id	sid	tid	token	lemma	pos
ajst-20790	1	1	academic	academic	ADJ
ajst-20790	1	2	journal	journal	NOUN
ajst-20790	1	3	of	of	ADP
ajst-20790	1	4	science	science	NOUN
ajst-20790	1	5	and	and	CCONJ
ajst-20790	1	6	technology	technology	NOUN
ajst-20790	1	7	issn	issn	NOUN
ajst-20790	1	8	:	:	PUNCT
ajst-20790	1	9	2771	2771	NUM
ajst-20790	1	10	-	-	SYM
ajst-20790	1	11	3032	3032	NUM
ajst-20790	1	12	|	|	NOUN
ajst-20790	1	13	vol	vol	NOUN
ajst-20790	1	14	.	.	PROPN
ajst-20790	2	1	10	10	NUM
ajst-20790	2	2	,	,	PUNCT
ajst-20790	2	3	no	no	INTJ
ajst-20790	2	4	.	.	NOUN
ajst-20790	2	5	3	3	NUM
ajst-20790	2	6	,	,	PUNCT
ajst-20790	2	7	2024	2024	NUM
ajst-20790	2	8	87	87	NUM
ajst-20790	2	9	using	use	VERB
ajst-20790	2	10	matlab	matlab	PROPN
ajst-20790	2	11	to	to	PART
ajst-20790	2	12	make	make	VERB
ajst-20790	2	13	population	population	NOUN
ajst-20790	2	14	prediction	prediction	NOUN
ajst-20790	2	15	analysis	analysis	NOUN
ajst-20790	2	16	songming	songming	NOUN
ajst-20790	2	17	wang1	wang1	PROPN
ajst-20790	2	18	,	,	PUNCT
ajst-20790	2	19	a	a	DET
ajst-20790	2	20	1changjun	1changjun	NUM
ajst-20790	2	21	high	high	ADJ
ajst-20790	2	22	school	school	NOUN
ajst-20790	2	23	of	of	ADP
ajst-20790	2	24	changsha	changsha	PROPN
ajst-20790	2	25	city	city	PROPN
ajst-20790	2	26	,	,	PUNCT
ajst-20790	2	27	changsha	changsha	PROPN
ajst-20790	2	28	,	,	PUNCT
ajst-20790	2	29	410023	410023	NUM
ajst-20790	2	30	,	,	PUNCT
ajst-20790	2	31	china	china	PROPN
ajst-20790	2	32	awangsm0317@163.com	awangsm0317@163.com	X
ajst-20790	2	33	abstract	abstract	PROPN
ajst-20790	2	34	:	:	PUNCT
ajst-20790	2	35	through	through	ADP
ajst-20790	2	36	the	the	DET
ajst-20790	2	37	curve	curve	NOUN
ajst-20790	2	38	fitting	fitting	ADJ
ajst-20790	2	39	and	and	CCONJ
ajst-20790	2	40	interpolation	interpolation	NOUN
ajst-20790	2	41	function	function	NOUN
ajst-20790	2	42	of	of	ADP
ajst-20790	2	43	matlab	matlab	PROPN
ajst-20790	2	44	software	software	PROPN
ajst-20790	2	45	,	,	PUNCT
ajst-20790	2	46	based	base	VERB
ajst-20790	2	47	on	on	ADP
ajst-20790	2	48	the	the	DET
ajst-20790	2	49	demographic	demographic	ADJ
ajst-20790	2	50	data	datum	NOUN
ajst-20790	2	51	in	in	ADP
ajst-20790	2	52	the	the	DET
ajst-20790	2	53	statistical	statistical	ADJ
ajst-20790	2	54	yearbook	yearbook	NOUN
ajst-20790	2	55	of	of	ADP
ajst-20790	2	56	hunan	hunan	PROPN
ajst-20790	2	57	province	province	PROPN
ajst-20790	2	58	from	from	ADP
ajst-20790	2	59	2000	2000	NUM
ajst-20790	2	60	to	to	ADP
ajst-20790	2	61	2020	2020	NUM
ajst-20790	2	62	,	,	PUNCT
ajst-20790	2	63	the	the	DET
ajst-20790	2	64	total	total	ADJ
ajst-20790	2	65	population	population	NOUN
ajst-20790	2	66	,	,	PUNCT
ajst-20790	2	67	birth	birth	NOUN
ajst-20790	2	68	rate	rate	NOUN
ajst-20790	2	69	and	and	CCONJ
ajst-20790	2	70	death	death	NOUN
ajst-20790	2	71	rate	rate	NOUN
ajst-20790	2	72	of	of	ADP
ajst-20790	2	73	hunan	hunan	PROPN
ajst-20790	2	74	province	province	PROPN
ajst-20790	2	75	were	be	AUX
ajst-20790	2	76	predicted	predict	VERB
ajst-20790	2	77	,	,	PUNCT
ajst-20790	2	78	and	and	CCONJ
ajst-20790	2	79	the	the	DET
ajst-20790	2	80	data	datum	NOUN
ajst-20790	2	81	and	and	CCONJ
ajst-20790	2	82	images	image	NOUN
ajst-20790	2	83	were	be	AUX
ajst-20790	2	84	obtained	obtain	VERB
ajst-20790	2	85	,	,	PUNCT
ajst-20790	2	86	showing	show	VERB
ajst-20790	2	87	intuitive	intuitive	ADJ
ajst-20790	2	88	results	result	NOUN
ajst-20790	2	89	.	.	PUNCT
ajst-20790	3	1	this	this	DET
ajst-20790	3	2	study	study	NOUN
ajst-20790	3	3	uses	use	VERB
ajst-20790	3	4	the	the	DET
ajst-20790	3	5	two	two	NUM
ajst-20790	3	6	forecasting	forecasting	NOUN
ajst-20790	3	7	methods	method	NOUN
ajst-20790	3	8	to	to	PART
ajst-20790	3	9	obtain	obtain	VERB
ajst-20790	3	10	images	image	NOUN
ajst-20790	3	11	and	and	CCONJ
ajst-20790	3	12	compare	compare	VERB
ajst-20790	3	13	them	they	PRON
ajst-20790	3	14	to	to	PART
ajst-20790	3	15	enrich	enrich	VERB
ajst-20790	3	16	the	the	DET
ajst-20790	3	17	population	population	NOUN
ajst-20790	3	18	forecasting	forecasting	NOUN
ajst-20790	3	19	methods	method	NOUN
ajst-20790	3	20	,	,	PUNCT
ajst-20790	3	21	which	which	PRON
ajst-20790	3	22	has	have	VERB
ajst-20790	3	23	great	great	ADJ
ajst-20790	3	24	theoretical	theoretical	ADJ
ajst-20790	3	25	and	and	CCONJ
ajst-20790	3	26	research	research	NOUN
ajst-20790	3	27	significance	significance	NOUN
ajst-20790	3	28	for	for	ADP
ajst-20790	3	29	the	the	DET
ajst-20790	3	30	population	population	NOUN
ajst-20790	3	31	development	development	NOUN
ajst-20790	3	32	trend	trend	NOUN
ajst-20790	3	33	of	of	ADP
ajst-20790	3	34	the	the	DET
ajst-20790	3	35	future	future	ADJ
ajst-20790	3	36	society	society	NOUN
ajst-20790	3	37	and	and	CCONJ
ajst-20790	3	38	the	the	DET
ajst-20790	3	39	formulation	formulation	NOUN
ajst-20790	3	40	of	of	ADP
ajst-20790	3	41	correct	correct	ADJ
ajst-20790	3	42	and	and	CCONJ
ajst-20790	3	43	reasonable	reasonable	ADJ
ajst-20790	3	44	population	population	NOUN
ajst-20790	3	45	planning	planning	NOUN
ajst-20790	3	46	schemes	scheme	NOUN
ajst-20790	3	47	.	.	PUNCT
ajst-20790	4	1	keywords	keyword	NOUN
ajst-20790	4	2	:	:	PUNCT
ajst-20790	4	3	fitting	fitting	ADJ
ajst-20790	4	4	interpolation	interpolation	NOUN
ajst-20790	4	5	total	total	ADJ
ajst-20790	4	6	population	population	NOUN
ajst-20790	4	7	forecast	forecast	VERB
ajst-20790	4	8	birth	birth	NOUN
ajst-20790	4	9	rate	rate	NOUN
ajst-20790	4	10	forecast	forecast	NOUN
ajst-20790	4	11	death	death	NOUN
ajst-20790	4	12	rate	rate	NOUN
ajst-20790	4	13	forecast	forecast	NOUN
ajst-20790	4	14	.	.	PUNCT
ajst-20790	5	1	1	1	X
ajst-20790	5	2	.	.	X
ajst-20790	5	3	background	background	NOUN
ajst-20790	5	4	population	population	NOUN
ajst-20790	5	5	issue	issue	NOUN
ajst-20790	5	6	is	be	AUX
ajst-20790	5	7	one	one	NUM
ajst-20790	5	8	of	of	ADP
ajst-20790	5	9	the	the	DET
ajst-20790	5	10	most	most	ADV
ajst-20790	5	11	important	important	ADJ
ajst-20790	5	12	issues	issue	NOUN
ajst-20790	5	13	facing	face	VERB
ajst-20790	5	14	our	our	PRON
ajst-20790	5	15	country	country	NOUN
ajst-20790	5	16	in	in	ADP
ajst-20790	5	17	the	the	DET
ajst-20790	5	18	21st	21st	ADJ
ajst-20790	5	19	century	century	NOUN
ajst-20790	5	20	.	.	PUNCT
ajst-20790	6	1	the	the	DET
ajst-20790	6	2	study	study	NOUN
ajst-20790	6	3	of	of	ADP
ajst-20790	6	4	population	population	NOUN
ajst-20790	6	5	question	question	NOUN
ajst-20790	6	6	is	be	AUX
ajst-20790	6	7	of	of	ADP
ajst-20790	6	8	great	great	ADJ
ajst-20790	6	9	significance	significance	NOUN
ajst-20790	6	10	both	both	CCONJ
ajst-20790	6	11	in	in	ADP
ajst-20790	6	12	understanding	understand	VERB
ajst-20790	6	13	china	china	PROPN
ajst-20790	6	14	's	's	PART
ajst-20790	6	15	current	current	ADJ
ajst-20790	6	16	economic	economic	ADJ
ajst-20790	6	17	development	development	NOUN
ajst-20790	6	18	status	status	NOUN
ajst-20790	6	19	and	and	CCONJ
ajst-20790	6	20	in	in	ADP
ajst-20790	6	21	predicting	predict	VERB
ajst-20790	6	22	future	future	ADJ
ajst-20790	6	23	economic	economic	ADJ
ajst-20790	6	24	development	development	NOUN
ajst-20790	6	25	.	.	PUNCT
ajst-20790	7	1	population	population	NOUN
ajst-20790	7	2	forecasting	forecasting	NOUN
ajst-20790	7	3	is	be	AUX
ajst-20790	7	4	one	one	NUM
ajst-20790	7	5	of	of	ADP
ajst-20790	7	6	the	the	DET
ajst-20790	7	7	core	core	NOUN
ajst-20790	7	8	tasks	task	NOUN
ajst-20790	7	9	for	for	ADP
ajst-20790	7	10	a	a	DET
ajst-20790	7	11	provincial	provincial	ADJ
ajst-20790	7	12	administrative	administrative	ADJ
ajst-20790	7	13	unit	unit	NOUN
ajst-20790	7	14	to	to	PART
ajst-20790	7	15	carry	carry	VERB
ajst-20790	7	16	out	out	ADP
ajst-20790	7	17	economic	economic	ADJ
ajst-20790	7	18	development	development	NOUN
ajst-20790	7	19	planning	planning	NOUN
ajst-20790	7	20	.	.	PUNCT
ajst-20790	8	1	population	population	NOUN
ajst-20790	8	2	forecast	forecast	NOUN
ajst-20790	8	3	is	be	AUX
ajst-20790	8	4	one	one	NUM
ajst-20790	8	5	of	of	ADP
ajst-20790	8	6	the	the	DET
ajst-20790	8	7	most	most	ADV
ajst-20790	8	8	basic	basic	ADJ
ajst-20790	8	9	contents	content	NOUN
ajst-20790	8	10	of	of	ADP
ajst-20790	8	11	population	population	NOUN
ajst-20790	8	12	forecast	forecast	NOUN
ajst-20790	8	13	,	,	PUNCT
ajst-20790	8	14	aiming	aim	VERB
ajst-20790	8	15	at	at	ADP
ajst-20790	8	16	revealing	reveal	VERB
ajst-20790	8	17	the	the	DET
ajst-20790	8	18	size	size	NOUN
ajst-20790	8	19	of	of	ADP
ajst-20790	8	20	the	the	DET
ajst-20790	8	21	future	future	ADJ
ajst-20790	8	22	population	population	NOUN
ajst-20790	8	23	.	.	PUNCT
ajst-20790	9	1	2	2	X
ajst-20790	9	2	.	.	X
ajst-20790	9	3	research	research	NOUN
ajst-20790	9	4	situation	situation	NOUN
ajst-20790	9	5	the	the	DET
ajst-20790	9	6	total	total	ADJ
ajst-20790	9	7	population	population	NOUN
ajst-20790	9	8	of	of	ADP
ajst-20790	9	9	our	our	PRON
ajst-20790	9	10	country	country	NOUN
ajst-20790	9	11	grows	grow	VERB
ajst-20790	9	12	by	by	ADP
ajst-20790	9	13	inertia	inertia	NOUN
ajst-20790	9	14	.	.	PUNCT
ajst-20790	10	1	according	accord	VERB
ajst-20790	10	2	to	to	ADP
ajst-20790	10	3	the	the	DET
ajst-20790	10	4	seventh	seventh	ADJ
ajst-20790	10	5	national	national	ADJ
ajst-20790	10	6	population	population	NOUN
ajst-20790	10	7	census	census	NOUN
ajst-20790	10	8	,	,	PUNCT
ajst-20790	10	9	china	china	PROPN
ajst-20790	10	10	's	's	PART
ajst-20790	10	11	population	population	NOUN
ajst-20790	10	12	in	in	ADP
ajst-20790	10	13	2020	2020	NUM
ajst-20790	10	14	(	(	PUNCT
ajst-20790	10	15	refers	refer	VERB
ajst-20790	10	16	to	to	ADP
ajst-20790	10	17	the	the	DET
ajst-20790	10	18	population	population	NOUN
ajst-20790	10	19	of	of	ADP
ajst-20790	10	20	31	31	NUM
ajst-20790	10	21	provinces	province	NOUN
ajst-20790	10	22	,	,	PUNCT
ajst-20790	10	23	autonomous	autonomous	ADJ
ajst-20790	10	24	regions	region	NOUN
ajst-20790	10	25	and	and	CCONJ
ajst-20790	10	26	municipalities	municipality	NOUN
ajst-20790	10	27	directly	directly	ADV
ajst-20790	10	28	under	under	ADP
ajst-20790	10	29	the	the	DET
ajst-20790	10	30	central	central	ADJ
ajst-20790	10	31	government	government	NOUN
ajst-20790	10	32	and	and	CCONJ
ajst-20790	10	33	active	active	ADJ
ajst-20790	10	34	military	military	ADJ
ajst-20790	10	35	personnel	personnel	NOUN
ajst-20790	10	36	,	,	PUNCT
ajst-20790	10	37	excluding	exclude	VERB
ajst-20790	10	38	hong	hong	PROPN
ajst-20790	10	39	kong	kong	PROPN
ajst-20790	10	40	,	,	PUNCT
ajst-20790	10	41	macao	macao	PROPN
ajst-20790	10	42	and	and	CCONJ
ajst-20790	10	43	taiwan	taiwan	PROPN
ajst-20790	10	44	residents	resident	NOUN
ajst-20790	10	45	and	and	CCONJ
ajst-20790	10	46	foreigners	foreigner	NOUN
ajst-20790	10	47	living	live	VERB
ajst-20790	10	48	in	in	ADP
ajst-20790	10	49	31	31	NUM
ajst-20790	10	50	provinces	province	NOUN
ajst-20790	10	51	,	,	PUNCT
ajst-20790	10	52	autonomous	autonomous	ADJ
ajst-20790	10	53	regions	region	NOUN
ajst-20790	10	54	and	and	CCONJ
