id	sid	tid	token	lemma	pos
gsjp-10033	1	1	5	5	NUM
gsjp-10033	1	2	graduate	graduate	NOUN
gsjp-10033	1	3	student	student	NOUN
gsjp-10033	1	4	journal	journal	NOUN
gsjp-10033	1	5	of	of	ADP
gsjp-10033	1	6	psychology	psychology	NOUN
gsjp-10033	1	7	2022	2022	NUM
gsjp-10033	1	8	,	,	PUNCT
gsjp-10033	1	9	vol	vol	NOUN
gsjp-10033	1	10	.	.	PUNCT
gsjp-10033	1	11	19	19	NUM
gsjp-10033	1	12	copyright	copyright	NOUN
gsjp-10033	1	13	2022	2022	NUM
gsjp-10033	1	14	by	by	ADP
gsjp-10033	1	15	the	the	DET
gsjp-10033	1	16	department	department	NOUN
gsjp-10033	1	17	of	of	ADP
gsjp-10033	1	18	counseling	counseling	NOUN
gsjp-10033	1	19	and	and	CCONJ
gsjp-10033	1	20	clinical	clinical	ADJ
gsjp-10033	1	21	psychology	psychology	NOUN
gsjp-10033	1	22	teachers	teachers	PROPN
gsjp-10033	1	23	college	college	PROPN
gsjp-10033	1	24	,	,	PUNCT
gsjp-10033	1	25	columbia	columbia	PROPN
gsjp-10033	1	26	university	university	PROPN
gsjp-10033	1	27	merging	merge	VERB
gsjp-10033	1	28	multiple	multiple	ADJ
gsjp-10033	1	29	and/or	and/or	CCONJ
gsjp-10033	1	30	divergent	divergent	ADJ
gsjp-10033	1	31	datasets	dataset	NOUN
gsjp-10033	1	32	using	use	VERB
gsjp-10033	1	33	spss	spss	NOUN
gsjp-10033	1	34	:	:	PUNCT
gsjp-10033	1	35	a	a	DET
gsjp-10033	1	36	method	method	NOUN
gsjp-10033	1	37	review	review	NOUN
gsjp-10033	1	38	and	and	CCONJ
gsjp-10033	1	39	tutorial	tutorial	PROPN
gsjp-10033	1	40	lillian	lillian	PROPN
gsjp-10033	1	41	m.	m.	PROPN
gsjp-10033	1	42	audette	audette	PROPN
gsjp-10033	1	43	,	,	PUNCT
gsjp-10033	1	44	katherine	katherine	PROPN
gsjp-10033	1	45	a.	a.	PROPN
gsjp-10033	1	46	johnson	johnson	PROPN
gsjp-10033	1	47	,	,	PUNCT
gsjp-10033	1	48	marie	marie	PROPN
gsjp-10033	1	49	s.	s.	PROPN
gsjp-10033	1	50	hammond	hammond	PROPN
gsjp-10033	1	51	,	,	PUNCT
gsjp-10033	1	52	jenna	jenna	PROPN
gsjp-10033	1	53	s.	s.	PROPN
gsjp-10033	1	54	lehmann	lehmann	PROPN
gsjp-10033	1	55	,	,	PUNCT
gsjp-10033	1	56	and	and	CCONJ
gsjp-10033	1	57	michael	michael	PROPN
gsjp-10033	1	58	oyeteju	oyeteju	PROPN
gsjp-10033	1	59	,	,	PUNCT
gsjp-10033	1	60	department	department	NOUN
gsjp-10033	1	61	of	of	ADP
gsjp-10033	1	62	psychological	psychological	PROPN
gsjp-10033	1	63	sciences	sciences	PROPN
gsjp-10033	1	64	&	&	CCONJ
gsjp-10033	1	65	counseling	counseling	PROPN
gsjp-10033	1	66	,	,	PUNCT
gsjp-10033	1	67	tennessee	tennessee	PROPN
gsjp-10033	1	68	state	state	PROPN
gsjp-10033	1	69	university	university	PROPN
gsjp-10033	1	70	many	many	ADJ
gsjp-10033	1	71	researchers	researcher	NOUN
gsjp-10033	1	72	face	face	VERB
gsjp-10033	1	73	problems	problem	NOUN
gsjp-10033	1	74	merging	merge	VERB
gsjp-10033	1	75	multiple	multiple	ADJ
gsjp-10033	1	76	datasets	dataset	NOUN
gsjp-10033	1	77	with	with	ADP
gsjp-10033	1	78	divergent	divergent	ADJ
gsjp-10033	1	79	or	or	CCONJ
gsjp-10033	1	80	mismatched	mismatched	ADJ
gsjp-10033	1	81	cases	case	NOUN
gsjp-10033	1	82	and/or	and/or	CCONJ
gsjp-10033	1	83	variables	variable	NOUN
gsjp-10033	1	84	to	to	PART
gsjp-10033	1	85	form	form	VERB
gsjp-10033	1	86	a	a	DET
gsjp-10033	1	87	more	more	ADV
gsjp-10033	1	88	complete	complete	ADJ
gsjp-10033	1	89	dataset	dataset	NOUN
gsjp-10033	1	90	.	.	PUNCT
gsjp-10033	2	1	this	this	PRON
gsjp-10033	2	2	is	be	AUX
gsjp-10033	2	3	particularly	particularly	ADV
gsjp-10033	2	4	true	true	ADJ
gsjp-10033	2	5	when	when	SCONJ
gsjp-10033	2	6	conducting	conduct	VERB
gsjp-10033	2	7	research	research	NOUN
gsjp-10033	2	8	with	with	ADP
gsjp-10033	2	9	humans	human	NOUN
gsjp-10033	2	10	in	in	ADP
gsjp-10033	2	11	which	which	PRON
gsjp-10033	2	12	data	datum	NOUN
gsjp-10033	2	13	is	be	AUX
gsjp-10033	2	14	obtained	obtain	VERB
gsjp-10033	2	15	from	from	ADP
gsjp-10033	2	16	multiple	multiple	ADJ
gsjp-10033	2	17	sources	source	NOUN
gsjp-10033	2	18	,	,	PUNCT
gsjp-10033	2	19	such	such	ADJ
gsjp-10033	2	20	as	as	ADP
gsjp-10033	2	21	self	self	NOUN
gsjp-10033	2	22	-	-	PUNCT
gsjp-10033	2	23	report	report	NOUN
gsjp-10033	2	24	questionnaires	questionnaire	NOUN
gsjp-10033	2	25	,	,	PUNCT
gsjp-10033	2	26	institutional	institutional	ADJ
gsjp-10033	2	27	databases	database	NOUN
gsjp-10033	2	28	,	,	PUNCT
gsjp-10033	2	29	and/or	and/or	CCONJ
gsjp-10033	2	30	collateral	collateral	ADJ
gsjp-10033	2	31	contacts	contact	NOUN
gsjp-10033	2	32	.	.	PUNCT
gsjp-10033	3	1	challenges	challenge	NOUN
gsjp-10033	3	2	that	that	PRON
gsjp-10033	3	3	occur	occur	VERB
gsjp-10033	3	4	in	in	ADP
gsjp-10033	3	5	ȣƞǩǹǩφǩǿǡ	ȣƞǩǹǩφǩǿǡ	PROPN
gsjp-10033	3	6	�	�	PROPN
gsjp-10033	3	7	ǐƺƞƺ	ǐƺƞƺ	PROPN
gsjp-10033	3	8	�	�	PROPN
gsjp-10033	3	9	ǟȗȅǿ	ǟȗȅǿ	NOUN
gsjp-10033	3	10	�	�	PROPN
gsjp-10033	3	11	ǐǩκǔȗǡǔǿƞ	ǐǩκǔȗǡǔǿƞ	PROPN
gsjp-10033	3	12	�	�	PROPN
gsjp-10033	3	13	șȅȣȗljǔș	șȅȣȗljǔș	PROPN
gsjp-10033	3	14	�	�	PROPN
gsjp-10033	3	15	ǩǿljǹȣǐǔ	ǩǿljǹȣǐǔ	ADJ
gsjp-10033	3	16	�	�	PROPN
gsjp-10033	3	17	ǐǩаǔȗǔǿƞ	ǐǩаǔȗǔǿƞ	PROPN
gsjp-10033	3	18	�	�	PROPN
gsjp-10033	3	19	șƞȗȣljƞȣȗǔșॹ	șƞȗȣljƞȣȗǔșॹ	PROPN
gsjp-10033	3	20	�	�	PROPN
gsjp-10033	3	21	ǐǩаǔȗǔǿƞ	ǐǩаǔȗǔǿƞ	PROPN
gsjp-10033	3	22	�	�	PROPN
gsjp-10033	3	23	ǟȅȗǿƺƞșॹ	ǟȅȗǿƺƞșॹ	PROPN
gsjp-10033	3	24	�	�	PROPN
gsjp-10033	3	25	ȅȗ	ȅȗ	NOUN
gsjp-10033	3	26	�	�	PROPN
gsjp-10033	3	27	ƞǧƺƞ	ƞǧƺƞ	PROPN
gsjp-10033	3	28	�	�	PROPN
gsjp-10033	3	29	ǐƺƞƺ	ǐƺƞƺ	PROPN
gsjp-10033	3	30	�	�	PROPN
gsjp-10033	3	31	ǩș	ǩș	NOUN
gsjp-10033	3	32	�	�	PROPN
gsjp-10033	3	33	ǩǿljȅǿȓǹǔƞǔ	ǩǿljȅǿȓǹǔƞǔ	NOUN
gsjp-10033	3	34	�	�	PROPN
gsjp-10033	3	35	when	when	SCONJ
gsjp-10033	3	36	compared	compare	VERB
gsjp-10033	3	37	to	to	ADP
gsjp-10033	3	38	the	the	DET
gsjp-10033	3	39	original	original	ADJ
gsjp-10033	3	40	dataset	dataset	NOUN
gsjp-10033	3	41	.	.	PUNCT
gsjp-10033	4	1	the	the	DET
gsjp-10033	4	2	present	present	ADJ
gsjp-10033	4	3	article	article	NOUN
gsjp-10033	4	4	focuses	focus	VERB
gsjp-10033	4	5	on	on	ADP
gsjp-10033	4	6	merging	merge	VERB
gsjp-10033	4	7	multiple	multiple	ADJ
gsjp-10033	4	8	datasets	dataset	NOUN
gsjp-10033	4	9	either	either	CCONJ
gsjp-10033	4	10	generated	generate	VERB
gsjp-10033	4	11	longitudinally	longitudinally	ADV
gsjp-10033	4	12	or	or	CCONJ
gsjp-10033	4	13	containing	contain	VERB
gsjp-10033	4	14	ǐǩаǔȗǔǿƞ	ǐǩаǔȗǔǿƞ	PROPN
gsjp-10033	4	15	�	�	PROPN
gsjp-10033	4	16	κƺȗǩƺljǹǔșঀ	κƺȗǩƺljǹǔșঀ	PROPN
gsjp-10033	4	17	�	�	PROPN
gsjp-10033	4	18	�	�	PROPN
gsjp-10033	4	19	πƺǿȓǹǔș	πƺǿȓǹǔș	NOUN
gsjp-10033	4	20	�	�	PROPN
gsjp-10033	4	21	ȅǟ	ȅǟ	PROPN
gsjp-10033	4	22	�	�	PROPN
gsjp-10033	4	23	ƞǧǔ	ƞǧǔ	PROPN
gsjp-10033	4	24	�	�	PROPN
gsjp-10033	4	25	ǐƺƞƺșǔƞș	ǐƺƞƺșǔƞș	PROPN
gsjp-10033	4	26	�	�	PROPN
gsjp-10033	4	27	ƞȅ	ƞȅ	NOUN
gsjp-10033	4	28	�	�	PROPN
gsjp-10033	4	29	λǧǩljǧ	λǧǩljǧ	PROPN
gsjp-10033	4	30	�	�	PROPN
gsjp-10033	4	31	we	we	PRON
gsjp-10033	4	32	refer	refer	VERB
gsjp-10033	4	33	include	include	VERB
gsjp-10033	4	34	pre-/post	pre-/post	NOUN
gsjp-10033	4	35	-	-	NOUN
gsjp-10033	4	36	testing	testing	NOUN
gsjp-10033	4	37	for	for	ADP
gsjp-10033	4	38	intervention	intervention	NOUN
gsjp-10033	4	39	research	research	NOUN
gsjp-10033	4	40	,	,	PUNCT
gsjp-10033	4	41	longitudinal	longitudinal	ADJ
gsjp-10033	4	42	research	research	NOUN
gsjp-10033	4	43	utilizing	utilize	VERB
gsjp-10033	4	44	two	two	NUM
gsjp-10033	4	45	or	or	CCONJ
gsjp-10033	4	46	more	more	ADJ
gsjp-10033	4	47	waves	wave	NOUN
gsjp-10033	4	48	of	of	ADP
gsjp-10033	4	49	data	datum	NOUN
gsjp-10033	4	50	,	,	PUNCT
gsjp-10033	4	51	or	or	CCONJ
gsjp-10033	4	52	instances	instance	NOUN
gsjp-10033	4	53	in	in	ADP
gsjp-10033	4	54	which	which	PRON
gsjp-10033	4	55	data	datum	NOUN
gsjp-10033	4	56	from	from	ADP
gsjp-10033	4	57	multiple	multiple	ADJ
gsjp-10033	4	58	sources	source	NOUN
gsjp-10033	4	59	related	relate	VERB
gsjp-10033	4	60	to	to	ADP
gsjp-10033	4	61	the	the	DET
gsjp-10033	4	62	same	same	ADJ
gsjp-10033	4	63	case	case	NOUN
gsjp-10033	4	64	.	.	PUNCT
gsjp-10033	5	1	these	these	DET
gsjp-10033	5	2	datasets	dataset	NOUN
gsjp-10033	5	3	are	be	AUX
gsjp-10033	5	4	likely	likely	ADJ
gsjp-10033	5	5	to	to	PART
gsjp-10033	5	6	be	be	AUX
gsjp-10033	5	7	mismatched	mismatch	VERB
gsjp-10033	5	8	in	in	ADP
gsjp-10033	5	9	that	that	SCONJ
gsjp-10033	5	10	they	they	PRON
gsjp-10033	5	11	may	may	AUX
gsjp-10033	5	12	not	not	PART
gsjp-10033	5	13	contain	contain	VERB
gsjp-10033	5	14	the	the	DET
gsjp-10033	5	15	same	same	ADJ
gsjp-10033	5	16	variables	variable	NOUN
gsjp-10033	5	17	(	(	PUNCT
gsjp-10033	5	18	in	in	ADP
gsjp-10033	5	19	the	the	DET
gsjp-10033	5	20	instance	instance	NOUN
gsjp-10033	5	21	of	of	ADP
gsjp-10033	5	22	adding	add	VERB
gsjp-10033	5	23	cases	case	NOUN
gsjp-10033	5	24	)	)	PUNCT
gsjp-10033	5	25	or	or	CCONJ
gsjp-10033	5	26	may	may	AUX
gsjp-10033	5	27	not	not	PART
gsjp-10033	5	28	include	include	VERB
gsjp-10033	5	29	the	the	DET
gsjp-10033	5	30	same	same	ADJ
gsjp-10033	5	31	cases	case	NOUN
gsjp-10033	5	32	(	(	PUNCT
gsjp-10033	5	33	in	in	ADP
gsjp-10033	5	34	the	the	DET
gsjp-10033	5	35	instance	instance	NOUN
gsjp-10033	5	36	of	of	ADP
gsjp-10033	5	37	adding	add	VERB
gsjp-10033	5	38	variables	variable	NOUN
gsjp-10033	5	39	)	)	PUNCT
gsjp-10033	5	40	.	.	PUNCT
gsjp-10033	6	1	other	other	ADJ
gsjp-10033	6	2	relevant	relevant	ADJ
gsjp-10033	6	3	datasets	dataset	NOUN
gsjp-10033	6	4	might	might	AUX
gsjp-10033	6	5	be	be	AUX
gsjp-10033	6	6	considǔȗǔǐ	considǔȗǔǐ	NOUN
gsjp-10033	6	7	�	�	PROPN
gsjp-10033	6	8	৚ljȅǿȓǹǔπ৛	৚ljȅǿȓǹǔπ৛	SYM
gsjp-10033	6	9	�	�	PROPN
gsjp-10033	6	10	ǩǿ	ǩǿ	NOUN
gsjp-10033	6	11	�	�	PROPN
gsjp-10033	6	12	ƞǧƺƞ	ƞǧƺƞ	PROPN
gsjp-10033	6	13	�	�	PROPN
gsjp-10033	6	14	ƞǧǔ	ƞǧǔ	PROPN
gsjp-10033	6	15	�	�	PROPN
gsjp-10033	6	16	ǐƺƞƺșǔƞș	ǐƺƞƺșǔƞș	PROPN
gsjp-10033	6	17	�	�	PROPN
gsjp-10033	6	18	ljȅǿƞƺǩǿ	ljȅǿƞƺǩǿ	PROPN
gsjp-10033	6	19	�	�	PROPN
gsjp-10033	6	20	ǐǩаǔȗǔǿƞ	ǐǩаǔȗǔǿƞ	PROPN
gsjp-10033	6	21	�	�	PROPN
gsjp-10033	6	22	κƺȗǩƺljǹǔș	κƺȗǩƺljǹǔș	PROPN
gsjp-10033	6	23	�	�	PROPN
gsjp-10033	6	24	ƺǿǐ	ƺǿǐ	PROPN
gsjp-10033	6	25	�	�	PROPN
gsjp-10033	6	26	ǧƺκǔ	ǧƺκǔ	NOUN
gsjp-10033	6	27	�	�	PROPN
gsjp-10033	6	28	ǐǩаǔȗǔǿljǔș	ǐǩаǔȗǔǿljǔș	VERB
gsjp-10033	6	29	�	�	PROPN
gsjp-10033	6	30	ǩǿ	ǩǿ	NOUN
gsjp-10033	6	31	�	�	PROPN
gsjp-10033	6	32	ljƺșǔșঀ	ljƺșǔșঀ	NOUN
gsjp-10033	6	33	�	�	PROPN
gsjp-10033	6	34	'ȅȗ	'ȅȗ	NOUN
gsjp-10033	6	35	�	�	PROPN
gsjp-10033	6	36	ǔπƺǿȓǹǔॹ	ǔπƺǿȓǹǔॹ	PROPN
gsjp-10033	6	37	�	�	PROPN
gsjp-10033	6	38	ǩƞ	ǩƞ	PROPN
gsjp-10033	6	39	�	�	PROPN
gsjp-10033	6	40	may	may	AUX
gsjp-10033	6	41	be	be	AUX
gsjp-10033	6	42	that	that	SCONJ
gsjp-10033	6	43	graduate	graduate	NOUN
gsjp-10033	6	44	students	student	NOUN
gsjp-10033	6	45	working	work	VERB
gsjp-10033	6	46	as	as	ADP
gsjp-10033	6	47	a	a	DET
gsjp-10033	6	48	part	part	NOUN
gsjp-10033	6	49	of	of	ADP
gsjp-10033	6	50	a	a	DET
gsjp-10033	6	51	larger	large	ADJ
gsjp-10033	6	52	research	research	NOUN
gsjp-10033	6	53	team	team	NOUN
gsjp-10033	6	54	are	be	AUX
gsjp-10033	6	55	tasked	task	VERB
gsjp-10033	6	56	with	with	ADP
gsjp-10033	6	57	managing	manage	VERB
gsjp-10033	6	58	the	the	DET
gsjp-10033	6	59	data	datum	NOUN
gsjp-10033	6	60	and	and	CCONJ
gsjp-10033	6	61	will	will	AUX
gsjp-10033	6	62	need	need	VERB
gsjp-10033	6	63	to	to	PART
gsjp-10033	6	64	understand	understand	VERB
gsjp-10033	6	65	the	the	DET
gsjp-10033	6	66	process	process	NOUN
gsjp-10033	6	67	and	and	CCONJ
gsjp-10033	6	68	steps	step	NOUN
gsjp-10033	6	69	to	to	ADP
gsjp-10033	6	70	ǔгljǩǔǿƞǹρ	ǔгljǩǔǿƞǹρ	PROPN
gsjp-10033	6	71	�	�	PROPN
gsjp-10033	6	72	ljȅǿljǩǿǔ	ljȅǿljǩǿǔ	PROPN
gsjp-10033	6	73	�	�	PROPN
gsjp-10033	6	74	ƞǧǔșǔ	ƞǧǔșǔ	PROPN
gsjp-10033	6	75	�	�	PROPN
gsjp-10033	6	76	ǐƺƞƺșǔƞșঀ	ǐƺƞƺșǔƞșঀ	PROPN
gsjp-10033	6	77	�	�	PROPN
gsjp-10033	6	78	it	it	PRON
gsjp-10033	6	79	should	should	AUX
gsjp-10033	6	80	be	be	AUX
gsjp-10033	6	81	noted	note	VERB
gsjp-10033	6	82	that	that	SCONJ
gsjp-10033	6	83	in	in	ADP
gsjp-10033	6	84	order	order	NOUN
gsjp-10033	6	85	to	to	PART
gsjp-10033	6	86	align	align	VERB
gsjp-10033	6	87	with	with	ADP
gsjp-10033	6	88	current	current	ADJ
gsjp-10033	6	89	terminology	terminology	NOUN
gsjp-10033	6	90	,	,	PUNCT
gsjp-10033	6	91	rather	rather	ADV
gsjp-10033	6	92	than	than	ADP
gsjp-10033	6	93	describing	describe	VERB
gsjp-10033	6	94	these	these	DET
gsjp-10033	6	95	datasets	dataset	NOUN
gsjp-10033	6	96	ƺș	ƺș	NOUN
gsjp-10033	6	97	�	�	PROPN
gsjp-10033	6	98	৚ljȅǿȓǹǔπॹ৛	৚ljȅǿȓǹǔπॹ৛	PROPN
gsjp-10033	6	99	�	�	PROPN
gsjp-10033	6	100	λǧǩljǧ	λǧǩljǧ	PROPN
gsjp-10033	6	101	�	�	PROPN
gsjp-10033	6	102	ǧƺș	ǧƺș	PROPN
gsjp-10033	6	103	�	�	PROPN
gsjp-10033	6	104	ƺ	ƺ	PROPN
gsjp-10033	6	105	�	�	PROPN
gsjp-10033	6	106	șȓǔljǩйlj	șȓǔljǩйlj	PROPN
gsjp-10033	6	107	�	�	PROPN
gsjp-10033	6	108	ǿǔƺǿǩǿǡ	ǿǔƺǿǩǿǡ	PROPN
gsjp-10033	6	109	�	�	PROPN
gsjp-10033	6	110	λǩƞǧǩǿ	λǩƞǧǩǿ	PROPN
gsjp-10033	6	111	�	�	PROPN
gsjp-10033	6	112	the	the	DET
gsjp-10033	6	113	social	social	ADJ
gsjp-10033	6	114	sciences	sciences	PROPN
gsjp-10033	6	115	(	(	PUNCT
gsjp-10033	6	116	guha	guha	PROPN
gsjp-10033	6	117	et	et	PROPN
gsjp-10033	6	118	al	al	PROPN
gsjp-10033	6	119	.	.	PROPN
gsjp-10033	6	120	,	,	PUNCT
gsjp-10033	6	121	2009	2009	NUM
gsjp-10033	6	122	)	)	PUNCT
gsjp-10033	6	123	,	,	PUNCT
gsjp-10033	6	124	we	we	PRON
gsjp-10033	6	125	will	will	AUX
gsjp-10033	6	126	use	use	VERB
gsjp-10033	6	127	the	the	DET
gsjp-10033	6	128	term	term	NOUN
gsjp-10033	6	129	“	"	PUNCT
gsjp-10033	6	130	divergent	divergent	ADJ
gsjp-10033	6	131	”	"	PUNCT
gsjp-10033	6	132	to	to	PART
gsjp-10033	6	133	refer	refer	VERB
gsjp-10033	6	134	to	to	ADP
gsjp-10033	6	135	datasets	dataset	NOUN
gsjp-10033	6	136	that	that	PRON
gsjp-10033	6	137	do	do	AUX
gsjp-10033	6	138	not	not	PART
gsjp-10033	6	139	match	match	VERB
gsjp-10033	6	140	variable	variable	NOUN
gsjp-10033	6	141	for	for	ADP
gsjp-10033	6	142	variable	variable	ADJ
gsjp-10033	6	143	,	,	PUNCT
gsjp-10033	6	144	time	time	NOUN
gsjp-10033	6	145	frame	frame	NOUN
gsjp-10033	6	146	by	by	ADP
gsjp-10033	6	147	time	time	NOUN
gsjp-10033	6	148	frame	frame	NOUN
gsjp-10033	6	149	,	,	PUNCT
gsjp-10033	6	150	and/or	and/or	CCONJ
gsjp-10033	6	151	case	case	NOUN
gsjp-10033	6	152	for	for	ADP
gsjp-10033	6	153	case	case	NOUN
gsjp-10033	6	154	.	.	PUNCT
gsjp-10033	7	1	further	far	ADV
gsjp-10033	7	2	,	,	PUNCT
gsjp-10033	7	3	the	the	DET
gsjp-10033	7	4	term	term	NOUN
gsjp-10033	7	5	“	"	PUNCT
gsjp-10033	7	6	merge	merge	VERB
gsjp-10033	7	7	”	"	PUNCT
gsjp-10033	7	8	will	will	AUX
gsjp-10033	7	9	be	be	AUX
gsjp-10033	7	10	used	use	VERB
gsjp-10033	7	11	in	in	ADP
gsjp-10033	7	12	this	this	DET
gsjp-10033	7	13	article	article	NOUN
gsjp-10033	7	14	rather	rather	ADV
gsjp-10033	7	15	than	than	ADP
gsjp-10033	7	16	“	"	PUNCT
gsjp-10033	7	17	combining	combine	VERB
gsjp-10033	7	18	”	"	PUNCT
gsjp-10033	7	19	in	in	ADP
gsjp-10033	7	20	that	that	PRON
gsjp-10033	7	21	combining	combining	NOUN
gsjp-10033	7	22	implies	imply	VERB
gsjp-10033	7	23	a	a	DET
gsjp-10033	7	24	common	common	ADJ
gsjp-10033	7	25	data	data	NOUN
gsjp-10033	7	26	structure	structure	NOUN
gsjp-10033	7	27	that	that	PRON
gsjp-10033	7	28	facilitates	facilitate	VERB
gsjp-10033	7	29	bringing	bring	VERB
gsjp-10033	7	30	the	the	DET
gsjp-10033	7	31	datasets	dataset	NOUN
gsjp-10033	7	32	together	together	ADV
gsjp-10033	7	33	,	,	PUNCT
gsjp-10033	7	34	while	while	SCONJ
gsjp-10033	7	35	the	the	DET
gsjp-10033	7	36	term	term	NOUN
gsjp-10033	7	37	“	"	PUNCT
gsjp-10033	7	38	mergǩǿǡ৛	mergǩǿǡ৛	NOUN
gsjp-10033	7	39	�	�	NOUN
gsjp-10033	7	40	ƞρȓǩljƺǹǹρ	ƞρȓǩljƺǹǹρ	NOUN
gsjp-10033	7	41	�	�	PROPN
gsjp-10033	7	42	ȗǔǹǩǔș	ȗǔǹǩǔș	PROPN
gsjp-10033	7	43	�	�	SYM
gsjp-10033	7	44	ȅǿ	ȅǿ	NUM
gsjp-10033	7	45	�	�	PROPN
gsjp-10033	7	46	ƺ	ƺ	NOUN
gsjp-10033	7	47	�	�	PROPN
gsjp-10033	7	48	৚ƿǔρ৛	৚ƿǔρ৛	PROPN
gsjp-10033	7	49	�	�	PROPN
gsjp-10033	7	50	ȅȗ	ȅȗ	NOUN
gsjp-10033	7	51	�	�	PROPN
gsjp-10033	7	52	৚ǩǐǔǿƞǩйǔȗ৛	৚ǩǐǔǿƞǩйǔȗ৛	PROPN
gsjp-10033	7	53	�	�	PROPN
gsjp-10033	7	54	κƺȗǩƺljǹǔ	κƺȗǩƺljǹǔ	PROPN
gsjp-10033	7	55	�	�	PROPN
gsjp-10033	7	56	that	that	PRON
gsjp-10033	7	57	provides	provide	VERB
gsjp-10033	7	58	the	the	DET
gsjp-10033	7	59	common	common	ADJ
gsjp-10033	7	60	link	link	NOUN
gsjp-10033	7	61	between	between	ADP
gsjp-10033	7	62	the	the	DET
gsjp-10033	7	63	datasets	dataset	NOUN
gsjp-10033	7	64	.	.	PUNCT
gsjp-10033	8	1	this	this	PRON
gsjp-10033	8	2	is	be	AUX
gsjp-10033	8	3	distinct	distinct	ADJ
gsjp-10033	8	4	from	from	ADP
gsjp-10033	8	5	data	datum	NOUN
gsjp-10033	8	6	fusion	fusion	NOUN
gsjp-10033	8	7	,	,	PUNCT
gsjp-10033	8	8	which	which	PRON
gsjp-10033	8	9	occurs	occur	VERB
gsjp-10033	8	10	when	when	SCONJ
gsjp-10033	8	11	multiple	multiple	ADJ
gsjp-10033	8	12	data	datum	NOUN
gsjp-10033	8	13	sources	source	NOUN
gsjp-10033	8	14	are	be	AUX
gsjp-10033	8	15	integrated	integrate	VERB
gsjp-10033	8	16	without	without	ADP
gsjp-10033	8	17	full	full	ADJ
gsjp-10033	8	18	preservation	preservation	NOUN
gsjp-10033	8	19	of	of	ADP
gsjp-10033	8	20	all	all	DET
gsjp-10033	8	21	data	datum	NOUN
gsjp-10033	8	22	(	(	PUNCT
gsjp-10033	8	23	haghighat	haghighat	INTJ
gsjp-10033	8	24	et	et	PROPN
gsjp-10033	8	25	al	al	PROPN
gsjp-10033	8	26	.	.	PROPN
gsjp-10033	8	27	,	,	PUNCT
gsjp-10033	8	28	2016	2016	NUM
gsjp-10033	8	29	)	)	PUNCT
gsjp-10033	8	30	.	.	PUNCT
gsjp-10033	9	1	the	the	DET
gsjp-10033	9	2	goal	goal	NOUN
gsjp-10033	9	3	of	of	ADP
gsjp-10033	9	4	the	the	DET
gsjp-10033	9	5	process	process	NOUN
gsjp-10033	9	6	to	to	PART
gsjp-10033	9	7	be	be	AUX
gsjp-10033	9	8	described	describe	VERB
gsjp-10033	9	9	is	be	AUX
gsjp-10033	9	10	that	that	SCONJ
gsjp-10033	9	11	the	the	DET
gsjp-10033	9	12	datasets	dataset	NOUN
gsjp-10033	9	13	are	be	AUX
gsjp-10033	9	14	merged	merge	VERB
gsjp-10033	9	15	in	in	ADP
gsjp-10033	9	16	such	such	DET
gsjp-10033	9	17	a	a	DET
gsjp-10033	9	18	way	way	NOUN
gsjp-10033	9	19	that	that	PRON
gsjp-10033	9	20	all	all	DET
gsjp-10033	9	21	data	datum	NOUN
gsjp-10033	9	22	is	be	AUX
gsjp-10033	9	23	retained	retain	VERB
gsjp-10033	9	24	from	from	ADP
gsjp-10033	9	25	its	its	PRON
gsjp-10033	9	26	ȅȗǩǡǩǿƺǹ	ȅȗǩǡǩǿƺǹ	NOUN
gsjp-10033	9	27	�	�	PROPN
gsjp-10033	9	28	ǐƺƞƺșǔƞ	ǐƺƞƺșǔƞ	NOUN
gsjp-10033	9	29	�	�	PROPN
gsjp-10033	9	30	ǩǿ	ǩǿ	PROPN
gsjp-10033	9	31	�	�	PROPN
gsjp-10033	9	32	ƞǧǔ	ƞǧǔ	NOUN
gsjp-10033	9	33	�	�	PROPN
gsjp-10033	9	34	йǿƺǹ	йǿƺǹ	NOUN
gsjp-10033	9	35	�	�	NOUN
gsjp-10033	9	36	ȓȗȅǐȣljƞঀ	ȓȗȅǐȣljƞঀ	ADJ
gsjp-10033	9	37	�	�	PROPN
gsjp-10033	9	38	when	when	SCONJ
gsjp-10033	9	39	it	it	PRON
gsjp-10033	9	40	comes	come	VERB
gsjp-10033	9	41	to	to	ADP
gsjp-10033	9	42	merging	merge	VERB
gsjp-10033	9	43	two	two	NUM
gsjp-10033	9	44	or	or	CCONJ
gsjp-10033	9	45	more	more	ADJ
gsjp-10033	9	46	datasets	dataset	NOUN
gsjp-10033	9	47	that	that	PRON
gsjp-10033	9	48	contain	contain	VERB
gsjp-10033	9	49	mismatching	mismatch	VERB
gsjp-10033	9	50	and/or	and/or	CCONJ
gsjp-10033	9	51	missing	missing	ADJ
gsjp-10033	9	52	cases	case	NOUN
gsjp-10033	9	53	,	,	PUNCT
gsjp-10033	9	54	several	several	ADJ
gsjp-10033	9	55	complications	complication	NOUN
gsjp-10033	9	56	could	could	AUX
gsjp-10033	9	57	occur	occur	VERB
gsjp-10033	9	58	–	–	PUNCT
gsjp-10033	9	59	resulting	result	VERB
gsjp-10033	9	60	in	in	ADP
gsjp-10033	9	61	compromised	compromise	VERB
gsjp-10033	9	62	analyses	analysis	NOUN
gsjp-10033	9	63	.	.	PUNCT
gsjp-10033	10	1	for	for	ADP
gsjp-10033	10	2	instance	instance	NOUN
gsjp-10033	10	3	,	,	PUNCT
gsjp-10033	10	4	mismatched	mismatch	VERB
gsjp-10033	10	5	data	datum	NOUN
gsjp-10033	10	6	may	may	AUX
gsjp-10033	10	7	indicate	indicate	VERB
gsjp-10033	10	8	that	that	SCONJ
gsjp-10033	10	9	data	datum	NOUN
gsjp-10033	10	10	were	be	AUX
gsjp-10033	10	11	added	add	VERB
gsjp-10033	10	12	to	to	ADP
gsjp-10033	10	13	the	the	DET
gsjp-10033	10	14	dataset	dataset	NOUN
gsjp-10033	10	15	incorrectly	incorrectly	ADV
gsjp-10033	10	16	.	.	PUNCT
gsjp-10033	11	1	additionally	additionally	ADV
gsjp-10033	11	2	,	,	PUNCT
gsjp-10033	11	3	missing	miss	VERB
gsjp-10033	11	4	data	datum	NOUN
gsjp-10033	11	5	can	can	AUX
gsjp-10033	11	6	result	result	VERB
gsjp-10033	11	7	in	in	ADP
gsjp-10033	11	8	decreased	decrease	VERB
gsjp-10033	11	9	analysis	analysis	NOUN
gsjp-10033	11	10	power	power	NOUN
gsjp-10033	11	11	or	or	CCONJ
gsjp-10033	11	12	,	,	PUNCT
gsjp-10033	11	13	depending	depend	VERB
gsjp-10033	11	14	on	on	ADP
gsjp-10033	11	15	the	the	DET
gsjp-10033	11	16	analysis	analysis	NOUN
gsjp-10033	11	17	required	require	VERB
gsjp-10033	11	18	,	,	PUNCT
gsjp-10033	11	19	may	may	AUX
gsjp-10033	11	20	prevent	prevent	VERB
gsjp-10033	11	21	an	an	DET
gsjp-10033	11	22	analysis	analysis	NOUN
gsjp-10033	11	23	from	from	ADP
gsjp-10033	11	24	being	be	AUX
gsjp-10033	11	25	completed	complete	VERB
gsjp-10033	11	26	entirely	entirely	ADV
gsjp-10033	11	27	.	.	PUNCT
gsjp-10033	12	1	accurate	accurate	ADJ
gsjp-10033	12	2	dataset	dataset	NOUN
gsjp-10033	12	3	merging	merging	NOUN
gsjp-10033	12	4	is	be	AUX
gsjp-10033	12	5	vital	vital	ADJ
gsjp-10033	12	6	to	to	PART
gsjp-10033	12	7	prevent	prevent	VERB
gsjp-10033	12	8	potential	potential	ADJ
gsjp-10033	12	9	errors	error	NOUN
gsjp-10033	12	10	from	from	ADP
gsjp-10033	12	11	being	be	AUX
gsjp-10033	12	12	introduced	introduce	VERB
gsjp-10033	12	13	,	,	PUNCT
gsjp-10033	12	14	prevent	prevent	VERB
gsjp-10033	12	15	data	datum	NOUN
gsjp-10033	12	16	loss	loss	NOUN
gsjp-10033	12	17	,	,	PUNCT
gsjp-10033	12	18	and	and	CCONJ
gsjp-10033	12	19	allow	allow	VERB
gsjp-10033	12	20	researchers	researcher	NOUN
gsjp-10033	12	21	to	to	PART
gsjp-10033	12	22	have	have	VERB
gsjp-10033	12	23	more	more	ADV
gsjp-10033	12	24	reliable	reliable	ADJ
gsjp-10033	12	25	and	and	CCONJ
gsjp-10033	12	26	valid	valid	ADJ
gsjp-10033	12	27	datasets	dataset	NOUN
gsjp-10033	12	28	with	with	ADP
gsjp-10033	12	29	which	which	PRON
gsjp-10033	12	30	to	to	PART
gsjp-10033	12	31	conduct	conduct	VERB
gsjp-10033	12	32	analyses	analysis	NOUN
gsjp-10033	12	33	.	.	PUNCT
gsjp-10033	13	1	thus	thus	ADV
gsjp-10033	13	2	,	,	PUNCT
gsjp-10033	13	3	the	the	DET
gsjp-10033	13	4	accurate	accurate	ADJ
gsjp-10033	13	5	merging	merging	NOUN
gsjp-10033	13	6	of	of	ADP
gsjp-10033	13	7	discrete	discrete	ADJ
gsjp-10033	13	8	datasets	dataset	NOUN
gsjp-10033	13	9	allows	allow	VERB
gsjp-10033	13	10	researchers	researcher	NOUN
gsjp-10033	13	11	to	to	PART
gsjp-10033	13	12	conduct	conduct	VERB
gsjp-10033	13	13	analyses	analysis	NOUN
gsjp-10033	13	14	on	on	ADP
gsjp-10033	13	15	a	a	DET
gsjp-10033	13	16	more	more	ADV
gsjp-10033	13	17	accurate	accurate	ADJ
gsjp-10033	13	18	dataset	dataset	NOUN
gsjp-10033	13	19	,	,	PUNCT
gsjp-10033	13	20	therefore	therefore	ADV
gsjp-10033	13	21	producing	produce	VERB
gsjp-10033	13	22	results	result	NOUN
gsjp-10033	13	23	that	that	PRON
gsjp-10033	13	24	have	have	VERB
gsjp-10033	13	25	greater	great	ADJ
gsjp-10033	13	26	reliability	reliability	NOUN
gsjp-10033	13	27	,	,	PUNCT
gsjp-10033	13	28	are	be	AUX
gsjp-10033	13	29	more	more	ADV
gsjp-10033	13	30	generalizable	generalizable	ADJ
gsjp-10033	13	31	,	,	PUNCT
gsjp-10033	13	32	and	and	CCONJ
gsjp-10033	13	33	are	be	AUX
gsjp-10033	13	34	more	more	ADV
gsjp-10033	13	35	replicable	replicable	ADJ
gsjp-10033	13	36	.	.	PUNCT
gsjp-10033	14	1	for	for	ADP
gsjp-10033	14	2	the	the	DET
gsjp-10033	14	3	purposes	purpose	NOUN
gsjp-10033	14	4	of	of	ADP
gsjp-10033	14	5	this	this	DET
gsjp-10033	14	6	article	article	NOUN
gsjp-10033	14	7	,	,	PUNCT
gsjp-10033	14	8	the	the	DET
gsjp-10033	14	9	focus	focus	NOUN
gsjp-10033	14	10	will	will	AUX
gsjp-10033	14	11	stay	stay	VERB
gsjp-10033	14	12	on	on	ADP
gsjp-10033	14	13	mismatched	mismatched	ADJ
gsjp-10033	14	14	or	or	CCONJ
gsjp-10033	14	15	divergent	divergent	ADJ
gsjp-10033	14	16	dataset	dataset	NOUN
gsjp-10033	14	17	merging	merging	NOUN
gsjp-10033	14	18	using	use	VERB
gsjp-10033	14	19	spss	spss	PROPN
gsjp-10033	14	20	software	software	NOUN
gsjp-10033	14	21	.	.	PUNCT
gsjp-10033	15	1	literature	literature	NOUN
gsjp-10033	15	2	review	review	PROPN
gsjp-10033	15	3	to	to	PART
gsjp-10033	15	4	assess	assess	VERB
gsjp-10033	15	5	the	the	DET
gsjp-10033	15	6	need	need	NOUN
gsjp-10033	15	7	for	for	ADP
gsjp-10033	15	8	an	an	DET
gsjp-10033	15	9	informative	informative	ADJ
gsjp-10033	15	10	guide	guide	NOUN
gsjp-10033	15	11	regarding	regard	VERB
gsjp-10033	15	12	how	how	SCONJ
gsjp-10033	15	13	to	to	PART
gsjp-10033	15	14	merge	merge	VERB
gsjp-10033	15	15	mismatched	mismatched	ADJ
gsjp-10033	15	16	datasets	dataset	NOUN
gsjp-10033	15	17	,	,	PUNCT
gsjp-10033	15	18	the	the	DET
gsjp-10033	15	19	authors	author	NOUN
gsjp-10033	15	20	chose	choose	VERB
gsjp-10033	15	21	two	two	NUM
gsjp-10033	15	22	separate	separate	ADJ
gsjp-10033	15	23	approaches	approach	NOUN
gsjp-10033	15	24	to	to	ADP
gsjp-10033	15	25	conducting	conduct	VERB
gsjp-10033	15	26	the	the	DET
gsjp-10033	15	27	lit	light	VERB
gsjp-10033	15	28	'	'	PUNCT
gsjp-10033	15	29	ȅȗ	ȅȗ	ADP
gsjp-10033	15	30	�	�	PROPN
gsjp-10033	15	31	ǿƺǿρ	ǿƺǿρ	PROPN
gsjp-10033	15	32	�	�	PROPN
gsjp-10033	15	33	ȗǔƺșȅǿșॹ	ȗǔƺșȅǿșॹ	PROPN
gsjp-10033	15	34	�	�	PROPN
gsjp-10033	15	35	ȗǔșǔƺȗljǧǔȗș	ȗǔșǔƺȗljǧǔȗș	PROPN
gsjp-10033	15	36	�	�	PROPN
gsjp-10033	15	37	ȓǹƺljǔ	ȓǹƺljǔ	PROPN
gsjp-10033	15	38	�	�	PROPN
gsjp-10033	15	39	ƞǧǔǩȗ	ƞǧǔǩȗ	PROPN
gsjp-10033	15	40	�	�	PROPN
gsjp-10033	15	41	ǐƺƞƺ	ǐƺƞƺ	PROPN
gsjp-10033	15	42	�	�	PROPN
gsjp-10033	15	43	ǩǿ	ǩǿ	NOUN
gsjp-10033	15	44	�	�	PROPN
gsjp-10033	15	45	ǿȣǹƞǩȓǹǔ	ǿȣǹƞǩȓǹǔ	NOUN
gsjp-10033	15	46	�	�	PROPN
gsjp-10033	15	47	ǔǹǔljƞȗȅǿǩlj	ǔǹǔljƞȗȅǿǩlj	PROPN
gsjp-10033	15	48	�	�	PROPN
gsjp-10033	15	49	ǐƺƞƺșǔƞș	ǐƺƞƺșǔƞș	PROPN
gsjp-10033	15	50	�	�	PROPN
gsjp-10033	15	51	ƺǿǐ	ƺǿǐ	PROPN
gsjp-10033	15	52	�	�	PROPN
gsjp-10033	15	53	ǹƺƞǔȗ	ǹƺƞǔȗ	NOUN
gsjp-10033	15	54	�	�	PROPN
gsjp-10033	15	55	йǿǐ	йǿǐ	PROPN
gsjp-10033	15	56	�	�	PROPN
gsjp-10033	15	57	ƞǧƺƞ	ƞǧƺƞ	PROPN
gsjp-10033	15	58	�	�	PROPN
gsjp-10033	15	59	ƞǧǔρ	ƞǧǔρ	PROPN
gsjp-10033	15	60	�	�	PROPN
gsjp-10033	15	61	λǩșǧ	λǩșǧ	PROPN
gsjp-10033	15	62	�	�	PROPN
gsjp-10033	15	63	ƞȅ	ƞȅ	NOUN
gsjp-10033	15	64	�	�	PROPN
gsjp-10033	15	65	ljȅǿljǩǿǔ	ljȅǿljǩǿǔ	PROPN
gsjp-10033	15	66	�	�	PROPN
gsjp-10033	15	67	ƞǧȅșǔ	ƞǧȅșǔ	PROPN
gsjp-10033	15	68	�	�	PROPN
gsjp-10033	15	69	ǐƺƞƺșǔƞș	ǐƺƞƺșǔƞș	PROPN
gsjp-10033	15	70	�	�	PROPN
gsjp-10033	15	71	for	for	ADP
gsjp-10033	15	72	a	a	DET
gsjp-10033	15	73	particular	particular	ADJ
gsjp-10033	15	74	analysis	analysis	NOUN
gsjp-10033	15	75	.	.	PUNCT
gsjp-10033	16	1	this	this	DET
gsjp-10033	16	2	article	article	NOUN
gsjp-10033	16	3	reports	report	VERB
gsjp-10033	16	4	on	on	ADP
gsjp-10033	16	5	an	an	DET
gsjp-10033	16	6	analysis	analysis	NOUN
gsjp-10033	16	7	of	of	ADP
gsjp-10033	16	8	the	the	DET
gsjp-10033	16	9	extant	extant	ADJ
gsjp-10033	16	10	literature	literature	NOUN
gsjp-10033	16	11	on	on	ADP
gsjp-10033	16	12	combining	combine	VERB
gsjp-10033	16	13	multiple	multiple	ADJ
gsjp-10033	16	14	and/or	and/or	CCONJ
gsjp-10033	16	15	divergent	divergent	ADJ
gsjp-10033	16	16	datasets	dataset	NOUN
gsjp-10033	16	17	ƺǿǐ	ƺǿǐ	PROPN
gsjp-10033	16	18	�	�	PROPN
gsjp-10033	16	19	ȓȗȅκǩǐǔș	ȓȗȅκǩǐǔș	NOUN
gsjp-10033	16	20	�	�	PROPN
gsjp-10033	16	21	ljȅƞǧ	ljȅƞǧ	PROPN
gsjp-10033	16	22	�	�	PROPN
gsjp-10033	16	23	ƺ	ƺ	SYM
gsjp-10033	16	24	�	�	PROPN
gsjp-10033	16	25	ƞȣƞȅȗǩƺǹ	ƞȣƞȅȗǩƺǹ	PROPN
gsjp-10033	16	26	�	�	PROPN
gsjp-10033	16	27	ƺǿǐ	ƺǿǐ	PROPN
gsjp-10033	16	28	�	�	PROPN
gsjp-10033	16	29	ȗǔǹƺƞǔǐ	ȗǔǹƺƞǔǐ	PROPN
gsjp-10033	16	30	�	�	PROPN
gsjp-10033	16	31	șρǿƞƺπ	șρǿƞƺπ	PROPN
gsjp-10033	16	32	�	�	PROPN
gsjp-10033	16	33	ƞǧƺƞ	ƞǧƺƞ	PROPN
gsjp-10033	16	34	�	�	PROPN
