ajst-23758	2	12	prediction	prediction	NOUN
ajst-23758	2	13	of	of	ADP
ajst-23758	2	14	tennis	tennis	NOUN
ajst-23758	2	15	match	match	NOUN
ajst-23758	2	16	momentum	momentum	NOUN
ajst-23758	2	17	based	base	VERB
ajst-23758	2	18	on	on	ADP
ajst-23758	2	19	bp	bp	PROPN
ajst-23758	2	20	neural	neural	ADJ
ajst-23758	2	21	network	network	NOUN
ajst-23758	2	22	and	and	CCONJ
ajst-23758	2	23	linear	linear	PROPN
ajst-23758	2	24	regression	regression	NOUN
ajst-23758	2	25	analysis	analysis	NOUN
ajst-23758	2	26	jiaqi	jiaqi	PROPN
ajst-23758	2	27	guo	guo	PROPN
ajst-23758	2	28	1	1	NUM
ajst-23758	2	29	,	,	PUNCT
ajst-23758	2	30	jianju	jianju	PROPN
ajst-23758	2	31	zhang	zhang	PROPN
ajst-23758	2	32	1	1	NUM
ajst-23758	2	33	,	,	PUNCT
ajst-23758	2	34	zhong	zhong	PROPN
ajst-23758	2	35	wang	wang	PROPN
ajst-23758	2	36	1	1	NUM
ajst-23758	2	37	,	,	PUNCT
ajst-23758	2	38	xingrong	xingrong	PROPN
ajst-23758	2	39	zheng	zheng	PROPN
ajst-23758	2	40	1	1	NUM
ajst-23758	2	41	,	,	PUNCT
ajst-23758	2	42	*	*	PROPN
ajst-23758	2	43	,	,	PUNCT
ajst-23758	2	44	kaiqiang	kaiqiang	PROPN
ajst-23758	2	45	xie	xie	PROPN
ajst-23758	2	46	2	2	NUM
ajst-23758	2	47	1	1	NUM
ajst-23758	2	48	faculty	faculty	NOUN
ajst-23758	2	49	of	of	ADP
ajst-23758	2	50	new	new	ADJ
ajst-23758	2	51	energy	energy	NOUN
ajst-23758	2	52	,	,	PUNCT
ajst-23758	2	53	university	university	NOUN
ajst-23758	2	54	of	of	ADP
ajst-23758	2	55	longdong	longdong	PROPN
ajst-23758	2	56	,	,	PUNCT
ajst-23758	2	57	qingyang	qingyang	PROPN
ajst-23758	2	58	,	,	PUNCT
ajst-23758	2	59	china	china	PROPN
ajst-23758	2	60	2	2	NUM
ajst-23758	2	61	school	school	NOUN
ajst-23758	2	62	of	of	ADP
ajst-23758	2	63	materials	material	NOUN
ajst-23758	2	64	engineering	engineering	NOUN
ajst-23758	2	65	,	,	PUNCT
ajst-23758	2	66	shanghai	shanghai	PROPN
ajst-23758	2	67	university	university	PROPN
ajst-23758	2	68	of	of	ADP
ajst-23758	2	69	engineering	engineering	NOUN
ajst-23758	2	70	science	science	PROPN
ajst-23758	2	71	,	,	PUNCT
ajst-23758	2	72	shanghai	shanghai	PROPN
ajst-23758	2	73	,	,	PUNCT
ajst-23758	2	74	china	china	PROPN
ajst-23758	2	75	*	*	PUNCT
ajst-23758	2	76	corresponding	correspond	VERB
ajst-23758	2	77	author	author	NOUN
ajst-23758	2	78	:	:	PUNCT
ajst-23758	2	79	xingrong	xingrong	PROPN
ajst-23758	2	80	zheng	zheng	PROPN
ajst-23758	2	81	abstract	abstract	PROPN
ajst-23758	2	82	:	:	PUNCT
ajst-23758	2	83	this	this	DET
ajst-23758	2	84	study	study	NOUN
ajst-23758	2	85	conducted	conduct	VERB
ajst-23758	2	86	an	an	DET
ajst-23758	2	87	in	in	ADP
ajst-23758	2	88	-	-	PUNCT
ajst-23758	2	89	depth	depth	NOUN
ajst-23758	2	90	analysis	analysis	NOUN
ajst-23758	2	91	of	of	ADP
ajst-23758	2	92	the	the	DET
ajst-23758	2	93	momentum	momentum	NOUN
ajst-23758	2	94	shift	shift	NOUN
ajst-23758	2	95	phenomenon	phenomenon	NOUN
ajst-23758	2	96	during	during	ADP
ajst-23758	2	97	the	the	DET
ajst-23758	2	98	men	man	NOUN
ajst-23758	2	99	's	's	PART
ajst-23758	2	100	singles	single	NOUN
ajst-23758	2	101	matches	match	NOUN
ajst-23758	2	102	at	at	ADP
ajst-23758	2	103	the	the	DET
ajst-23758	2	104	2023	2023	NUM
ajst-23758	2	105	wimbledon	wimbledon	PROPN
ajst-23758	2	106	open	open	NOUN
ajst-23758	2	107	,	,	PUNCT
ajst-23758	2	108	with	with	ADP
ajst-23758	2	109	the	the	DET
ajst-23758	2	110	aim	aim	NOUN
ajst-23758	2	111	of	of	ADP
ajst-23758	2	112	quantifying	quantify	VERB
ajst-23758	2	113	momentum	momentum	NOUN
ajst-23758	2	114	changes	change	NOUN
ajst-23758	2	115	and	and	CCONJ
ajst-23758	2	116	their	their	PRON
ajst-23758	2	117	impact	impact	NOUN
ajst-23758	2	118	on	on	ADP
ajst-23758	2	119	match	match	NOUN
ajst-23758	2	120	outcomes	outcome	NOUN
ajst-23758	2	121	through	through	ADP
ajst-23758	2	122	a	a	DET
ajst-23758	2	123	comprehensive	comprehensive	ADJ
ajst-23758	2	124	data	datum	NOUN
ajst-23758	2	125	analysis	analysis	NOUN
ajst-23758	2	126	framework	framework	NOUN
ajst-23758	2	127	that	that	PRON
ajst-23758	2	128	incorporates	incorporate	VERB
ajst-23758	2	129	multivariate	multivariate	ADJ
ajst-23758	2	130	statistical	statistical	ADJ
ajst-23758	2	131	methods	method	NOUN
ajst-23758	2	132	such	such	ADJ
ajst-23758	2	133	as	as	ADP
ajst-23758	2	134	bp	bp	PROPN
ajst-23758	2	135	neural	neural	ADJ
ajst-23758	2	136	networks	network	NOUN
ajst-23758	2	137	,	,	PUNCT
ajst-23758	2	138	principal	principal	ADJ
ajst-23758	2	139	component	component	NOUN
ajst-23758	2	140	analysis	analysis	NOUN
ajst-23758	2	141	(	(	PUNCT
ajst-23758	2	142	pca	pca	PROPN
ajst-23758	2	143	)	)	PUNCT
ajst-23758	2	144	,	,	PUNCT
ajst-23758	2	145	entropy	entropy	NOUN
ajst-23758	2	146	weighting	weight	VERB
ajst-23758	2	147	analysis	analysis	NOUN
ajst-23758	2	148	,	,	PUNCT
ajst-23758	2	149	and	and	CCONJ
ajst-23758	2	150	multivariate	multivariate	VERB
ajst-23758	2	151	linear	linear	PROPN
ajst-23758	2	152	regression	regression	NOUN
ajst-23758	2	153	.	.	PUNCT
ajst-23758	3	1	the	the	DET
ajst-23758	3	2	model	model	NOUN
ajst-23758	3	3	,	,	PUNCT
ajst-23758	3	4	after	after	ADP
ajst-23758	3	5	sensitivity	sensitivity	NOUN
ajst-23758	3	6	analysis	analysis	NOUN
ajst-23758	3	7	and	and	CCONJ
ajst-23758	3	8	quantification	quantification	NOUN
ajst-23758	3	9	through	through	ADP
ajst-23758	3	10	player	player	NOUN
ajst-23758	3	11	rankings	ranking	NOUN
ajst-23758	3	12	,	,	PUNCT
ajst-23758	3	13	is	be	AUX
ajst-23758	3	14	capable	capable	ADJ
ajst-23758	3	15	of	of	ADP
ajst-23758	3	16	predicting	predict	VERB
ajst-23758	3	17	momentum	momentum	NOUN
ajst-23758	3	18	shifts	shift	NOUN
ajst-23758	3	19	during	during	ADP
ajst-23758	3	20	a	a	DET
ajst-23758	3	21	match	match	NOUN
ajst-23758	3	22	and	and	CCONJ
ajst-23758	3	23	providing	provide	VERB
ajst-23758	3	24	athletes	athlete	NOUN
ajst-23758	3	25	with	with	ADP
ajst-23758	3	26	strategic	strategic	ADJ
ajst-23758	3	27	adjustments	adjustment	NOUN
ajst-23758	3	28	.	.	PUNCT
ajst-23758	4	1	additionally	additionally	ADV
ajst-23758	4	2	,	,	PUNCT
ajst-23758	4	3	the	the	DET
ajst-23758	4	4	model	model	NOUN
ajst-23758	4	5	's	's	PART
ajst-23758	4	6	generalization	generalization	NOUN
ajst-23758	4	7	ability	ability	NOUN
ajst-23758	4	8	was	be	AUX
ajst-23758	4	9	validated	validate	VERB
ajst-23758	4	10	,	,	PUNCT
ajst-23758	4	11	demonstrating	demonstrate	VERB
ajst-23758	4	12	its	its	PRON
ajst-23758	4	13	potential	potential	ADJ
ajst-23758	4	14	applicability	applicability	NOUN
ajst-23758	4	15	across	across	ADP
ajst-23758	4	16	various	various	ADJ
ajst-23758	4	17	competitions	competition	NOUN
ajst-23758	4	18	,	,	PUNCT
ajst-23758	4	19	courts	court	NOUN
ajst-23758	4	20	,	,	PUNCT
ajst-23758	4	21	and	and	CCONJ
ajst-23758	4	22	sports	sport	NOUN
ajst-23758	4	23	.	.	PUNCT
ajst-23758	5	1	the	the	DET
ajst-23758	5	2	research	research	NOUN
ajst-23758	5	3	outcomes	outcome	NOUN
ajst-23758	5	4	not	not	PART
ajst-23758	5	5	only	only	ADV
ajst-23758	5	6	offer	offer	VERB
ajst-23758	5	7	coaches	coach	NOUN
ajst-23758	5	8	and	and	CCONJ
ajst-23758	5	9	athletes	athlete	NOUN
ajst-23758	5	10	strategies	strategy	NOUN
ajst-23758	5	11	for	for	ADP
ajst-23758	5	12	momentum	momentum	NOUN
ajst-23758	5	13	shifts	shift	NOUN
ajst-23758	5	14	but	but	CCONJ
ajst-23758	5	15	also	also	ADV
ajst-23758	5	16	highlight	highlight	VERB
ajst-23758	5	17	the	the	DET
ajst-23758	5	18	model	model	NOUN
ajst-23758	5	19	's	's	PART
ajst-23758	5	20	broad	broad	ADJ
ajst-23758	5	21	potential	potential	NOUN
ajst-23758	5	22	for	for	ADP
ajst-23758	5	23	application	application	NOUN
ajst-23758	5	24	in	in	ADP
ajst-23758	5	25	sports	sport	NOUN
ajst-23758	5	26	match	match	NOUN
ajst-23758	5	27	analysis	analysis	NOUN
ajst-23758	5	28	.	.	PUNCT
ajst-23758	6	1	keywords	keyword	NOUN
ajst-23758	6	2	:	:	PUNCT
ajst-23758	6	3	power	power	NOUN
ajst-23758	6	4	;	;	PUNCT
ajst-23758	6	5	linear	linear	ADJ
ajst-23758	6	6	regression	regression	NOUN
ajst-23758	6	7	analysis	analysis	NOUN
ajst-23758	6	8	;	;	PUNCT
ajst-23758	6	9	anova	anova	PROPN
ajst-23758	6	10	test	test	NOUN
ajst-23758	6	11	;	;	PUNCT
ajst-23758	6	12	bp	bp	PROPN
ajst-23758	6	13	neural	neural	ADJ
ajst-23758	6	14	network	network	NOUN
ajst-23758	6	15	.	.	PUNCT
ajst-23758	7	1	1	1	X
ajst-23758	7	2	.	.	X
ajst-23758	7	3	introduction	introduction	NOUN
ajst-23758	7	4	momentum	momentum	NOUN
ajst-23758	7	5	transfer	transfer	NOUN
ajst-23758	7	6	in	in	ADP
ajst-23758	7	7	tennis	tennis	NOUN
ajst-23758	7	8	is	be	AUX
ajst-23758	7	9	a	a	DET
ajst-23758	7	10	complex	complex	ADJ
ajst-23758	7	11	and	and	CCONJ
ajst-23758	7	12	fascinating	fascinating	ADJ
ajst-23758	7	13	phenomenon	phenomenon	NOUN
ajst-23758	7	14	that	that	PRON
ajst-23758	7	15	involves	involve	VERB
ajst-23758	7	16	multiple	multiple	ADJ
ajst-23758	7	17	dimensions	dimension	NOUN
ajst-23758	7	18	,	,	PUNCT
ajst-23758	7	19	including	include	VERB
ajst-23758	7	20	mental	mental	ADJ
ajst-23758	7	21	,	,	PUNCT
ajst-23758	7	22	physical	physical	ADJ
ajst-23758	7	23	and	and	CCONJ
ajst-23758	7	24	technical	technical	ADJ
ajst-23758	7	25	.	.	PUNCT
ajst-23758	8	1	in	in	ADP
ajst-23758	8	2	high	high	ADJ
ajst-23758	8	3	-	-	PUNCT
ajst-23758	8	4	level	level	NOUN
ajst-23758	8	5	tennis	tennis	NOUN
ajst-23758	8	6	duels	duel	NOUN
ajst-23758	8	7	,	,	PUNCT
ajst-23758	8	8	the	the	DET
ajst-23758	8	9	skill	skill	NOUN
ajst-23758	8	10	gap	gap	NOUN
ajst-23758	8	11	between	between	ADP
ajst-23758	8	12	players	player	NOUN
ajst-23758	8	13	is	be	AUX
ajst-23758	8	14	often	often	ADV
ajst-23758	8	15	tiny	tiny	ADJ
ajst-23758	8	16	,	,	PUNCT
ajst-23758	8	17	so	so	ADV
ajst-23758	8	18	momentum	momentum	NOUN
ajst-23758	8	19	management	management	NOUN
ajst-23758	8	20	and	and	CCONJ
ajst-23758	8	21	conversion	conversion	NOUN
ajst-23758	8	22	become	become	VERB
ajst-23758	8	23	one	one	NUM
ajst-23758	8	24	of	of	ADP
ajst-23758	8	25	the	the	DET
ajst-23758	8	26	key	key	ADJ
ajst-23758	8	27	strategies	strategy	NOUN
ajst-23758	8	28	to	to	PART
ajst-23758	8	29	win	win	VERB
ajst-23758	8	30	the	the	DET
ajst-23758	8	31	match	match	NOUN
ajst-23758	9	1	[	[	X
ajst-23758	9	2	1	1	NUM
ajst-23758	9	3	]	]	PUNCT
ajst-23758	9	4	.	.	PUNCT
ajst-23758	10	1	however	however	ADV
ajst-23758	10	2	,	,	PUNCT
ajst-23758	10	3	quantification	quantification	NOUN
ajst-23758	10	4	and	and	CCONJ
ajst-23758	10	5	prediction	prediction	NOUN
ajst-23758	10	6	of	of	ADP
ajst-23758	10	7	momentum	momentum	NOUN
ajst-23758	10	8	remains	remain	VERB
ajst-23758	10	9	a	a	DET
ajst-23758	10	10	challenge	challenge	NOUN
ajst-23758	10	11	in	in	ADP
ajst-23758	10	12	the	the	DET
ajst-23758	10	13	field	field	NOUN
ajst-23758	10	14	of	of	ADP
ajst-23758	10	15	sport	sport	NOUN
ajst-23758	10	16	science	science	NOUN
ajst-23758	10	17	.	.	PUNCT
ajst-23758	11	1	traditional	traditional	ADJ
ajst-23758	11	2	analytical	analytical	ADJ
ajst-23758	11	3	methods	method	NOUN
ajst-23758	11	4	often	often	ADV
ajst-23758	11	5	rely	rely	VERB
ajst-23758	11	6	on	on	ADP
ajst-23758	11	7	qualitative	qualitative	ADJ
ajst-23758	11	8	judgment	judgment	NOUN
ajst-23758	11	9	and	and	CCONJ
ajst-23758	11	10	subjective	subjective	ADJ
ajst-23758	11	11	experience	experience	NOUN
ajst-23758	11	12	,	,	PUNCT
ajst-23758	11	13	lacking	lack	VERB
ajst-23758	11	14	in	in	ADP
ajst-23758	11	15	-	-	PUNCT
ajst-23758	11	16	depth	depth	NOUN
ajst-23758	11	17	understanding	understanding	NOUN
ajst-23758	11	18	and	and	CCONJ
ajst-23758	11	19	accurate	accurate	ADJ
ajst-23758	11	20	prediction	prediction	NOUN
ajst-23758	11	21	of	of	ADP
ajst-23758	11	22	the	the	DET
ajst-23758	11	23	changing	change	VERB
ajst-23758	11	24	patterns	pattern	NOUN
ajst-23758	11	25	of	of	ADP
ajst-23758	11	26	momentum	momentum	NOUN
ajst-23758	11	27	.	.	PUNCT
ajst-23758	12	1	in	in	ADP
ajst-23758	12	2	this	this	DET
ajst-23758	12	3	study	study	NOUN
ajst-23758	12	4	,	,	PUNCT
ajst-23758	12	5	a	a	DET
ajst-23758	12	6	prediction	prediction	NOUN
ajst-23758	12	7	model	model	NOUN
ajst-23758	12	8	based	base	VERB
ajst-23758	12	9	on	on	ADP
ajst-23758	12	10	bp	bp	PROPN
ajst-23758	12	11	neural	neural	ADJ
ajst-23758	12	12	network	network	NOUN
ajst-23758	12	13	and	and	CCONJ
ajst-23758	12	14	multivariate	multivariate	NOUN
ajst-23758	12	15	linear	linear	PROPN
ajst-23758	12	16	regression	regression	NOUN
ajst-23758	12	17	is	be	AUX
ajst-23758	12	18	constructed	construct	VERB
ajst-23758	12	19	to	to	PART
ajst-23758	12	20	analyze	analyze	VERB
ajst-23758	12	21	and	and	CCONJ
ajst-23758	12	22	predict	predict	VERB
ajst-23758	12	23	the	the	DET
ajst-23758	12	24	momentum	momentum	NOUN
ajst-23758	12	25	changes	change	NOUN
ajst-23758	12	26	in	in	ADP
ajst-23758	12	27	a	a	DET
ajst-23758	12	28	tennis	tennis	NOUN
ajst-23758	12	29	match	match	NOUN
ajst-23758	12	30	.	.	PUNCT
ajst-23758	13	1	and	and	CCONJ
ajst-23758	13	2	the	the	DET
ajst-23758	13	3	model	model	NOUN
ajst-23758	13	4	is	be	AUX
ajst-23758	13	5	used	use	VERB
ajst-23758	13	6	to	to	PART
ajst-23758	13	7	predict	predict	VERB
ajst-23758	13	8	the	the	DET
ajst-23758	13	9	turning	turning	NOUN
ajst-23758	13	10	points	point	NOUN
ajst-23758	13	11	and	and	CCONJ
ajst-23758	13	12	the	the	DET
ajst-23758	13	13	dynamics	dynamic	NOUN
ajst-23758	13	14	of	of	ADP
ajst-23758	13	15	the	the	DET
ajst-23758	13	16	winning	win	VERB
ajst-23758	13	17	percentage	percentage	NOUN
ajst-23758	13	18	over	over	ADP
ajst-23758	13	19	time	time	NOUN
ajst-23758	13	20	[	[	X
ajst-23758	13	21	2	2	NUM
ajst-23758	13	22	]	]	PUNCT
ajst-23758	13	23	.	.	PUNCT
ajst-23758	14	1	finally	finally	ADV
ajst-23758	14	2	,	,	PUNCT
ajst-23758	14	3	the	the	DET
ajst-23758	14	4	model	model	NOUN
ajst-23758	14	5	is	be	AUX
ajst-23758	14	6	applied	apply	VERB
ajst-23758	14	7	to	to	ADP
ajst-23758	14	8	real	real	ADJ
ajst-23758	14	9	matches	match	NOUN
ajst-23758	14	10	,	,	PUNCT
ajst-23758	14	11	including	include	VERB
ajst-23758	14	12	pre	pre	ADJ
ajst-23758	14	13	-	-	ADJ
ajst-23758	14	14	match	match	ADJ
ajst-23758	14	15	prediction	prediction	NOUN
ajst-23758	14	16	and	and	CCONJ
ajst-23758	14	17	post	post	ADJ
ajst-23758	14	18	-	-	ADJ
ajst-23758	14	19	match	match	ADJ
ajst-23758	14	20	prediction	prediction	NOUN