ajst-20790	10	55	municipalities	municipality	NOUN
ajst-20790	10	56	directly	directly	ADV
ajst-20790	10	57	under	under	ADP
ajst-20790	10	58	the	the	DET
ajst-20790	10	59	central	central	ADJ
ajst-20790	10	60	government	government	NOUN
ajst-20790	10	61	)	)	PUNCT
ajst-20790	10	62	is	be	AUX
ajst-20790	10	63	1,411.78	1,411.78	NUM
ajst-20790	10	64	million	million	NUM
ajst-20790	10	65	,	,	PUNCT
ajst-20790	10	66	an	an	DET
ajst-20790	10	67	increase	increase	NOUN
ajst-20790	10	68	of	of	ADP
ajst-20790	10	69	72.05	72.05	NUM
ajst-20790	10	70	million	million	NUM
ajst-20790	10	71	compared	compare	VERB
ajst-20790	10	72	with	with	ADP
ajst-20790	10	73	1,339.72	1,339.72	NUM
ajst-20790	10	74	million	million	NUM
ajst-20790	10	75	in	in	ADP
ajst-20790	10	76	2010	2010	NUM
ajst-20790	10	77	.	.	PUNCT
ajst-20790	11	1	an	an	DET
ajst-20790	11	2	increase	increase	NOUN
ajst-20790	11	3	of	of	ADP
ajst-20790	11	4	5.38	5.38	NUM
ajst-20790	11	5	%	%	NOUN
ajst-20790	11	6	.	.	PUNCT
ajst-20790	12	1	since	since	SCONJ
ajst-20790	12	2	the	the	DET
ajst-20790	12	3	founding	founding	NOUN
ajst-20790	12	4	of	of	ADP
ajst-20790	12	5	the	the	DET
ajst-20790	12	6	people	people	NOUN
ajst-20790	12	7	's	's	PART
ajst-20790	12	8	republic	republic	NOUN
ajst-20790	12	9	of	of	ADP
ajst-20790	12	10	china	china	PROPN
ajst-20790	12	11	,	,	PUNCT
ajst-20790	12	12	china	china	PROPN
ajst-20790	12	13	's	's	PART
ajst-20790	12	14	population	population	NOUN
ajst-20790	12	15	has	have	AUX
ajst-20790	12	16	maintained	maintain	VERB
ajst-20790	12	17	a	a	DET
ajst-20790	12	18	growing	grow	VERB
ajst-20790	12	19	trend	trend	NOUN
ajst-20790	12	20	.	.	PUNCT
ajst-20790	13	1	although	although	SCONJ
ajst-20790	13	2	china	china	PROPN
ajst-20790	13	3	's	's	PART
ajst-20790	13	4	fertility	fertility	NOUN
ajst-20790	13	5	rate	rate	NOUN
ajst-20790	13	6	has	have	AUX
ajst-20790	13	7	been	be	AUX
ajst-20790	13	8	reduced	reduce	VERB
ajst-20790	13	9	to	to	ADP
ajst-20790	13	10	below	below	ADP
ajst-20790	13	11	the	the	DET
ajst-20790	13	12	replacement	replacement	NOUN
ajst-20790	13	13	level	level	NOUN
ajst-20790	13	14	in	in	ADP
ajst-20790	13	15	the	the	DET
ajst-20790	13	16	1990s	1990	NOUN
ajst-20790	13	17	and	and	CCONJ
ajst-20790	13	18	continues	continue	VERB
ajst-20790	13	19	to	to	ADP
ajst-20790	13	20	this	this	DET
ajst-20790	13	21	day	day	NOUN
ajst-20790	13	22	,	,	PUNCT
ajst-20790	13	23	the	the	DET
ajst-20790	13	24	total	total	ADJ
ajst-20790	13	25	population	population	NOUN
ajst-20790	13	26	will	will	AUX
ajst-20790	13	27	still	still	ADV
ajst-20790	13	28	maintain	maintain	VERB
ajst-20790	13	29	a	a	DET
ajst-20790	13	30	growth	growth	NOUN
ajst-20790	13	31	for	for	ADP
ajst-20790	13	32	some	some	DET
ajst-20790	13	33	time	time	NOUN
ajst-20790	13	34	due	due	ADP
ajst-20790	13	35	to	to	ADP
ajst-20790	13	36	the	the	DET
ajst-20790	13	37	population	population	NOUN
ajst-20790	13	38	inertia	inertia	NOUN
ajst-20790	13	39	brought	bring	VERB
ajst-20790	13	40	about	about	ADP
ajst-20790	13	41	by	by	ADP
ajst-20790	13	42	the	the	DET
ajst-20790	13	43	reduction	reduction	NOUN
ajst-20790	13	44	of	of	ADP
ajst-20790	13	45	population	population	NOUN
ajst-20790	13	46	mortality	mortality	NOUN
ajst-20790	13	47	rate	rate	NOUN
ajst-20790	13	48	and	and	CCONJ
ajst-20790	13	49	the	the	DET
ajst-20790	13	50	high	high	ADJ
ajst-20790	13	51	fertility	fertility	NOUN
ajst-20790	13	52	rate	rate	NOUN
ajst-20790	13	53	in	in	ADP
ajst-20790	13	54	the	the	DET
ajst-20790	13	55	early	early	ADJ
ajst-20790	13	56	days	day	NOUN
ajst-20790	13	57	of	of	ADP
ajst-20790	13	58	the	the	DET
ajst-20790	13	59	founding	founding	NOUN
ajst-20790	13	60	of	of	ADP
ajst-20790	13	61	the	the	DET
ajst-20790	13	62	people	people	NOUN
ajst-20790	13	63	's	's	PART
ajst-20790	13	64	republic	republic	NOUN
ajst-20790	13	65	of	of	ADP
ajst-20790	13	66	china	china	PROPN
ajst-20790	13	67	.	.	PUNCT
ajst-20790	14	1	the	the	DET
ajst-20790	14	2	permanent	permanent	ADJ
ajst-20790	14	3	population	population	NOUN
ajst-20790	14	4	of	of	ADP
ajst-20790	14	5	hunan	hunan	PROPN
ajst-20790	14	6	province	province	PROPN
ajst-20790	14	7	is	be	AUX
ajst-20790	14	8	66,444,900	66,444,900	NUM
ajst-20790	14	9	,	,	PUNCT
ajst-20790	14	10	compared	compare	VERB
ajst-20790	14	11	with	with	ADP
ajst-20790	14	12	65,70.08	65,70.08	PROPN
ajst-20790	14	13	million	million	NUM
ajst-20790	14	14	in	in	ADP
ajst-20790	14	15	2010	2010	NUM
ajst-20790	14	16	(	(	PUNCT
ajst-20790	14	17	the	the	DET
ajst-20790	14	18	sixth	sixth	ADJ
ajst-20790	14	19	national	national	ADJ
ajst-20790	14	20	census	census	NOUN
ajst-20790	14	21	data	datum	NOUN
ajst-20790	14	22	,	,	PUNCT
ajst-20790	14	23	the	the	DET
ajst-20790	14	24	same	same	ADJ
ajst-20790	14	25	below	below	ADV
ajst-20790	14	26	)	)	PUNCT
ajst-20790	14	27	,	,	PUNCT
ajst-20790	14	28	an	an	DET
ajst-20790	14	29	increase	increase	NOUN
ajst-20790	14	30	of	of	ADP
ajst-20790	14	31	744,100	744,100	NUM
ajst-20790	14	32	,	,	PUNCT
ajst-20790	14	33	an	an	DET
ajst-20790	14	34	increase	increase	NOUN
ajst-20790	14	35	of	of	ADP
ajst-20790	14	36	1.13	1.13	NUM
ajst-20790	14	37	%	%	NOUN
ajst-20790	14	38	,	,	PUNCT
ajst-20790	14	39	the	the	DET
ajst-20790	14	40	average	average	ADJ
ajst-20790	14	41	annual	annual	ADJ
ajst-20790	14	42	growth	growth	NOUN
ajst-20790	14	43	rate	rate	NOUN
ajst-20790	14	44	of	of	ADP
ajst-20790	14	45	0.11	0.11	NUM
ajst-20790	14	46	%	%	NOUN
ajst-20790	14	47	,	,	PUNCT
ajst-20790	14	48	down	down	ADV
ajst-20790	14	49	0.09	0.09	NUM
ajst-20790	14	50	percentage	percentage	NOUN
ajst-20790	14	51	points	point	NOUN
ajst-20790	14	52	from	from	ADP
ajst-20790	14	53	the	the	DET
ajst-20790	14	54	average	average	ADJ
ajst-20790	14	55	annual	annual	ADJ
ajst-20790	14	56	growth	growth	NOUN
ajst-20790	14	57	rate	rate	NOUN
ajst-20790	14	58	of	of	ADP
ajst-20790	14	59	0.20	0.20	NUM
ajst-20790	14	60	%	%	NOUN
ajst-20790	14	61	in	in	ADP
ajst-20790	14	62	the	the	DET
ajst-20790	14	63	last	last	ADJ
ajst-20790	14	64	decade	decade	NOUN
ajst-20790	14	65	.	.	PUNCT
ajst-20790	15	1	3	3	X
ajst-20790	15	2	.	.	X
ajst-20790	15	3	introduction	introduction	NOUN
ajst-20790	15	4	most	most	ADJ
ajst-20790	15	5	of	of	ADP
ajst-20790	15	6	the	the	DET
ajst-20790	15	7	predecessors	predecessor	NOUN
ajst-20790	15	8	used	use	VERB
ajst-20790	15	9	workfile	workfile	NOUN
ajst-20790	15	10	for	for	ADP
ajst-20790	15	11	population	population	NOUN
ajst-20790	15	12	analysis	analysis	NOUN
ajst-20790	15	13	,	,	PUNCT
ajst-20790	15	14	and	and	CCONJ
ajst-20790	15	15	few	few	ADJ
ajst-20790	15	16	people	people	NOUN
ajst-20790	15	17	used	use	VERB
ajst-20790	15	18	matlab	matlab	NOUN
ajst-20790	15	19	for	for	ADP
ajst-20790	15	20	analysis	analysis	NOUN
ajst-20790	15	21	.	.	PUNCT
ajst-20790	16	1	this	this	DET
ajst-20790	16	2	paper	paper	NOUN
ajst-20790	16	3	uses	use	VERB
ajst-20790	16	4	matlab	matlab	PROPN
ajst-20790	16	5	programming	programming	NOUN
ajst-20790	16	6	and	and	CCONJ
ajst-20790	16	7	curve	curve	VERB
ajst-20790	16	8	fitting	fitting	ADJ
ajst-20790	16	9	and	and	CCONJ
ajst-20790	16	10	interpolation	interpolation	NOUN
ajst-20790	16	11	methods	method	NOUN
ajst-20790	16	12	to	to	PART
ajst-20790	16	13	forecast	forecast	VERB
ajst-20790	16	14	the	the	DET
ajst-20790	16	15	population	population	NOUN
ajst-20790	16	16	of	of	ADP
ajst-20790	16	17	hunan	hunan	PROPN
ajst-20790	16	18	province	province	PROPN
ajst-20790	16	19	in	in	ADP
ajst-20790	16	20	the	the	DET
ajst-20790	16	21	next	next	ADJ
ajst-20790	16	22	10	10	NUM
ajst-20790	16	23	years	year	NOUN
ajst-20790	16	24	,	,	PUNCT
ajst-20790	16	25	and	and	CCONJ
ajst-20790	16	26	analyzes	analyze	VERB
ajst-20790	16	27	and	and	CCONJ
ajst-20790	16	28	compares	compare	VERB
ajst-20790	16	29	the	the	DET
ajst-20790	16	30	predicted	predict	VERB
ajst-20790	16	31	results	result	NOUN
ajst-20790	16	32	.	.	PUNCT
ajst-20790	17	1	from	from	ADP
ajst-20790	17	2	the	the	DET
ajst-20790	17	3	perspective	perspective	NOUN
ajst-20790	17	4	of	of	ADP
ajst-20790	17	5	programming	programming	NOUN
ajst-20790	17	6	modeling	modeling	NOUN
ajst-20790	17	7	,	,	PUNCT
ajst-20790	17	8	this	this	DET
ajst-20790	17	9	study	study	NOUN
ajst-20790	17	10	will	will	AUX
ajst-20790	17	11	use	use	VERB
ajst-20790	17	12	curve	curve	NOUN
ajst-20790	17	13	fitting	fitting	ADJ
ajst-20790	17	14	and	and	CCONJ
ajst-20790	17	15	interpolation	interpolation	NOUN
ajst-20790	17	16	methods	method	NOUN
ajst-20790	17	17	to	to	PART
ajst-20790	17	18	provide	provide	VERB
ajst-20790	17	19	predicted	predict	VERB
ajst-20790	17	20	value	value	NOUN
ajst-20790	17	21	and	and	CCONJ
ajst-20790	17	22	expected	expect	VERB
ajst-20790	17	23	value	value	NOUN
ajst-20790	17	24	analysis	analysis	NOUN
ajst-20790	17	25	to	to	PART
ajst-20790	17	26	compare	compare	VERB
ajst-20790	17	27	the	the	DET
ajst-20790	17	28	predicted	predict	VERB
ajst-20790	17	29	value	value	NOUN
ajst-20790	17	30	and	and	CCONJ
ajst-20790	17	31	the	the	DET
ajst-20790	17	32	actual	actual	ADJ
ajst-20790	17	33	value	value	NOUN
ajst-20790	17	34	.	.	PUNCT
ajst-20790	18	1	through	through	ADP
ajst-20790	18	2	scientific	scientific	ADJ
ajst-20790	18	3	and	and	CCONJ
ajst-20790	18	4	reasonable	reasonable	ADJ
ajst-20790	18	5	population	population	NOUN
ajst-20790	18	6	forecasting	forecasting	NOUN
ajst-20790	18	7	,	,	PUNCT
ajst-20790	18	8	we	we	PRON
ajst-20790	18	9	can	can	AUX
ajst-20790	18	10	understand	understand	VERB
ajst-20790	18	11	the	the	DET
ajst-20790	18	12	population	population	NOUN
ajst-20790	18	13	size	size	NOUN
ajst-20790	18	14	and	and	CCONJ
ajst-20790	18	15	age	age	NOUN
ajst-20790	18	16	structure	structure	NOUN
ajst-20790	18	17	in	in	ADP
ajst-20790	18	18	a	a	DET
ajst-20790	18	19	certain	certain	ADJ
ajst-20790	18	20	period	period	NOUN
ajst-20790	18	21	in	in	ADP
ajst-20790	18	22	the	the	DET
ajst-20790	18	23	future	future	NOUN
ajst-20790	18	24	,	,	PUNCT
ajst-20790	18	25	which	which	PRON
ajst-20790	18	26	helps	help	VERB
ajst-20790	18	27	the	the	DET
ajst-20790	18	28	authorities	authority	NOUN
ajst-20790	18	29	to	to	PART
ajst-20790	18	30	understand	understand	VERB
ajst-20790	18	31	the	the	DET
ajst-20790	18	32	future	future	ADJ
ajst-20790	18	33	labor	labor	NOUN
ajst-20790	18	34	resources	resource	NOUN
ajst-20790	18	35	of	of	ADP
ajst-20790	18	36	the	the	DET
ajst-20790	18	37	country	country	NOUN
ajst-20790	18	38	,	,	PUNCT
ajst-20790	18	39	do	do	VERB
ajst-20790	18	40	a	a	DET
ajst-20790	18	41	good	good	ADJ
ajst-20790	18	42	job	job	NOUN
ajst-20790	18	43	in	in	ADP
ajst-20790	18	44	labor	labor	NOUN
ajst-20790	18	45	distribution	distribution	NOUN
ajst-20790	18	46	and	and	CCONJ
ajst-20790	18	47	balance	balance	NOUN
ajst-20790	18	48	,	,	PUNCT
ajst-20790	18	49	allocate	allocate	VERB
ajst-20790	18	50	social	social	ADJ
ajst-20790	18	51	resources	resource	NOUN