gsjp-10033	16	35	ljȅǿljǩǿǔș	ljȅǿljǩǿǔș	NOUN
gsjp-10033	16	36	�	�	PROPN
gsjp-10033	16	37	ǿȅǿেǿƺƞljǧǩǿǡ	ǿȅǿেǿƺƞljǧǩǿǡ	PROPN
gsjp-10033	16	38	�	�	PROPN
gsjp-10033	16	39	ǐƺƞƺșǔƞș	ǐƺƞƺșǔƞș	PROPN
gsjp-10033	16	40	�	�	PROPN
gsjp-10033	16	41	শǩঀǔঀॹ	শǩঀǔঀॹ	PROPN
gsjp-10033	16	42	�	�	PROPN
gsjp-10033	16	43	ǟȗȅǿ	ǟȗȅǿ	PROPN
gsjp-10033	16	44	�	�	PROPN
gsjp-10033	16	45	ǐǩаǔȗǔǿƞ	ǐǩаǔȗǔǿƞ	PROPN
gsjp-10033	16	46	�	�	PROPN
gsjp-10033	16	47	șȅȣȗljǔșষ	șȅȣȗljǔșষ	PROPN
gsjp-10033	16	48	�	�	PROPN
gsjp-10033	16	49	ǩǿ	ǩǿ	NOUN
gsjp-10033	16	50	�	�	PROPN
gsjp-10033	16	51	șȣljǧ	șȣljǧ	PROPN
gsjp-10033	16	52	�	�	PROPN
gsjp-10033	16	53	ƺ	ƺ	NOUN
gsjp-10033	16	54	�	�	PROPN
gsjp-10033	16	55	λƺρ	λƺρ	ADJ
gsjp-10033	16	56	�	�	PROPN
gsjp-10033	16	57	ƞǧƺƞ	ƞǧƺƞ	PROPN
gsjp-10033	16	58	�	�	PROPN
gsjp-10033	16	59	ƺǹǹ	ƺǹǹ	PROPN
gsjp-10033	16	60	�	�	PROPN
gsjp-10033	16	61	ǐƺƞƺ	ǐƺƞƺ	PROPN
gsjp-10033	16	62	�	�	PROPN
gsjp-10033	16	63	ǩș	ǩș	NOUN
gsjp-10033	16	64	�	�	PROPN
gsjp-10033	16	65	ljȅǿƞƺǩǿǔǐ	ljȅǿƞƺǩǿǔǐ	NOUN
gsjp-10033	16	66	�	�	PROPN
gsjp-10033	16	67	ǩǿ	ǩǿ	PROPN
gsjp-10033	16	68	�	�	PROPN
gsjp-10033	16	69	ƞǧǔ	ƞǧǔ	NOUN
gsjp-10033	16	70	�	�	PROPN
gsjp-10033	16	71	йǿƺǹ	йǿƺǹ	PROPN
gsjp-10033	16	72	�	�	PROPN
gsjp-10033	16	73	ljȅǿljǩǿǔǐ	ljȅǿljǩǿǔǐ	PROPN
gsjp-10033	16	74	�	�	PROPN
gsjp-10033	16	75	ǐƺƞƺșǔƞ	ǐƺƞƺșǔƞ	PROPN
gsjp-10033	16	76	�	�	PROPN
gsjp-10033	16	77	λǩƞǧ	λǩƞǧ	PROPN
gsjp-10033	16	78	�	�	PROPN
gsjp-10033	16	79	ǩǐǔǿƞǩйljƺƞǩȅǿ	ǩǐǔǿƞǩйljƺƞǩȅǿ	PROPN
gsjp-10033	16	80	�	�	PROPN
gsjp-10033	16	81	ȅǟ	ȅǟ	PROPN
gsjp-10033	16	82	�	�	PROPN
gsjp-10033	16	83	ǐƺƞƺ	ǐƺƞƺ	PROPN
gsjp-10033	16	84	�	�	PROPN
gsjp-10033	16	85	șȅȣȗljǔঀ	șȅȣȗljǔঀ	PROPN
gsjp-10033	16	86	�	�	PROPN
gsjp-10033	16	87	eǧǩș	eǧǩș	PROPN
gsjp-10033	16	88	�	�	PROPN
gsjp-10033	16	89	șρǿƞƺπ	șρǿƞƺπ	PROPN
gsjp-10033	16	90	�	�	PROPN
gsjp-10033	16	91	ȗǔȓȗǔșǔǿƞș	ȗǔȓȗǔșǔǿƞș	PROPN
gsjp-10033	16	92	�	�	PROPN
gsjp-10033	16	93	ƺǿ	ƺǿ	ADP
gsjp-10033	16	94	�	�	PROPN
gsjp-10033	16	95	ǩǿȓȗȅκǔǿǔǿƞ	ǩǿȓȗȅκǔǿǔǿƞ	PROPN
gsjp-10033	16	96	�	�	PROPN
gsjp-10033	16	97	over	over	ADP
gsjp-10033	16	98	the	the	DET
gsjp-10033	16	99	existing	exist	VERB
gsjp-10033	16	100	spss	spss	NOUN
gsjp-10033	16	101	(	(	PUNCT
gsjp-10033	16	102	v23	v23	PROPN
gsjp-10033	16	103	-	-	PUNCT
gsjp-10033	16	104	v27	v27	NOUN
gsjp-10033	16	105	)	)	PUNCT
gsjp-10033	16	106	combining	combine	VERB
gsjp-10033	16	107	dataset	dataset	ADJ
gsjp-10033	16	108	routines	routine	NOUN
gsjp-10033	16	109	in	in	ADP
gsjp-10033	16	110	terms	term	NOUN
gsjp-10033	16	111	of	of	ADP
gsjp-10033	16	112	1	1	NUM
gsjp-10033	16	113	)	)	PUNCT
gsjp-10033	16	114	expanding	expand	VERB
gsjp-10033	16	115	the	the	DET
gsjp-10033	16	116	types	type	NOUN
gsjp-10033	16	117	of	of	ADP
gsjp-10033	16	118	datasets	dataset	NOUN
gsjp-10033	16	119	that	that	PRON
gsjp-10033	16	120	can	can	AUX
gsjp-10033	16	121	be	be	AUX
gsjp-10033	16	122	combined	combine	VERB
gsjp-10033	16	123	,	,	PUNCT
gsjp-10033	16	124	2	2	NUM
gsjp-10033	16	125	)	)	PUNCT
gsjp-10033	16	126	ljȅǿȓǹǔƞǔǿǔșș	ljȅǿȓǹǔƞǔǿǔșș	NOUN
gsjp-10033	16	127	�	�	PROPN
gsjp-10033	16	128	ȅǟ	ȅǟ	PROPN
gsjp-10033	16	129	�	�	PROPN
gsjp-10033	16	130	ƞǧǔ	ƞǧǔ	PROPN
gsjp-10033	16	131	�	�	PROPN
gsjp-10033	16	132	ȗǔșȣǹƞǩǿǡ	ȗǔșȣǹƞǩǿǡ	PROPN
gsjp-10033	16	133	�	�	PROPN
gsjp-10033	16	134	ǐƺƞƺșǔƞॹ	ǐƺƞƺșǔƞॹ	PROPN
gsjp-10033	16	135	�	�	PROPN
gsjp-10033	16	136	ƺǿǐࢴ	ƺǿǐࢴ	VERB
gsjp-10033	16	137	�	�	PROPN
gsjp-10033	16	138	ষ	ষ	PROPN
gsjp-10033	16	139	�	�	PROPN
gsjp-10033	16	140	ǟƺljǩǹǩƞƺƞǩǿǡ	ǟƺljǩǹǩƞƺƞǩǿǡ	NOUN
gsjp-10033	16	141	�	�	PROPN
gsjp-10033	16	142	ǿƺǿƺǡǔǿǔǿƞ	ǿƺǿƺǡǔǿǔǿƞ	PROPN
gsjp-10033	16	143	�	�	PROPN
gsjp-10033	16	144	ȅǟ	ȅǟ	NOUN
gsjp-10033	16	145	�	�	PROPN
gsjp-10033	16	146	ǿȣǹƞǩȓǹǔ	ǿȣǹƞǩȓǹǔ	NOUN
gsjp-10033	16	147	�	�	PROPN
gsjp-10033	16	148	ƺǿǐইȅȗ	ƺǿǐইȅȗ	PROPN
gsjp-10033	16	149	�	�	PROPN
gsjp-10033	16	150	ǐǩκǔȗǡǔǿƞ	ǐǩκǔȗǡǔǿƞ	PROPN
gsjp-10033	16	151	�	�	PROPN
gsjp-10033	16	152	ǐƺƞƺ	ǐƺƞƺ	PROPN
gsjp-10033	16	153	�	�	PROPN
gsjp-10033	16	154	șǔƞșঀ	șǔƞșঀ	PROPN
gsjp-10033	16	155	�	�	PROPN
gsjp-10033	16	156	�	�	PROPN
gsjp-10033	16	157	ǿ	ǿ	NOUN
gsjp-10033	16	158	�	�	PROPN
gsjp-10033	16	159	ƺǐǐǩƞǩȅǿƺǹ	ƺǐǐǩƞǩȅǿƺǹ	PROPN
gsjp-10033	16	160	�	�	PROPN
gsjp-10033	16	161	ljǔǿǔйƞ	ljǔǿǔйƞ	NOUN
gsjp-10033	16	162	�	�	PROPN
gsjp-10033	16	163	of	of	ADP
gsjp-10033	16	164	using	use	VERB
gsjp-10033	16	165	this	this	DET
gsjp-10033	16	166	process	process	NOUN
gsjp-10033	16	167	is	be	AUX
gsjp-10033	16	168	the	the	DET
gsjp-10033	16	169	incorporation	incorporation	NOUN
gsjp-10033	16	170	of	of	ADP
gsjp-10033	16	171	a	a	DET
gsjp-10033	16	172	method	method	NOUN
gsjp-10033	16	173	to	to	PART
gsjp-10033	16	174	test	test	VERB
gsjp-10033	16	175	the	the	DET
gsjp-10033	16	176	accuracy	accuracy	NOUN
gsjp-10033	16	177	of	of	ADP
gsjp-10033	16	178	the	the	DET
gsjp-10033	16	179	merged	merge	VERB
gsjp-10033	16	180	data	datum	NOUN
gsjp-10033	16	181	and	and	CCONJ
gsjp-10033	16	182	thus	thus	ADV
gsjp-10033	16	183	verify	verify	VERB
gsjp-10033	16	184	the	the	DET
gsjp-10033	16	185	data	datum	NOUN
gsjp-10033	16	186	quality	quality	NOUN
gsjp-10033	16	187	.	.	PUNCT
gsjp-10033	17	1	the	the	DET
gsjp-10033	17	2	spss	spss	PROPN
gsjp-10033	17	3	syntax	syntax	NOUN
gsjp-10033	17	4	along	along	ADP
gsjp-10033	17	5	with	with	ADP
gsjp-10033	17	6	instructions	instruction	NOUN
gsjp-10033	17	7	and	and	CCONJ
gsjp-10033	17	8	examples	example	NOUN
gsjp-10033	17	9	are	be	AUX
gsjp-10033	17	10	reviewed	review	VERB
gsjp-10033	17	11	in	in	ADP
gsjp-10033	17	12	the	the	DET
gsjp-10033	17	13	article	article	NOUN
gsjp-10033	17	14	.	.	PUNCT
gsjp-10033	18	1	keywords	keyword	NOUN
gsjp-10033	18	2	:	:	PUNCT
gsjp-10033	18	3	spss	spss	ADJ
gsjp-10033	18	4	,	,	PUNCT
gsjp-10033	18	5	syntax	syntax	NOUN
gsjp-10033	18	6	,	,	PUNCT
gsjp-10033	18	7	datasets	dataset	NOUN
gsjp-10033	18	8	,	,	PUNCT
gsjp-10033	18	9	merging	merge	VERB
gsjp-10033	18	10	,	,	PUNCT
gsjp-10033	18	11	longitudinal	longitudinal	ADJ
gsjp-10033	18	12	data	datum	NOUN
gsjp-10033	18	13	6	6	NUM
gsjp-10033	18	14	audette	audette	NOUN
gsjp-10033	18	15	et	et	PROPN
gsjp-10033	18	16	al	al	PROPN
gsjp-10033	18	17	.	.	PROPN
gsjp-10033	19	1	erature	erature	NOUN
gsjp-10033	19	2	searches	search	NOUN
gsjp-10033	19	3	.	.	PUNCT
gsjp-10033	20	1	first	first	ADV
gsjp-10033	20	2	,	,	PUNCT
gsjp-10033	20	3	a	a	DET
gsjp-10033	20	4	literature	literature	NOUN
gsjp-10033	20	5	search	search	NOUN
gsjp-10033	20	6	using	use	VERB
gsjp-10033	20	7	the	the	DET
gsjp-10033	20	8	research	research	NOUN
gsjp-10033	20	9	databases	database	NOUN
gsjp-10033	20	10	ebscohost	ebscohost	NOUN
gsjp-10033	20	11	(	(	PUNCT
gsjp-10033	20	12	which	which	PRON
gsjp-10033	20	13	is	be	AUX
gsjp-10033	20	14	an	an	DET
gsjp-10033	20	15	umbrella	umbrella	NOUN
gsjp-10033	20	16	dataset	dataset	NOUN
gsjp-10033	20	17	encompassing	encompass	VERB
gsjp-10033	20	18	approximately	approximately	ADV
gsjp-10033	20	19	70	70	NUM
gsjp-10033	20	20	individual	individual	ADJ
gsjp-10033	20	21	publisher	publisher	NOUN
gsjp-10033	20	22	databases	database	NOUN
gsjp-10033	20	23	)	)	PUNCT
gsjp-10033	20	24	,	,	PUNCT
gsjp-10033	20	25	web	web	NOUN
gsjp-10033	20	26	of	of	ADP
gsjp-10033	20	27	science	science	NOUN
gsjp-10033	20	28	,	,	PUNCT
gsjp-10033	20	29	sage	sage	NOUN
gsjp-10033	20	30	premier	premier	NOUN
gsjp-10033	20	31	,	,	PUNCT
gsjp-10033	20	32	science	science	NOUN
gsjp-10033	20	33	direct	direct	ADJ
gsjp-10033	20	34	,	,	PUNCT
gsjp-10033	20	35	and	and	CCONJ
gsjp-10033	20	36	google	google	PROPN
gsjp-10033	20	37	scholar	scholar	NOUN
gsjp-10033	20	38	was	be	AUX
gsjp-10033	20	39	conducted	conduct	VERB
gsjp-10033	20	40	.	.	PUNCT
gsjp-10033	21	1	the	the	DET
gsjp-10033	21	2	boolean	boolean	ADJ
gsjp-10033	21	3	search	search	NOUN
gsjp-10033	21	4	phrase	phrase	NOUN
gsjp-10033	21	5	utilized	utilize	VERB
gsjp-10033	21	6	for	for	ADP
gsjp-10033	21	7	this	this	DET
gsjp-10033	21	8	search	search	NOUN
gsjp-10033	21	9	was	be	AUX
gsjp-10033	21	10	as	as	SCONJ
gsjp-10033	21	11	follows	follow	VERB
gsjp-10033	21	12	:	:	PUNCT
gsjp-10033	21	13	spss	spss	ADJ
gsjp-10033	21	14	and	and	CCONJ
gsjp-10033	21	15	dataset	dataset	NOUN
gsjp-10033	21	16	and	and	CCONJ
gsjp-10033	21	17	(	(	PUNCT
gsjp-10033	21	18	merg	merg	PROPN
gsjp-10033	21	19	*	*	PROPN
gsjp-10033	21	20	or	or	CCONJ
gsjp-10033	21	21	combin	combin	NOUN
gsjp-10033	21	22	*	*	NOUN
gsjp-10033	21	23	or	or	CCONJ
gsjp-10033	21	24	concatenat	concatenat	NOUN
gsjp-10033	21	25	*	*	PUNCT
gsjp-10033	21	26	or	or	CCONJ
gsjp-10033	21	27	mung	mung	PROPN
gsjp-10033	21	28	*	*	PUNCT
gsjp-10033	21	29	or	or	CCONJ
gsjp-10033	21	30	wrangl	wrangl	NOUN
gsjp-10033	21	31	*	*	NOUN
gsjp-10033	21	32	)	)	PUNCT
gsjp-10033	21	33	.	.	PUNCT
gsjp-10033	22	1	for	for	ADP
gsjp-10033	22	2	databases	database	NOUN
gsjp-10033	22	3	that	that	PRON
gsjp-10033	22	4	do	do	AUX
gsjp-10033	22	5	not	not	PART
gsjp-10033	22	6	use	use	VERB
gsjp-10033	22	7	the	the	DET
gsjp-10033	22	8	boolean	boolean	ADJ
gsjp-10033	22	9	system	system	NOUN
gsjp-10033	22	10	exactly	exactly	ADV
gsjp-10033	22	11	(	(	PUNCT
gsjp-10033	22	12	e.g.	e.g.	ADV
gsjp-10033	22	13	,	,	PUNCT
gsjp-10033	22	14	google	google	NOUN
gsjp-10033	22	15	scholar	scholar	NOUN
gsjp-10033	22	16	)	)	PUNCT
gsjp-10033	22	17	,	,	PUNCT
gsjp-10033	22	18	these	these	DET
gsjp-10033	22	19	search	search	NOUN
gsjp-10033	22	20	terms	term	NOUN
gsjp-10033	22	21	were	be	AUX
gsjp-10033	22	22	added	add	VERB
gsjp-10033	22	23	manually	manually	ADV
gsjp-10033	22	24	to	to	ADP
gsjp-10033	22	25	the	the	DET
gsjp-10033	22	26	advanced	advanced	ADJ
gsjp-10033	22	27	search	search	NOUN
gsjp-10033	22	28	settings	setting	NOUN
gsjp-10033	22	29	of	of	ADP
gsjp-10033	22	30	each	each	DET
gsjp-10033	22	31	database	database	NOUN
gsjp-10033	22	32	.	.	PUNCT
gsjp-10033	23	1	the	the	DET
gsjp-10033	23	2	terms	term	NOUN
gsjp-10033	23	3	mung	mung	VERB
gsjp-10033	23	4	and	and	CCONJ
gsjp-10033	23	5	wrangle	wrangle	PROPN
gsjp-10033	23	6	were	be	AUX
gsjp-10033	23	7	incorporated	incorporate	VERB
gsjp-10033	23	8	once	once	SCONJ
gsjp-10033	23	9	we	we	PRON
gsjp-10033	23	10	discovered	discover	VERB
gsjp-10033	23	11	that	that	SCONJ
gsjp-10033	23	12	these	these	DET
gsjp-10033	23	13	terms	term	NOUN
gsjp-10033	23	14	are	be	AUX
gsjp-10033	23	15	used	use	VERB
gsjp-10033	23	16	outside	outside	ADP
gsjp-10033	23	17	of	of	ADP
gsjp-10033	23	18	psychology	psychology	NOUN
gsjp-10033	23	19	to	to	PART
gsjp-10033	23	20	describe	describe	VERB
gsjp-10033	23	21	the	the	DET
gsjp-10033	23	22	data	data	NOUN
gsjp-10033	23	23	-	-	PUNCT
gsjp-10033	23	24	cleaning	clean	VERB
gsjp-10033	23	25	process	process	NOUN
gsjp-10033	23	26	,	,	PUNCT
gsjp-10033	23	27	which	which	PRON
gsjp-10033	23	28	includes	include	VERB
gsjp-10033	23	29	dataset	dataset	NOUN
gsjp-10033	23	30	merging	merging	NOUN
gsjp-10033	23	31	(	(	PUNCT
gsjp-10033	23	32	braun	braun	PROPN
gsjp-10033	23	33	et	et	PROPN
gsjp-10033	23	34	al	al	PROPN
gsjp-10033	23	35	.	.	PROPN
gsjp-10033	23	36	,	,	PUNCT
gsjp-10033	23	37	2018	2018	NUM
gsjp-10033	23	38	;	;	PUNCT
gsjp-10033	23	39	endel	endel	PROPN
gsjp-10033	23	40	&	&	CCONJ
gsjp-10033	23	41	piringer	piringer	PROPN
gsjp-10033	23	42	,	,	PUNCT
gsjp-10033	23	43	2015	2015	NUM
gsjp-10033	23	44	;	;	PUNCT
gsjp-10033	23	45	rattenbury	rattenbury	NOUN
gsjp-10033	23	46	et	et	PROPN
gsjp-10033	23	47	al	al	PROPN
gsjp-10033	23	48	.	.	PROPN
gsjp-10033	23	49	,	,	PUNCT
gsjp-10033	23	50	2017	2017	NUM
gsjp-10033	23	51	)	)	PUNCT
gsjp-10033	23	52	.	.	PUNCT
gsjp-10033	24	1	the	the	DET
gsjp-10033	24	2	above	above	ADJ
gsjp-10033	24	3	search	search	NOUN
gsjp-10033	24	4	phrase	phrase	NOUN
gsjp-10033	24	5	and	and	CCONJ
gsjp-10033	24	6	its	its	PRON
gsjp-10033	24	7	individual	individual	ADJ
gsjp-10033	24	8	search	search	NOUN
gsjp-10033	24	9	terms	term	NOUN
gsjp-10033	24	10	were	be	AUX
gsjp-10033	24	11	used	use	VERB
gsjp-10033	24	12	to	to	PART
gsjp-10033	24	13	identify	identify	VERB
gsjp-10033	24	14	articles	article	NOUN
gsjp-10033	24	15	containing	contain	VERB
gsjp-10033	24	16	these	these	DET
gsjp-10033	24	17	terms	term	NOUN
gsjp-10033	24	18	in	in	ADP
gsjp-10033	24	19	their	their	PRON
gsjp-10033	24	20	abstracts	abstract	NOUN
gsjp-10033	24	21	.	.	PUNCT
gsjp-10033	25	1	the	the	DET
gsjp-10033	25	2	resulting	result	VERB
gsjp-10033	25	3	list	list	NOUN
gsjp-10033	25	4	from	from	ADP
gsjp-10033	25	5	ebscohost	ebscohost	NOUN
gsjp-10033	25	6	provided	provide	VERB
gsjp-10033	25	7	27	27	NUM
gsjp-10033	25	8	peer	peer	NOUN
gsjp-10033	25	9	-	-	PUNCT
gsjp-10033	25	10	reviewed	review	VERB
gsjp-10033	25	11	articles	article	NOUN
gsjp-10033	25	12	,	,	PUNCT
gsjp-10033	25	13	while	while	SCONJ
gsjp-10033	25	14	the	the	DET
gsjp-10033	25	15	web	web	NOUN
gsjp-10033	25	16	of	of	ADP
gsjp-10033	25	17	science	science	NOUN
gsjp-10033	25	18	search	search	NOUN
gsjp-10033	25	19	produced	produce	VERB
gsjp-10033	25	20	24	24	NUM
gsjp-10033	25	21	.	.	PUNCT
gsjp-10033	26	1	none	none	NOUN
gsjp-10033	26	2	of	of	ADP
gsjp-10033	26	3	these	these	DET
gsjp-10033	26	4	results	result	NOUN
gsjp-10033	26	5	acknowledged	acknowledge	VERB
gsjp-10033	26	6	the	the	DET
gsjp-10033	26	7	problem	problem	NOUN
gsjp-10033	26	8	of	of	ADP
gsjp-10033	26	9	merging	merge	VERB
gsjp-10033	26	10	mismatched	mismatched	ADJ
gsjp-10033	26	11	or	or	CCONJ
gsjp-10033	26	12	divergent	divergent	ADJ
gsjp-10033	26	13	datasets	dataset	NOUN
gsjp-10033	26	14	.	.	PUNCT
gsjp-10033	27	1	a	a	DET
gsjp-10033	27	2	second	second	ADJ
gsjp-10033	27	3	literature	literature	NOUN
gsjp-10033	27	4	search	search	NOUN
gsjp-10033	27	5	was	be	AUX
gsjp-10033	27	6	conducted	conduct	VERB
gsjp-10033	27	7	using	use	VERB
gsjp-10033	27	8	google	google	PROPN
gsjp-10033	27	9	and	and	CCONJ
gsjp-10033	27	10	google	google	PROPN
gsjp-10033	27	11	scholar	scholar	NOUN
gsjp-10033	27	12	.	.	PUNCT
gsjp-10033	28	1	since	since	SCONJ
gsjp-10033	28	2	google	google	PROPN
gsjp-10033	28	3	scholar	scholar	NOUN
gsjp-10033	28	4	uses	use	VERB
gsjp-10033	28	5	a	a	DET
gsjp-10033	28	6	limited	limited	ADJ
gsjp-10033	28	7	form	form	NOUN
gsjp-10033	28	8	of	of	ADP
gsjp-10033	28	9	boolean	boolean	ADJ
gsjp-10033	28	10	,	,	PUNCT
gsjp-10033	28	11	the	the	DET
gsjp-10033	28	12	search	search	NOUN
gsjp-10033	28	13	phrase	phrase	NOUN
gsjp-10033	28	14	was	be	AUX
gsjp-10033	28	15	changed	change	VERB
gsjp-10033	28	16	to	to	ADP
gsjp-10033	28	17	the	the	DET
gsjp-10033	28	18	following	following	NOUN
gsjp-10033	28	19	:	:	PUNCT
gsjp-10033	28	20	spss	spss	PROPN
gsjp-10033	28	21	and	and	CCONJ
gsjp-10033	28	22	dataset	dataset	NOUN
gsjp-10033	28	23	and	and	CCONJ
gsjp-10033	28	24	(	(	PUNCT
gsjp-10033	28	25	merge	merge	VERB
gsjp-10033	28	26	or	or	CCONJ
gsjp-10033	28	27	merged	merge	VERB
gsjp-10033	28	28	or	or	CCONJ
gsjp-10033	28	29	merging	merge	VERB
gsjp-10033	28	30	or	or	CCONJ
gsjp-10033	28	31	combine	combine	VERB
gsjp-10033	28	32	or	or	CCONJ
gsjp-10033	28	33	combination	combination	VERB
gsjp-10033	28	34	or	or	CCONJ
gsjp-10033	28	35	combining	combine	VERB
gsjp-10033	28	36	or	or	CCONJ
gsjp-10033	28	37	combined	combine	VERB
gsjp-10033	28	38	or	or	CCONJ
gsjp-10033	28	39	mung	mung	NOUN
gsjp-10033	28	40	or	or	CCONJ
gsjp-10033	28	41	munging	munging	NOUN
gsjp-10033	28	42	or	or	CCONJ
gsjp-10033	28	43	munged	munge	VERB
gsjp-10033	28	44	or	or	CCONJ
gsjp-10033	28	45	concatenate	concatenate	VERB
gsjp-10033	28	46	or	or	CCONJ
gsjp-10033	28	47	concatenated	concatenate	VERB
gsjp-10033	28	48	or	or	CCONJ
gsjp-10033	28	49	concatenating	concatenating	NOUN
gsjp-10033	28	50	or	or	CCONJ
gsjp-10033	28	51	wrangle	wrangle	VERB
gsjp-10033	28	52	or	or	CCONJ
gsjp-10033	28	53	wrangled	wrangle	VERB
gsjp-10033	28	54	or	or	CCONJ
gsjp-10033	28	55	wrangling	wrangle	VERB
gsjp-10033	28	56	)	)	PUNCT
gsjp-10033	28	57	.	.	PUNCT
gsjp-10033	29	1	other	other	ADJ
gsjp-10033	29	2	combinations	combination	NOUN
gsjp-10033	29	3	of	of	ADP
gsjp-10033	29	4	these	these	DET
gsjp-10033	29	5	search	search	NOUN
gsjp-10033	29	6	terms	term	NOUN
gsjp-10033	29	7	were	be	AUX
gsjp-10033	29	8	also	also	ADV
gsjp-10033	29	9	used	use	VERB
gsjp-10033	29	10	(	(	PUNCT
gsjp-10033	29	11	e.g.	e.g.	ADV
gsjp-10033	29	12	,	,	PUNCT
gsjp-10033	29	13	data	datum	NOUN
gsjp-10033	29	14	wrangling	wrangling	NOUN
gsjp-10033	29	15	,	,	PUNCT
gsjp-10033	29	16	data	datum	NOUN
gsjp-10033	29	17	munging	munging	NOUN
gsjp-10033	29	18	,	,	PUNCT
gsjp-10033	29	19	merging	merge	VERB
gsjp-10033	29	20	datasets	dataset	NOUN
gsjp-10033	29	21	)	)	PUNCT
gsjp-10033	29	22	.	.	PUNCT
gsjp-10033	30	1	the	the	DET
gsjp-10033	30	2	results	result	NOUN
gsjp-10033	30	3	of	of	ADP
gsjp-10033	30	4	this	this	DET
gsjp-10033	30	5	search	search	NOUN
gsjp-10033	30	6	found	find	VERB
gsjp-10033	30	7	examples	example	NOUN
gsjp-10033	30	8	of	of	ADP
gsjp-10033	30	9	both	both	DET
gsjp-10033	30	10	peer	peer	NOUN
gsjp-10033	30	11	-	-	PUNCT
gsjp-10033	30	12	reviewed	review	VERB
gsjp-10033	30	13	articles	article	NOUN
gsjp-10033	30	14	and	and	CCONJ
gsjp-10033	30	15	books	book	NOUN
gsjp-10033	30	16	that	that	PRON
gsjp-10033	30	17	address	address	VERB
gsjp-10033	30	18	dataset	dataset	NOUN
gsjp-10033	30	19	merging	merging	NOUN
gsjp-10033	30	20	,	,	PUNCT
gsjp-10033	30	21	but	but	CCONJ
gsjp-10033	30	22	neither	neither	PRON
gsjp-10033	30	23	focused	focus	VERB
gsjp-10033	30	24	on	on	ADP
gsjp-10033	30	25	mismatched	mismatch	VERB
gsjp-10033	30	26	dataset	dataset	NOUN
gsjp-10033	30	27	merging	merging	NOUN
gsjp-10033	30	28	nor	nor	CCONJ
gsjp-10033	30	29	used	use	VERB
gsjp-10033	30	30	spss	spss	PROPN
gsjp-10033	30	31	for	for	ADP
gsjp-10033	30	32	this	this	DET
gsjp-10033	30	33	purpose	purpose	NOUN
gsjp-10033	30	34	.	.	PUNCT
gsjp-10033	31	1	previous	previous	ADJ
gsjp-10033	31	2	research	research	NOUN
gsjp-10033	31	3	literature	literature	NOUN
gsjp-10033	31	4	on	on	ADP
gsjp-10033	31	5	merging	merge	VERB
gsjp-10033	31	6	datasets	dataset	NOUN
gsjp-10033	31	7	for	for	ADP
gsjp-10033	31	8	analyses	analysis	NOUN
gsjp-10033	31	9	of	of	ADP
gsjp-10033	31	10	psychological	psychological	ADJ
gsjp-10033	31	11	data	datum	NOUN
gsjp-10033	31	12	primarily	primarily	ADV
gsjp-10033	31	13	used	use	VERB
gsjp-10033	31	14	the	the	DET
gsjp-10033	31	15	statistical	statistical	ADJ
gsjp-10033	31	16	analysis	analysis	NOUN
gsjp-10033	31	17	system	system	NOUN
gsjp-10033	31	18	(	(	PUNCT
gsjp-10033	31	19	sas	sas	PROPN
gsjp-10033	31	20	)	)	PUNCT
gsjp-10033	31	21	software	software	NOUN
gsjp-10033	31	22	(	(	PUNCT
gsjp-10033	31	23	foley	foley	NOUN
gsjp-10033	31	24	,	,	PUNCT
gsjp-10033	31	25	1998	1998	NUM
gsjp-10033	31	26	;	;	PUNCT
gsjp-10033	31	27	foley	foley	PROPN
gsjp-10033	31	28	,	,	PUNCT
gsjp-10033	31	29	2005	2005	NUM
gsjp-10033	31	30	)	)	PUNCT
gsjp-10033	31	31	for	for	ADP
gsjp-10033	31	32	this	this	DET
gsjp-10033	31	33	process	process	NOUN
gsjp-10033	31	34	,	,	PUNCT
gsjp-10033	31	35	rather	rather	ADV
gsjp-10033	31	36	than	than	ADP
gsjp-10033	31	37	spss	spss	ADJ
gsjp-10033	31	38	.	.	PUNCT
gsjp-10033	32	1	parenthetically	parenthetically	ADV
gsjp-10033	32	2	,	,	PUNCT
gsjp-10033	32	3	research	research	NOUN
gsjp-10033	32	4	literature	literature	NOUN
gsjp-10033	32	5	reviewed	review	VERB
gsjp-10033	32	6	the	the	DET
gsjp-10033	32	7	steps	step	NOUN
gsjp-10033	32	8	ƞȅ	ƞȅ	NOUN
gsjp-10033	32	9	�	�	PROPN
gsjp-10033	32	10	ȅljƞƺǩǿ	ȅljƞƺǩǿ	NOUN
gsjp-10033	32	11	�	�	PROPN
gsjp-10033	32	12	ƺ	ƺ	NOUN
gsjp-10033	32	13	�	�	PROPN
gsjp-10033	32	14	ǿǔȗǡǔǐ	ǿǔȗǡǔǐ	PROPN
gsjp-10033	32	15	�	�	PROPN
gsjp-10033	32	16	ǐƺƞƺșǔƞ	ǐƺƞƺșǔƞ	PROPN
gsjp-10033	32	17	�	�	PROPN
gsjp-10033	32	18	λǩƞǧ	λǩƞǧ	PROPN
gsjp-10033	32	19	�	�	PROPN
gsjp-10033	32	20	ƞǧǔ	ƞǧǔ	PROPN
gsjp-10033	32	21	�	�	PROPN
gsjp-10033	32	22	șȓǔljǩйlj	șȓǔljǩйlj	PROPN
gsjp-10033	32	23	�	�	PROPN
gsjp-10033	32	24	κƺȗǩƺljǹǔș	κƺȗǩƺljǹǔș	NOUN
gsjp-10033	32	25	�	�	PROPN
gsjp-10033	32	26	and	and	CCONJ
gsjp-10033	32	27	cases	case	NOUN
gsjp-10033	32	28	of	of	ADP
gsjp-10033	32	29	interest	interest	NOUN
gsjp-10033	32	30	.	.	PUNCT
gsjp-10033	33	1	again	again	ADV
gsjp-10033	33	2	,	,	PUNCT
gsjp-10033	33	3	however	however	ADV
gsjp-10033	33	4	,	,	PUNCT
gsjp-10033	33	5	no	no	DET
gsjp-10033	33	6	mention	mention	NOUN
gsjp-10033	33	7	was	be	AUX
gsjp-10033	33	8	made	make	VERB
gsjp-10033	33	9	of	of	ADP
gsjp-10033	33	10	merging	merge	VERB
gsjp-10033	33	11	mismatched	mismatched	ADJ
gsjp-10033	33	12	or	or	CCONJ
gsjp-10033	33	13	divergent	divergent	ADJ
gsjp-10033	33	14	datasets	dataset	NOUN
gsjp-10033	33	15	.	.	PUNCT
gsjp-10033	34	1	scholarly	scholarly	ADJ
gsjp-10033	34	2	works	work	NOUN
gsjp-10033	34	3	and	and	CCONJ
gsjp-10033	34	4	textbooks	textbook	NOUN
gsjp-10033	34	5	were	be	AUX
gsjp-10033	34	6	reviewed	review	VERB
gsjp-10033	34	7	to	to	PART
gsjp-10033	34	8	identify	identify	VERB
gsjp-10033	34	9	potentially	potentially	ADV
gsjp-10033	34	10	helpful	helpful	ADJ
gsjp-10033	34	11	instruction	instruction	NOUN
gsjp-10033	34	12	in	in	ADP
gsjp-10033	34	13	this	this	DET
gsjp-10033	34	14	area	area	NOUN
gsjp-10033	34	15	.	.	PUNCT
gsjp-10033	35	1	both	both	DET
gsjp-10033	35	2	works	work	VERB
gsjp-10033	35	3	that	that	PRON
gsjp-10033	35	4	did	do	AUX
gsjp-10033	35	5	focus	focus	VERB
gsjp-10033	35	6	on	on	ADP
gsjp-10033	35	7	the	the	DET
gsjp-10033	35	8	use	use	NOUN
gsjp-10033	35	9	of	of	ADP
gsjp-10033	35	10	spss	spss	PROPN
gsjp-10033	35	11	and	and	CCONJ
gsjp-10033	35	12	works	work	NOUN
gsjp-10033	35	13	that	that	PRON
gsjp-10033	35	14	did	do	AUX
gsjp-10033	35	15	not	not	PART
gsjp-10033	35	16	specify	specify	VERB
gsjp-10033	35	17	which	which	DET
gsjp-10033	35	18	program	program	NOUN
gsjp-10033	35	19	they	they	PRON
gsjp-10033	35	20	recommended	recommend	VERB
gsjp-10033	35	21	using	using	AUX
gsjp-10033	35	22	covered	cover	VERB
gsjp-10033	35	23	only	only	ADV
gsjp-10033	35	24	basic	basic	ADJ
gsjp-10033	35	25	dataset	dataset	NOUN
gsjp-10033	35	26	merging	merging	NOUN
gsjp-10033	35	27	practices	practice	NOUN
gsjp-10033	35	28	.	.	PUNCT
gsjp-10033	36	1	these	these	DET
gsjp-10033	36	2	sources	source	NOUN
gsjp-10033	36	3	either	either	CCONJ
gsjp-10033	36	4	did	do	AUX
gsjp-10033	36	5	not	not	PART
gsjp-10033	36	6	provide	provide	VERB
gsjp-10033	36	7	information	information	NOUN
gsjp-10033	36	8	on	on	ADP
gsjp-10033	36	9	ƞǧǔ	ƞǧǔ	PROPN
gsjp-10033	36	10	�	�	PROPN
gsjp-10033	36	11	ǐǩгljȣǹƞǩǔș	ǐǩгljȣǹƞǩǔș	PROPN
gsjp-10033	36	12	�	�	PROPN
gsjp-10033	36	13	ǹǩƿǔǹρ	ǹǩƿǔǹρ	PROPN
gsjp-10033	36	14	�	�	PROPN
gsjp-10033	36	15	ƞȅ	ƞȅ	PROPN
gsjp-10033	36	16	�	�	PROPN
gsjp-10033	36	17	ljǔ	ljǔ	PROPN
gsjp-10033	36	18	�	�	PROPN
gsjp-10033	36	19	ǔǿljȅȣǿƞǔȗǔǐ	ǔǿljȅȣǿƞǔȗǔǐ	X
gsjp-10033	36	20	�	�	PROPN
gsjp-10033	36	21	ǩǿ	ǩǿ	NOUN
gsjp-10033	36	22	�	�	PROPN
gsjp-10033	36	23	ǿǔȗǡǩǿǡ	ǿǔȗǡǩǿǡ	PROPN
gsjp-10033	36	24	�	�	PROPN
gsjp-10033	36	25	mismatched	mismatch	VERB
gsjp-10033	36	26	or	or	CCONJ
gsjp-10033	36	27	divergent	divergent	ADJ
gsjp-10033	36	28	datasets	dataset	NOUN
gsjp-10033	36	29	(	(	PUNCT
gsjp-10033	36	30	stehlik	stehlik	PROPN
gsjp-10033	36	31	-	-	PUNCT
gsjp-10033	36	32	barry	barry	PROPN
gsjp-10033	36	33	&	&	CCONJ
gsjp-10033	36	34	babinex	babinex	ADJ
gsjp-10033	36	35	,	,	PUNCT
gsjp-10033	36	36	2017	2017	NUM
gsjp-10033	36	37	)	)	PUNCT
gsjp-10033	36	38	or	or	CCONJ
gsjp-10033	36	39	they	they	PRON
gsjp-10033	36	40	only	only	ADV
gsjp-10033	36	41	emphasized	emphasize	VERB
gsjp-10033	36	42	the	the	DET
gsjp-10033	36	43	importance	importance	NOUN
gsjp-10033	36	44	of	of	ADP
gsjp-10033	36	45	considering	consider	VERB
gsjp-10033	36	46	these	these	DET
gsjp-10033	36	47	challenges	challenge	NOUN
gsjp-10033	36	48	without	without	ADP
gsjp-10033	36	49	providing	provide	VERB
gsjp-10033	36	50	guidance	guidance	NOUN
gsjp-10033	36	51	or	or	CCONJ
gsjp-10033	36	52	details	detail	NOUN
gsjp-10033	36	53	on	on	ADP
gsjp-10033	36	54	its	its	PRON
gsjp-10033	36	55	technicalities	technicality	NOUN
gsjp-10033	36	56	(	(	PUNCT
gsjp-10033	36	57	braun	braun	PROPN
gsjp-10033	36	58	et	et	PROPN
gsjp-10033	36	59	al	al	PROPN
gsjp-10033	36	60	.	.	PROPN
gsjp-10033	36	61	,	,	PUNCT
gsjp-10033	36	62	2018	2018	NUM
gsjp-10033	36	63	;	;	PUNCT
gsjp-10033	36	64	endel	endel	PROPN
gsjp-10033	36	65	&	&	CCONJ
gsjp-10033	36	66	pringer	pringer	PROPN
gsjp-10033	36	67	,	,	PUNCT
gsjp-10033	36	68	2015	2015	NUM
gsjp-10033	36	69	;	;	PUNCT
gsjp-10033	36	70	rattenbury	rattenbury	NOUN
gsjp-10033	36	71	et	et	PROPN
gsjp-10033	36	72	al	al	PROPN
gsjp-10033	36	73	.	.	PROPN
gsjp-10033	36	74	,	,	PUNCT
gsjp-10033	36	75	2017	2017	NUM
gsjp-10033	36	76	)	)	PUNCT
gsjp-10033	36	77	.	.	PUNCT
gsjp-10033	37	1	guides	guide	NOUN
gsjp-10033	37	2	on	on	ADP
gsjp-10033	37	3	merging	merge	VERB
gsjp-10033	37	4	datasets	dataset	NOUN
gsjp-10033	37	5	for	for	ADP
gsjp-10033	37	6	non	non	ADJ
gsjp-10033	37	7	-	-	ADJ
gsjp-10033	37	8	psychological	psychological	ADJ
gsjp-10033	37	9	research	research	NOUN
gsjp-10033	37	10	purposes	purpose	NOUN
gsjp-10033	37	11	have	have	AUX
gsjp-10033	37	12	also	also	ADV
gsjp-10033	37	13	not	not	PART
gsjp-10033	37	14	focused	focus	VERB
gsjp-10033	37	15	on	on	ADP
gsjp-10033	37	16	spss	spss	PROPN
gsjp-10033	37	17	,	,	PUNCT
gsjp-10033	37	18	but	but	CCONJ
gsjp-10033	37	19	rather	rather	ADV
gsjp-10033	37	20	on	on	ADP
gsjp-10033	37	21	software	software	NOUN
gsjp-10033	37	22	programs	program	NOUN
gsjp-10033	37	23	such	such	ADJ
gsjp-10033	37	24	as	as	ADP
gsjp-10033	37	25	r	r	NOUN
gsjp-10033	37	26	and	and	CCONJ
gsjp-10033	37	27	python	python	NOUN
gsjp-10033	37	28	(	(	PUNCT
gsjp-10033	37	29	ojeda	ojeda	PROPN
gsjp-10033	37	30	et	et	PROPN
gsjp-10033	37	31	al	al	PROPN
gsjp-10033	37	32	.	.	PROPN
gsjp-10033	37	33	,	,	PUNCT
gsjp-10033	37	34	2014	2014	NUM
gsjp-10033	37	35	)	)	PUNCT
gsjp-10033	37	36	.	.	PUNCT
gsjp-10033	38	1	there	there	PRON
gsjp-10033	38	2	does	do	AUX
gsjp-10033	38	3	,	,	PUNCT
gsjp-10033	38	4	however	however	ADV
gsjp-10033	38	5	,	,	PUNCT
gsjp-10033	38	6	appear	appear	VERB
gsjp-10033	38	7	to	to	PART
gsjp-10033	38	8	be	be	AUX
gsjp-10033	38	9	plenty	plenty	NOUN
gsjp-10033	38	10	of	of	ADP
gsjp-10033	38	11	gray	gray	ADJ
gsjp-10033	38	12	literature	literature	NOUN
gsjp-10033	38	13	(	(	PUNCT
gsjp-10033	38	14	articles	article	NOUN
gsjp-10033	38	15	not	not	PART
gsjp-10033	38	16	formally	formally	ADV
gsjp-10033	38	17	published	publish	VERB
gsjp-10033	38	18	by	by	ADP
gsjp-10033	38	19	commercial	commercial	ADJ
gsjp-10033	38	20	academic	academic	ADJ
gsjp-10033	38	21	publishers	publisher	NOUN
gsjp-10033	38	22	)	)	PUNCT
gsjp-10033	38	23	surrounding	surround	VERB
gsjp-10033	38	24	this	this	DET
gsjp-10033	38	25	topic	topic	NOUN
gsjp-10033	38	26	in	in	ADP
gsjp-10033	38	27	spss	spss	PROPN
gsjp-10033	38	28	(	(	PUNCT
gsjp-10033	38	29	haddaway	haddaway	PROPN
gsjp-10033	38	30	et	et	PROPN
gsjp-10033	38	31	al	al	PROPN
gsjp-10033	38	32	.	.	PROPN
gsjp-10033	38	33	,	,	PUNCT
gsjp-10033	38	34	2015	2015	NUM
gsjp-10033	38	35	,	,	PUNCT
gsjp-10033	38	36	p.	p.	NOUN
gsjp-10033	38	37	1	1	NUM
gsjp-10033	38	38	)	)	PUNCT
gsjp-10033	38	39	.	.	PUNCT
gsjp-10033	39	1	examples	example	NOUN
gsjp-10033	39	2	of	of	ADP
gsjp-10033	39	3	this	this	DET
gsjp-10033	39	4	gray	gray	ADJ
gsjp-10033	39	5	literature	literature	NOUN
gsjp-10033	39	6	include	include	VERB
gsjp-10033	39	7	1	1	NUM
gsjp-10033	39	8	)	)	PUNCT
gsjp-10033	39	9	websites	website	NOUN
gsjp-10033	39	10	that	that	SCONJ