ajst-23758	14	21	[	[	X
ajst-23758	14	22	3	3	NUM
ajst-23758	14	23	]	]	PUNCT
ajst-23758	14	24	.	.	PUNCT
ajst-23758	15	1	2	2	X
ajst-23758	15	2	.	.	X
ajst-23758	15	3	momentum	momentum	NOUN
ajst-23758	15	4	analysis	analysis	NOUN
ajst-23758	15	5	2.1	2.1	NUM
ajst-23758	15	6	.	.	PUNCT
ajst-23758	16	1	bp	bp	PROPN
ajst-23758	16	2	neural	neural	PROPN
ajst-23758	16	3	network	network	NOUN
ajst-23758	16	4	-	-	PUNCT
ajst-23758	16	5	based	base	VERB
ajst-23758	16	6	data	datum	NOUN
ajst-23758	16	7	missing	miss	VERB
ajst-23758	16	8	value	value	NOUN
ajst-23758	16	9	processing	processing	NOUN
ajst-23758	16	10	table	table	NOUN
ajst-23758	16	11	1	1	NUM
ajst-23758	16	12	.	.	NUM
ajst-23758	16	13	elapsed	elapse	VERB
ajst-23758	16	14	time	time	NOUN
ajst-23758	16	15	after	after	ADP
ajst-23758	16	16	python	python	NOUN
ajst-23758	16	17	processing	processing	NOUN
ajst-23758	16	18	match_id	match_id	PROPN
ajst-23758	16	19	elapsed_time	elapsed_time	ADV
ajst-23758	16	20	time_diff	time_diff	NOUN
ajst-23758	16	21	0	0	NUM
ajst-23758	16	22	2023wimbledon-1301	2023wimbledon-1301	NUM
ajst-23758	16	23	00:00:00	00:00:00	NUM
ajst-23758	16	24	0.0	0.0	NUM
ajst-23758	16	25	1	1	NUM
ajst-23758	16	26	2023wimbledon-1301	2023wimbledon-1301	NUM
ajst-23758	16	27	00:00:38	00:00:38	NUM
ajst-23758	16	28	38.0	38.0	NUM
ajst-23758	16	29	2	2	NUM
ajst-23758	16	30	2023wimbledon-1301	2023wimbledon-1301	NUM
ajst-23758	16	31	00:01:01	00:01:01	NUM
ajst-23758	16	32	23.0	23.0	NUM
ajst-23758	16	33	3	3	NUM
ajst-23758	16	34	2023wimbledon-1301	2023wimbledon-1301	NUM
ajst-23758	16	35	00:01:31	00:01:31	NUM
ajst-23758	16	36	30.0	30.0	NUM
ajst-23758	16	37	4	4	NUM
ajst-23758	16	38	2023wimbledon-1301	2023wimbledon-1301	NUM
ajst-23758	16	39	00:02:21	00:02:21	NUM
ajst-23758	16	40	50.0	50.0	NUM
ajst-23758	16	41	first	first	ADJ
ajst-23758	16	42	,	,	PUNCT
ajst-23758	16	43	we	we	PRON
ajst-23758	16	44	analyzed	analyze	VERB
ajst-23758	16	45	the	the	DET
ajst-23758	16	46	data	datum	NOUN
ajst-23758	16	47	and	and	CCONJ
ajst-23758	16	48	calculated	calculate	VERB
ajst-23758	16	49	the	the	DET
ajst-23758	16	50	time	time	NOUN
ajst-23758	16	51	in	in	ADP
ajst-23758	16	52	seconds	second	NOUN
ajst-23758	16	53	as	as	SCONJ
ajst-23758	16	54	shown	show	VERB
ajst-23758	16	55	in	in	ADP
ajst-23758	16	56	table	table	NOUN
ajst-23758	16	57	1	1	NUM
ajst-23758	16	58	.	.	PUNCT
ajst-23758	17	1	for	for	ADP
ajst-23758	17	2	convenience	convenience	NOUN
ajst-23758	17	3	,	,	PUNCT
ajst-23758	17	4	the	the	DET
ajst-23758	17	5	score	score	NOUN
ajst-23758	17	6	for	for	ADP
ajst-23758	17	7	ad	ad	NOUN
ajst-23758	17	8	lead	lead	NOUN
ajst-23758	17	9	status	status	NOUN
ajst-23758	17	10	was	be	AUX
ajst-23758	17	11	replaced	replace	VERB
ajst-23758	17	12	with	with	ADP
ajst-23758	17	13	50	50	NUM
ajst-23758	17	14	points	point	NOUN
ajst-23758	17	15	.	.	PUNCT
ajst-23758	18	1	the	the	DET
ajst-23758	18	2	dataset	dataset	NOUN
ajst-23758	18	3	of	of	ADP
ajst-23758	18	4	the	the	DET
ajst-23758	18	5	tournament	tournament	NOUN
ajst-23758	18	6	contains	contain	VERB
ajst-23758	18	7	7284	7284	NUM
ajst-23758	18	8	game	game	NOUN
ajst-23758	18	9	score	score	NOUN
ajst-23758	18	10	data	datum	NOUN
ajst-23758	18	11	.	.	PUNCT
ajst-23758	19	1	we	we	PRON
ajst-23758	19	2	use	use	VERB
ajst-23758	19	3	bp	bp	PROPN
ajst-23758	19	4	neural	neural	ADJ
ajst-23758	19	5	network	network	NOUN
ajst-23758	19	6	to	to	PART
ajst-23758	19	7	interpolate	interpolate	VERB
ajst-23758	19	8	the	the	DET
ajst-23758	19	9	missing	miss	VERB
ajst-23758	19	10	values	value	NOUN
ajst-23758	19	11	.	.	PUNCT
ajst-23758	20	1	for	for	ADP
ajst-23758	20	2	the	the	DET
ajst-23758	20	3	nodes	node	NOUN
ajst-23758	20	4	with	with	ADP
ajst-23758	20	5	missing	miss	VERB
ajst-23758	20	6	values	value	NOUN
ajst-23758	20	7	and	and	CCONJ
ajst-23758	20	8	outliers	outlier	NOUN
ajst-23758	20	9	in	in	ADP
ajst-23758	20	10	the	the	DET
ajst-23758	20	11	missing	miss	VERB
ajst-23758	20	12	data	datum	NOUN
ajst-23758	20	13	,	,	PUNCT
ajst-23758	20	14	this	this	PRON
ajst-23758	20	15	is	be	AUX
ajst-23758	20	16	exactly	exactly	ADV
ajst-23758	20	17	the	the	DET
ajst-23758	20	18	data	datum	NOUN
ajst-23758	20	19	we	we	PRON
ajst-23758	20	20	need	need	VERB
ajst-23758	20	21	to	to	PART
ajst-23758	20	22	study	study	VERB
ajst-23758	20	23	the	the	DET
ajst-23758	20	24	subsequent	subsequent	ADJ
ajst-23758	20	25	problems	problem	NOUN
ajst-23758	20	26	.	.	PUNCT
ajst-23758	21	1	missing	miss	VERB
ajst-23758	21	2	value	value	NOUN
ajst-23758	21	3	interpolation	interpolation	NOUN
ajst-23758	21	4	based	base	VERB
ajst-23758	21	5	on	on	ADP
ajst-23758	21	6	bp	bp	PROPN
ajst-23758	21	7	neural	neural	ADJ
ajst-23758	21	8	network	network	NOUN
ajst-23758	21	9	is	be	AUX
ajst-23758	21	10	a	a	DET
ajst-23758	21	11	promising	promising	ADJ
ajst-23758	21	12	method	method	NOUN
ajst-23758	21	13	.	.	PUNCT
ajst-23758	22	1	first	first	ADV
ajst-23758	22	2	,	,	PUNCT
ajst-23758	22	3	we	we	PRON
ajst-23758	22	4	can	can	AUX
ajst-23758	22	5	construct	construct	VERB
ajst-23758	22	6	a	a	DET
ajst-23758	22	7	bp	bp	PROPN
ajst-23758	22	8	neural	neural	ADJ
ajst-23758	22	9	network	network	NOUN
ajst-23758	22	10	model	model	NOUN
ajst-23758	22	11	by	by	ADP
ajst-23758	22	12	taking	take	VERB
ajst-23758	22	13	the	the	DET
ajst-23758	22	14	non	non	ADJ
ajst-23758	22	15	-	-	ADJ
ajst-23758	22	16	missing	missing	ADJ
ajst-23758	22	17	values	value	NOUN
ajst-23758	22	18	in	in	ADP
ajst-23758	22	19	the	the	DET
ajst-23758	22	20	dataset	dataset	NOUN
ajst-23758	22	21	as	as	ADP
ajst-23758	22	22	the	the	DET
ajst-23758	22	23	training	training	NOUN
ajst-23758	22	24	set	set	NOUN
ajst-23758	22	25	and	and	CCONJ
ajst-23758	22	26	the	the	DET
ajst-23758	22	27	features	feature	NOUN
ajst-23758	22	28	corresponding	correspond	VERB
ajst-23758	22	29	to	to	ADP
ajst-23758	22	30	the	the	DET
ajst-23758	22	31	missing	miss	VERB
ajst-23758	22	32	values	value	NOUN
ajst-23758	22	33	as	as	ADP
ajst-23758	22	34	the	the	DET
ajst-23758	22	35	target	target	NOUN
ajst-23758	22	36	values	value	NOUN
ajst-23758	22	37	.	.	PUNCT
ajst-23758	23	1	through	through	ADP
ajst-23758	23	2	continuous	continuous	ADJ
ajst-23758	23	3	iterative	iterative	NOUN
ajst-23758	23	4	training	training	NOUN
ajst-23758	23	5	,	,	PUNCT
ajst-23758	23	6	the	the	DET
ajst-23758	23	7	neural	neural	ADJ
ajst-23758	23	8	network	network	NOUN
ajst-23758	23	9	can	can	AUX
ajst-23758	23	10	learn	learn	VERB
ajst-23758	23	11	the	the	DET
ajst-23758	23	12	complex	complex	ADJ
ajst-23758	23	13	relationships	relationship	NOUN
ajst-23758	23	14	between	between	ADP
ajst-23758	23	15	features	feature	NOUN
ajst-23758	23	16	and	and	CCONJ
ajst-23758	23	17	thus	thus	ADV
ajst-23758	23	18	accurately	accurately	ADV
ajst-23758	23	19	predict	predict	VERB
ajst-23758	23	20	the	the	DET
ajst-23758	23	21	missing	miss	VERB
ajst-23758	23	22	values	value	NOUN
ajst-23758	23	23	[	[	X
ajst-23758	23	24	4	4	NUM
ajst-23758	23	25	-	-	SYM
ajst-23758	23	26	5	5	NUM
ajst-23758	23	27	]	]	PUNCT
ajst-23758	23	28	.	.	PUNCT
ajst-23758	24	1	2.2	2.2	NUM
ajst-23758	24	2	.	.	PUNCT
ajst-23758	24	3	establishment	establishment	NOUN
ajst-23758	24	4	of	of	ADP
ajst-23758	24	5	indicators	indicator	NOUN
ajst-23758	24	6	and	and	CCONJ
ajst-23758	24	7	assessments	assessment	NOUN
ajst-23758	24	8	the	the	DET
ajst-23758	24	9	key	key	ADJ
ajst-23758	24	10	factors	factor	NOUN
ajst-23758	24	11	related	relate	VERB
ajst-23758	24	12	to	to	ADP
ajst-23758	24	13	the	the	DET
ajst-23758	24	14	player	player	NOUN
ajst-23758	24	15	's	's	PART
ajst-23758	24	16	victory	victory	NOUN
ajst-23758	24	17	,	,	PUNCT
ajst-23758	24	18	in	in	ADP
ajst-23758	24	19	addition	addition	NOUN
ajst-23758	24	20	to	to	ADP
ajst-23758	24	21	being	be	AUX
ajst-23758	24	22	a	a	DET
ajst-23758	24	23	server	server	NOUN
ajst-23758	24	24	,	,	PUNCT
ajst-23758	24	25	are	be	AUX
ajst-23758	24	26	also	also	ADV
ajst-23758	24	27	related	relate	VERB
ajst-23758	24	28	to	to	ADP
ajst-23758	24	29	the	the	DET
ajst-23758	24	30	player	player	NOUN
ajst-23758	24	31	's	's	PART
ajst-23758	24	32	fatigue	fatigue	NOUN
ajst-23758	24	33	level	level	NOUN
ajst-23758	24	34	,	,	PUNCT
ajst-23758	24	35	personal	personal	ADJ
ajst-23758	24	36	technical	technical	ADJ
ajst-23758	24	37	ability	ability	NOUN
ajst-23758	24	38	,	,	PUNCT
ajst-23758	24	39	and	and	CCONJ
ajst-23758	24	40	real	real	ADJ
ajst-23758	24	41	-	-	PUNCT
ajst-23758	24	42	time	time	NOUN
ajst-23758	24	43	mentality	mentality	NOUN
ajst-23758	24	44	during	during	ADP
ajst-23758	24	45	the	the	DET
ajst-23758	24	46	game	game	NOUN
ajst-23758	24	47	.	.	PUNCT
ajst-23758	25	1	based	base	VERB
ajst-23758	25	2	on	on	ADP
ajst-23758	25	3	the	the	DET
ajst-23758	25	4	athletes	athlete	NOUN
ajst-23758	25	5	'	'	PART
ajst-23758	25	6	performance	performance	NOUN
ajst-23758	25	7	on	on	ADP
ajst-23758	25	8	the	the	DET
ajst-23758	25	9	field	field	NOUN
ajst-23758	25	10	,	,	PUNCT
ajst-23758	25	11	we	we	PRON
ajst-23758	25	12	list	list	VERB
ajst-23758	25	13	some	some	DET
ajst-23758	25	14	important	important	ADJ
ajst-23758	25	15	indicators	indicator	NOUN
ajst-23758	25	16	as	as	ADP
ajst-23758	25	17	the	the	DET
ajst-23758	25	18	key	key	ADJ
ajst-23758	25	19	indicators	indicator	NOUN
ajst-23758	25	20	to	to	PART
ajst-23758	25	21	determine	determine	VERB
ajst-23758	25	22	whether	whether	SCONJ
ajst-23758	25	23	the	the	DET
ajst-23758	25	24	athletes	athlete	NOUN
ajst-23758	25	25	can	can	AUX
ajst-23758	25	26	win	win	VERB
ajst-23758	25	27	the	the	DET
ajst-23758	25	28	game	game	NOUN
ajst-23758	25	29	,	,	PUNCT
ajst-23758	25	30	as	as	SCONJ
ajst-23758	25	31	shown	show	VERB
ajst-23758	25	32	in	in	ADP
ajst-23758	25	33	fig	fig	NOUN
ajst-23758	25	34	.	.	PUNCT
ajst-23758	26	1	1	1	NUM
ajst-23758	26	2	.	.	X
ajst-23758	26	3	2.3	2.3	NUM
ajst-23758	26	4	.	.	PUNCT
ajst-23758	27	1	principal	principal	ADJ
ajst-23758	27	2	component	component	NOUN
ajst-23758	27	3	analysis	analysis	NOUN
ajst-23758	27	4	models	model	NOUN
ajst-23758	27	5	we	we	PRON
ajst-23758	27	6	have	have	VERB
ajst-23758	27	7	three	three	NUM
ajst-23758	27	8	levels	level	NOUN
ajst-23758	27	9	of	of	ADP
ajst-23758	27	10	stratified	stratified	ADJ
ajst-23758	27	11	analysis	analysis	NOUN
ajst-23758	27	12	:	:	PUNCT
ajst-23758	27	13	goal	goal	NOUN
ajst-23758	27	14	level	level	NOUN
ajst-23758	27	15	:	:	PUNCT
ajst-23758	27	16	predicted	predict	VERB
ajst-23758	27	17	wins	win	NOUN
ajst-23758	27	18	(	(	PUNCT
ajst-23758	27	19	for	for	ADP
ajst-23758	27	20	scoring	scoring	NOUN
ajst-23758	27	21	)	)	PUNCT
ajst-23758	27	22	;	;	PUNCT
ajst-23758	27	23	criteria	criterion	NOUN
ajst-23758	27	24	level	level	NOUN
ajst-23758	27	25	:	:	PUNCT
ajst-23758	27	26	each	each	DET
ajst-23758	27	27	metric	metric	NOUN
ajst-23758	27	28	used	use	VERB
ajst-23758	27	29	to	to	PART
ajst-23758	27	30	predict	predict	VERB
ajst-23758	27	31	real	real	ADJ
ajst-23758	27	32	-	-	PUNCT
ajst-23758	27	33	time	time	NOUN
ajst-23758	27	34	wins	win	NOUN
ajst-23758	27	35	;	;	PUNCT
ajst-23758	27	36	program	program	NOUN
ajst-23758	27	37	level	level	NOUN
ajst-23758	27	38	:	:	PUNCT
ajst-23758	27	39	two	two	NUM
ajst-23758	27	40	participants	participant	NOUN
ajst-23758	27	41	.	.	PUNCT
ajst-23758	28	1	we	we	PRON
ajst-23758	28	2	analyzed	analyze	VERB
ajst-23758	28	3	the	the	DET
ajst-23758	28	4	players	player	NOUN
ajst-23758	28	5	'	'	PART
ajst-23758	28	6	mentality	mentality	NOUN
ajst-23758	28	7	in	in	ADP
ajst-23758	28	8	these	these	DET
ajst-23758	28	9	three	three	NUM
ajst-23758	28	10	types	type	NOUN
ajst-23758	28	11	of	of	ADP
ajst-23758	28	12	metrics	metric	NOUN
ajst-23758	28	13	,	,	PUNCT
ajst-23758	28	14	with	with	ADP
ajst-23758	28	15	data	datum	NOUN
ajst-23758	28	16	derived	derive	VERB
ajst-23758	28	17	from	from	ADP
ajst-23758	28	18	variables	variable	NOUN
ajst-23758	28	19	that	that	PRON
ajst-23758	28	20	affect	affect	VERB
ajst-23758	28	21	the	the	DET
ajst-23758	28	22	players	player	NOUN
ajst-23758	28	23	'	'	PART
ajst-23758	28	24	mentality	mentality	NOUN
ajst-23758	28	25	[	[	X
ajst-23758	28	26	6	6	NUM
ajst-23758	28	27	]	]	PUNCT
ajst-23758	28	28	.	.	PUNCT
ajst-23758	29	1	256	256	NUM
ajst-23758	29	2	fig	fig	NOUN
ajst-23758	29	3	1	1	NUM
ajst-23758	29	4	.	.	PUNCT
ajst-23758	29	5	indicator	indicator	NOUN
ajst-23758	29	6	system	system	NOUN
ajst-23758	29	7	diagram	diagram	NOUN
ajst-23758	29	8	in	in	ADP
ajst-23758	29	9	order	order	NOUN
ajst-23758	29	10	to	to	PART
ajst-23758	29	11	achieve	achieve	VERB
ajst-23758	29	12	a	a	DET
ajst-23758	29	13	more	more	ADV
ajst-23758	29	14	hierarchical	hierarchical	ADJ
ajst-23758	29	15	classification	classification	NOUN
ajst-23758	29	16	,	,	PUNCT
ajst-23758	29	17	the	the	DET
ajst-23758	29	18	dimensionality	dimensionality	NOUN
ajst-23758	29	19	of	of	ADP
ajst-23758	29	20	the	the	DET
ajst-23758	29	21	above	above	ADJ
ajst-23758	29	22	three	three	NUM
ajst-23758	29	23	types	type	NOUN
ajst-23758	29	24	of	of	ADP
ajst-23758	29	25	factors	factor	NOUN
ajst-23758	29	26	was	be	AUX
ajst-23758	29	27	reduced	reduce	VERB
ajst-23758	29	28	.	.	PUNCT
ajst-23758	30	1	the	the	DET
ajst-23758	30	2	external	external	ADJ
ajst-23758	30	3	relationship	relationship	NOUN
ajst-23758	30	4	reconstruction	reconstruction	NOUN
ajst-23758	30	5	model	model	NOUN
ajst-23758	30	6	was	be	AUX
ajst-23758	30	7	utilized	utilize	VERB
ajst-23758	30	8	to	to	PART
ajst-23758	30	9	construct	construct	VERB
ajst-23758	30	10	the	the	DET
ajst-23758	30	11	indicators	indicator	NOUN
ajst-23758	30	12	as	as	SCONJ
ajst-23758	30	13	shown	show	VERB
ajst-23758	30	14	in	in	ADP
ajst-23758	30	15	the	the	DET
ajst-23758	30	16	following	follow	VERB
ajst-23758	30	17	equation	equation	NOUN
ajst-23758	30	18	.	.	PUNCT
ajst-23758	31	1	1	1	NUM
ajst-23758	31	2	11	11	NUM
ajst-23758	31	3	1	1	NUM
ajst-23758	31	4	12	12	NUM
ajst-23758	31	5	2	2	NUM
ajst-23758	31	6	1	1	NUM
ajst-23758	31	7	1	1	NUM
ajst-23758	31	8	2	2	NUM
ajst-23758	31	9	21	21	NUM
ajst-23758	31	10	1	1	NUM
ajst-23758	31	11	22	22	NUM