ajst-20790	18	52	with	with	ADP
ajst-20790	18	53	maximum	maximum	ADJ
ajst-20790	18	54	efficiency	efficiency	NOUN
ajst-20790	18	55	,	,	PUNCT
ajst-20790	18	56	formulate	formulate	VERB
ajst-20790	18	57	more	more	ADV
ajst-20790	18	58	reasonable	reasonable	ADJ
ajst-20790	18	59	plans	plan	NOUN
ajst-20790	18	60	for	for	ADP
ajst-20790	18	61	social	social	ADJ
ajst-20790	18	62	welfare	welfare	NOUN
ajst-20790	18	63	,	,	PUNCT
ajst-20790	18	64	culture	culture	NOUN
ajst-20790	18	65	,	,	PUNCT
ajst-20790	18	66	education	education	NOUN
ajst-20790	18	67	and	and	CCONJ
ajst-20790	18	68	health	health	NOUN
ajst-20790	18	69	,	,	PUNCT
ajst-20790	18	70	urban	urban	ADJ
ajst-20790	18	71	development	development	NOUN
ajst-20790	18	72	and	and	CCONJ
ajst-20790	18	73	construction	construction	NOUN
ajst-20790	18	74	,	,	PUNCT
ajst-20790	18	75	and	and	CCONJ
ajst-20790	18	76	realize	realize	VERB
ajst-20790	18	77	the	the	DET
ajst-20790	18	78	virtuous	virtuous	ADJ
ajst-20790	18	79	circle	circle	NOUN
ajst-20790	18	80	of	of	ADP
ajst-20790	18	81	the	the	DET
ajst-20790	18	82	whole	whole	ADJ
ajst-20790	18	83	society	society	NOUN
ajst-20790	18	84	4	4	X
ajst-20790	18	85	.	.	PUNCT
ajst-20790	18	86	literature	literature	NOUN
ajst-20790	18	87	review	review	NOUN
ajst-20790	18	88	in	in	ADP
ajst-20790	18	89	the	the	DET
ajst-20790	18	90	study	study	NOUN
ajst-20790	18	91	of	of	ADP
ajst-20790	18	92	fu	fu	PROPN
ajst-20790	18	93	yanru	yanru	NOUN
ajst-20790	18	94	[	[	X
ajst-20790	18	95	1	1	NUM
ajst-20790	18	96	]	]	PUNCT
ajst-20790	18	97	,	,	PUNCT
ajst-20790	18	98	the	the	DET
ajst-20790	18	99	author	author	NOUN
ajst-20790	18	100	believes	believe	VERB
ajst-20790	18	101	that	that	SCONJ
ajst-20790	18	102	the	the	DET
ajst-20790	18	103	long	long	ADJ
ajst-20790	18	104	-	-	PUNCT
ajst-20790	18	105	term	term	NOUN
ajst-20790	18	106	population	population	NOUN
ajst-20790	18	107	prediction	prediction	NOUN
ajst-20790	18	108	level	level	NOUN
ajst-20790	18	109	of	of	ADP
ajst-20790	18	110	the	the	DET
ajst-20790	18	111	logistic	logistic	ADJ
ajst-20790	18	112	model	model	NOUN
ajst-20790	18	113	depends	depend	VERB
ajst-20790	18	114	on	on	ADP
ajst-20790	18	115	the	the	DET
ajst-20790	18	116	determination	determination	NOUN
ajst-20790	18	117	and	and	CCONJ
ajst-20790	18	118	selection	selection	NOUN
ajst-20790	18	119	of	of	ADP
ajst-20790	18	120	model	model	NOUN
ajst-20790	18	121	parameters	parameter	NOUN
ajst-20790	18	122	,	,	PUNCT
ajst-20790	18	123	so	so	SCONJ
ajst-20790	18	124	as	as	SCONJ
ajst-20790	18	125	to	to	PART
ajst-20790	18	126	improve	improve	VERB
ajst-20790	18	127	the	the	DET
ajst-20790	18	128	accuracy	accuracy	NOUN
ajst-20790	18	129	of	of	ADP
ajst-20790	18	130	prediction	prediction	NOUN
ajst-20790	18	131	.	.	PUNCT
ajst-20790	19	1	it	it	PRON
ajst-20790	19	2	is	be	AUX
ajst-20790	19	3	not	not	PART
ajst-20790	19	4	only	only	ADV
ajst-20790	19	5	necessary	necessary	ADJ
ajst-20790	19	6	to	to	PART
ajst-20790	19	7	simulate	simulate	VERB
ajst-20790	19	8	a	a	DET
ajst-20790	19	9	large	large	ADJ
ajst-20790	19	10	number	number	NOUN
ajst-20790	19	11	of	of	ADP
ajst-20790	19	12	measured	measured	ADJ
ajst-20790	19	13	parameters	parameter	NOUN
ajst-20790	19	14	,	,	PUNCT
ajst-20790	19	15	but	but	CCONJ
ajst-20790	19	16	also	also	ADV
ajst-20790	19	17	to	to	PART
ajst-20790	19	18	verify	verify	VERB
ajst-20790	19	19	the	the	DET
ajst-20790	19	20	actual	actual	ADJ
ajst-20790	19	21	demographic	demographic	ADJ
ajst-20790	19	22	data	datum	NOUN
ajst-20790	19	23	dating	date	VERB
ajst-20790	19	24	back	back	ADV
ajst-20790	19	25	over	over	ADP
ajst-20790	19	26	the	the	DET
ajst-20790	19	27	years	year	NOUN
ajst-20790	19	28	.	.	PUNCT
ajst-20790	20	1	by	by	ADP
ajst-20790	20	2	using	use	VERB
ajst-20790	20	3	matlab	matlab	PROPN
ajst-20790	20	4	platform	platform	NOUN
ajst-20790	20	5	and	and	CCONJ
ajst-20790	20	6	combining	combine	VERB
ajst-20790	20	7	the	the	DET
ajst-20790	20	8	demographic	demographic	ADJ
ajst-20790	20	9	data	datum	NOUN
ajst-20790	20	10	of	of	ADP
ajst-20790	20	11	china	china	PROPN
ajst-20790	20	12	from	from	ADP
ajst-20790	20	13	1990	1990	NUM
ajst-20790	20	14	to	to	ADP
ajst-20790	20	15	2008	2008	NUM
ajst-20790	20	16	,	,	PUNCT
ajst-20790	20	17	the	the	DET
ajst-20790	20	18	author	author	NOUN
ajst-20790	20	19	constructed	construct	VERB
ajst-20790	20	20	a	a	DET
ajst-20790	20	21	polynomial	polynomial	ADJ
ajst-20790	20	22	fitting	fitting	ADJ
ajst-20790	20	23	model	model	NOUN
ajst-20790	20	24	,	,	PUNCT
ajst-20790	20	25	a	a	DET
ajst-20790	20	26	near	near	ADJ
ajst-20790	20	27	-	-	PUNCT
ajst-20790	20	28	term	term	NOUN
ajst-20790	20	29	population	population	NOUN
ajst-20790	20	30	forecasting	forecasting	NOUN
ajst-20790	20	31	model	model	NOUN
ajst-20790	20	32	and	and	CCONJ
ajst-20790	20	33	a	a	DET
ajst-20790	20	34	fourier	fourier	NOUN
ajst-20790	20	35	series	series	NOUN
ajst-20790	20	36	fitting	fitting	PROPN
ajst-20790	20	37	model	model	NOUN
ajst-20790	20	38	,	,	PUNCT
ajst-20790	20	39	which	which	PRON
ajst-20790	20	40	corrected	correct	VERB
ajst-20790	20	41	the	the	DET
ajst-20790	20	42	model	model	NOUN
ajst-20790	20	43	parameters	parameter	NOUN
ajst-20790	20	44	,	,	PUNCT
ajst-20790	20	45	corrected	correct	VERB
ajst-20790	20	46	the	the	DET
ajst-20790	20	47	control	control	NOUN
ajst-20790	20	48	errors	error	NOUN
ajst-20790	20	49	of	of	ADP
ajst-20790	20	50	the	the	DET
ajst-20790	20	51	medium	medium	ADJ
ajst-20790	20	52	and	and	CCONJ
ajst-20790	20	53	long	long	ADJ
ajst-20790	20	54	-	-	PUNCT
ajst-20790	20	55	term	term	NOUN
ajst-20790	20	56	population	population	NOUN
ajst-20790	20	57	forecasting	forecasting	NOUN
ajst-20790	20	58	,	,	PUNCT
ajst-20790	20	59	and	and	CCONJ
ajst-20790	20	60	improved	improve	VERB
ajst-20790	20	61	the	the	DET
ajst-20790	20	62	accuracy	accuracy	NOUN
ajst-20790	20	63	of	of	ADP
ajst-20790	20	64	the	the	DET
ajst-20790	20	65	forecasting	forecasting	NOUN
ajst-20790	20	66	model	model	NOUN
ajst-20790	20	67	in	in	ADP
ajst-20790	20	68	the	the	DET
ajst-20790	20	69	study	study	NOUN
ajst-20790	20	70	of	of	ADP
ajst-20790	20	71	yi	yi	PROPN
ajst-20790	20	72	liang	liang	PROPN
ajst-20790	21	1	[	[	X
ajst-20790	21	2	2	2	NUM
ajst-20790	21	3	]	]	PUNCT
ajst-20790	21	4	,	,	PUNCT
ajst-20790	21	5	the	the	DET
ajst-20790	21	6	author	author	NOUN
ajst-20790	21	7	combined	combine	VERB
ajst-20790	21	8	the	the	DET
ajst-20790	21	9	prediction	prediction	NOUN
ajst-20790	21	10	principle	principle	NOUN
ajst-20790	21	11	of	of	ADP
ajst-20790	21	12	curve	curve	NOUN
ajst-20790	21	13	fitting	fitting	ADJ
ajst-20790	21	14	,	,	PUNCT
ajst-20790	21	15	grey	grey	ADJ
ajst-20790	21	16	system	system	NOUN
ajst-20790	21	17	theory	theory	NOUN
ajst-20790	21	18	and	and	CCONJ
ajst-20790	21	19	interpolation	interpolation	NOUN
ajst-20790	21	20	method	method	NOUN
ajst-20790	21	21	respectively	respectively	ADV
ajst-20790	21	22	,	,	PUNCT
ajst-20790	21	23	and	and	CCONJ
ajst-20790	21	24	realized	realize	VERB
ajst-20790	21	25	the	the	DET
ajst-20790	21	26	prediction	prediction	NOUN
ajst-20790	21	27	of	of	ADP
ajst-20790	21	28	china	china	PROPN
ajst-20790	21	29	's	's	PART
ajst-20790	21	30	population	population	NOUN
ajst-20790	21	31	development	development	NOUN
ajst-20790	21	32	in	in	ADP
ajst-20790	21	33	the	the	DET
ajst-20790	21	34	next	next	ADJ
ajst-20790	21	35	15	15	NUM
ajst-20790	21	36	years	year	NOUN
ajst-20790	21	37	through	through	ADP
ajst-20790	21	38	matlab	matlab	PROPN
ajst-20790	21	39	programming	programming	NOUN
ajst-20790	21	40	,	,	PUNCT
ajst-20790	21	41	and	and	CCONJ
ajst-20790	21	42	analyzed	analyze	VERB
ajst-20790	21	43	and	and	CCONJ
ajst-20790	21	44	compared	compare	VERB
ajst-20790	21	45	the	the	DET
ajst-20790	21	46	prediction	prediction	NOUN
ajst-20790	21	47	results	result	NOUN
ajst-20790	21	48	,	,	PUNCT
ajst-20790	21	49	so	so	SCONJ
ajst-20790	21	50	as	as	SCONJ
ajst-20790	21	51	to	to	PART
ajst-20790	21	52	find	find	VERB
ajst-20790	21	53	a	a	DET
ajst-20790	21	54	more	more	ADV
ajst-20790	21	55	reasonable	reasonable	ADJ
ajst-20790	21	56	prediction	prediction	NOUN
ajst-20790	21	57	method	method	NOUN
ajst-20790	21	58	.	.	PUNCT
ajst-20790	22	1	by	by	ADP
ajst-20790	22	2	using	use	VERB
ajst-20790	22	3	curve	curve	NOUN
ajst-20790	22	4	fitting	fitting	ADJ
ajst-20790	22	5	,	,	PUNCT
ajst-20790	22	6	grey	grey	ADJ
ajst-20790	22	7	system	system	NOUN
ajst-20790	22	8	theory	theory	NOUN
ajst-20790	22	9	and	and	CCONJ
ajst-20790	22	10	interpolation	interpolation	NOUN
ajst-20790	22	11	method	method	NOUN
ajst-20790	22	12	to	to	PART
ajst-20790	22	13	forecast	forecast	VERB
ajst-20790	22	14	and	and	CCONJ
ajst-20790	22	15	compare	compare	VERB
ajst-20790	22	16	the	the	DET
ajst-20790	22	17	population	population	NOUN
ajst-20790	22	18	of	of	ADP
ajst-20790	22	19	our	our	PRON
ajst-20790	22	20	country	country	NOUN
ajst-20790	22	21	in	in	ADP
ajst-20790	22	22	the	the	DET
ajst-20790	22	23	next	next	ADJ
ajst-20790	22	24	15	15	NUM
ajst-20790	22	25	years	year	NOUN
ajst-20790	22	26	,	,	PUNCT
ajst-20790	22	27	the	the	DET
ajst-20790	22	28	author	author	NOUN
ajst-20790	22	29	finds	find	VERB
ajst-20790	22	30	that	that	SCONJ
ajst-20790	22	31	the	the	DET
ajst-20790	22	32	prediction	prediction	NOUN
ajst-20790	22	33	effect	effect	NOUN
ajst-20790	22	34	of	of	ADP
ajst-20790	22	35	curve	curve	NOUN
ajst-20790	22	36	fitting	fitting	ADJ
ajst-20790	22	37	method	method	NOUN
ajst-20790	22	38	is	be	AUX
ajst-20790	22	39	the	the	DET
ajst-20790	22	40	best	good	ADJ
ajst-20790	22	41	for	for	ADP
ajst-20790	22	42	the	the	DET
ajst-20790	22	43	short	short	ADJ
ajst-20790	22	44	time	time	NOUN
ajst-20790	22	45	period	period	NOUN
ajst-20790	22	46	of	of	ADP
ajst-20790	22	47	population	population	NOUN
ajst-20790	22	48	88	88	NUM
ajst-20790	22	49	prediction	prediction	NOUN
ajst-20790	22	50	,	,	PUNCT
ajst-20790	22	51	but	but	CCONJ
ajst-20790	22	52	for	for	ADP
ajst-20790	22	53	the	the	DET
ajst-20790	22	54	long	long	ADJ
ajst-20790	22	55	time	time	NOUN
ajst-20790	22	56	of	of	ADP
ajst-20790	22	57	population	population	NOUN
ajst-20790	22	58	prediction	prediction	NOUN
ajst-20790	22	59	,	,	PUNCT
ajst-20790	22	60	the	the	DET
ajst-20790	22	61	effect	effect	NOUN
ajst-20790	22	62	of	of	ADP
ajst-20790	22	63	grey	grey	ADJ
ajst-20790	22	64	prediction	prediction	NOUN
ajst-20790	22	65	method	method	NOUN
ajst-20790	22	66	is	be	AUX
ajst-20790	22	67	better	well	ADJ
ajst-20790	22	68	.	.	PUNCT
ajst-20790	23	1	in	in	ADP
ajst-20790	23	2	the	the	DET
ajst-20790	23	3	study	study	NOUN
ajst-20790	23	4	of	of	ADP
ajst-20790	23	5	chen	chen	PROPN
ajst-20790	23	6	xia	xia	PROPN
ajst-20790	23	7	and	and	CCONJ
ajst-20790	23	8	xiao	xiao	PROPN
ajst-20790	23	9	lan	lan	PROPN
ajst-20790	23	10	[	[	X
ajst-20790	23	11	3	3	NUM
ajst-20790	23	12	]	]	PUNCT
ajst-20790	23	13	,	,	PUNCT