gsjp-10033	39	11	host	host	NOUN
gsjp-10033	39	12	questions	question	NOUN
gsjp-10033	39	13	,	,	PUNCT
gsjp-10033	39	14	discussions	discussion	NOUN
gsjp-10033	39	15	,	,	PUNCT
gsjp-10033	39	16	and	and	CCONJ
gsjp-10033	39	17	video	video	NOUN
gsjp-10033	39	18	tutorials	tutorial	NOUN
gsjp-10033	39	19	related	relate	VERB
gsjp-10033	39	20	to	to	ADP
gsjp-10033	39	21	the	the	DET
gsjp-10033	39	22	common	common	ADJ
gsjp-10033	39	23	practices	practice	NOUN
gsjp-10033	39	24	for	for	ADP
gsjp-10033	39	25	merging	merge	VERB
gsjp-10033	39	26	datasets	dataset	NOUN
gsjp-10033	39	27	(	(	PUNCT
gsjp-10033	39	28	coyer	coyer	NOUN
gsjp-10033	39	29	,	,	PUNCT
gsjp-10033	39	30	2013	2013	NUM
gsjp-10033	39	31	;	;	PUNCT
gsjp-10033	39	32	truong	truong	PROPN
gsjp-10033	39	33	,	,	PUNCT
gsjp-10033	39	34	2016	2016	NUM
gsjp-10033	39	35	)	)	PUNCT
gsjp-10033	39	36	,	,	PUNCT
gsjp-10033	39	37	2	2	X
gsjp-10033	39	38	)	)	PUNCT
gsjp-10033	39	39	academic	academic	ADJ
gsjp-10033	39	40	websites	website	NOUN
gsjp-10033	39	41	with	with	ADP
gsjp-10033	39	42	instructions	instruction	NOUN
gsjp-10033	39	43	(	(	PUNCT
gsjp-10033	39	44	coleman	coleman	PROPN
gsjp-10033	39	45	,	,	PUNCT
gsjp-10033	39	46	n.d	n.d	PROPN
gsjp-10033	39	47	.	.	PROPN
gsjp-10033	39	48	;	;	PUNCT
gsjp-10033	39	49	glynn	glynn	PROPN
gsjp-10033	39	50	,	,	PUNCT
gsjp-10033	39	51	2002	2002	NUM
gsjp-10033	39	52	)	)	PUNCT
gsjp-10033	39	53	,	,	PUNCT
gsjp-10033	39	54	3	3	X
gsjp-10033	39	55	)	)	PUNCT
gsjp-10033	39	56	basic	basic	ADJ
gsjp-10033	39	57	commands	command	NOUN
gsjp-10033	39	58	given	give	VERB
gsjp-10033	39	59	by	by	ADP
gsjp-10033	39	60	international	international	ADJ
gsjp-10033	39	61	business	business	NOUN
gsjp-10033	39	62	machine	machine	NOUN
gsjp-10033	39	63	(	(	PUNCT
gsjp-10033	39	64	ibm	ibm	PROPN
gsjp-10033	39	65	;	;	PUNCT
gsjp-10033	39	66	ibm	ibm	PROPN
gsjp-10033	39	67	,	,	PUNCT
gsjp-10033	39	68	n.d	n.d	PROPN
gsjp-10033	39	69	.	.	PROPN
gsjp-10033	39	70	)	)	PUNCT
gsjp-10033	39	71	;	;	PUNCT
gsjp-10033	39	72	and	and	CCONJ
gsjp-10033	39	73	4	4	X
gsjp-10033	39	74	)	)	PUNCT
gsjp-10033	39	75	other	other	ADJ
gsjp-10033	39	76	spss	spss	PROPN
gsjp-10033	39	77	tutorial	tutorial	NOUN
gsjp-10033	39	78	websites	website	NOUN
gsjp-10033	39	79	(	(	PUNCT
gsjp-10033	39	80	spss-tutorials.com	spss-tutorials.com	X
gsjp-10033	39	81	,	,	PUNCT
gsjp-10033	39	82	n.d	n.d	PROPN
gsjp-10033	39	83	.	.	PROPN
gsjp-10033	39	84	)	)	PUNCT
gsjp-10033	39	85	.	.	PUNCT
gsjp-10033	40	1	however	however	ADV
gsjp-10033	40	2	,	,	PUNCT
gsjp-10033	40	3	most	most	ADJ
gsjp-10033	40	4	of	of	ADP
gsjp-10033	40	5	the	the	DET
gsjp-10033	40	6	gray	gray	ADJ
gsjp-10033	40	7	literature	literature	NOUN
gsjp-10033	40	8	provides	provide	VERB
gsjp-10033	40	9	limited	limited	ADJ
gsjp-10033	40	10	basic	basic	ADJ
gsjp-10033	40	11	commands	command	NOUN
gsjp-10033	40	12	such	such	ADJ
gsjp-10033	40	13	as	as	ADP
gsjp-10033	40	14	merge	merge	NOUN
gsjp-10033	40	15	datasets	dataset	NOUN
gsjp-10033	40	16	or	or	CCONJ
gsjp-10033	40	17	compare	compare	VERB
gsjp-10033	40	18	datasets	dataset	NOUN
gsjp-10033	40	19	,	,	PUNCT
gsjp-10033	40	20	which	which	PRON
gsjp-10033	40	21	do	do	AUX
gsjp-10033	40	22	not	not	PART
gsjp-10033	40	23	adequately	adequately	ADV
gsjp-10033	40	24	ƺǐǐȗǔșș	ƺǐǐȗǔșș	VERB
gsjp-10033	40	25	�	�	PROPN
gsjp-10033	40	26	șȓǔljǩйlj	șȓǔljǩйlj	PROPN
gsjp-10033	40	27	�	�	PROPN
gsjp-10033	40	28	ǐǩκǔȗǡǔǿƞ	ǐǩκǔȗǡǔǿƞ	PROPN
gsjp-10033	40	29	�	�	PROPN
gsjp-10033	40	30	ȅȗ	ȅȗ	NOUN
gsjp-10033	40	31	�	�	PROPN
gsjp-10033	40	32	ǿǩșǿƺƞljǧǔǐ	ǿǩșǿƺƞljǧǔǐ	PROPN
gsjp-10033	40	33	�	�	PROPN
gsjp-10033	40	34	ǐƺƞƺșǔƞ	ǐƺƞƺșǔƞ	NOUN
gsjp-10033	40	35	�	�	PROPN
gsjp-10033	40	36	ǿǔȗǡing	ǿǔȗǡe	VERB
gsjp-10033	40	37	issues	issue	NOUN
gsjp-10033	40	38	encountered	encounter	VERB
gsjp-10033	40	39	by	by	ADP
gsjp-10033	40	40	researchers	researcher	NOUN
gsjp-10033	40	41	.	.	PUNCT
gsjp-10033	41	1	dataset	dataset	ADJ
gsjp-10033	41	2	merging	merging	NOUN
gsjp-10033	41	3	methods	method	NOUN
gsjp-10033	41	4	requirements	requirement	NOUN
gsjp-10033	41	5	to	to	PART
gsjp-10033	41	6	address	address	VERB
gsjp-10033	41	7	the	the	DET
gsjp-10033	41	8	above	above	ADV
gsjp-10033	41	9	-	-	PUNCT
gsjp-10033	41	10	mentioned	mention	VERB
gsjp-10033	41	11	issues	issue	NOUN
gsjp-10033	41	12	,	,	PUNCT
gsjp-10033	41	13	the	the	DET
gsjp-10033	41	14	extant	extant	ADJ
gsjp-10033	41	15	litǔȗƺƞȣȗǔ	litǔȗƺƞȣȗǔ	PROPN
gsjp-10033	41	16	�	�	PROPN
gsjp-10033	41	17	ȓȗǔκǩȅȣșǹρ	ȓȗǔκǩȅȣșǹρ	PROPN
gsjp-10033	41	18	�	�	PROPN
gsjp-10033	41	19	ǩǐǔǿƞǩйǔǐ	ǩǐǔǿƞǩйǔǐ	PROPN
gsjp-10033	41	20	�	�	PROPN
gsjp-10033	41	21	λƺș	λƺș	PROPN
gsjp-10033	41	22	�	�	PROPN
gsjp-10033	41	23	ȗǔκǩǔλǔǐ	ȗǔκǩǔλǔǐ	PROPN
gsjp-10033	41	24	�	�	PROPN
gsjp-10033	41	25	ƞȅ	ƞȅ	PROPN
gsjp-10033	41	26	�	�	PROPN
gsjp-10033	41	27	șȣȗǟƺljǔ	șȣȗǟƺljǔ	PROPN
gsjp-10033	41	28	�	�	PROPN
gsjp-10033	41	29	existing	exist	VERB
gsjp-10033	41	30	guidelines	guideline	NOUN
gsjp-10033	41	31	and/or	and/or	CCONJ
gsjp-10033	41	32	requirements	requirement	NOUN
gsjp-10033	41	33	.	.	PUNCT
gsjp-10033	42	1	this	this	DET
gsjp-10033	42	2	type	type	NOUN
gsjp-10033	42	3	of	of	ADP
gsjp-10033	42	4	information	information	NOUN
gsjp-10033	42	5	was	be	AUX
gsjp-10033	42	6	found	find	VERB
gsjp-10033	42	7	primarily	primarily	ADV
gsjp-10033	42	8	in	in	ADP
gsjp-10033	42	9	the	the	DET
gsjp-10033	42	10	gray	gray	ADJ
gsjp-10033	42	11	literature	literature	NOUN
gsjp-10033	42	12	(	(	PUNCT
gsjp-10033	42	13	e.g.	e.g.	ADV
gsjp-10033	42	14	,	,	PUNCT
gsjp-10033	42	15	coleman	coleman	PROPN
gsjp-10033	42	16	,	,	PUNCT
gsjp-10033	42	17	n.d	n.d	PROPN
gsjp-10033	42	18	.	.	PROPN
gsjp-10033	42	19	;	;	PUNCT
gsjp-10033	42	20	coyer	coyer	NOUN
gsjp-10033	42	21	,	,	PUNCT
gsjp-10033	42	22	2013	2013	NUM
gsjp-10033	42	23	;	;	PUNCT
gsjp-10033	42	24	decator	decator	NOUN
gsjp-10033	42	25	,	,	PUNCT
gsjp-10033	42	26	2015	2015	NUM
gsjp-10033	42	27	;	;	PUNCT
gsjp-10033	42	28	2	2	NUM
gsjp-10033	42	29	�	�	PROPN
gsjp-10033	42	30	eॹ	eॹ	PRON
gsjp-10033	42	31	�	�	PROPN
gsjp-10033	42	32	ǿঀǐঀআ	ǿঀǐঀআ	PROPN
gsjp-10033	42	33	�	�	PROPN
gsjp-10033	42	34	eȗȣȅǿǡॹ	eȗȣȅǿǡॹ	PROPN
gsjp-10033	42	35	�	�	PROPN
gsjp-10033	42	36	ǿঀǐঀষঀ	ǿঀǐঀষঀ	PROPN
gsjp-10033	42	37	�	�	PROPN
gsjp-10033	42	38	^ǩπ	^ǩπ	PROPN
gsjp-10033	42	39	�	�	PROPN
gsjp-10033	42	40	ȗǔȕȣǩȗǔǿǔǿƞș	ȗǔȕȣǩȗǔǿǔǿƞș	NOUN
gsjp-10033	42	41	�	�	PROPN
gsjp-10033	42	42	ȅǟ	ȅǟ	ADP
gsjp-10033	42	43	�	�	PROPN
gsjp-10033	42	44	ǔаǔljtive	ǔаǔljtive	ADJ
gsjp-10033	42	45	dataset	dataset	NOUN
gsjp-10033	42	46	merging	merging	NOUN
gsjp-10033	42	47	methods	method	NOUN
gsjp-10033	42	48	to	to	PART
gsjp-10033	42	49	ensure	ensure	VERB
gsjp-10033	42	50	the	the	DET
gsjp-10033	42	51	accuracy	accuracy	NOUN
gsjp-10033	42	52	ȅǟ	ȅǟ	PROPN
gsjp-10033	42	53	�	�	PROPN
gsjp-10033	42	54	ǐƺƞƺ	ǐƺƞƺ	PROPN
gsjp-10033	42	55	�	�	PROPN
gsjp-10033	42	56	λǔȗǔ	λǔȗǔ	NOUN
gsjp-10033	42	57	�	�	PROPN
gsjp-10033	42	58	ǩǐǔǿƞǩйǔǐ	ǩǐǔǿƞǩйǔǐ	PROPN
gsjp-10033	42	59	�	�	PROPN
gsjp-10033	42	60	ǟȗȅǿ	ǟȗȅǿ	PROPN
gsjp-10033	42	61	�	�	PROPN
gsjp-10033	42	62	ƞǧǩș	ƞǧǩș	PROPN
gsjp-10033	42	63	�	�	PROPN
gsjp-10033	42	64	ǹǩƞǔȗƺƞȣȗǔঀ	ǹǩƞǔȗƺƞȣȗǔঀ	PROPN
gsjp-10033	42	65	�	�	PROPN
gsjp-10033	42	66	eǧǔ	eǧǔ	PROPN
gsjp-10033	42	67	�	�	PROPN
gsjp-10033	42	68	йȗșƞ	йȗșƞ	VERB
gsjp-10033	42	69	�	�	PROPN
gsjp-10033	42	70	three	three	NUM
gsjp-10033	42	71	requirements	requirement	NOUN
gsjp-10033	42	72	are	be	AUX
gsjp-10033	42	73	basic	basic	ADJ
gsjp-10033	42	74	expectations	expectation	NOUN
gsjp-10033	42	75	of	of	ADP
gsjp-10033	42	76	any	any	DET
gsjp-10033	42	77	dataset	dataset	NOUN
gsjp-10033	42	78	merging	merging	NOUN
gsjp-10033	42	79	method	method	NOUN
gsjp-10033	42	80	(	(	PUNCT
gsjp-10033	42	81	coleman	coleman	PROPN
gsjp-10033	42	82	,	,	PUNCT
gsjp-10033	42	83	n.d	n.d	PROPN
gsjp-10033	42	84	.	.	PROPN
gsjp-10033	42	85	;	;	PUNCT
gsjp-10033	42	86	coyer	coyer	NOUN
gsjp-10033	42	87	,	,	PUNCT
gsjp-10033	42	88	2013	2013	NUM
gsjp-10033	42	89	)	)	PUNCT
gsjp-10033	42	90	.	.	PUNCT
gsjp-10033	43	1	the	the	DET
gsjp-10033	43	2	next	next	ADJ
gsjp-10033	43	3	three	three	NUM
gsjp-10033	43	4	requirements	requirement	NOUN
gsjp-10033	43	5	are	be	AUX
gsjp-10033	43	6	more	more	ADV
gsjp-10033	43	7	complex	complex	ADJ
gsjp-10033	43	8	and	and	CCONJ
gsjp-10033	43	9	are	be	AUX
gsjp-10033	43	10	șȓǔljǩйlj	șȓǔljǩйlj	PROPN
gsjp-10033	44	1	�	�	PROPN
gsjp-10033	44	2	ƞȅ	ƞȅ	NOUN
gsjp-10033	44	3	�	�	PROPN
gsjp-10033	44	4	ǿǔȗǡǩǿǡ	ǿǔȗǡǩǿǡ	PROPN
gsjp-10033	44	5	�	�	PROPN
gsjp-10033	44	6	ǐƺƞƺșǔƞș	ǐƺƞƺșǔƞș	PROPN
gsjp-10033	44	7	�	�	PROPN
gsjp-10033	44	8	ƞǧƺƞ	ƞǧƺƞ	PROPN
gsjp-10033	44	9	�	�	PROPN
gsjp-10033	44	10	ljȅǿƞƺǩǿ	ljȅǿƞƺǩǿ	NOUN
gsjp-10033	44	11	�	�	PROPN
gsjp-10033	44	12	ȅκǔȗǹƺȓȓǩǿǡ	ȅκǔȗǹƺȓȓǩǿǡ	NOUN
gsjp-10033	44	13	�	�	PROPN
gsjp-10033	44	14	variables	variable	NOUN
gsjp-10033	44	15	as	as	ADV
gsjp-10033	44	16	well	well	ADV
gsjp-10033	44	17	as	as	ADP
gsjp-10033	44	18	overlapping	overlap	VERB
gsjp-10033	44	19	cases	case	NOUN
gsjp-10033	44	20	,	,	PUNCT
gsjp-10033	44	21	and	and	CCONJ
gsjp-10033	44	22	whose	whose	DET
gsjp-10033	44	23	cases	case	NOUN
gsjp-10033	44	24	sometimes	sometimes	ADV
gsjp-10033	44	25	contain	contain	VERB
gsjp-10033	44	26	mismatched	mismatched	ADJ
gsjp-10033	44	27	data	datum	NOUN
gsjp-10033	44	28	(	(	PUNCT
gsjp-10033	44	29	decator	decator	NOUN
gsjp-10033	44	30	,	,	PUNCT
gsjp-10033	44	31	2015	2015	NUM
gsjp-10033	44	32	;	;	PUNCT
gsjp-10033	44	33	ibm	ibm	PROPN
gsjp-10033	44	34	,	,	PUNCT
gsjp-10033	44	35	n.d	n.d	PROPN
gsjp-10033	44	36	.	.	PROPN
gsjp-10033	44	37	;	;	PUNCT
gsjp-10033	44	38	truong	truong	PROPN
gsjp-10033	44	39	,	,	PUNCT
gsjp-10033	44	40	n.d	n.d	PROPN
gsjp-10033	44	41	.	.	PROPN
gsjp-10033	44	42	)	)	PUNCT
gsjp-10033	44	43	.	.	PUNCT
gsjp-10033	45	1	these	these	DET
gsjp-10033	45	2	six	six	NUM
gsjp-10033	45	3	requirements	requirement	NOUN
gsjp-10033	45	4	have	have	VERB
gsjp-10033	45	5	implications	implication	NOUN
gsjp-10033	45	6	for	for	ADP
gsjp-10033	45	7	the	the	DET
gsjp-10033	45	8	structure	structure	NOUN
gsjp-10033	45	9	and	and	CCONJ
gsjp-10033	45	10	variables	variable	NOUN
gsjp-10033	45	11	contained	contain	VERB
gsjp-10033	45	12	ǩǿ	ǩǿ	ADP
gsjp-10033	45	13	�	�	PROPN
gsjp-10033	45	14	ƞǧǔ	ƞǧǔ	NOUN
gsjp-10033	45	15	�	�	PROPN
gsjp-10033	45	16	йǿƺǹ	йǿƺǹ	PROPN
gsjp-10033	45	17	�	�	PROPN
gsjp-10033	45	18	ljȗǔƺƞǔǐ	ljȗǔƺƞǔǐ	VERB
gsjp-10033	45	19	�	�	PROPN
gsjp-10033	45	20	ǐƺƞƺljƺșǔॹ	ǐƺƞƺljƺșǔॹ	NOUN
gsjp-10033	45	21	�	�	PROPN
gsjp-10033	45	22	ƺș	ƺș	PROPN
gsjp-10033	45	23	�	�	PROPN
gsjp-10033	45	24	λǩǹǹ	λǩǹǹ	NOUN
gsjp-10033	45	25	�	�	PROPN
gsjp-10033	45	26	ljǔ	ljǔ	NOUN
gsjp-10033	45	27	�	�	PROPN
gsjp-10033	45	28	ǐǩșljȣșșǔǐ	ǐǩșljȣșșǔǐ	NOUN
gsjp-10033	45	29	�	�	PROPN
gsjp-10033	45	30	ljǔǹȅλঀ	ljǔǹȅλঀ	VERB
gsjp-10033	45	31	7	7	NUM
gsjp-10033	45	32	merging	merge	VERB
gsjp-10033	45	33	multiple	multiple	ADJ
gsjp-10033	45	34	and/or	and/or	CCONJ
gsjp-10033	45	35	divergent	divergent	ADJ
gsjp-10033	45	36	datasets	dataset	NOUN
gsjp-10033	45	37	in	in	ADP
gsjp-10033	45	38	spss	spss	PROPN
gsjp-10033	45	39	requirement	requirement	NOUN
gsjp-10033	45	40	1	1	NUM
gsjp-10033	45	41	:	:	PUNCT
gsjp-10033	45	42	include	include	VERB
gsjp-10033	45	43	all	all	DET
gsjp-10033	45	44	cases	case	NOUN
gsjp-10033	45	45	eǧǔ	eǧǔ	PROPN
gsjp-10033	45	46	�	�	PROPN
gsjp-10033	45	47	ǿǔȗǡǔǐ	ǿǔȗǡǔǐ	NOUN
gsjp-10033	45	48	�	�	PROPN
gsjp-10033	45	49	ǐƺƞƺljƺșǔ	ǐƺƞƺljƺșǔ	PROPN
gsjp-10033	45	50	�	�	PROPN
gsjp-10033	45	51	শйǿǩșǧǔǐ	শйǿǩșǧǔǐ	PROPN
gsjp-10033	45	52	�	�	PROPN
gsjp-10033	45	53	ȓȗȅǐȣljƞষ	ȓȗȅǐȣljƞষ	PROPN
gsjp-10033	45	54	�	�	PROPN
gsjp-10033	45	55	șǧȅȣǹǐ	șǧȅȣǹǐ	SYM
gsjp-10033	45	56	�	�	PROPN
gsjp-10033	45	57	ljȅǿtain	ljȅǿtain	NOUN
gsjp-10033	45	58	all	all	DET
gsjp-10033	45	59	the	the	DET
gsjp-10033	45	60	cases	case	NOUN
gsjp-10033	45	61	from	from	ADP
gsjp-10033	45	62	dataset	dataset	NOUN
gsjp-10033	45	63	1	1	NUM
gsjp-10033	45	64	and	and	CCONJ
gsjp-10033	45	65	all	all	DET
gsjp-10033	45	66	the	the	DET
gsjp-10033	45	67	cases	case	NOUN
gsjp-10033	45	68	from	from	ADP
gsjp-10033	45	69	dataset	dataset	NOUN
gsjp-10033	45	70	2	2	NUM
gsjp-10033	45	71	(	(	PUNCT
gsjp-10033	45	72	and	and	CCONJ
gsjp-10033	45	73	any	any	DET
gsjp-10033	45	74	additional	additional	ADJ
gsjp-10033	45	75	datasets	dataset	NOUN
gsjp-10033	45	76	)	)	PUNCT
gsjp-10033	45	77	.	.	PUNCT
gsjp-10033	46	1	the	the	DET
gsjp-10033	46	2	case	case	NOUN
gsjp-10033	46	3	data	datum	NOUN
gsjp-10033	46	4	from	from	ADP
gsjp-10033	46	5	each	each	DET
gsjp-10033	46	6	respective	respective	ADJ
gsjp-10033	46	7	dataset	dataset	NOUN
gsjp-10033	46	8	should	should	AUX
gsjp-10033	46	9	be	be	AUX
gsjp-10033	46	10	faithfully	faithfully	ADV
gsjp-10033	46	11	replicated	replicate	VERB
gsjp-10033	46	12	in	in	ADP
gsjp-10033	46	13	the	the	DET
gsjp-10033	46	14	merged	merge	VERB
gsjp-10033	46	15	database	database	NOUN
gsjp-10033	46	16	.	.	PUNCT
gsjp-10033	47	1	requirement	requirement	NOUN
gsjp-10033	47	2	2	2	NUM
gsjp-10033	47	3	:	:	PUNCT
gsjp-10033	47	4	include	include	VERB
gsjp-10033	47	5	all	all	DET
gsjp-10033	47	6	variables	variable	NOUN
gsjp-10033	47	7	the	the	DET
gsjp-10033	47	8	merged	merged	ADJ
gsjp-10033	47	9	database	database	NOUN
gsjp-10033	47	10	should	should	AUX
gsjp-10033	47	11	hold	hold	VERB
gsjp-10033	47	12	all	all	DET
gsjp-10033	47	13	the	the	DET
gsjp-10033	47	14	variables	variable	NOUN
gsjp-10033	47	15	present	present	ADJ
gsjp-10033	47	16	in	in	ADP
gsjp-10033	47	17	all	all	DET
gsjp-10033	47	18	datasets	dataset	NOUN
gsjp-10033	47	19	,	,	PUNCT
gsjp-10033	47	20	as	as	ADV
gsjp-10033	47	21	well	well	ADV
gsjp-10033	47	22	as	as	ADP
gsjp-10033	47	23	all	all	DET
gsjp-10033	47	24	variables	variable	NOUN
gsjp-10033	47	25	present	present	ADJ
gsjp-10033	47	26	in	in	ADP
gsjp-10033	47	27	only	only	ADV
gsjp-10033	47	28	one	one	NUM
gsjp-10033	47	29	of	of	ADP
gsjp-10033	47	30	the	the	DET
gsjp-10033	47	31	datasets	dataset	NOUN
gsjp-10033	47	32	.	.	PUNCT
gsjp-10033	48	1	the	the	DET
gsjp-10033	48	2	width	width	ADJ
gsjp-10033	48	3	,	,	PUNCT
gsjp-10033	48	4	number	number	NOUN
gsjp-10033	48	5	of	of	ADP
gsjp-10033	48	6	decǩǿƺǹ	decǩǿƺǹ	PROPN
gsjp-10033	48	7	�	�	PROPN
gsjp-10033	48	8	ȓǹƺljǔșॹ	ȓǹƺljǔșॹ	VERB
gsjp-10033	48	9	�	�	PROPN
gsjp-10033	48	10	ǹƺljǔǹșॹ	ǹƺljǔǹșॹ	PROPN
gsjp-10033	48	11	�	�	PROPN
gsjp-10033	48	12	κƺǹȣǔ	κƺǹȣǔ	PROPN
gsjp-10033	48	13	�	�	PROPN
gsjp-10033	48	14	ǹƺljǔǹșॹ	ǹƺljǔǹșॹ	PROPN
gsjp-10033	48	15	�	�	PROPN
gsjp-10033	48	16	ǿǩșșǩǿǡ	ǿǩșșǩǿǡ	ADJ
gsjp-10033	48	17	�	�	PROPN
gsjp-10033	48	18	șȓǔljǩйljƺƞǩȅǿॹ	șȓǔljǩйljƺƞǩȅǿॹ	PROPN
gsjp-10033	48	19	�	�	PROPN
gsjp-10033	48	20	ljȅǹȣǿǿ	ljȅǹȣǿǿ	PROPN
gsjp-10033	48	21	�	�	PROPN
gsjp-10033	48	22	λǩǐƞǧॹ	λǩǐƞǧॹ	PROPN
gsjp-10033	48	23	�	�	PROPN
gsjp-10033	48	24	ƺǹǩǡǿǿǔǿƞॹ	ƺǹǩǡǿǿǔǿƞॹ	PROPN
gsjp-10033	48	25	�	�	PROPN
gsjp-10033	48	26	ǿǔƺșȣȗǔ	ǿǔƺșȣȗǔ	PROPN
gsjp-10033	48	27	�	�	PROPN
gsjp-10033	48	28	șȓǔljǩйljƺƞǩȅǿॹ	șȓǔljǩйljƺƞǩȅǿॹ	PROPN
gsjp-10033	48	29	�	�	PROPN
gsjp-10033	48	30	ƺǿǐ	ƺǿǐ	PROPN
gsjp-10033	48	31	�	�	PROPN
gsjp-10033	48	32	role	role	NOUN
gsjp-10033	48	33	of	of	ADP
gsjp-10033	48	34	each	each	DET
gsjp-10033	48	35	variable	variable	NOUN
gsjp-10033	48	36	should	should	AUX
gsjp-10033	48	37	be	be	AUX
gsjp-10033	48	38	faithfully	faithfully	ADV
gsjp-10033	48	39	replicated	replicate	VERB
gsjp-10033	48	40	in	in	ADP
gsjp-10033	48	41	the	the	DET
gsjp-10033	48	42	merged	merge	VERB
gsjp-10033	48	43	database	database	NOUN
gsjp-10033	48	44	.	.	PUNCT
gsjp-10033	49	1	requirement	requirement	NOUN
gsjp-10033	49	2	3	3	NUM
gsjp-10033	49	3	:	:	PUNCT
gsjp-10033	49	4	variable	variable	ADJ
gsjp-10033	49	5	settings	setting	NOUN
gsjp-10033	49	6	fidelity	fidelity	VERB
gsjp-10033	49	7	the	the	DET
gsjp-10033	49	8	merging	merging	NOUN
gsjp-10033	49	9	method	method	NOUN
gsjp-10033	49	10	integrates	integrate	VERB
gsjp-10033	49	11	variables	variable	NOUN
gsjp-10033	49	12	without	without	ADP
gsjp-10033	49	13	changing	change	VERB
gsjp-10033	49	14	the	the	DET
gsjp-10033	49	15	variable	variable	NOUN
gsjp-10033	49	16	regardless	regardless	ADV
gsjp-10033	49	17	of	of	ADP
gsjp-10033	49	18	the	the	DET
gsjp-10033	49	19	type	type	NOUN
gsjp-10033	49	20	(	(	PUNCT
gsjp-10033	49	21	numeric	numeric	ADJ
gsjp-10033	49	22	,	,	PUNCT
gsjp-10033	49	23	string	string	NOUN
gsjp-10033	49	24	)	)	PUNCT
gsjp-10033	49	25	and	and	CCONJ
gsjp-10033	49	26	regardless	regardless	ADV
gsjp-10033	49	27	of	of	ADP
gsjp-10033	49	28	measure	measure	NOUN
gsjp-10033	49	29	(	(	PUNCT
gsjp-10033	49	30	scale	scale	NOUN
gsjp-10033	49	31	,	,	PUNCT
gsjp-10033	49	32	nominal	nominal	ADJ
gsjp-10033	49	33	,	,	PUNCT
gsjp-10033	49	34	ordinal	ordinal	ADJ
gsjp-10033	49	35	)	)	PUNCT
gsjp-10033	49	36	.	.	PUNCT
gsjp-10033	50	1	in	in	ADP
gsjp-10033	50	2	addition	addition	NOUN
gsjp-10033	50	3	to	to	ADP
gsjp-10033	50	4	the	the	DET
gsjp-10033	50	5	three	three	NUM
gsjp-10033	50	6	basic	basic	ADJ
gsjp-10033	50	7	requirements	requirement	NOUN
gsjp-10033	50	8	listed	list	VERB
gsjp-10033	50	9	above	above	ADP
gsjp-10033	50	10	(	(	PUNCT
gsjp-10033	50	11	coleman	coleman	PROPN
gsjp-10033	50	12	,	,	PUNCT
gsjp-10033	50	13	n.d	n.d	PROPN
gsjp-10033	50	14	.	.	PROPN
gsjp-10033	50	15	;	;	PUNCT
gsjp-10033	50	16	coyer	coyer	NOUN
gsjp-10033	50	17	,	,	PUNCT
gsjp-10033	50	18	2013	2013	NUM
gsjp-10033	50	19	)	)	PUNCT
gsjp-10033	50	20	,	,	PUNCT
gsjp-10033	50	21	the	the	DET
gsjp-10033	50	22	merged	merged	ADJ
gsjp-10033	50	23	database	database	NOUN
gsjp-10033	50	24	should	should	AUX
gsjp-10033	50	25	provide	provide	VERB
gsjp-10033	50	26	researchers	researcher	NOUN
gsjp-10033	50	27	with	with	ADP
gsjp-10033	50	28	three	three	NUM
gsjp-10033	50	29	additional	additional	ADJ
gsjp-10033	50	30	pieces	piece	NOUN
gsjp-10033	50	31	of	of	ADP
gsjp-10033	50	32	information	information	NOUN
gsjp-10033	50	33	.	.	PUNCT
gsjp-10033	51	1	the	the	DET
gsjp-10033	51	2	following	follow	VERB
gsjp-10033	51	3	requirements	requirement	NOUN
gsjp-10033	51	4	are	be	AUX
gsjp-10033	51	5	more	more	ADV
gsjp-10033	51	6	complex	complex	ADJ
gsjp-10033	51	7	,	,	PUNCT
gsjp-10033	51	8	intending	intend	VERB
gsjp-10033	51	9	to	to	PART
gsjp-10033	51	10	assist	assist	VERB
gsjp-10033	51	11	researchers	researcher	NOUN
gsjp-10033	51	12	when	when	SCONJ
gsjp-10033	51	13	the	the	DET
gsjp-10033	51	14	datasets	dataset	NOUN
gsjp-10033	51	15	to	to	PART
gsjp-10033	51	16	be	be	AUX
gsjp-10033	51	17	merged	merge	VERB
gsjp-10033	51	18	are	be	AUX
gsjp-10033	51	19	suspected	suspect	VERB
gsjp-10033	51	20	of	of	ADP
gsjp-10033	51	21	containing	contain	VERB
gsjp-10033	51	22	unique	unique	ADJ
gsjp-10033	51	23	,	,	PUNCT
gsjp-10033	51	24	overlapping	overlap	VERB
gsjp-10033	51	25	,	,	PUNCT
gsjp-10033	51	26	or	or	CCONJ
gsjp-10033	51	27	mismatched	mismatched	ADJ
gsjp-10033	51	28	cases	case	NOUN
gsjp-10033	51	29	,	,	PUNCT
gsjp-10033	51	30	all	all	PRON
gsjp-10033	51	31	of	of	ADP
gsjp-10033	51	32	which	which	PRON
gsjp-10033	51	33	șǧȅȣǹǐ	șǧȅȣǹǐ	ADV
gsjp-10033	51	34	�	�	NOUN
gsjp-10033	51	35	ljǔ	ljǔ	NOUN
gsjp-10033	51	36	�	�	PROPN
gsjp-10033	51	37	ǩǿljǹȣǐǔǐ	ǩǿljǹȣǐǔǐ	NOUN
gsjp-10033	51	38	�	�	PROPN
gsjp-10033	51	39	ǩǿ	ǩǿ	PROPN
gsjp-10033	51	40	�	�	PROPN
gsjp-10033	51	41	ƞǧǔ	ƞǧǔ	NOUN
gsjp-10033	51	42	�	�	PROPN
gsjp-10033	51	43	йǿƺǹ	йǿƺǹ	NOUN
gsjp-10033	51	44	�	�	PROPN
gsjp-10033	51	45	ǐƺƞƺljƺșǔঀ	ǐƺƞƺljƺșǔঀ	NOUN
gsjp-10033	51	46	�	�	PROPN
gsjp-10033	51	47	requirement	requirement	NOUN
gsjp-10033	51	48	4	4	NUM
gsjp-10033	51	49	:	:	PUNCT
gsjp-10033	51	50	indication	indication	NOUN
gsjp-10033	51	51	of	of	ADP
gsjp-10033	51	52	unique	unique	ADJ
gsjp-10033	51	53	cases	case	NOUN
gsjp-10033	51	54	by	by	ADP
gsjp-10033	51	55	dataset	dataset	NOUN
gsjp-10033	51	56	a	a	DET
gsjp-10033	51	57	merged	merged	ADJ
gsjp-10033	51	58	database	database	NOUN
gsjp-10033	51	59	should	should	AUX
gsjp-10033	51	60	provide	provide	VERB
gsjp-10033	51	61	information	information	NOUN
gsjp-10033	51	62	as	as	ADP
gsjp-10033	51	63	to	to	ADP
gsjp-10033	51	64	when	when	SCONJ
gsjp-10033	51	65	a	a	DET
gsjp-10033	51	66	case	case	NOUN
gsjp-10033	51	67	is	be	AUX
gsjp-10033	51	68	unique	unique	ADJ
gsjp-10033	51	69	to	to	PART
gsjp-10033	51	70	dataset	dataset	VERB
gsjp-10033	51	71	1	1	NUM
gsjp-10033	51	72	or	or	CCONJ
gsjp-10033	51	73	dataset	dataset	VERB
gsjp-10033	51	74	2	2	NUM
gsjp-10033	51	75	(	(	PUNCT
gsjp-10033	51	76	rather	rather	ADV
gsjp-10033	51	77	than	than	ADP
gsjp-10033	51	78	being	be	AUX
gsjp-10033	51	79	present	present	ADJ
gsjp-10033	51	80	in	in	ADP
gsjp-10033	51	81	both	both	DET
gsjp-10033	51	82	original	original	ADJ
gsjp-10033	51	83	datasets	dataset	NOUN
gsjp-10033	51	84	)	)	PUNCT
gsjp-10033	51	85	,	,	PUNCT
gsjp-10033	51	86	and	and	CCONJ
gsjp-10033	51	87	which	which	PRON
gsjp-10033	51	88	dataset	dataset	VERB
gsjp-10033	51	89	it	it	PRON
gsjp-10033	51	90	originates	originate	VERB
gsjp-10033	51	91	from	from	ADP
gsjp-10033	51	92	.	.	PUNCT
gsjp-10033	52	1	for	for	ADP
gsjp-10033	52	2	example	example	NOUN
gsjp-10033	52	3	,	,	PUNCT
gsjp-10033	52	4	a	a	DET
gsjp-10033	52	5	merged	merge	VERB
gsjp-10033	52	6	dataset	dataset	NOUN
gsjp-10033	52	7	should	should	AUX
gsjp-10033	52	8	tell	tell	VERB
gsjp-10033	52	9	us	we	PRON
gsjp-10033	52	10	if	if	SCONJ
gsjp-10033	52	11	a	a	DET
gsjp-10033	52	12	case	case	NOUN
gsjp-10033	52	13	with	with	ADP
gsjp-10033	52	14	i	i	PROPN
gsjp-10033	52	15	d	d	PROPN
gsjp-10033	52	16	13	13	NUM
gsjp-10033	52	17	exists	exist	VERB
gsjp-10033	52	18	uniquely	uniquely	ADV
gsjp-10033	52	19	in	in	ADP
gsjp-10033	52	20	dataset	dataset	ADJ
gsjp-10033	52	21	1	1	NUM
gsjp-10033	52	22	or	or	CCONJ
gsjp-10033	52	23	dataset	dataset	VERB
gsjp-10033	52	24	2	2	NUM
gsjp-10033	52	25	.	.	PUNCT
gsjp-10033	52	26	requirement	requirement	NOUN
gsjp-10033	52	27	5	5	NUM
gsjp-10033	52	28	:	:	PUNCT
gsjp-10033	52	29	indication	indication	NOUN
gsjp-10033	52	30	of	of	ADP
gsjp-10033	52	31	overlapping	overlap	VERB
gsjp-10033	52	32	cases	case	NOUN
gsjp-10033	52	33	a	a	DET
gsjp-10033	52	34	merged	merged	ADJ
gsjp-10033	52	35	database	database	NOUN
gsjp-10033	52	36	should	should	AUX
gsjp-10033	52	37	indicate	indicate	VERB
gsjp-10033	52	38	when	when	SCONJ
gsjp-10033	52	39	a	a	DET
gsjp-10033	52	40	case	case	NOUN
gsjp-10033	52	41	in	in	ADP
gsjp-10033	52	42	dataset	dataset	NOUN
gsjp-10033	52	43	1	1	NUM
gsjp-10033	52	44	is	be	AUX
gsjp-10033	52	45	also	also	ADV
gsjp-10033	52	46	a	a	DET
gsjp-10033	52	47	case	case	NOUN
gsjp-10033	52	48	in	in	ADP
gsjp-10033	52	49	dataset	dataset	NOUN
gsjp-10033	52	50	2	2	NUM
gsjp-10033	52	51	.	.	PUNCT
gsjp-10033	53	1	for	for	ADP
gsjp-10033	53	2	example	example	NOUN
gsjp-10033	53	3	,	,	PUNCT
gsjp-10033	53	4	a	a	DET
gsjp-10033	53	5	merged	merge	VERB
gsjp-10033	53	6	database	database	NOUN
gsjp-10033	53	7	should	should	AUX
gsjp-10033	53	8	tell	tell	VERB
gsjp-10033	53	9	us	we	PRON
gsjp-10033	53	10	if	if	SCONJ
gsjp-10033	53	11	a	a	DET
gsjp-10033	53	12	case	case	NOUN
gsjp-10033	53	13	with	with	ADP
gsjp-10033	53	14	i	i	PROPN
gsjp-10033	53	15	d	d	PROPN
gsjp-10033	53	16	16	16	NUM
gsjp-10033	53	17	originated	originate	VERB
gsjp-10033	53	18	in	in	ADP
gsjp-10033	53	19	dataset	dataset	NOUN
gsjp-10033	53	20	1	1	NUM
gsjp-10033	53	21	and	and	CCONJ
gsjp-10033	53	22	whether	whether	SCONJ
gsjp-10033	53	23	it	it	PRON
gsjp-10033	53	24	also	also	ADV
gsjp-10033	53	25	exists	exist	VERB
gsjp-10033	53	26	in	in	ADP
gsjp-10033	53	27	dataset	dataset	NOUN
gsjp-10033	53	28	2	2	NUM
gsjp-10033	53	29	.	.	PUNCT
gsjp-10033	53	30	requirement	requirement	NOUN
gsjp-10033	53	31	6	6	NUM
gsjp-10033	53	32	:	:	PUNCT
gsjp-10033	53	33	indication	indication	NOUN
gsjp-10033	53	34	of	of	ADP
gsjp-10033	53	35	mismatched	mismatched	ADJ
gsjp-10033	53	36	data	datum	NOUN
gsjp-10033	53	37	by	by	ADP
gsjp-10033	53	38	case	case	NOUN
gsjp-10033	53	39	a	a	DET
gsjp-10033	53	40	merged	merge	VERB
gsjp-10033	53	41	database	database	NOUN
gsjp-10033	53	42	should	should	AUX
gsjp-10033	53	43	tell	tell	VERB
gsjp-10033	53	44	us	we	PRON
gsjp-10033	53	45	when	when	SCONJ
gsjp-10033	53	46	a	a	DET
gsjp-10033	53	47	case	case	NOUN
gsjp-10033	53	48	in	in	ADP
gsjp-10033	53	49	dataset	dataset	NOUN
gsjp-10033	53	50	1	1	NUM
gsjp-10033	53	51	and	and	CCONJ
gsjp-10033	53	52	a	a	DET
gsjp-10033	53	53	case	case	NOUN
gsjp-10033	53	54	in	in	ADP
gsjp-10033	53	55	dataset	dataset	NOUN
gsjp-10033	53	56	2	2	NUM
gsjp-10033	53	57	have	have	VERB
gsjp-10033	53	58	a	a	DET
gsjp-10033	53	59	matching	match	VERB
gsjp-10033	53	60	i	i	PROPN
gsjp-10033	53	61	d	d	PROPN
gsjp-10033	53	62	but	but	CCONJ
gsjp-10033	53	63	contain	contain	VERB
gsjp-10033	53	64	mismatching	mismatch	VERB
gsjp-10033	53	65	data	datum	NOUN
gsjp-10033	53	66	while	while	SCONJ
gsjp-10033	53	67	retaining	retain	VERB
gsjp-10033	53	68	both	both	DET
gsjp-10033	53	69	instances	instance	NOUN
gsjp-10033	53	70	of	of	ADP
gsjp-10033	53	71	data	datum	NOUN
gsjp-10033	53	72	in	in	ADP
gsjp-10033	53	73	the	the	DET
gsjp-10033	53	74	merged	merge	VERB
gsjp-10033	53	75	database	database	NOUN
gsjp-10033	53	76	.	.	PUNCT
gsjp-10033	54	1	detecting	detect	VERB
gsjp-10033	54	2	mismatching	mismatch	VERB
gsjp-10033	54	3	data	datum	NOUN
gsjp-10033	54	4	is	be	AUX
gsjp-10033	54	5	a	a	DET
gsjp-10033	54	6	crucial	crucial	ADJ
gsjp-10033	54	7	requirement	requirement	NOUN
gsjp-10033	54	8	when	when	SCONJ
gsjp-10033	54	9	merging	merge	VERB
gsjp-10033	54	10	datasets	dataset	NOUN
gsjp-10033	54	11	whose	whose	DET
gsjp-10033	54	12	data	datum	NOUN
gsjp-10033	54	13	,	,	PUNCT
gsjp-10033	54	14	cases	case	NOUN
gsjp-10033	54	15	,	,	PUNCT
gsjp-10033	54	16	or	or	CCONJ
gsjp-10033	54	17	variables	variable	NOUN
gsjp-10033	54	18	do	do	AUX
gsjp-10033	54	19	not	not	PART
gsjp-10033	54	20	perfectly	perfectly	ADV
gsjp-10033	54	21	match	match	VERB
gsjp-10033	54	22	using	use	VERB
gsjp-10033	54	23	spss	spss	PROPN
gsjp-10033	54	24	.	.	PUNCT
gsjp-10033	55	1	for	for	ADP
gsjp-10033	55	2	example	example	NOUN
gsjp-10033	55	3	,	,	PUNCT
gsjp-10033	55	4	a	a	DET
gsjp-10033	55	5	merged	merge	VERB
gsjp-10033	55	6	database	database	NOUN
gsjp-10033	55	7	should	should	AUX
gsjp-10033	55	8	tell	tell	VERB
gsjp-10033	55	9	us	we	PRON
gsjp-10033	55	10	if	if	SCONJ
gsjp-10033	55	11	a	a	DET
gsjp-10033	55	12	case	case	NOUN
gsjp-10033	55	13	with	with	ADP
gsjp-10033	55	14	i	i	PROPN
gsjp-10033	55	15	d	d	PROPN
gsjp-10033	55	16	16	16	NUM
gsjp-10033	55	17	in	in	ADP
gsjp-10033	55	18	dataset	dataset	NOUN
gsjp-10033	55	19	1	1	NUM
gsjp-10033	55	20	has	have	VERB
gsjp-10033	55	21	“	"	PUNCT
gsjp-10033	55	22	brief	brief	ADJ
gsjp-10033	55	23	cognitive	cognitive	ADJ
gsjp-10033	55	24	behavioral	behavioral	ADJ
gsjp-10033	55	25	therapy	therapy	NOUN
gsjp-10033	55	26	”	"	PUNCT
gsjp-10033	55	27	entered	enter	VERB
gsjp-10033	55	28	for	for	ADP
gsjp-10033	55	29	the	the	DET
gsjp-10033	55	30	“	"	PUNCT
gsjp-10033	55	31	treatment	treatment	NOUN
gsjp-10033	55	32	”	"	PUNCT
gsjp-10033	55	33	variable	variable	NOUN
gsjp-10033	55	34	,	,	PUNCT
gsjp-10033	55	35	but	but	CCONJ
gsjp-10033	55	36	a	a	DET
gsjp-10033	55	37	case	case	NOUN
gsjp-10033	55	38	with	with	ADP
gsjp-10033	55	39	i	i	PROPN
gsjp-10033	55	40	d	d	PROPN
gsjp-10033	55	41	16	16	NUM
gsjp-10033	55	42	in	in	ADP
gsjp-10033	55	43	dataset	dataset	NOUN
gsjp-10033	55	44	2	2	NUM
gsjp-10033	55	45	has	have	VERB
gsjp-10033	55	46	“	"	PUNCT