ajst-23758	31	12	2	2	NUM
ajst-23758	31	13	2	2	NUM
ajst-23758	31	14	2	2	NUM
ajst-23758	31	15	3	3	NUM
ajst-23758	31	16	31	31	NUM
ajst-23758	31	17	1	1	NUM
ajst-23758	31	18	32	32	NUM
ajst-23758	31	19	2	2	NUM
ajst-23758	31	20	3	3	NUM
ajst-23758	31	21	3	3	NUM
ajst-23758	31	22	m	m	NOUN
ajst-23758	31	23	m	m	VERB
ajst-23758	31	24	m	m	VERB
ajst-23758	31	25	m	m	VERB
ajst-23758	31	26	m	m	VERB
ajst-23758	31	27	m	m	VERB
ajst-23758	31	28	x	x	X
ajst-23758	31	29	a	a	DET
ajst-23758	31	30	f	f	X
ajst-23758	31	31	a	a	DET
ajst-23758	31	32	f	f	X
ajst-23758	31	33	a	a	DET
ajst-23758	31	34	f	f	X
ajst-23758	31	35	e	e	X
ajst-23758	31	36	x	x	PROPN
ajst-23758	31	37	a	a	DET
ajst-23758	31	38	f	f	X
ajst-23758	31	39	a	a	DET
ajst-23758	31	40	f	f	X
ajst-23758	31	41	a	a	DET
ajst-23758	31	42	f	f	X
ajst-23758	31	43	e	e	X
ajst-23758	31	44	x	x	PROPN
ajst-23758	31	45	a	a	DET
ajst-23758	31	46	f	f	X
ajst-23758	31	47	a	a	DET
ajst-23758	31	48	f	f	X
ajst-23758	31	49	a	a	DET
ajst-23758	31	50	f	f	X
ajst-23758	31	51	e	e	ADP
ajst-23758	31	52			PROPN
ajst-23758	31	53			PROPN
ajst-23758	31	54			PUNCT
ajst-23758	31	55			VERB
ajst-23758	31	56			PROPN
ajst-23758	31	57			PROPN
ajst-23758	31	58			PROPN
ajst-23758	31	59			PUNCT
ajst-23758	31	60			VERB
ajst-23758	31	61			PROPN
ajst-23758	31	62			PROPN
ajst-23758	31	63			PROPN
ajst-23758	31	64			PUNCT
ajst-23758	31	65			PUNCT
ajst-23758	31	66			PUNCT
ajst-23758	31	67			PRON
ajst-23758	31	68			NUM
ajst-23758	31	69			NUM
ajst-23758	31	70	(	(	PUNCT
ajst-23758	31	71	1	1	NUM
ajst-23758	31	72	)	)	PUNCT
ajst-23758	31	73	where	where	SCONJ
ajst-23758	31	74	,	,	PUNCT
ajst-23758	31	75	is	be	AUX
ajst-23758	31	76	an	an	DET
ajst-23758	31	77	observable	observable	ADJ
ajst-23758	31	78	random	random	ADJ
ajst-23758	31	79	variable	variable	NOUN
ajst-23758	31	80	denoting	denote	VERB
ajst-23758	31	81	the	the	DET
ajst-23758	31	82	continuity	continuity	NOUN
ajst-23758	31	83	given	give	VERB
ajst-23758	31	84	in	in	ADP
ajst-23758	31	85	the	the	DET
ajst-23758	31	86	question	question	NOUN
ajst-23758	31	87	.	.	PUNCT
ajst-23758	32	1	f	f	PROPN
ajst-23758	32	2	is	be	AUX
ajst-23758	32	3	a	a	DET
ajst-23758	32	4	common	common	ADJ
ajst-23758	32	5	factor	factor	NOUN
ajst-23758	32	6	,	,	PUNCT
ajst-23758	32	7	an	an	DET
ajst-23758	32	8	unmeasured	unmeasured	ADJ
ajst-23758	32	9	random	random	ADJ
ajst-23758	32	10	vector	vector	NOUN
ajst-23758	32	11	such	such	ADJ
ajst-23758	32	12	as	as	ADP
ajst-23758	32	13	the	the	DET
ajst-23758	32	14	indicators	indicator	NOUN
ajst-23758	32	15	affected	affect	VERB
ajst-23758	32	16	by	by	ADP
ajst-23758	32	17	depletion	depletion	NOUN
ajst-23758	32	18	under	under	ADP
ajst-23758	32	19	the	the	DET
ajst-23758	32	20	conditions	condition	NOUN
ajst-23758	32	21	described	describe	VERB
ajst-23758	32	22	above	above	ADV
ajst-23758	32	23	.	.	PUNCT
ajst-23758	33	1	and	and	CCONJ
ajst-23758	33	2	e	e	NOUN
ajst-23758	33	3	are	be	AUX
ajst-23758	33	4	independent	independent	ADJ
ajst-23758	33	5	of	of	ADP
ajst-23758	33	6	each	each	DET
ajst-23758	33	7	other	other	ADJ
ajst-23758	33	8	,	,	PUNCT
ajst-23758	33	9	to	to	PART
ajst-23758	33	10	simplify	simplify	VERB
ajst-23758	33	11	the	the	DET
ajst-23758	33	12	model	model	NOUN
ajst-23758	33	13	we	we	PRON
ajst-23758	33	14	can	can	AUX
ajst-23758	33	15	rewrite	rewrite	VERB
ajst-23758	33	16	the	the	DET
ajst-23758	33	17	factor	factor	NOUN
ajst-23758	33	18	score	score	NOUN
ajst-23758	33	19	model	model	NOUN
ajst-23758	33	20	as	as	ADP
ajst-23758	33	21	.	.	PROPN
ajst-23758	33	22	1	1	NUM
ajst-23758	33	23	11	11	NUM
ajst-23758	33	24	1	1	NUM
ajst-23758	33	25	12	12	NUM
ajst-23758	33	26	2	2	NUM
ajst-23758	33	27	1	1	NUM
ajst-23758	33	28	2	2	NUM
ajst-23758	33	29	21	21	NUM
ajst-23758	33	30	1	1	NUM
ajst-23758	33	31	22	22	NUM
ajst-23758	33	32	2	2	NUM
ajst-23758	33	33	2	2	NUM
ajst-23758	33	34	3	3	NUM
ajst-23758	33	35	31	31	NUM
ajst-23758	33	36	1	1	NUM
ajst-23758	33	37	32	32	NUM
ajst-23758	33	38	2	2	NUM
ajst-23758	33	39	3	3	NUM
ajst-23758	33	40	p	p	NOUN
ajst-23758	33	41	p	p	NOUN
ajst-23758	33	42	p	p	X
ajst-23758	33	43	p	p	PROPN
ajst-23758	33	44	p	p	X
ajst-23758	33	45	p	p	X
ajst-23758	33	46	f	f	NOUN
ajst-23758	33	47	x	x	PUNCT
ajst-23758	33	48	x	x	PUNCT
ajst-23758	33	49	x	x	X
ajst-23758	33	50	f	f	NOUN
ajst-23758	33	51	x	x	PUNCT
ajst-23758	33	52	x	x	PUNCT
ajst-23758	33	53	x	x	X
ajst-23758	33	54	f	f	NOUN
ajst-23758	33	55	x	x	PUNCT
ajst-23758	33	56	x	x	X
ajst-23758	33	57	x	x	X
ajst-23758	33	58			X
ajst-23758	33	59			X
ajst-23758	33	60			X
ajst-23758	34	1			X
ajst-23758	34	2			X
ajst-23758	34	3			X
ajst-23758	34	4			X
ajst-23758	34	5			X
ajst-23758	34	6			PROPN
ajst-23758	34	7			PROPN
ajst-23758	34	8			ADV
ajst-23758	34	9			PUNCT
ajst-23758	34	10			PROPN
ajst-23758	34	11			PROPN
ajst-23758	34	12			PROPN
ajst-23758	34	13			PUNCT
ajst-23758	34	14			PROPN
ajst-23758	34	15			PROPN
ajst-23758	34	16			PROPN
ajst-23758	34	17			PUNCT
ajst-23758	34	18			PUNCT
ajst-23758	34	19			PRON
ajst-23758	34	20			NUM
ajst-23758	34	21			NUM
ajst-23758	34	22	(	(	PUNCT
ajst-23758	34	23	2	2	NUM
ajst-23758	34	24	)	)	PUNCT
ajst-23758	34	25	kmo	kmo	PROPN
ajst-23758	34	26	and	and	CCONJ
ajst-23758	34	27	bartlett	bartlett	PROPN
ajst-23758	34	28	's	's	PART
ajst-23758	34	29	test	test	NOUN
ajst-23758	34	30	were	be	AUX
ajst-23758	34	31	then	then	ADV
ajst-23758	34	32	performed	perform	VERB
ajst-23758	34	33	to	to	PART
ajst-23758	34	34	determine	determine	VERB
ajst-23758	34	35	if	if	SCONJ
ajst-23758	34	36	a	a	DET
ajst-23758	34	37	principal	principal	ADJ
ajst-23758	34	38	component	component	NOUN
ajst-23758	34	39	analysis	analysis	NOUN
ajst-23758	34	40	could	could	AUX
ajst-23758	34	41	be	be	AUX
ajst-23758	34	42	performed	perform	VERB
ajst-23758	34	43	.	.	PUNCT
ajst-23758	35	1	the	the	DET
ajst-23758	35	2	results	result	NOUN
ajst-23758	35	3	obtained	obtain	VERB
ajst-23758	35	4	are	be	AUX
ajst-23758	35	5	shown	show	VERB
ajst-23758	35	6	in	in	ADP
ajst-23758	35	7	table	table	NOUN
ajst-23758	35	8	2	2	NUM
ajst-23758	35	9	,	,	PUNCT
ajst-23758	35	10	table	table	NOUN
ajst-23758	35	11	3	3	NUM
ajst-23758	35	12	and	and	CCONJ
ajst-23758	35	13	table	table	NOUN
ajst-23758	35	14	4	4	NUM
ajst-23758	35	15	.	.	PUNCT
ajst-23758	35	16	table	table	NOUN
ajst-23758	35	17	2	2	NUM
ajst-23758	35	18	.	.	PUNCT
ajst-23758	35	19	kmo	kmo	PROPN
ajst-23758	35	20	test	test	NOUN
ajst-23758	35	21	and	and	CCONJ
ajst-23758	35	22	bartlett	bartlett	PROPN
ajst-23758	35	23	's	's	PART
ajst-23758	35	24	test	test	NOUN
ajst-23758	35	25	of	of	ADP
ajst-23758	35	26	mentality	mentality	NOUN
ajst-23758	35	27	indicators	indicator	NOUN
ajst-23758	35	28	value	value	NOUN
ajst-23758	35	29	of	of	ADP
ajst-23758	35	30	kmo	kmo	PROPN
ajst-23758	35	31	0.855	0.855	NUM
ajst-23758	35	32	bartlett	bartlett	PROPN
ajst-23758	35	33	sphelicity	sphelicity	PROPN
ajst-23758	35	34	test	test	NOUN
ajst-23758	35	35	approximate	approximate	ADJ
ajst-23758	35	36	chisquared	chisquare	VERB
ajst-23758	35	37	value	value	NOUN
ajst-23758	35	38	13868.993	13868.993	PROPN
ajst-23758	35	39	df	df	PROPN
ajst-23758	35	40	66	66	NUM
ajst-23758	35	41	p	p	NOUN
ajst-23758	35	42	0.000	0.000	NUM
ajst-23758	35	43	*	*	PUNCT
ajst-23758	35	44	*	*	PUNCT
ajst-23758	35	45	*	*	PUNCT
ajst-23758	35	46	table	table	NOUN
ajst-23758	35	47	3	3	NUM
ajst-23758	35	48	.	.	PUNCT
ajst-23758	35	49	kmo	kmo	PROPN
ajst-23758	35	50	test	test	NOUN
ajst-23758	35	51	and	and	CCONJ
ajst-23758	35	52	bartlett	bartlett	PROPN
ajst-23758	35	53	's	's	PART
ajst-23758	35	54	test	test	NOUN
ajst-23758	35	55	of	of	ADP
ajst-23758	35	56	technical	technical	ADJ
ajst-23758	35	57	indicators	indicator	NOUN
ajst-23758	35	58	value	value	NOUN
ajst-23758	35	59	of	of	ADP
ajst-23758	35	60	kmo	kmo	PROPN
ajst-23758	35	61	0.829	0.829	NUM
ajst-23758	35	62	bartlett	bartlett	PROPN
ajst-23758	35	63	sphelicity	sphelicity	PROPN
ajst-23758	35	64	test	test	NOUN
ajst-23758	35	65	approximate	approximate	ADJ
ajst-23758	35	66	chisquared	chisquare	VERB
ajst-23758	35	67	value	value	NOUN
ajst-23758	35	68	87106.585	87106.585	NUM
ajst-23758	35	69	df	df	NOUN
ajst-23758	35	70	136	136	NUM
ajst-23758	35	71	p	p	NOUN
ajst-23758	35	72	0.000	0.000	NUM
ajst-23758	35	73	*	*	PUNCT
ajst-23758	35	74	*	*	PUNCT
ajst-23758	35	75	*	*	PUNCT
ajst-23758	35	76	table	table	NOUN
ajst-23758	35	77	4	4	NUM
ajst-23758	35	78	.	.	PUNCT
ajst-23758	35	79	kmo	kmo	PROPN
ajst-23758	35	80	test	test	NOUN
ajst-23758	35	81	and	and	CCONJ
ajst-23758	35	82	bartlett	bartlett	PROPN
ajst-23758	35	83	's	's	PART
ajst-23758	35	84	test	test	NOUN
ajst-23758	35	85	of	of	ADP
ajst-23758	35	86	exhaustion	exhaustion	NOUN
ajst-23758	35	87	indicators	indicator	NOUN
ajst-23758	35	88	value	value	NOUN
ajst-23758	35	89	of	of	ADP
ajst-23758	35	90	kmo	kmo	PROPN
ajst-23758	35	91	0.895	0.895	NUM
ajst-23758	35	92	bartlett	bartlett	PROPN
ajst-23758	35	93	sphelicity	sphelicity	PROPN
ajst-23758	35	94	test	test	NOUN
ajst-23758	35	95	approximate	approximate	ADJ
ajst-23758	35	96	chisquared	chisquare	VERB
ajst-23758	35	97	value	value	NOUN
ajst-23758	35	98	18340.277	18340.277	NUM
ajst-23758	35	99	df	df	NOUN
ajst-23758	35	100	15	15	NUM
ajst-23758	35	101	p	p	NOUN
ajst-23758	35	102	0.000	0.000	NUM
ajst-23758	35	103	*	*	PUNCT
ajst-23758	35	104	*	*	PUNCT
ajst-23758	35	105	*	*	PUNCT
ajst-23758	35	106	note	note	NOUN
ajst-23758	35	107	:	:	PUNCT
ajst-23758	35	108	*	*	PUNCT
ajst-23758	35	109	*	*	PUNCT
ajst-23758	35	110	*	*	PUNCT
ajst-23758	35	111	,	,	PUNCT
ajst-23758	35	112	*	*	PUNCT
ajst-23758	35	113	*	*	PUNCT
ajst-23758	35	114	and	and	CCONJ
ajst-23758	35	115	*	*	AUX
ajst-23758	35	116	represent	represent	VERB
ajst-23758	35	117	the	the	DET
ajst-23758	35	118	significance	significance	NOUN
ajst-23758	35	119	levels	level	NOUN
ajst-23758	35	120	of	of	ADP
ajst-23758	35	121	1	1	NUM
ajst-23758	35	122	%	%	NOUN
ajst-23758	35	123	,	,	PUNCT
ajst-23758	35	124	5	5	NUM
ajst-23758	35	125	%	%	NOUN
ajst-23758	35	126	and	and	CCONJ
ajst-23758	35	127	10	10	NUM
ajst-23758	35	128	%	%	NOUN
ajst-23758	35	129	,	,	PUNCT
ajst-23758	35	130	respectively	respectively	ADV
ajst-23758	35	131	after	after	ADP
ajst-23758	35	132	testing	testing	NOUN
ajst-23758	35	133	,	,	PUNCT
ajst-23758	35	134	we	we	PRON
ajst-23758	35	135	got	get	VERB
ajst-23758	35	136	the	the	DET
ajst-23758	35	137	following	follow	VERB
ajst-23758	35	138	conclusions	conclusion	NOUN
ajst-23758	35	139	for	for	ADP
ajst-23758	35	140	kmo	kmo	PROPN
ajst-23758	35	141	value:0.8	value:0.8	PROPN
ajst-23758	35	142	is	be	AUX
ajst-23758	35	143	very	very	ADV
ajst-23758	35	144	suitable	suitable	ADJ
ajst-23758	35	145	for	for	ADP
ajst-23758	35	146	component	component	NOUN
ajst-23758	35	147	analysis	analysis	NOUN
ajst-23758	35	148	.	.	PUNCT
ajst-23758	36	1	and	and	CCONJ
ajst-23758	36	2	p	p	NOUN
ajst-23758	36	3	is	be	AUX
ajst-23758	36	4	less	less	ADJ
ajst-23758	36	5	than	than	ADP
ajst-23758	36	6	0.05	0.05	NUM
ajst-23758	36	7	,	,	PUNCT
ajst-23758	36	8	the	the	DET
ajst-23758	36	9	original	original	ADJ
ajst-23758	36	10	hypothesis	hypothesis	NOUN
ajst-23758	36	11	is	be	AUX
ajst-23758	36	12	rejected	reject	VERB
ajst-23758	36	13	,	,	PUNCT
ajst-23758	36	14	which	which	PRON
ajst-23758	36	15	means	mean	VERB
ajst-23758	36	16	that	that	SCONJ
ajst-23758	36	17	principal	principal	ADJ
ajst-23758	36	18	component	component	NOUN
ajst-23758	36	19	analysis	analysis	NOUN
ajst-23758	36	20	can	can	AUX
ajst-23758	36	21	be	be	AUX
ajst-23758	36	22	used	use	VERB
ajst-23758	36	23	.	.	PUNCT
ajst-23758	37	1	then	then	ADV
ajst-23758	37	2	,	,	PUNCT
ajst-23758	37	3	by	by	ADP
ajst-23758	37	4	analyzing	analyze	VERB
ajst-23758	37	5	the	the	DET
ajst-23758	37	6	negative	negative	ADJ
ajst-23758	37	7	coefficients	coefficient	NOUN
ajst-23758	37	8	of	of	ADP
ajst-23758	37	9	the	the	DET
ajst-23758	37	10	principal	principal	ADJ
ajst-23758	37	11	components	component	NOUN
ajst-23758	37	12	and	and	CCONJ
ajst-23758	37	13	the	the	DET
ajst-23758	37	14	heat	heat	NOUN
ajst-23758	37	15	map	map	NOUN
ajst-23758	37	16	correlation	correlation	NOUN
ajst-23758	37	17	coefficient	coefficient	NOUN
ajst-23758	37	18	matrix	matrix	NOUN
ajst-23758	37	19	,	,	PUNCT
ajst-23758	37	20	the	the	DET
ajst-23758	37	21	importance	importance	NOUN
ajst-23758	37	22	degree	degree	NOUN
ajst-23758	37	23	of	of	ADP
ajst-23758	37	24	the	the	DET
ajst-23758	37	25	hidden	hidden	ADJ
ajst-23758	37	26	variables	variable	NOUN
ajst-23758	37	27	in	in	ADP
ajst-23758	37	28	each	each	DET
ajst-23758	37	29	principal	principal	ADJ
ajst-23758	37	30	component	component	NOUN
ajst-23758	37	31	is	be	AUX
ajst-23758	37	32	analyzed	analyze	VERB
ajst-23758	37	33	.	.	PUNCT
ajst-23758	38	1	the	the	DET
ajst-23758	38	2	distribution	distribution	NOUN
ajst-23758	38	3	pattern	pattern	NOUN
ajst-23758	38	4	is	be	AUX
ajst-23758	38	5	shown	show	VERB
ajst-23758	38	6	in	in	ADP
ajst-23758	38	7	fig	fig	NOUN
ajst-23758	38	8	.	.	PUNCT
ajst-23758	39	1	2	2	X
ajst-23758	39	2	.	.	X
ajst-23758	39	3	we	we	PRON
ajst-23758	39	4	obtained	obtain	VERB
ajst-23758	39	5	coefficients	coefficient	NOUN
ajst-23758	39	6	of	of	ADP
ajst-23758	39	7	0.99287	0.99287	NUM
ajst-23758	39	8	and	and	CCONJ
ajst-23758	39	9	0.60321	0.60321	NUM
ajst-23758	39	10	respectively	respectively	ADV
ajst-23758	39	11	,	,	PUNCT
ajst-23758	39	12	which	which	PRON
ajst-23758	39	13	shows	show	VERB
ajst-23758	39	14	that	that	SCONJ
ajst-23758	39	15	the	the	DET
ajst-23758	39	16	two	two	NUM
ajst-23758	39	17	players	player	NOUN
ajst-23758	39	18	present	present	VERB
ajst-23758	39	19	a	a	DET
ajst-23758	39	20	high	high	ADJ
ajst-23758	39	21	level	level	NOUN
ajst-23758	39	22	of	of	ADP
ajst-23758	39	23	performance	performance	NOUN
ajst-23758	39	24	between	between	ADP
ajst-23758	39	25	each	each	DET
ajst-23758	39	26	other	other	ADJ
ajst-23758	39	27	.	.	PUNCT
ajst-23758	40	1	fig	fig	NOUN
ajst-23758	40	2	2	2	NUM
ajst-23758	40	3	.	.	PUNCT
ajst-23758	40	4	correlation	correlation	NOUN
ajst-23758	40	5	icon	icon	NOUN
ajst-23758	40	6	3	3	X