ajst-20790	23	14	the	the	DET
ajst-20790	23	15	author	author	NOUN
ajst-20790	23	16	introduced	introduce	VERB
ajst-20790	23	17	the	the	DET
ajst-20790	23	18	harvest	harvest	NOUN
ajst-20790	23	19	function	function	NOUN
ajst-20790	23	20	into	into	ADP
ajst-20790	23	21	the	the	DET
ajst-20790	23	22	logistic	logistic	ADJ
ajst-20790	23	23	growth	growth	NOUN
ajst-20790	23	24	model	model	NOUN
ajst-20790	23	25	.	.	PUNCT
ajst-20790	24	1	therefore	therefore	ADV
ajst-20790	24	2	,	,	PUNCT
ajst-20790	24	3	a	a	DET
ajst-20790	24	4	new	new	ADJ
ajst-20790	24	5	improved	improved	ADJ
ajst-20790	24	6	model	model	NOUN
ajst-20790	24	7	is	be	AUX
ajst-20790	24	8	established	establish	VERB
ajst-20790	24	9	,	,	PUNCT
ajst-20790	24	10	and	and	CCONJ
ajst-20790	24	11	the	the	DET
ajst-20790	24	12	relevant	relevant	ADJ
ajst-20790	24	13	unknown	unknown	ADJ
ajst-20790	24	14	parameters	parameter	NOUN
ajst-20790	24	15	in	in	ADP
ajst-20790	24	16	the	the	DET
ajst-20790	24	17	model	model	NOUN
ajst-20790	24	18	are	be	AUX
ajst-20790	24	19	estimated	estimate	VERB
ajst-20790	24	20	by	by	ADP
ajst-20790	24	21	using	use	VERB
ajst-20790	24	22	the	the	DET
ajst-20790	24	23	least	least	ADJ
ajst-20790	24	24	square	square	ADJ
ajst-20790	24	25	method	method	NOUN
ajst-20790	24	26	.	.	PUNCT
ajst-20790	25	1	through	through	ADP
ajst-20790	25	2	curve	curve	NOUN
ajst-20790	25	3	fitting	fitting	ADJ
ajst-20790	25	4	and	and	CCONJ
ajst-20790	25	5	data	datum	NOUN
ajst-20790	25	6	comparison	comparison	NOUN
ajst-20790	25	7	,	,	PUNCT
ajst-20790	25	8	the	the	DET
ajst-20790	25	9	improved	improved	ADJ
ajst-20790	25	10	model	model	NOUN
ajst-20790	25	11	is	be	AUX
ajst-20790	25	12	applied	apply	VERB
ajst-20790	25	13	to	to	ADP
ajst-20790	25	14	china	china	PROPN
ajst-20790	25	15	's	's	PART
ajst-20790	25	16	population	population	NOUN
ajst-20790	25	17	prediction	prediction	NOUN
ajst-20790	25	18	,	,	PUNCT
ajst-20790	25	19	and	and	CCONJ
ajst-20790	25	20	good	good	ADJ
ajst-20790	25	21	results	result	NOUN
ajst-20790	25	22	are	be	AUX
ajst-20790	25	23	obtained	obtain	VERB
ajst-20790	25	24	,	,	PUNCT
ajst-20790	25	25	which	which	PRON
ajst-20790	25	26	provides	provide	VERB
ajst-20790	25	27	certain	certain	ADJ
ajst-20790	25	28	reference	reference	NOUN
ajst-20790	25	29	value	value	NOUN
ajst-20790	25	30	for	for	ADP
ajst-20790	25	31	china	china	PROPN
ajst-20790	25	32	's	's	PART
ajst-20790	25	33	population	population	NOUN
ajst-20790	25	34	prediction	prediction	NOUN
ajst-20790	25	35	in	in	ADP
ajst-20790	25	36	the	the	DET
ajst-20790	25	37	future	future	NOUN
ajst-20790	25	38	.	.	PUNCT
ajst-20790	26	1	in	in	ADP
ajst-20790	26	2	the	the	DET
ajst-20790	26	3	research	research	NOUN
ajst-20790	26	4	of	of	ADP
ajst-20790	26	5	sheng	sheng	PROPN
ajst-20790	26	6	yinan	yinan	PROPN
ajst-20790	26	7	and	and	CCONJ
ajst-20790	26	8	gu	gu	PROPN
ajst-20790	26	9	danan	danan	PROPN
ajst-20790	26	10	.	.	PUNCT
ajst-20790	27	1	the	the	DET
ajst-20790	27	2	author	author	NOUN
ajst-20790	27	3	briefly	briefly	NOUN
ajst-20790	27	4	introduces	introduce	VERB
ajst-20790	27	5	the	the	DET
ajst-20790	27	6	principle	principle	NOUN
ajst-20790	27	7	of	of	ADP
ajst-20790	27	8	bayesian	bayesian	NOUN
ajst-20790	27	9	stratified	stratify	VERB
ajst-20790	27	10	probability	probability	NOUN
ajst-20790	27	11	population	population	NOUN
ajst-20790	27	12	forecasting	forecasting	NOUN
ajst-20790	27	13	method	method	NOUN
ajst-20790	27	14	and	and	CCONJ
ajst-20790	27	15	gives	give	VERB
ajst-20790	27	16	an	an	DET
ajst-20790	27	17	example	example	NOUN
ajst-20790	27	18	of	of	ADP
ajst-20790	27	19	the	the	DET
ajst-20790	27	20	results	result	NOUN
ajst-20790	27	21	of	of	ADP
ajst-20790	27	22	bayesian	bayesian	NOUN
ajst-20790	27	23	stratified	stratify	VERB
ajst-20790	27	24	probability	probability	NOUN
ajst-20790	27	25	population	population	NOUN
ajst-20790	27	26	forecasting	forecasting	NOUN
ajst-20790	27	27	by	by	ADP
ajst-20790	27	28	taking	take	VERB
ajst-20790	27	29	china	china	PROPN
ajst-20790	27	30	as	as	ADP
ajst-20790	27	31	an	an	DET
ajst-20790	27	32	example	example	NOUN
ajst-20790	27	33	.	.	PUNCT
ajst-20790	28	1	there	there	PRON
ajst-20790	28	2	is	be	VERB
ajst-20790	28	3	no	no	DET
ajst-20790	28	4	doubt	doubt	NOUN
ajst-20790	28	5	that	that	SCONJ
ajst-20790	28	6	the	the	DET
ajst-20790	28	7	classical	classical	ADJ
ajst-20790	28	8	deterministic	deterministic	ADJ
ajst-20790	28	9	forecasting	forecasting	NOUN
ajst-20790	28	10	method	method	NOUN
ajst-20790	28	11	of	of	ADP
ajst-20790	28	12	demography	demography	NOUN
ajst-20790	28	13	has	have	AUX
ajst-20790	28	14	played	play	VERB
ajst-20790	28	15	an	an	DET
ajst-20790	28	16	important	important	ADJ
ajst-20790	28	17	role	role	NOUN
ajst-20790	28	18	in	in	ADP
ajst-20790	28	19	the	the	DET
ajst-20790	28	20	past	past	ADJ
ajst-20790	28	21	population	population	NOUN
ajst-20790	28	22	forecasting	forecasting	NOUN
ajst-20790	28	23	.	.	PUNCT
ajst-20790	29	1	however	however	ADV
ajst-20790	29	2	,	,	PUNCT
ajst-20790	29	3	since	since	SCONJ
ajst-20790	29	4	this	this	DET
ajst-20790	29	5	method	method	NOUN
ajst-20790	29	6	divides	divide	VERB
ajst-20790	29	7	the	the	DET
ajst-20790	29	8	population	population	NOUN
ajst-20790	29	9	change	change	NOUN
ajst-20790	29	10	trend	trend	NOUN
ajst-20790	29	11	into	into	ADP
ajst-20790	29	12	different	different	ADJ
ajst-20790	29	13	plans	plan	NOUN
ajst-20790	29	14	for	for	ADP
ajst-20790	29	15	forecasting	forecasting	NOUN
ajst-20790	29	16	,	,	PUNCT
ajst-20790	29	17	and	and	CCONJ
ajst-20790	29	18	only	only	ADV
ajst-20790	29	19	gives	give	VERB
ajst-20790	29	20	the	the	DET
ajst-20790	29	21	future	future	ADJ
ajst-20790	29	22	population	population	NOUN
ajst-20790	29	23	development	development	NOUN
ajst-20790	29	24	trend	trend	NOUN
ajst-20790	29	25	under	under	ADP
ajst-20790	29	26	a	a	DET
ajst-20790	29	27	certain	certain	ADJ
ajst-20790	29	28	scenario	scenario	NOUN
ajst-20790	29	29	,	,	PUNCT
ajst-20790	29	30	it	it	PRON
ajst-20790	29	31	can	can	AUX
ajst-20790	29	32	not	not	PART
ajst-20790	29	33	give	give	VERB
ajst-20790	29	34	the	the	DET
ajst-20790	29	35	possible	possible	ADJ
ajst-20790	29	36	probability	probability	NOUN
ajst-20790	29	37	of	of	ADP
ajst-20790	29	38	each	each	DET
ajst-20790	29	39	population	population	NOUN
ajst-20790	29	40	prediction	prediction	NOUN
ajst-20790	29	41	plan	plan	NOUN
ajst-20790	29	42	,	,	PUNCT
ajst-20790	29	43	nor	nor	CCONJ
ajst-20790	29	44	can	can	AUX
ajst-20790	29	45	it	it	PRON
ajst-20790	29	46	explain	explain	VERB
ajst-20790	29	47	the	the	DET
ajst-20790	29	48	uncertainty	uncertainty	NOUN
ajst-20790	29	49	of	of	ADP
ajst-20790	29	50	population	population	NOUN
ajst-20790	29	51	development	development	NOUN
ajst-20790	29	52	.	.	PUNCT
ajst-20790	30	1	the	the	DET
ajst-20790	30	2	probabilistic	probabilistic	ADJ
ajst-20790	30	3	population	population	NOUN
ajst-20790	30	4	forecasting	forecasting	NOUN
ajst-20790	30	5	method	method	NOUN
ajst-20790	30	6	fully	fully	ADV
ajst-20790	30	7	takes	take	VERB
ajst-20790	30	8	into	into	ADP
ajst-20790	30	9	account	account	NOUN
ajst-20790	30	10	the	the	DET
ajst-20790	30	11	influence	influence	NOUN
ajst-20790	30	12	of	of	ADP
ajst-20790	30	13	various	various	ADJ
ajst-20790	30	14	uncertainties	uncertainty	NOUN
ajst-20790	30	15	on	on	ADP
ajst-20790	30	16	population	population	NOUN
ajst-20790	30	17	development	development	NOUN
ajst-20790	30	18	.	.	PUNCT
ajst-20790	31	1	based	base	VERB
ajst-20790	31	2	on	on	ADP
ajst-20790	31	3	the	the	DET
ajst-20790	31	4	population	population	NOUN
ajst-20790	31	5	transition	transition	NOUN
ajst-20790	31	6	theory	theory	NOUN
ajst-20790	31	7	,	,	PUNCT
ajst-20790	31	8	the	the	DET
ajst-20790	31	9	united	united	PROPN
ajst-20790	31	10	nations	nations	PROPN
ajst-20790	31	11	population	population	NOUN
ajst-20790	31	12	division	division	NOUN
ajst-20790	31	13	uses	use	VERB
ajst-20790	31	14	a	a	DET
ajst-20790	31	15	bayesian	bayesian	NOUN
ajst-20790	31	16	hierarchical	hierarchical	ADJ
ajst-20790	31	17	model	model	NOUN
ajst-20790	31	18	to	to	PART
ajst-20790	31	19	construct	construct	VERB
ajst-20790	31	20	the	the	DET
ajst-20790	31	21	prior	prior	ADJ
ajst-20790	31	22	probabilities	probability	NOUN
ajst-20790	31	23	of	of	ADP
ajst-20790	31	24	the	the	DET
ajst-20790	31	25	distribution	distribution	NOUN
ajst-20790	31	26	of	of	ADP
ajst-20790	31	27	each	each	DET
ajst-20790	31	28	indicator	indicator	NOUN
ajst-20790	31	29	in	in	ADP
ajst-20790	31	30	each	each	DET
ajst-20790	31	31	country	country	NOUN
ajst-20790	31	32	.	.	PUNCT
ajst-20790	32	1	by	by	ADP
ajst-20790	32	2	using	use	VERB
ajst-20790	32	3	markov	markov	NOUN
ajst-20790	32	4	chain	chain	NOUN
ajst-20790	32	5	monte	monte	PROPN
ajst-20790	32	6	carlo	carlo	PROPN
ajst-20790	32	7	method	method	PROPN
ajst-20790	32	8	,	,	PUNCT
ajst-20790	32	9	series	series	NOUN
ajst-20790	32	10	correlation	correlation	NOUN
ajst-20790	32	11	model	model	NOUN
ajst-20790	32	12	and	and	CCONJ
ajst-20790	32	13	other	other	ADJ
ajst-20790	32	14	methods	method	NOUN
ajst-20790	32	15	,	,	PUNCT
ajst-20790	32	16	the	the	DET
ajst-20790	32	17	historical	historical	ADJ
ajst-20790	32	18	data	datum	NOUN
ajst-20790	32	19	of	of	ADP
ajst-20790	32	20	each	each	DET
ajst-20790	32	21	country	country	NOUN
ajst-20790	32	22	from	from	ADP
ajst-20790	32	23	1950	1950	NUM
ajst-20790	32	24	to	to	ADP
ajst-20790	32	25	the	the	DET
ajst-20790	32	26	present	present	NOUN
ajst-20790	32	27	are	be	AUX
ajst-20790	32	28	used	use	VERB
ajst-20790	32	29	as	as	ADP
ajst-20790	32	30	data	datum	NOUN
ajst-20790	32	31	sources	source	NOUN
ajst-20790	32	32	to	to	PART
ajst-20790	32	33	predict	predict	VERB
ajst-20790	32	34	the	the	DET
ajst-20790	32	35	total	total	ADJ
ajst-20790	32	36	fertility	fertility	NOUN
ajst-20790	32	37	rate	rate	NOUN
ajst-20790	32	38	,	,	PUNCT
ajst-20790	32	39	birth	birth	NOUN
ajst-20790	32	40	life	life	NOUN
ajst-20790	32	41	expectancy	expectancy	NOUN
ajst-20790	32	42	and	and	CCONJ
ajst-20790	32	43	total	total	ADJ
ajst-20790	32	44	population	population	NOUN
ajst-20790	32	45	.	.	PUNCT
ajst-20790	33	1	these	these	DET
ajst-20790	33	2	practices	practice	NOUN
ajst-20790	33	3	have	have	AUX
ajst-20790	33	4	greatly	greatly	ADV
ajst-20790	33	5	enriched	enrich	VERB
ajst-20790	33	6	the	the	DET
ajst-20790	33	7	data	datum	NOUN
ajst-20790	33	8	and	and	CCONJ
ajst-20790	33	9	improved	improve	VERB
ajst-20790	33	10	the	the	DET
ajst-20790	33	11	science	science	NOUN
ajst-20790	33	12	and	and	CCONJ
ajst-20790	33	13	reliability	reliability	NOUN
ajst-20790	33	14	of	of	ADP
ajst-20790	33	15	the	the	DET
ajst-20790	33	16	forecast	forecast	NOUN
ajst-20790	33	17	in	in	ADP
ajst-20790	33	18	1696	1696	NUM
ajst-20790	33	19	,	,	PUNCT
ajst-20790	33	20	professor	professor	NOUN
ajst-20790	33	21	g.king	g.king	NOUN