gsjp-10033	55	47	brief	brief	ADJ
gsjp-10033	55	48	object	object	NOUN
gsjp-10033	55	49	relations	relation	NOUN
gsjp-10033	55	50	therapy	therapy	NOUN
gsjp-10033	55	51	”	"	PUNCT
gsjp-10033	55	52	entered	enter	VERB
gsjp-10033	55	53	for	for	ADP
gsjp-10033	55	54	the	the	DET
gsjp-10033	55	55	“	"	PUNCT
gsjp-10033	55	56	treatment	treatment	NOUN
gsjp-10033	55	57	”	"	PUNCT
gsjp-10033	55	58	variable	variable	NOUN
gsjp-10033	55	59	.	.	PUNCT
gsjp-10033	56	1	in	in	ADP
gsjp-10033	56	2	addition	addition	NOUN
gsjp-10033	56	3	,	,	PUNCT
gsjp-10033	56	4	both	both	DET
gsjp-10033	56	5	instances	instance	NOUN
gsjp-10033	56	6	of	of	ADP
gsjp-10033	56	7	data	datum	NOUN
gsjp-10033	56	8	should	should	AUX
gsjp-10033	56	9	be	be	AUX
gsjp-10033	56	10	preserved	preserve	VERB
gsjp-10033	56	11	within	within	ADP
gsjp-10033	56	12	the	the	DET
gsjp-10033	56	13	merged	merge	VERB
gsjp-10033	56	14	database	database	NOUN
gsjp-10033	56	15	.	.	PUNCT
gsjp-10033	57	1	for	for	ADP
gsjp-10033	57	2	example	example	NOUN
gsjp-10033	57	3	,	,	PUNCT
gsjp-10033	57	4	we	we	PRON
gsjp-10033	57	5	should	should	AUX
gsjp-10033	57	6	see	see	VERB
gsjp-10033	57	7	both	both	DET
gsjp-10033	57	8	forms	form	NOUN
gsjp-10033	57	9	of	of	ADP
gsjp-10033	57	10	cases	case	NOUN
gsjp-10033	57	11	with	with	ADP
gsjp-10033	57	12	i	i	PROPN
gsjp-10033	57	13	d	d	PROPN
gsjp-10033	57	14	16	16	NUM
gsjp-10033	57	15	in	in	ADP
gsjp-10033	57	16	the	the	DET
gsjp-10033	57	17	merged	merge	VERB
gsjp-10033	57	18	database	database	NOUN
gsjp-10033	57	19	,	,	PUNCT
gsjp-10033	57	20	one	one	NUM
gsjp-10033	57	21	with	with	ADP
gsjp-10033	57	22	“	"	PUNCT
gsjp-10033	57	23	brief	brief	ADJ
gsjp-10033	57	24	cognitive	cognitive	ADJ
gsjp-10033	57	25	behavioral	behavioral	ADJ
gsjp-10033	57	26	therapy	therapy	NOUN
gsjp-10033	57	27	”	"	PUNCT
gsjp-10033	57	28	and	and	CCONJ
gsjp-10033	57	29	one	one	NUM
gsjp-10033	57	30	with	with	ADP
gsjp-10033	57	31	“	"	PUNCT
gsjp-10033	57	32	brief	brief	ADJ
gsjp-10033	57	33	object	object	NOUN
gsjp-10033	57	34	relations	relation	NOUN
gsjp-10033	57	35	therapy	therapy	NOUN
gsjp-10033	57	36	”	"	PUNCT
gsjp-10033	57	37	entered	enter	VERB
gsjp-10033	57	38	for	for	ADP
gsjp-10033	57	39	“	"	PUNCT
gsjp-10033	57	40	treatment	treatment	NOUN
gsjp-10033	57	41	.	.	PUNCT
gsjp-10033	57	42	”	"	PUNCT
gsjp-10033	58	1	thus	thus	ADV
gsjp-10033	58	2	,	,	PUNCT
gsjp-10033	58	3	an	an	DET
gsjp-10033	58	4	indicator	indicator	NOUN
gsjp-10033	58	5	of	of	ADP
gsjp-10033	58	6	match	match	NOUN
gsjp-10033	58	7	/	/	SYM
gsjp-10033	58	8	mismatch	mismatch	NOUN
gsjp-10033	58	9	and	and	CCONJ
gsjp-10033	58	10	the	the	DET
gsjp-10033	58	11	retention	retention	NOUN
gsjp-10033	58	12	of	of	ADP
gsjp-10033	58	13	both	both	DET
gsjp-10033	58	14	instances	instance	NOUN
gsjp-10033	58	15	of	of	ADP
gsjp-10033	58	16	the	the	DET
gsjp-10033	58	17	data	datum	NOUN
gsjp-10033	58	18	should	should	AUX
gsjp-10033	58	19	appear	appear	VERB
gsjp-10033	58	20	in	in	ADP
gsjp-10033	58	21	the	the	DET
gsjp-10033	58	22	merged	merge	VERB
gsjp-10033	58	23	database	database	NOUN
gsjp-10033	58	24	.	.	PUNCT
gsjp-10033	59	1	to	to	PART
gsjp-10033	59	2	clarify	clarify	VERB
gsjp-10033	59	3	several	several	ADJ
gsjp-10033	59	4	of	of	ADP
gsjp-10033	59	5	the	the	DET
gsjp-10033	59	6	six	six	NUM
gsjp-10033	59	7	requirements	requirement	NOUN
gsjp-10033	59	8	(	(	PUNCT
gsjp-10033	59	9	discussed	discuss	VERB
gsjp-10033	59	10	above	above	ADV
gsjp-10033	59	11	)	)	PUNCT
gsjp-10033	59	12	should	should	AUX
gsjp-10033	59	13	be	be	AUX
gsjp-10033	59	14	represented	represent	VERB
gsjp-10033	59	15	by	by	ADP
gsjp-10033	59	16	one	one	NUM
gsjp-10033	59	17	or	or	CCONJ
gsjp-10033	59	18	more	more	ADJ
gsjp-10033	59	19	variables	variable	NOUN
gsjp-10033	59	20	within	within	ADP
gsjp-10033	59	21	the	the	DET
gsjp-10033	59	22	merged	merged	ADJ
gsjp-10033	59	23	dataset	dataset	NOUN
gsjp-10033	59	24	.	.	PUNCT
gsjp-10033	60	1	new	new	ADJ
gsjp-10033	60	2	variables	variable	NOUN
gsjp-10033	60	3	within	within	ADP
gsjp-10033	60	4	the	the	DET
gsjp-10033	60	5	dataset	dataset	NOUN
gsjp-10033	60	6	should	should	AUX
gsjp-10033	60	7	be	be	AUX
gsjp-10033	60	8	generated	generate	VERB
gsjp-10033	60	9	to	to	PART
gsjp-10033	60	10	represent	represent	VERB
gsjp-10033	60	11	at	at	ADV
gsjp-10033	60	12	least	least	ADV
gsjp-10033	60	13	one	one	NUM
gsjp-10033	60	14	,	,	PUNCT
gsjp-10033	60	15	if	if	SCONJ
gsjp-10033	60	16	not	not	PART
gsjp-10033	60	17	more	more	ADJ
gsjp-10033	60	18	,	,	PUNCT
gsjp-10033	60	19	of	of	ADP
gsjp-10033	60	20	the	the	DET
gsjp-10033	60	21	six	six	NUM
gsjp-10033	60	22	requirements	requirement	NOUN
gsjp-10033	60	23	.	.	PUNCT
gsjp-10033	61	1	each	each	PRON
gsjp-10033	61	2	of	of	ADP
gsjp-10033	61	3	the	the	DET
gsjp-10033	61	4	six	six	NUM
gsjp-10033	61	5	requirements	requirement	NOUN
gsjp-10033	61	6	should	should	AUX
gsjp-10033	61	7	be	be	AUX
gsjp-10033	61	8	encoded	encode	VERB
gsjp-10033	61	9	into	into	ADP
gsjp-10033	61	10	a	a	DET
gsjp-10033	61	11	variable	variable	ADJ
gsjp-10033	61	12	λǩƞǧǩǿ	λǩƞǧǩǿ	PROPN
gsjp-10033	61	13	�	�	PROPN
gsjp-10033	61	14	ƞǧǔ	ƞǧǔ	PROPN
gsjp-10033	61	15	�	�	PROPN
gsjp-10033	61	16	ǐƺƞƺșǔƞঀ	ǐƺƞƺșǔƞঀ	PROPN
gsjp-10033	61	17	�	�	PROPN
gsjp-10033	61	18	eǧǔ	eǧǔ	PROPN
gsjp-10033	61	19	�	�	PROPN
gsjp-10033	61	20	йǿƺǹ	йǿƺǹ	NOUN
gsjp-10033	61	21	�	�	PROPN
gsjp-10033	61	22	ǿǔȗǡǔǐ	ǿǔȗǡǔǐ	PROPN
gsjp-10033	61	23	�	�	PROPN
gsjp-10033	61	24	ǐƺƞƺșǔƞ	ǐƺƞƺșǔƞ	PROPN
gsjp-10033	61	25	�	�	PROPN
gsjp-10033	61	26	șǧȅȣǹǐ	șǧȅȣǹǐ	PROPN
gsjp-10033	61	27	�	�	PROPN
gsjp-10033	61	28	ǩǿljǹȣǐǔॹ	ǩǿljǹȣǐǔॹ	PROPN
gsjp-10033	61	29	�	�	PROPN
gsjp-10033	61	30	ǩǿ	ǩǿ	PROPN
gsjp-10033	61	31	�	�	PROPN
gsjp-10033	61	32	ƺ	ƺ	NOUN
gsjp-10033	61	33	�	�	PROPN
gsjp-10033	61	34	șȓǔljǩйlj	șȓǔljǩйlj	PROPN
gsjp-10033	61	35	�	�	PROPN
gsjp-10033	61	36	κƺȗǩƺljǹǔॹ	κƺȗǩƺljǹǔॹ	PROPN
gsjp-10033	61	37	�	�	PROPN
gsjp-10033	61	38	ƞǧǔ	ƞǧǔ	PROPN
gsjp-10033	61	39	�	�	PROPN
gsjp-10033	61	40	ǐƺƞƺșǔƞ	ǐƺƞƺșǔƞ	PROPN
gsjp-10033	61	41	�	�	PROPN
gsjp-10033	61	42	ǿƺǿǔ	ǿƺǿǔ	PROPN
gsjp-10033	61	43	�	�	PROPN
gsjp-10033	61	44	ǟȗȅǿ	ǟȗȅǿ	NOUN
gsjp-10033	61	45	�	�	PROPN
gsjp-10033	61	46	which	which	PRON
gsjp-10033	61	47	each	each	DET
gsjp-10033	61	48	case	case	NOUN
gsjp-10033	61	49	was	be	AUX
gsjp-10033	61	50	taken	take	VERB
gsjp-10033	61	51	.	.	PUNCT
gsjp-10033	62	1	this	this	PRON
gsjp-10033	62	2	must	must	AUX
gsjp-10033	62	3	be	be	AUX
gsjp-10033	62	4	a	a	DET
gsjp-10033	62	5	unique	unique	ADJ
gsjp-10033	62	6	variable	variable	NOUN
gsjp-10033	62	7	,	,	PUNCT
gsjp-10033	62	8	separate	separate	ADJ
gsjp-10033	62	9	from	from	ADP
gsjp-10033	62	10	the	the	DET
gsjp-10033	62	11	other	other	ADJ
gsjp-10033	62	12	variables	variable	NOUN
gsjp-10033	62	13	.	.	PUNCT
gsjp-10033	63	1	for	for	ADP
gsjp-10033	63	2	example	example	NOUN
gsjp-10033	63	3	,	,	PUNCT
gsjp-10033	63	4	for	for	ADP
gsjp-10033	63	5	one	one	NUM
gsjp-10033	63	6	of	of	ADP
gsjp-10033	63	7	the	the	DET
gsjp-10033	63	8	authors	author	NOUN
gsjp-10033	63	9	’	’	PART
gsjp-10033	63	10	research	research	NOUN
gsjp-10033	63	11	projects	project	NOUN
gsjp-10033	63	12	,	,	PUNCT
gsjp-10033	63	13	data	datum	NOUN
gsjp-10033	63	14	was	be	AUX
gsjp-10033	63	15	ǡƺƞǧǔȗǔǐ	ǡƺƞǧǔȗǔǐ	ADJ
gsjp-10033	63	16	�	�	PROPN
gsjp-10033	63	17	ǟȗȅǿ	ǟȗȅǿ	PROPN
gsjp-10033	63	18	�	�	PROPN
gsjp-10033	63	19	ƞǧȗǔǔ	ƞǧȗǔǔ	PROPN
gsjp-10033	63	20	�	�	PROPN
gsjp-10033	63	21	ǐǩаǔȗǔǿƞ	ǐǩаǔȗǔǿƞ	PROPN
gsjp-10033	63	22	�	�	PROPN
gsjp-10033	63	23	ǩǿșƞǩƞȣƞǩȅǿșঀ	ǩǿșƞǩƞȣƞǩȅǿșঀ	PROPN
gsjp-10033	63	24	�	�	PROPN
gsjp-10033	63	25	2ǿ	2ǿ	NUM
gsjp-10033	63	26	�	�	PROPN
gsjp-10033	63	27	ƞǧǩș	ƞǧǩș	PROPN
gsjp-10033	63	28	�	�	PROPN
gsjp-10033	63	29	ǩǿstance	ǩǿstance	NOUN
gsjp-10033	63	30	,	,	PUNCT
gsjp-10033	63	31	in	in	ADP
gsjp-10033	63	32	merging	merge	VERB
gsjp-10033	63	33	the	the	DET
gsjp-10033	63	34	data	datum	NOUN
gsjp-10033	63	35	a	a	DET
gsjp-10033	63	36	new	new	ADJ
gsjp-10033	63	37	variable	variable	NOUN
gsjp-10033	63	38	was	be	AUX
gsjp-10033	63	39	created	create	VERB
gsjp-10033	63	40	λǧǩljǧ	λǧǩljǧ	ADJ
gsjp-10033	63	41	�	�	PROPN
gsjp-10033	63	42	ǩǐǔǿƞǩйǔǐ	ǩǐǔǿƞǩйǔǐ	PROPN
gsjp-10033	63	43	�	�	PROPN
gsjp-10033	63	44	ƞǧǔ	ƞǧǔ	PROPN
gsjp-10033	63	45	�	�	PROPN
gsjp-10033	63	46	ǐƺƞƺșǔƞইǩǿșƞǩƞȣƞǩȅǿ	ǐƺƞƺșǔƞইǩǿșƞǩƞȣƞǩȅǿ	PROPN
gsjp-10033	63	47	�	�	PROPN
gsjp-10033	63	48	ȅǟ	ȅǟ	NOUN
gsjp-10033	63	49	�	�	PROPN
gsjp-10033	63	50	ȅȗǩǡǩǿঀ	ȅȗǩǡǩǿঀ	NOUN
gsjp-10033	63	51	�	�	PROPN
gsjp-10033	63	52	eǧǩș	eǧǩș	PROPN
gsjp-10033	63	53	�	�	PROPN
gsjp-10033	63	54	variable	variable	NOUN
gsjp-10033	63	55	,	,	PUNCT
gsjp-10033	63	56	included	include	VERB
gsjp-10033	63	57	in	in	ADP
gsjp-10033	63	58	the	the	DET
gsjp-10033	63	59	merged	merge	VERB
gsjp-10033	63	60	dataset	dataset	NOUN
gsjp-10033	63	61	,	,	PUNCT
gsjp-10033	63	62	provides	provide	VERB
gsjp-10033	63	63	information	information	NOUN
gsjp-10033	63	64	about	about	ADP
gsjp-10033	63	65	the	the	DET
gsjp-10033	63	66	origin	origin	NOUN
gsjp-10033	63	67	of	of	ADP
gsjp-10033	63	68	the	the	DET
gsjp-10033	63	69	data	datum	NOUN
gsjp-10033	63	70	and	and	CCONJ
gsjp-10033	63	71	thus	thus	ADV
gsjp-10033	63	72	met	meet	VERB
gsjp-10033	63	73	this	this	DET
gsjp-10033	63	74	requirement	requirement	NOUN
gsjp-10033	63	75	.	.	PUNCT
gsjp-10033	64	1	thus	thus	ADV
gsjp-10033	64	2	,	,	PUNCT
gsjp-10033	64	3	the	the	DET
gsjp-10033	64	4	dataset	dataset	NOUN
gsjp-10033	64	5	of	of	ADP
gsjp-10033	64	6	origin	origin	NOUN
gsjp-10033	64	7	variable	variable	NOUN
gsjp-10033	64	8	should	should	AUX
gsjp-10033	64	9	not	not	PART
gsjp-10033	64	10	rely	rely	VERB
gsjp-10033	64	11	on	on	ADP
gsjp-10033	64	12	non	non	ADJ
gsjp-10033	64	13	-	-	ADJ
gsjp-10033	64	14	encoded	encode	VERB
gsjp-10033	64	15	methods	method	NOUN
gsjp-10033	64	16	(	(	PUNCT
gsjp-10033	64	17	such	such	ADJ
gsjp-10033	64	18	as	as	ADP
gsjp-10033	64	19	case	case	NOUN
gsjp-10033	64	20	origin	origin	NOUN
gsjp-10033	64	21	based	base	VERB
gsjp-10033	64	22	upon	upon	SCONJ
gsjp-10033	64	23	the	the	DET
gsjp-10033	64	24	cases	case	NOUN
gsjp-10033	64	25	’	'	PUNCT
gsjp-10033	64	26	ordering	ordering	NOUN
gsjp-10033	64	27	i.e.	i.e.	X
gsjp-10033	64	28	,	,	PUNCT
gsjp-10033	64	29	spss	spss	PROPN
gsjp-10033	64	30	row	row	NOUN
gsjp-10033	64	31	number	number	NOUN
gsjp-10033	64	32	)	)	PUNCT
gsjp-10033	64	33	within	within	ADP
gsjp-10033	64	34	the	the	DET
gsjp-10033	64	35	dataset	dataset	NOUN
gsjp-10033	64	36	.	.	PUNCT
gsjp-10033	65	1	if	if	SCONJ
gsjp-10033	65	2	case	case	NOUN
gsjp-10033	65	3	origin	origin	NOUN
gsjp-10033	65	4	is	be	AUX
gsjp-10033	65	5	denoted	denote	VERB
gsjp-10033	65	6	ljρ	ljρ	VERB
gsjp-10033	65	7	�	�	PROPN
gsjp-10033	65	8	ljƺșǔ	ljƺșǔ	PROPN
gsjp-10033	65	9	�	�	PROPN
gsjp-10033	65	10	ȅȗǐǔȗॹ	ȅȗǐǔȗॹ	PROPN
gsjp-10033	65	11	�	�	PROPN
gsjp-10033	65	12	ƺǿǐ	ƺǿǐ	PROPN
gsjp-10033	65	13	�	�	PROPN
gsjp-10033	65	14	ƞǧǔ	ƞǧǔ	PROPN
gsjp-10033	65	15	�	�	PROPN
gsjp-10033	65	16	йǿƺǹ	йǿƺǹ	PROPN
gsjp-10033	65	17	�	�	PROPN
gsjp-10033	65	18	ǿǔȗǡǔǐ	ǿǔȗǡǔǐ	PROPN
gsjp-10033	65	19	�	�	PROPN
gsjp-10033	65	20	ǐƺƞƺșǔƞ	ǐƺƞƺșǔƞ	PROPN
gsjp-10033	65	21	�	�	PROPN
gsjp-10033	65	22	ǩș	ǩș	NOUN
gsjp-10033	65	23	�	�	PROPN
gsjp-10033	65	24	ǔκǔȗ	ǔκǔȗ	NOUN
gsjp-10033	65	25	�	�	NOUN
gsjp-10033	65	26	ȗǔেȅȗdered	ȗǔেȅȗdere	VERB
gsjp-10033	65	27	,	,	PUNCT
gsjp-10033	65	28	the	the	DET
gsjp-10033	65	29	information	information	NOUN
gsjp-10033	65	30	regarding	regard	VERB
gsjp-10033	65	31	case	case	NOUN
gsjp-10033	65	32	origin	origin	NOUN
gsjp-10033	65	33	could	could	AUX
gsjp-10033	65	34	be	be	AUX
gsjp-10033	65	35	lost	lose	VERB
gsjp-10033	65	36	.	.	PUNCT
gsjp-10033	66	1	to	to	PART
gsjp-10033	66	2	summarize	summarize	VERB
gsjp-10033	66	3	,	,	PUNCT
gsjp-10033	66	4	each	each	PRON
gsjp-10033	66	5	of	of	ADP
gsjp-10033	66	6	the	the	DET
gsjp-10033	66	7	six	six	NUM
gsjp-10033	66	8	dataset	dataset	ADJ
gsjp-10033	66	9	merging	merge	VERB
gsjp-10033	66	10	reȕȣǩȗǔǿǔǿƞș	reȕȣǩȗǔǿǔǿƞș	NOUN
gsjp-10033	66	11	�	�	PROPN
gsjp-10033	66	12	ǿȣșƞ	ǿȣșƞ	PROPN
gsjp-10033	66	13	�	�	PROPN
gsjp-10033	66	14	ljǔ	ljǔ	NOUN
gsjp-10033	66	15	�	�	PROPN
gsjp-10033	66	16	ǟȣǹйǹǹǔǐ	ǟȣǹйǹǹǔǐ	PROPN
gsjp-10033	66	17	�	�	PROPN
gsjp-10033	66	18	ljρ	ljρ	PROPN
gsjp-10033	66	19	�	�	PROPN
gsjp-10033	66	20	ljǔǩǿǡ	ljǔǩǿǡ	PROPN
gsjp-10033	66	21	�	�	PROPN
gsjp-10033	66	22	ǔǿljȅǐǔǐ	ǔǿljȅǐǔǐ	PROPN
gsjp-10033	66	23	�	�	PROPN
gsjp-10033	66	24	ƺș	ƺș	NOUN
gsjp-10033	66	25	�	�	PROPN
gsjp-10033	66	26	șǔȓarate	șǔȓarate	NOUN
gsjp-10033	66	27	variables	variable	NOUN
gsjp-10033	66	28	within	within	ADP
gsjp-10033	66	29	the	the	DET
gsjp-10033	66	30	dataset	dataset	NOUN
gsjp-10033	66	31	or	or	CCONJ
gsjp-10033	66	32	in	in	ADP
gsjp-10033	66	33	such	such	DET
gsjp-10033	66	34	a	a	DET
gsjp-10033	66	35	way	way	NOUN
gsjp-10033	66	36	that	that	PRON
gsjp-10033	66	37	the	the	DET
gsjp-10033	66	38	information	information	NOUN
gsjp-10033	66	39	can	can	AUX
gsjp-10033	66	40	not	not	PART
gsjp-10033	66	41	be	be	AUX
gsjp-10033	66	42	easily	easily	ADV
gsjp-10033	66	43	lost	lose	VERB
gsjp-10033	66	44	.	.	PUNCT
gsjp-10033	67	1	conducting	conduct	VERB
gsjp-10033	67	2	the	the	DET
gsjp-10033	67	3	dataset	dataset	NOUN
gsjp-10033	67	4	merge	merge	NOUN
gsjp-10033	67	5	currently	currently	ADV
gsjp-10033	67	6	,	,	PUNCT
gsjp-10033	67	7	spss	spss	PROPN
gsjp-10033	67	8	does	do	AUX
gsjp-10033	67	9	not	not	PART
gsjp-10033	67	10	include	include	VERB
gsjp-10033	67	11	a	a	DET
gsjp-10033	67	12	built	build	VERB
gsjp-10033	67	13	-	-	PUNCT
gsjp-10033	67	14	in	in	ADP
gsjp-10033	67	15	function	function	NOUN
gsjp-10033	67	16	that	that	PRON
gsjp-10033	67	17	would	would	AUX
gsjp-10033	67	18	perform	perform	VERB
gsjp-10033	67	19	a	a	DET
gsjp-10033	67	20	dataset	dataset	ADJ
gsjp-10033	67	21	merge	merge	NOUN
gsjp-10033	67	22	that	that	PRON
gsjp-10033	67	23	ensures	ensure	VERB
gsjp-10033	67	24	all	all	DET
gsjp-10033	67	25	six	six	NUM
gsjp-10033	67	26	requirements	requirement	NOUN
gsjp-10033	67	27	(	(	PUNCT
gsjp-10033	67	28	above	above	ADV
gsjp-10033	67	29	)	)	PUNCT
gsjp-10033	67	30	are	be	AUX
gsjp-10033	67	31	met	meet	VERB
gsjp-10033	67	32	.	.	PUNCT
gsjp-10033	68	1	for	for	ADP
gsjp-10033	68	2	example	example	NOUN
gsjp-10033	68	3	,	,	PUNCT
gsjp-10033	68	4	the	the	DET
gsjp-10033	68	5	add	add	VERB
gsjp-10033	68	6	files	file	NOUN
gsjp-10033	68	7	command	command	NOUN
gsjp-10033	68	8	does	do	AUX
gsjp-10033	68	9	not	not	PART
gsjp-10033	68	10	identify	identify	VERB
gsjp-10033	68	11	cases	case	NOUN
gsjp-10033	68	12	that	that	PRON
gsjp-10033	68	13	are	be	AUX
gsjp-10033	68	14	unique	unique	ADJ
gsjp-10033	68	15	to	to	ADP
gsjp-10033	68	16	one	one	NUM
gsjp-10033	68	17	of	of	ADP
gsjp-10033	68	18	a	a	DET
gsjp-10033	68	19	researcher	researcher	NOUN
gsjp-10033	68	20	’s	’s	PART
gsjp-10033	68	21	original	original	ADJ
gsjp-10033	68	22	datasets	dataset	NOUN
gsjp-10033	68	23	,	,	PUNCT
gsjp-10033	68	24	8	8	NUM
gsjp-10033	68	25	nor	nor	CCONJ
gsjp-10033	68	26	is	be	AUX
gsjp-10033	68	27	it	it	PRON
gsjp-10033	68	28	able	able	ADJ
gsjp-10033	68	29	to	to	PART
gsjp-10033	68	30	identify	identify	VERB
gsjp-10033	68	31	duplicate	duplicate	ADJ
gsjp-10033	68	32	cases	case	NOUN
gsjp-10033	68	33	that	that	PRON
gsjp-10033	68	34	have	have	AUX
gsjp-10033	68	35	mismatched	mismatch	VERB
gsjp-10033	68	36	data	datum	NOUN
gsjp-10033	68	37	,	,	PUNCT
gsjp-10033	68	38	thus	thus	ADV
gsjp-10033	68	39	,	,	PUNCT
gsjp-10033	68	40	not	not	PART
gsjp-10033	68	41	meeting	meet	VERB
gsjp-10033	68	42	requirements	requirement	NOUN
gsjp-10033	68	43	4	4	NUM
gsjp-10033	68	44	and	and	CCONJ
gsjp-10033	68	45	6	6	NUM
gsjp-10033	68	46	.	.	PUNCT
gsjp-10033	69	1	the	the	DET
gsjp-10033	69	2	merge	merge	NOUN
gsjp-10033	69	3	datasets	dataset	NOUN
gsjp-10033	69	4	command	command	NOUN
gsjp-10033	69	5	does	do	AUX
gsjp-10033	69	6	not	not	PART
gsjp-10033	69	7	meet	meet	VERB
gsjp-10033	69	8	requirements	requirement	NOUN
gsjp-10033	69	9	4	4	NUM
gsjp-10033	69	10	,	,	PUNCT
gsjp-10033	69	11	5	5	NUM
gsjp-10033	69	12	,	,	PUNCT
gsjp-10033	69	13	or	or	CCONJ
gsjp-10033	69	14	6	6	NUM
gsjp-10033	69	15	.	.	PUNCT
gsjp-10033	70	1	in	in	ADP
gsjp-10033	70	2	order	order	NOUN
gsjp-10033	70	3	to	to	PART
gsjp-10033	70	4	meet	meet	VERB
gsjp-10033	70	5	requirement	requirement	NOUN
gsjp-10033	70	6	1	1	NUM
gsjp-10033	70	7	using	use	VERB
gsjp-10033	70	8	merge	merge	NOUN
gsjp-10033	70	9	datasets	dataset	NOUN
gsjp-10033	70	10	,	,	PUNCT
gsjp-10033	70	11	additional	additional	ADJ
gsjp-10033	70	12	syntax	syntax	NOUN
gsjp-10033	70	13	is	be	AUX
gsjp-10033	70	14	needed	need	VERB
gsjp-10033	70	15	.	.	PUNCT
gsjp-10033	71	1	similarly	similarly	ADV
gsjp-10033	71	2	,	,	PUNCT
gsjp-10033	71	3	the	the	DET
gsjp-10033	71	4	match	match	NOUN
gsjp-10033	71	5	files	file	NOUN
gsjp-10033	71	6	command	command	NOUN
gsjp-10033	71	7	does	do	AUX
gsjp-10033	71	8	not	not	PART
gsjp-10033	71	9	meet	meet	VERB
gsjp-10033	71	10	requirements	requirement	NOUN
gsjp-10033	71	11	1	1	NUM
gsjp-10033	71	12	,	,	PUNCT
gsjp-10033	71	13	4	4	NUM
gsjp-10033	71	14	,	,	PUNCT
gsjp-10033	71	15	5	5	NUM
gsjp-10033	71	16	,	,	PUNCT
gsjp-10033	71	17	or	or	CCONJ
gsjp-10033	71	18	6	6	NUM
gsjp-10033	71	19	.	.	PUNCT
gsjp-10033	72	1	finally	finally	ADV
gsjp-10033	72	2	,	,	PUNCT
gsjp-10033	72	3	the	the	DET
gsjp-10033	72	4	compare	compare	NOUN
gsjp-10033	72	5	datasets	dataset	NOUN
gsjp-10033	72	6	command	command	NOUN
gsjp-10033	72	7	does	do	AUX
gsjp-10033	72	8	not	not	PART
gsjp-10033	72	9	meet	meet	VERB
gsjp-10033	72	10	requirements	requirement	NOUN
gsjp-10033	72	11	1	1	NUM
gsjp-10033	72	12	,	,	PUNCT
gsjp-10033	72	13	2	2	NUM
gsjp-10033	72	14	,	,	PUNCT
gsjp-10033	72	15	3	3	NUM
gsjp-10033	72	16	,	,	PUNCT
gsjp-10033	72	17	or	or	CCONJ
gsjp-10033	72	18	4	4	NUM
gsjp-10033	72	19	.	.	PUNCT
gsjp-10033	73	1	in	in	ADP
gsjp-10033	73	2	determining	determine	VERB
gsjp-10033	73	3	which	which	DET
gsjp-10033	73	4	syntax	syntax	NOUN
gsjp-10033	73	5	best	good	ADJ
gsjp-10033	73	6	meets	meet	VERB
gsjp-10033	73	7	all	all	DET
gsjp-10033	73	8	six	six	NUM
gsjp-10033	73	9	requirements	requirement	NOUN
gsjp-10033	73	10	,	,	PUNCT
gsjp-10033	73	11	a	a	DET
gsjp-10033	73	12	literature	literature	NOUN
gsjp-10033	73	13	review	review	NOUN
gsjp-10033	73	14	was	be	AUX
gsjp-10033	73	15	conǐȣljƞǔǐ	conǐȣljƞǔǐ	PROPN
gsjp-10033	73	16	�	�	PROPN
gsjp-10033	73	17	λǧǩljǧ	λǧǩljǧ	PROPN
gsjp-10033	73	18	�	�	PROPN
gsjp-10033	73	19	ρǩǔǹǐǔǐ	ρǩǔǹǐǔǐ	PROPN
gsjp-10033	73	20	�	�	PROPN
gsjp-10033	73	21	йκǔ	йκǔ	PROPN
gsjp-10033	73	22	�	�	PROPN
gsjp-10033	73	23	শࢶষ	শࢶষ	PROPN
gsjp-10033	73	24	�	�	PROPN
gsjp-10033	73	25	ƿǿȅλǿ	ƿǿȅλǿ	PROPN
gsjp-10033	73	26	�	�	PROPN
gsjp-10033	73	27	ȓȅșșǩljǹǔ	ȓȅșșǩljǹǔ	PROPN
gsjp-10033	73	28	�	�	PROPN
gsjp-10033	73	29	ǿǔƞǧȅǐș	ǿǔƞǧȅǐș	NOUN
gsjp-10033	73	30	�	�	PROPN
gsjp-10033	73	31	for	for	ADP
gsjp-10033	73	32	combining	combine	VERB
gsjp-10033	73	33	datasets	dataset	NOUN
gsjp-10033	73	34	in	in	ADP
gsjp-10033	73	35	spss	spss	PROPN
gsjp-10033	73	36	.	.	PUNCT
gsjp-10033	74	1	a	a	DET
gsjp-10033	74	2	total	total	NOUN
gsjp-10033	74	3	of	of	ADP
gsjp-10033	74	4	12	12	NUM
gsjp-10033	74	5	experǩǿǔǿƞș	experǩǿǔǿƞș	PROPN
gsjp-10033	74	6	�	�	PROPN
gsjp-10033	74	7	λǔȗǔ	λǔȗǔ	NOUN
gsjp-10033	74	8	�	�	PROPN
gsjp-10033	74	9	ljȅǿǐȣljƞǔǐ	ljȅǿǐȣljƞǔǐ	PROPN
gsjp-10033	74	10	�	�	PROPN
gsjp-10033	74	11	ȣșǩǿǡ	ȣșǩǿǡ	PROPN
gsjp-10033	74	12	�	�	PROPN
gsjp-10033	74	13	ƞǧǔ	ƞǧǔ	PROPN
gsjp-10033	74	14	�	�	PROPN
gsjp-10033	74	15	йκǔ	йκǔ	PROPN
gsjp-10033	74	16	�	�	PROPN
gsjp-10033	74	17	ǿǔƞǧȅǐșॹ	ǿǔƞǧȅǐșॹ	PROPN
gsjp-10033	74	18	�	�	PROPN
gsjp-10033	74	19	λǩƞǧ	λǩƞǧ	PROPN
gsjp-10033	74	20	�	�	PROPN
gsjp-10033	74	21	ǔƺljǧ	ǔƺljǧ	PROPN
gsjp-10033	74	22	�	�	PROPN
gsjp-10033	74	23	ǿǔƞǧȅǐ	ǿǔƞǧȅǐ	NOUN
gsjp-10033	74	24	�	�	PROPN
gsjp-10033	74	25	йȗșƞ	йȗșƞ	ADJ
gsjp-10033	74	26	�	�	PROPN
gsjp-10033	74	27	ljǔǩǿǡ	ljǔǩǿǡ	PROPN
gsjp-10033	74	28	�	�	PROPN
gsjp-10033	74	29	ƞǔșƞǔǐ	ƞǔșƞǔǐ	PROPN
gsjp-10033	74	30	�	�	PROPN
gsjp-10033	74	31	ǩǿ	ǩǿ	PROPN
gsjp-10033	74	32	�	�	PROPN
gsjp-10033	74	33	ǩƞș	ǩƞș	PROPN
gsjp-10033	74	34	�	�	PROPN
gsjp-10033	74	35	șǩǿȓǹǔșƞ	șǩǿȓǹǔșƞ	PROPN
gsjp-10033	74	36	�	�	PROPN
gsjp-10033	74	37	ǟȅȗǿ	ǟȅȗǿ	PROPN
gsjp-10033	74	38	�	�	PROPN
gsjp-10033	74	39	ƺǿǐ	ƺǿǐ	PROPN
gsjp-10033	74	40	�	�	PROPN
gsjp-10033	74	41	then	then	ADV
gsjp-10033	74	42	tested	test	VERB
gsjp-10033	74	43	again	again	ADV
gsjp-10033	74	44	in	in	ADP
gsjp-10033	74	45	more	more	ADJ
gsjp-10033	74	46	complex	complex	ADJ
gsjp-10033	74	47	forms	form	NOUN
gsjp-10033	74	48	.	.	PUNCT
gsjp-10033	75	1	a	a	DET
gsjp-10033	75	2	summary	summary	NOUN
gsjp-10033	75	3	of	of	ADP
gsjp-10033	75	4	the	the	DET
gsjp-10033	75	5	experiments	experiment	NOUN
gsjp-10033	75	6	conducted	conduct	VERB
gsjp-10033	75	7	,	,	PUNCT
gsjp-10033	75	8	and	and	CCONJ
gsjp-10033	75	9	their	their	PRON
gsjp-10033	75	10	outcomes	outcome	NOUN
gsjp-10033	75	11	can	can	AUX
gsjp-10033	75	12	be	be	AUX
gsjp-10033	75	13	found	find	VERB
gsjp-10033	75	14	in	in	ADP
gsjp-10033	75	15	table	table	NOUN
gsjp-10033	75	16	1	1	NUM
gsjp-10033	75	17	.	.	PUNCT
gsjp-10033	75	18	�	�	PROPN
gsjp-10033	75	19	eǧǔ	eǧǔ	PROPN
gsjp-10033	75	20	�	�	PROPN
gsjp-10033	75	21	йǿƺǹ	йǿƺǹ	NOUN
gsjp-10033	75	22	�	�	PROPN
gsjp-10033	75	23	ȓȗȅǐȣljƞ	ȓȗȅǐȣljƞ	PROPN
gsjp-10033	75	24	�	�	PROPN
gsjp-10033	75	25	শljƺșǔǐ	শljƺșǔǐ	PROPN
gsjp-10033	75	26	�	�	PROPN
gsjp-10033	75	27	ȅǿ	ȅǿ	NUM
gsjp-10033	75	28	�	�	PROPN
gsjp-10033	75	29	ƞǧǔ	ƞǧǔ	PROPN
gsjp-10033	75	30	�	�	PROPN
gsjp-10033	75	31	ȅȣƞljȅǿǔ	ȅȣƞljȅǿǔ	NOUN
gsjp-10033	75	32	�	�	PROPN
gsjp-10033	75	33	ȅǟ	ȅǟ	NOUN
gsjp-10033	75	34	�	�	PROPN
gsjp-10033	75	35	ǔπperiment	ǔπperiment	NOUN
gsjp-10033	75	36	12	12	NUM
gsjp-10033	75	37	)	)	PUNCT
gsjp-10033	75	38	was	be	AUX
gsjp-10033	75	39	a	a	DET
gsjp-10033	75	40	set	set	NOUN
gsjp-10033	75	41	of	of	ADP
gsjp-10033	75	42	spss	spss	PROPN
gsjp-10033	75	43	syntax	syntax	NOUN
gsjp-10033	75	44	to	to	PART
gsjp-10033	75	45	successfully	successfully	ADV
gsjp-10033	75	46	overcome	overcome	VERB
gsjp-10033	75	47	the	the	DET
gsjp-10033	75	48	challenges	challenge	NOUN
gsjp-10033	75	49	associated	associate	VERB
gsjp-10033	75	50	with	with	ADP
gsjp-10033	75	51	merging	merge	VERB
gsjp-10033	75	52	mismatched	mismatch	VERB
gsjp-10033	75	53	datasets	dataset	NOUN
gsjp-10033	75	54	using	use	VERB
gsjp-10033	75	55	the	the	DET
gsjp-10033	75	56	least	least	ADJ
gsjp-10033	75	57	number	number	NOUN
gsjp-10033	75	58	of	of	ADP
gsjp-10033	75	59	steps	step	NOUN
gsjp-10033	75	60	.	.	PUNCT
gsjp-10033	76	1	it	it	PRON
gsjp-10033	76	2	should	should	AUX
gsjp-10033	76	3	be	be	AUX
gsjp-10033	76	4	noted	note	VERB
gsjp-10033	76	5	that	that	SCONJ
gsjp-10033	76	6	the	the	DET
gsjp-10033	76	7	following	follow	VERB
gsjp-10033	76	8	steps	step	NOUN
gsjp-10033	76	9	were	be	AUX
gsjp-10033	76	10	developed	develop	VERB
gsjp-10033	76	11	using	use	VERB
gsjp-10033	76	12	spss	spss	PROPN
gsjp-10033	76	13	v23	v23	PROPN
gsjp-10033	76	14	(	(	PUNCT
gsjp-10033	76	15	ibm	ibm	PROPN
gsjp-10033	76	16	corp	corp	PROPN
gsjp-10033	76	17	.	.	PROPN
gsjp-10033	76	18	,	,	PUNCT
gsjp-10033	76	19	2015	2015	NUM
gsjp-10033	76	20	)	)	PUNCT
gsjp-10033	76	21	and	and	CCONJ
gsjp-10033	76	22	tested	test	VERB
gsjp-10033	76	23	using	use	VERB
gsjp-10033	76	24	spss	spss	PROPN
gsjp-10033	76	25	v25	v25	NOUN
gsjp-10033	76	26	and	and	CCONJ
gsjp-10033	76	27	v27	v27	PROPN
gsjp-10033	76	28	(	(	PUNCT
gsjp-10033	76	29	ibm	ibm	PROPN
gsjp-10033	76	30	corp	corp	PROPN
gsjp-10033	76	31	.	.	PROPN
gsjp-10033	76	32	,	,	PUNCT
gsjp-10033	76	33	2017	2017	NUM
gsjp-10033	76	34	,	,	PUNCT
gsjp-10033	76	35	2020	2020	NUM
gsjp-10033	76	36	)	)	PUNCT
gsjp-10033	76	37	.	.	PUNCT
gsjp-10033	77	1	it	it	PRON
gsjp-10033	77	2	should	should	AUX
gsjp-10033	77	3	be	be	AUX
gsjp-10033	77	4	noted	note	VERB
gsjp-10033	77	5	that	that	SCONJ
gsjp-10033	77	6	conducting	conduct	VERB
gsjp-10033	77	7	the	the	DET
gsjp-10033	77	8	merge	merge	NOUN
gsjp-10033	77	9	using	use	VERB
gsjp-10033	77	10	this	this	DET
gsjp-10033	77	11	syntax	syntax	NOUN
gsjp-10033	77	12	works	work	NOUN
gsjp-10033	77	13	across	across	ADP
gsjp-10033	77	14	all	all	DET
gsjp-10033	77	15	versions	version	NOUN
gsjp-10033	77	16	including	include	VERB
gsjp-10033	77	17	spss	spss	PROPN
gsjp-10033	77	18	v28	v28	PROPN
gsjp-10033	77	19	(	(	PUNCT
gsjp-10033	77	20	ibm	ibm	PROPN
gsjp-10033	77	21	corp	corp	PROPN
gsjp-10033	77	22	.	.	PROPN
gsjp-10033	77	23	,	,	PUNCT
gsjp-10033	77	24	2021	2021	NUM
gsjp-10033	77	25	)	)	PUNCT
gsjp-10033	77	26	;	;	PUNCT
gsjp-10033	77	27	however	however	ADV
gsjp-10033	77	28	,	,	PUNCT
gsjp-10033	77	29	changes	change	NOUN
gsjp-10033	77	30	made	make	VERB
gsjp-10033	77	31	to	to	PART
gsjp-10033	77	32	v28	v28	VERB
gsjp-10033	77	33	in	in	ADP
gsjp-10033	77	34	the	the	DET
gsjp-10033	77	35	point	point	NOUN
gsjp-10033	77	36	-	-	PUNCT
gsjp-10033	77	37	and	and	CCONJ
gsjp-10033	77	38	-	-	PUNCT
gsjp-10033	77	39	click	click	NOUN
gsjp-10033	77	40	options	option	NOUN
gsjp-10033	77	41	may	may	AUX
gsjp-10033	77	42	create	create	VERB
gsjp-10033	77	43	a	a	DET
gsjp-10033	77	44	mismatch	mismatch	NOUN
gsjp-10033	77	45	between	between	ADP
gsjp-10033	77	46	the	the	DET
gsjp-10033	77	47	instructions	instruction	NOUN
gsjp-10033	77	48	provided	provide	VERB
gsjp-10033	77	49	herein	herein	NOUN
gsjp-10033	77	50	.	.	PUNCT
gsjp-10033	78	1	spss	spss	PROPN
gsjp-10033	78	2	syntax	syntax	VERB
gsjp-10033	78	3	the	the	DET
gsjp-10033	78	4	following	following	ADJ
gsjp-10033	78	5	instructions	instruction	NOUN
gsjp-10033	78	6	on	on	ADP
gsjp-10033	78	7	how	how	SCONJ
gsjp-10033	78	8	to	to	PART
gsjp-10033	78	9	use	use	VERB
gsjp-10033	78	10	the	the	DET
gsjp-10033	78	11	syntax	syntax	NOUN
gsjp-10033	78	12	are	be	AUX
gsjp-10033	78	13	applicable	applicable	ADJ
gsjp-10033	78	14	when	when	SCONJ
gsjp-10033	78	15	researchers	researcher	NOUN
gsjp-10033	78	16	have	have	VERB
gsjp-10033	78	17	two	two	NUM
gsjp-10033	78	18	datasets	dataset	NOUN
gsjp-10033	78	19	that	that	PRON
gsjp-10033	78	20	they	they	PRON
gsjp-10033	78	21	wish	wish	VERB
gsjp-10033	78	22	to	to	PART
gsjp-10033	78	23	merge	merge	VERB
gsjp-10033	78	24	.	.	PUNCT
gsjp-10033	79	1	it	it	PRON
gsjp-10033	79	2	can	can	AUX
gsjp-10033	79	3	also	also	ADV
gsjp-10033	79	4	be	be	AUX
gsjp-10033	79	5	used	use	VERB
gsjp-10033	79	6	repeatedly	repeatedly	ADV
gsjp-10033	79	7	if	if	SCONJ
gsjp-10033	79	8	more	more	ADJ
gsjp-10033	79	9	than	than	ADP
gsjp-10033	79	10	two	two	NUM
gsjp-10033	79	11	datasets	dataset	NOUN
gsjp-10033	79	12	must	must	AUX
gsjp-10033	79	13	be	be	AUX
gsjp-10033	79	14	merged	merge	VERB
gsjp-10033	79	15	.	.	PUNCT
gsjp-10033	80	1	please	please	INTJ
gsjp-10033	80	2	refer	refer	VERB
gsjp-10033	80	3	to	to	ADP
gsjp-10033	80	4	appendix	appendix	VERB
gsjp-10033	80	5	a	a	PRON
gsjp-10033	80	6	for	for	ADP
gsjp-10033	80	7	the	the	DET
gsjp-10033	80	8	syntax	syntax	NOUN
gsjp-10033	80	9	related	relate	VERB
gsjp-10033	80	10	to	to	ADP
gsjp-10033	80	11	each	each	DET
gsjp-10033	80	12	step	step	NOUN
gsjp-10033	80	13	.	.	PUNCT
gsjp-10033	81	1	2ƞ	2ƞ	NUM
gsjp-10033	81	2	�	�	PROPN
gsjp-10033	81	3	ǩș	ǩș	NOUN
gsjp-10033	81	4	�	�	PROPN
gsjp-10033	81	5	ƺǹșȅ	ƺǹșȅ	VERB
gsjp-10033	81	6	�	�	PROPN
gsjp-10033	81	7	ǩǿȓȅȗƞƺǿƞ	ǩǿȓȅȗƞƺǿƞ	PROPN
gsjp-10033	81	8	�	�	PROPN
gsjp-10033	81	9	ƞȅ	ƞȅ	NOUN
gsjp-10033	81	10	�	�	PROPN
gsjp-10033	81	11	ǿȅƞǔ	ǿȅƞǔ	ADJ