ajst-23758	40	7	.	.	PUNCT
ajst-23758	40	8	predictive	predictive	ADJ
ajst-23758	40	9	modeling	modeling	NOUN
ajst-23758	40	10	after	after	ADP
ajst-23758	40	11	establishing	establish	VERB
ajst-23758	40	12	the	the	DET
ajst-23758	40	13	indicator	indicator	NOUN
ajst-23758	40	14	system	system	NOUN
ajst-23758	40	15	and	and	CCONJ
ajst-23758	40	16	evaluation	evaluation	NOUN
ajst-23758	40	17	mechanism	mechanism	NOUN
ajst-23758	41	1	,	,	PUNCT
ajst-23758	41	2	we	we	PRON
ajst-23758	41	3	combine	combine	VERB
ajst-23758	41	4	machine	machine	NOUN
ajst-23758	41	5	learning	learning	NOUN
ajst-23758	41	6	methods	method	NOUN
ajst-23758	41	7	with	with	ADP
ajst-23758	41	8	traditional	traditional	ADJ
ajst-23758	41	9	models	model	NOUN
ajst-23758	41	10	for	for	ADP
ajst-23758	41	11	subsequent	subsequent	ADJ
ajst-23758	41	12	prediction	prediction	NOUN
ajst-23758	41	13	.	.	PUNCT
ajst-23758	42	1	in	in	ADP
ajst-23758	42	2	classical	classical	ADJ
ajst-23758	42	3	statistics	statistic	NOUN
ajst-23758	42	4	,	,	PUNCT
ajst-23758	42	5	the	the	DET
ajst-23758	42	6	probability	probability	NOUN
ajst-23758	42	7	function	function	VERB
ajst-23758	42	8	that	that	SCONJ
ajst-23758	42	9	the	the	DET
ajst-23758	42	10	aggregate	aggregate	NOUN
ajst-23758	42	11	depends	depend	VERB
ajst-23758	42	12	on	on	ADP
ajst-23758	42	13	a	a	DET
ajst-23758	42	14	certain	certain	ADJ
ajst-23758	42	15	parameter	parameter	NOUN
ajst-23758	42	16	is	be	AUX
ajst-23758	42	17	denoted	denote	VERB
ajst-23758	42	18	.	.	PUNCT
ajst-23758	43	1	he	he	PRON
ajst-23758	43	2	noted	note	VERB
ajst-23758	43	3	that	that	SCONJ
ajst-23758	43	4	different	different	ADJ
ajst-23758	43	5	's	be	AUX
ajst-23758	43	6	in	in	ADP
ajst-23758	43	7	the	the	DET
ajst-23758	43	8	parameter	parameter	NOUN
ajst-23758	43	9	space	space	NOUN
ajst-23758	43	10	correspond	correspond	VERB
ajst-23758	43	11	to	to	ADP
ajst-23758	43	12	different	different	ADJ
ajst-23758	43	13	distributions	distribution	NOUN
ajst-23758	43	14	.	.	PUNCT
ajst-23758	44	1	in	in	ADP
ajst-23758	44	2	bayesian	bayesian	NOUN
ajst-23758	44	3	statistics	statistic	NOUN
ajst-23758	44	4	,	,	PUNCT
ajst-23758	44	5	this	this	PRON
ajst-23758	44	6	is	be	AUX
ajst-23758	44	7	denoted	denote	VERB
ajst-23758	44	8	as	as	ADP
ajst-23758	44	9	.	.	PUNCT
ajst-23758	45	1	it	it	PRON
ajst-23758	45	2	represents	represent	VERB
ajst-23758	45	3	the	the	DET
ajst-23758	45	4	conditional	conditional	ADJ
ajst-23758	45	5	probability	probability	NOUN
ajst-23758	45	6	function	function	NOUN
ajst-23758	45	7	of	of	ADP
ajst-23758	45	8	the	the	DET
ajst-23758	45	9	aggregate	aggregate	NOUN
ajst-23758	45	10	when	when	SCONJ
ajst-23758	45	11	the	the	DET
ajst-23758	45	12	random	random	ADJ
ajst-23758	45	13	variable	variable	NOUN
ajst-23758	45	14	θ	θ	PROPN
ajst-23758	45	15	takes	take	VERB
ajst-23758	45	16	a	a	DET
ajst-23758	45	17	given	give	VERB
ajst-23758	45	18	value	value	NOUN
ajst-23758	45	19	.	.	PUNCT
ajst-23758	46	1	the	the	DET
ajst-23758	46	2	prior	prior	ADJ
ajst-23758	46	3	distribution	distribution	NOUN
ajst-23758	46	4			NOUN
ajst-23758	46	5	θπ	θπ	NOUN
ajst-23758	46	6	can	can	AUX
ajst-23758	46	7	be	be	AUX
ajst-23758	46	8	determined	determine	VERB
ajst-23758	46	9	from	from	ADP
ajst-23758	46	10	the	the	DET
ajst-23758	46	11	prior	prior	ADJ
ajst-23758	46	12	information	information	NOUN
ajst-23758	46	13	of	of	ADP
ajst-23758	46	14	the	the	DET
ajst-23758	46	15	parameter	parameter	NOUN
ajst-23758	46	16	θ	θ	PROPN
ajst-23758	46	17	.	.	PUNCT
ajst-23758	47	1	from	from	ADP
ajst-23758	47	2	a	a	DET
ajst-23758	47	3	bayesian	bayesian	NOUN
ajst-23758	47	4	point	point	NOUN
ajst-23758	47	5	of	of	ADP
ajst-23758	47	6	view	view	NOUN
ajst-23758	47	7	,	,	PUNCT
ajst-23758	47	8	the	the	DET
ajst-23758	47	9	generation	generation	NOUN
ajst-23758	47	10	of	of	ADP
ajst-23758	47	11	sample	sample	NOUN
ajst-23758	47	12			NOUN
ajst-23758	47	13	n1	n1	ADP
ajst-23758	47	14	xx	xx	NUM
ajst-23758	47	15	=	=	NOUN
ajst-23758	47	16	x	x	SYM
ajst-23758	47	17			NOUN
ajst-23758	47	18	consists	consist	VERB
ajst-23758	47	19	of	of	ADP
ajst-23758	47	20	two	two	NUM
ajst-23758	47	21	steps	step	NOUN
ajst-23758	47	22	:	:	PUNCT
ajst-23758	47	23	imagine	imagine	VERB
ajst-23758	47	24	generating	generate	VERB
ajst-23758	47	25	individual	individual	ADJ
ajst-23758	47	26	0θ	0θ	NOUN
ajst-23758	47	27	from	from	ADP
ajst-23758	47	28	the	the	DET
ajst-23758	47	29	prior	prior	ADJ
ajst-23758	47	30	distribution	distribution	NOUN
ajst-23758	47	31			PROPN
ajst-23758	47	32	θπ	θπ	NOUN
ajst-23758	47	33	;	;	PUNCT
ajst-23758	47	34	and	and	CCONJ
ajst-23758	47	35	generating	generate	VERB
ajst-23758	47	36	another	another	DET
ajst-23758	47	37	set	set	NOUN
ajst-23758	47	38	of	of	ADP
ajst-23758	47	39	samples	sample	NOUN
ajst-23758	47	40	from	from	ADP
ajst-23758	47	41			NOUN
ajst-23758	47	42	0θxp	0θxp	PROPN
ajst-23758	47	43	,	,	PUNCT
ajst-23758	47	44	which	which	PRON
ajst-23758	47	45	has	have	VERB
ajst-23758	47	46	a	a	DET
ajst-23758	47	47	joint	joint	ADJ
ajst-23758	47	48	conditional	conditional	ADJ
ajst-23758	47	49	probability	probability	NOUN
ajst-23758	47	50	function	function	NOUN
ajst-23758	47	51	of	of	ADP
ajst-23758	47	52	.	.	PUNCT
ajst-23758	48	1			NOUN
ajst-23758	48	2			SYM
ajst-23758	48	3			NOUN
ajst-23758	48	4			PUNCT
ajst-23758	48	5			NOUN
ajst-23758	48	6	0i	0i	PUNCT
ajst-23758	49	1	n	n	NUM
ajst-23758	50	1	=	=	NOUN
ajst-23758	50	2	1i	1i	NOUN
ajst-23758	50	3	0n10	0n10	X
ajst-23758	50	4	θxp	θxp	PROPN
ajst-23758	50	5	=	=	SYM
ajst-23758	50	6	θx	θx	PROPN
ajst-23758	50	7	,	,	PUNCT
ajst-23758	50	8	xp	xp	NOUN
ajst-23758	50	9	=	=	NOUN
ajst-23758	50	10	θxp	θxp	NOUN
ajst-23758	50	11	∏	∏	NOUN
ajst-23758	50	12	(	(	PUNCT
ajst-23758	50	13	3	3	X
ajst-23758	50	14	)	)	PUNCT
ajst-23758	50	15	this	this	DET
ajst-23758	50	16	distribution	distribution	NOUN
ajst-23758	50	17	integrates	integrate	NOUN
ajst-23758	50	18	aggregate	aggregate	VERB
ajst-23758	50	19	and	and	CCONJ
ajst-23758	50	20	sample	sample	NOUN
ajst-23758	50	21	information	information	NOUN
ajst-23758	50	22	.	.	PUNCT
ajst-23758	51	1	21	21	NUM
ajst-23758	51	2	x	x	NOUN
ajst-23758	51	3	,	,	PUNCT
ajst-23758	51	4	x	x	PROPN
ajst-23758	51	5	3x	3x	NUM
ajst-23758	51	6	θ	θ	X
ajst-23758	51	7			PROPN
ajst-23758	51	8	θxp	θxp	NOUN
ajst-23758	51	9	;	;	PUNCT
ajst-23758	51	10	θ	θ	PROPN
ajst-23758	51	11	θ	θ	NOUN
ajst-23758	51	12			PROPN
ajst-23758	51	13	θxp	θxp	NOUN
ajst-23758	51	14	257	257	NUM
ajst-23758	51	15	0θ	0θ	NOUN
ajst-23758	51	16	is	be	AUX
ajst-23758	51	17	the	the	DET
ajst-23758	51	18	unknown	unknown	ADJ
ajst-23758	51	19	,	,	PUNCT
ajst-23758	51	20	generated	generate	VERB
ajst-23758	51	21	by	by	ADP
ajst-23758	51	22	the	the	DET
ajst-23758	51	23	prior	prior	ADJ
ajst-23758	51	24	distribution	distribution	NOUN
ajst-23758	51	25			PROPN
ajst-23758	51	26	θπ	θπ	NOUN
ajst-23758	51	27	.	.	PUNCT
ajst-23758	52	1	in	in	ADP
ajst-23758	52	2	order	order	NOUN
ajst-23758	52	3	to	to	PART
ajst-23758	52	4	integrate	integrate	VERB
ajst-23758	52	5	the	the	DET
ajst-23758	52	6	a	a	DET
ajst-23758	52	7	priori	priori	ADJ
ajst-23758	52	8	information	information	NOUN
ajst-23758	52	9	,	,	PUNCT
ajst-23758	52	10	we	we	PRON
ajst-23758	52	11	have	have	VERB
ajst-23758	52	12	to	to	PART
ajst-23758	52	13	consider	consider	VERB
ajst-23758	52	14	not	not	PART
ajst-23758	52	15	only	only	ADV
ajst-23758	52	16	0θ	0θ	NOUN
ajst-23758	52	17	,	,	PUNCT
ajst-23758	52	18	but	but	CCONJ
ajst-23758	52	19	also	also	ADV
ajst-23758	52	20	the	the	DET
ajst-23758	52	21	possibility	possibility	NOUN
ajst-23758	52	22	of	of	ADP
ajst-23758	52	23	other	other	ADJ
ajst-23758	52	24	values	value	NOUN
ajst-23758	52	25	of	of	ADP
ajst-23758	52	26	θ	θ	PROPN
ajst-23758	52	27	.	.	PUNCT
ajst-23758	53	1	therefore	therefore	ADV
ajst-23758	53	2	,	,	PUNCT
ajst-23758	53	3	we	we	PRON
ajst-23758	53	4	should	should	AUX
ajst-23758	53	5	integrate	integrate	VERB
ajst-23758	53	6			PROPN
ajst-23758	53	7	θπ	θπ	PROPN
ajst-23758	53	8	.	.	PUNCT
ajst-23758	54	1	the	the	DET
ajst-23758	54	2	joint	joint	ADJ
ajst-23758	54	3	distribution	distribution	NOUN
ajst-23758	54	4	of	of	ADP
ajst-23758	54	5	sample	sample	NOUN
ajst-23758	54	6	x	x	PUNCT
ajst-23758	54	7	and	and	CCONJ
ajst-23758	54	8	parameter	parameter	PROPN
ajst-23758	54	9	θ	θ	PROPN
ajst-23758	54	10	is	be	AUX
ajst-23758	54	11			NOUN
ajst-23758	54	12			PUNCT
ajst-23758	54	13			NOUN
ajst-23758	54	14			SYM
ajst-23758	54	15			NOUN
ajst-23758	54	16			PUNCT
ajst-23758	55	1	xx	xx	NUM
ajst-23758	56	1	p	p	X
ajst-23758	56	2	,	,	PUNCT
ajst-23758	56	3	h	h	NOUN
ajst-23758	56	4			NUM
ajst-23758	56	5	(	(	PUNCT
ajst-23758	56	6	4	4	NUM
ajst-23758	56	7	)	)	PUNCT
ajst-23758	56	8	this	this	DET
ajst-23758	56	9	joint	joint	ADJ
ajst-23758	56	10	distribution	distribution	NOUN
ajst-23758	56	11	combines	combine	VERB
ajst-23758	56	12	aggregate	aggregate	ADJ
ajst-23758	56	13	,	,	PUNCT
ajst-23758	56	14	sample	sample	NOUN
ajst-23758	56	15	,	,	PUNCT
ajst-23758	56	16	and	and	CCONJ
ajst-23758	56	17	prior	prior	ADJ
ajst-23758	56	18	information	information	NOUN
ajst-23758	56	19	,	,	PUNCT
ajst-23758	56	20	as	as	ADV
ajst-23758	56	21	well	well	ADV
ajst-23758	56	22	as	as	ADP
ajst-23758	56	23	all	all	DET
ajst-23758	56	24	three	three	NUM
ajst-23758	56	25	available	available	ADJ
ajst-23758	56	26	information	information	NOUN
ajst-23758	56	27	.	.	PUNCT
ajst-23758	57	1	in	in	ADP
ajst-23758	57	2	the	the	DET
ajst-23758	57	3	absence	absence	NOUN
ajst-23758	57	4	of	of	ADP
ajst-23758	57	5	sample	sample	NOUN
ajst-23758	57	6	information	information	NOUN
ajst-23758	57	7	,	,	PUNCT
ajst-23758	57	8	inferences	inference	NOUN
ajst-23758	57	9	can	can	AUX
ajst-23758	57	10	only	only	ADV
ajst-23758	57	11	be	be	AUX
ajst-23758	57	12	made	make	VERB
ajst-23758	57	13	from	from	ADP
ajst-23758	57	14	the	the	DET
ajst-23758	57	15	prior	prior	ADJ
ajst-23758	57	16	distribution	distribution	NOUN
ajst-23758	57	17	.	.	PUNCT
ajst-23758	58	1	with	with	ADP
ajst-23758	58	2	the	the	DET
ajst-23758	58	3	sample	sample	NOUN
ajst-23758	58	4	observation	observation	NOUN
ajst-23758	58	5			NOUN
ajst-23758	58	6	n1	n1	ADP
ajst-23758	58	7	xx	xx	NUM
ajst-23758	58	8	=	=	NOUN
ajst-23758	58	9	x	x	NOUN
ajst-23758	58	10			NOUN
ajst-23758	58	11	,	,	PUNCT
ajst-23758	58	12	θ	θ	PROPN
ajst-23758	58	13	should	should	AUX
ajst-23758	58	14	be	be	AUX
ajst-23758	58	15	inferred	infer	VERB
ajst-23758	58	16	from	from	ADP
ajst-23758	58	17			NOUN
ajst-23758	58	18	θx	θx	NOUN
ajst-23758	58	19	,	,	PUNCT
ajst-23758	58	20	h	h	NOUN
ajst-23758	58	21	.	.	PUNCT
ajst-23758	59	1	if	if	SCONJ
ajst-23758	59	2			NOUN
ajst-23758	59	3	θx	θx	VERB
ajst-23758	59	4	,	,	PUNCT
ajst-23758	59	5	h	h	NOUN
ajst-23758	59	6	decomposes	decompose	VERB
ajst-23758	59	7	as	as	SCONJ
ajst-23758	59	8	follows	follow	VERB
ajst-23758	59	9	:	:	PUNCT
ajst-23758	59	10			NOUN
ajst-23758	59	11			SYM
ajst-23758	59	12			NOUN
ajst-23758	59	13			SYM
ajst-23758	59	14			NOUN
ajst-23758	59	15	xmxθπ	xmxθπ	SYM
ajst-23758	59	16	=	=	SYM
ajst-23758	59	17	θx	θx	NOUN
ajst-23758	59	18	,	,	PUNCT
ajst-23758	59	19	h	h	NOUN
ajst-23758	59	20	(	(	PUNCT
ajst-23758	59	21	5	5	NUM
ajst-23758	59	22	)	)	PUNCT
ajst-23758	59	23	where	where	SCONJ
ajst-23758	59	24			NOUN
ajst-23758	60	1			SYM
ajst-23758	60	2			NOUN
ajst-23758	60	3			SYM
ajst-23758	60	4			NOUN
ajst-23758	60	5			PUNCT
ajst-23758	60	6			NOUN
ajst-23758	60	7	dθθπθxp	dθθπθxp	NOUN
ajst-23758	60	8	=	=	NOUN
ajst-23758	60	9	dθθx	dθθx	NOUN
ajst-23758	60	10	,	,	PUNCT
ajst-23758	60	11	h	h	NOUN
ajst-23758	60	12	=	=	PROPN
ajst-23758	60	13	xm	xm	PROPN
ajst-23758	60	14	θθ	θθ	NUM
ajst-23758	60	15			ADV
ajst-23758	60	16	is	be	AUX
ajst-23758	60	17	a	a	DET
ajst-23758	60	18	marginal	marginal	ADJ
ajst-23758	60	19	probability	probability	NOUN
ajst-23758	60	20	function	function	NOUN
ajst-23758	60	21	of	of	ADP
ajst-23758	60	22	x	x	X
ajst-23758	60	23	,	,	PUNCT
ajst-23758	60	24	is	be	AUX
ajst-23758	60	25	independent	independent	ADJ
ajst-23758	60	26	of	of	ADP
ajst-23758	60	27	θ	θ	PROPN
ajst-23758	60	28	,	,	PUNCT
ajst-23758	60	29	and	and	CCONJ
ajst-23758	60	30	does	do	AUX
ajst-23758	60	31	not	not	PART
ajst-23758	60	32	contain	contain	VERB
ajst-23758	60	33	any	any	DET
ajst-23758	60	34	information	information	NOUN
ajst-23758	60	35	about	about	ADP
ajst-23758	60	36	θ	θ	PROPN
ajst-23758	60	37	.	.	PUNCT
ajst-23758	61	1	therefore	therefore	ADV
ajst-23758	61	2	,	,	PUNCT
ajst-23758	61	3	only	only	ADV
ajst-23758	61	4	the	the	DET
ajst-23758	61	5	conditional	conditional	ADJ
ajst-23758	61	6	distribution	distribution	NOUN
ajst-23758	61	7			NOUN
ajst-23758	61	8	xθπ	xθπ	CCONJ
ajst-23758	61	9	can	can	AUX
ajst-23758	61	10	be	be	AUX
ajst-23758	61	11	used	use	VERB
ajst-23758	61	12	to	to	PART
ajst-23758	61	13	infer	infer	VERB
ajst-23758	61	14	b	b	NOUN
ajst-23758	61	15	,	,	PUNCT
ajst-23758	61	16	as	as	SCONJ
ajst-23758	61	17	follows	follow	VERB
ajst-23758	61	18	:	:	PUNCT
ajst-23758	61	19			NOUN
ajst-23758	62	1			SYM
ajst-23758	62	2			NOUN
ajst-23758	62	3			SYM
ajst-23758	62	4			NOUN
ajst-23758	62	5			SYM
ajst-23758	62	6			NOUN
ajst-23758	62	7			SYM
ajst-23758	62	8			NOUN
ajst-23758	62	9			SYM
ajst-23758	62	10			NOUN
ajst-23758	62	11			SYM
ajst-23758	62	12			PROPN
ajst-23758	62	13	θ	θ	PROPN
ajst-23758	62	14	dθθπθxp	dθθπθxp	NOUN
ajst-23758	62	15	θπθxp	θπθxp	PROPN
ajst-23758	62	16	=	=	X
ajst-23758	62	17	xm	xm	PROPN
ajst-23758	62	18	θx	θx	PROPN
ajst-23758	62	19	,	,	PUNCT
ajst-23758	62	20	h	h	NOUN
ajst-23758	62	21	=	=	NOUN
ajst-23758	62	22	xθπ	xθπ	NOUN
ajst-23758	62	23	(	(	PUNCT
ajst-23758	62	24	6	6	NUM
ajst-23758	62	25	)	)	PUNCT
ajst-23758	62	26	this	this	DET
ajst-23758	62	27	conditional	conditional	ADJ
ajst-23758	62	28	distribution	distribution	NOUN
ajst-23758	62	29	is	be	AUX
ajst-23758	62	30	called	call	VERB
ajst-23758	62	31	the	the	DET
ajst-23758	62	32	posterior	posterior	ADJ
ajst-23758	62	33	distribution	distribution	NOUN
ajst-23758	62	34	of	of	ADP
ajst-23758	62	35	θ	θ	PROPN
ajst-23758	62	36	,	,	PUNCT