ajst-20790	33	22	,	,	PUNCT
ajst-20790	33	23	a	a	DET
ajst-20790	33	24	british	british	ADJ
ajst-20790	33	25	sociologist	sociologist	NOUN
ajst-20790	33	26	,	,	PUNCT
ajst-20790	33	27	first	first	ADV
ajst-20790	33	28	proposed	propose	VERB
ajst-20790	33	29	population	population	NOUN
ajst-20790	33	30	forecasting	forecasting	NOUN
ajst-20790	34	1	[	[	X
ajst-20790	34	2	4	4	NUM
ajst-20790	34	3	]	]	PUNCT
ajst-20790	34	4	,	,	PUNCT
ajst-20790	34	5	which	which	PRON
ajst-20790	34	6	opened	open	VERB
ajst-20790	34	7	the	the	DET
ajst-20790	34	8	door	door	NOUN
ajst-20790	34	9	of	of	ADP
ajst-20790	34	10	population	population	NOUN
ajst-20790	34	11	forecasting	forecasting	NOUN
ajst-20790	34	12	by	by	ADP
ajst-20790	34	13	constructing	construct	VERB
ajst-20790	34	14	some	some	DET
ajst-20790	34	15	very	very	ADV
ajst-20790	34	16	simple	simple	ADJ
ajst-20790	34	17	digital	digital	ADJ
ajst-20790	34	18	models	model	NOUN
ajst-20790	34	19	and	and	CCONJ
ajst-20790	34	20	carrying	carry	VERB
ajst-20790	34	21	out	out	ADP
ajst-20790	34	22	modular	modular	ADJ
ajst-20790	34	23	population	population	NOUN
ajst-20790	34	24	forecasting	forecasting	NOUN
ajst-20790	34	25	.	.	PUNCT
ajst-20790	35	1	then	then	ADV
ajst-20790	35	2	the	the	DET
ajst-20790	35	3	english	english	PROPN
ajst-20790	35	4	scholar	scholar	NOUN
ajst-20790	35	5	malthus	malthus	PROPN
ajst-20790	35	6	after	after	ADP
ajst-20790	35	7	collecting	collect	VERB
ajst-20790	35	8	population	population	NOUN
ajst-20790	35	9	data	datum	NOUN
ajst-20790	35	10	for	for	ADP
ajst-20790	35	11	more	more	ADJ
ajst-20790	35	12	than	than	ADP
ajst-20790	35	13	a	a	DET
ajst-20790	35	14	hundred	hundred	NUM
ajst-20790	35	15	years	year	NOUN
ajst-20790	35	16	and	and	CCONJ
ajst-20790	35	17	attempting	attempt	VERB
ajst-20790	35	18	quantitative	quantitative	ADJ
ajst-20790	35	19	analysis	analysis	NOUN
ajst-20790	35	20	,	,	PUNCT
ajst-20790	35	21	he	he	PRON
ajst-20790	35	22	concluded	conclude	VERB
ajst-20790	35	23	that	that	SCONJ
ajst-20790	35	24	the	the	DET
ajst-20790	35	25	net	net	ADJ
ajst-20790	35	26	population	population	NOUN
ajst-20790	35	27	growth	growth	NOUN
ajst-20790	35	28	constant	constant	ADJ
ajst-20790	35	29	was	be	AUX
ajst-20790	35	30	acceptable	acceptable	ADJ
ajst-20790	35	31	the	the	DET
ajst-20790	35	32	malthus	malthus	PROPN
ajst-20790	35	33	growth	growth	NOUN
ajst-20790	35	34	model	model	NOUN
ajst-20790	35	35	was	be	AUX
ajst-20790	35	36	proposed	propose	VERB
ajst-20790	35	37	.	.	PUNCT
ajst-20790	36	1	because	because	SCONJ
ajst-20790	36	2	it	it	PRON
ajst-20790	36	3	is	be	AUX
ajst-20790	36	4	simple	simple	ADJ
ajst-20790	36	5	and	and	CCONJ
ajst-20790	36	6	convenient	convenient	ADJ
ajst-20790	36	7	and	and	CCONJ
ajst-20790	36	8	improves	improve	VERB
ajst-20790	36	9	the	the	DET
ajst-20790	36	10	prediction	prediction	NOUN
ajst-20790	36	11	accuracy	accuracy	NOUN
ajst-20790	36	12	in	in	ADP
ajst-20790	36	13	the	the	DET
ajst-20790	36	14	short	short	ADJ
ajst-20790	36	15	term	term	NOUN
ajst-20790	36	16	,	,	PUNCT
ajst-20790	36	17	many	many	ADJ
ajst-20790	36	18	simple	simple	ADJ
ajst-20790	36	19	population	population	NOUN
ajst-20790	36	20	forecasts	forecast	NOUN
ajst-20790	36	21	use	use	VERB
ajst-20790	36	22	this	this	DET
ajst-20790	36	23	model	model	NOUN
ajst-20790	36	24	,	,	PUNCT
ajst-20790	36	25	but	but	CCONJ
ajst-20790	36	26	the	the	DET
ajst-20790	36	27	model	model	NOUN
ajst-20790	36	28	regards	regard	VERB
ajst-20790	36	29	the	the	DET
ajst-20790	36	30	net	net	ADJ
ajst-20790	36	31	growth	growth	NOUN
ajst-20790	36	32	rate	rate	NOUN
ajst-20790	36	33	as	as	ADP
ajst-20790	36	34	a	a	DET
ajst-20790	36	35	constant	constant	ADJ
ajst-20790	36	36	,	,	PUNCT
ajst-20790	36	37	which	which	PRON
ajst-20790	36	38	is	be	AUX
ajst-20790	36	39	obviously	obviously	ADV
ajst-20790	36	40	not	not	PART
ajst-20790	36	41	consistent	consistent	ADJ
ajst-20790	36	42	with	with	ADP
ajst-20790	36	43	the	the	DET
ajst-20790	36	44	long	long	ADJ
ajst-20790	36	45	-	-	PUNCT
ajst-20790	36	46	term	term	NOUN
ajst-20790	36	47	development	development	NOUN
ajst-20790	36	48	trend	trend	NOUN
ajst-20790	36	49	of	of	ADP
ajst-20790	36	50	population	population	NOUN
ajst-20790	36	51	growth	growth	NOUN
ajst-20790	36	52	in	in	ADP
ajst-20790	36	53	1938	1938	NUM
ajst-20790	36	54	,	,	PUNCT
ajst-20790	36	55	dutch	dutch	ADJ
ajst-20790	36	56	mathematician	mathematician	ADJ
ajst-20790	36	57	p.f.verhulst	p.f.verhulst	NOUN
ajst-20790	36	58	constructed	construct	VERB
ajst-20790	36	59	the	the	DET
ajst-20790	36	60	logistic	logistic	ADJ
ajst-20790	36	61	retarded	retarded	ADJ
ajst-20790	36	62	growth	growth	NOUN
ajst-20790	36	63	model	model	NOUN
ajst-20790	36	64	[	[	X
ajst-20790	36	65	5	5	NUM
ajst-20790	36	66	]	]	PUNCT
ajst-20790	36	67	.	.	PUNCT
ajst-20790	37	1	its	its	PRON
ajst-20790	37	2	core	core	ADJ
ajst-20790	37	3	idea	idea	NOUN
ajst-20790	37	4	is	be	AUX
ajst-20790	37	5	to	to	PART
ajst-20790	37	6	assume	assume	VERB
ajst-20790	37	7	that	that	SCONJ
ajst-20790	37	8	the	the	DET
ajst-20790	37	9	number	number	NOUN
ajst-20790	37	10	of	of	ADP
ajst-20790	37	11	individual	individual	ADJ
ajst-20790	37	12	species	specie	NOUN
ajst-20790	37	13	will	will	AUX
ajst-20790	37	14	show	show	VERB
ajst-20790	37	15	an	an	DET
ajst-20790	37	16	exponential	exponential	ADJ
ajst-20790	37	17	growth	growth	NOUN
ajst-20790	37	18	trend	trend	NOUN
ajst-20790	37	19	under	under	ADP
ajst-20790	37	20	natural	natural	ADJ
ajst-20790	37	21	conditions	condition	NOUN
ajst-20790	37	22	.	.	PUNCT
ajst-20790	38	1	with	with	ADP
ajst-20790	38	2	the	the	DET
ajst-20790	38	3	increase	increase	NOUN
ajst-20790	38	4	of	of	ADP
ajst-20790	38	5	the	the	DET
ajst-20790	38	6	number	number	NOUN
ajst-20790	38	7	of	of	ADP
ajst-20790	38	8	individuals	individual	NOUN
ajst-20790	38	9	,	,	PUNCT
ajst-20790	38	10	the	the	DET
ajst-20790	38	11	marginal	marginal	ADJ
ajst-20790	38	12	distribution	distribution	NOUN
ajst-20790	38	13	of	of	ADP
ajst-20790	38	14	per	per	X
ajst-20790	38	15	capita	capita	X
ajst-20790	38	16	resources	resource	NOUN
ajst-20790	38	17	will	will	AUX
ajst-20790	38	18	decrease	decrease	VERB
ajst-20790	38	19	,	,	PUNCT
ajst-20790	38	20	and	and	CCONJ
ajst-20790	38	21	the	the	DET
ajst-20790	38	22	growth	growth	NOUN
ajst-20790	38	23	rate	rate	NOUN
ajst-20790	38	24	will	will	AUX
ajst-20790	38	25	gradually	gradually	ADV
ajst-20790	38	26	slow	slow	VERB
ajst-20790	38	27	down	down	ADP
ajst-20790	38	28	and	and	CCONJ
ajst-20790	38	29	eventually	eventually	ADV
ajst-20790	38	30	approach	approach	VERB
ajst-20790	38	31	a	a	DET
ajst-20790	38	32	fixed	fix	VERB
ajst-20790	38	33	value	value	NOUN
ajst-20790	38	34	.	.	PUNCT
ajst-20790	39	1	this	this	DET
ajst-20790	39	2	model	model	NOUN
ajst-20790	39	3	makes	make	VERB
ajst-20790	39	4	population	population	NOUN
ajst-20790	39	5	prediction	prediction	NOUN
ajst-20790	39	6	more	more	ADV
ajst-20790	39	7	standardized	standardized	ADJ
ajst-20790	39	8	and	and	CCONJ
ajst-20790	39	9	reasonable	reasonable	ADJ
ajst-20790	39	10	,	,	PUNCT
ajst-20790	39	11	so	so	CCONJ
ajst-20790	39	12	it	it	PRON
ajst-20790	39	13	is	be	AUX
ajst-20790	39	14	still	still	ADV
ajst-20790	39	15	widely	widely	ADV
ajst-20790	39	16	used	use	VERB
ajst-20790	39	17	today	today	NOUN
ajst-20790	39	18	.	.	PUNCT
ajst-20790	40	1	in	in	ADP
ajst-20790	40	2	1945	1945	NUM
ajst-20790	40	3	,	,	PUNCT
ajst-20790	40	4	leslie	leslie	PROPN
ajst-20790	40	5	proposed	propose	VERB
ajst-20790	40	6	the	the	DET
ajst-20790	40	7	leslie	leslie	PROPN
ajst-20790	40	8	matrix	matrix	NOUN
ajst-20790	40	9	,	,	PUNCT
ajst-20790	40	10	which	which	PRON
ajst-20790	40	11	led	lead	VERB
ajst-20790	40	12	to	to	ADP
ajst-20790	40	13	the	the	DET
ajst-20790	40	14	famous	famous	ADJ
ajst-20790	40	15	prediction	prediction	NOUN
ajst-20790	40	16	model	model	NOUN
ajst-20790	40	17	,	,	PUNCT
ajst-20790	40	18	the	the	DET
ajst-20790	40	19	leslie	leslie	PROPN
ajst-20790	40	20	matrix	matrix	NOUN
ajst-20790	40	21	model	model	NOUN
ajst-20790	41	1	[	[	X
ajst-20790	41	2	6	6	NUM
ajst-20790	41	3	]	]	PUNCT
ajst-20790	41	4	.	.	PUNCT
ajst-20790	42	1	this	this	DET
ajst-20790	42	2	model	model	NOUN
ajst-20790	42	3	can	can	AUX
ajst-20790	42	4	be	be	AUX
ajst-20790	42	5	comprehensively	comprehensively	ADV
ajst-20790	42	6	tested	test	VERB
ajst-20790	42	7	considering	consider	VERB
ajst-20790	42	8	multiple	multiple	ADJ
ajst-20790	42	9	factors	factor	NOUN
ajst-20790	42	10	,	,	PUNCT
ajst-20790	42	11	the	the	DET
ajst-20790	42	12	matrix	matrix	NOUN
ajst-20790	42	13	is	be	AUX
ajst-20790	42	14	constructed	construct	VERB
ajst-20790	42	15	after	after	ADP
ajst-20790	42	16	the	the	DET
ajst-20790	42	17	age	age	NOUN
ajst-20790	42	18	distribution	distribution	NOUN
ajst-20790	42	19	,	,	PUNCT
ajst-20790	42	20	number	number	NOUN
ajst-20790	42	21	,	,	PUNCT
ajst-20790	42	22	birth	birth	NOUN
ajst-20790	42	23	rate	rate	NOUN
ajst-20790	42	24	and	and	CCONJ
ajst-20790	42	25	death	death	NOUN
ajst-20790	42	26	rate	rate	NOUN
ajst-20790	42	27	of	of	ADP
ajst-20790	42	28	the	the	DET
ajst-20790	42	29	population	population	NOUN
ajst-20790	42	30	are	be	AUX
ajst-20790	42	31	obtained	obtain	VERB
ajst-20790	42	32	predict	predict	VERB
ajst-20790	42	33	the	the	DET
ajst-20790	42	34	age	age	NOUN
ajst-20790	42	35	distribution	distribution	NOUN
ajst-20790	42	36	and	and	CCONJ
ajst-20790	42	37	quantity	quantity	NOUN
ajst-20790	42	38	of	of	ADP
ajst-20790	42	39	the	the	DET
ajst-20790	42	40	population	population	NOUN
ajst-20790	42	41	,	,	PUNCT
ajst-20790	42	42	and	and	CCONJ
ajst-20790	42	43	can	can	AUX
ajst-20790	42	44	evolve	evolve	VERB
ajst-20790	42	45	according	accord	VERB
ajst-20790	42	46	to	to	ADP
ajst-20790	42	47	the	the	DET
ajst-20790	42	48	time	time	NOUN
ajst-20790	42	49	period	period	NOUN
ajst-20790	42	50	to	to	PART
ajst-20790	42	51	achieve	achieve	VERB
ajst-20790	42	52	dynamic	dynamic	ADJ
ajst-20790	42	53	iteration	iteration	NOUN
ajst-20790	42	54	,	,	PUNCT
ajst-20790	42	55	which	which	PRON
ajst-20790	42	56	is	be	AUX
ajst-20790	42	57	in	in	ADP
ajst-20790	42	58	1960	1960	NUM
ajst-20790	42	59	in	in	ADP
ajst-20790	42	60	the	the	DET
ajst-20790	42	61	study	study	NOUN
ajst-20790	42	62	of	of	ADP
ajst-20790	42	63	australian	australian	ADJ
ajst-20790	42	64	population	population	NOUN
ajst-20790	42	65	data	datum	NOUN
ajst-20790	42	66	,	,	PUNCT
ajst-20790	42	67	the	the	DET
ajst-20790	42	68	results	result	NOUN
ajst-20790	42	69	are	be	AUX
ajst-20790	42	70	in	in	ADP
ajst-20790	42	71	good	good	ADJ
ajst-20790	42	72	agreement	agreement	NOUN
ajst-20790	42	73	with	with	ADP
ajst-20790	42	74	the	the	DET
ajst-20790	42	75	real	real	ADJ
ajst-20790	42	76	situation	situation	NOUN
ajst-20790	42	77	,	,	PUNCT
ajst-20790	42	78	thus	thus	ADV
ajst-20790	42	79	verifying	verify	VERB
ajst-20790	42	80	the	the	DET