gsjp-10033	81	12	�	�	PROPN
gsjp-10033	81	13	ƞǧƺƞ	ƞǧƺƞ	PROPN
gsjp-10033	81	14	�	�	PROPN
gsjp-10033	81	15	ƞǧǔ	ƞǧǔ	PROPN
gsjp-10033	81	16	�	�	PROPN
gsjp-10033	81	17	йǡȣȗǔș	йǡȣȗǔș	PROPN
gsjp-10033	81	18	�	�	PROPN
gsjp-10033	81	19	ȓȗȅκǩǐǔǐ	ȓȗȅκǩǐǔǐ	PROPN
gsjp-10033	81	20	�	�	PROPN
gsjp-10033	81	21	ƞǧȗȅȣǡǧȅȣƞ	ƞǧȗȅȣǡǧȅȣƞ	PROPN
gsjp-10033	81	22	�	�	PROPN
gsjp-10033	81	23	ƞǧǩș	ƞǧǩș	PROPN
gsjp-10033	81	24	�	�	PROPN
gsjp-10033	81	25	șǔljƞǩȅǿ	șǔljƞǩȅǿ	PROPN
gsjp-10033	81	26	�	�	PROPN
gsjp-10033	81	27	ƺȗǔ	ƺȗǔ	PROPN
gsjp-10033	81	28	�	�	PROPN
gsjp-10033	81	29	șǩǿȓǹǩйǔǐ	șǩǿȓǹǩйǔǐ	PROPN
gsjp-10033	81	30	�	�	PROPN
gsjp-10033	81	31	ǡȗƺȓǧǩljș	ǡȗƺȓǧǩljș	PROPN
gsjp-10033	81	32	�	�	PROPN
gsjp-10033	81	33	ȅǟ	ȅǟ	PROPN
gsjp-10033	81	34	�	�	PROPN
gsjp-10033	81	35	ƞǧǔ	ƞǧǔ	NOUN
gsjp-10033	81	36	�	�	PROPN
gsjp-10033	81	37	analysis	analysis	NOUN
gsjp-10033	81	38	for	for	ADP
gsjp-10033	81	39	demonstration	demonstration	NOUN
gsjp-10033	81	40	only	only	ADV
gsjp-10033	81	41	and	and	CCONJ
gsjp-10033	81	42	were	be	AUX
gsjp-10033	81	43	not	not	PART
gsjp-10033	81	44	conǐȣljƞǔǐ	conǐȣljƞǔǐ	NOUN
gsjp-10033	81	45	�	�	PROPN
gsjp-10033	81	46	ȣșǩǿǡ	ȣșǩǿǡ	PROPN
gsjp-10033	81	47	�	�	PROPN
gsjp-10033	81	48	ƞǧǔ	ƞǧǔ	PROPN
gsjp-10033	81	49	�	�	PROPN
gsjp-10033	81	50	șȣȓȓǹǔǿǔǿƞƺǹ	șȣȓȓǹǔǿǔǿƞƺǹ	PROPN
gsjp-10033	81	51	�	�	PROPN
gsjp-10033	81	52	йǹǔșঀ	йǹǔșঀ	PROPN
gsjp-10033	81	53	�	�	PROPN
gsjp-10033	81	54	�	�	PROPN
gsjp-10033	81	55	eǧǔ	eǧǔ	PROPN
gsjp-10033	81	56	�	�	PROPN
gsjp-10033	81	57	șȣȓȓǹǔǿǔǿƞƺǹ	șȣȓȓǹǔǿǔǿƞƺǹ	PROPN
gsjp-10033	81	58	�	�	PROPN
gsjp-10033	81	59	йǹǔș	йǹǔș	PROPN
gsjp-10033	81	60	�	�	PROPN
gsjp-10033	81	61	ƺȗǔ	ƺȗǔ	PROPN
gsjp-10033	81	62	�	�	PROPN
gsjp-10033	81	63	ȓȗȅκǩǐǔǐ	ȓȗȅκǩǐǔǐ	NOUN
gsjp-10033	81	64	�	�	PROPN
gsjp-10033	81	65	ǟȅȗ	ǟȅȗ	PROPN
gsjp-10033	81	66	�	�	PROPN
gsjp-10033	81	67	ƞǧǔ	ƞǧǔ	PROPN
gsjp-10033	81	68	�	�	PROPN
gsjp-10033	81	69	ȓȣȗȓȅșǔ	ȓȣȗȓȅșǔ	PROPN
gsjp-10033	81	70	�	�	PROPN
gsjp-10033	81	71	ȅǟ	ȅǟ	NOUN
gsjp-10033	81	72	�	�	PROPN
gsjp-10033	81	73	ȓȗƺljƞǩljǩǿǡ	ȓȗƺljƞǩljǩǿǡ	PROPN
gsjp-10033	81	74	�	�	PROPN
gsjp-10033	81	75	ƞǧǔ	ƞǧǔ	PROPN
gsjp-10033	81	76	�	�	PROPN
gsjp-10033	81	77	procedure	procedure	NOUN
gsjp-10033	81	78	with	with	ADP
gsjp-10033	81	79	a	a	DET
gsjp-10033	81	80	more	more	ADV
gsjp-10033	81	81	realistic	realistic	ADJ
gsjp-10033	81	82	dataset	dataset	NOUN
gsjp-10033	81	83	.	.	PUNCT
gsjp-10033	82	1	original	original	ADJ
gsjp-10033	82	2	datasets	dataset	NOUN
gsjp-10033	82	3	for	for	ADP
gsjp-10033	82	4	variables	variable	NOUN
gsjp-10033	82	5	shared	share	VERB
gsjp-10033	82	6	by	by	ADP
gsjp-10033	82	7	the	the	DET
gsjp-10033	82	8	two	two	NUM
gsjp-10033	82	9	original	original	ADJ
gsjp-10033	82	10	datasets	dataset	NOUN
gsjp-10033	82	11	,	,	PUNCT
gsjp-10033	82	12	the	the	DET
gsjp-10033	82	13	variable	variable	ADJ
gsjp-10033	82	14	information	information	NOUN
gsjp-10033	82	15	should	should	AUX
gsjp-10033	82	16	match	match	VERB
gsjp-10033	82	17	perfectly	perfectly	ADV
gsjp-10033	82	18	(	(	PUNCT
gsjp-10033	82	19	type	type	NOUN
gsjp-10033	82	20	,	,	PUNCT
gsjp-10033	82	21	width	width	ADJ
gsjp-10033	82	22	,	,	PUNCT
gsjp-10033	82	23	label	label	NOUN
gsjp-10033	82	24	,	,	PUNCT
gsjp-10033	82	25	values	value	NOUN
gsjp-10033	82	26	,	,	PUNCT
gsjp-10033	82	27	etc	etc	X
gsjp-10033	82	28	.	.	X
gsjp-10033	82	29	)	)	PUNCT
gsjp-10033	82	30	.	.	PUNCT
gsjp-10033	83	1	the	the	DET
gsjp-10033	83	2	following	follow	VERB
gsjp-10033	83	3	steps	step	NOUN
gsjp-10033	83	4	will	will	AUX
gsjp-10033	83	5	erroneously	erroneously	ADV
gsjp-10033	83	6	identify	identify	VERB
gsjp-10033	83	7	matching	matching	NOUN
gsjp-10033	83	8	variables	variable	NOUN
gsjp-10033	83	9	as	as	ADP
gsjp-10033	83	10	separate	separate	ADJ
gsjp-10033	83	11	variables	variable	NOUN
gsjp-10033	83	12	when	when	SCONJ
gsjp-10033	83	13	they	they	PRON
gsjp-10033	83	14	do	do	AUX
gsjp-10033	83	15	not	not	PART
gsjp-10033	83	16	have	have	VERB
gsjp-10033	83	17	identical	identical	ADJ
gsjp-10033	83	18	characteristics	characteristic	NOUN
gsjp-10033	83	19	(	(	PUNCT
gsjp-10033	83	20	type	type	NOUN
gsjp-10033	83	21	,	,	PUNCT
gsjp-10033	83	22	width	width	NOUN
gsjp-10033	83	23	,	,	PUNCT
gsjp-10033	83	24	etc	etc	X
gsjp-10033	83	25	.	.	X
gsjp-10033	83	26	)	)	PUNCT
gsjp-10033	83	27	.	.	PUNCT
gsjp-10033	84	1	before	before	ADP
gsjp-10033	84	2	beginning	begin	VERB
gsjp-10033	84	3	the	the	DET
gsjp-10033	84	4	next	next	ADJ
gsjp-10033	84	5	steps	step	NOUN
gsjp-10033	84	6	,	,	PUNCT
gsjp-10033	84	7	identify	identify	VERB
gsjp-10033	84	8	which	which	DET
gsjp-10033	84	9	dataset	dataset	NOUN
gsjp-10033	84	10	will	will	AUX
gsjp-10033	84	11	be	be	AUX
gsjp-10033	84	12	your	your	PRON
gsjp-10033	84	13	“	"	PUNCT
gsjp-10033	84	14	dataset	dataset	NOUN
gsjp-10033	84	15	1	1	NUM
gsjp-10033	84	16	”	"	PUNCT
gsjp-10033	84	17	and	and	CCONJ
gsjp-10033	84	18	open	open	VERB
gsjp-10033	84	19	both	both	DET
gsjp-10033	84	20	original	original	ADJ
gsjp-10033	84	21	datasets	dataset	NOUN
gsjp-10033	84	22	.	.	PUNCT
gsjp-10033	85	1	see	see	VERB
gsjp-10033	85	2	figure	figure	NOUN
gsjp-10033	85	3	1	1	NUM
gsjp-10033	85	4	for	for	ADP
gsjp-10033	85	5	an	an	DET
gsjp-10033	85	6	example	example	NOUN
gsjp-10033	85	7	of	of	ADP
gsjp-10033	85	8	two	two	NUM
gsjp-10033	85	9	original	original	ADJ
gsjp-10033	85	10	datasets	dataset	NOUN
gsjp-10033	85	11	to	to	PART
gsjp-10033	85	12	be	be	AUX
gsjp-10033	85	13	merged	merge	VERB
gsjp-10033	85	14	.	.	PUNCT
gsjp-10033	86	1	it	it	PRON
gsjp-10033	86	2	is	be	AUX
gsjp-10033	86	3	also	also	ADV
gsjp-10033	86	4	necessary	necessary	ADJ
gsjp-10033	86	5	to	to	PART
gsjp-10033	86	6	clean	clean	VERB
gsjp-10033	86	7	the	the	DET
gsjp-10033	86	8	data	datum	NOUN
gsjp-10033	86	9	from	from	ADP
gsjp-10033	86	10	each	each	PRON
gsjp-10033	86	11	of	of	ADP
gsjp-10033	86	12	the	the	DET
gsjp-10033	86	13	datasets	dataset	NOUN
gsjp-10033	86	14	to	to	PART
gsjp-10033	86	15	be	be	AUX
gsjp-10033	86	16	merged	merge	VERB
gsjp-10033	86	17	to	to	ADP
gsjp-10033	86	18	the	the	DET
gsjp-10033	86	19	best	good	ADJ
gsjp-10033	86	20	of	of	ADP
gsjp-10033	86	21	one	one	NUM
gsjp-10033	86	22	’s	’s	PART
gsjp-10033	86	23	ability	ability	NOUN
gsjp-10033	86	24	before	before	ADP
gsjp-10033	86	25	beginning	begin	VERB
gsjp-10033	86	26	the	the	DET
gsjp-10033	86	27	dataset	dataset	NOUN
gsjp-10033	86	28	merging	merging	NOUN
gsjp-10033	86	29	process	process	NOUN
gsjp-10033	86	30	.	.	PUNCT
gsjp-10033	87	1	syntax	syntax	NOUN
gsjp-10033	87	2	step	step	NOUN
gsjp-10033	87	3	1	1	NUM
gsjp-10033	87	4	:	:	PUNCT
gsjp-10033	87	5	comparing	compare	VERB
gsjp-10033	87	6	cases	case	NOUN
gsjp-10033	87	7	between	between	ADP
gsjp-10033	87	8	datasets	dataset	NOUN
gsjp-10033	87	9	the	the	DET
gsjp-10033	87	10	purpose	purpose	NOUN
gsjp-10033	87	11	of	of	ADP
gsjp-10033	87	12	step	step	NOUN
gsjp-10033	87	13	1	1	NUM
gsjp-10033	87	14	is	be	AUX
gsjp-10033	87	15	to	to	PART
gsjp-10033	87	16	create	create	VERB
gsjp-10033	87	17	a	a	DET
gsjp-10033	87	18	new	new	ADJ
gsjp-10033	87	19	variable	variable	NOUN
gsjp-10033	87	20	that	that	PRON
gsjp-10033	87	21	encodes	encode	VERB
gsjp-10033	87	22	the	the	DET
gsjp-10033	87	23	number	number	NOUN
gsjp-10033	87	24	of	of	ADP
gsjp-10033	87	25	unique	unique	ADJ
gsjp-10033	87	26	cases	case	NOUN
gsjp-10033	87	27	present	present	ADJ
gsjp-10033	87	28	in	in	ADP
gsjp-10033	87	29	dataset	dataset	NOUN
gsjp-10033	87	30	1	1	NUM
gsjp-10033	87	31	,	,	PUNCT
gsjp-10033	87	32	the	the	DET
gsjp-10033	87	33	number	number	NOUN
gsjp-10033	87	34	of	of	ADP
gsjp-10033	87	35	cases	case	NOUN
gsjp-10033	87	36	present	present	ADJ
gsjp-10033	87	37	in	in	ADP
gsjp-10033	87	38	both	both	DET
gsjp-10033	87	39	original	original	ADJ
gsjp-10033	87	40	datasets	dataset	NOUN
gsjp-10033	87	41	that	that	PRON
gsjp-10033	87	42	are	be	AUX
gsjp-10033	87	43	perfectly	perfectly	ADV
gsjp-10033	87	44	matched	match	VERB
gsjp-10033	87	45	,	,	PUNCT
gsjp-10033	87	46	and	and	CCONJ
gsjp-10033	87	47	the	the	DET
gsjp-10033	87	48	number	number	NOUN
gsjp-10033	87	49	of	of	ADP
gsjp-10033	87	50	cases	case	NOUN
gsjp-10033	87	51	present	present	ADJ
gsjp-10033	87	52	in	in	ADP
gsjp-10033	87	53	both	both	DET
gsjp-10033	87	54	original	original	ADJ
gsjp-10033	87	55	datasets	dataset	NOUN
gsjp-10033	87	56	that	that	PRON
gsjp-10033	87	57	contain	contain	VERB
gsjp-10033	87	58	mismatching	mismatching	ADJ
gsjp-10033	87	59	data	datum	NOUN
gsjp-10033	87	60	.	.	PUNCT
gsjp-10033	88	1	the	the	DET
gsjp-10033	88	2	output	output	NOUN
gsjp-10033	88	3	will	will	AUX
gsjp-10033	88	4	identify	identify	VERB
gsjp-10033	88	5	the	the	DET
gsjp-10033	88	6	location	location	NOUN
gsjp-10033	88	7	of	of	ADP
gsjp-10033	88	8	the	the	DET
gsjp-10033	88	9	mismatched	mismatched	ADJ
gsjp-10033	88	10	data	datum	NOUN
gsjp-10033	88	11	in	in	ADP
gsjp-10033	88	12	the	the	DET
gsjp-10033	88	13	dataset	dataset	NOUN
gsjp-10033	88	14	.	.	PUNCT
gsjp-10033	89	1	please	please	INTJ
gsjp-10033	89	2	note	note	VERB
gsjp-10033	89	3	that	that	SCONJ
gsjp-10033	89	4	the	the	DET
gsjp-10033	89	5	datasets	dataset	NOUN
gsjp-10033	89	6	will	will	AUX
gsjp-10033	89	7	remain	remain	VERB
gsjp-10033	89	8	separate	separate	ADJ
gsjp-10033	89	9	.	.	PUNCT
gsjp-10033	90	1	step	step	NOUN
gsjp-10033	90	2	1	1	NUM
gsjp-10033	90	3	uses	use	VERB
gsjp-10033	90	4	pointand	pointand	VERB
gsjp-10033	90	5	-	-	PUNCT
gsjp-10033	90	6	click	click	VERB
gsjp-10033	90	7	to	to	PART
gsjp-10033	90	8	run	run	VERB
gsjp-10033	90	9	the	the	DET
gsjp-10033	90	10	compare	compare	NOUN
gsjp-10033	90	11	datasets	dataset	NOUN
gsjp-10033	90	12	command	command	NOUN
gsjp-10033	90	13	(	(	PUNCT
gsjp-10033	90	14	which	which	PRON
gsjp-10033	90	15	can	can	AUX
gsjp-10033	90	16	be	be	AUX
gsjp-10033	90	17	found	find	VERB
gsjp-10033	90	18	under	under	ADP
gsjp-10033	90	19	the	the	DET
gsjp-10033	90	20	data	datum	NOUN
gsjp-10033	90	21	menu	menu	NOUN
gsjp-10033	90	22	)	)	PUNCT
gsjp-10033	90	23	.	.	PUNCT
gsjp-10033	91	1	before	before	ADP
gsjp-10033	91	2	running	run	VERB
gsjp-10033	91	3	the	the	DET
gsjp-10033	91	4	command	command	NOUN
gsjp-10033	91	5	,	,	PUNCT
gsjp-10033	91	6	make	make	VERB
gsjp-10033	91	7	the	the	DET
gsjp-10033	91	8	following	follow	VERB
gsjp-10033	91	9	point	point	NOUN
gsjp-10033	91	10	-	-	PUNCT
gsjp-10033	91	11	and	and	CCONJ
gsjp-10033	91	12	-	-	PUNCT
gsjp-10033	91	13	click	click	NOUN
gsjp-10033	91	14	changes	change	NOUN
gsjp-10033	91	15	.	.	PUNCT
gsjp-10033	92	1	in	in	ADP
gsjp-10033	92	2	the	the	DET
gsjp-10033	92	3	“	"	PUNCT
gsjp-10033	92	4	compare	compare	NOUN
gsjp-10033	92	5	”	"	PUNCT
gsjp-10033	92	6	tab	tab	NOUN
gsjp-10033	92	7	,	,	PUNCT
gsjp-10033	92	8	put	put	VERB
gsjp-10033	92	9	the	the	DET
gsjp-10033	92	10	i	i	PROPN
gsjp-10033	92	11	d	d	PROPN
gsjp-10033	92	12	variable	variable	NOUN
gsjp-10033	92	13	in	in	ADP
gsjp-10033	92	14	case	case	NOUN
gsjp-10033	92	15	ids	id	NOUN
gsjp-10033	92	16	,	,	PUNCT
gsjp-10033	92	17	and	and	CCONJ
gsjp-10033	92	18	put	put	VERB
gsjp-10033	92	19	all	all	DET
gsjp-10033	92	20	“	"	PUNCT
gsjp-10033	92	21	matched	match	VERB
gsjp-10033	92	22	fields	field	NOUN
gsjp-10033	92	23	”	"	PUNCT
gsjp-10033	92	24	into	into	ADP
gsjp-10033	92	25	“	"	PUNCT
gsjp-10033	92	26	fields	field	NOUN
gsjp-10033	92	27	to	to	PART
gsjp-10033	92	28	compare	compare	VERB
gsjp-10033	92	29	.	.	PUNCT
gsjp-10033	92	30	”	"	PUNCT
gsjp-10033	93	1	in	in	ADP
gsjp-10033	93	2	the	the	DET
gsjp-10033	93	3	“	"	PUNCT
gsjp-10033	93	4	attributes	attributes	PROPN
gsjp-10033	93	5	”	"	PUNCT
gsjp-10033	93	6	tab	tab	NOUN
gsjp-10033	93	7	,	,	PUNCT
gsjp-10033	93	8	select	select	ADJ
gsjp-10033	93	9	“	"	PUNCT
gsjp-10033	93	10	do	do	AUX
gsjp-10033	93	11	not	not	PART
gsjp-10033	93	12	compare	compare	VERB
gsjp-10033	93	13	the	the	DET
gsjp-10033	93	14	data	datum	NOUN
gsjp-10033	93	15	dictionaries	dictionary	NOUN
gsjp-10033	93	16	.	.	PUNCT
gsjp-10033	93	17	”	"	PUNCT
gsjp-10033	94	1	2ǿ	2ǿ	NUM
gsjp-10033	94	2	�	�	PROPN
gsjp-10033	94	3	ƞǧǔ	ƞǧǔ	PROPN
gsjp-10033	94	4	�	�	PROPN
gsjp-10033	94	5	৚kȣƞȓȣƞ৛	৚kȣƞȓȣƞ৛	SYM
gsjp-10033	94	6	�	�	PROPN
gsjp-10033	94	7	ƞƺlj	ƞƺlj	NOUN
gsjp-10033	94	8	�	�	PROPN
gsjp-10033	94	9	șǔǹǔljƞ	șǔǹǔljƞ	PROPN
gsjp-10033	94	10	�	�	PROPN
gsjp-10033	94	11	৚мƺǡ	৚мƺǡ	PROPN
gsjp-10033	94	12	�	�	PROPN
gsjp-10033	94	13	ǿǩșǿƺƞljǧǔș	ǿǩșǿƺƞljǧǔș	PROPN
gsjp-10033	94	14	�	�	PROPN
gsjp-10033	94	15	ǩǿ	ǩǿ	NOUN
gsjp-10033	94	16	�	�	PROPN
gsjp-10033	94	17	ƺ	ƺ	NOUN
gsjp-10033	94	18	�	�	PROPN
gsjp-10033	94	19	ǿǔλ	ǿǔλ	PROPN
gsjp-10033	94	20	�	�	PROPN
gsjp-10033	94	21	йǔǹǐ৛	йǔǹǐ৛	PROPN
gsjp-10033	94	22	�	�	PROPN
gsjp-10033	94	23	ƺǿǐ	ƺǿǐ	PROPN
gsjp-10033	94	24	�	�	PROPN
gsjp-10033	94	25	ǿƺǿǔ	ǿƺǿǔ	PROPN
gsjp-10033	94	26	�	�	PROPN
gsjp-10033	94	27	ƞǧǔ	ƞǧǔ	PROPN
gsjp-10033	94	28	�	�	PROPN
gsjp-10033	94	29	ǿǔλ	ǿǔλ	PROPN
gsjp-10033	94	30	�	�	PROPN
gsjp-10033	94	31	κƺȗǩƺljǹǔ	κƺȗǩƺljǹǔ	PROPN
gsjp-10033	94	32	�	�	PROPN
gsjp-10033	94	33	λǧƺƞ	λǧƺƞ	NOUN
gsjp-10033	94	34	�	�	PROPN
gsjp-10033	94	35	ρȅȣ	ρȅȣ	NOUN
gsjp-10033	94	36	�	�	PROPN
gsjp-10033	94	37	λǩșǧ	λǩșǧ	PROPN
gsjp-10033	94	38	�	�	PROPN
gsjp-10033	94	39	শλǔ	শλǔ	PROPN
gsjp-10033	94	40	�	�	PROPN
gsjp-10033	94	41	used	use	VERB
gsjp-10033	94	42	“	"	PUNCT
gsjp-10033	94	43	mismatches	mismatch	NOUN
gsjp-10033	94	44	”	"	PUNCT
gsjp-10033	94	45	)	)	PUNCT
gsjp-10033	94	46	.	.	PUNCT
gsjp-10033	95	1	also	also	ADV
gsjp-10033	95	2	,	,	PUNCT
gsjp-10033	95	3	in	in	ADP
gsjp-10033	95	4	the	the	DET
gsjp-10033	95	5	“	"	PUNCT
gsjp-10033	95	6	output	output	NOUN
gsjp-10033	95	7	”	"	PUNCT
gsjp-10033	95	8	tab	tab	NOUN
gsjp-10033	95	9	,	,	PUNCT
gsjp-10033	95	10	unselect	unselect	ADJ
gsjp-10033	95	11	“	"	PUNCT
gsjp-10033	95	12	limit	limit	VERB
gsjp-10033	95	13	the	the	DET
gsjp-10033	95	14	case	case	NOUN
gsjp-10033	95	15	-	-	PUNCT
gsjp-10033	95	16	by	by	ADP
gsjp-10033	95	17	-	-	PUNCT
gsjp-10033	95	18	case	case	NOUN
gsjp-10033	95	19	table	table	NOUN
gsjp-10033	95	20	.	.	PUNCT
gsjp-10033	95	21	”	"	PUNCT
gsjp-10033	96	1	click	click	VERB
gsjp-10033	96	2	“	"	PUNCT
gsjp-10033	96	3	paste	paste	NOUN
gsjp-10033	96	4	”	"	PUNCT
gsjp-10033	96	5	and	and	CCONJ
gsjp-10033	96	6	run	run	VERB
gsjp-10033	96	7	the	the	DET
gsjp-10033	96	8	resulting	result	VERB
gsjp-10033	96	9	syntax	syntax	NOUN
gsjp-10033	96	10	on	on	ADP
gsjp-10033	96	11	dataset	dataset	NOUN
gsjp-10033	96	12	1	1	NUM
gsjp-10033	96	13	.	.	PUNCT
gsjp-10033	97	1	see	see	VERB
gsjp-10033	97	2	figures	figure	NOUN
gsjp-10033	97	3	2a	2a	NUM
gsjp-10033	97	4	and	and	CCONJ
gsjp-10033	97	5	2b	2b	NUM
gsjp-10033	97	6	for	for	ADP
gsjp-10033	97	7	example	example	NOUN
gsjp-10033	97	8	datasets	dataset	NOUN
gsjp-10033	97	9	1	1	NUM
gsjp-10033	97	10	and	and	CCONJ
gsjp-10033	97	11	2	2	NUM
gsjp-10033	97	12	after	after	ADP
gsjp-10033	97	13	step	step	NOUN
gsjp-10033	97	14	1	1	NUM
gsjp-10033	97	15	as	as	ADV
gsjp-10033	97	16	well	well	ADV
gsjp-10033	97	17	as	as	ADP
gsjp-10033	97	18	an	an	DET
gsjp-10033	97	19	example	example	NOUN
gsjp-10033	97	20	output	output	NOUN
gsjp-10033	97	21	after	after	ADP
gsjp-10033	97	22	step	step	NOUN
gsjp-10033	97	23	1	1	NUM
gsjp-10033	97	24	.	.	PUNCT
gsjp-10033	98	1	audette	audette	VERB
gsjp-10033	98	2	et	et	PROPN
gsjp-10033	98	3	al	al	PROPN
gsjp-10033	98	4	.	.	PROPN
gsjp-10033	98	5	figure	figure	NOUN
gsjp-10033	98	6	1	1	NUM
gsjp-10033	98	7	:	:	PUNCT
gsjp-10033	98	8	simple	simple	ADJ
gsjp-10033	98	9	datasets	dataset	NOUN
gsjp-10033	98	10	pre	pre	NOUN
gsjp-10033	98	11	-	-	NOUN
gsjp-10033	98	12	combination	combination	NOUN
gsjp-10033	98	13	.	.	PUNCT
gsjp-10033	99	1	this	this	PRON
gsjp-10033	99	2	is	be	AUX
gsjp-10033	99	3	a	a	DET
gsjp-10033	99	4	simple	simple	ADJ
gsjp-10033	99	5	example	example	NOUN
gsjp-10033	99	6	of	of	ADP
gsjp-10033	99	7	two	two	NUM
gsjp-10033	99	8	separate	separate	ADJ
gsjp-10033	99	9	,	,	PUNCT
gsjp-10033	99	10	mismatched	mismatched	ADJ
gsjp-10033	99	11	datasets	dataset	NOUN
gsjp-10033	99	12	.	.	PUNCT
gsjp-10033	100	1	9	9	NUM
gsjp-10033	100	2	step	step	NOUN
gsjp-10033	100	3	2	2	NUM
gsjp-10033	100	4	:	:	PUNCT
gsjp-10033	100	5	merging	merge	VERB
gsjp-10033	100	6	variables	variable	NOUN
gsjp-10033	100	7	and	and	CCONJ
gsjp-10033	100	8	cases	case	NOUN
gsjp-10033	100	9	into	into	ADP
gsjp-10033	100	10	one	one	NUM
gsjp-10033	100	11	dataset	dataset	NOUN
gsjp-10033	100	12	and	and	CCONJ
gsjp-10033	100	13	identifying	identify	VERB
gsjp-10033	100	14	cases	case	NOUN
gsjp-10033	100	15	by	by	ADP
gsjp-10033	100	16	dataset	dataset	ADJ
gsjp-10033	100	17	step	step	NOUN
gsjp-10033	100	18	2	2	NUM
gsjp-10033	100	19	merges	merge	VERB
gsjp-10033	100	20	all	all	DET
gsjp-10033	100	21	variables	variable	NOUN
gsjp-10033	100	22	and	and	CCONJ
gsjp-10033	100	23	cases	case	NOUN
gsjp-10033	100	24	into	into	ADP
gsjp-10033	100	25	dataset	dataset	NOUN
gsjp-10033	100	26	1	1	NUM
gsjp-10033	100	27	.	.	PUNCT
gsjp-10033	100	28	from	from	ADP
gsjp-10033	100	29	dataset	dataset	NOUN
gsjp-10033	100	30	1	1	NUM
gsjp-10033	100	31	,	,	PUNCT
gsjp-10033	100	32	select	select	ADJ
gsjp-10033	100	33	merge	merge	NOUN
gsjp-10033	100	34	files	file	NOUN
gsjp-10033	100	35	then	then	ADV
gsjp-10033	100	36	add	add	VERB
gsjp-10033	100	37	cases	case	NOUN
gsjp-10033	100	38	command	command	NOUN
gsjp-10033	100	39	.	.	PUNCT
gsjp-10033	101	1	this	this	PRON
gsjp-10033	101	2	is	be	AUX
gsjp-10033	101	3	also	also	ADV
gsjp-10033	101	4	found	find	VERB
gsjp-10033	101	5	in	in	ADP
gsjp-10033	101	6	the	the	DET
gsjp-10033	101	7	data	data	NOUN
gsjp-10033	101	8	menu	menu	NOUN
gsjp-10033	101	9	.	.	PUNCT
gsjp-10033	102	1	before	before	ADP
gsjp-10033	102	2	running	run	VERB
gsjp-10033	102	3	the	the	DET
gsjp-10033	102	4	command	command	NOUN
gsjp-10033	102	5	,	,	PUNCT
gsjp-10033	102	6	make	make	VERB
gsjp-10033	102	7	the	the	DET
gsjp-10033	102	8	following	follow	VERB
gsjp-10033	102	9	point	point	NOUN
gsjp-10033	102	10	-	-	PUNCT
gsjp-10033	102	11	and	and	CCONJ
gsjp-10033	102	12	-	-	PUNCT
gsjp-10033	102	13	click	click	NOUN
gsjp-10033	102	14	changes	change	NOUN
gsjp-10033	102	15	.	.	PUNCT
gsjp-10033	103	1	put	put	VERB
gsjp-10033	103	2	all	all	DET
gsjp-10033	103	3	“	"	PUNCT
gsjp-10033	103	4	unpaired	unpaired	ADJ
gsjp-10033	103	5	variables	variable	NOUN
gsjp-10033	103	6	”	"	PUNCT
gsjp-10033	103	7	in	in	ADP
gsjp-10033	103	8	“	"	PUNCT
gsjp-10033	103	9	variables	variable	NOUN
gsjp-10033	103	10	in	in	ADP
gsjp-10033	103	11	new	new	ADJ
gsjp-10033	103	12	active	active	ADJ
gsjp-10033	103	13	dataset	dataset	NOUN
gsjp-10033	103	14	.	.	PUNCT
gsjp-10033	103	15	”	"	PUNCT
gsjp-10033	104	1	as	as	SCONJ
gsjp-10033	104	2	needed	need	VERB
gsjp-10033	104	3	,	,	PUNCT
gsjp-10033	104	4	manually	manually	ADV
gsjp-10033	104	5	pair	pair	VERB
gsjp-10033	104	6	variables	variable	NOUN
gsjp-10033	104	7	from	from	ADP
gsjp-10033	104	8	the	the	DET
gsjp-10033	104	9	two	two	NUM
gsjp-10033	104	10	original	original	ADJ
gsjp-10033	104	11	datasets	dataset	NOUN
gsjp-10033	104	12	.	.	PUNCT
gsjp-10033	105	1	select	select	ADJ
gsjp-10033	105	2	“	"	PUNCT
gsjp-10033	105	3	indicate	indicate	VERB
gsjp-10033	105	4	case	case	NOUN
gsjp-10033	105	5	source	source	NOUN
gsjp-10033	105	6	as	as	ADP
gsjp-10033	105	7	variable	variable	NOUN
gsjp-10033	105	8	”	"	PUNCT
gsjp-10033	105	9	and	and	CCONJ
gsjp-10033	105	10	name	name	VERB
gsjp-10033	105	11	the	the	DET
gsjp-10033	105	12	new	new	ADJ
gsjp-10033	105	13	variable	variable	NOUN
gsjp-10033	105	14	that	that	PRON
gsjp-10033	105	15	you	you	PRON
gsjp-10033	105	16	wish	wish	VERB
gsjp-10033	105	17	to	to	PART
gsjp-10033	105	18	use	use	VERB
gsjp-10033	105	19	(	(	PUNCT
gsjp-10033	105	20	we	we	PRON
gsjp-10033	105	21	used	use	VERB
gsjp-10033	105	22	“	"	PUNCT
gsjp-10033	105	23	sourcedataset2	sourcedataset2	PROPN
gsjp-10033	105	24	”	"	PUNCT
gsjp-10033	105	25	)	)	PUNCT
gsjp-10033	105	26	.	.	PUNCT
gsjp-10033	106	1	click	click	VERB
gsjp-10033	106	2	“	"	PUNCT
gsjp-10033	106	3	paste	paste	NOUN
gsjp-10033	106	4	”	"	PUNCT
gsjp-10033	106	5	and	and	CCONJ
gsjp-10033	106	6	run	run	VERB
gsjp-10033	106	7	the	the	DET
gsjp-10033	106	8	resulting	result	VERB
gsjp-10033	106	9	syntax	syntax	NOUN
gsjp-10033	106	10	on	on	ADP
gsjp-10033	106	11	dataset	dataset	NOUN
gsjp-10033	106	12	1	1	NUM
gsjp-10033	106	13	.	.	PUNCT
gsjp-10033	107	1	this	this	DET
gsjp-10033	107	2	step	step	NOUN
gsjp-10033	107	3	will	will	AUX
gsjp-10033	107	4	add	add	VERB
gsjp-10033	107	5	all	all	DET
gsjp-10033	107	6	variables	variable	NOUN
gsjp-10033	107	7	and	and	CCONJ
gsjp-10033	107	8	all	all	DET
gsjp-10033	107	9	cases	case	NOUN
gsjp-10033	107	10	to	to	PART
gsjp-10033	107	11	dataset	dataset	NOUN
gsjp-10033	107	12	1	1	NUM
gsjp-10033	107	13	.	.	PUNCT
gsjp-10033	108	1	it	it	PRON
gsjp-10033	108	2	will	will	AUX
gsjp-10033	108	3	also	also	ADV
gsjp-10033	108	4	identify	identify	VERB
gsjp-10033	108	5	which	which	DET
gsjp-10033	108	6	cases	case	NOUN
gsjp-10033	108	7	come	come	VERB
gsjp-10033	108	8	from	from	ADP
gsjp-10033	108	9	dataset	dataset	NOUN
gsjp-10033	108	10	1	1	NUM
gsjp-10033	108	11	or	or	CCONJ
gsjp-10033	108	12	dataset	dataset	VERB
gsjp-10033	108	13	2	2	NUM
gsjp-10033	108	14	in	in	ADP
gsjp-10033	108	15	the	the	DET
gsjp-10033	108	16	newly	newly	ADV
gsjp-10033	108	17	created	create	VERB
gsjp-10033	108	18	variable	variable	NOUN
gsjp-10033	108	19	.	.	PUNCT
gsjp-10033	109	1	see	see	VERB
gsjp-10033	109	2	figure	figure	NOUN
gsjp-10033	109	3	3	3	NUM
gsjp-10033	109	4	for	for	ADP
gsjp-10033	109	5	the	the	DET
gsjp-10033	109	6	example	example	NOUN
gsjp-10033	109	7	dataset	dataset	VERB
gsjp-10033	109	8	1	1	NUM
gsjp-10033	109	9	after	after	ADP
gsjp-10033	109	10	step	step	NOUN
gsjp-10033	109	11	2	2	NUM
gsjp-10033	109	12	.	.	PUNCT
gsjp-10033	110	1	after	after	ADP
gsjp-10033	110	2	completing	complete	VERB
gsjp-10033	110	3	this	this	DET
gsjp-10033	110	4	step	step	NOUN
gsjp-10033	110	5	,	,	PUNCT
gsjp-10033	110	6	it	it	PRON
gsjp-10033	110	7	may	may	AUX
gsjp-10033	110	8	be	be	AUX
gsjp-10033	110	9	helpful	helpful	ADJ
gsjp-10033	110	10	to	to	PART
gsjp-10033	110	11	label	label	VERB
gsjp-10033	110	12	the	the	DET
gsjp-10033	110	13	values	value	NOUN
gsjp-10033	110	14	of	of	ADP
gsjp-10033	110	15	this	this	DET
gsjp-10033	110	16	new	new	ADJ
gsjp-10033	110	17	variable	variable	NOUN
gsjp-10033	110	18	,	,	PUNCT
gsjp-10033	110	19	the	the	DET
gsjp-10033	110	20	syntax	syntax	NOUN
gsjp-10033	110	21	for	for	ADP
gsjp-10033	110	22	which	which	PRON
gsjp-10033	110	23	can	can	AUX
gsjp-10033	110	24	be	be	AUX
gsjp-10033	110	25	found	find	VERB
gsjp-10033	110	26	in	in	ADP
gsjp-10033	110	27	appendix	appendix	ADJ
gsjp-10033	110	28	a.	a.	NOUN
gsjp-10033	110	29	a	a	DET
gsjp-10033	110	30	value	value	NOUN
gsjp-10033	110	31	of	of	ADP
gsjp-10033	110	32	1	1	NUM
gsjp-10033	110	33	indicates	indicate	VERB
gsjp-10033	110	34	that	that	SCONJ
gsjp-10033	110	35	a	a	DET
gsjp-10033	110	36	case	case	NOUN
gsjp-10033	110	37	originates	originate	NOUN
gsjp-10033	110	38	from	from	ADP
gsjp-10033	110	39	dataset2	dataset2	NOUN
gsjp-10033	110	40	while	while	SCONJ
gsjp-10033	110	41	a	a	DET
gsjp-10033	110	42	value	value	NOUN
gsjp-10033	110	43	of	of	ADP
gsjp-10033	110	44	0	0	NUM
gsjp-10033	110	45	indicates	indicate	VERB
gsjp-10033	110	46	that	that	SCONJ
gsjp-10033	110	47	a	a	DET
gsjp-10033	110	48	case	case	NOUN
gsjp-10033	110	49	originates	originate	NOUN
gsjp-10033	110	50	from	from	ADP
gsjp-10033	110	51	dataset	dataset	ADJ
gsjp-10033	110	52	1	1	NUM
gsjp-10033	110	53	.	.	PUNCT
gsjp-10033	110	54	step	step	NOUN
gsjp-10033	110	55	3	3	NUM
gsjp-10033	110	56	:	:	PUNCT
gsjp-10033	110	57	identifying	identify	VERB
gsjp-10033	110	58	mismatches	mismatch	NOUN
gsjp-10033	110	59	,	,	PUNCT
gsjp-10033	110	60	matches	match	NOUN
gsjp-10033	110	61	,	,	PUNCT
gsjp-10033	110	62	and	and	CCONJ
gsjp-10033	110	63	unique	unique	ADJ
gsjp-10033	110	64	cases	case	NOUN
gsjp-10033	110	65	within	within	ADP
gsjp-10033	110	66	dataset	dataset	NOUN
gsjp-10033	110	67	1	1	NUM
gsjp-10033	110	68	step	step	NOUN
gsjp-10033	110	69	3	3	NUM
gsjp-10033	110	70	duplicates	duplicate	VERB
gsjp-10033	110	71	the	the	DET
gsjp-10033	110	72	variable	variable	NOUN
gsjp-10033	110	73	created	create	VERB
gsjp-10033	110	74	in	in	ADP
gsjp-10033	110	75	step	step	NOUN
gsjp-10033	110	76	1	1	NUM
gsjp-10033	110	77	,	,	PUNCT
gsjp-10033	110	78	which	which	DET
gsjp-10033	110	79	ǩǐǔǿƞǩйǔș	ǩǐǔǿƞǩйǔș	NOUN
gsjp-10033	110	80	�	�	PROPN
gsjp-10033	110	81	ǿǩșǿƺƞljǧǩǿǡॹ	ǿǩșǿƺƞljǧǩǿǡॹ	PROPN
gsjp-10033	110	82	�	�	PROPN
gsjp-10033	110	83	ǿƺƞljǧǩǿǡॹ	ǿƺƞljǧǩǿǡॹ	PROPN
gsjp-10033	110	84	�	�	PROPN
gsjp-10033	110	85	ƺǿǐ	ƺǿǐ	PROPN
gsjp-10033	110	86	�	�	PROPN
gsjp-10033	110	87	ȣǿǩȕȣǔ	ȣǿǩȕȣǔ	PROPN
gsjp-10033	110	88	�	�	PROPN
gsjp-10033	110	89	ljƺșǔș	ljƺșǔș	NOUN
gsjp-10033	110	90	�	�	PROPN
gsjp-10033	110	91	present	present	ADJ
gsjp-10033	110	92	in	in	ADP
gsjp-10033	110	93	dataset	dataset	NOUN
gsjp-10033	110	94	1	1	NUM
gsjp-10033	110	95	.	.	PUNCT
gsjp-10033	111	1	the	the	DET
gsjp-10033	111	2	duplicated	duplicate	VERB
gsjp-10033	111	3	variable	variable	NOUN
gsjp-10033	111	4	is	be	AUX
gsjp-10033	111	5	the	the	DET
gsjp-10033	111	6	one	one	NOUN
gsjp-10033	111	7	that	that	PRON
gsjp-10033	111	8	will	will	AUX
gsjp-10033	111	9	be	be	AUX
gsjp-10033	111	10	manipulated	manipulate	VERB
gsjp-10033	111	11	in	in	ADP
gsjp-10033	111	12	steps	step	NOUN
gsjp-10033	111	13	4	4	NUM
gsjp-10033	111	14	and	and	CCONJ
gsjp-10033	111	15	5	5	NUM
gsjp-10033	111	16	.	.	NUM
gsjp-10033	112	1	step	step	NOUN
gsjp-10033	112	2	3	3	NUM
gsjp-10033	112	3	can	can	AUX
gsjp-10033	112	4	be	be	AUX
gsjp-10033	112	5	done	do	VERB
gsjp-10033	112	6	with	with	ADP
gsjp-10033	112	7	the	the	DET
gsjp-10033	112	8	syntax	syntax	NOUN
gsjp-10033	112	9	(	(	PUNCT
gsjp-10033	112	10	provided	provide	VERB
gsjp-10033	112	11	in	in	ADP
gsjp-10033	112	12	appendix	appendix	NOUN
gsjp-10033	112	13	a	a	PRON
gsjp-10033	112	14	)	)	PUNCT
gsjp-10033	112	15	using	use	VERB
gsjp-10033	112	16	your	your	PRON
gsjp-10033	112	17	preferred	preferred	ADJ
gsjp-10033	112	18	variable	variable	ADJ
gsjp-10033	112	19	names	name	NOUN
gsjp-10033	112	20	inserted	insert	VERB
gsjp-10033	112	21	(	(	PUNCT
gsjp-10033	112	22	we	we	PRON
gsjp-10033	112	23	used	use	VERB
gsjp-10033	112	24	“	"	PUNCT
gsjp-10033	112	25	casescompared	casescompared	ADJ
gsjp-10033	112	26	”	"	PUNCT
gsjp-10033	112	27	)	)	PUNCT
gsjp-10033	112	28	.	.	PUNCT
gsjp-10033	113	1	the	the	DET
gsjp-10033	113	2	resulting	result	VERB
gsjp-10033	113	3	duplicate	duplicate	ADJ
gsjp-10033	113	4	variable	variable	NOUN
gsjp-10033	113	5	only	only	ADV
gsjp-10033	113	6	encodes	encode	VERB
gsjp-10033	113	7	information	information	NOUN
gsjp-10033	113	8	about	about	ADP
gsjp-10033	113	9	matches	match	NOUN
gsjp-10033	113	10	,	,	PUNCT
gsjp-10033	113	11	mismatches	mismatch	NOUN
gsjp-10033	113	12	,	,	PUNCT
gsjp-10033	113	13	and	and	CCONJ
gsjp-10033	113	14	unique	unique	ADJ
gsjp-10033	113	15	dataset	dataset	VERB
gsjp-10033	113	16	1	1	NUM
gsjp-10033	113	17	cases	case	NOUN
gsjp-10033	113	18	for	for	ADP
gsjp-10033	113	19	those	those	DET
gsjp-10033	113	20	cases	case	NOUN
gsjp-10033	113	21	from	from	ADP
gsjp-10033	113	22	dataset	dataset	NOUN
gsjp-10033	113	23	1	1	NUM
gsjp-10033	113	24	.	.	PUNCT
gsjp-10033	114	1	the	the	DET
gsjp-10033	114	2	duplicated	duplicate	VERB
gsjp-10033	114	3	variable	variable	NOUN