ajst-23758	62	37	and	and	CCONJ
ajst-23758	62	38	it	it	PRON
ajst-23758	62	39	concentrates	concentrate	VERB
ajst-23758	62	40	all	all	DET
ajst-23758	62	41	the	the	DET
ajst-23758	62	42	information	information	NOUN
ajst-23758	62	43	about	about	ADP
ajst-23758	62	44	θ	θ	PROPN
ajst-23758	62	45	from	from	ADP
ajst-23758	62	46	the	the	DET
ajst-23758	62	47	population	population	NOUN
ajst-23758	62	48	,	,	PUNCT
ajst-23758	62	49	the	the	DET
ajst-23758	62	50	sample	sample	NOUN
ajst-23758	62	51	,	,	PUNCT
ajst-23758	62	52	and	and	CCONJ
ajst-23758	62	53	the	the	DET
ajst-23758	62	54	prior	prior	ADJ
ajst-23758	62	55	.	.	PUNCT
ajst-23758	63	1	the	the	DET
ajst-23758	63	2	formula	formula	NOUN
ajst-23758	63	3	for	for	ADP
ajst-23758	63	4	the	the	DET
ajst-23758	63	5	posterior	posterior	ADJ
ajst-23758	63	6	distribution	distribution	NOUN
ajst-23758	63	7			NOUN
ajst-23758	63	8	xθπ	xθπ	ADV
ajst-23758	63	9	is	be	AUX
ajst-23758	63	10	the	the	DET
ajst-23758	63	11	bayesian	bayesian	NOUN
ajst-23758	63	12	formula	formula	NOUN
ajst-23758	63	13	expressed	express	VERB
ajst-23758	63	14	as	as	ADP
ajst-23758	63	15	a	a	DET
ajst-23758	63	16	density	density	NOUN
ajst-23758	63	17	function	function	NOUN
ajst-23758	63	18	and	and	CCONJ
ajst-23758	63	19	the	the	DET
ajst-23758	63	20	result	result	NOUN
ajst-23758	63	21	of	of	ADP
ajst-23758	63	22	the	the	DET
ajst-23758	63	23	adjustment	adjustment	NOUN
ajst-23758	63	24	of	of	ADP
ajst-23758	63	25	the	the	DET
ajst-23758	63	26	prior	prior	ADJ
ajst-23758	63	27	distribution	distribution	NOUN
ajst-23758	63	28			NOUN
ajst-23758	63	29	xθπ	xθπ	CCONJ
ajst-23758	63	30	with	with	ADP
ajst-23758	63	31	the	the	DET
ajst-23758	63	32	population	population	NOUN
ajst-23758	63	33	and	and	CCONJ
ajst-23758	63	34	sample	sample	NOUN
ajst-23758	63	35	,	,	PUNCT
ajst-23758	63	36	which	which	PRON
ajst-23758	63	37	is	be	AUX
ajst-23758	63	38	closer	close	ADJ
ajst-23758	63	39	to	to	ADP
ajst-23758	63	40	the	the	DET
ajst-23758	63	41	reality	reality	NOUN
ajst-23758	63	42	of	of	ADP
ajst-23758	63	43	θ	θ	PROPN
ajst-23758	63	44	than	than	ADP
ajst-23758	63	45	the	the	DET
ajst-23758	63	46	prior	prior	ADJ
ajst-23758	63	47	distribution	distribution	NOUN
ajst-23758	63	48			PROPN
ajst-23758	63	49	θπ	θπ	NOUN
ajst-23758	63	50	.	.	PUNCT
ajst-23758	64	1	the	the	DET
ajst-23758	64	2	posterior	posterior	ADJ
ajst-23758	64	3	distribution	distribution	NOUN
ajst-23758	64	4			NOUN
ajst-23758	64	5	xθπ	xθπ	ADV
ajst-23758	64	6	is	be	AUX
ajst-23758	64	7	the	the	DET
ajst-23758	64	8	bayesian	bayesian	NOUN
ajst-23758	64	9	formula	formula	NOUN
ajst-23758	64	10	with	with	ADP
ajst-23758	64	11	the	the	DET
ajst-23758	64	12	density	density	NOUN
ajst-23758	64	13	function	function	NOUN
ajst-23758	64	14	expressed	express	VERB
ajst-23758	64	15	as	as	ADP
ajst-23758	64	16	a	a	DET
ajst-23758	64	17	density	density	NOUN
ajst-23758	64	18	function	function	NOUN
ajst-23758	64	19	and	and	CCONJ
ajst-23758	64	20	the	the	DET
ajst-23758	64	21	result	result	NOUN
ajst-23758	64	22	of	of	ADP
ajst-23758	64	23	the	the	DET
ajst-23758	64	24	adjustment	adjustment	NOUN
ajst-23758	64	25	of	of	ADP
ajst-23758	64	26	the	the	DET
ajst-23758	64	27	prior	prior	ADJ
ajst-23758	64	28	distribution	distribution	NOUN
ajst-23758	64	29			NOUN
ajst-23758	64	30	xθπ	xθπ	CCONJ
ajst-23758	64	31	with	with	ADP
ajst-23758	64	32	the	the	DET
ajst-23758	64	33	population	population	NOUN
ajst-23758	64	34	and	and	CCONJ
ajst-23758	64	35	sample	sample	NOUN
ajst-23758	64	36	.	.	PUNCT
ajst-23758	65	1	all	all	DET
ajst-23758	65	2	inferences	inference	NOUN
ajst-23758	65	3	in	in	ADP
ajst-23758	65	4	bayesian	bayesian	NOUN
ajst-23758	65	5	statistics	statistic	NOUN
ajst-23758	65	6	are	be	AUX
ajst-23758	65	7	made	make	VERB
ajst-23758	65	8	on	on	ADP
ajst-23758	65	9	the	the	DET
ajst-23758	65	10	basis	basis	NOUN
ajst-23758	65	11	of	of	ADP
ajst-23758	65	12	the	the	DET
ajst-23758	65	13	posterior	posterior	ADJ
ajst-23758	65	14	distribution	distribution	NOUN
ajst-23758	65	15	.	.	PUNCT
ajst-23758	66	1	we	we	PRON
ajst-23758	66	2	most	most	ADV
ajst-23758	66	3	often	often	ADV
ajst-23758	66	4	apply	apply	VERB
ajst-23758	66	5	the	the	DET
ajst-23758	66	6	mean	mean	NOUN
ajst-23758	66	7	of	of	ADP
ajst-23758	66	8	the	the	DET
ajst-23758	66	9	posterior	posterior	ADJ
ajst-23758	66	10	distribution	distribution	NOUN
ajst-23758	66	11	as	as	ADP
ajst-23758	66	12	a	a	DET
ajst-23758	66	13	point	point	NOUN
ajst-23758	66	14	estimate	estimate	NOUN
ajst-23758	66	15	of	of	ADP
ajst-23758	66	16	θ	θ	PROPN
ajst-23758	66	17	,	,	PUNCT
ajst-23758	66	18	called	call	VERB
ajst-23758	66	19	the	the	DET
ajst-23758	66	20	posterior	posterior	ADJ
ajst-23758	66	21	expectation	expectation	NOUN
ajst-23758	66	22	estimate	estimate	NOUN
ajst-23758	66	23	,	,	PUNCT
ajst-23758	66	24	denoted	denote	VERB
ajst-23758	66	25	bθ̂	bθ̂	PROPN
ajst-23758	66	26	.	.	PUNCT
ajst-23758	67	1	the	the	DET
ajst-23758	67	2	mean	mean	NOUN
ajst-23758	67	3	of	of	ADP
ajst-23758	67	4	the	the	DET
ajst-23758	67	5	posterior	posterior	ADJ
ajst-23758	67	6	distribution	distribution	NOUN
ajst-23758	67	7	is	be	AUX
ajst-23758	67	8	the	the	DET
ajst-23758	67	9	mean	mean	NOUN
ajst-23758	67	10	of	of	ADP
ajst-23758	67	11	the	the	DET
ajst-23758	67	12	posterior	posterior	ADJ
ajst-23758	67	13	distribution	distribution	NOUN
ajst-23758	67	14	.	.	PUNCT
ajst-23758	68	1	based	base	VERB
ajst-23758	68	2	on	on	ADP
ajst-23758	68	3	the	the	DET
ajst-23758	68	4	above	above	ADJ
ajst-23758	68	5	conditions	condition	NOUN
ajst-23758	68	6	,	,	PUNCT
ajst-23758	68	7	we	we	PRON
ajst-23758	68	8	visualize	visualize	VERB
ajst-23758	68	9	the	the	DET
ajst-23758	68	10	performance	performance	NOUN
ajst-23758	68	11	of	of	ADP
ajst-23758	68	12	the	the	DET
ajst-23758	68	13	two	two	NUM
ajst-23758	68	14	athletes	athlete	NOUN
ajst-23758	68	15	as	as	SCONJ
ajst-23758	68	16	shown	show	VERB
ajst-23758	68	17	in	in	ADP
ajst-23758	68	18	fig	fig	NOUN
ajst-23758	68	19	.	.	PUNCT
ajst-23758	69	1	3	3	X
ajst-23758	69	2	.	.	X
ajst-23758	69	3	fig	fig	NOUN
ajst-23758	69	4	3	3	NUM
ajst-23758	69	5	.	.	PUNCT
ajst-23758	69	6	2023	2023	NUM
ajst-23758	69	7	-	-	PUNCT
ajst-23758	69	8	winbledon-1301	winbledon-1301	ADJ
ajst-23758	69	9	performance	performance	NOUN
ajst-23758	69	10	of	of	ADP
ajst-23758	69	11	the	the	DET
ajst-23758	69	12	competition	competition	NOUN
ajst-23758	69	13	athletes	athlete	NOUN
ajst-23758	69	14	we	we	PRON
ajst-23758	69	15	combine	combine	VERB
ajst-23758	69	16	the	the	DET
ajst-23758	69	17	above	above	ADJ
ajst-23758	69	18	prediction	prediction	NOUN
ajst-23758	69	19	model	model	NOUN
ajst-23758	69	20	with	with	ADP
ajst-23758	69	21	multiple	multiple	ADJ
ajst-23758	69	22	linear	linear	PROPN
ajst-23758	69	23	regression	regression	NOUN
ajst-23758	69	24	,	,	PUNCT
ajst-23758	69	25	a	a	DET
ajst-23758	69	26	commonly	commonly	ADV
ajst-23758	69	27	used	use	VERB
ajst-23758	69	28	statistical	statistical	ADJ
ajst-23758	69	29	analysis	analysis	NOUN
ajst-23758	69	30	model	model	NOUN
ajst-23758	69	31	for	for	ADP
ajst-23758	69	32	studying	study	VERB
ajst-23758	69	33	the	the	DET
ajst-23758	69	34	effects	effect	NOUN
ajst-23758	69	35	of	of	ADP
ajst-23758	69	36	multiple	multiple	ADJ
ajst-23758	69	37	independent	independent	ADJ
ajst-23758	69	38	variables	variable	NOUN
ajst-23758	69	39	on	on	ADP
ajst-23758	69	40	the	the	DET
ajst-23758	69	41	dependent	dependent	ADJ
ajst-23758	69	42	variable	variable	NOUN
ajst-23758	69	43	.	.	PUNCT
ajst-23758	70	1	the	the	DET
ajst-23758	70	2	general	general	ADJ
ajst-23758	70	3	form	form	NOUN
ajst-23758	70	4	of	of	ADP
ajst-23758	70	5	the	the	DET
ajst-23758	70	6	multiple	multiple	ADJ
ajst-23758	70	7	linear	linear	PROPN
ajst-23758	70	8	regression	regression	NOUN
ajst-23758	70	9	model	model	NOUN
ajst-23758	70	10	is	be	AUX
ajst-23758	70	11	:	:	PUNCT
ajst-23758	70	12	0	0	NUM
ajst-23758	70	13	1	1	NUM
ajst-23758	70	14	1	1	NUM
ajst-23758	70	15	2	2	NUM
ajst-23758	70	16	2	2	NUM
ajst-23758	70	17	3	3	NUM
ajst-23758	70	18	3	3	NUM
ajst-23758	70	19	n	n	PRON
ajst-23758	70	20	ny	ny	NOUN
ajst-23758	71	1	a	a	DET
ajst-23758	71	2	a	a	DET
ajst-23758	71	3	x	x	SYM
ajst-23758	71	4	a	a	DET
ajst-23758	71	5	x	x	SYM
ajst-23758	71	6	a	a	DET
ajst-23758	71	7	x	x	X
ajst-23758	71	8	a	a	DET
ajst-23758	71	9	x	x	PROPN
ajst-23758	71	10			PROPN
ajst-23758	71	11			ADV
ajst-23758	71	12			PUNCT
ajst-23758	71	13			PUNCT
ajst-23758	71	14			X
ajst-23758	71	15	(	(	PUNCT
ajst-23758	71	16	7	7	NUM
ajst-23758	71	17	)	)	PUNCT
ajst-23758	71	18	where	where	SCONJ
ajst-23758	71	19	n	n	PRON
ajst-23758	71	20	is	be	AUX
ajst-23758	71	21	the	the	DET
ajst-23758	71	22	number	number	NOUN
ajst-23758	71	23	of	of	ADP
ajst-23758	71	24	explanatory	explanatory	ADJ
ajst-23758	71	25	variables	variable	NOUN
ajst-23758	71	26	and	and	CCONJ
ajst-23758	71	27	na	na	PART
ajst-23758	71	28	n	n	CCONJ
ajst-23758	71	29	)	)	PUNCT
ajst-23758	71	30	1,2,	1,2,	NUM
ajst-23758	71	31	...	...	PUNCT
ajst-23758	72	1	,=(i	,=(i	PUNCT
ajst-23758	72	2	is	be	AUX
ajst-23758	72	3	the	the	DET
ajst-23758	72	4	regression	regression	NOUN
ajst-23758	72	5	coefficient	coefficient	NOUN
ajst-23758	72	6	of	of	ADP
ajst-23758	72	7	the	the	DET
ajst-23758	72	8	corresponding	corresponding	ADJ
ajst-23758	72	9	variable	variable	NOUN
ajst-23758	72	10	.	.	PUNCT
ajst-23758	73	1	the	the	DET
ajst-23758	73	2	multiple	multiple	ADJ
ajst-23758	73	3	linear	linear	PROPN
ajst-23758	73	4	regression	regression	NOUN
ajst-23758	73	5	model	model	NOUN
ajst-23758	73	6	holds	hold	VERB
ajst-23758	73	7	true	true	ADJ
ajst-23758	73	8	in	in	ADP
ajst-23758	73	9	most	most	ADJ
ajst-23758	73	10	real	real	ADJ
ajst-23758	73	11	-	-	PUNCT
ajst-23758	73	12	world	world	NOUN
ajst-23758	73	13	problems	problem	NOUN
ajst-23758	73	14	where	where	SCONJ
ajst-23758	73	15	there	there	PRON
ajst-23758	73	16	is	be	VERB
ajst-23758	73	17	not	not	PART
ajst-23758	73	18	one	one	NUM
ajst-23758	73	19	but	but	CCONJ
ajst-23758	73	20	multiple	multiple	ADJ
ajst-23758	73	21	factors	factor	NOUN
ajst-23758	73	22	affecting	affect	VERB
ajst-23758	73	23	the	the	DET
ajst-23758	73	24	dependent	dependent	ADJ
ajst-23758	73	25	variable	variable	NOUN
ajst-23758	73	26	,	,	PUNCT
ajst-23758	73	27	which	which	PRON
ajst-23758	73	28	fits	fit	VERB
ajst-23758	73	29	the	the	DET
ajst-23758	73	30	context	context	NOUN
ajst-23758	73	31	of	of	ADP
ajst-23758	73	32	the	the	DET
ajst-23758	73	33	problem	problem	NOUN
ajst-23758	73	34	.	.	PUNCT
ajst-23758	74	1	therefore	therefore	ADV
ajst-23758	74	2	,	,	PUNCT
ajst-23758	74	3	this	this	DET
ajst-23758	74	4	paper	paper	NOUN
ajst-23758	74	5	uses	use	VERB
ajst-23758	74	6	multiple	multiple	ADJ
ajst-23758	74	7	linear	linear	ADJ
ajst-23758	74	8	regression	regression	NOUN
ajst-23758	74	9	analysis	analysis	NOUN
ajst-23758	74	10	to	to	AUX
ajst-23758	74	11	further	far	ADV
ajst-23758	74	12	process	process	VERB
ajst-23758	74	13	the	the	DET
ajst-23758	74	14	data	datum	NOUN
ajst-23758	74	15	.	.	PUNCT
ajst-23758	75	1	in	in	ADP
ajst-23758	75	2	this	this	DET
ajst-23758	75	3	paper	paper	NOUN
ajst-23758	75	4	,	,	PUNCT
ajst-23758	75	5	we	we	PRON
ajst-23758	75	6	will	will	AUX
ajst-23758	75	7	evaluate	evaluate	VERB
ajst-23758	75	8	the	the	DET
ajst-23758	75	9	athlete	athlete	NOUN
ajst-23758	75	10	's	's	PART
ajst-23758	75	11	“	"	PUNCT
ajst-23758	75	12	motivation	motivation	NOUN
ajst-23758	75	13	”	"	PUNCT
ajst-23758	75	14	from	from	ADP
ajst-23758	75	15	the	the	DET
ajst-23758	75	16	three	three	NUM
ajst-23758	75	17	aspects	aspect	NOUN
ajst-23758	75	18	of	of	ADP
ajst-23758	75	19	personal	personal	ADJ
ajst-23758	75	20	technical	technical	ADJ
ajst-23758	75	21	ability	ability	NOUN
ajst-23758	75	22	(	(	PUNCT
ajst-23758	75	23	sy	sy	INTJ
ajst-23758	75	24	)	)	PUNCT
ajst-23758	75	25	,	,	PUNCT
ajst-23758	75	26	fatigue	fatigue	NOUN
ajst-23758	75	27	(	(	PUNCT
ajst-23758	75	28	ey	ey	INTJ
ajst-23758	75	29	)	)	PUNCT
ajst-23758	75	30	and	and	CCONJ
ajst-23758	75	31	real	real	ADJ
ajst-23758	75	32	-	-	PUNCT
ajst-23758	75	33	time	time	NOUN
ajst-23758	75	34	mentality	mentality	NOUN
ajst-23758	75	35	(	(	PUNCT
ajst-23758	75	36	my	my	INTJ
ajst-23758	75	37	)	)	PUNCT
ajst-23758	75	38	,	,	PUNCT
ajst-23758	75	39	which	which	PRON
ajst-23758	75	40	are	be	AUX
ajst-23758	75	41	summarized	summarize	VERB
ajst-23758	75	42	into	into	ADP
ajst-23758	75	43	three	three	NUM
ajst-23758	75	44	parts	part	NOUN
ajst-23758	75	45	based	base	VERB
ajst-23758	75	46	on	on	ADP
ajst-23758	75	47	the	the	DET
ajst-23758	75	48	data	datum	NOUN
ajst-23758	75	49	of	of	ADP
ajst-23758	75	50	the	the	DET
ajst-23758	75	51	above	above	ADJ
ajst-23758	75	52	three	three	NUM
ajst-23758	75	53	aspects	aspect	NOUN
ajst-23758	75	54	,	,	PUNCT
ajst-23758	75	55	and	and	CCONJ
ajst-23758	75	56	each	each	DET
ajst-23758	75	57	part	part	NOUN
ajst-23758	75	58	establishes	establish	VERB
ajst-23758	75	59	a	a	DET
ajst-23758	75	60	regular	regular	ADJ
ajst-23758	75	61	multiple	multiple	ADJ
ajst-23758	75	62	linear	linear	ADJ
ajst-23758	75	63	regression	regression	NOUN
ajst-23758	75	64	model	model	NOUN
ajst-23758	75	65	based	base	VERB
ajst-23758	75	66	on	on	ADP
ajst-23758	75	67	the	the	DET
ajst-23758	75	68	data	datum	NOUN
ajst-23758	75	69	affecting	affect	VERB
ajst-23758	75	70	this	this	DET
ajst-23758	75	71	part	part	NOUN
ajst-23758	75	72	,	,	PUNCT
ajst-23758	75	73	and	and	CCONJ
ajst-23758	75	74	three	three	NUM
ajst-23758	75	75	multiple	multiple	ADJ
ajst-23758	75	76	linear	linear	ADJ
ajst-23758	75	77	regression	regression	NOUN
ajst-23758	75	78	models	model	NOUN
ajst-23758	75	79	are	be	AUX
ajst-23758	75	80	obtained	obtain	VERB
ajst-23758	75	81	.	.	PUNCT
ajst-23758	76	1	15npw14w13ace12rdn11rdd10sdn9sdc8	15npw14w13ace12rdn11rdd10sdn9sdc8	NUM
ajst-23758	76	2	sww7swc6swbw5swbc4swb3sm2sn10s	sww7swc6swbw5swbc4swb3sm2sn10s	NOUN
ajst-23758	76	3	a+xa+xa+xa+xa+xa+xa+xa+	a+xa+xa+xa+xa+xa+xa+xa+	NOUN
ajst-23758	76	4	xa+xa+xa+xa+xa+xa+xa+a	xa+xa+xa+xa+xa+xa+xa+a	PUNCT
ajst-23758	77	1	=	=	PROPN