ajst-20790	42	81	accuracy	accuracy	NOUN
ajst-20790	42	82	of	of	ADP
ajst-20790	42	83	the	the	DET
ajst-20790	42	84	model	model	NOUN
ajst-20790	42	85	in	in	ADP
ajst-20790	42	86	forecasting	forecasting	NOUN
ajst-20790	42	87	.	.	PUNCT
ajst-20790	43	1	5	5	X
ajst-20790	43	2	.	.	X
ajst-20790	43	3	curve	curve	VERB
ajst-20790	43	4	fitting	fitting	ADJ
ajst-20790	43	5	and	and	CCONJ
ajst-20790	43	6	cubic	cubic	ADJ
ajst-20790	43	7	spline	spline	NOUN
ajst-20790	43	8	interpolation	interpolation	NOUN
ajst-20790	43	9	theory	theory	NOUN
ajst-20790	43	10	knowledge	knowledge	NOUN
ajst-20790	43	11	5.1	5.1	NUM
ajst-20790	43	12	.	.	PUNCT
ajst-20790	44	1	curve	curve	VERB
ajst-20790	44	2	fitting	fit	VERB
ajst-20790	44	3	the	the	DET
ajst-20790	44	4	establishment	establishment	NOUN
ajst-20790	44	5	of	of	ADP
ajst-20790	44	6	curve	curve	NOUN
ajst-20790	44	7	fitting	fitting	ADJ
ajst-20790	44	8	model	model	NOUN
ajst-20790	44	9	is	be	AUX
ajst-20790	44	10	to	to	PART
ajst-20790	44	11	use	use	VERB
ajst-20790	44	12	the	the	DET
ajst-20790	44	13	least	least	ADJ
ajst-20790	44	14	square	square	ADJ
ajst-20790	44	15	method	method	NOUN
ajst-20790	44	16	,	,	PUNCT
ajst-20790	44	17	according	accord	VERB
ajst-20790	44	18	to	to	ADP
ajst-20790	44	19	the	the	DET
ajst-20790	44	20	experimental	experimental	ADJ
ajst-20790	44	21	data	datum	NOUN
ajst-20790	44	22	(	(	PUNCT
ajst-20790	44	23	xi	xi	PROPN
ajst-20790	44	24	,	,	PUNCT
ajst-20790	44	25	y	y	PROPN
ajst-20790	44	26	)	)	PUNCT
ajst-20790	44	27	(	(	PUNCT
ajst-20790	44	28	i=	i=	NOUN
ajst-20790	44	29	1,2	1,2	NUM
ajst-20790	44	30	,	,	PUNCT
ajst-20790	44	31	...	...	PUNCT
ajst-20790	44	32	,	,	PUNCT
ajst-20790	44	33	n	n	CCONJ
ajst-20790	44	34	)	)	PUNCT
ajst-20790	44	35	,	,	PUNCT
ajst-20790	44	36	to	to	PART
ajst-20790	44	37	find	find	VERB
ajst-20790	44	38	the	the	DET
ajst-20790	44	39	function	function	NOUN
ajst-20790	44	40	(	(	PUNCT
ajst-20790	44	41	f	f	NOUN
ajst-20790	44	42	x	x	PROPN
ajst-20790	44	43	)	)	PUNCT
ajst-20790	44	44	,	,	PUNCT
ajst-20790	44	45	after	after	SCONJ
ajst-20790	44	46	many	many	ADJ
ajst-20790	44	47	unknown	unknown	ADJ
ajst-20790	44	48	parameters	parameter	NOUN
ajst-20790	44	49	in	in	ADP
ajst-20790	44	50	the	the	DET
ajst-20790	44	51	undetermined	undetermined	ADJ
ajst-20790	44	52	function	function	NOUN
ajst-20790	44	53	(	(	PUNCT
ajst-20790	44	54	f	f	NOUN
ajst-20790	44	55	x	x	NOUN
ajst-20790	44	56	)	)	PUNCT
ajst-20790	44	57	or	or	CCONJ
ajst-20790	44	58	function	function	NOUN
ajst-20790	44	59	(	(	PUNCT
ajst-20790	44	60	f	f	NOUN
ajst-20790	44	61	x	x	PROPN
ajst-20790	44	62	)	)	PUNCT
ajst-20790	44	63	,	,	PUNCT
ajst-20790	44	64	such	such	ADJ
ajst-20790	44	65	that	that	SCONJ
ajst-20790	44	66	the	the	DET
ajst-20790	44	67	function	function	NOUN
ajst-20790	44	68	(	(	PUNCT
ajst-20790	44	69	f	f	NOUN
ajst-20790	44	70	x	x	X
ajst-20790	44	71	)	)	PUNCT
ajst-20790	44	72	is	be	AUX
ajst-20790	44	73	at	at	ADP
ajst-20790	44	74	the	the	DET
ajst-20790	44	75	point	point	NOUN
ajst-20790	44	76	x	x	X
ajst-20790	44	77	(	(	PUNCT
ajst-20790	44	78	i	i	PRON
ajst-20790	44	79	i=	i=	VERB
ajst-20790	44	80	1,2	1,2	NUM
ajst-20790	44	81	,	,	PUNCT
ajst-20790	44	82	...	...	PUNCT
ajst-20790	44	83	the	the	DET
ajst-20790	44	84	function	function	NOUN
ajst-20790	44	85	value	value	NOUN
ajst-20790	44	86	(	(	PUNCT
ajst-20790	44	87	f	f	NOUN
ajst-20790	44	88	x	x	X
ajst-20790	44	89	)	)	PUNCT
ajst-20790	44	90	at	at	ADP
ajst-20790	44	91	n	n	CCONJ
ajst-20790	44	92	)	)	PUNCT
ajst-20790	44	93	is	be	AUX
ajst-20790	44	94	minimized	minimize	VERB
ajst-20790	44	95	by	by	ADP
ajst-20790	44	96	the	the	DET
ajst-20790	44	97	sum	sum	NOUN
ajst-20790	44	98	of	of	ADP
ajst-20790	44	99	squares	square	NOUN
ajst-20790	44	100	of	of	ADP
ajst-20790	44	101	the	the	DET
ajst-20790	44	102	deviations	deviation	NOUN
ajst-20790	44	103	r=	r=	VERB
ajst-20790	45	1	n	n	ADV
ajst-20790	45	2	σi	σi	NOUN
ajst-20790	45	3	=	=	SYM
ajst-20790	45	4	1	1	NUM
ajst-20790	45	5	r	r	NOUN
ajst-20790	45	6	2	2	NUM
ajst-20790	45	7	i	i	NOUN
ajst-20790	45	8	=	=	PUNCT
ajst-20790	45	9	n	n	NOUN
ajst-20790	45	10	σi	σi	NOUN
ajst-20790	45	11	=	=	SYM
ajst-20790	45	12	1	1	NUM
ajst-20790	45	13	(	(	PUNCT
ajst-20790	45	14	(	(	PUNCT
ajst-20790	45	15	f	f	PROPN
ajst-20790	45	16	xi	xi	PROPN
ajst-20790	45	17	)	)	PUNCT
ajst-20790	45	18	-yi	-yi	NOUN
ajst-20790	45	19	)	)	PUNCT
ajst-20790	45	20	2	2	NUM
ajst-20790	45	21	from	from	ADP
ajst-20790	45	22	each	each	DET
ajst-20790	45	23	observed	observe	VERB
ajst-20790	45	24	data	datum	NOUN
ajst-20790	45	25	point	point	NOUN
ajst-20790	45	26	i	i	PRON
ajst-20790	45	27	yi	yi	VERB
ajst-20790	45	28	respectively	respectively	ADV
ajst-20790	45	29	.	.	PUNCT
ajst-20790	46	1	that	that	PRON
ajst-20790	46	2	is	is	ADV
ajst-20790	46	3	,	,	PUNCT
ajst-20790	46	4	the	the	DET
ajst-20790	46	5	data	data	NOUN
ajst-20790	46	6	point	point	NOUN
ajst-20790	46	7	(	(	PUNCT
ajst-20790	46	8	xi	xi	PROPN
ajst-20790	46	9	,	,	PUNCT
ajst-20790	46	10	y	y	PROPN
ajst-20790	46	11	)	)	PUNCT
ajst-20790	46	12	is	be	AUX
ajst-20790	46	13	required	require	VERB
ajst-20790	46	14	to	to	PART
ajst-20790	46	15	coincide	coincide	VERB
ajst-20790	46	16	with	with	ADP
ajst-20790	46	17	the	the	DET
ajst-20790	46	18	predicted	predict	VERB
ajst-20790	46	19	data	data	NOUN
ajst-20790	46	20	point	point	NOUN
ajst-20790	46	21	i	i	PRON
ajst-20790	46	22	(	(	PUNCT
ajst-20790	46	23	xi	xi	PROPN
ajst-20790	46	24	,	,	PUNCT
ajst-20790	46	25	(	(	PUNCT
ajst-20790	46	26	f	f	NOUN
ajst-20790	46	27	x	x	PROPN
ajst-20790	46	28	)	)	PUNCT
ajst-20790	46	29	)	)	PUNCT
ajst-20790	46	30	,	,	PUNCT
ajst-20790	46	31	which	which	PRON
ajst-20790	46	32	is	be	AUX
ajst-20790	46	33	also	also	ADV
ajst-20790	46	34	called	call	VERB
ajst-20790	46	35	data	datum	NOUN
ajst-20790	46	36	fitting	fitting	ADJ
ajst-20790	46	37	method	method	NOUN
ajst-20790	46	38	.	.	PUNCT
ajst-20790	47	1	here	here	ADV
ajst-20790	47	2	we	we	PRON
ajst-20790	47	3	choose	choose	VERB
ajst-20790	47	4	the	the	DET
ajst-20790	47	5	polynomial	polynomial	ADJ
ajst-20790	47	6	fitting	fitting	ADJ
ajst-20790	47	7	method	method	NOUN
ajst-20790	47	8	to	to	PART
ajst-20790	47	9	fit	fit	VERB
ajst-20790	47	10	the	the	DET
ajst-20790	47	11	experimental	experimental	ADJ
ajst-20790	47	12	data	datum	NOUN
ajst-20790	47	13	.	.	PUNCT
ajst-20790	48	1	let	let	VERB
ajst-20790	48	2	(	(	PUNCT
ajst-20790	48	3	f	f	NOUN
ajst-20790	48	4	x	x	X
ajst-20790	48	5	)	)	PUNCT
ajst-20790	48	6	=	=	SYM
ajst-20790	48	7	a0+a1x+a2x2	a0+a1x+a2x2	X
ajst-20790	48	8	+	+	ADJ
ajst-20790	48	9	...	...	PUNCT
ajst-20790	49	1	+	+	ADJ
ajst-20790	49	2	amxm	amxm	ADJ
ajst-20790	49	3	.	.	PUNCT
ajst-20790	50	1	for	for	ADP
ajst-20790	50	2	the	the	DET
ajst-20790	50	3	selection	selection	NOUN
ajst-20790	50	4	of	of	ADP
ajst-20790	50	5	fitting	fitting	ADJ
ajst-20790	50	6	frequency	frequency	NOUN
ajst-20790	50	7	m	m	NOUN
ajst-20790	50	8	,	,	PUNCT
ajst-20790	50	9	the	the	DET
ajst-20790	50	10	best	well	ADV
ajst-20790	50	11	fitting	fitting	ADJ
ajst-20790	50	12	effect	effect	NOUN
ajst-20790	50	13	is	be	AUX
ajst-20790	50	14	when	when	SCONJ
ajst-20790	50	15	the	the	DET
ajst-20790	50	16	error	error	NOUN
ajst-20790	50	17	between	between	ADP
ajst-20790	50	18	the	the	DET
ajst-20790	50	19	fitting	fitting	ADJ
ajst-20790	50	20	result	result	NOUN
ajst-20790	50	21	and	and	CCONJ
ajst-20790	50	22	the	the	DET
ajst-20790	50	23	experimental	experimental	ADJ
ajst-20790	50	24	data	datum	NOUN
ajst-20790	50	25	is	be	AUX
ajst-20790	50	26	minimal	minimal	ADJ
ajst-20790	50	27	.	.	PUNCT
ajst-20790	51	1	with	with	ADP
ajst-20790	51	2	the	the	DET
ajst-20790	51	3	help	help	NOUN
ajst-20790	51	4	of	of	ADP
ajst-20790	51	5	the	the	DET
ajst-20790	51	6	principle	principle	NOUN
ajst-20790	51	7	of	of	ADP
ajst-20790	51	8	least	least	ADJ
ajst-20790	51	9	square	square	ADJ
ajst-20790	51	10	method	method	NOUN
ajst-20790	51	11	and	and	CCONJ
ajst-20790	51	12	matlab	matlab	PROPN
ajst-20790	51	13	programming	programming	NOUN
ajst-20790	51	14	,	,	PUNCT
ajst-20790	51	15	the	the	DET
ajst-20790	51	16	selection	selection	NOUN
ajst-20790	51	17	of	of	ADP
ajst-20790	51	18	fitting	fitting	ADJ
ajst-20790	51	19	times	time	NOUN
ajst-20790	51	20	m	m	VERB
ajst-20790	51	21	is	be	AUX
ajst-20790	51	22	realized	realize	VERB
ajst-20790	51	23	.	.	PUNCT
ajst-20790	52	1	achieve	achieve	VERB
ajst-20790	52	2	population	population	NOUN
ajst-20790	52	3	projections	projection	NOUN
ajst-20790	52	4	.	.	PUNCT
ajst-20790	53	1	5.2	5.2	NUM
ajst-20790	53	2	.	.	PUNCT
ajst-20790	53	3	interpolation	interpolation	NOUN
ajst-20790	53	4	model	model	NOUN
ajst-20790	53	5	interpolation	interpolation	NOUN
ajst-20790	53	6	is	be	AUX
ajst-20790	53	7	based	base	VERB
ajst-20790	53	8	on	on	ADP
ajst-20790	53	9	the	the	DET
ajst-20790	53	10	known	know	VERB
ajst-20790	53	11	data	data	NOUN
ajst-20790	53	12	points	point	NOUN
ajst-20790	53	13	(	(	PUNCT
ajst-20790	53	14	xi	xi	PROPN
ajst-20790	53	15	,	,	PUNCT
ajst-20790	53	16	y	y	PROPN
ajst-20790	53	17	)	)	PUNCT
ajst-20790	53	18	,	,	PUNCT
ajst-20790	53	19	i	i	PRON
ajst-20790	53	20	i=	i=	VERB
ajst-20790	53	21	1,2	1,2	NUM
ajst-20790	53	22	,	,	PUNCT
ajst-20790	53	23	...	...	PUNCT
ajst-20790	53	24	n	n	CCONJ
ajst-20790	53	25	,	,	PUNCT
ajst-20790	53	26	find	find	VERB
ajst-20790	53	27	a	a	DET
ajst-20790	53	28	function	function	NOUN
ajst-20790	53	29	(	(	PUNCT
ajst-20790	53	30	f	f	NOUN
ajst-20790	53	31	x	x	NOUN
ajst-20790	53	32	)	)	PUNCT
ajst-20790	53	33	such	such	ADJ
ajst-20790	53	34	that	that	SCONJ
ajst-20790	53	35	the	the	DET
ajst-20790	53	36	function	function	NOUN
ajst-20790	53	37	(	(	PUNCT
ajst-20790	53	38	f	f	NOUN
ajst-20790	53	39	x	x	X
ajst-20790	53	40	)	)	PUNCT
ajst-20790	53	41	has	have	VERB
ajst-20790	53	42	i	i	PRON
ajst-20790	53	43	(	(	PUNCT
ajst-20790	54	1	f	f	NOUN
ajst-20790	54	2	x	x	X
ajst-20790	54	3	)	)	PUNCT
ajst-20790	54	4	i	i	PRON
ajst-20790	54	5	=	=	NOUN
ajst-20790	54	6	yi	yi	PROPN
ajst-20790	54	7	at	at	ADP
ajst-20790	54	8	a	a	DET
ajst-20790	54	9	known	know	VERB
ajst-20790	54	10	data	data	NOUN
ajst-20790	54	11	point	point	NOUN
ajst-20790	54	12	(	(	PUNCT
ajst-20790	54	13	xi	xi	PROPN
ajst-20790	54	14	,	,	PUNCT
ajst-20790	54	15	y	y	NOUN
ajst-20790	54	16	)	)	PUNCT
ajst-20790	54	17	to	to	PART
ajst-20790	54	18	predict	predict	VERB
ajst-20790	54	19	the	the	DET
ajst-20790	54	20	function	function	NOUN
ajst-20790	54	21	value	value	NOUN
ajst-20790	54	22	yi	yi	NOUN
ajst-20790	54	23	at	at	ADP
ajst-20790	54	24	an	an	DET
ajst-20790	54	25	unknown	unknown	ADJ
ajst-20790	54	26	point	point	NOUN
ajst-20790	54	27	xi	xi	INTJ
ajst-20790	54	28	.	.	PUNCT
ajst-20790	55	1	here	here	ADV
ajst-20790	55	2	we	we	PRON
ajst-20790	55	3	choose	choose	VERB
ajst-20790	55	4	polynomial	polynomial	ADJ
ajst-20790	55	5	interpolation	interpolation	NOUN
ajst-20790	55	6	to	to	PART
ajst-20790	55	7	give	give	VERB