gsjp-10033	114	4	contains	contain	VERB
gsjp-10033	114	5	no	no	DET
gsjp-10033	114	6	information	information	NOUN
gsjp-10033	114	7	for	for	ADP
gsjp-10033	114	8	cases	case	NOUN
gsjp-10033	114	9	added	add	VERB
gsjp-10033	114	10	from	from	ADP
gsjp-10033	114	11	dataset	dataset	NOUN
gsjp-10033	114	12	2	2	NUM
gsjp-10033	114	13	,	,	PUNCT
gsjp-10033	114	14	a	a	DET
gsjp-10033	114	15	problem	problem	NOUN
gsjp-10033	114	16	that	that	PRON
gsjp-10033	114	17	will	will	AUX
gsjp-10033	114	18	be	be	AUX
gsjp-10033	114	19	addressed	address	VERB
gsjp-10033	114	20	in	in	ADP
gsjp-10033	114	21	step	step	NOUN
gsjp-10033	114	22	4	4	NUM
gsjp-10033	114	23	and	and	CCONJ
gsjp-10033	114	24	step	step	NOUN
gsjp-10033	114	25	5	5	NUM
gsjp-10033	114	26	.	.	PUNCT
gsjp-10033	115	1	see	see	VERB
gsjp-10033	115	2	figure	figure	NOUN
gsjp-10033	115	3	4	4	NUM
gsjp-10033	115	4	for	for	ADP
gsjp-10033	115	5	the	the	DET
gsjp-10033	115	6	example	example	NOUN
gsjp-10033	115	7	dataset	dataset	VERB
gsjp-10033	115	8	1	1	NUM
gsjp-10033	115	9	after	after	ADP
gsjp-10033	115	10	step	step	NOUN
gsjp-10033	115	11	3	3	NUM
gsjp-10033	115	12	.	.	PUNCT
gsjp-10033	116	1	once	once	ADV
gsjp-10033	116	2	again	again	ADV
gsjp-10033	116	3	,	,	PUNCT
gsjp-10033	116	4	we	we	PRON
gsjp-10033	116	5	suggest	suggest	VERB
gsjp-10033	116	6	labeling	label	VERB
gsjp-10033	116	7	the	the	DET
gsjp-10033	116	8	values	value	NOUN
gsjp-10033	116	9	of	of	ADP
gsjp-10033	116	10	this	this	DET
gsjp-10033	116	11	new	new	ADJ
gsjp-10033	116	12	variable	variable	NOUN
gsjp-10033	116	13	.	.	PUNCT
gsjp-10033	117	1	a	a	DET
gsjp-10033	117	2	value	value	NOUN
gsjp-10033	117	3	of	of	ADP
gsjp-10033	117	4	1	1	NUM
gsjp-10033	117	5	in	in	ADP
gsjp-10033	117	6	merging	merge	VERB
gsjp-10033	117	7	multiple	multiple	ADJ
gsjp-10033	117	8	and/or	and/or	CCONJ
gsjp-10033	117	9	divergent	divergent	ADJ
gsjp-10033	117	10	datasets	dataset	NOUN
gsjp-10033	117	11	in	in	ADP
gsjp-10033	117	12	spss	spss	PROPN
gsjp-10033	117	13	figure	figure	NOUN
gsjp-10033	117	14	2a	2a	NUM
gsjp-10033	117	15	:	:	PUNCT
gsjp-10033	117	16	simple	simple	ADJ
gsjp-10033	117	17	mismatched	mismatch	VERB
gsjp-10033	117	18	datasets	dataset	NOUN
gsjp-10033	117	19	in	in	ADP
gsjp-10033	117	20	spss	spss	PROPN
gsjp-10033	117	21	after	after	ADP
gsjp-10033	117	22	step	step	NOUN
gsjp-10033	117	23	1	1	NUM
gsjp-10033	117	24	.	.	PUNCT
gsjp-10033	118	1	this	this	PRON
gsjp-10033	118	2	is	be	AUX
gsjp-10033	118	3	an	an	DET
gsjp-10033	118	4	example	example	NOUN
gsjp-10033	118	5	of	of	ADP
gsjp-10033	118	6	what	what	PRON
gsjp-10033	118	7	the	the	DET
gsjp-10033	118	8	new	new	ADJ
gsjp-10033	118	9	variable	variable	NOUN
gsjp-10033	118	10	created	create	VERB
gsjp-10033	118	11	via	via	ADP
gsjp-10033	118	12	step	step	NOUN
gsjp-10033	118	13	1	1	NUM
gsjp-10033	118	14	would	would	AUX
gsjp-10033	118	15	look	look	VERB
gsjp-10033	118	16	like	like	SCONJ
gsjp-10033	118	17	once	once	ADV
gsjp-10033	118	18	added	add	VERB
gsjp-10033	118	19	.	.	PUNCT
gsjp-10033	119	1	figure	figure	NOUN
gsjp-10033	119	2	2b	2b	NOUN
gsjp-10033	119	3	:	:	PUNCT
gsjp-10033	119	4	example	example	NOUN
gsjp-10033	119	5	step	step	NOUN
gsjp-10033	119	6	1	1	NUM
gsjp-10033	119	7	output	output	NOUN
gsjp-10033	119	8	.	.	PUNCT
gsjp-10033	120	1	this	this	PRON
gsjp-10033	120	2	is	be	AUX
gsjp-10033	120	3	an	an	DET
gsjp-10033	120	4	example	example	NOUN
gsjp-10033	120	5	of	of	ADP
gsjp-10033	120	6	the	the	DET
gsjp-10033	120	7	output	output	NOUN
gsjp-10033	120	8	that	that	PRON
gsjp-10033	120	9	would	would	AUX
gsjp-10033	120	10	be	be	AUX
gsjp-10033	120	11	generated	generate	VERB
gsjp-10033	120	12	after	after	ADP
gsjp-10033	120	13	completing	complete	VERB
gsjp-10033	120	14	step	step	NOUN
gsjp-10033	120	15	1	1	NUM
gsjp-10033	120	16	which	which	PRON
gsjp-10033	120	17	provides	provide	VERB
gsjp-10033	120	18	a	a	DET
gsjp-10033	120	19	summary	summary	NOUN
gsjp-10033	120	20	of	of	ADP
gsjp-10033	120	21	case	case	NOUN
gsjp-10033	120	22	comparisons	comparison	NOUN
gsjp-10033	120	23	between	between	ADP
gsjp-10033	120	24	the	the	DET
gsjp-10033	120	25	two	two	NUM
gsjp-10033	120	26	datasets	dataset	NOUN
gsjp-10033	120	27	.	.	PUNCT
gsjp-10033	121	1	figure	figure	VERB
gsjp-10033	121	2	3	3	NUM
gsjp-10033	121	3	:	:	PUNCT
gsjp-10033	121	4	spss	spss	PROPN
gsjp-10033	121	5	data	data	PROPN
gsjp-10033	121	6	view	view	NOUN
gsjp-10033	121	7	after	after	ADP
gsjp-10033	121	8	step	step	NOUN
gsjp-10033	121	9	2	2	NUM
gsjp-10033	121	10	.	.	PUNCT
gsjp-10033	122	1	this	this	PRON
gsjp-10033	122	2	is	be	AUX
gsjp-10033	122	3	an	an	DET
gsjp-10033	122	4	example	example	NOUN
gsjp-10033	122	5	of	of	ADP
gsjp-10033	122	6	the	the	DET
gsjp-10033	122	7	variables	variable	NOUN
gsjp-10033	122	8	added	add	VERB
gsjp-10033	122	9	after	after	ADP
gsjp-10033	122	10	step	step	NOUN
gsjp-10033	122	11	2	2	NUM
gsjp-10033	122	12	which	which	PRON
gsjp-10033	122	13	includes	include	VERB
gsjp-10033	122	14	all	all	DET
gsjp-10033	122	15	variables	variable	NOUN
gsjp-10033	122	16	existing	exist	VERB
gsjp-10033	122	17	in	in	ADP
gsjp-10033	122	18	dataset	dataset	NOUN
gsjp-10033	122	19	2	2	NUM
gsjp-10033	122	20	that	that	PRON
gsjp-10033	122	21	do	do	AUX
gsjp-10033	122	22	not	not	PART
gsjp-10033	122	23	exist	exist	VERB
gsjp-10033	122	24	in	in	ADP
gsjp-10033	122	25	dataset	dataset	NOUN
gsjp-10033	122	26	1	1	NUM
gsjp-10033	122	27	and	and	CCONJ
gsjp-10033	122	28	a	a	DET
gsjp-10033	122	29	new	new	ADJ
gsjp-10033	122	30	variable	variable	NOUN
gsjp-10033	122	31	that	that	PRON
gsjp-10033	122	32	ǩǐǔǿƞǩйǔș	ǩǐǔǿƞǩйǔș	PROPN
gsjp-10033	122	33	�	�	PROPN
gsjp-10033	122	34	ƞǧǔ	ƞǧǔ	PROPN
gsjp-10033	122	35	�	�	PROPN
gsjp-10033	122	36	șȅȣȗljǔ	șȅȣȗljǔ	PROPN
gsjp-10033	122	37	�	�	PROPN
gsjp-10033	122	38	ȅǟ	ȅǟ	PROPN
gsjp-10033	122	39	�	�	PROPN
gsjp-10033	122	40	ǔƺljǧ	ǔƺljǧ	PROPN
gsjp-10033	122	41	�	�	PROPN
gsjp-10033	122	42	ljƺșǔঀ	ljƺșǔঀ	PROPN
gsjp-10033	122	43	10	10	NUM
gsjp-10033	122	44	dicates	dicate	VERB
gsjp-10033	122	45	a	a	DET
gsjp-10033	122	46	mismatch	mismatch	NOUN
gsjp-10033	122	47	between	between	ADP
gsjp-10033	122	48	both	both	DET
gsjp-10033	122	49	datasets	dataset	NOUN
gsjp-10033	122	50	,	,	PUNCT
gsjp-10033	122	51	0	0	NUM
gsjp-10033	122	52	represents	represent	VERB
gsjp-10033	122	53	a	a	DET
gsjp-10033	122	54	match	match	NOUN
gsjp-10033	122	55	in	in	ADP
gsjp-10033	122	56	both	both	DET
gsjp-10033	122	57	datasets	dataset	NOUN
gsjp-10033	122	58	,	,	PUNCT
gsjp-10033	122	59	and	and	CCONJ
gsjp-10033	122	60	-1	-1	ADV
gsjp-10033	122	61	indicates	indicate	VERB
gsjp-10033	122	62	that	that	SCONJ
gsjp-10033	122	63	a	a	DET
gsjp-10033	122	64	case	case	NOUN
gsjp-10033	122	65	is	be	AUX
gsjp-10033	122	66	unique	unique	ADJ
gsjp-10033	122	67	to	to	ADP
gsjp-10033	122	68	dataset1	dataset1	PROPN
gsjp-10033	122	69	.	.	PUNCT
gsjp-10033	123	1	the	the	DET
gsjp-10033	123	2	syntax	syntax	NOUN
gsjp-10033	123	3	for	for	ADP
gsjp-10033	123	4	creating	create	VERB
gsjp-10033	123	5	these	these	DET
gsjp-10033	123	6	labels	label	NOUN
gsjp-10033	123	7	can	can	AUX
gsjp-10033	123	8	be	be	AUX
gsjp-10033	123	9	found	find	VERB
gsjp-10033	123	10	in	in	ADP
gsjp-10033	123	11	appendix	appendix	ADJ
gsjp-10033	123	12	a.	a.	NOUN
gsjp-10033	123	13	step	step	NOUN
gsjp-10033	123	14	4	4	NUM
gsjp-10033	123	15	:	:	PUNCT
gsjp-10033	123	16	labeling	labeling	NOUN
gsjp-10033	123	17	matches	match	NOUN
gsjp-10033	123	18	and	and	CCONJ
gsjp-10033	123	19	mismatches	mismatch	NOUN
gsjp-10033	123	20	from	from	ADP
gsjp-10033	123	21	dataset	dataset	ADJ
gsjp-10033	123	22	2	2	NUM
gsjp-10033	123	23	step	step	NOUN
gsjp-10033	123	24	4	4	NUM
gsjp-10033	123	25	uses	use	VERB
gsjp-10033	123	26	the	the	DET
gsjp-10033	123	27	syntax	syntax	NOUN
gsjp-10033	123	28	we	we	PRON
gsjp-10033	123	29	developed	develop	VERB
gsjp-10033	123	30	(	(	PUNCT
gsjp-10033	123	31	utilizing	utilize	VERB
gsjp-10033	123	32	the	the	DET
gsjp-10033	123	33	lag	lag	NOUN
gsjp-10033	123	34	function	function	NOUN
gsjp-10033	123	35	)	)	PUNCT
gsjp-10033	123	36	,	,	PUNCT
gsjp-10033	123	37	and	and	CCONJ
gsjp-10033	123	38	the	the	DET
gsjp-10033	123	39	variables	variable	NOUN
gsjp-10033	123	40	created	create	VERB
gsjp-10033	123	41	in	in	ADP
gsjp-10033	123	42	steps	step	NOUN
gsjp-10033	123	43	2	2	NUM
gsjp-10033	123	44	and	and	CCONJ
gsjp-10033	123	45	3	3	NUM
gsjp-10033	123	46	.	.	X
gsjp-10033	123	47	utilizing	utilize	VERB
gsjp-10033	123	48	the	the	DET
gsjp-10033	123	49	lag	lag	NOUN
gsjp-10033	123	50	function	function	NOUN
gsjp-10033	123	51	and	and	CCONJ
gsjp-10033	123	52	the	the	DET
gsjp-10033	123	53	“	"	PUNCT
gsjp-10033	123	54	sourcedataset2	sourcedataset2	ADJ
gsjp-10033	123	55	”	"	PUNCT
gsjp-10033	123	56	variable	variable	NOUN
gsjp-10033	123	57	,	,	PUNCT
gsjp-10033	123	58	step	step	VERB
gsjp-10033	123	59	4	4	NUM
gsjp-10033	123	60	encodes	encode	NOUN
gsjp-10033	123	61	for	for	ADP
gsjp-10033	123	62	all	all	DET
gsjp-10033	123	63	cases	case	NOUN
gsjp-10033	123	64	within	within	ADP
gsjp-10033	123	65	the	the	DET
gsjp-10033	123	66	newly	newly	ADV
gsjp-10033	123	67	created	create	VERB
gsjp-10033	123	68	“	"	PUNCT
gsjp-10033	123	69	casescompared	casescompared	ADJ
gsjp-10033	123	70	”	"	PUNCT
gsjp-10033	123	71	variable	variable	NOUN
gsjp-10033	123	72	(	(	PUNCT
gsjp-10033	123	73	from	from	ADP
gsjp-10033	123	74	step	step	NOUN
gsjp-10033	123	75	3	3	NUM
gsjp-10033	123	76	)	)	PUNCT
gsjp-10033	123	77	.	.	PUNCT
gsjp-10033	124	1	step	step	NOUN
gsjp-10033	124	2	4	4	NUM
gsjp-10033	124	3	encodes	encode	NOUN
gsjp-10033	124	4	information	information	NOUN
gsjp-10033	124	5	as	as	ADP
gsjp-10033	124	6	to	to	ADP
gsjp-10033	124	7	whether	whether	SCONJ
gsjp-10033	124	8	the	the	DET
gsjp-10033	124	9	case	case	NOUN
gsjp-10033	124	10	is	be	AUX
gsjp-10033	124	11	a	a	DET
gsjp-10033	124	12	match	match	NOUN
gsjp-10033	124	13	between	between	ADP
gsjp-10033	124	14	datasets	dataset	NOUN
gsjp-10033	124	15	,	,	PUNCT
gsjp-10033	124	16	a	a	DET
gsjp-10033	124	17	mismatch	mismatch	NOUN
gsjp-10033	124	18	between	between	ADP
gsjp-10033	124	19	datasets	dataset	NOUN
gsjp-10033	124	20	,	,	PUNCT
gsjp-10033	124	21	or	or	CCONJ
gsjp-10033	124	22	unique	unique	ADJ
gsjp-10033	124	23	to	to	PART
gsjp-10033	124	24	dataset	dataset	NOUN
gsjp-10033	124	25	1	1	NUM
gsjp-10033	124	26	.	.	PUNCT
gsjp-10033	125	1	this	this	DET
gsjp-10033	125	2	step	step	NOUN
gsjp-10033	125	3	is	be	AUX
gsjp-10033	125	4	important	important	ADJ
gsjp-10033	125	5	because	because	SCONJ
gsjp-10033	125	6	without	without	ADP
gsjp-10033	125	7	it	it	PRON
gsjp-10033	125	8	only	only	ADV
gsjp-10033	125	9	cases	case	NOUN
gsjp-10033	125	10	from	from	ADP
gsjp-10033	125	11	dataset	dataset	NOUN
gsjp-10033	125	12	2	2	NUM
gsjp-10033	125	13	would	would	AUX
gsjp-10033	125	14	have	have	VERB
gsjp-10033	125	15	information	information	NOUN
gsjp-10033	125	16	encoded	encode	VERB
gsjp-10033	125	17	in	in	ADP
gsjp-10033	125	18	the	the	DET
gsjp-10033	125	19	“	"	PUNCT
gsjp-10033	125	20	casescompared	casescompared	ADJ
gsjp-10033	125	21	”	"	PUNCT
gsjp-10033	125	22	variable	variable	NOUN
gsjp-10033	125	23	.	.	PUNCT
gsjp-10033	126	1	again	again	ADV
gsjp-10033	126	2	,	,	PUNCT
gsjp-10033	126	3	the	the	DET
gsjp-10033	126	4	syntax	syntax	NOUN
gsjp-10033	126	5	is	be	AUX
gsjp-10033	126	6	found	find	VERB
gsjp-10033	126	7	in	in	ADP
gsjp-10033	126	8	appendix	appendix	ADJ
gsjp-10033	126	9	a.	a.	NOUN
gsjp-10033	126	10	when	when	SCONJ
gsjp-10033	126	11	running	run	VERB
gsjp-10033	126	12	the	the	DET
gsjp-10033	126	13	syntax	syntax	NOUN
gsjp-10033	126	14	,	,	PUNCT
gsjp-10033	126	15	be	be	AUX
gsjp-10033	126	16	careful	careful	ADJ
gsjp-10033	126	17	to	to	PART
gsjp-10033	126	18	change	change	VERB
gsjp-10033	126	19	the	the	DET
gsjp-10033	126	20	variable	variable	ADJ
gsjp-10033	126	21	names	name	NOUN
gsjp-10033	126	22	to	to	ADP
gsjp-10033	126	23	your	your	PRON
gsjp-10033	126	24	chosen	choose	VERB
gsjp-10033	126	25	variable	variable	ADJ
gsjp-10033	126	26	names	name	NOUN
gsjp-10033	126	27	,	,	PUNCT
gsjp-10033	126	28	and	and	CCONJ
gsjp-10033	126	29	to	to	PART
gsjp-10033	126	30	run	run	VERB
gsjp-10033	126	31	the	the	DET
gsjp-10033	126	32	șȅȗƞǩǿǡ	șȅȗƞǩǿǡ	PROPN
gsjp-10033	126	33	�	�	PROPN
gsjp-10033	126	34	șρǿƞƺπ	șρǿƞƺπ	PROPN
gsjp-10033	126	35	�	�	PROPN
gsjp-10033	126	36	йȗșƞ	йȗșƞ	VERB
gsjp-10033	126	37	�	�	PROPN
gsjp-10033	126	38	শλǔ	শλǔ	PROPN
gsjp-10033	126	39	�	�	PROPN
gsjp-10033	126	40	ǩǿljǹȣǐǔǐ	ǩǿljǹȣǐǔǐ	PROPN
gsjp-10033	126	41	�	�	PROPN
gsjp-10033	126	42	ǔπƺǿȓǹǔș	ǔπƺǿȓǹǔș	NOUN
gsjp-10033	126	43	�	�	PROPN
gsjp-10033	126	44	ƞȅ	ƞȅ	NOUN
gsjp-10033	126	45	�	�	PROPN
gsjp-10033	126	46	ǟƺljǩǹǩƞƺƞǔ	ǟƺljǩǹǩƞƺƞǔ	NOUN
gsjp-10033	126	47	�	�	PROPN
gsjp-10033	126	48	understanding	understanding	NOUN
gsjp-10033	126	49	)	)	PUNCT
gsjp-10033	126	50	.	.	PUNCT
gsjp-10033	127	1	your	your	PRON
gsjp-10033	127	2	i	i	PROPN
gsjp-10033	127	3	d	d	PROPN
gsjp-10033	127	4	variable	variable	NOUN
gsjp-10033	127	5	must	must	AUX
gsjp-10033	127	6	be	be	AUX
gsjp-10033	127	7	in	in	ADP
gsjp-10033	127	8	numerical	numerical	ADJ
gsjp-10033	127	9	descending	descend	VERB
gsjp-10033	127	10	order	order	NOUN
gsjp-10033	127	11	(	(	PUNCT
gsjp-10033	127	12	e.g.	e.g.	ADV
gsjp-10033	127	13	1	1	NUM
gsjp-10033	127	14	,	,	PUNCT
gsjp-10033	127	15	1	1	NUM
gsjp-10033	127	16	,	,	PUNCT
gsjp-10033	127	17	2	2	NUM
gsjp-10033	127	18	,	,	PUNCT
gsjp-10033	127	19	3	3	NUM
gsjp-10033	127	20	,	,	PUNCT
gsjp-10033	127	21	4	4	NUM
gsjp-10033	127	22	,	,	PUNCT
gsjp-10033	127	23	4	4	NUM
gsjp-10033	127	24	)	)	PUNCT
gsjp-10033	127	25	,	,	PUNCT
gsjp-10033	127	26	with	with	ADP
gsjp-10033	127	27	cases	case	NOUN
gsjp-10033	127	28	from	from	ADP
gsjp-10033	127	29	dataset	dataset	NOUN
gsjp-10033	127	30	1	1	NUM
gsjp-10033	127	31	listed	list	VERB
gsjp-10033	127	32	or	or	CCONJ
gsjp-10033	127	33	appearing	appear	VERB
gsjp-10033	127	34	before	before	ADP
gsjp-10033	127	35	cases	case	NOUN
gsjp-10033	127	36	from	from	ADP
gsjp-10033	127	37	dataset	dataset	NOUN
gsjp-10033	127	38	2	2	NUM
gsjp-10033	127	39	.	.	PUNCT
gsjp-10033	128	1	this	this	DET
gsjp-10033	128	2	syntax	syntax	NOUN
gsjp-10033	128	3	solves	solve	VERB
gsjp-10033	128	4	the	the	DET
gsjp-10033	128	5	problem	problem	NOUN
gsjp-10033	128	6	from	from	ADP
gsjp-10033	128	7	step	step	NOUN
gsjp-10033	128	8	3	3	NUM
gsjp-10033	128	9	,	,	PUNCT
gsjp-10033	128	10	however	however	ADV
gsjp-10033	128	11	,	,	PUNCT
gsjp-10033	128	12	the	the	DET
gsjp-10033	128	13	variable	variable	ADJ
gsjp-10033	128	14	“	"	PUNCT
gsjp-10033	128	15	casescompared	casescompare	VERB
gsjp-10033	128	16	”	"	PUNCT
gsjp-10033	128	17	still	still	ADV
gsjp-10033	128	18	does	do	AUX
gsjp-10033	128	19	not	not	PART
gsjp-10033	128	20	encode	encode	VERB
gsjp-10033	128	21	when	when	SCONJ
gsjp-10033	128	22	a	a	DET
gsjp-10033	128	23	case	case	NOUN
gsjp-10033	128	24	is	be	AUX
gsjp-10033	128	25	unique	unique	ADJ
gsjp-10033	128	26	to	to	PART
gsjp-10033	128	27	dataset	dataset	VERB
gsjp-10033	128	28	2	2	NUM
gsjp-10033	128	29	.	.	PUNCT
gsjp-10033	129	1	see	see	VERB
gsjp-10033	129	2	figure	figure	NOUN
gsjp-10033	129	3	5	5	NUM
gsjp-10033	129	4	for	for	ADP
gsjp-10033	129	5	the	the	DET
gsjp-10033	129	6	example	example	NOUN
gsjp-10033	129	7	dataset	dataset	VERB
gsjp-10033	129	8	1	1	NUM
gsjp-10033	129	9	after	after	ADP
gsjp-10033	129	10	step	step	NOUN
gsjp-10033	129	11	4	4	NUM
gsjp-10033	129	12	.	.	PUNCT
gsjp-10033	130	1	step	step	NOUN
gsjp-10033	130	2	5	5	NUM
gsjp-10033	130	3	:	:	PUNCT
gsjp-10033	130	4	identifying	identify	VERB
gsjp-10033	130	5	cases	case	NOUN
gsjp-10033	130	6	unique	unique	ADJ
gsjp-10033	130	7	to	to	PART
gsjp-10033	130	8	dataset	dataset	VERB
gsjp-10033	130	9	2	2	NUM
gsjp-10033	130	10	step	step	NOUN
gsjp-10033	130	11	5	5	NUM
gsjp-10033	130	12	encodes	encode	NOUN
gsjp-10033	130	13	in	in	ADP
gsjp-10033	130	14	the	the	DET
gsjp-10033	130	15	“	"	PUNCT
gsjp-10033	130	16	casescompared	casescompared	ADJ
gsjp-10033	130	17	”	"	PUNCT
gsjp-10033	130	18	variable	variable	NOUN
gsjp-10033	130	19	when	when	SCONJ
gsjp-10033	130	20	cases	case	NOUN
gsjp-10033	130	21	are	be	AUX
gsjp-10033	130	22	unique	unique	ADJ
gsjp-10033	130	23	to	to	PART
gsjp-10033	130	24	dataset	dataset	VERB
gsjp-10033	130	25	2	2	NUM
gsjp-10033	130	26	.	.	PUNCT
gsjp-10033	131	1	the	the	DET
gsjp-10033	131	2	syntax	syntax	NOUN
gsjp-10033	131	3	can	can	AUX
gsjp-10033	131	4	be	be	AUX
gsjp-10033	131	5	found	find	VERB
gsjp-10033	131	6	in	in	ADP
gsjp-10033	131	7	appendix	appendix	ADJ
gsjp-10033	131	8	a.	a.	NOUN
gsjp-10033	131	9	since	since	SCONJ
gsjp-10033	131	10	the	the	DET
gsjp-10033	131	11	only	only	ADJ
gsjp-10033	131	12	cases	case	NOUN
gsjp-10033	131	13	with	with	ADP
gsjp-10033	131	14	no	no	DET
gsjp-10033	131	15	data	datum	NOUN
gsjp-10033	131	16	in	in	ADP
gsjp-10033	131	17	“	"	PUNCT
gsjp-10033	131	18	casescompared	casescompared	ADJ
gsjp-10033	131	19	”	"	PUNCT
gsjp-10033	131	20	are	be	AUX
gsjp-10033	131	21	those	those	PRON
gsjp-10033	131	22	which	which	PRON
gsjp-10033	131	23	are	be	AUX
gsjp-10033	131	24	unique	unique	ADJ
gsjp-10033	131	25	to	to	ADP
gsjp-10033	131	26	�	�	PROPN
gsjp-10033	131	27	ƺƞƺșǔƞࢳ	ƺƞƺșǔƞࢳ	PROPN
gsjp-10033	131	28	�	�	PROPN
gsjp-10033	131	29	ॹ	ॹ	NOUN
gsjp-10033	131	30	�	�	PROPN
gsjp-10033	131	31	ƞǧǩș	ƞǧǩș	PROPN
gsjp-10033	131	32	�	�	PROPN
gsjp-10033	131	33	șρǿƞƺπ	șρǿƞƺπ	PROPN
gsjp-10033	131	34	�	�	PROPN
gsjp-10033	131	35	ǩǐǔǿƞǩйǔș	ǩǐǔǿƞǩйǔș	PROPN
gsjp-10033	131	36	�	�	PROPN
gsjp-10033	131	37	ǔǿȓƞρ	ǔǿȓƞρ	PROPN
gsjp-10033	131	38	�	�	PROPN
gsjp-10033	131	39	ǐƺƞƺ	ǐƺƞƺ	NOUN
gsjp-10033	131	40	�	�	PROPN
gsjp-10033	131	41	ǩǿ	ǩǿ	NOUN
gsjp-10033	131	42	�	�	PROPN
gsjp-10033	131	43	৚	৚	NOUN
gsjp-10033	131	44	�	�	NOUN
gsjp-10033	131	45	ƺșǔșcompared	ƺșǔșcompare	VERB
gsjp-10033	131	46	”	"	PUNCT
gsjp-10033	131	47	and	and	CCONJ
gsjp-10033	131	48	encodes	encode	VERB
gsjp-10033	131	49	them	they	PRON
gsjp-10033	131	50	as	as	ADV
gsjp-10033	131	51	unique	unique	ADJ
gsjp-10033	131	52	to	to	AUX
gsjp-10033	131	53	dataset	dataset	NOUN
gsjp-10033	131	54	2	2	NUM
gsjp-10033	131	55	.	.	PUNCT
gsjp-10033	132	1	the	the	DET
gsjp-10033	132	2	syntax	syntax	NOUN
gsjp-10033	132	3	also	also	ADV
gsjp-10033	132	4	includes	include	VERB
gsjp-10033	132	5	a	a	DET
gsjp-10033	132	6	method	method	NOUN
gsjp-10033	132	7	of	of	ADP
gsjp-10033	132	8	labeling	label	VERB
gsjp-10033	132	9	this	this	DET
gsjp-10033	132	10	new	new	ADJ
gsjp-10033	132	11	value	value	NOUN
gsjp-10033	132	12	.	.	PUNCT
gsjp-10033	133	1	see	see	VERB
gsjp-10033	133	2	figure	figure	NOUN
gsjp-10033	133	3	6	6	NUM
gsjp-10033	133	4	for	for	ADP
gsjp-10033	133	5	the	the	DET
gsjp-10033	133	6	example	example	NOUN
gsjp-10033	133	7	dataset	dataset	VERB
gsjp-10033	133	8	1	1	NUM
gsjp-10033	133	9	after	after	ADP
gsjp-10033	133	10	step	step	NOUN
gsjp-10033	133	11	5	5	NUM
gsjp-10033	133	12	.	.	PUNCT
gsjp-10033	134	1	discussion	discussion	NOUN
gsjp-10033	134	2	�	�	PROPN
gsjp-10033	134	3	eǧǔȗǔ	eǧǔȗǔ	PROPN
gsjp-10033	134	4	�	�	PROPN
gsjp-10033	134	5	ǩș	ǩș	ADP
gsjp-10033	134	6	�	�	PROPN
gsjp-10033	134	7	șǩǡǿǩйljƺǿƞ	șǩǡǿǩйljƺǿƞ	PROPN
gsjp-10033	134	8	�	�	PROPN
gsjp-10033	134	9	ǹǩƞǔȗƺƞȣȗǔ	ǹǩƞǔȗƺƞȣȗǔ	PROPN
gsjp-10033	134	10	�	�	PROPN
gsjp-10033	134	11	ƞǧƺƞ	ƞǧƺƞ	PROPN
gsjp-10033	134	12	�	�	PROPN
gsjp-10033	134	13	ȓȗȅκǩǐǔș	ȓȗȅκǩǐǔș	PROPN
gsjp-10033	134	14	�	�	PROPN
gsjp-10033	134	15	ƞȣƞȅȗǩƺǹș	ƞȣƞȅȗǩƺǹș	PROPN
gsjp-10033	134	16	�	�	PROPN
gsjp-10033	134	17	ƺǿǐ	ƺǿǐ	PROPN
gsjp-10033	134	18	�	�	PROPN
gsjp-10033	134	19	ǩǿșƞȗȣljƞǩȅǿș	ǩǿșƞȗȣljƞǩȅǿș	ADJ
gsjp-10033	134	20	�	�	PROPN
gsjp-10033	134	21	ȅǿ	ȅǿ	NUM
gsjp-10033	134	22	�	�	PROPN
gsjp-10033	134	23	ƞǧǔ	ƞǧǔ	PROPN
gsjp-10033	134	24	�	�	PROPN
gsjp-10033	134	25	ljƺșǩlj	ljƺșǩlj	PROPN
gsjp-10033	134	26	�	�	PROPN
gsjp-10033	134	27	ǿǔȗǡǩǿǡ	ǿǔȗǡǩǿǡ	PROPN
gsjp-10033	134	28	�	�	PROPN
gsjp-10033	134	29	ȅǟ	ȅǟ	PROPN
gsjp-10033	134	30	�	�	PROPN
gsjp-10033	134	31	йǹǔș	йǹǔș	PROPN
gsjp-10033	134	32	�	�	PROPN
gsjp-10033	134	33	λǩƞǧ	λǩƞǧ	PROPN
gsjp-10033	134	34	�	�	PROPN
gsjp-10033	134	35	ǩǐǔǿƞǩljƺǹ	ǩǐǔǿƞǩljƺǹ	PROPN
gsjp-10033	134	36	�	�	PROPN
gsjp-10033	134	37	κƺȗǩƺljǹǔș	κƺȗǩƺljǹǔș	PROPN
gsjp-10033	134	38	�	�	PROPN
gsjp-10033	134	39	ƺǿǐইȅȗ	ƺǿǐইȅȗ	PROPN
gsjp-10033	134	40	�	�	PROPN
gsjp-10033	134	41	ljƺșǔșঀ	ljƺșǔșঀ	NOUN
gsjp-10033	134	42	�	�	PROPN
gsjp-10033	134	43	^ǩǡǿǩйljƺǿƞ	^ǩǡǿǩйljƺǿƞ	SYM
gsjp-10033	134	44	�	�	PROPN
gsjp-10033	134	45	ǹǩƞǔȗature	ǹǩƞǔȗature	NOUN
gsjp-10033	134	46	discussing	discuss	VERB
gsjp-10033	134	47	these	these	DET
gsjp-10033	134	48	basic	basic	ADJ
gsjp-10033	134	49	merging	merging	NOUN
gsjp-10033	134	50	techniques	technique	NOUN
gsjp-10033	135	1	can	can	AUX
gsjp-10033	135	2	be	be	AUX
gsjp-10033	135	3	found	find	VERB
gsjp-10033	135	4	for	for	ADP
gsjp-10033	135	5	programs	program	NOUN
gsjp-10033	135	6	such	such	ADJ
gsjp-10033	135	7	as	as	ADP
gsjp-10033	135	8	r	r	NOUN
gsjp-10033	135	9	,	,	PUNCT
gsjp-10033	135	10	spss	spss	ADJ
gsjp-10033	135	11	,	,	PUNCT
gsjp-10033	135	12	and	and	CCONJ
gsjp-10033	135	13	stata	stata	NOUN
gsjp-10033	135	14	.	.	PUNCT
gsjp-10033	136	1	what	what	PRON
gsjp-10033	136	2	has	have	AUX
gsjp-10033	136	3	not	not	PART
gsjp-10033	136	4	been	be	AUX
gsjp-10033	136	5	discussed	discuss	VERB
gsjp-10033	136	6	in	in	ADP
gsjp-10033	136	7	the	the	DET
gsjp-10033	136	8	literature	literature	NOUN
gsjp-10033	136	9	but	but	CCONJ
gsjp-10033	136	10	may	may	AUX
gsjp-10033	136	11	be	be	AUX
gsjp-10033	136	12	of	of	ADP
gsjp-10033	136	13	use	use	NOUN
gsjp-10033	136	14	to	to	ADP
gsjp-10033	136	15	students	student	NOUN
gsjp-10033	136	16	and	and	CCONJ
gsjp-10033	136	17	researchers	researcher	NOUN
gsjp-10033	136	18	using	use	VERB
gsjp-10033	136	19	smallto	smallto	NOUN
gsjp-10033	136	20	medium	medium	ADJ
gsjp-10033	136	21	-	-	PUNCT
gsjp-10033	136	22	sized	sized	ADJ
gsjp-10033	136	23	datasets	dataset	NOUN
gsjp-10033	136	24	,	,	PUNCT
gsjp-10033	136	25	is	be	AUX
gsjp-10033	136	26	a	a	DET
gsjp-10033	136	27	procedure	procedure	NOUN
gsjp-10033	136	28	that	that	PRON
gsjp-10033	136	29	reliably	reliably	ADV
gsjp-10033	136	30	merges	merge	VERB
gsjp-10033	136	31	datasets	dataset	NOUN
gsjp-10033	136	32	with	with	ADP
gsjp-10033	136	33	missing	miss	VERB
gsjp-10033	136	34	or	or	CCONJ
gsjp-10033	136	35	mismatched	mismatched	ADJ
gsjp-10033	136	36	cases	case	NOUN
gsjp-10033	136	37	and/or	and/or	CCONJ
gsjp-10033	136	38	variables	variable	NOUN
gsjp-10033	136	39	within	within	ADP
gsjp-10033	136	40	spss	spss	PROPN
gsjp-10033	136	41	.	.	PUNCT
gsjp-10033	137	1	while	while	SCONJ
gsjp-10033	137	2	numerous	numerous	ADJ
gsjp-10033	137	3	software	software	NOUN
gsjp-10033	137	4	programs	program	NOUN
gsjp-10033	137	5	are	be	AUX
gsjp-10033	137	6	used	use	VERB
gsjp-10033	137	7	to	to	PART
gsjp-10033	137	8	conduct	conduct	VERB
gsjp-10033	137	9	research	research	NOUN
gsjp-10033	137	10	,	,	PUNCT
gsjp-10033	137	11	one	one	NUM
gsjp-10033	137	12	of	of	ADP
gsjp-10033	137	13	the	the	DET
gsjp-10033	137	14	more	more	ADV
gsjp-10033	137	15	frequently	frequently	ADV
gsjp-10033	137	16	used	use	VERB
gsjp-10033	137	17	software	software	NOUN
gsjp-10033	137	18	programs	program	NOUN
gsjp-10033	137	19	to	to	PART
gsjp-10033	137	20	teach	teach	VERB
gsjp-10033	137	21	statistical	statistical	ADJ
gsjp-10033	137	22	analysis	analysis	NOUN
gsjp-10033	137	23	,	,	PUNCT
gsjp-10033	137	24	particularly	particularly	ADV
gsjp-10033	137	25	within	within	ADP
gsjp-10033	137	26	the	the	DET
gsjp-10033	137	27	social	social	ADJ
gsjp-10033	137	28	sciences	science	NOUN
gsjp-10033	137	29	,	,	PUNCT
gsjp-10033	137	30	is	be	AUX
gsjp-10033	137	31	spss	spss	ADJ
gsjp-10033	137	32	.	.	PUNCT
gsjp-10033	138	1	oftentimes	oftentime	NOUN
gsjp-10033	138	2	students	student	NOUN
gsjp-10033	138	3	are	be	AUX
gsjp-10033	138	4	introduced	introduce	VERB
gsjp-10033	138	5	to	to	ADP
gsjp-10033	138	6	data	datum	NOUN
gsjp-10033	138	7	analysis	analysis	NOUN
gsjp-10033	138	8	using	use	VERB
gsjp-10033	138	9	the	the	DET
gsjp-10033	138	10	drop	drop	VERB
gsjp-10033	138	11	-	-	PUNCT
gsjp-10033	138	12	down	down	ADP
gsjp-10033	138	13	menus	menu	NOUN
gsjp-10033	138	14	within	within	ADP
gsjp-10033	138	15	spss	spss	PROPN
gsjp-10033	138	16	rather	rather	ADV
gsjp-10033	138	17	than	than	ADP
gsjp-10033	138	18	syntax	syntax	NOUN
gsjp-10033	138	19	.	.	PUNCT
gsjp-10033	139	1	this	this	DET
gsjp-10033	139	2	article	article	NOUN
gsjp-10033	139	3	has	have	AUX
gsjp-10033	139	4	provided	provide	VERB
gsjp-10033	139	5	information	information	NOUN
gsjp-10033	139	6	on	on	ADP
gsjp-10033	139	7	both	both	CCONJ
gsjp-10033	139	8	the	the	DET
gsjp-10033	139	9	use	use	NOUN
gsjp-10033	139	10	of	of	ADP
gsjp-10033	139	11	drop	drop	NOUN
gsjp-10033	139	12	-	-	PUNCT
gsjp-10033	139	13	down	down	ADP
gsjp-10033	139	14	menus	menu	NOUN
gsjp-10033	139	15	and	and	CCONJ
gsjp-10033	139	16	syntax	syntax	NOUN
gsjp-10033	139	17	to	to	PART
gsjp-10033	139	18	conduct	conduct	VERB
gsjp-10033	139	19	data	datum	NOUN
gsjp-10033	139	20	merging	merge	VERB
gsjp-10033	139	21	.	.	PUNCT
gsjp-10033	140	1	depending	depend	VERB
gsjp-10033	140	2	on	on	ADP
gsjp-10033	140	3	the	the	DET
gsjp-10033	140	4	individual	individual	NOUN
gsjp-10033	140	5	’s	’s	PART
gsjp-10033	140	6	comfort	comfort	PROPN
gsjp-10033	140	7	level	level	NOUN
gsjp-10033	140	8	and	and	CCONJ
gsjp-10033	140	9	the	the	DET
gsjp-10033	140	10	version	version	NOUN
gsjp-10033	140	11	of	of	ADP
gsjp-10033	140	12	spss	spss	PROPN
gsjp-10033	140	13	being	be	AUX
gsjp-10033	140	14	used	use	VERB
gsjp-10033	140	15	,	,	PUNCT
gsjp-10033	140	16	ǔǩƞǧǔȗ	ǔǩƞǧǔȗ	PROPN
gsjp-10033	140	17	�	�	PROPN
gsjp-10033	140	18	ȅǟ	ȅǟ	ADP
gsjp-10033	140	19	�	�	PROPN
gsjp-10033	140	20	ƞǧǔșǔ	ƞǧǔșǔ	PROPN
gsjp-10033	140	21	�	�	PROPN
gsjp-10033	140	22	ȓȗȅljǔǐȣȗǔș	ȓȗȅljǔǐȣȗǔș	PROPN
gsjp-10033	140	23	�	�	PROPN
gsjp-10033	140	24	ǿƺρ	ǿƺρ	PROPN
gsjp-10033	140	25	�	�	PROPN
gsjp-10033	140	26	ljǔ	ljǔ	PUNCT
gsjp-10033	140	27	�	�	PROPN
gsjp-10033	140	28	ǿȅȗǔ	ǿȅȗǔ	PROPN
gsjp-10033	140	29	�	�	PROPN
gsjp-10033	140	30	ǔаǔljƞǩκǔঀ	ǔаǔljƞǩκǔঀ	NOUN
gsjp-10033	140	31	�	�	PROPN
gsjp-10033	140	32	2ǿ	2ǿ	NOUN
gsjp-10033	140	33	�	�	AUX
gsjp-10033	140	34	the	the	DET
gsjp-10033	140	35	case	case	NOUN
gsjp-10033	140	36	of	of	ADP
gsjp-10033	140	37	an	an	DET
gsjp-10033	140	38	individual	individual	NOUN
gsjp-10033	140	39	using	use	VERB
gsjp-10033	140	40	version	version	NOUN
gsjp-10033	140	41	27	27	NUM
gsjp-10033	140	42	or	or	CCONJ
gsjp-10033	140	43	earlier	early	ADV
gsjp-10033	140	44	,	,	PUNCT
gsjp-10033	140	45	the	the	DET
gsjp-10033	140	46	drop	drop	VERB
gsjp-10033	140	47	-	-	PUNCT
gsjp-10033	140	48	down	down	ADP
gsjp-10033	140	49	menus	menu	NOUN
gsjp-10033	140	50	provide	provide	VERB
gsjp-10033	140	51	point	point	NOUN
gsjp-10033	140	52	-	-	PUNCT
gsjp-10033	140	53	and	and	CCONJ
gsjp-10033	140	54	-	-	PUNCT
gsjp-10033	140	55	click	click	VERB
gsjp-10033	140	56	ease	ease	NOUN
gsjp-10033	140	57	of	of	ADP
gsjp-10033	140	58	conducting	conduct	VERB
gsjp-10033	140	59	the	the	DET
gsjp-10033	140	60	analysis	analysis	NOUN
gsjp-10033	140	61	.	.	PUNCT
gsjp-10033	141	1	while	while	SCONJ
gsjp-10033	141	2	for	for	ADP
gsjp-10033	141	3	those	those	PRON
gsjp-10033	141	4	with	with	ADP
gsjp-10033	141	5	greater	great	ADJ
gsjp-10033	141	6	comfort	comfort	NOUN