ajst-23758	77	2	y	y	PROPN
ajst-23758	77	3	(	(	PUNCT
ajst-23758	77	4	8)	8)	NUM
ajst-23758	77	5	where	where	SCONJ
ajst-23758	77	6	sy	sy	PROPN
ajst-23758	77	7	is	be	AUX
ajst-23758	77	8	the	the	DET
ajst-23758	77	9	player	player	NOUN
ajst-23758	77	10	's	's	PART
ajst-23758	77	11	individual	individual	ADJ
ajst-23758	77	12	ability	ability	NOUN
ajst-23758	77	13	,	,	PUNCT
ajst-23758	77	14	ia	ia	PROPN
ajst-23758	77	15	15	15	NUM
ajst-23758	77	16	)	)	PUNCT
ajst-23758	77	17	0,1,2,	0,1,2,	NUM
ajst-23758	77	18	...	...	PUNCT
ajst-23758	77	19	,=(i	,=(i	PUNCT
ajst-23758	77	20	is	be	AUX
ajst-23758	77	21	the	the	DET
ajst-23758	77	22	regression	regression	NOUN
ajst-23758	77	23	coefficient	coefficient	NOUN
ajst-23758	77	24	of	of	ADP
ajst-23758	77	25	the	the	DET
ajst-23758	77	26	corresponding	corresponding	ADJ
ajst-23758	77	27	variable	variable	NOUN
ajst-23758	77	28	,	,	PUNCT
ajst-23758	77	29	snx	snx	NOUN
ajst-23758	77	30	is	be	AUX
ajst-23758	77	31	the	the	DET
ajst-23758	77	32	score	score	NOUN
ajst-23758	77	33	of	of	ADP
ajst-23758	77	34	the	the	DET
ajst-23758	77	35	first	first	ADJ
ajst-23758	77	36	serve	serve	NOUN
ajst-23758	77	37	,	,	PUNCT
ajst-23758	77	38	smx	smx	PROPN
ajst-23758	77	39	is	be	AUX
ajst-23758	77	40	the	the	DET
ajst-23758	77	41	speed	speed	NOUN
ajst-23758	77	42	of	of	ADP
ajst-23758	77	43	the	the	DET
ajst-23758	77	44	serve	serve	NOUN
ajst-23758	77	45	,	,	PUNCT
ajst-23758	77	46	swbx	swbx	NOUN
ajst-23758	77	47	swbcx	swbcx	PROPN
ajst-23758	77	48	,	,	PUNCT
ajst-23758	77	49	swbwx	swbwx	PROPN
ajst-23758	77	50	,	,	PUNCT
ajst-23758	77	51	swcx	swcx	NOUN
ajst-23758	77	52	,	,	PUNCT
ajst-23758	77	53	swwx	swwx	NOUN
ajst-23758	77	54	is	be	AUX
ajst-23758	77	55	the	the	DET
ajst-23758	77	56	body	body	NOUN
ajst-23758	77	57	,	,	PUNCT
ajst-23758	77	58	body	body	NOUN
ajst-23758	77	59	/	/	SYM
ajst-23758	77	60	center	center	NOUN
ajst-23758	77	61	,	,	PUNCT
ajst-23758	77	62	body	body	NOUN
ajst-23758	77	63	/	/	SYM
ajst-23758	77	64	side	side	NOUN
ajst-23758	77	65	,	,	PUNCT
ajst-23758	77	66	center	center	NOUN
ajst-23758	77	67	,	,	PUNCT
ajst-23758	77	68	wide	wide	ADJ
ajst-23758	77	69	in	in	ADP
ajst-23758	77	70	258	258	NUM
ajst-23758	77	71	the	the	DET
ajst-23758	77	72	direction	direction	NOUN
ajst-23758	77	73	of	of	ADP
ajst-23758	77	74	the	the	DET
ajst-23758	77	75	serve	serve	NOUN
ajst-23758	77	76	,	,	PUNCT
ajst-23758	77	77	sdcx	sdcx	PROPN
ajst-23758	77	78	is	be	AUX
ajst-23758	77	79	the	the	DET
ajst-23758	77	80	depth	depth	NOUN
ajst-23758	77	81	of	of	ADP
ajst-23758	77	82	the	the	DET
ajst-23758	77	83	serve	serve	NOUN
ajst-23758	77	84	near	near	ADP
ajst-23758	77	85	the	the	DET
ajst-23758	77	86	line	line	NOUN
ajst-23758	77	87	,	,	PUNCT
ajst-23758	77	88	x	x	X
ajst-23758	77	89	is	be	AUX
ajst-23758	77	90	the	the	DET
ajst-23758	77	91	depth	depth	NOUN
ajst-23758	77	92	of	of	ADP
ajst-23758	77	93	the	the	DET
ajst-23758	77	94	serve	serve	NOUN
ajst-23758	77	95	not	not	PART
ajst-23758	77	96	near	near	ADP
ajst-23758	77	97	the	the	DET
ajst-23758	77	98	line	line	NOUN
ajst-23758	77	99	,	,	PUNCT
ajst-23758	77	100	rddx	rddx	NOUN
ajst-23758	77	101	is	be	AUX
ajst-23758	77	102	the	the	DET
ajst-23758	77	103	depth	depth	NOUN
ajst-23758	77	104	of	of	ADP
ajst-23758	77	105	the	the	DET
ajst-23758	77	106	return	return	NOUN
ajst-23758	77	107	depth	depth	NOUN
ajst-23758	77	108	,	,	PUNCT
ajst-23758	77	109	rdnx	rdnx	NOUN
ajst-23758	77	110	is	be	AUX
ajst-23758	77	111	the	the	DET
ajst-23758	77	112	depth	depth	NOUN
ajst-23758	77	113	of	of	ADP
ajst-23758	77	114	the	the	DET
ajst-23758	77	115	return	return	NOUN
ajst-23758	77	116	depth	depth	NOUN
ajst-23758	77	117	shallowness	shallowness	NOUN
ajst-23758	77	118	,	,	PUNCT
ajst-23758	77	119	acex	acex	NOUN
ajst-23758	77	120	is	be	AUX
ajst-23758	77	121	the	the	DET
ajst-23758	77	122	ace	ace	PROPN
ajst-23758	77	123	ball	ball	NOUN
ajst-23758	77	124	,	,	PUNCT
ajst-23758	77	125	wx	wx	PROPN
ajst-23758	77	126	is	be	AUX
ajst-23758	77	127	the	the	DET
ajst-23758	77	128	player	player	NOUN
ajst-23758	77	129	hitting	hit	VERB
ajst-23758	77	130	an	an	DET
ajst-23758	77	131	untouchable	untouchable	ADJ
ajst-23758	77	132	scoring	scoring	NOUN
ajst-23758	77	133	shot	shot	NOUN
ajst-23758	77	134	,	,	PUNCT
ajst-23758	77	135	and	and	CCONJ
ajst-23758	77	136	x	x	X
ajst-23758	77	137	is	be	AUX
ajst-23758	77	138	a	a	DET
ajst-23758	77	139	player	player	NOUN
ajst-23758	77	140	scoring	score	VERB
ajst-23758	77	141	at	at	ADP
ajst-23758	77	142	the	the	DET
ajst-23758	77	143	net	net	NOUN
ajst-23758	77	144	.	.	PUNCT
ajst-23758	78	1	6rc5dr4gn3sn2t10e	6rc5dr4gn3sn2t10e	NUM
ajst-23758	78	2	bxbxbxbxbxbby	bxbxbxbxbxbby	NOUN
ajst-23758	78	3			VERB
ajst-23758	78	4	(	(	PUNCT
ajst-23758	78	5	9	9	NUM
ajst-23758	78	6	)	)	PUNCT
ajst-23758	78	7	where	where	SCONJ
ajst-23758	78	8	ey	ey	PROPN
ajst-23758	78	9	is	be	AUX
ajst-23758	78	10	the	the	DET
ajst-23758	78	11	athlete	athlete	NOUN
ajst-23758	78	12	's	's	PART
ajst-23758	78	13	fatigue	fatigue	NOUN
ajst-23758	78	14	level	level	NOUN
ajst-23758	78	15	,	,	PUNCT
ajst-23758	78	16	ib	ib	NOUN
ajst-23758	78	17	6	6	NUM
ajst-23758	78	18	)	)	PUNCT
ajst-23758	78	19	0,1,2,	0,1,2,	NUM
ajst-23758	78	20	...	...	PUNCT
ajst-23758	78	21	,=(i	,=(i	PUNCT
ajst-23758	78	22	is	be	AUX
ajst-23758	78	23	the	the	DET
ajst-23758	78	24	regression	regression	NOUN
ajst-23758	78	25	coefficient	coefficient	NOUN
ajst-23758	78	26	of	of	ADP
ajst-23758	78	27	the	the	DET
ajst-23758	78	28	corresponding	corresponding	ADJ
ajst-23758	78	29	variable	variable	NOUN
ajst-23758	78	30	,	,	PUNCT
ajst-23758	78	31	tx	tx	PROPN
ajst-23758	78	32	is	be	AUX
ajst-23758	78	33	the	the	DET
ajst-23758	78	34	time	time	NOUN
ajst-23758	78	35	of	of	ADP
ajst-23758	78	36	the	the	DET
ajst-23758	78	37	game	game	NOUN
ajst-23758	78	38	,	,	PUNCT
ajst-23758	78	39	snx	snx	PROPN
ajst-23758	78	40	is	be	AUX
ajst-23758	78	41	the	the	DET
ajst-23758	78	42	number	number	NOUN
ajst-23758	78	43	of	of	ADP
ajst-23758	78	44	sets	set	NOUN
ajst-23758	78	45	,	,	PUNCT
ajst-23758	78	46	gnx	gnx	PROPN
ajst-23758	78	47	is	be	AUX
ajst-23758	78	48	the	the	DET
ajst-23758	78	49	number	number	NOUN
ajst-23758	78	50	of	of	ADP
ajst-23758	78	51	sets	set	NOUN
ajst-23758	78	52	in	in	ADP
ajst-23758	78	53	the	the	DET
ajst-23758	78	54	set	set	NOUN
ajst-23758	78	55	,	,	PUNCT
ajst-23758	78	56	drx	drx	PROPN
ajst-23758	78	57	is	be	AUX
ajst-23758	78	58	the	the	DET
ajst-23758	78	59	distance	distance	NOUN
ajst-23758	78	60	run	run	VERB
ajst-23758	78	61	by	by	ADP
ajst-23758	78	62	the	the	DET
ajst-23758	78	63	athlete	athlete	NOUN
ajst-23758	78	64	during	during	ADP
ajst-23758	78	65	the	the	DET
ajst-23758	78	66	game	game	NOUN
ajst-23758	78	67	,	,	PUNCT
ajst-23758	78	68	and	and	CCONJ
ajst-23758	78	69	rcx	rcx	PROPN
ajst-23758	78	70	is	be	AUX
ajst-23758	78	71	the	the	DET
ajst-23758	78	72	number	number	NOUN
ajst-23758	78	73	of	of	ADP
ajst-23758	78	74	shots	shot	NOUN
ajst-23758	78	75	taken	take	VERB
ajst-23758	78	76	in	in	ADP
ajst-23758	78	77	the	the	DET
ajst-23758	78	78	section	section	NOUN
ajst-23758	78	79	.	.	PUNCT
ajst-23758	79	1	8np7ue6df5sc4g3s2t10	8np7ue6df5sc4g3s2t10	NUM
ajst-23758	79	2	m	m	VERB
ajst-23758	79	3	c+xc+xc+xc+xc+xc+xc+xc+c	c+xc+xc+xc+xc+xc+xc+xc+c	NOUN
ajst-23758	79	4	=	=	PROPN
ajst-23758	79	5	y	y	PROPN
ajst-23758	79	6	(	(	PUNCT
ajst-23758	79	7	10	10	NUM
ajst-23758	79	8	)	)	PUNCT
ajst-23758	79	9	where	where	SCONJ
ajst-23758	79	10	is	be	AUX
ajst-23758	79	11	the	the	DET
ajst-23758	79	12	player	player	NOUN
ajst-23758	79	13	's	's	PART
ajst-23758	79	14	mentality	mentality	NOUN
ajst-23758	79	15	,	,	PUNCT
ajst-23758	79	16	is	be	AUX
ajst-23758	79	17	the	the	DET
ajst-23758	79	18	regression	regression	NOUN
ajst-23758	79	19	coefficient	coefficient	NOUN
ajst-23758	79	20	of	of	ADP
ajst-23758	79	21	the	the	DET
ajst-23758	79	22	corresponding	corresponding	ADJ
ajst-23758	79	23	variable	variable	NOUN
ajst-23758	79	24	,	,	PUNCT
ajst-23758	79	25	is	be	AUX
ajst-23758	79	26	the	the	DET
ajst-23758	79	27	time	time	NOUN
ajst-23758	79	28	of	of	ADP
ajst-23758	79	29	the	the	DET
ajst-23758	79	30	match	match	NOUN
ajst-23758	79	31	,	,	PUNCT
ajst-23758	79	32	is	be	AUX
ajst-23758	79	33	the	the	DET
ajst-23758	79	34	hand	hand	NOUN
ajst-23758	79	35	,	,	PUNCT
ajst-23758	79	36	is	be	AUX
ajst-23758	79	37	the	the	DET
ajst-23758	79	38	player	player	NOUN
ajst-23758	79	39	winning	win	VERB
ajst-23758	79	40	the	the	DET
ajst-23758	79	41	match	match	NOUN
ajst-23758	79	42	in	in	ADP
ajst-23758	79	43	the	the	DET
ajst-23758	79	44	current	current	ADJ
ajst-23758	79	45	set	set	NOUN
ajst-23758	79	46	,	,	PUNCT
ajst-23758	79	47	is	be	AUX
ajst-23758	79	48	the	the	DET
ajst-23758	79	49	player	player	NOUN
ajst-23758	79	50	winning	win	VERB
ajst-23758	79	51	the	the	DET
ajst-23758	79	52	match	match	NOUN
ajst-23758	79	53	in	in	ADP
ajst-23758	79	54	the	the	DET
ajst-23758	79	55	current	current	ADJ
ajst-23758	79	56	set	set	NOUN
ajst-23758	79	57	,	,	PUNCT
ajst-23758	79	58	is	be	AUX
ajst-23758	79	59	the	the	DET
ajst-23758	79	60	player	player	NOUN
ajst-23758	79	61	serving	serve	VERB
ajst-23758	79	62	twice	twice	ADV
ajst-23758	79	63	and	and	CCONJ
ajst-23758	79	64	scoring	score	VERB
ajst-23758	79	65	a	a	DET
ajst-23758	79	66	point	point	NOUN
ajst-23758	79	67	,	,	PUNCT
ajst-23758	79	68	is	be	AUX
ajst-23758	79	69	the	the	DET
ajst-23758	79	70	player	player	NOUN
ajst-23758	79	71	's	's	PART
ajst-23758	79	72	unforced	unforced	ADJ
ajst-23758	79	73	error	error	NOUN
ajst-23758	79	74	,	,	PUNCT
ajst-23758	79	75	and	and	CCONJ
ajst-23758	79	76	is	be	AUX
ajst-23758	79	77	the	the	DET
ajst-23758	79	78	player	player	NOUN
ajst-23758	79	79	at	at	ADP
ajst-23758	79	80	the	the	DET
ajst-23758	79	81	net	net	NOUN
ajst-23758	79	82	.	.	PUNCT
ajst-23758	80	1	after	after	ADP
ajst-23758	80	2	evaluating	evaluate	VERB
ajst-23758	80	3	the	the	DET
ajst-23758	80	4	athletes	athlete	NOUN
ajst-23758	80	5	'	'	PART
ajst-23758	80	6	technical	technical	ADJ
ajst-23758	80	7	ability	ability	NOUN
ajst-23758	80	8	,	,	PUNCT
ajst-23758	80	9	fatigue	fatigue	NOUN
ajst-23758	80	10	level	level	NOUN
ajst-23758	80	11	and	and	CCONJ
ajst-23758	80	12	real	real	ADJ
ajst-23758	80	13	-	-	PUNCT
ajst-23758	80	14	time	time	NOUN
ajst-23758	80	15	mentality	mentality	NOUN
ajst-23758	80	16	,	,	PUNCT
ajst-23758	80	17	these	these	DET
ajst-23758	80	18	three	three	NUM
ajst-23758	80	19	variables	variable	NOUN
ajst-23758	80	20	were	be	AUX
ajst-23758	80	21	taken	take	VERB
ajst-23758	80	22	as	as	ADP
ajst-23758	80	23	independent	independent	ADJ
ajst-23758	80	24	variables	variable	NOUN
ajst-23758	80	25	affecting	affect	VERB
ajst-23758	80	26	the	the	DET
ajst-23758	80	27	“	"	PUNCT
ajst-23758	80	28	momentum	momentum	NOUN
ajst-23758	80	29	”	"	PUNCT
ajst-23758	80	30	,	,	PUNCT
ajst-23758	80	31	and	and	CCONJ
ajst-23758	80	32	a	a	DET
ajst-23758	80	33	multiple	multiple	ADJ
ajst-23758	80	34	linear	linear	ADJ
ajst-23758	80	35	regression	regression	NOUN
ajst-23758	80	36	model	model	NOUN
ajst-23758	80	37	was	be	AUX
ajst-23758	80	38	established	establish	VERB
ajst-23758	80	39	to	to	PART
ajst-23758	80	40	evaluate	evaluate	VERB
ajst-23758	80	41	the	the	DET
ajst-23758	80	42	“	"	PUNCT
ajst-23758	80	43	momentum	momentum	NOUN
ajst-23758	80	44	”	"	PUNCT
ajst-23758	80	45	of	of	ADP
ajst-23758	80	46	the	the	DET
ajst-23758	80	47	athletes	athlete	NOUN
ajst-23758	80	48	(	(	PUNCT
ajst-23758	80	49	)	)	PUNCT
ajst-23758	80	50	.	.	PUNCT
ajst-23758	81	1	4m3e2s10i	4m3e2s10i	NUM
ajst-23758	82	1	d+yd+yd+yd+d	d+yd+yd+yd+d	X
ajst-23758	82	2	=	=	SYM
ajst-23758	82	3	y	y	PROPN
ajst-23758	82	4	(	(	PUNCT
ajst-23758	82	5	11	11	NUM
ajst-23758	82	6	)	)	PUNCT
ajst-23758	82	7	where	where	SCONJ
ajst-23758	82	8	is	be	AUX
ajst-23758	82	9	the	the	DET
ajst-23758	82	10	regression	regression	NOUN
ajst-23758	82	11	coefficient	coefficient	NOUN
ajst-23758	82	12	of	of	ADP
ajst-23758	82	13	the	the	DET
ajst-23758	82	14	corresponding	corresponding	ADJ
ajst-23758	82	15	variable	variable	NOUN
ajst-23758	82	16	.	.	PUNCT
ajst-23758	83	1	4	4	X
ajst-23758	83	2	.	.	NOUN
ajst-23758	83	3	results	result	VERB
ajst-23758	83	4	4.1	4.1	NUM
ajst-23758	83	5	.	.	PUNCT
ajst-23758	84	1	visualization	visualization	NOUN
ajst-23758	84	2	of	of	ADP
ajst-23758	84	3	predictive	predictive	ADJ
ajst-23758	84	4	model	model	NOUN
ajst-23758	84	5	results	result	NOUN
ajst-23758	84	6	and	and	CCONJ
ajst-23758	84	7	turning	turn	VERB
ajst-23758	84	8	point	point	NOUN
ajst-23758	84	9	prediction	prediction	NOUN
ajst-23758	84	10	we	we	PRON
ajst-23758	84	11	verified	verify	VERB
ajst-23758	84	12	the	the	DET
ajst-23758	84	13	accuracy	accuracy	NOUN
ajst-23758	84	14	and	and	CCONJ
ajst-23758	84	15	robustness	robustness	NOUN
ajst-23758	84	16	of	of	ADP
ajst-23758	84	17	the	the	DET
ajst-23758	84	18	model	model	NOUN
ajst-23758	84	19	using	use	VERB
ajst-23758	84	20	cross	cross	NOUN
ajst-23758	84	21	-	-	ADJ
ajst-23758	84	22	validation	validation	ADJ
ajst-23758	84	23	and	and	CCONJ
ajst-23758	84	24	holdout	holdout	NOUN
ajst-23758	84	25	techniques	technique	NOUN
ajst-23758	84	26	.	.	PUNCT
ajst-23758	85	1	cross	cross	ADJ
ajst-23758	85	2	-	-	NOUN
ajst-23758	85	3	validation	validation	ADJ
ajst-23758	85	4	(	(	PUNCT
ajst-23758	85	5	cv	cv	PROPN
ajst-23758	85	6	)	)	PUNCT
ajst-23758	85	7	is	be	AUX
ajst-23758	85	8	a	a	DET
ajst-23758	85	9	widely	widely	ADV
ajst-23758	85	10	used	use	VERB
ajst-23758	85	11	technique	technique	NOUN
ajst-23758	85	12	for	for	ADP
ajst-23758	85	13	model	model	NOUN
ajst-23758	85	14	evaluation	evaluation	NOUN
ajst-23758	86	1	[	[	X
ajst-23758	86	2	6	6	NUM
ajst-23758	86	3	]	]	PUNCT
ajst-23758	86	4	.	.	PUNCT
ajst-23758	87	1	fig	fig	PROPN
ajst-23758	87	2	4	4	NUM
ajst-23758	87	3	.	.	PUNCT
ajst-23758	87	4	visual	visual	ADJ
ajst-23758	87	5	analysis	analysis	NOUN
ajst-23758	87	6	of	of	ADP
ajst-23758	87	7	winning	win	VERB
ajst-23758	87	8	score	score	NOUN
ajst-23758	87	9	based	base	VERB
ajst-23758	87	10	on	on	ADP
ajst-23758	87	11	prediction	prediction	NOUN