ajst-20790	55	8	the	the	DET
ajst-20790	55	9	value	value	NOUN
ajst-20790	55	10	of	of	ADP
ajst-20790	55	11	the	the	DET
ajst-20790	55	12	prediction	prediction	NOUN
ajst-20790	55	13	function	function	NOUN
ajst-20790	55	14	at	at	ADP
ajst-20790	55	15	the	the	DET
ajst-20790	55	16	unknown	unknown	ADJ
ajst-20790	55	17	point	point	NOUN
ajst-20790	55	18	.	.	PUNCT
ajst-20790	56	1	that	that	PRON
ajst-20790	56	2	is	be	AUX
ajst-20790	56	3	,	,	PUNCT
ajst-20790	56	4	find	find	VERB
ajst-20790	56	5	a	a	DET
ajst-20790	56	6	polynomial	polynomial	NOUN
ajst-20790	56	7	of	of	ADP
ajst-20790	56	8	degree	degree	NOUN
ajst-20790	57	1	n	n	PRON
ajst-20790	57	2	p	p	X
ajst-20790	57	3	(	(	PUNCT
ajst-20790	57	4	n	n	NOUN
ajst-20790	57	5	x	x	NOUN
ajst-20790	57	6	)	)	PUNCT
ajst-20790	58	1	=	=	NOUN
ajst-20790	58	2	a0+a1x+a2x2	a0+a1x+a2x2	X
ajst-20790	58	3	+	+	NOUN
ajst-20790	58	4	...	...	PUNCT
ajst-20790	59	1	+	+	ADJ
ajst-20790	59	2	anx	anx	ADJ
ajst-20790	59	3	(	(	PUNCT
ajst-20790	59	4	the	the	DET
ajst-20790	59	5	number	number	NOUN
ajst-20790	59	6	n	n	NOUN
ajst-20790	59	7	n+1	n+1	PROPN
ajst-20790	59	8	determines	determine	VERB
ajst-20790	59	9	a	a	DET
ajst-20790	59	10	polynomial	polynomial	NOUN
ajst-20790	59	11	of	of	ADP
ajst-20790	59	12	degree	degree	NOUN
ajst-20790	59	13	n	n	CCONJ
ajst-20790	59	14	)	)	PUNCT
ajst-20790	59	15	such	such	ADJ
ajst-20790	59	16	that	that	SCONJ
ajst-20790	59	17	the	the	DET
ajst-20790	59	18	polynomial	polynomial	ADJ
ajst-20790	59	19	p	p	X
ajst-20790	59	20	(	(	PUNCT
ajst-20790	59	21	nx	nx	NOUN
ajst-20790	59	22	)	)	PUNCT
ajst-20790	59	23	satisfies	satisfy	VERB
ajst-20790	59	24	the	the	DET
ajst-20790	59	25	condition	condition	NOUN
ajst-20790	59	26	pn	pn	X
ajst-20790	59	27	(	(	PUNCT
ajst-20790	59	28	x	x	NOUN
ajst-20790	59	29	)	)	PUNCT
ajst-20790	59	30	i=	i=	PROPN
ajst-20790	59	31	yi	yi	PROPN
ajst-20790	59	32	,	,	PUNCT
ajst-20790	59	33	i=	i=	PROPN
ajst-20790	59	34	0,1	0,1	NUM
ajst-20790	59	35	,	,	PUNCT
ajst-20790	59	36	...	...	PUNCT
ajst-20790	59	37	,	,	PUNCT
ajst-20790	59	38	n.	n.	NOUN
ajst-20790	59	39	in	in	ADP
ajst-20790	59	40	general	general	ADJ
ajst-20790	59	41	,	,	PUNCT
ajst-20790	59	42	when	when	SCONJ
ajst-20790	59	43	there	there	PRON
ajst-20790	59	44	are	be	VERB
ajst-20790	59	45	fewer	few	ADJ
ajst-20790	59	46	interpolation	interpolation	NOUN
ajst-20790	59	47	nodes	node	NOUN
ajst-20790	59	48	,	,	PUNCT
ajst-20790	59	49	the	the	DET
ajst-20790	59	50	interpolation	interpolation	NOUN
ajst-20790	59	51	interval	interval	NOUN
ajst-20790	60	1	[	[	X
ajst-20790	60	2	min	min	X
ajst-20790	60	3	{	{	PUNCT
ajst-20790	60	4	xi	xi	PROPN
ajst-20790	60	5	}	}	PUNCT
ajst-20790	60	6	,	,	PUNCT
ajst-20790	60	7	max{xi	max{xi	NOUN
ajst-20790	60	8	}	}	PUNCT
ajst-20790	60	9	is	be	AUX
ajst-20790	60	10	small	small	ADJ
ajst-20790	60	11	,	,	PUNCT
ajst-20790	60	12	and	and	CCONJ
ajst-20790	60	13	the	the	DET
ajst-20790	60	14	unknown	unknown	ADJ
ajst-20790	60	15	point	point	NOUN
ajst-20790	60	16	xi	xi	INTJ
ajst-20790	60	17	belongs	belong	VERB
ajst-20790	60	18	to	to	ADP
ajst-20790	60	19	the	the	DET
ajst-20790	60	20	inside	inside	NOUN
ajst-20790	60	21	of	of	ADP
ajst-20790	60	22	the	the	DET
ajst-20790	60	23	interpolation	interpolation	NOUN
ajst-20790	60	24	interval	interval	NOUN
ajst-20790	60	25	,	,	PUNCT
ajst-20790	60	26	the	the	DET
ajst-20790	60	27	predicted	predict	VERB
ajst-20790	60	28	value	value	NOUN
ajst-20790	60	29	is	be	AUX
ajst-20790	60	30	relatively	relatively	ADV
ajst-20790	60	31	accurate	accurate	ADJ
ajst-20790	60	32	;	;	PUNCT
ajst-20790	60	33	when	when	SCONJ
ajst-20790	60	34	the	the	DET
ajst-20790	60	35	unknown	unknown	ADJ
ajst-20790	60	36	point	point	NOUN
ajst-20790	60	37	xi	xi	INTJ
ajst-20790	60	38	belongs	belong	VERB
ajst-20790	60	39	to	to	ADP
ajst-20790	60	40	the	the	DET
ajst-20790	60	41	outside	outside	NOUN
ajst-20790	60	42	of	of	ADP
ajst-20790	60	43	the	the	DET
ajst-20790	60	44	interpolation	interpolation	NOUN
ajst-20790	60	45	interval	interval	NOUN
ajst-20790	60	46	,	,	PUNCT
ajst-20790	60	47	it	it	PRON
ajst-20790	60	48	is	be	AUX
ajst-20790	60	49	difficult	difficult	ADJ
ajst-20790	60	50	to	to	PART
ajst-20790	60	51	ensure	ensure	VERB
ajst-20790	60	52	that	that	SCONJ
ajst-20790	60	53	a	a	DET
ajst-20790	60	54	certain	certain	ADJ
ajst-20790	60	55	precision	precision	NOUN
ajst-20790	60	56	can	can	AUX
ajst-20790	60	57	be	be	AUX
ajst-20790	60	58	achieved	achieve	VERB
ajst-20790	60	59	.	.	PUNCT
ajst-20790	61	1	in	in	ADP
ajst-20790	61	2	order	order	NOUN
ajst-20790	61	3	to	to	PART
ajst-20790	61	4	avoid	avoid	VERB
ajst-20790	61	5	these	these	DET
ajst-20790	61	6	problems	problem	NOUN
ajst-20790	61	7	,	,	PUNCT
ajst-20790	61	8	we	we	PRON
ajst-20790	61	9	can	can	AUX
ajst-20790	61	10	adopt	adopt	VERB
ajst-20790	61	11	the	the	DET
ajst-20790	61	12	segmented	segment	VERB
ajst-20790	61	13	interpolation	interpolation	NOUN
ajst-20790	61	14	method	method	NOUN
ajst-20790	61	15	.	.	PUNCT
ajst-20790	62	1	according	accord	VERB
ajst-20790	62	2	to	to	ADP
ajst-20790	62	3	the	the	DET
ajst-20790	62	4	above	above	ADJ
ajst-20790	62	5	method	method	NOUN
ajst-20790	62	6	and	and	CCONJ
ajst-20790	62	7	matlab	matlab	PROPN
ajst-20790	62	8	programming	programming	NOUN
ajst-20790	62	9	to	to	PART
ajst-20790	62	10	achieve	achieve	VERB
ajst-20790	62	11	the	the	DET
ajst-20790	62	12	population	population	NOUN
ajst-20790	62	13	prediction	prediction	NOUN
ajst-20790	62	14	.	.	PUNCT
ajst-20790	63	1	6	6	NUM
ajst-20790	63	2	.	.	X
ajst-20790	63	3	total	total	ADJ
ajst-20790	63	4	population	population	NOUN
ajst-20790	63	5	forecast	forecast	NOUN
ajst-20790	63	6	6.1	6.1	NUM
ajst-20790	63	7	.	.	PUNCT
ajst-20790	64	1	fitting	fitting	ADJ
ajst-20790	64	2	curve	curve	NOUN
ajst-20790	64	3	89	89	NUM
ajst-20790	64	4	figure	figure	NOUN
ajst-20790	64	5	1	1	NUM
ajst-20790	64	6	.	.	PUNCT
ajst-20790	65	1	the	the	DET
ajst-20790	65	2	simulation	simulation	NOUN
ajst-20790	65	3	was	be	AUX
ajst-20790	65	4	carried	carry	VERB
ajst-20790	65	5	out	out	ADP
ajst-20790	65	6	using	use	VERB
ajst-20790	65	7	the	the	DET
ajst-20790	65	8	fitting	fitting	ADJ
ajst-20790	65	9	method	method	NOUN
ajst-20790	65	10	6.2	6.2	NUM
ajst-20790	65	11	.	.	PUNCT
ajst-20790	66	1	interpolation	interpolation	NOUN
ajst-20790	66	2	curve	curve	NOUN
ajst-20790	66	3	figure	figure	NOUN
ajst-20790	66	4	2	2	NUM
ajst-20790	66	5	.	.	PUNCT
ajst-20790	67	1	the	the	DET
ajst-20790	67	2	method	method	NOUN
ajst-20790	67	3	of	of	ADP
ajst-20790	67	4	interpolation	interpolation	NOUN
ajst-20790	67	5	is	be	AUX
ajst-20790	67	6	used	use	VERB
ajst-20790	67	7	to	to	PART
ajst-20790	67	8	simulate	simulate	VERB
ajst-20790	67	9	.	.	PUNCT
ajst-20790	68	1	figure	figure	NOUN
ajst-20790	68	2	3	3	NUM
ajst-20790	68	3	.	.	PUNCT
ajst-20790	68	4	fit	fit	VERB
ajst-20790	68	5	the	the	DET
ajst-20790	68	6	model	model	NOUN
ajst-20790	68	7	data	data	NOUN
ajst-20790	68	8	graph	graph	NOUN
ajst-20790	68	9	figure	figure	NOUN
ajst-20790	68	10	4	4	NUM
ajst-20790	68	11	.	.	PUNCT
ajst-20790	69	1	use	use	VERB
ajst-20790	69	2	interpolation	interpolation	NOUN
ajst-20790	69	3	model	model	NOUN
ajst-20790	69	4	data	datum	NOUN
ajst-20790	69	5	graph	graph	NOUN
ajst-20790	69	6	7	7	NUM
ajst-20790	69	7	.	.	PUNCT
ajst-20790	70	1	the	the	DET
ajst-20790	70	2	birth	birth	NOUN
ajst-20790	70	3	rate	rate	NOUN
ajst-20790	70	4	prediction	prediction	NOUN
ajst-20790	70	5	(	(	PUNCT
ajst-20790	70	6	y	y	NOUN
ajst-20790	70	7	is	be	AUX
ajst-20790	70	8	the	the	DET
ajst-20790	70	9	birth	birth	NOUN
ajst-20790	70	10	rate	rate	NOUN
ajst-20790	70	11	)	)	PUNCT
ajst-20790	70	12	7.1	7.1	NUM
ajst-20790	70	13	.	.	PUNCT
ajst-20790	71	1	cubic	cubic	ADJ
ajst-20790	71	2	spline	spline	PROPN
ajst-20790	71	3	interpolation	interpolation	NOUN
ajst-20790	71	4	model	model	NOUN
ajst-20790	71	5	figure	figure	NOUN
ajst-20790	71	6	5	5	NUM
ajst-20790	71	7	.	.	PUNCT
ajst-20790	72	1	the	the	DET
ajst-20790	72	2	birth	birth	NOUN
ajst-20790	72	3	rate	rate	NOUN
ajst-20790	72	4	is	be	AUX
ajst-20790	72	5	simulated	simulate	VERB
ajst-20790	72	6	by	by	ADP
ajst-20790	72	7	cubic	cubic	ADJ
ajst-20790	72	8	spline	spline	PROPN
ajst-20790	72	9	interpolation	interpolation	NOUN
ajst-20790	72	10	7.2	7.2	NUM
ajst-20790	72	11	.	.	PUNCT
ajst-20790	73	1	least	least	ADJ
ajst-20790	73	2	square	square	ADJ
ajst-20790	73	3	fitting	fitting	ADJ
ajst-20790	73	4	model	model	NOUN
ajst-20790	73	5	figure	figure	NOUN
ajst-20790	73	6	6	6	NUM
ajst-20790	73	7	.	.	PUNCT
ajst-20790	74	1	the	the	DET
ajst-20790	74	2	least	least	ADJ
ajst-20790	74	3	square	square	ADJ
ajst-20790	74	4	method	method	NOUN
ajst-20790	74	5	is	be	AUX
ajst-20790	74	6	used	use	VERB
ajst-20790	74	7	to	to	PART
ajst-20790	74	8	simulate	simulate	VERB
ajst-20790	74	9	the	the	DET
ajst-20790	74	10	birth	birth	NOUN
ajst-20790	74	11	rate	rate	NOUN
ajst-20790	74	12	8	8	NUM
ajst-20790	74	13	.	.	PUNCT
ajst-20790	75	1	population	population	NOUN
ajst-20790	75	2	mortality	mortality	NOUN
ajst-20790	75	3	prediction	prediction	NOUN
ajst-20790	75	4	8.1	8.1	NUM
ajst-20790	75	5	.	.	PUNCT
ajst-20790	76	1	cubic	cubic	ADJ
ajst-20790	76	2	spline	spline	PROPN
ajst-20790	76	3	interpolation	interpolation	NOUN
ajst-20790	76	4	model	model	NOUN
ajst-20790	76	5	(	(	PUNCT
ajst-20790	76	6	y	y	PROPN
ajst-20790	76	7	is	be	AUX
ajst-20790	76	8	the	the	DET
ajst-20790	76	9	death	death	NOUN
ajst-20790	76	10	rate	rate	NOUN
ajst-20790	76	11	)	)	PUNCT
ajst-20790	76	12	figure	figure	NOUN
ajst-20790	76	13	7	7	NUM
ajst-20790	76	14	.	.	PUNCT
ajst-20790	77	1	the	the	DET
ajst-20790	77	2	population	population	NOUN
ajst-20790	77	3	mortality	mortality	NOUN
ajst-20790	77	4	rate	rate	NOUN
ajst-20790	77	5	was	be	AUX
ajst-20790	77	6	simulated	simulate	VERB
ajst-20790	77	7	using	use	VERB
ajst-20790	77	8	cubic	cubic	ADJ
ajst-20790	77	9	spline	spline	NOUN
ajst-20790	77	10	interpolation	interpolation	NOUN
ajst-20790	77	11	90	90	NUM
ajst-20790	77	12	8.2	8.2	NUM
ajst-20790	77	13	.	.	PUNCT
ajst-20790	78	1	least	least	ADJ
ajst-20790	78	2	square	square	ADJ
ajst-20790	78	3	fitting	fitting	ADJ
ajst-20790	78	4	model	model	NOUN
ajst-20790	78	5	figure	figure	NOUN
ajst-20790	78	6	8	8	NUM
ajst-20790	78	7	.	.	PUNCT
ajst-20790	79	1	the	the	DET
ajst-20790	79	2	least	least	ADJ
ajst-20790	79	3	square	square	ADJ
ajst-20790	79	4	method	method	NOUN
ajst-20790	79	5	was	be	AUX
ajst-20790	79	6	used	use	VERB
ajst-20790	79	7	to	to	PART
ajst-20790	79	8	simulate	simulate	VERB
ajst-20790	79	9	the	the	DET
ajst-20790	79	10	population	population	NOUN
ajst-20790	79	11	mortality	mortality	NOUN
ajst-20790	79	12	rate	rate	NOUN
ajst-20790	79	13	9	9	NUM
ajst-20790	79	14	.	.	PUNCT
ajst-20790	80	1	conclusion	conclusion	VERB
ajst-20790	80	2	the	the	DET
ajst-20790	80	3	prediction	prediction	NOUN
ajst-20790	80	4	of	of	ADP