gsjp-10033	141	7	and/or	and/or	CCONJ
gsjp-10033	141	8	facility	facility	NOUN
gsjp-10033	141	9	using	use	VERB
gsjp-10033	141	10	syntax	syntax	NOUN
gsjp-10033	141	11	,	,	PUNCT
gsjp-10033	141	12	merging	merge	VERB
gsjp-10033	141	13	using	use	VERB
gsjp-10033	141	14	the	the	DET
gsjp-10033	141	15	syntax	syntax	NOUN
gsjp-10033	141	16	is	be	AUX
gsjp-10033	141	17	likely	likely	ADJ
gsjp-10033	141	18	to	to	PART
gsjp-10033	141	19	be	be	AUX
gsjp-10033	141	20	more	more	ADV
gsjp-10033	141	21	comfortable	comfortable	ADJ
gsjp-10033	141	22	regardless	regardless	ADV
gsjp-10033	141	23	of	of	ADP
gsjp-10033	141	24	the	the	DET
gsjp-10033	141	25	version	version	NOUN
gsjp-10033	141	26	used	use	VERB
gsjp-10033	141	27	.	.	PUNCT
gsjp-10033	142	1	there	there	PRON
gsjp-10033	142	2	are	be	VERB
gsjp-10033	142	3	several	several	ADJ
gsjp-10033	142	4	advantages	advantage	NOUN
gsjp-10033	142	5	to	to	ADP
gsjp-10033	142	6	using	use	VERB
gsjp-10033	142	7	this	this	DET
gsjp-10033	142	8	proceǐȣȗǔ	proceǐȣȗǔ	PROPN
gsjp-10033	142	9	�	�	PROPN
gsjp-10033	142	10	ƞȅ	ƞȅ	NOUN
gsjp-10033	142	11	�	�	PROPN
gsjp-10033	142	12	ǿǔȗǡǔ	ǿǔȗǡǔ	PROPN
gsjp-10033	142	13	�	�	PROPN
gsjp-10033	142	14	ǐǩκǔȗǡǔǿƞ	ǐǩκǔȗǡǔǿƞ	PROPN
gsjp-10033	142	15	�	�	PROPN
gsjp-10033	142	16	ǐƺƞƺșǔƞșঀ	ǐƺƞƺșǔƞșঀ	PROPN
gsjp-10033	142	17	�	�	PROPN
gsjp-10033	142	18	eǧǔ	eǧǔ	PROPN
gsjp-10033	142	19	�	�	PROPN
gsjp-10033	142	20	йȗșƞ	йȗșƞ	VERB
gsjp-10033	142	21	�	�	PROPN
gsjp-10033	142	22	ƺǐκƺǿƞƺǡǔ	ƺǐκƺǿƞƺǡǔ	VERB
gsjp-10033	142	23	�	�	PROPN
gsjp-10033	142	24	is	be	AUX
gsjp-10033	142	25	that	that	SCONJ
gsjp-10033	142	26	it	it	PRON
gsjp-10033	142	27	allows	allow	VERB
gsjp-10033	142	28	the	the	DET
gsjp-10033	142	29	researcher	researcher	NOUN
gsjp-10033	142	30	to	to	PART
gsjp-10033	142	31	store	store	VERB
gsjp-10033	142	32	all	all	DET
gsjp-10033	142	33	data	datum	NOUN
gsjp-10033	142	34	within	within	ADP
gsjp-10033	142	35	a	a	DET
gsjp-10033	142	36	single	single	ADJ
gsjp-10033	142	37	dataset	dataset	NOUN
gsjp-10033	142	38	.	.	PUNCT
gsjp-10033	143	1	this	this	PRON
gsjp-10033	143	2	facilitates	facilitate	VERB
gsjp-10033	143	3	data	datum	NOUN
gsjp-10033	143	4	analysis	analysis	NOUN
gsjp-10033	143	5	for	for	ADP
gsjp-10033	143	6	most	most	ADJ
gsjp-10033	143	7	procedures	procedure	NOUN
gsjp-10033	143	8	.	.	PUNCT
gsjp-10033	144	1	the	the	DET
gsjp-10033	144	2	second	second	ADJ
gsjp-10033	144	3	advantage	advantage	NOUN
gsjp-10033	144	4	is	be	AUX
gsjp-10033	144	5	that	that	SCONJ
gsjp-10033	144	6	by	by	ADP
gsjp-10033	144	7	having	have	VERB
gsjp-10033	144	8	all	all	DET
gsjp-10033	144	9	data	datum	NOUN
gsjp-10033	144	10	in	in	ADP
gsjp-10033	144	11	one	one	NUM
gsjp-10033	144	12	dataset	dataset	NOUN
gsjp-10033	144	13	,	,	PUNCT
gsjp-10033	144	14	analyses	analyse	VERB
gsjp-10033	144	15	accounting	account	VERB
gsjp-10033	144	16	for	for	ADP
gsjp-10033	144	17	missing	miss	VERB
gsjp-10033	144	18	audette	audette	NOUN
gsjp-10033	144	19	et	et	PROPN
gsjp-10033	144	20	al	al	PROPN
gsjp-10033	144	21	.	.	PROPN
gsjp-10033	144	22	figure	figure	NOUN
gsjp-10033	144	23	4	4	NUM
gsjp-10033	144	24	:	:	PUNCT
gsjp-10033	144	25	spss	spss	PROPN
gsjp-10033	144	26	data	data	PROPN
gsjp-10033	144	27	view	view	NOUN
gsjp-10033	144	28	after	after	ADP
gsjp-10033	144	29	the	the	DET
gsjp-10033	144	30	creation	creation	NOUN
gsjp-10033	144	31	of	of	ADP
gsjp-10033	144	32	a	a	DET
gsjp-10033	144	33	variable	variable	NOUN
gsjp-10033	144	34	that	that	PRON
gsjp-10033	144	35	2ǐǔǿƞǩйǔș	2ǐǔǿƞǩйǔș	NUM
gsjp-10033	144	36	�	�	SYM
gsjp-10033	144	37	eǩșǿƺƞljǧǔșॹ	eǩșǿƺƞljǧǔșॹ	PROPN
gsjp-10033	144	38	�	�	PROPN
gsjp-10033	144	39	eƺƞljǧǔșॹ	eƺƞljǧǔșॹ	ADJ
gsjp-10033	144	40	�	�	PROPN
gsjp-10033	144	41	ƺǿǐ	ƺǿǐ	SYM
gsjp-10033	144	42	�	�	PROPN
gsjp-10033	144	43	hǿǩȕȣǔ	hǿǩȕȣǔ	PROPN
gsjp-10033	144	44	�	�	PROPN
gsjp-10033	144	45	�	�	PROPN
gsjp-10033	144	46	ƺșǔș	ƺșǔș	NOUN
gsjp-10033	144	47	�	�	PROPN
gsjp-10033	144	48	[ǔǡƺȗǐǩǿǡ	[ǔǡƺȗǐǩǿǡ	SYM
gsjp-10033	144	49	�	�	PROPN
gsjp-10033	144	50	cases	case	NOUN
gsjp-10033	144	51	originating	originate	VERB
gsjp-10033	144	52	from	from	ADP
gsjp-10033	144	53	dataset	dataset	NOUN
gsjp-10033	144	54	1	1	NUM
gsjp-10033	144	55	(	(	PUNCT
gsjp-10033	144	56	step	step	NOUN
gsjp-10033	144	57	3	3	NUM
gsjp-10033	144	58	)	)	PUNCT
gsjp-10033	144	59	.	.	PUNCT
gsjp-10033	145	1	figure	figure	VERB
gsjp-10033	145	2	5	5	NUM
gsjp-10033	145	3	:	:	PUNCT
gsjp-10033	145	4	^x^^	^x^^	NUM
gsjp-10033	145	5	�	�	PROPN
gsjp-10033	145	6	�	�	PROPN
gsjp-10033	145	7	ƺƞƺ	ƺƞƺ	PROPN
gsjp-10033	145	8	�	�	PROPN
gsjp-10033	145	9	tǩǔλ	tǩǔλ	PROPN
gsjp-10033	145	10	�	�	PROPN
gsjp-10033	145	11	�	�	PROPN
gsjp-10033	145	12	ǟƞǔȗ	ǟƞǔȗ	PROPN
gsjp-10033	145	13	�	�	PROPN
gsjp-10033	145	14	^ƞǔȓࢵ	^ƞǔȓࢵ	NUM
gsjp-10033	145	15	�	�	PROPN
gsjp-10033	145	16	�	�	PROPN
gsjp-10033	145	17	λǧǩljǧ	λǧǩljǧ	PROPN
gsjp-10033	145	18	�	�	PROPN
gsjp-10033	145	19	2ǐǔǿƞǩйǔș	2ǐǔǿƞǩйǔș	NOUN
gsjp-10033	145	20	�	�	NOUN
gsjp-10033	145	21	eǩșmatches	eǩșmatche	NOUN
gsjp-10033	145	22	and	and	CCONJ
gsjp-10033	145	23	matches	match	NOUN
gsjp-10033	145	24	in	in	ADP
gsjp-10033	145	25	cases	case	NOUN
gsjp-10033	145	26	originating	originate	VERB
gsjp-10033	145	27	from	from	ADP
gsjp-10033	145	28	dataset	dataset	NOUN
gsjp-10033	145	29	2	2	NUM
gsjp-10033	145	30	.	.	PUNCT
gsjp-10033	145	31	figure	figure	VERB
gsjp-10033	145	32	6	6	NUM
gsjp-10033	145	33	:	:	PUNCT
gsjp-10033	145	34	^x^^	^x^^	NUM
gsjp-10033	145	35	�	�	PROPN
gsjp-10033	145	36	�	�	PROPN
gsjp-10033	145	37	ƺƞƺ	ƺƞƺ	PROPN
gsjp-10033	145	38	�	�	PROPN
gsjp-10033	145	39	tǩǔλ	tǩǔλ	PROPN
gsjp-10033	145	40	�	�	PROPN
gsjp-10033	145	41	�	�	PROPN
gsjp-10033	145	42	ǟƞǔȗ	ǟƞǔȗ	PROPN
gsjp-10033	145	43	�	�	PROPN
gsjp-10033	145	44	^ƞǔȓࢶ	^ƞǔȓࢶ	PROPN
gsjp-10033	145	45	�	�	PROPN
gsjp-10033	145	46	�	�	PROPN
gsjp-10033	145	47	λǧǩljǧ	λǧǩljǧ	PROPN
gsjp-10033	145	48	�	�	PROPN
gsjp-10033	145	49	2ǐǔǿƞǩйǔș	2ǐǔǿƞǩйǔș	NUM
gsjp-10033	145	50	�	�	PROPN
gsjp-10033	145	51	�	�	PROPN
gsjp-10033	145	52	ƺșǔș	ƺșǔș	ADJ
gsjp-10033	145	53	�	�	PROPN
gsjp-10033	145	54	unique	unique	ADJ
gsjp-10033	145	55	to	to	AUX
gsjp-10033	145	56	dataset	dataset	VERB
gsjp-10033	145	57	2	2	NUM
gsjp-10033	145	58	.	.	SYM
gsjp-10033	145	59	11	11	NUM
gsjp-10033	145	60	data	datum	NOUN
gsjp-10033	145	61	are	be	AUX
gsjp-10033	145	62	more	more	ADV
gsjp-10033	145	63	easily	easily	ADV
gsjp-10033	145	64	conducted	conduct	VERB
gsjp-10033	145	65	from	from	ADP
gsjp-10033	145	66	within	within	ADP
gsjp-10033	145	67	one	one	NUM
gsjp-10033	145	68	dataset	dataset	NOUN
gsjp-10033	145	69	rather	rather	ADV
gsjp-10033	145	70	than	than	ADP
gsjp-10033	145	71	across	across	ADP
gsjp-10033	145	72	multiple	multiple	ADJ
gsjp-10033	145	73	datasets	dataset	NOUN
gsjp-10033	145	74	.	.	PUNCT
gsjp-10033	146	1	the	the	DET
gsjp-10033	146	2	third	third	ADJ
gsjp-10033	146	3	advantage	advantage	NOUN
gsjp-10033	146	4	is	be	AUX
gsjp-10033	146	5	that	that	SCONJ
gsjp-10033	146	6	this	this	DET
gsjp-10033	146	7	procedure	procedure	NOUN
gsjp-10033	146	8	allows	allow	VERB
gsjp-10033	146	9	one	one	NUM
gsjp-10033	146	10	to	to	PART
gsjp-10033	146	11	conduct	conduct	VERB
gsjp-10033	146	12	analyses	analysis	NOUN
gsjp-10033	146	13	that	that	PRON
gsjp-10033	146	14	can	can	AUX
gsjp-10033	146	15	only	only	ADV
gsjp-10033	146	16	be	be	AUX
gsjp-10033	146	17	performed	perform	VERB
gsjp-10033	146	18	within	within	ADP
gsjp-10033	146	19	a	a	DET
gsjp-10033	146	20	single	single	ADJ
gsjp-10033	146	21	dataset	dataset	NOUN
gsjp-10033	146	22	.	.	PUNCT
gsjp-10033	147	1	the	the	DET
gsjp-10033	147	2	fourth	fourth	ADJ
gsjp-10033	147	3	advantage	advantage	NOUN
gsjp-10033	147	4	is	be	AUX
gsjp-10033	147	5	that	that	SCONJ
gsjp-10033	147	6	embedded	embed	VERB
gsjp-10033	147	7	within	within	ADP
gsjp-10033	147	8	the	the	DET
gsjp-10033	147	9	syntax	syntax	NOUN
gsjp-10033	147	10	is	be	AUX
gsjp-10033	147	11	a	a	DET
gsjp-10033	147	12	data	data	NOUN
gsjp-10033	147	13	quality	quality	NOUN
gsjp-10033	147	14	check	check	NOUN
gsjp-10033	147	15	which	which	PRON
gsjp-10033	147	16	increases	increase	VERB
gsjp-10033	147	17	the	the	DET
gsjp-10033	147	18	likelihood	likelihood	NOUN
gsjp-10033	147	19	that	that	SCONJ
gsjp-10033	147	20	the	the	DET
gsjp-10033	147	21	merged	merged	ADJ
gsjp-10033	147	22	data	data	NOUN
gsjp-10033	147	23	is	be	AUX
gsjp-10033	147	24	accurate	accurate	ADJ
gsjp-10033	147	25	and	and	CCONJ
gsjp-10033	147	26	represents	represent	VERB
gsjp-10033	147	27	the	the	DET
gsjp-10033	147	28	population	population	NOUN
gsjp-10033	147	29	of	of	ADP
gsjp-10033	147	30	interest	interest	NOUN
gsjp-10033	147	31	.	.	PUNCT
gsjp-10033	148	1	an	an	DET
gsjp-10033	148	2	additional	additional	ADJ
gsjp-10033	148	3	consideration	consideration	NOUN
gsjp-10033	148	4	is	be	AUX
gsjp-10033	148	5	related	relate	VERB
gsjp-10033	148	6	to	to	ADP
gsjp-10033	148	7	the	the	DET
gsjp-10033	148	8	speed	speed	NOUN
gsjp-10033	148	9	ȅȗ	ȅȗ	PROPN
gsjp-10033	148	10	�	�	PROPN
gsjp-10033	148	11	ǔгljǩǔǿljρ	ǔгljǩǔǿljρ	PROPN
gsjp-10033	148	12	�	�	PROPN
gsjp-10033	148	13	ȅǟ	ȅǟ	PROPN
gsjp-10033	148	14	�	�	PROPN
gsjp-10033	148	15	ƞǧǔ	ƞǧǔ	NOUN
gsjp-10033	148	16	�	�	PROPN
gsjp-10033	148	17	ȓȗȅljǔǐȣȗǔঀ	ȓȗȅljǔǐȣȗǔঀ	VERB
gsjp-10033	148	18	�	�	NOUN
gsjp-10033	148	19	2ƞ	2ƞ	NUM
gsjp-10033	148	20	�	�	NOUN
gsjp-10033	148	21	șǧȅȣǹǐ	șǧȅȣǹǐ	PROPN
gsjp-10033	148	22	�	�	NOUN
gsjp-10033	148	23	ljǔ	ljǔ	NOUN
gsjp-10033	148	24	�	�	PROPN
gsjp-10033	148	25	ǿȅƞǔǐ	ǿȅƞǔǐ	NOUN
gsjp-10033	148	26	�	�	PROPN
gsjp-10033	148	27	ƞǧƺƞ	ƞǧƺƞ	PROPN
gsjp-10033	148	28	�	�	PROPN
gsjp-10033	148	29	ƞǧǔ	ƞǧǔ	PROPN
gsjp-10033	148	30	�	�	PROPN
gsjp-10033	148	31	șȓǔǔǐॹ	șȓǔǔǐॹ	PROPN
gsjp-10033	148	32	�	�	PROPN
gsjp-10033	148	33	ǔгljǩǔǿljρॹ	ǔгljǩǔǿljρॹ	PROPN
gsjp-10033	148	34	�	�	PROPN
gsjp-10033	148	35	ƺǿǐ	ƺǿǐ	PROPN
gsjp-10033	148	36	�	�	PROPN
gsjp-10033	148	37	ƺǿȅȣǿƞ	ƺǿȅȣǿƞ	PROPN
gsjp-10033	148	38	�	�	PROPN
gsjp-10033	148	39	ȅǟ	ȅǟ	NOUN
gsjp-10033	148	40	�	�	PROPN
gsjp-10033	148	41	șƞȅȗƺǡǔ	șƞȅȗƺǡǔ	PROPN
gsjp-10033	148	42	�	�	PROPN
gsjp-10033	148	43	ȗǔȕȣǩȗǔǐ	ȗǔȕȣǩȗǔǐ	PROPN
gsjp-10033	148	44	�	�	PROPN
gsjp-10033	148	45	ƞȅ	ƞȅ	PROPN
gsjp-10033	148	46	�	�	PROPN
gsjp-10033	148	47	ljȅǿƞƺǩǿ	ljȅǿƞƺǩǿ	PROPN
gsjp-10033	148	48	�	�	PROPN
gsjp-10033	148	49	ƞǧǔ	ƞǧǔ	PROPN
gsjp-10033	148	50	�	�	PROPN
gsjp-10033	148	51	ǐƺƞƺșǔƞ	ǐƺƞƺșǔƞ	PROPN
gsjp-10033	148	52	�	�	PROPN
gsjp-10033	148	53	λǩǹǹ	λǩǹǹ	PROPN
gsjp-10033	148	54	�	�	PROPN
gsjp-10033	148	55	ljǔ	ljǔ	NOUN
gsjp-10033	148	56	�	�	PROPN
gsjp-10033	148	57	ƺаǔljƞǔǐ	ƺаǔljƞǔǐ	PROPN
gsjp-10033	148	58	�	�	PROPN
gsjp-10033	148	59	ljρ	ljρ	PART
gsjp-10033	148	60	�	�	PROPN
gsjp-10033	148	61	ƞǧǔ	ƞǧǔ	PROPN
gsjp-10033	148	62	�	�	PROPN
gsjp-10033	148	63	șǩφǔș	șǩφǔș	PROPN
gsjp-10033	148	64	�	�	PROPN
gsjp-10033	148	65	ȅǟ	ȅǟ	PROPN
gsjp-10033	148	66	�	�	PROPN
gsjp-10033	148	67	ƞǧǔ	ƞǧǔ	NOUN
gsjp-10033	148	68	�	�	PROPN
gsjp-10033	148	69	datasets	dataset	NOUN
gsjp-10033	148	70	involved	involve	VERB
gsjp-10033	148	71	.	.	PUNCT
gsjp-10033	149	1	large	large	ADJ
gsjp-10033	149	2	datasets	dataset	NOUN
gsjp-10033	149	3	(	(	PUNCT
gsjp-10033	149	4	such	such	ADJ
gsjp-10033	149	5	as	as	ADP
gsjp-10033	149	6	those	those	PRON
gsjp-10033	149	7	found	find	VERB
gsjp-10033	149	8	in	in	ADP
gsjp-10033	149	9	the	the	DET
gsjp-10033	149	10	national	national	ADJ
gsjp-10033	149	11	center	center	NOUN
gsjp-10033	149	12	for	for	ADP
gsjp-10033	149	13	education	education	NOUN
gsjp-10033	149	14	statistics	statistic	NOUN
gsjp-10033	149	15	,	,	PUNCT
gsjp-10033	149	16	etc	etc	X
gsjp-10033	149	17	.	.	X
gsjp-10033	149	18	)	)	PUNCT
gsjp-10033	149	19	,	,	PUNCT
gsjp-10033	149	20	will	will	AUX
gsjp-10033	149	21	require	require	VERB
gsjp-10033	149	22	greater	great	ADJ
gsjp-10033	149	23	computing	computing	NOUN
gsjp-10033	149	24	power	power	NOUN
gsjp-10033	149	25	and	and	CCONJ
gsjp-10033	149	26	storage	storage	NOUN
gsjp-10033	149	27	capacity	capacity	NOUN
gsjp-10033	149	28	than	than	ADP
gsjp-10033	149	29	smaller	small	ADJ
gsjp-10033	149	30	datasets	dataset	NOUN
gsjp-10033	149	31	.	.	PUNCT
gsjp-10033	150	1	conclusion	conclusion	NOUN
gsjp-10033	150	2	merging	merge	VERB
gsjp-10033	150	3	datasets	dataset	NOUN
gsjp-10033	150	4	accurately	accurately	ADV
gsjp-10033	150	5	is	be	AUX
gsjp-10033	150	6	vital	vital	ADJ
gsjp-10033	150	7	to	to	ADP
gsjp-10033	150	8	ensuring	ensure	VERB
gsjp-10033	150	9	that	that	SCONJ
gsjp-10033	150	10	no	no	DET
gsjp-10033	150	11	data	data	NOUN
gsjp-10033	150	12	is	be	AUX
gsjp-10033	150	13	altered	alter	VERB
gsjp-10033	150	14	or	or	CCONJ
gsjp-10033	150	15	lost	lose	VERB
gsjp-10033	150	16	and	and	CCONJ
gsjp-10033	150	17	that	that	SCONJ
gsjp-10033	150	18	researchers	researcher	NOUN
gsjp-10033	150	19	can	can	AUX
gsjp-10033	150	20	easily	easily	ADV
gsjp-10033	150	21	understand	understand	VERB
gsjp-10033	150	22	the	the	DET
gsjp-10033	150	23	sources	source	NOUN
gsjp-10033	150	24	of	of	ADP
gsjp-10033	150	25	all	all	PRON
gsjp-10033	150	26	their	their	PRON
gsjp-10033	150	27	data	datum	NOUN
gsjp-10033	150	28	.	.	PUNCT
gsjp-10033	151	1	presently	presently	ADV
gsjp-10033	151	2	,	,	PUNCT
gsjp-10033	151	3	there	there	PRON
gsjp-10033	151	4	is	be	VERB
gsjp-10033	151	5	no	no	DET
gsjp-10033	151	6	consensus	consensus	NOUN
gsjp-10033	151	7	on	on	ADP
gsjp-10033	151	8	best	good	ADJ
gsjp-10033	151	9	practices	practice	NOUN
gsjp-10033	151	10	for	for	ADP
gsjp-10033	151	11	merging	merge	VERB
gsjp-10033	151	12	spss	spss	ADJ
gsjp-10033	151	13	datasets	dataset	NOUN
gsjp-10033	151	14	with	with	ADP
gsjp-10033	151	15	overlapping	overlap	VERB
gsjp-10033	151	16	and	and	CCONJ
gsjp-10033	151	17	potentially	potentially	ADV
gsjp-10033	151	18	mismatched	mismatch	VERB
gsjp-10033	151	19	cases	case	NOUN
gsjp-10033	151	20	.	.	PUNCT
gsjp-10033	152	1	the	the	DET
gsjp-10033	152	2	present	present	ADJ
gsjp-10033	152	3	article	article	NOUN
gsjp-10033	152	4	introduces	introduce	VERB
gsjp-10033	152	5	one	one	NUM
gsjp-10033	152	6	method	method	NOUN
gsjp-10033	152	7	to	to	PART
gsjp-10033	152	8	handle	handle	VERB
gsjp-10033	152	9	such	such	DET
gsjp-10033	152	10	a	a	DET
gsjp-10033	152	11	situation	situation	NOUN
gsjp-10033	152	12	.	.	PUNCT
gsjp-10033	153	1	the	the	DET
gsjp-10033	153	2	recommended	recommend	VERB
gsjp-10033	153	3	method	method	NOUN
gsjp-10033	153	4	results	result	NOUN
gsjp-10033	153	5	in	in	ADP
gsjp-10033	153	6	a	a	DET
gsjp-10033	153	7	merged	merge	VERB
gsjp-10033	153	8	dataset	dataset	NOUN
gsjp-10033	153	9	that	that	PRON
gsjp-10033	153	10	includes	include	VERB
gsjp-10033	153	11	all	all	DET
gsjp-10033	153	12	cases	case	NOUN
gsjp-10033	153	13	and	and	CCONJ
gsjp-10033	153	14	variables	variable	NOUN
gsjp-10033	153	15	,	,	PUNCT
gsjp-10033	153	16	in	in	ADP
gsjp-10033	153	17	their	their	PRON
gsjp-10033	153	18	original	original	ADJ
gsjp-10033	153	19	form	form	NOUN
gsjp-10033	153	20	,	,	PUNCT
gsjp-10033	153	21	stemming	stem	VERB
gsjp-10033	153	22	from	from	ADP
gsjp-10033	153	23	ƞλȅ	ƞλȅ	PROPN
gsjp-10033	153	24	�	�	PROPN
gsjp-10033	153	25	ȅȗ	ȅȗ	PROPN
gsjp-10033	153	26	�	�	PROPN
gsjp-10033	153	27	ǿȅȗǔ	ǿȅȗǔ	PROPN
gsjp-10033	153	28	�	�	PROPN
gsjp-10033	153	29	ȅȗǩǡǩǿƺǹ	ȅȗǩǡǩǿƺǹ	PROPN
gsjp-10033	153	30	�	�	PROPN
gsjp-10033	153	31	ǐƺƞƺșǔƞșঀ	ǐƺƞƺșǔƞșঀ	PROPN
gsjp-10033	153	32	�	�	PROPN
gsjp-10033	153	33	2ƞ	2ƞ	NUM
gsjp-10033	153	34	�	�	NOUN
gsjp-10033	153	35	ljȗǔƺƞǔș	ljȗǔƺƞǔș	NOUN
gsjp-10033	153	36	�	�	NOUN
gsjp-10033	153	37	ƺǿ	ƺǿ	NOUN
gsjp-10033	153	38	�	�	PROPN
gsjp-10033	153	39	ȅȣƞȓȣƞ	ȅȣƞȓȣƞ	NOUN
gsjp-10033	153	40	�	�	PROPN
gsjp-10033	153	41	йǹǔ	йǹǔ	PROPN
gsjp-10033	153	42	�	�	PROPN
gsjp-10033	153	43	ƞǧƺƞ	ƞǧƺƞ	PROPN
gsjp-10033	153	44	�	�	PROPN
gsjp-10033	153	45	ǩǐǔǿƞǩйǔș	ǩǐǔǿƞǩйǔș	PROPN
gsjp-10033	153	46	�	�	PROPN
gsjp-10033	153	47	ǔƺljǧ	ǔƺljǧ	PROPN
gsjp-10033	153	48	�	�	PROPN
gsjp-10033	153	49	ǩǿșƞƺǿljǔ	ǩǿșƞƺǿljǔ	NOUN
gsjp-10033	153	50	�	�	PROPN
gsjp-10033	153	51	ȅǟ	ȅǟ	NOUN
gsjp-10033	153	52	�	�	PROPN
gsjp-10033	153	53	ljƺșǔ	ljƺșǔ	PROPN
gsjp-10033	153	54	�	�	PROPN
gsjp-10033	153	55	ǿǩșǿƺƞljǧ	ǿǩșǿƺƞljǧ	PROPN
gsjp-10033	153	56	�	�	PROPN
gsjp-10033	153	57	ƺǿǐ	ƺǿǐ	PROPN
gsjp-10033	153	58	�	�	PROPN
gsjp-10033	153	59	ƞǧǔ	ƞǧǔ	NOUN
gsjp-10033	153	60	�	�	PROPN
gsjp-10033	153	61	location	location	NOUN
gsjp-10033	153	62	of	of	ADP
gsjp-10033	153	63	each	each	DET
gsjp-10033	153	64	mismatch	mismatch	NOUN
gsjp-10033	153	65	within	within	ADP
gsjp-10033	153	66	the	the	DET
gsjp-10033	153	67	dataset	dataset	NOUN
gsjp-10033	153	68	.	.	PUNCT
gsjp-10033	154	1	it	it	PRON
gsjp-10033	154	2	also	also	ADV
gsjp-10033	154	3	results	result	VERB
gsjp-10033	154	4	in	in	ADP
gsjp-10033	154	5	a	a	DET
gsjp-10033	154	6	single	single	ADJ
gsjp-10033	154	7	variable	variable	NOUN
gsjp-10033	154	8	that	that	PRON
gsjp-10033	154	9	encoded	encode	VERB
gsjp-10033	154	10	whether	whether	SCONJ
gsjp-10033	154	11	a	a	DET
gsjp-10033	154	12	case	case	NOUN
gsjp-10033	154	13	was	be	AUX
gsjp-10033	154	14	1	1	NUM
gsjp-10033	154	15	)	)	PUNCT
gsjp-10033	154	16	a	a	DET
gsjp-10033	154	17	perfect	perfect	ADJ
gsjp-10033	154	18	match	match	NOUN
gsjp-10033	154	19	between	between	ADP
gsjp-10033	154	20	datasets	dataset	NOUN
gsjp-10033	154	21	2	2	NUM
gsjp-10033	154	22	)	)	PUNCT
gsjp-10033	154	23	a	a	DET
gsjp-10033	154	24	mismatch	mismatch	NOUN
gsjp-10033	154	25	between	between	ADP
gsjp-10033	154	26	datasets	dataset	NOUN
gsjp-10033	154	27	with	with	ADP
gsjp-10033	154	28	non	non	ADJ
gsjp-10033	154	29	-	-	ADJ
gsjp-10033	154	30	matching	matching	ADJ
gsjp-10033	154	31	data	datum	NOUN
gsjp-10033	154	32	3	3	NUM
gsjp-10033	154	33	)	)	PUNCT
gsjp-10033	154	34	unique	unique	ADJ
gsjp-10033	154	35	to	to	ADP
gsjp-10033	154	36	one	one	NUM
gsjp-10033	154	37	dataset	dataset	NOUN
gsjp-10033	154	38	and	and	CCONJ
gsjp-10033	154	39	which	which	DET
gsjp-10033	154	40	original	original	ADJ
gsjp-10033	154	41	dataset	dataset	NOUN
gsjp-10033	154	42	contains	contain	VERB
gsjp-10033	154	43	that	that	DET
gsjp-10033	154	44	unique	unique	ADJ
gsjp-10033	154	45	case	case	NOUN
gsjp-10033	154	46	.	.	PUNCT
gsjp-10033	155	1	alternative	alternative	ADJ
gsjp-10033	155	2	strategies	strategy	NOUN
gsjp-10033	155	3	are	be	AUX
gsjp-10033	155	4	recommended	recommend	VERB
gsjp-10033	155	5	when	when	SCONJ
gsjp-10033	155	6	the	the	DET
gsjp-10033	155	7	datasets	dataset	NOUN
gsjp-10033	155	8	to	to	PART
gsjp-10033	155	9	be	be	AUX
gsjp-10033	155	10	merged	merge	VERB
gsjp-10033	155	11	contain	contain	VERB
gsjp-10033	155	12	overlapping	overlap	VERB
gsjp-10033	155	13	cases	case	NOUN
gsjp-10033	155	14	but	but	CCONJ
gsjp-10033	155	15	no	no	PRON
gsjp-10033	155	16	or	or	CCONJ
gsjp-10033	155	17	few	few	ADJ
gsjp-10033	155	18	shared	share	VERB
gsjp-10033	155	19	variables	variable	NOUN
gsjp-10033	155	20	.	.	PUNCT
gsjp-10033	156	1	references	reference	NOUN
gsjp-10033	156	2	braun	braun	NOUN
gsjp-10033	156	3	,	,	PUNCT
gsjp-10033	156	4	m.	m.	NOUN
gsjp-10033	156	5	t.	t.	PROPN
gsjp-10033	156	6	,	,	PUNCT
gsjp-10033	156	7	kuljanin	kuljanin	NOUN
gsjp-10033	156	8	,	,	PUNCT
gsjp-10033	156	9	g.	g.	PROPN
gsjp-10033	156	10	,	,	PUNCT
gsjp-10033	156	11	&	&	CCONJ
gsjp-10033	156	12	deshon	deshon	PROPN
gsjp-10033	156	13	,	,	PUNCT
gsjp-10033	156	14	r.	r.	PROPN
gsjp-10033	156	15	p.	p.	PROPN
gsjp-10033	156	16	(	(	PUNCT
gsjp-10033	156	17	2018	2018	NUM
gsjp-10033	156	18	)	)	PUNCT
gsjp-10033	156	19	.	.	PUNCT
gsjp-10033	157	1	special	special	ADJ
gsjp-10033	157	2	considerations	consideration	NOUN
gsjp-10033	157	3	for	for	ADP
gsjp-10033	157	4	the	the	DET
gsjp-10033	157	5	acquisition	acquisition	NOUN
gsjp-10033	157	6	and	and	CCONJ
gsjp-10033	157	7	wrangling	wrangling	NOUN
gsjp-10033	157	8	of	of	ADP
gsjp-10033	157	9	big	big	ADJ
gsjp-10033	157	10	data	datum	NOUN
gsjp-10033	157	11	.	.	PUNCT
gsjp-10033	158	1	organizational	organizational	ADJ
gsjp-10033	158	2	research	research	NOUN
gsjp-10033	158	3	methods	method	NOUN
gsjp-10033	158	4	,	,	PUNCT
gsjp-10033	158	5	21(3	21(3	NUM
gsjp-10033	158	6	)	)	PUNCT
gsjp-10033	158	7	,	,	PUNCT
gsjp-10033	158	8	633	633	NUM
gsjp-10033	158	9	-	-	SYM
gsjp-10033	158	10	659	659	NUM
gsjp-10033	158	11	.	.	PUNCT
gsjp-10033	159	1	https://doi	https://doi	NOUN
gsjp-10033	159	2	.	.	PROPN
gsjp-10033	159	3	org/10.1177/1094428117690235	org/10.1177/1094428117690235	PROPN
gsjp-10033	159	4	coleman	coleman	PROPN
gsjp-10033	159	5	,	,	PUNCT
gsjp-10033	159	6	m.	m.	NOUN
gsjp-10033	159	7	(	(	PUNCT
gsjp-10033	159	8	n.d	n.d	PROPN
gsjp-10033	159	9	.	.	PROPN
gsjp-10033	159	10	)	)	PUNCT
gsjp-10033	159	11	.	.	PUNCT
gsjp-10033	160	1	merging	merge	VERB
gsjp-10033	160	2	datasets	dataset	NOUN
gsjp-10033	160	3	in	in	ADP
gsjp-10033	160	4	spss	spss	PROPN
gsjp-10033	160	5	.	.	PUNCT
gsjp-10033	161	1	retrieved	retrieve	VERB
gsjp-10033	161	2	december	december	PROPN
gsjp-10033	161	3	12	12	NUM
gsjp-10033	161	4	,	,	PUNCT
gsjp-10033	161	5	2017	2017	NUM
gsjp-10033	161	6	,	,	PUNCT
gsjp-10033	161	7	from	from	ADP
gsjp-10033	161	8	http://www.d.umn.edu/~mcoleman/tutorials/spss/merge	http://www.d.umn.edu/~mcoleman/tutorials/spss/merge	PROPN
gsjp-10033	161	9	.	.	PUNCT
gsjp-10033	161	10	html	html	PROPN
gsjp-10033	161	11	coyer	coyer	PROPN
gsjp-10033	161	12	,	,	PUNCT
gsjp-10033	161	13	l.	l.	PROPN
gsjp-10033	161	14	(	(	PUNCT
gsjp-10033	161	15	2013	2013	NUM
gsjp-10033	161	16	,	,	PUNCT
gsjp-10033	161	17	april	april	PROPN
gsjp-10033	161	18	20	20	NUM
gsjp-10033	161	19	)	)	PUNCT
gsjp-10033	161	20	.	.	PUNCT
gsjp-10033	162	1	/ȥ͡	/ȥ͡	PUNCT
gsjp-10033	162	2	�	�	PROPN
gsjp-10033	162	3	ǩǚȟ	ǩǚȟ	PROPN
gsjp-10033	162	4	�	�	PROPN
gsjp-10033	162	5	ͧȥɂ	ͧȥɂ	PROPN
gsjp-10033	162	6	�	�	PROPN
gsjp-10033	162	7	ȝdzȵǿdz	ȝdzȵǿdz	PROPN
gsjp-10033	162	8	�	�	PROPN
gsjp-10033	162	9	ȿ͡ȥ	ȿ͡ȥ	NOUN
gsjp-10033	162	10	�	�	NOUN
gsjp-10033	162	11	ϫșdzȸ	ϫșdzȸ	NOUN
gsjp-10033	162	12	�	�	PROPN
gsjp-10033	162	13	in	in	ADP
gsjp-10033	162	14	spss	spss	PROPN
gsjp-10033	162	15	when	when	SCONJ
gsjp-10033	162	16	the	the	DET
gsjp-10033	162	17	cases	case	NOUN
gsjp-10033	162	18	are	be	AUX
gsjp-10033	162	19	not	not	PART
gsjp-10033	162	20	perfectly	perfectly	ADV
gsjp-10033	162	21	the	the	DET
gsjp-10033	162	22	same	same	ADJ
gsjp-10033	162	23	?	?	PUNCT
gsjp-10033	163	1	[	[	X
gsjp-10033	163	2	online	online	ADJ
gsjp-10033	163	3	forum	forum	PROPN
gsjp-10033	163	4	post	post	NOUN
gsjp-10033	163	5	]	]	PROPN
gsjp-10033	163	6	.	.	PUNCT
gsjp-10033	164	1	researchgate	researchgate	NOUN
gsjp-10033	164	2	.	.	PUNCT
gsjp-10033	165	1	retrieved	retrieve	VERB
gsjp-10033	165	2	december	december	PROPN
gsjp-10033	165	3	12	12	NUM
gsjp-10033	165	4	,	,	PUNCT
gsjp-10033	165	5	2017	2017	NUM
gsjp-10033	165	6	,	,	PUNCT
gsjp-10033	165	7	from	from	ADP
gsjp-10033	165	8	https://www.researchǡƺƞǔঀǿǔƞইȓȅșƞই/ȅλউljƺǿউρȅȣউǿǔȗǡǔউƞλȅউйǹǔșউ	https://www.researchǡƺƞǔঀǿǔƞইȓȅșƞই/ȅλউljƺǿউρȅȣউǿǔȗǡǔউƞλȅউйǹǔșউ	ADV
gsjp-10033	165	9	in_spss_when_the_cases_are_not_perfectly	in_spss_when_the_cases_are_not_perfectly	ADV
gsjp-10033	165	10	_	_	PRON
gsjp-10033	165	11	the_same	the_same	NOUN
gsjp-10033	165	12	.	.	PUNCT
gsjp-10033	166	1	decator	decator	PROPN
gsjp-10033	166	2	,	,	PUNCT
gsjp-10033	166	3	d.	d.	PROPN
gsjp-10033	166	4	d.	d.	PROPN
gsjp-10033	166	5	(	(	PUNCT
gsjp-10033	166	6	2015	2015	NUM
gsjp-10033	166	7	,	,	PUNCT
gsjp-10033	166	8	february	february	PROPN
gsjp-10033	166	9	8)	8)	NUM
gsjp-10033	166	10	.	.	PUNCT
gsjp-10033	167	1	spss	spss	PROPN
gsjp-10033	167	2	syntax	syntax	PROPN
gsjp-10033	167	3	part	part	NOUN
gsjp-10033	167	4	4	4	NUM
gsjp-10033	167	5	:	:	PUNCT
gsjp-10033	167	6	double	double	ADJ
gsjp-10033	167	7	entry	entry	NOUN
gsjp-10033	167	8	comparison	comparison	NOUN
gsjp-10033	167	9	.	.	PUNCT
gsjp-10033	168	1	retrieved	retrieve	VERB
gsjp-10033	168	2	october	october	PROPN
gsjp-10033	168	3	12	12	NUM
gsjp-10033	168	4	,	,	PUNCT
gsjp-10033	168	5	2017	2017	NUM
gsjp-10033	168	6	,	,	PUNCT
gsjp-10033	168	7	from	from	ADP
gsjp-10033	168	8	https://www.ddecator	https://www.ddecator	PROPN
gsjp-10033	168	9	.	.	PUNCT
gsjp-10033	168	10	com	com	NOUN
gsjp-10033	168	11	/	/	SYM
gsjp-10033	168	12	blog/2015/2	blog/2015/2	PROPN
gsjp-10033	168	13	/	/	SYM
gsjp-10033	168	14	spss	spss	ADJ
gsjp-10033	168	15	-	-	PUNCT
gsjp-10033	168	16	syntax	syntax	NOUN
gsjp-10033	168	17	-	-	PUNCT
gsjp-10033	168	18	part-4	part-4	NUM
gsjp-10033	168	19	-	-	PUNCT
gsjp-10033	168	20	double	double	ADJ
gsjp-10033	168	21	-	-	PUNCT
gsjp-10033	168	22	entry	entry	NOUN
gsjp-10033	168	23	-	-	PUNCT
gsjp-10033	168	24	comparison	comparison	NOUN
gsjp-10033	168	25	endel	endel	PROPN
gsjp-10033	168	26	,	,	PUNCT
gsjp-10033	168	27	f.	f.	PROPN
gsjp-10033	168	28	,	,	PUNCT
gsjp-10033	168	29	&	&	CCONJ
gsjp-10033	168	30	piringer	piringer	PROPN
gsjp-10033	168	31	,	,	PUNCT
gsjp-10033	168	32	h.	h.	PROPN
gsjp-10033	168	33	(	(	PUNCT
gsjp-10033	168	34	2015	2015	NUM
gsjp-10033	168	35	)	)	PUNCT
gsjp-10033	168	36	.	.	PUNCT
gsjp-10033	169	1	data	datum	NOUN
gsjp-10033	169	2	wrangling	wrangle	VERB
gsjp-10033	169	3	:	:	PUNCT
gsjp-10033	169	4	making	make	VERB
gsjp-10033	169	5	data	datum	NOUN
gsjp-10033	169	6	useful	useful	ADJ
gsjp-10033	169	7	again	again	ADV
gsjp-10033	169	8	.	.	PUNCT
gsjp-10033	170	1	ifac	ifac	NOUN
gsjp-10033	170	2	-	-	PUNCT
gsjp-10033	170	3	papersonline	papersonline	NOUN
gsjp-10033	170	4	,	,	PUNCT
gsjp-10033	170	5	48(1	48(1	NOUN
gsjp-10033	170	6	)	)	PUNCT
gsjp-10033	170	7	,	,	PUNCT
gsjp-10033	170	8	111	111	NUM
gsjp-10033	170	9	-	-	SYM
gsjp-10033	170	10	112	112	NUM
gsjp-10033	170	11	.	.	PUNCT
gsjp-10033	171	1	https://doi.org/10.1016/j.ifacol.2015.05.197	https://doi.org/10.1016/j.ifacol.2015.05.197	PROPN
gsjp-10033	171	2	foley	foley	PROPN
gsjp-10033	171	3	,	,	PUNCT
gsjp-10033	171	4	m.	m.	NOUN
gsjp-10033	171	5	j.	j.	PROPN
gsjp-10033	171	6	(	(	PUNCT
gsjp-10033	171	7	1998	1998	NUM
gsjp-10033	171	8	)	)	PUNCT
gsjp-10033	171	9	.	.	PUNCT
gsjp-10033	172	1	match	match	VERB
gsjp-10033	172	2	-	-	PUNCT
gsjp-10033	172	3	merging	merging	NOUN
gsjp-10033	172	4	:	:	PUNCT
gsjp-10033	172	5	20	20	NUM
gsjp-10033	172	6	some	some	DET
gsjp-10033	172	7	traps	trap	NOUN
gsjp-10033	172	8	and	and	CCONJ
gsjp-10033	172	9	how	how	SCONJ
gsjp-10033	172	10	to	to	PART
gsjp-10033	172	11	avoid	avoid	VERB
gsjp-10033	172	12	them	they	PRON
gsjp-10033	172	13	.	.	PUNCT
gsjp-10033	173	1	in	in	ADP
gsjp-10033	173	2	the	the	DET
gsjp-10033	173	3	proceedings	proceeding	NOUN
gsjp-10033	173	4	of	of	ADP
gsjp-10033	173	5	the	the	DET
gsjp-10033	173	6	23rd	23rd	ADJ
gsjp-10033	173	7	annual	annual	ADJ
gsjp-10033	173	8	sas	sas	PROPN
gsjp-10033	173	9	users	user	NOUN
gsjp-10033	173	10	group	group	PROPN
gsjp-10033	173	11	international	international	ADJ
gsjp-10033	173	12	conference	conference	NOUN
gsjp-10033	173	13	(	(	PUNCT
gsjp-10033	173	14	pp	pp	ADJ
gsjp-10033	173	15	.	.	PUNCT
gsjp-10033	174	1	277	277	NUM
gsjp-10033	174	2	-	-	PUNCT
gsjp-10033	174	3	286	286	NUM
gsjp-10033	174	4	)	)	PUNCT
gsjp-10033	174	5	.	.	PUNCT
gsjp-10033	175	1	retrieved	retrieve	VERB
gsjp-10033	175	2	from	from	ADP
gsjp-10033	175	3	https://	https://	PROPN
gsjp-10033	175	4	support.sas.com/resources/papers/proceedings/	support.sas.com/resources/papers/proceedings/	PROPN
gsjp-10033	175	5	proceedings	proceeding	NOUN
gsjp-10033	175	6	/	/	SYM
gsjp-10033	175	7	sugi23	sugi23	NOUN
gsjp-10033	175	8	/	/	SYM
gsjp-10033	175	9	advtutor	advtutor	NOUN