ajst-23758	87	12	model	model	NOUN
ajst-23758	87	13	fig	fig	NOUN
ajst-23758	87	14	5	5	NUM
ajst-23758	87	15	.	.	PUNCT
ajst-23758	88	1	validation	validation	NOUN
ajst-23758	88	2	of	of	ADP
ajst-23758	88	3	model	model	NOUN
ajst-23758	88	4	results	result	NOUN
ajst-23758	88	5	by	by	ADP
ajst-23758	88	6	influence	influence	NOUN
ajst-23758	88	7	indicators	indicator	NOUN
ajst-23758	88	8	the	the	DET
ajst-23758	88	9	above	above	ADJ
ajst-23758	88	10	prediction	prediction	NOUN
ajst-23758	88	11	model	model	NOUN
ajst-23758	88	12	allows	allow	VERB
ajst-23758	88	13	us	we	PRON
ajst-23758	88	14	to	to	PART
ajst-23758	88	15	know	know	VERB
ajst-23758	88	16	at	at	ADP
ajst-23758	88	17	which	which	DET
ajst-23758	88	18	point	point	NOUN
ajst-23758	88	19	in	in	ADP
ajst-23758	88	20	time	time	NOUN
ajst-23758	88	21	or	or	CCONJ
ajst-23758	88	22	stage	stage	NOUN
ajst-23758	88	23	of	of	ADP
ajst-23758	88	24	the	the	DET
ajst-23758	88	25	game	game	NOUN
ajst-23758	88	26	the	the	DET
ajst-23758	88	27	trend	trend	NOUN
ajst-23758	88	28	of	of	ADP
ajst-23758	88	29	the	the	DET
ajst-23758	88	30	winning	win	VERB
ajst-23758	88	31	percentage	percentage	NOUN
ajst-23758	88	32	changes	change	NOUN
ajst-23758	88	33	significantly	significantly	ADV
ajst-23758	88	34	.	.	PUNCT
ajst-23758	89	1	based	base	VERB
ajst-23758	89	2	on	on	ADP
ajst-23758	89	3	the	the	DET
ajst-23758	89	4	calculation	calculation	NOUN
ajst-23758	89	5	results	result	NOUN
ajst-23758	89	6	of	of	ADP
ajst-23758	89	7	the	the	DET
ajst-23758	89	8	above	above	ADJ
ajst-23758	89	9	model	model	NOUN
ajst-23758	89	10	,	,	PUNCT
ajst-23758	89	11	we	we	PRON
ajst-23758	89	12	randomly	randomly	ADV
ajst-23758	89	13	selected	select	VERB
ajst-23758	89	14	the	the	DET
ajst-23758	89	15	players	player	NOUN
ajst-23758	89	16	of	of	ADP
ajst-23758	89	17	four	four	NUM
ajst-23758	89	18	matches	match	NOUN
ajst-23758	89	19	,	,	PUNCT
ajst-23758	89	20	and	and	CCONJ
ajst-23758	89	21	visualized	visualize	VERB
ajst-23758	89	22	their	their	PRON
ajst-23758	89	23	scores	score	NOUN
ajst-23758	89	24	and	and	CCONJ
ajst-23758	89	25	winning	win	VERB
ajst-23758	89	26	percentages	percentage	NOUN
ajst-23758	89	27	,	,	PUNCT
ajst-23758	89	28	as	as	SCONJ
ajst-23758	89	29	shown	show	VERB
ajst-23758	89	30	in	in	ADP
ajst-23758	89	31	fig	fig	NOUN
ajst-23758	89	32	.	.	PUNCT
ajst-23758	90	1	4	4	X
ajst-23758	90	2	.	.	X
ajst-23758	90	3	my	my	PRON
ajst-23758	90	4	ic	ic	PROPN
ajst-23758	90	5	8)	8)	NUM
ajst-23758	90	6	0,1,2,	0,1,2,	NUM
ajst-23758	90	7	...	...	PUNCT
ajst-23758	90	8	,=(i	,=(i	PUNCT
ajst-23758	90	9	tx	tx	PROPN
ajst-23758	90	10	sx	sx	PROPN
ajst-23758	90	11	gx	gx	PROPN
ajst-23758	90	12	scx	scx	PROPN
ajst-23758	90	13	dfx	dfx	PROPN
ajst-23758	90	14	uex	uex	PROPN
ajst-23758	90	15	npx	npx	NOUN
ajst-23758	90	16	iy	iy	PROPN
ajst-23758	90	17	i	i	PROPN
ajst-23758	90	18	d	d	PROPN
ajst-23758	90	19	0,1,2,3,4)=(i	0,1,2,3,4)=(i	PROPN
ajst-23758	90	20	259	259	NUM
ajst-23758	90	21	then	then	ADV
ajst-23758	90	22	,	,	PUNCT
ajst-23758	90	23	the	the	DET
ajst-23758	90	24	model	model	NOUN
ajst-23758	90	25	analyzes	analyze	VERB
ajst-23758	90	26	the	the	DET
ajst-23758	90	27	historical	historical	ADJ
ajst-23758	90	28	data	datum	NOUN
ajst-23758	90	29	of	of	ADP
ajst-23758	90	30	past	past	ADJ
ajst-23758	90	31	players	player	NOUN
ajst-23758	90	32	and	and	CCONJ
ajst-23758	90	33	retrains	retrain	VERB
ajst-23758	90	34	the	the	DET
ajst-23758	90	35	model	model	NOUN
ajst-23758	90	36	to	to	PART
ajst-23758	90	37	simulate	simulate	VERB
ajst-23758	90	38	the	the	DET
ajst-23758	90	39	battle	battle	NOUN
ajst-23758	90	40	process	process	NOUN
ajst-23758	90	41	.	.	PUNCT
ajst-23758	91	1	as	as	SCONJ
ajst-23758	91	2	shown	show	VERB
ajst-23758	91	3	in	in	ADP
ajst-23758	91	4	fig	fig	NOUN
ajst-23758	91	5	.	.	PUNCT
ajst-23758	92	1	5	5	NUM
ajst-23758	92	2	.	.	X
ajst-23758	92	3	with	with	ADP
ajst-23758	92	4	the	the	DET
ajst-23758	92	5	visualization	visualization	NOUN
ajst-23758	92	6	above	above	ADV
ajst-23758	92	7	,	,	PUNCT
ajst-23758	92	8	it	it	PRON
ajst-23758	92	9	is	be	AUX
ajst-23758	92	10	not	not	PART
ajst-23758	92	11	difficult	difficult	ADJ
ajst-23758	92	12	to	to	PART
ajst-23758	92	13	arrive	arrive	VERB
ajst-23758	92	14	at	at	ADP
ajst-23758	92	15	a	a	DET
ajst-23758	92	16	specific	specific	ADJ
ajst-23758	92	17	reason	reason	NOUN
ajst-23758	92	18	for	for	ADP
ajst-23758	92	19	the	the	DET
ajst-23758	92	20	momentum	momentum	NOUN
ajst-23758	92	21	error	error	NOUN
ajst-23758	92	22	conclusion	conclusion	NOUN
ajst-23758	92	23	:	:	PUNCT
ajst-23758	92	24	in	in	ADP
ajst-23758	92	25	past	past	ADJ
ajst-23758	92	26	matches	match	NOUN
ajst-23758	92	27	,	,	PUNCT
ajst-23758	92	28	the	the	DET
ajst-23758	92	29	player	player	NOUN
ajst-23758	92	30	has	have	AUX
ajst-23758	92	31	built	build	VERB
ajst-23758	92	32	up	up	ADP
ajst-23758	92	33	an	an	DET
ajst-23758	92	34	advantage	advantage	NOUN
ajst-23758	92	35	,	,	PUNCT
ajst-23758	92	36	such	such	ADJ
ajst-23758	92	37	as	as	ADP
ajst-23758	92	38	winning	win	VERB
ajst-23758	92	39	one	one	NUM
ajst-23758	92	40	more	more	ADJ
ajst-23758	92	41	game	game	NOUN
ajst-23758	92	42	or	or	CCONJ
ajst-23758	92	43	even	even	ADV
ajst-23758	92	44	more	more	ADJ
ajst-23758	92	45	games	game	NOUN
ajst-23758	92	46	,	,	PUNCT
ajst-23758	92	47	which	which	PRON
ajst-23758	92	48	continues	continue	VERB
ajst-23758	92	49	to	to	PART
ajst-23758	92	50	build	build	VERB
ajst-23758	92	51	up	up	ADP
ajst-23758	92	52	an	an	DET
ajst-23758	92	53	advantage	advantage	NOUN
ajst-23758	92	54	for	for	ADP
ajst-23758	92	55	the	the	DET
ajst-23758	92	56	player	player	NOUN
ajst-23758	92	57	.	.	PUNCT
ajst-23758	93	1	we	we	PRON
ajst-23758	93	2	get	get	VERB
ajst-23758	93	3	this	this	DET
ajst-23758	93	4	judgment	judgment	NOUN
ajst-23758	93	5	contrary	contrary	ADV
ajst-23758	93	6	to	to	ADP
ajst-23758	93	7	the	the	DET
ajst-23758	93	8	fact	fact	NOUN
ajst-23758	93	9	.	.	PUNCT
ajst-23758	94	1	so	so	ADV
ajst-23758	94	2	,	,	PUNCT
ajst-23758	94	3	we	we	PRON
ajst-23758	94	4	need	need	VERB
ajst-23758	94	5	to	to	PART
ajst-23758	94	6	redesign	redesign	VERB
ajst-23758	94	7	the	the	DET
ajst-23758	94	8	cumulative	cumulative	ADJ
ajst-23758	94	9	momentum	momentum	NOUN
ajst-23758	94	10	between	between	ADP
ajst-23758	94	11	players	player	NOUN
ajst-23758	94	12	and	and	CCONJ
ajst-23758	94	13	predict	predict	VERB
ajst-23758	94	14	the	the	DET
ajst-23758	94	15	momentum	momentum	NOUN
ajst-23758	94	16	based	base	VERB
ajst-23758	94	17	on	on	ADP
ajst-23758	94	18	that	that	PRON
ajst-23758	94	19	.	.	PUNCT
ajst-23758	95	1	here	here	ADV
ajst-23758	95	2	's	be	AUX
ajst-23758	95	3	how	how	SCONJ
ajst-23758	95	4	to	to	PART
ajst-23758	95	5	design	design	VERB
ajst-23758	95	6	momentum	momentum	NOUN
ajst-23758	95	7	.	.	PUNCT
ajst-23758	96	1	we	we	PRON
ajst-23758	96	2	have	have	VERB
ajst-23758	96	3	the	the	DET
ajst-23758	96	4	following	follow	VERB
ajst-23758	96	5	equation	equation	NOUN
ajst-23758	96	6	.	.	PUNCT
ajst-23758	97	1	(	(	PUNCT
ajst-23758	97	2	12	12	NUM
ajst-23758	97	3	)	)	PUNCT
ajst-23758	97	4	among	among	ADP
ajst-23758	97	5	other	other	ADJ
ajst-23758	97	6	things	thing	NOUN
ajst-23758	97	7	,	,	PUNCT
ajst-23758	97	8	we	we	PRON
ajst-23758	97	9	improved	improve	VERB
ajst-23758	97	10	the	the	DET
ajst-23758	97	11	win	win	NOUN
ajst-23758	97	12	factor	factor	NOUN
ajst-23758	97	13	by	by	ADP
ajst-23758	97	14	adding	add	VERB
ajst-23758	97	15	the	the	DET
ajst-23758	97	16	effect	effect	NOUN
ajst-23758	97	17	of	of	ADP
ajst-23758	97	18	multiple	multiple	ADJ
ajst-23758	97	19	past	past	ADJ
ajst-23758	97	20	balls	ball	NOUN
ajst-23758	97	21	on	on	ADP
ajst-23758	97	22	the	the	DET
ajst-23758	97	23	current	current	ADJ
ajst-23758	97	24	momentum	momentum	NOUN
ajst-23758	97	25	,	,	PUNCT
ajst-23758	97	26	not	not	PART
ajst-23758	97	27	just	just	ADV
ajst-23758	97	28	the	the	DET
ajst-23758	97	29	effect	effect	NOUN
ajst-23758	97	30	of	of	ADP
ajst-23758	97	31	the	the	DET
ajst-23758	97	32	last	last	ADJ
ajst-23758	97	33	ball	ball	NOUN
ajst-23758	97	34	on	on	ADP
ajst-23758	97	35	the	the	DET
ajst-23758	97	36	current	current	ADJ
ajst-23758	97	37	momentum	momentum	NOUN
ajst-23758	97	38	.	.	PUNCT
ajst-23758	98	1			NOUN
ajst-23758	98	2	n0.5	n0.5	PROPN
ajst-23758	98	3	-	-	NOUN
ajst-23758	98	4	1×win×0.2	1×win×0.2	NUM
ajst-23758	98	5	+	+	NOUN
ajst-23758	98	6	1	1	NUM
ajst-23758	98	7	=	=	NOUN
ajst-23758	98	8	β	β	X
ajst-23758	98	9	(	(	PUNCT
ajst-23758	98	10	13	13	NUM
ajst-23758	98	11	)	)	PUNCT
ajst-23758	98	12	where	where	SCONJ
ajst-23758	98	13	n	n	PRON
ajst-23758	98	14	is	be	AUX
ajst-23758	98	15	the	the	DET
ajst-23758	98	16	number	number	NOUN
ajst-23758	98	17	of	of	ADP
ajst-23758	98	18	wins	win	NOUN
ajst-23758	98	19	in	in	ADP
ajst-23758	98	20	the	the	DET
ajst-23758	98	21	last	last	ADJ
ajst-23758	98	22	n	n	NOUN
ajst-23758	98	23	matches	match	NOUN
ajst-23758	98	24	.	.	PUNCT
ajst-23758	99	1	the	the	DET
ajst-23758	99	2	exponential	exponential	ADJ
ajst-23758	99	3	correlation	correlation	NOUN
ajst-23758	99	4	of	of	ADP
ajst-23758	99	5	power	power	NOUN
ajst-23758	99	6	affecting	affecting	NOUN
ajst-23758	99	7	wins	win	NOUN
ajst-23758	99	8	is	be	AUX
ajst-23758	99	9	obtained	obtain	VERB
ajst-23758	99	10	,	,	PUNCT
ajst-23758	99	11	as	as	SCONJ
ajst-23758	99	12	shown	show	VERB
ajst-23758	99	13	in	in	ADP
ajst-23758	99	14	table	table	NOUN
ajst-23758	99	15	5	5	NUM
ajst-23758	99	16	.	.	PUNCT
ajst-23758	99	17	table	table	NOUN
ajst-23758	99	18	5	5	NUM
ajst-23758	99	19	.	.	PUNCT
ajst-23758	99	20	correlation	correlation	NOUN
ajst-23758	99	21	degree	degree	NOUN
ajst-23758	99	22	of	of	ADP
ajst-23758	99	23	predicted	predict	VERB
ajst-23758	99	24	winning	win	VERB
ajst-23758	99	25	rate	rate	NOUN
ajst-23758	99	26	through	through	ADP
ajst-23758	99	27	improved	improved	ADJ
ajst-23758	99	28	momentum	momentum	NOUN
ajst-23758	99	29	evaluate	evaluate	VERB
ajst-23758	99	30	item	item	NOUN
ajst-23758	99	31	correlation	correlation	NOUN
ajst-23758	99	32	degree	degree	NOUN
ajst-23758	99	33	ranking	rank	VERB
ajst-23758	99	34	p1_double_fault	p1_double_fault	NOUN
ajst-23758	99	35	0.977	0.977	NUM
ajst-23758	99	36	1	1	NUM
ajst-23758	99	37	p2_unf_err	p2_unf_err	NUM
ajst-23758	99	38	0.966	0.966	NUM
ajst-23758	99	39	2	2	NUM
ajst-23758	99	40	p1_net_pt	p1_net_pt	NOUN
ajst-23758	99	41	0.963	0.963	NUM
ajst-23758	99	42	3	3	NUM
ajst-23758	99	43	p1_unf_err	p1_unf_err	NOUN
ajst-23758	99	44	0.962	0.962	NUM
ajst-23758	99	45	4	4	NUM
ajst-23758	99	46	p2_net_pt	p2_net_pt	NUM
ajst-23758	99	47	0.962	0.962	NUM
ajst-23758	99	48	5	5	NUM
ajst-23758	99	49	p1_sets	p1_set	NOUN
ajst-23758	99	50	0.958	0.958	NUM
ajst-23758	99	51	6	6	NUM
ajst-23758	99	52	p2_sets	p2_set	NOUN
ajst-23758	99	53	0.958	0.958	NUM
ajst-23758	99	54	7	7	NUM
ajst-23758	99	55	p1_games	p1_game	NOUN
ajst-23758	99	56	0.957	0.957	NUM
ajst-23758	99	57	8	8	NUM
ajst-23758	99	58	p2_games	p2_game	NOUN
ajst-23758	99	59	0.957	0.957	NUM
ajst-23758	99	60	9	9	NUM
ajst-23758	99	61	we	we	PRON
ajst-23758	99	62	have	have	AUX
ajst-23758	99	63	weakened	weaken	VERB
ajst-23758	99	64	the	the	DET
ajst-23758	99	65	effect	effect	NOUN
ajst-23758	99	66	of	of	ADP
ajst-23758	99	67	existing	exist	VERB
ajst-23758	99	68	advantages	advantage	NOUN
ajst-23758	99	69	on	on	ADP
ajst-23758	99	70	momentum	momentum	NOUN
ajst-23758	99	71	and	and	CCONJ
ajst-23758	99	72	further	far	ADV
ajst-23758	99	73	strengthened	strengthen	VERB
ajst-23758	99	74	the	the	DET
ajst-23758	99	75	effect	effect	NOUN
ajst-23758	99	76	of	of	ADP
ajst-23758	99	77	the	the	DET
ajst-23758	99	78	winning	win	VERB
ajst-23758	99	79	mechanism	mechanism	NOUN
ajst-23758	99	80	on	on	ADP
ajst-23758	99	81	momentum	momentum	NOUN
ajst-23758	99	82	in	in	ADP
ajst-23758	99	83	the	the	DET
ajst-23758	99	84	short	short	ADJ
ajst-23758	99	85	term	term	NOUN
ajst-23758	99	86	.	.	PUNCT
ajst-23758	100	1	4.2	4.2	NUM
ajst-23758	100	2	.	.	PUNCT
ajst-23758	100	3	extension	extension	NOUN
ajst-23758	100	4	and	and	CCONJ
ajst-23758	100	5	feasibility	feasibility	NOUN
ajst-23758	100	6	analysis	analysis	NOUN
ajst-23758	100	7	of	of	ADP
ajst-23758	100	8	momentum	momentum	NOUN
ajst-23758	100	9	conversion	conversion	NOUN
ajst-23758	100	10	models	model	NOUN
ajst-23758	100	11	we	we	PRON
ajst-23758	100	12	used	use	VERB
ajst-23758	100	13	our	our	PRON
ajst-23758	100	14	model	model	NOUN
ajst-23758	100	15	to	to	PART
ajst-23758	100	16	test	test	VERB
ajst-23758	100	17	it	it	PRON
ajst-23758	100	18	on	on	ADP
ajst-23758	100	19	other	other	ADJ
ajst-23758	100	20	matches	match	NOUN
ajst-23758	100	21	.	.	PUNCT
ajst-23758	101	1	to	to	PART
ajst-23758	101	2	improve	improve	VERB
ajst-23758	101	3	readability	readability	NOUN
ajst-23758	101	4	,	,	PUNCT
ajst-23758	101	5	we	we	PRON
ajst-23758	101	6	inverted	invert	VERB
ajst-23758	101	7	the	the	DET
ajst-23758	101	8	results	result	NOUN
ajst-23758	101	9	of	of	ADP
ajst-23758	101	10	the	the	DET
ajst-23758	101	11	same	same	ADJ
ajst-23758	101	12	matches	match	NOUN
ajst-23758	101	13	and	and	CCONJ
ajst-23758	101	14	our	our	PRON
ajst-23758	101	15	predicted	predict	VERB
ajst-23758	101	16	momentum	momentum	NOUN
ajst-23758	101	17	into	into	ADP
ajst-23758	101	18	the	the	DET
ajst-23758	101	19	same	same	ADJ
ajst-23758	101	20	table	table	NOUN
ajst-23758	101	21	.	.	PUNCT
ajst-23758	102	1	the	the	DET
ajst-23758	102	2	results	result	NOUN
ajst-23758	102	3	are	be	AUX
ajst-23758	102	4	shown	show	VERB
ajst-23758	102	5	in	in	ADP
ajst-23758	102	6	fig	fig	NOUN
ajst-23758	102	7	.	.	PUNCT
ajst-23758	103	1	6	6	NUM
ajst-23758	103	2	.	.	PUNCT
ajst-23758	104	1	the	the	DET
ajst-23758	104	2	blue	blue	ADJ
ajst-23758	104	3	dashed	dash	VERB
ajst-23758	104	4	line	line	NOUN
ajst-23758	104	5	represents	represent	VERB
ajst-23758	104	6	our	our	PRON
ajst-23758	104	7	prediction	prediction	NOUN
ajst-23758	104	8	of	of	ADP
ajst-23758	104	9	the	the	DET
ajst-23758	104	10	momentum	momentum	NOUN
ajst-23758	104	11	of	of	ADP
ajst-23758	104	12	the	the	DET