gsjp-10033	175	10	/	/	SYM
gsjp-10033	175	11	p47.pdf	p47.pdf	PROPN
gsjp-10033	175	12	foley	foley	NOUN
gsjp-10033	175	13	,	,	PUNCT
gsjp-10033	175	14	m.	m.	NOUN
gsjp-10033	175	15	j.	j.	PROPN
gsjp-10033	175	16	(	(	PUNCT
gsjp-10033	175	17	2005	2005	NUM
gsjp-10033	175	18	)	)	PUNCT
gsjp-10033	175	19	.	.	PUNCT
gsjp-10033	176	1	merging	merge	VERB
gsjp-10033	176	2	vs.	vs.	ADP
gsjp-10033	176	3	joining	join	VERB
gsjp-10033	176	4	:	:	PUNCT
gsjp-10033	176	5	comparing	compare	VERB
gsjp-10033	176	6	the	the	DET
gsjp-10033	176	7	data	datum	NOUN
gsjp-10033	176	8	step	step	NOUN
gsjp-10033	176	9	with	with	ADP
gsjp-10033	176	10	sql	sql	PROPN
gsjp-10033	176	11	.	.	PUNCT
gsjp-10033	177	1	in	in	ADP
gsjp-10033	177	2	the	the	DET
gsjp-10033	177	3	proceedings	proceeding	NOUN
gsjp-10033	177	4	of	of	ADP
gsjp-10033	177	5	the	the	DET
gsjp-10033	177	6	30th	30th	ADJ
gsjp-10033	177	7	annual	annual	ADJ
gsjp-10033	177	8	sas	sas	PROPN
gsjp-10033	177	9	users	user	NOUN
gsjp-10033	177	10	group	group	PROPN
gsjp-10033	177	11	international	international	ADJ
gsjp-10033	177	12	conference	conference	NOUN
gsjp-10033	177	13	(	(	PUNCT
gsjp-10033	177	14	pp	pp	ADJ
gsjp-10033	177	15	.	.	PUNCT
gsjp-10033	178	1	184–200	184–200	NUM
gsjp-10033	178	2	)	)	PUNCT
gsjp-10033	178	3	.	.	PUNCT
gsjp-10033	179	1	retrieved	retrieve	VERB
gsjp-10033	179	2	from	from	ADP
gsjp-10033	179	3	http://	http://	PROPN
gsjp-10033	179	4	www.scsug.org/scsugproceedings/2005/foley_merging	www.scsug.org/scsugproceedings/2005/foley_merge	VERB
gsjp-10033	179	5	vs	vs	ADP
gsjp-10033	179	6	joining	join	VERB
gsjp-10033	179	7	184.pdf	184.pdf	PROPN
gsjp-10033	179	8	glynn	glynn	PROPN
gsjp-10033	179	9	,	,	PUNCT
gsjp-10033	179	10	p.	p.	PROPN
gsjp-10033	179	11	(	(	PUNCT
gsjp-10033	179	12	2002	2002	NUM
gsjp-10033	179	13	)	)	PUNCT
gsjp-10033	179	14	.	.	PUNCT
gsjp-10033	180	1	spss	spss	PROPN
gsjp-10033	180	2	for	for	ADP
gsjp-10033	180	3	social	social	ADJ
gsjp-10033	180	4	science	science	NOUN
gsjp-10033	180	5	research	research	NOUN
gsjp-10033	180	6	using	use	VERB
gsjp-10033	180	7	syntax	syntax	NOUN
gsjp-10033	180	8	.	.	PUNCT
gsjp-10033	181	1	retrieved	retrieve	VERB
gsjp-10033	181	2	december	december	PROPN
gsjp-10033	181	3	12	12	NUM
gsjp-10033	181	4	,	,	PUNCT
gsjp-10033	181	5	2017	2017	NUM
gsjp-10033	181	6	from	from	ADP
gsjp-10033	181	7	ǧƞƞȓॸইইșƞƺаঀλƺșǧǩǿǡƞȅǿঀǔǐȣইǡǹρǿǿইșȓșșljǹƺșই	ǧƞƞȓॸইইșƞƺаঀλƺșǧǩǿǡƞȅǿঀǔǐȣইǡǹρǿǿইșȓșșljǹƺșই	PROPN
gsjp-10033	181	8	�	�	PROPN
gsjp-10033	181	9	guha	guha	PROPN
gsjp-10033	181	10	,	,	PUNCT
gsjp-10033	181	11	s.	s.	PROPN
gsjp-10033	181	12	,	,	PUNCT
gsjp-10033	181	13	kidwell	kidwell	NOUN
gsjp-10033	181	14	,	,	PUNCT
gsjp-10033	181	15	p.	p.	PROPN
gsjp-10033	181	16	,	,	PUNCT
gsjp-10033	181	17	hafen	hafen	PROPN
gsjp-10033	181	18	,	,	PUNCT
gsjp-10033	181	19	r.p	r.p	PROPN
gsjp-10033	181	20	.	.	PROPN
gsjp-10033	181	21	,	,	PUNCT
gsjp-10033	181	22	&	&	CCONJ
gsjp-10033	181	23	cleveland	cleveland	PROPN
gsjp-10033	181	24	w.s	w.s	PROPN
gsjp-10033	181	25	.	.	PUNCT
gsjp-10033	182	1	(	(	PUNCT
gsjp-10033	182	2	2009	2009	NUM
gsjp-10033	182	3	)	)	PUNCT
gsjp-10033	182	4	.	.	PUNCT
gsjp-10033	183	1	visualization	visualization	NOUN
gsjp-10033	183	2	databases	database	NOUN
gsjp-10033	183	3	for	for	ADP
gsjp-10033	183	4	the	the	DET
gsjp-10033	183	5	analysis	analysis	NOUN
gsjp-10033	183	6	of	of	ADP
gsjp-10033	183	7	large	large	ADJ
gsjp-10033	183	8	complex	complex	ADJ
gsjp-10033	183	9	datasets	dataset	NOUN
gsjp-10033	183	10	.	.	PUNCT
gsjp-10033	184	1	proceedings	proceeding	NOUN
gsjp-10033	184	2	of	of	ADP
gsjp-10033	184	3	the	the	DET
gsjp-10033	184	4	12th	12th	ADJ
gsjp-10033	184	5	2ǿƞǔȗǿƺƞǩȅǿƺǹ	2ǿƞǔȗǿƺƞǩȅǿƺǹ	NUM
gsjp-10033	184	6	�	�	PROPN
gsjp-10033	184	7	�	�	PROPN
gsjp-10033	184	8	ȅǿǟǔȗǔǿljǔ	ȅǿǟǔȗǔǿljǔ	ADJ
gsjp-10033	184	9	�	�	PROPN
gsjp-10033	184	10	ȅǿ	ȅǿ	NUM
gsjp-10033	184	11	�	�	PROPN
gsjp-10033	184	12	�	�	PROPN
gsjp-10033	184	13	ȗƞǩйljǩƺǹ	ȗƞǩйljǩƺǹ	PROPN
gsjp-10033	184	14	�	�	PROPN
gsjp-10033	184	15	2ǿƞǔǹǹǩgence	2ǿƞǔǹǹǩgence	NUM
gsjp-10033	184	16	and	and	CCONJ
gsjp-10033	184	17	statistics	statistic	NOUN
gsjp-10033	184	18	(	(	PUNCT
gsjp-10033	184	19	aistats	aistat	NOUN
gsjp-10033	184	20	)	)	PUNCT
gsjp-10033	184	21	,	,	PUNCT
gsjp-10033	184	22	usa	usa	PROPN
gsjp-10033	184	23	,	,	PUNCT
gsjp-10033	184	24	193	193	NUM
gsjp-10033	184	25	-	-	SYM
gsjp-10033	184	26	200	200	NUM
gsjp-10033	184	27	.	.	PUNCT
gsjp-10033	184	28	retrieved	retrieve	VERB
gsjp-10033	184	29	october	october	PROPN
gsjp-10033	184	30	20	20	NUM
gsjp-10033	184	31	,	,	PUNCT
gsjp-10033	184	32	2022	2022	NUM
gsjp-10033	184	33	from	from	ADP
gsjp-10033	184	34	https://proceedings.mlr.press/v5/guillory09a.html	https://proceedings.mlr.press/v5/guillory09a.html	PROPN
gsjp-10033	184	35	.	.	PROPN
gsjp-10033	184	36	haddaway	haddaway	PROPN
gsjp-10033	184	37	,	,	PUNCT
gsjp-10033	184	38	n.	n.	PROPN
gsjp-10033	184	39	r.	r.	PROPN
gsjp-10033	184	40	,	,	PUNCT
gsjp-10033	184	41	collins	collins	PROPN
gsjp-10033	184	42	,	,	PUNCT
gsjp-10033	184	43	a.	a.	NOUN
gsjp-10033	184	44	m.	m.	NOUN
gsjp-10033	184	45	,	,	PUNCT
gsjp-10033	184	46	coughlin	coughlin	PROPN
gsjp-10033	184	47	,	,	PUNCT
gsjp-10033	184	48	d.	d.	PROPN
gsjp-10033	184	49	,	,	PUNCT
gsjp-10033	184	50	&	&	CCONJ
gsjp-10033	184	51	kirk	kirk	PROPN
gsjp-10033	184	52	,	,	PUNCT
gsjp-10033	184	53	s.	s.	PROPN
gsjp-10033	184	54	(	(	PUNCT
gsjp-10033	184	55	2015	2015	NUM
gsjp-10033	184	56	)	)	PUNCT
gsjp-10033	184	57	.	.	PUNCT
gsjp-10033	185	1	the	the	DET
gsjp-10033	185	2	role	role	NOUN
gsjp-10033	185	3	of	of	ADP
gsjp-10033	185	4	google	google	PROPN
gsjp-10033	185	5	scholar	scholar	NOUN
gsjp-10033	185	6	in	in	ADP
gsjp-10033	185	7	evidence	evidence	NOUN
gsjp-10033	185	8	reviews	review	NOUN
gsjp-10033	185	9	and	and	CCONJ
gsjp-10033	185	10	its	its	PRON
gsjp-10033	185	11	applicability	applicability	NOUN
gsjp-10033	185	12	to	to	ADP
gsjp-10033	185	13	grey	grey	PROPN
gsjp-10033	185	14	literature	literature	PROPN
gsjp-10033	185	15	searching	searching	PROPN
gsjp-10033	185	16	.	.	PUNCT
gsjp-10033	186	1	plos	plos	PROPN
gsjp-10033	186	2	one	one	NUM
gsjp-10033	186	3	,	,	PUNCT
gsjp-10033	186	4	10(9	10(9	NUM
gsjp-10033	186	5	)	)	PUNCT
gsjp-10033	186	6	.	.	PUNCT
gsjp-10033	187	1	https://doi	https://doi	PROPN
gsjp-10033	187	2	.	.	PUNCT
gsjp-10033	188	1	org/10.1371	org/10.1371	PROPN
gsjp-10033	188	2	/	/	SYM
gsjp-10033	188	3	journal.pone.0138237	journal.pone.0138237	PROPN
gsjp-10033	188	4	haghighat	haghighat	PROPN
gsjp-10033	188	5	,	,	PUNCT
gsjp-10033	188	6	m.	m.	NOUN
gsjp-10033	188	7	,	,	PUNCT
gsjp-10033	188	8	abdel	abdel	NOUN
gsjp-10033	188	9	-	-	PUNCT
gsjp-10033	188	10	mottaleb	mottaleb	PROPN
gsjp-10033	188	11	,	,	PUNCT
gsjp-10033	188	12	m.	m.	NOUN
gsjp-10033	188	13	,	,	PUNCT
gsjp-10033	188	14	&	&	CCONJ
gsjp-10033	188	15	alhalabi	alhalabi	PROPN
gsjp-10033	188	16	,	,	PUNCT
gsjp-10033	188	17	w.	w.	PROPN
gsjp-10033	188	18	(	(	PUNCT
gsjp-10033	188	19	2016	2016	NUM
gsjp-10033	188	20	)	)	PUNCT
gsjp-10033	188	21	.	.	PUNCT
gsjp-10033	189	1	discriminant	discriminant	ADJ
gsjp-10033	189	2	correlation	correlation	NOUN
gsjp-10033	189	3	analysis	analysis	NOUN
gsjp-10033	189	4	:	:	PUNCT
gsjp-10033	189	5	real	real	ADJ
gsjp-10033	189	6	-	-	PUNCT
gsjp-10033	189	7	time	time	NOUN
gsjp-10033	189	8	feature	feature	NOUN
gsjp-10033	189	9	level	level	NOUN
gsjp-10033	189	10	fusion	fusion	NOUN
gsjp-10033	189	11	for	for	ADP
gsjp-10033	189	12	multimodal	multimodal	ADJ
gsjp-10033	189	13	biometric	biometric	ADJ
gsjp-10033	189	14	recognition	recognition	NOUN
gsjp-10033	189	15	.	.	PUNCT
gsjp-10033	190	1	ieee	ieee	NOUN
gsjp-10033	190	2	transactions	transaction	NOUN
gsjp-10033	190	3	on	on	ADP
gsjp-10033	190	4	merging	merge	VERB
gsjp-10033	190	5	multiple	multiple	ADJ
gsjp-10033	190	6	and/or	and/or	CCONJ
gsjp-10033	190	7	divergent	divergent	ADJ
gsjp-10033	190	8	datasets	dataset	NOUN
gsjp-10033	190	9	in	in	ADP
gsjp-10033	190	10	spss	spss	PROPN
gsjp-10033	190	11	12	12	NUM
gsjp-10033	190	12	audette	audette	PROPN
gsjp-10033	190	13	et	et	PROPN
gsjp-10033	190	14	al	al	PROPN
gsjp-10033	190	15	.	.	PROPN
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gsjp-10033	190	17	forensics	forensic	NOUN
gsjp-10033	190	18	and	and	CCONJ
gsjp-10033	190	19	security	security	NOUN
gsjp-10033	190	20	,	,	PUNCT
gsjp-10033	190	21	11(9	11(9	PROPN
gsjp-10033	190	22	)	)	PUNCT
gsjp-10033	190	23	,	,	PUNCT
gsjp-10033	190	24	1984–1996	1984–1996	NUM
gsjp-10033	190	25	.	.	PUNCT
gsjp-10033	191	1	https://doi.org/10.1109/tifs.2016.2569061	https://doi.org/10.1109/tifs.2016.2569061	PROPN
gsjp-10033	191	2	ibm	ibm	PROPN
gsjp-10033	191	3	corp	corp	PROPN
gsjp-10033	191	4	.	.	PROPN
gsjp-10033	191	5	(	(	PUNCT
gsjp-10033	191	6	2015	2015	NUM
gsjp-10033	191	7	)	)	PUNCT
gsjp-10033	191	8	.	.	PUNCT
gsjp-10033	192	1	ibm	ibm	PROPN
gsjp-10033	192	2	spss	spss	PROPN
gsjp-10033	192	3	statistics	statistic	NOUN
gsjp-10033	192	4	for	for	ADP
gsjp-10033	192	5	windows	window	NOUN
gsjp-10033	192	6	(	(	PUNCT
gsjp-10033	192	7	version	version	NOUN
gsjp-10033	192	8	23.0	23.0	NUM
gsjp-10033	192	9	)	)	PUNCT
gsjp-10033	193	1	[	[	X
gsjp-10033	193	2	computer	computer	NOUN
gsjp-10033	193	3	software	software	NOUN
gsjp-10033	193	4	]	]	PUNCT
gsjp-10033	193	5	.	.	PUNCT
gsjp-10033	194	1	ibm	ibm	PROPN
gsjp-10033	194	2	corp	corp	PROPN
gsjp-10033	194	3	.	.	PROPN
gsjp-10033	194	4	ibm	ibm	PROPN
gsjp-10033	194	5	corp	corp	PROPN
gsjp-10033	194	6	.	.	PROPN
gsjp-10033	194	7	(	(	PUNCT
gsjp-10033	194	8	2017	2017	NUM
gsjp-10033	194	9	)	)	PUNCT
gsjp-10033	194	10	.	.	PUNCT
gsjp-10033	195	1	ibm	ibm	PROPN
gsjp-10033	195	2	spss	spss	PROPN
gsjp-10033	195	3	statistics	statistic	NOUN
gsjp-10033	195	4	for	for	ADP
gsjp-10033	195	5	windows	window	NOUN
gsjp-10033	195	6	(	(	PUNCT
gsjp-10033	195	7	version	version	NOUN
gsjp-10033	195	8	25.0	25.0	NUM
gsjp-10033	195	9	)	)	PUNCT
gsjp-10033	196	1	[	[	X
gsjp-10033	196	2	computer	computer	NOUN
gsjp-10033	196	3	software	software	NOUN
gsjp-10033	196	4	]	]	PUNCT
gsjp-10033	196	5	.	.	PUNCT
gsjp-10033	197	1	ibm	ibm	PROPN
gsjp-10033	197	2	corp	corp	PROPN
gsjp-10033	197	3	.	.	PROPN
gsjp-10033	197	4	ibm	ibm	PROPN
gsjp-10033	197	5	corp	corp	PROPN
gsjp-10033	197	6	.	.	PROPN
gsjp-10033	197	7	(	(	PUNCT
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gsjp-10033	197	9	)	)	PUNCT
gsjp-10033	197	10	.	.	PUNCT
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gsjp-10033	198	2	spss	spss	PROPN
gsjp-10033	198	3	statistics	statistic	NOUN
gsjp-10033	198	4	for	for	ADP
gsjp-10033	198	5	windows	window	NOUN
gsjp-10033	198	6	(	(	PUNCT
gsjp-10033	198	7	version	version	NOUN
gsjp-10033	198	8	27.0	27.0	NUM
gsjp-10033	198	9	)	)	PUNCT
gsjp-10033	199	1	[	[	X
gsjp-10033	199	2	computer	computer	NOUN
gsjp-10033	199	3	software	software	NOUN
gsjp-10033	199	4	]	]	PUNCT
gsjp-10033	199	5	.	.	PUNCT
gsjp-10033	200	1	ibm	ibm	PROPN
gsjp-10033	200	2	corp	corp	PROPN
gsjp-10033	200	3	.	.	PROPN
gsjp-10033	200	4	ibm	ibm	PROPN
gsjp-10033	200	5	corp	corp	PROPN
gsjp-10033	200	6	.	.	PROPN
gsjp-10033	200	7	(	(	PUNCT
gsjp-10033	200	8	2021	2021	NUM
gsjp-10033	200	9	)	)	PUNCT
gsjp-10033	200	10	.	.	PUNCT
gsjp-10033	201	1	ibm	ibm	PROPN
gsjp-10033	201	2	spss	spss	PROPN
gsjp-10033	201	3	statistics	statistic	NOUN
gsjp-10033	201	4	for	for	ADP
gsjp-10033	201	5	windows	window	NOUN
gsjp-10033	201	6	(	(	PUNCT
gsjp-10033	201	7	version	version	NOUN
gsjp-10033	201	8	28.0	28.0	NUM
gsjp-10033	201	9	)	)	PUNCT
gsjp-10033	202	1	[	[	X
gsjp-10033	202	2	computer	computer	NOUN
gsjp-10033	202	3	software	software	NOUN
gsjp-10033	202	4	]	]	PUNCT
gsjp-10033	202	5	.	.	PUNCT
gsjp-10033	203	1	ibm	ibm	PROPN
gsjp-10033	203	2	corp	corp	PROPN
gsjp-10033	203	3	.	.	PROPN
gsjp-10033	203	4	ibm	ibm	PROPN
gsjp-10033	203	5	corp	corp	PROPN
gsjp-10033	203	6	.	.	PROPN
gsjp-10033	203	7	(	(	PUNCT
gsjp-10033	203	8	n.d	n.d	PROPN
gsjp-10033	203	9	.	.	PROPN
gsjp-10033	203	10	)	)	PUNCT
gsjp-10033	203	11	.	.	PUNCT
gsjp-10033	204	1	merging	merge	VERB
gsjp-10033	204	2	data	data	NOUN
gsjp-10033	204	3	files	file	NOUN
gsjp-10033	204	4	.	.	PUNCT
gsjp-10033	205	1	retrieved	retrieve	VERB
gsjp-10033	205	2	december	december	PROPN
gsjp-10033	205	3	12	12	NUM
gsjp-10033	205	4	,	,	PUNCT
gsjp-10033	205	5	2017	2017	NUM
gsjp-10033	205	6	from	from	ADP
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gsjp-10033	205	8	support	support	NOUN
gsjp-10033	205	9	/	/	SYM
gsjp-10033	205	10	knowledgecenter	knowledgecenter	NOUN
gsjp-10033	205	11	/	/	SYM
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gsjp-10033	205	13	/	/	SYM
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gsjp-10033	205	18	/	/	SYM
gsjp-10033	205	19	idh_idd_add	idh_idd_add	NOUN
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gsjp-10033	205	22	ojeda	ojeda	PROPN
gsjp-10033	205	23	,	,	PUNCT
gsjp-10033	205	24	t.	t.	PROPN
gsjp-10033	205	25	,	,	PUNCT
gsjp-10033	205	26	dasgupta	dasgupta	PROPN
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gsjp-10033	205	28	a.	a.	NOUN
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gsjp-10033	205	31	,	,	PUNCT
gsjp-10033	205	32	b.	b.	PROPN
gsjp-10033	205	33	,	,	PUNCT
gsjp-10033	205	34	&	&	CCONJ
gsjp-10033	205	35	murphy	murphy	PROPN
gsjp-10033	205	36	,	,	PUNCT
gsjp-10033	205	37	s.	s.	PROPN
gsjp-10033	205	38	p.	p.	PROPN
gsjp-10033	205	39	(	(	PUNCT
gsjp-10033	205	40	2014	2014	NUM
gsjp-10033	205	41	)	)	PUNCT
gsjp-10033	205	42	.	.	PUNCT
gsjp-10033	206	1	practical	practical	ADJ
gsjp-10033	206	2	data	datum	NOUN
gsjp-10033	206	3	science	science	NOUN
gsjp-10033	206	4	cookbook	cookbook	NOUN
gsjp-10033	206	5	.	.	PUNCT
gsjp-10033	207	1	packt	packt	PROPN
gsjp-10033	207	2	publishing	publishing	PROPN
gsjp-10033	207	3	.	.	PUNCT
gsjp-10033	208	1	rattenbury	rattenbury	NOUN
gsjp-10033	208	2	,	,	PUNCT
gsjp-10033	208	3	t.	t.	PROPN
gsjp-10033	208	4	,	,	PUNCT
gsjp-10033	208	5	hellerstein	hellerstein	PROPN
gsjp-10033	208	6	,	,	PUNCT
gsjp-10033	208	7	j.	j.	PROPN
gsjp-10033	208	8	m.	m.	PROPN
gsjp-10033	208	9	,	,	PUNCT
gsjp-10033	208	10	heer	heer	PROPN
gsjp-10033	208	11	,	,	PUNCT
gsjp-10033	208	12	j.	j.	PROPN
gsjp-10033	208	13	,	,	PUNCT
gsjp-10033	208	14	kandel	kandel	PROPN
gsjp-10033	208	15	,	,	PUNCT
gsjp-10033	208	16	s.	s.	PROPN
gsjp-10033	208	17	,	,	PUNCT
gsjp-10033	208	18	&	&	CCONJ
gsjp-10033	208	19	carreras	carreras	PROPN
gsjp-10033	208	20	,	,	PUNCT
gsjp-10033	208	21	c.	c.	NOUN
gsjp-10033	208	22	(	(	PUNCT
gsjp-10033	208	23	2017	2017	NUM
gsjp-10033	208	24	)	)	PUNCT
gsjp-10033	208	25	.	.	PUNCT
gsjp-10033	209	1	principles	principle	NOUN
gsjp-10033	209	2	of	of	ADP
gsjp-10033	209	3	data	datum	NOUN
gsjp-10033	209	4	wrangling	wrangle	VERB
gsjp-10033	209	5	:	:	PUNCT
gsjp-10033	209	6	practical	practical	ADJ
gsjp-10033	209	7	techniques	technique	NOUN
gsjp-10033	209	8	for	for	ADP
gsjp-10033	209	9	data	data	NOUN
gsjp-10033	209	10	preparation	preparation	NOUN
gsjp-10033	209	11	.	.	PUNCT
gsjp-10033	210	1	o’reilly	o’reilly	ADV
gsjp-10033	210	2	media	medium	NOUN
gsjp-10033	210	3	.	.	PUNCT
gsjp-10033	211	1	spss-tutorials.com	spss-tutorials.com	X
gsjp-10033	211	2	.	.	PUNCT
gsjp-10033	212	1	(	(	PUNCT
gsjp-10033	212	2	n.d	n.d	PROPN
gsjp-10033	212	3	.	.	PROPN
gsjp-10033	212	4	)	)	PUNCT
gsjp-10033	212	5	.	.	PUNCT
gsjp-10033	213	1	merging	merge	VERB
gsjp-10033	213	2	data	data	NOUN
gsjp-10033	213	3	files	file	NOUN
gsjp-10033	213	4	in	in	ADP
gsjp-10033	213	5	spss	spss	PROPN
gsjp-10033	213	6	.	.	PUNCT
gsjp-10033	214	1	retrieved	retrieve	VERB
gsjp-10033	214	2	december	december	PROPN
gsjp-10033	214	3	12	12	NUM
gsjp-10033	214	4	,	,	PUNCT
gsjp-10033	214	5	2017	2017	NUM
gsjp-10033	214	6	from	from	ADP
gsjp-10033	214	7	https://www	https://www	PROPN
gsjp-10033	214	8	.	.	PUNCT
gsjp-10033	215	1	șȓșșেƞȣƞȅȗǩƺǹșঀljȅǿইǿǔȗǡǩǿǡেǐƺƞƺেйǹǔșই	șȓșșেƞȣƞȅȗǩƺǹșঀljȅǿইǿǔȗǡǩǿǡেǐƺƞƺেйǹǔșই	NUM
gsjp-10033	215	2	�	�	PROPN
gsjp-10033	215	3	stehlik	stehlik	PROPN
gsjp-10033	215	4	-	-	PUNCT
gsjp-10033	215	5	barry	barry	PROPN
gsjp-10033	215	6	,	,	PUNCT
gsjp-10033	215	7	k.	k.	PROPN
gsjp-10033	215	8	&	&	CCONJ
gsjp-10033	215	9	babinec	babinec	PROPN
gsjp-10033	215	10	,	,	PUNCT
gsjp-10033	215	11	a.	a.	PROPN
gsjp-10033	215	12	j.	j.	PROPN
gsjp-10033	215	13	(	(	PUNCT
gsjp-10033	215	14	2017	2017	NUM
gsjp-10033	215	15	)	)	PUNCT
gsjp-10033	215	16	.	.	PUNCT
gsjp-10033	216	1	data	datum	NOUN
gsjp-10033	216	2	analytics	analytic	NOUN
gsjp-10033	216	3	with	with	ADP
gsjp-10033	216	4	ibm	ibm	PROPN
gsjp-10033	216	5	spss	spss	PROPN
gsjp-10033	216	6	statistics	statistic	NOUN
gsjp-10033	216	7	.	.	PUNCT
gsjp-10033	217	1	packt	packt	PROPN
gsjp-10033	217	2	publishing	publishing	PROPN
gsjp-10033	217	3	.	.	PUNCT
gsjp-10033	218	1	truong	truong	PROPN
gsjp-10033	218	2	,	,	PUNCT
gsjp-10033	218	3	d.	d.	PROPN
gsjp-10033	219	1	[	[	X
gsjp-10033	219	2	dothang	dothang	PROPN
gsjp-10033	219	3	truong	truong	PROPN
gsjp-10033	219	4	]	]	PUNCT
gsjp-10033	219	5	.	.	PUNCT
gsjp-10033	220	1	(	(	PUNCT
gsjp-10033	220	2	2016	2016	NUM
gsjp-10033	220	3	,	,	PUNCT
gsjp-10033	220	4	july	july	PROPN
gsjp-10033	220	5	21	21	NUM
gsjp-10033	220	6	)	)	PUNCT
gsjp-10033	220	7	.	.	PUNCT
gsjp-10033	221	1	spss	spss	PROPN
gsjp-10033	221	2	missing	missing	ADJ
gsjp-10033	221	3	values	value	NOUN
gsjp-10033	221	4	.	.	PUNCT
gsjp-10033	222	1	[	[	X
gsjp-10033	222	2	video	video	NOUN
gsjp-10033	222	3	]	]	X
gsjp-10033	222	4	.	.	PUNCT
gsjp-10033	223	1	youtube	youtube	NOUN
gsjp-10033	223	2	.	.	PUNCT
gsjp-10033	224	1	https://www	https://www	PROPN
gsjp-10033	224	2	.	.	PUNCT
gsjp-10033	225	1	youtube.com/watch?v=dnthjjqlz9q	youtube.com/watch?v=dnthjjqlz9q	NOUN
gsjp-10033	225	2	13	13	NUM
gsjp-10033	225	3	merging	merge	VERB
gsjp-10033	225	4	multiple	multiple	ADJ
gsjp-10033	225	5	and/or	and/or	CCONJ
gsjp-10033	225	6	divergent	divergent	ADJ
gsjp-10033	225	7	datasets	dataset	NOUN
gsjp-10033	225	8	in	in	ADP
gsjp-10033	225	9	spss	spss	PROPN
gsjp-10033	225	10	14	14	NUM
gsjp-10033	225	11	audette	audette	PROPN
gsjp-10033	225	12	et	et	PROPN
gsjp-10033	225	13	al	al	PROPN
gsjp-10033	225	14	.	.	PROPN
gsjp-10033	225	15	step	step	NOUN
gsjp-10033	225	16	1	1	NUM
gsjp-10033	225	17	:	:	PUNCT
gsjp-10033	225	18	*	*	PUNCT
gsjp-10033	225	19	*	*	PUNCT
gsjp-10033	225	20	*	*	PUNCT
gsjp-10033	225	21	step	step	NOUN
gsjp-10033	225	22	1	1	NUM
gsjp-10033	225	23	*	*	PUNCT
gsjp-10033	225	24	*	*	PUNCT
gsjp-10033	225	25	*	*	PUNCT
gsjp-10033	225	26	*	*	PUNCT
gsjp-10033	225	27	compare	compare	ADJ
gsjp-10033	225	28	datasets	dataset	NOUN
gsjp-10033	225	29	dataset	dataset	NOUN
gsjp-10033	225	30	activate	activate	VERB
gsjp-10033	225	31	dataset1	dataset1	PROPN
gsjp-10033	225	32	.	.	PUNCT
gsjp-10033	226	1	sort	sort	ADJ
gsjp-10033	226	2	cases	case	NOUN
gsjp-10033	226	3	by	by	ADP
gsjp-10033	226	4	i	i	PROPN
gsjp-10033	226	5	d.	d.	PROPN
gsjp-10033	226	6	compare	compare	VERB
gsjp-10033	226	7	datasets	dataset	NOUN
gsjp-10033	226	8	/compdataset	/compdataset	PUNCT
gsjp-10033	227	1	=	=	PUNCT
gsjp-10033	227	2	dataset2	dataset2	NOUN
gsjp-10033	227	3	/variables	/variable	NOUN
gsjp-10033	228	1	all	all	DET
gsjp-10033	228	2	/caseid	/caseid	NOUN
gsjp-10033	228	3	i	i	PROPN
gsjp-10033	228	4	d	d	PROPN
gsjp-10033	228	5	/save	/save	PUNCT
gsjp-10033	228	6	flagmismatches	flagmismatche	VERB
gsjp-10033	228	7	=	=	NOUN
gsjp-10033	229	1	yes	yes	NOUN
gsjp-10033	229	2	varname	varname	NOUN
gsjp-10033	229	3	=	=	NOUN
gsjp-10033	229	4	mismatches	mismatch	NOUN
gsjp-10033	229	5	matchdataset	matchdataset	NOUN
gsjp-10033	229	6	=	=	NOUN
gsjp-10033	229	7	no	no	DET
gsjp-10033	229	8	mismatchdataset	mismatchdataset	NOUN
gsjp-10033	229	9	=	=	NOUN
gsjp-10033	229	10	no	no	NOUN
gsjp-10033	229	11	/output	/output	NOUN
gsjp-10033	229	12	varproperties	varpropertie	VERB
gsjp-10033	229	13	=	=	NOUN
gsjp-10033	229	14	none	none	NOUN
gsjp-10033	229	15	casetable	casetable	ADJ
gsjp-10033	229	16	=	=	NOUN
gsjp-10033	229	17	yes	ye	NOUN
gsjp-10033	229	18	tablelimit=600	tablelimit=600	NOUN
gsjp-10033	229	19	.	.	PUNCT
gsjp-10033	230	1	step	step	NOUN
gsjp-10033	230	2	2	2	NUM
gsjp-10033	230	3	:	:	PUNCT
gsjp-10033	230	4	*	*	PUNCT
gsjp-10033	230	5	*	*	PUNCT
gsjp-10033	230	6	*	*	PUNCT
gsjp-10033	230	7	step	step	NOUN
gsjp-10033	230	8	2	2	NUM
gsjp-10033	230	9	*	*	PUNCT
gsjp-10033	230	10	*	*	PUNCT
gsjp-10033	230	11	*	*	PUNCT
gsjp-10033	230	12	*	*	PUNCT
gsjp-10033	230	13	merging	merge	VERB
gsjp-10033	230	14	all	all	DET
gsjp-10033	230	15	variables	variable	NOUN
gsjp-10033	230	16	and	and	CCONJ
gsjp-10033	230	17	cases	case	NOUN
gsjp-10033	230	18	into	into	ADP
gsjp-10033	230	19	dataset1	dataset1	NOUN
gsjp-10033	230	20	add	add	VERB
gsjp-10033	230	21	files	file	NOUN
gsjp-10033	230	22	/file=	/file=	PUNCT
gsjp-10033	230	23	*	*	PUNCT
gsjp-10033	230	24	/file=’dataset2	/file=’dataset2	NOUN
gsjp-10033	230	25	’	'	PUNCT
gsjp-10033	230	26	/in	/in	PUNCT
gsjp-10033	231	1	=	=	SYM
gsjp-10033	231	2	sourcedataset2	sourcedataset2	NOUN
gsjp-10033	231	3	.	.	PUNCT
gsjp-10033	232	1	variable	variable	ADJ
gsjp-10033	232	2	labels	label	VERB
gsjp-10033	232	3	sourcedataset2	sourcedataset2	NOUN
gsjp-10033	232	4	‘	'	PUNCT
gsjp-10033	232	5	case	case	NOUN
gsjp-10033	232	6	source	source	NOUN
gsjp-10033	232	7	is	be	AUX
gsjp-10033	232	8	dataset2	dataset2	NOUN
gsjp-10033	232	9	’	'	PUNCT
gsjp-10033	232	10	.	.	PUNCT
gsjp-10033	233	1	execute	execute	VERB
gsjp-10033	233	2	.	.	PUNCT
gsjp-10033	234	1	add	add	VERB
gsjp-10033	234	2	value	value	NOUN
gsjp-10033	234	3	labels	label	NOUN
gsjp-10033	234	4	sourcedataset2	sourcedataset2	NOUN
gsjp-10033	234	5	1	1	NUM
gsjp-10033	234	6	‘	'	PUNCT
gsjp-10033	234	7	from	from	ADP
gsjp-10033	234	8	dataset2	dataset2	NOUN
gsjp-10033	234	9	’	'	PUNCT
gsjp-10033	234	10	0	0	PUNCT
gsjp-10033	235	1	‘	'	PUNCT
gsjp-10033	235	2	from	from	ADP
gsjp-10033	235	3	dataset1	dataset1	NOUN
gsjp-10033	235	4	’	'	PUNCT
gsjp-10033	235	5	.	.	PUNCT
gsjp-10033	235	6	execute	execute	VERB
gsjp-10033	235	7	.	.	PUNCT
gsjp-10033	236	1	step	step	NOUN
gsjp-10033	236	2	3	3	NUM
gsjp-10033	236	3	:	:	PUNCT
gsjp-10033	236	4	*	*	PUNCT
gsjp-10033	236	5	*	*	PUNCT
gsjp-10033	236	6	*	*	PUNCT
gsjp-10033	236	7	step	step	NOUN
gsjp-10033	236	8	3	3	NUM
gsjp-10033	236	9	*	*	PUNCT
gsjp-10033	236	10	*	*	PUNCT
gsjp-10033	236	11	*	*	PUNCT
gsjp-10033	236	12	*	*	PUNCT
gsjp-10033	236	13	creating	create	VERB
gsjp-10033	236	14	new	new	ADJ
gsjp-10033	236	15	mismatches	mismatch	NOUN
gsjp-10033	236	16	variable	variable	NOUN
gsjp-10033	236	17	called	call	VERB
gsjp-10033	236	18	casescompared	casescompared	ADJ
gsjp-10033	236	19	compute	compute	NOUN
gsjp-10033	236	20	casescompared	casescompared	ADJ
gsjp-10033	236	21	=	=	PUNCT
gsjp-10033	236	22	mismatches	mismatch	NOUN
gsjp-10033	236	23	.	.	PUNCT
gsjp-10033	237	1	execute	execute	VERB
gsjp-10033	237	2	.	.	PUNCT
gsjp-10033	238	1	add	add	VERB
gsjp-10033	238	2	value	value	NOUN
gsjp-10033	238	3	labels	label	NOUN
gsjp-10033	238	4	casescompared	casescompare	VERB
gsjp-10033	238	5	1	1	NUM
gsjp-10033	238	6	‘	'	PUNCT
gsjp-10033	238	7	mismatch	mismatch	NOUN
gsjp-10033	238	8	between	between	ADP
gsjp-10033	238	9	both	both	DET
gsjp-10033	238	10	datasets	dataset	NOUN
gsjp-10033	238	11	’	'	PUNCT
gsjp-10033	238	12	0	0	NUM
gsjp-10033	239	1	‘	'	PUNCT
gsjp-10033	239	2	match	match	NOUN
gsjp-10033	239	3	in	in	ADP
gsjp-10033	239	4	both	both	DET
gsjp-10033	239	5	datasets	dataset	NOUN
gsjp-10033	239	6	’	'	PUNCT
gsjp-10033	239	7	-1	-1	PUNCT
gsjp-10033	239	8	‘	'	PUNCT
gsjp-10033	239	9	unique	unique	ADJ
gsjp-10033	239	10	to	to	ADP
gsjp-10033	239	11	dataset1	dataset1	NOUN
gsjp-10033	239	12	’	'	PUNCT
gsjp-10033	239	13	.	.	PUNCT
gsjp-10033	240	1	execute	execute	VERB
gsjp-10033	240	2	.	.	PUNCT
gsjp-10033	241	1	step	step	NOUN
gsjp-10033	241	2	4	4	NUM
gsjp-10033	241	3	:	:	PUNCT
gsjp-10033	241	4	*	*	PUNCT
gsjp-10033	241	5	*	*	PUNCT
gsjp-10033	241	6	*	*	PUNCT
gsjp-10033	241	7	step	step	NOUN
gsjp-10033	241	8	4	4	NUM
gsjp-10033	241	9	*	*	PUNCT
gsjp-10033	241	10	*	*	PUNCT
gsjp-10033	241	11	*	*	PUNCT
gsjp-10033	241	12	*	*	PUNCT
gsjp-10033	241	13	duplicating	duplicate	VERB
gsjp-10033	241	14	casescompared	casescompare	VERB
gsjp-10033	241	15	encoded	encode	VERB
gsjp-10033	241	16	information	information	NOUN
gsjp-10033	241	17	for	for	ADP
gsjp-10033	241	18	cases	case	NOUN
gsjp-10033	241	19	from	from	ADP
gsjp-10033	241	20	dataset2	dataset2	NOUN
gsjp-10033	241	21	sort	sort	NOUN
gsjp-10033	241	22	cases	case	NOUN
gsjp-10033	241	23	by	by	ADP
gsjp-10033	241	24	id(a	id(a	NOUN
gsjp-10033	241	25	)	)	PUNCT
gsjp-10033	241	26	sourcedataset2(a	sourcedataset2(a	PROPN
gsjp-10033	241	27	)	)	PUNCT
gsjp-10033	241	28	mismatches(a	mismatches(a	PROPN
gsjp-10033	241	29	)	)	PUNCT
gsjp-10033	241	30	.	.	PUNCT
gsjp-10033	242	1	execute	execute	VERB
gsjp-10033	242	2	.	.	PUNCT
gsjp-10033	243	1	if	if	SCONJ
gsjp-10033	243	2	(	(	PUNCT
gsjp-10033	243	3	(	(	PUNCT
gsjp-10033	243	4	i	i	NOUN
gsjp-10033	243	5	d	d	NOUN
gsjp-10033	243	6	=	=	PUNCT
gsjp-10033	243	7	lag(id	lag(id	PROPN
gsjp-10033	243	8	)	)	PUNCT
gsjp-10033	243	9	)	)	PUNCT
gsjp-10033	243	10	and	and	CCONJ
gsjp-10033	243	11	(	(	PUNCT
gsjp-10033	243	12	sysmis(casescompared	sysmis(casescompared	PROPN
gsjp-10033	243	13	)	)	PUNCT
gsjp-10033	243	14	)	)	PUNCT
gsjp-10033	243	15	)	)	PUNCT
gsjp-10033	244	1	casescompared	casescompare	VERB
gsjp-10033	244	2	=	=	NUM
gsjp-10033	244	3	lag(casescompared	lag(casescompare	VERB
gsjp-10033	244	4	)	)	PUNCT
gsjp-10033	244	5	.	.	PUNCT
gsjp-10033	245	1	execute	execute	VERB
gsjp-10033	245	2	.	.	PUNCT
gsjp-10033	246	1	step	step	NOUN
gsjp-10033	246	2	5	5	NUM
gsjp-10033	246	3	:	:	PUNCT
gsjp-10033	246	4	*	*	PUNCT
gsjp-10033	246	5	*	*	PUNCT
gsjp-10033	246	6	*	*	PUNCT
gsjp-10033	246	7	step	step	NOUN
gsjp-10033	246	8	5	5	NUM
gsjp-10033	246	9	*	*	PUNCT
gsjp-10033	246	10	*	*	PUNCT
gsjp-10033	246	11	*	*	PUNCT
gsjp-10033	246	12	*	*	PUNCT
gsjp-10033	246	13	encoding	encode	VERB
gsjp-10033	246	14	in	in	ADP
gsjp-10033	246	15	casescompared	casescompared	ADJ
gsjp-10033	246	16	those	those	DET
gsjp-10033	246	17	cases	case	NOUN
gsjp-10033	246	18	which	which	PRON
gsjp-10033	246	19	are	be	AUX
gsjp-10033	246	20	unique	unique	ADJ
gsjp-10033	246	21	to	to	ADP
gsjp-10033	246	22	dataset2	dataset2	NOUN
gsjp-10033	246	23	if	if	SCONJ
gsjp-10033	246	24	(	(	PUNCT
gsjp-10033	246	25	sysmis(casescompared	sysmis(casescompared	PROPN
gsjp-10033	246	26	)	)	PUNCT
gsjp-10033	246	27	)	)	PUNCT
gsjp-10033	247	1	casescompared=-2	casescompared=-2	PROPN
gsjp-10033	247	2	.	.	PUNCT
gsjp-10033	247	3	execute	execute	VERB
gsjp-10033	247	4	.	.	PUNCT
gsjp-10033	248	1	add	add	VERB
gsjp-10033	248	2	value	value	NOUN
gsjp-10033	248	3	labels	label	NOUN
gsjp-10033	248	4	casescompared	casescompare	VERB
gsjp-10033	248	5	-2	-2	NOUN
gsjp-10033	248	6	‘	'	PUNCT
gsjp-10033	248	7	unique	unique	ADJ
gsjp-10033	248	8	to	to	ADP
gsjp-10033	248	9	dataset2	dataset2	NOUN
gsjp-10033	248	10	’	'	PUNCT
gsjp-10033	248	11	.	.	PUNCT
gsjp-10033	249	1	execute	execute	VERB
gsjp-10033	249	2	.	.	PUNCT
gsjp-10033	250	1	appendix	appendix	VERB
gsjp-10033	250	2	a	a	DET
gsjp-10033	250	3	syntax	syntax	NOUN
gsjp-10033	250	4	for	for	ADP
gsjp-10033	250	5	steps	step	NOUN
gsjp-10033	250	6	one	one	NUM
gsjp-10033	250	7	through	through	ADP
gsjp-10033	250	8	five	five	NUM