ajst-23758	104	13	game	game	NOUN
ajst-23758	104	14	,	,	PUNCT
ajst-23758	104	15	where	where	SCONJ
ajst-23758	104	16	1	1	NUM
ajst-23758	104	17	denotes	denote	NOUN
ajst-23758	104	18	momentum	momentum	NOUN
ajst-23758	104	19	against	against	ADP
ajst-23758	104	20	player_1	player_1	NOUN
ajst-23758	104	21	,	,	PUNCT
ajst-23758	104	22	-1	-1	PUNCT
ajst-23758	104	23	denotes	denote	VERB
ajst-23758	104	24	momentum	momentum	NOUN
ajst-23758	104	25	against	against	ADP
ajst-23758	104	26	player_2	player_2	PROPN
ajst-23758	104	27	,	,	PUNCT
ajst-23758	104	28	and	and	CCONJ
ajst-23758	104	29	0	0	NUM
ajst-23758	104	30	denotes	denote	NOUN
ajst-23758	104	31	that	that	SCONJ
ajst-23758	104	32	there	there	PRON
ajst-23758	104	33	is	be	VERB
ajst-23758	104	34	no	no	DET
ajst-23758	104	35	significant	significant	ADJ
ajst-23758	104	36	inversion	inversion	NOUN
ajst-23758	104	37	of	of	ADP
ajst-23758	104	38	momentum	momentum	NOUN
ajst-23758	104	39	.	.	PUNCT
ajst-23758	105	1	fig	fig	NOUN
ajst-23758	105	2	6	6	NUM
ajst-23758	105	3	.	.	PUNCT
ajst-23758	106	1	momentum	momentum	NOUN
ajst-23758	106	2	prediction	prediction	NOUN
ajst-23758	106	3	results	result	NOUN
ajst-23758	106	4	for	for	ADP
ajst-23758	106	5	different	different	ADJ
ajst-23758	106	6	iterations	iteration	NOUN
ajst-23758	106	7	4.3	4.3	NUM
ajst-23758	106	8	.	.	PUNCT
ajst-23758	107	1	analysis	analysis	NOUN
ajst-23758	107	2	of	of	ADP
ajst-23758	107	3	the	the	DET
ajst-23758	107	4	results	result	NOUN
ajst-23758	107	5	fig	fig	NOUN
ajst-23758	107	6	7	7	NUM
ajst-23758	107	7	.	.	PUNCT
ajst-23758	108	1	correlation	correlation	NOUN
ajst-23758	108	2	matrix	matrix	NOUN
ajst-23758	108	3	between	between	ADP
ajst-23758	108	4	main	main	ADJ
ajst-23758	108	5	indicators	indicator	NOUN
ajst-23758	108	6	the	the	DET
ajst-23758	108	7	situation	situation	NOUN
ajst-23758	108	8	related	relate	VERB
ajst-23758	108	9	to	to	ADP
ajst-23758	108	10	unexpected	unexpected	ADJ
ajst-23758	108	11	performance	performance	NOUN
ajst-23758	108	12	in	in	ADP
ajst-23758	108	13	the	the	DET
ajst-23758	108	14	game	game	NOUN
ajst-23758	108	15	was	be	AUX
ajst-23758	108	16	analyzed	analyze	VERB
ajst-23758	108	17	,	,	PUNCT
ajst-23758	108	18	and	and	CCONJ
ajst-23758	108	19	the	the	DET
ajst-23758	108	20	results	result	NOUN
ajst-23758	108	21	of	of	ADP
ajst-23758	108	22	the	the	DET
ajst-23758	108	23	game	game	NOUN
ajst-23758	108	24	were	be	AUX
ajst-23758	108	25	compared	compare	VERB
ajst-23758	108	26	with	with	ADP
ajst-23758	108	27	the	the	DET
ajst-23758	108	28	actual	actual	ADJ
ajst-23758	108	29	results	result	NOUN
ajst-23758	108	30	based	base	VERB
ajst-23758	108	31	on	on	ADP
ajst-23758	108	32	the	the	DET
ajst-23758	108	33	momentum	momentum	NOUN
ajst-23758	108	34	changes	change	NOUN
ajst-23758	108	35	in	in	ADP
ajst-23758	108	36	the	the	DET
ajst-23758	108	37	model	model	NOUN
ajst-23758	108	38	.	.	PUNCT
ajst-23758	109	1	a	a	DET
ajst-23758	109	2	series	series	NOUN
ajst-23758	109	3	of	of	ADP
ajst-23758	109	4	accurate	accurate	ADJ
ajst-23758	109	5	metrics	metric	NOUN
ajst-23758	109	6	for	for	ADP
ajst-23758	109	7	interpreting	interpret	VERB
ajst-23758	109	8	turning	turning	NOUN
ajst-23758	109	9	points	point	NOUN
ajst-23758	109	10	,	,	PUNCT
ajst-23758	109	11	breakpoints	breakpoint	NOUN
ajst-23758	109	12	and	and	CCONJ
ajst-23758	109	13	consecutive	consecutive	ADJ
ajst-23758	109	14	scores	score	NOUN
ajst-23758	109	15	were	be	AUX
ajst-23758	109	16	obtained	obtain	VERB
ajst-23758	109	17	to	to	PART
ajst-23758	109	18	obtain	obtain	VERB
ajst-23758	109	19	the	the	DET
ajst-23758	109	20	relationship	relationship	NOUN
ajst-23758	109	21	between	between	ADP
ajst-23758	109	22	player	player	NOUN
ajst-23758	109	23	1	1	NUM
ajst-23758	109	24	and	and	CCONJ
ajst-23758	109	25	player	player	NOUN
ajst-23758	109	26	2	2	NUM
ajst-23758	109	27	being	be	AUX
ajst-23758	109	28	able	able	ADJ
ajst-23758	109	29	to	to	PART
ajst-23758	109	30	win	win	VERB
ajst-23758	109	31	under	under	ADP
ajst-23758	109	32	the	the	DET
ajst-23758	109	33	influence	influence	NOUN
ajst-23758	109	34	of	of	ADP
ajst-23758	109	35	the	the	DET
ajst-23758	109	36	metrics	metric	NOUN
ajst-23758	109	37	,	,	PUNCT
ajst-23758	109	38	as	as	SCONJ
ajst-23758	109	39	shown	show	VERB
ajst-23758	109	40	in	in	ADP
ajst-23758	109	41	figure	figure	NOUN
ajst-23758	109	42	7	7	NUM
ajst-23758	109	43	.	.	NOUN
ajst-23758	109	44	5	5	NUM
ajst-23758	109	45	.	.	X
ajst-23758	109	46	conclusion	conclusion	NOUN
ajst-23758	109	47	in	in	ADP
ajst-23758	109	48	this	this	DET
ajst-23758	109	49	research	research	NOUN
ajst-23758	109	50	work	work	NOUN
ajst-23758	109	51	,	,	PUNCT
ajst-23758	109	52	a	a	DET
ajst-23758	109	53	dynamic	dynamic	ADJ
ajst-23758	109	54	regression	regression	NOUN
ajst-23758	109	55	model	model	NOUN
ajst-23758	109	56	was	be	AUX
ajst-23758	109	57	constructed	construct	VERB
ajst-23758	109	58	to	to	PART
ajst-23758	109	59	predict	predict	VERB
ajst-23758	109	60	the	the	DET
ajst-23758	109	61	change	change	NOUN
ajst-23758	109	62	of	of	ADP
ajst-23758	109	63	momentum	momentum	NOUN
ajst-23758	109	64	during	during	ADP
ajst-23758	109	65	the	the	DET
ajst-23758	109	66	match	match	NOUN
ajst-23758	109	67	,	,	PUNCT
ajst-23758	109	68	highly	highly	ADV
ajst-23758	109	69	accurate	accurate	ADJ
ajst-23758	109	70	prediction	prediction	NOUN
ajst-23758	109	71	results	result	NOUN
ajst-23758	109	72	were	be	AUX
ajst-23758	109	73	obtained	obtain	VERB
ajst-23758	109	74	,	,	PUNCT
ajst-23758	109	75	the	the	DET
ajst-23758	109	76	ability	ability	NOUN
ajst-23758	109	77	of	of	ADP
ajst-23758	109	78	the	the	DET
ajst-23758	109	79	model	model	NOUN
ajst-23758	109	80	to	to	PART
ajst-23758	109	81	predict	predict	VERB
ajst-23758	109	82	the	the	DET
ajst-23758	109	83	change	change	NOUN
ajst-23758	109	84	of	of	ADP
ajst-23758	109	85	momentum	momentum	NOUN
ajst-23758	109	86	in	in	ADP
ajst-23758	109	87	tennis	tennis	NOUN
ajst-23758	109	88	matches	match	NOUN
ajst-23758	109	89	was	be	AUX
ajst-23758	109	90	comprehensively	comprehensively	ADV
ajst-23758	109	91	tested	test	VERB
ajst-23758	109	92	and	and	CCONJ
ajst-23758	109	93	its	its	PRON
ajst-23758	109	94	validity	validity	NOUN
ajst-23758	109	95	and	and	CCONJ
ajst-23758	109	96	accuracy	accuracy	NOUN
ajst-23758	109	97	was	be	AUX
ajst-23758	109	98	verified	verify	VERB
ajst-23758	109	99	by	by	ADP
ajst-23758	109	100	the	the	DET
ajst-23758	109	101	case	case	NOUN
ajst-23758	109	102	study	study	NOUN
ajst-23758	109	103	of	of	ADP
ajst-23758	109	104	an	an	DET
ajst-23758	109	105	open	open	ADJ
ajst-23758	109	106	tournament	tournament	NOUN
ajst-23758	109	107	,	,	PUNCT
ajst-23758	109	108	and	and	CCONJ
ajst-23758	109	109	the	the	DET
ajst-23758	109	110	effective	effective	ADJ
ajst-23758	109	111	analysis	analysis	NOUN
ajst-23758	109	112	helped	help	VERB
ajst-23758	109	113	us	we	PRON
ajst-23758	109	114	to	to	PART
ajst-23758	109	115	identify	identify	VERB
ajst-23758	109	116	the	the	DET
ajst-23758	109	117	other	other	ADJ
ajst-23758	109	118	factors	factor	NOUN
ajst-23758	109	119	that	that	PRON
ajst-23758	109	120	need	need	VERB
ajst-23758	109	121	to	to	PART
ajst-23758	109	122	be	be	AUX
ajst-23758	109	123	taken	take	VERB
ajst-23758	109	124	into	into	ADP
ajst-23758	109	125	account	account	NOUN
ajst-23758	109	126	.	.	PUNCT
ajst-23758	110	1	despite	despite	SCONJ
ajst-23758	110	2	the	the	DET
ajst-23758	110	3	remarkable	remarkable	ADJ
ajst-23758	110	4	results	result	NOUN
ajst-23758	110	5	of	of	ADP
ajst-23758	110	6	this	this	DET
ajst-23758	110	7	study	study	NOUN
ajst-23758	110	8	,	,	PUNCT
ajst-23758	110	9	there	there	PRON
ajst-23758	110	10	are	be	VERB
ajst-23758	110	11	some	some	DET
ajst-23758	110	12	limitations	limitation	NOUN
ajst-23758	110	13	.	.	PUNCT
ajst-23758	111	1	for	for	ADP
ajst-23758	111	2	example	example	NOUN
ajst-23758	111	3	,	,	PUNCT
ajst-23758	111	4	the	the	DET
ajst-23758	111	5	hierarchical	hierarchical	ADJ
ajst-23758	111	6	analysis	analysis	NOUN
ajst-23758	111	7	method	method	NOUN
ajst-23758	111	8	may	may	AUX
ajst-23758	111	9	become	become	VERB
ajst-23758	111	10	cumbersome	cumbersome	ADJ
ajst-23758	111	11	when	when	SCONJ
ajst-23758	111	12	dealing	deal	VERB
ajst-23758	111	13	with	with	ADP
ajst-23758	111	14	extremely	extremely	ADV
ajst-23758	111	15	complex	complex	ADJ
ajst-23758	111	16	decision	decision	NOUN
ajst-23758	111	17	problems	problem	NOUN
ajst-23758	111	18	and	and	CCONJ
ajst-23758	111	19	requires	require	VERB
ajst-23758	111	20	high	high	ADJ
ajst-23758	111	21	data	datum	NOUN
ajst-23758	111	22	quality	quality	NOUN
ajst-23758	111	23	.	.	PUNCT
ajst-23758	112	1	future	future	ADJ
ajst-23758	112	2	research	research	NOUN
ajst-23758	112	3	could	could	AUX
ajst-23758	112	4	further	far	ADV
ajst-23758	112	5	explore	explore	VERB
ajst-23758	112	6	these	these	DET
ajst-23758	112	7	issues	issue	NOUN
ajst-23758	112	8	and	and	CCONJ
ajst-23758	112	9	attempt	attempt	VERB
ajst-23758	112	10	to	to	PART
ajst-23758	112	11	develop	develop	VERB
ajst-23758	112	12	more	more	ADV
ajst-23758	112	13	efficient	efficient	ADJ
ajst-23758	112	14	and	and	CCONJ
ajst-23758	112	15	robust	robust	ADJ
ajst-23758	112	16	models	model	NOUN
ajst-23758	112	17	.	.	PUNCT
ajst-23758	113	1	references	reference	NOUN
ajst-23758	113	2	[	[	X
ajst-23758	113	3	1	1	NUM
ajst-23758	113	4	]	]	X
ajst-23758	113	5	scientific	scientific	ADJ
ajst-23758	113	6	platform	platform	NOUN
ajst-23758	113	7	serving	serve	VERB
ajst-23758	113	8	for	for	ADP
ajst-23758	113	9	statistics	statistic	NOUN
ajst-23758	113	10	professional	professional	ADJ
ajst-23758	113	11	2021	2021	NUM
ajst-23758	113	12	.	.	PUNCT
ajst-23758	114	1	spsspro	spsspro	ADJ
ajst-23758	114	2	.	.	PUNCT
ajst-23758	115	1	(	(	PUNCT
ajst-23758	115	2	version	version	NOUN
ajst-23758	115	3	1.0.11	1.0.11	NUM
ajst-23758	115	4	)	)	PUNCT
ajst-23758	116	1	[	[	X
ajst-23758	116	2	online	online	ADJ
ajst-23758	116	3	application	application	NOUN
ajst-23758	116	4	software	software	NOUN
ajst-23758	116	5	]	]	PUNCT
ajst-23758	116	6	.	.	PUNCT
ajst-23758	117	1	retrieved	retrieve	VERB
ajst-23758	117	2	from	from	ADP
ajst-23758	117	3	https://www.spsspro.com	https://www.spsspro.com	X
ajst-23758	117	4	.	.	PUNCT
ajst-23758	118	1	[	[	X
ajst-23758	118	2	2	2	NUM
ajst-23758	118	3	]	]	X
ajst-23758	118	4	draper	draper	NOUN
ajst-23758	118	5	,	,	PUNCT
ajst-23758	118	6	n.r	n.r	PROPN
ajst-23758	118	7	.	.	PROPN
ajst-23758	118	8	and	and	CCONJ
ajst-23758	118	9	smith	smith	PROPN
ajst-23758	118	10	,	,	PUNCT
ajst-23758	118	11	h.	h.	PROPN
ajst-23758	118	12	applied	apply	VERB
ajst-23758	118	13	regression	regression	NOUN
ajst-23758	118	14	analysis	analysis	NOUN
ajst-23758	118	15	.	.	PUNCT
ajst-23758	119	1	wiley	wiley	PROPN
ajst-23758	119	2	series	series	PROPN
ajst-23758	119	3	in	in	ADP
ajst-23758	119	4	probability	probability	NOUN
ajst-23758	119	5	and	and	CCONJ
ajst-23758	119	6	statistics	statistic	NOUN
ajst-23758	119	7	.	.	PUNCT
ajst-23758	120	1	1998	1998	NUM
ajst-23758	120	2	.	.	PUNCT
ajst-23758	121	1	[	[	X
ajst-23758	121	2	3	3	NUM
ajst-23758	121	3	]	]	X
ajst-23758	121	4	benedikt	benedikt	NOUN
ajst-23758	121	5	langenberg	langenberg	PROPN
ajst-23758	121	6	,	,	PUNCT
ajst-23758	121	7	markus	markus	NOUN
ajst-23758	121	8	janczyk	janczyk	NOUN
ajst-23758	121	9	,	,	PUNCT
ajst-23758	121	10	valentin	valentin	NOUN
ajst-23758	121	11	koob	koob	PROPN
ajst-23758	121	12	,	,	PUNCT
ajst-23758	121	13	reinhold	reinhold	PROPN
ajst-23758	121	14	kliegl	kliegl	PROPN
ajst-23758	121	15	,	,	PUNCT
ajst-23758	121	16	axel	axel	PROPN
ajst-23758	121	17	mayer	mayer	PROPN
ajst-23758	121	18	.	.	PUNCT
ajst-23758	122	1	a	a	DET
ajst-23758	122	2	tutorial	tutorial	NOUN
ajst-23758	122	3	on	on	ADP
ajst-23758	122	4	using	use	VERB
ajst-23758	122	5	the	the	DET
ajst-23758	122	6	paired	pair	VERB
ajst-23758	122	7	t	t	PROPN
ajst-23758	122	8	260	260	NUM
ajst-23758	122	9	test	test	NOUN
ajst-23758	122	10	for	for	ADP
ajst-23758	122	11	power	power	NOUN
ajst-23758	122	12	calculations	calculation	NOUN
ajst-23758	122	13	in	in	ADP
ajst-23758	122	14	repeated	repeat	VERB
ajst-23758	122	15	measures	measure	NOUN
ajst-23758	122	16	anova	anova	X
ajst-23758	122	17	with	with	ADP
ajst-23758	122	18	interactions	interaction	NOUN
ajst-23758	122	19	.	.	PUNCT
ajst-23758	123	1	2022	2022	NUM
ajst-23758	123	2	.	.	PUNCT
ajst-23758	124	1	[	[	X
ajst-23758	124	2	4	4	NUM
ajst-23758	124	3	]	]	X
ajst-23758	124	4	richard	richard	PROPN
ajst-23758	124	5	g.	g.	PROPN
ajst-23758	124	6	brereton	brereton	PROPN
ajst-23758	124	7	.	.	PUNCT
ajst-23758	125	1	introduction	introduction	NOUN
ajst-23758	125	2	to	to	ADP
ajst-23758	125	3	analysis	analysis	NOUN
ajst-23758	125	4	of	of	ADP
ajst-23758	125	5	variance.2018	variance.2018	NOUN
ajst-23758	125	6	.	.	PUNCT
ajst-23758	126	1	[	[	X
ajst-23758	126	2	5	5	NUM
ajst-23758	126	3	]	]	X
ajst-23758	126	4	m	m	PROPN
ajst-23758	126	5	s	s	NOUN
ajst-23758	126	6	mayo	mayo	NOUN
ajst-23758	126	7	,	,	PUNCT
ajst-23758	126	8	m	m	NOUN
ajst-23758	126	9	d	d	NOUN
ajst-23758	126	10	conerly	conerly	ADV
ajst-23758	126	11	.	.	PUNCT
ajst-23758	127	1	evaluating	evaluate	VERB
ajst-23758	127	2	overall	overall	ADJ
ajst-23758	127	3	significance	significance	NOUN
ajst-23758	127	4	levels	level	NOUN
ajst-23758	127	5	in	in	ADP
ajst-23758	127	6	multifactor	multifactor	NOUN
ajst-23758	127	7	anova	anova	PROPN
ajst-23758	127	8	.	.	PROPN
ajst-23758	127	9	2018	2018	NUM
ajst-23758	127	10	.	.	PUNCT
ajst-23758	128	1	[	[	X
ajst-23758	128	2	6	6	NUM
ajst-23758	128	3	]	]	PUNCT
ajst-23758	128	4	assaf	assaf	PROPN
ajst-23758	128	5	rabinowicz	rabinowicz	PROPN
ajst-23758	128	6	,	,	PUNCT
ajst-23758	128	7	saharon	saharon	NOUN
ajst-23758	128	8	rosset.cross	rosset.cross	NOUN
ajst-23758	128	9	-	-	NOUN
ajst-23758	128	10	validation	validation	NOUN
ajst-23758	128	11	for	for	ADP
ajst-23758	128	12	correlated	correlate	VERB
ajst-23758	128	13	data	datum	NOUN
ajst-23758	128	14	.	.	PUNCT
ajst-23758	129	1	2020	2020	NUM
ajst-23758	129	2	.	.	PUNCT