ajst-20790	80	5	the	the	DET
ajst-20790	80	6	fitting	fitting	ADJ
ajst-20790	80	7	model	model	NOUN
ajst-20790	80	8	is	be	AUX
ajst-20790	80	9	more	more	ADV
ajst-20790	80	10	in	in	ADP
ajst-20790	80	11	line	line	NOUN
ajst-20790	80	12	with	with	ADP
ajst-20790	80	13	the	the	DET
ajst-20790	80	14	trend	trend	NOUN
ajst-20790	80	15	of	of	ADP
ajst-20790	80	16	population	population	NOUN
ajst-20790	80	17	development	development	NOUN
ajst-20790	80	18	.	.	PUNCT
ajst-20790	81	1	for	for	ADP
ajst-20790	81	2	the	the	DET
ajst-20790	81	3	data	datum	NOUN
ajst-20790	81	4	predicted	predict	VERB
ajst-20790	81	5	by	by	ADP
ajst-20790	81	6	the	the	DET
ajst-20790	81	7	interpolation	interpolation	NOUN
ajst-20790	81	8	method	method	NOUN
ajst-20790	81	9	,	,	PUNCT
ajst-20790	81	10	the	the	DET
ajst-20790	81	11	prediction	prediction	NOUN
ajst-20790	81	12	is	be	AUX
ajst-20790	81	13	more	more	ADV
ajst-20790	81	14	accurate	accurate	ADJ
ajst-20790	81	15	in	in	ADP
ajst-20790	81	16	a	a	DET
ajst-20790	81	17	short	short	ADJ
ajst-20790	81	18	period	period	NOUN
ajst-20790	81	19	of	of	ADP
ajst-20790	81	20	time	time	NOUN
ajst-20790	81	21	,	,	PUNCT
ajst-20790	81	22	but	but	CCONJ
ajst-20790	81	23	when	when	SCONJ
ajst-20790	81	24	the	the	DET
ajst-20790	81	25	prediction	prediction	NOUN
ajst-20790	81	26	time	time	NOUN
ajst-20790	81	27	is	be	AUX
ajst-20790	81	28	longer	long	ADJ
ajst-20790	81	29	,	,	PUNCT
ajst-20790	81	30	there	there	PRON
ajst-20790	81	31	will	will	AUX
ajst-20790	81	32	be	be	AUX
ajst-20790	81	33	a	a	DET
ajst-20790	81	34	large	large	ADJ
ajst-20790	81	35	deviation	deviation	NOUN
ajst-20790	81	36	.	.	PUNCT
ajst-20790	82	1	to	to	PART
ajst-20790	82	2	sum	sum	VERB
ajst-20790	82	3	up	up	ADP
ajst-20790	82	4	,	,	PUNCT
ajst-20790	82	5	both	both	CCONJ
ajst-20790	82	6	for	for	ADP
ajst-20790	82	7	population	population	NOUN
ajst-20790	82	8	prediction	prediction	NOUN
ajst-20790	82	9	model	model	NOUN
ajst-20790	82	10	has	have	AUX
ajst-20790	82	11	reached	reach	VERB
ajst-20790	82	12	the	the	DET
ajst-20790	82	13	useful	useful	ADJ
ajst-20790	82	14	effect	effect	NOUN
ajst-20790	82	15	,	,	PUNCT
ajst-20790	82	16	the	the	DET
ajst-20790	82	17	trend	trend	NOUN
ajst-20790	82	18	of	of	ADP
ajst-20790	82	19	the	the	DET
ajst-20790	82	20	simulated	simulate	VERB
ajst-20790	82	21	roughly	roughly	ADV
ajst-20790	82	22	the	the	DET
ajst-20790	82	23	same	same	ADJ
ajst-20790	82	24	comprehensive	comprehensive	ADJ
ajst-20790	82	25	above	above	ADP
ajst-20790	82	26	images	image	NOUN
ajst-20790	82	27	and	and	CCONJ
ajst-20790	82	28	related	related	ADJ
ajst-20790	82	29	data	datum	NOUN
ajst-20790	82	30	,	,	PUNCT
ajst-20790	82	31	can	can	AUX
ajst-20790	82	32	be	be	AUX
ajst-20790	82	33	concluded	conclude	VERB
ajst-20790	82	34	that	that	SCONJ
ajst-20790	82	35	the	the	DET
ajst-20790	82	36	future	future	ADJ
ajst-20790	82	37	population	population	NOUN
ajst-20790	82	38	growth	growth	NOUN
ajst-20790	82	39	trends	trend	NOUN
ajst-20790	82	40	of	of	ADP
ajst-20790	82	41	hunan	hunan	PROPN
ajst-20790	82	42	province	province	PROPN
ajst-20790	82	43	,	,	PUNCT
ajst-20790	82	44	the	the	DET
ajst-20790	82	45	population	population	NOUN
ajst-20790	82	46	increase	increase	NOUN
ajst-20790	82	47	will	will	AUX
ajst-20790	82	48	give	give	VERB
ajst-20790	82	49	a	a	DET
ajst-20790	82	50	variety	variety	NOUN
ajst-20790	82	51	of	of	ADP
ajst-20790	82	52	effects	effect	NOUN
ajst-20790	82	53	of	of	ADP
ajst-20790	82	54	hunan	hunan	PROPN
ajst-20790	82	55	province	province	PROPN
ajst-20790	82	56	.	.	PUNCT
ajst-20790	83	1	positive	positive	ADJ
ajst-20790	83	2	impact	impact	NOUN
ajst-20790	83	3	:	:	PUNCT
ajst-20790	83	4	population	population	NOUN
ajst-20790	83	5	growth	growth	NOUN
ajst-20790	83	6	means	mean	VERB
ajst-20790	83	7	that	that	SCONJ
ajst-20790	83	8	more	more	ADJ
ajst-20790	83	9	research	research	NOUN
ajst-20790	83	10	foundation	foundation	NOUN
ajst-20790	83	11	,	,	PUNCT
ajst-20790	83	12	to	to	PART
ajst-20790	83	13	promote	promote	VERB
ajst-20790	83	14	scientific	scientific	ADJ
ajst-20790	83	15	and	and	CCONJ
ajst-20790	83	16	technological	technological	ADJ
ajst-20790	83	17	breakthroughs	breakthrough	NOUN
ajst-20790	83	18	and	and	CCONJ
ajst-20790	83	19	innovation	innovation	NOUN
ajst-20790	83	20	of	of	ADP
ajst-20790	83	21	science	science	NOUN
ajst-20790	83	22	and	and	CCONJ
ajst-20790	83	23	technology	technology	NOUN
ajst-20790	83	24	.	.	PUNCT
ajst-20790	84	1	population	population	NOUN
ajst-20790	84	2	growth	growth	NOUN
ajst-20790	84	3	will	will	AUX
ajst-20790	84	4	expand	expand	VERB
ajst-20790	84	5	the	the	DET
ajst-20790	84	6	market	market	NOUN
ajst-20790	84	7	of	of	ADP
ajst-20790	84	8	hunan	hunan	PROPN
ajst-20790	84	9	province	province	PROPN
ajst-20790	84	10	,	,	PUNCT
ajst-20790	84	11	to	to	PART
ajst-20790	84	12	speed	speed	VERB
ajst-20790	84	13	up	up	ADP
ajst-20790	84	14	the	the	DET
ajst-20790	84	15	economic	economic	ADJ
ajst-20790	84	16	construction	construction	NOUN
ajst-20790	84	17	of	of	ADP
ajst-20790	84	18	hunan	hunan	PROPN
ajst-20790	84	19	province	province	PROPN
ajst-20790	84	20	,	,	PUNCT
ajst-20790	84	21	to	to	PART
ajst-20790	84	22	promote	promote	VERB
ajst-20790	84	23	rapid	rapid	ADJ
ajst-20790	84	24	economic	economic	ADJ
ajst-20790	84	25	development	development	NOUN
ajst-20790	84	26	.	.	PUNCT
ajst-20790	85	1	population	population	NOUN
ajst-20790	85	2	increase	increase	NOUN
ajst-20790	85	3	at	at	ADP
ajst-20790	85	4	the	the	DET
ajst-20790	85	5	same	same	ADJ
ajst-20790	85	6	time	time	NOUN
ajst-20790	85	7	will	will	AUX
ajst-20790	85	8	bring	bring	VERB
ajst-20790	85	9	in	in	ADP
ajst-20790	85	10	hunan	hunan	PROPN
ajst-20790	85	11	province	province	PROPN
ajst-20790	85	12	of	of	ADP
ajst-20790	85	13	resources	resource	NOUN
ajst-20790	85	14	will	will	AUX
ajst-20790	85	15	be	be	AUX
ajst-20790	85	16	more	more	ADJ
ajst-20790	85	17	,	,	PUNCT
ajst-20790	85	18	to	to	PART
ajst-20790	85	19	improve	improve	VERB
ajst-20790	85	20	the	the	DET
ajst-20790	85	21	level	level	NOUN
ajst-20790	85	22	of	of	ADP
ajst-20790	85	23	education	education	NOUN
ajst-20790	85	24	and	and	CCONJ
ajst-20790	85	25	scientific	scientific	ADJ
ajst-20790	85	26	research	research	NOUN
ajst-20790	85	27	quality	quality	NOUN
ajst-20790	85	28	.	.	PUNCT
ajst-20790	86	1	negative	negative	ADJ
ajst-20790	86	2	effects	effect	NOUN
ajst-20790	86	3	:	:	PUNCT
ajst-20790	86	4	the	the	DET
ajst-20790	86	5	population	population	NOUN
ajst-20790	86	6	means	mean	VERB
ajst-20790	86	7	that	that	SCONJ
ajst-20790	86	8	in	in	ADP
ajst-20790	86	9	hunan	hunan	PROPN
ajst-20790	86	10	life	life	NOUN
ajst-20790	86	11	will	will	AUX
ajst-20790	86	12	have	have	VERB
ajst-20790	86	13	greater	great	ADJ
ajst-20790	86	14	competitive	competitive	ADJ
ajst-20790	86	15	pressure	pressure	NOUN
ajst-20790	86	16	both	both	CCONJ
ajst-20790	86	17	academic	academic	ADJ
ajst-20790	86	18	and	and	CCONJ
ajst-20790	86	19	employment	employment	NOUN
ajst-20790	86	20	.	.	PUNCT
ajst-20790	87	1	population	population	NOUN
ajst-20790	87	2	increase	increase	NOUN
ajst-20790	87	3	can	can	AUX
ajst-20790	87	4	cause	cause	VERB
ajst-20790	87	5	further	further	ADJ
ajst-20790	87	6	deterioration	deterioration	NOUN
ajst-20790	87	7	in	in	ADP
ajst-20790	87	8	hunan	hunan	PROPN
ajst-20790	87	9	province	province	PROPN
ajst-20790	87	10	environment	environment	PROPN
ajst-20790	87	11	,	,	PUNCT
ajst-20790	87	12	air	air	NOUN
ajst-20790	87	13	pollution	pollution	NOUN
ajst-20790	87	14	,	,	PUNCT
ajst-20790	87	15	water	water	NOUN
ajst-20790	87	16	pollution	pollution	NOUN
ajst-20790	87	17	and	and	CCONJ
ajst-20790	87	18	so	so	ADV
ajst-20790	87	19	on	on	ADV
ajst-20790	87	20	.	.	PUNCT
ajst-20790	88	1	population	population	NOUN
ajst-20790	88	2	increase	increase	NOUN
ajst-20790	88	3	will	will	AUX
ajst-20790	88	4	cause	cause	VERB
ajst-20790	88	5	pressure	pressure	NOUN
ajst-20790	88	6	to	to	ADP
ajst-20790	88	7	the	the	DET
ajst-20790	88	8	resources	resource	NOUN
ajst-20790	88	9	and	and	CCONJ
ajst-20790	88	10	the	the	DET
ajst-20790	88	11	public	public	ADJ
ajst-20790	88	12	service	service	NOUN
ajst-20790	88	13	in	in	ADP
ajst-20790	88	14	hunan	hunan	PROPN
ajst-20790	88	15	province	province	PROPN
ajst-20790	88	16	,	,	PUNCT
ajst-20790	88	17	such	such	ADJ
ajst-20790	88	18	as	as	ADP
ajst-20790	88	19	transport	transport	NOUN
ajst-20790	88	20	,	,	PUNCT
ajst-20790	88	21	health	health	NOUN
ajst-20790	88	22	care	care	NOUN
ajst-20790	88	23	,	,	PUNCT
ajst-20790	88	24	housing	housing	NOUN
ajst-20790	88	25	,	,	PUNCT
ajst-20790	88	26	etc	etc	X
ajst-20790	88	27	.	.	X
ajst-20790	88	28	references	reference	NOUN
ajst-20790	88	29	[	[	X
ajst-20790	88	30	1	1	NUM
ajst-20790	88	31	]	]	X
ajst-20790	88	32	fu	fu	NOUN
ajst-20790	88	33	,	,	PUNCT
ajst-20790	88	34	y.	y.	PROPN
ajst-20790	88	35	(	(	PUNCT
ajst-20790	88	36	2010	2010	NUM
ajst-20790	88	37	)	)	PUNCT
ajst-20790	88	38	applied	apply	VERB
ajst-20790	88	39	research	research	NOUN
ajst-20790	88	40	based	base	VERB
ajst-20790	88	41	on	on	ADP
ajst-20790	88	42	the	the	DET
ajst-20790	88	43	matlab	matlab	PROPN
ajst-20790	88	44	curve	curve	NOUN
ajst-20790	88	45	fitting	fitting	ADJ
ajst-20790	88	46	.	.	PUNCT
ajst-20790	89	1	computer	computer	NOUN
ajst-20790	89	2	method	method	NOUN
ajst-20790	89	3	,	,	PUNCT
ajst-20790	89	4	56	56	NUM
ajst-20790	89	5	-	-	SYM
ajst-20790	89	6	58	58	NUM
ajst-20790	89	7	.	.	PUNCT
ajst-20790	90	1	[	[	X
ajst-20790	90	2	2	2	NUM
ajst-20790	90	3	]	]	SYM
ajst-20790	90	4	yi	yi	PROPN
ajst-20790	90	5	,	,	PUNCT
ajst-20790	90	6	l.	l.	PROPN
ajst-20790	90	7	(	(	PUNCT
ajst-20790	90	8	2008	2008	NUM
ajst-20790	90	9	)	)	PUNCT
ajst-20790	90	10	population	population	NOUN
ajst-20790	90	11	prediction	prediction	NOUN
ajst-20790	90	12	method	method	NOUN
ajst-20790	90	13	based	base	VERB
ajst-20790	90	14	on	on	ADP
ajst-20790	90	15	matlab	matlab	PROPN
ajst-20790	90	16	analysis	analysis	NOUN
ajst-20790	90	17	.	.	PUNCT
ajst-20790	91	1	population	population	NOUN
ajst-20790	91	2	forecast	forecast	NOUN
ajst-20790	91	3	,	,	PUNCT
ajst-20790	91	4	66	66	NUM
ajst-20790	91	5	-	-	SYM
ajst-20790	91	6	71	71	NUM
ajst-20790	92	1	[	[	X
ajst-20790	92	2	3	3	NUM
ajst-20790	92	3	]	]	X
ajst-20790	92	4	chen	chen	PROPN
ajst-20790	92	5	,	,	PUNCT
ajst-20790	92	6	x.	x.	PROPN
ajst-20790	92	7	,	,	PUNCT
ajst-20790	92	8	xiao	xiao	PROPN
ajst-20790	92	9	,	,	PUNCT
ajst-20790	92	10	l.	l.	PROPN
ajst-20790	92	11	(	(	PUNCT
ajst-20790	92	12	2020	2020	NUM
ajst-20790	92	13	)	)	PUNCT
ajst-20790	92	14	the	the	DET
ajst-20790	92	15	improvement	improvement	NOUN
ajst-20790	92	16	of	of	ADP
ajst-20790	92	17	logistic	logistic	ADJ
ajst-20790	92	18	model	model	NOUN
ajst-20790	92	19	with	with	ADP
ajst-20790	92	20	chinese	chinese	ADJ
ajst-20790	92	21	population	population	NOUN
ajst-20790	92	22	forecast	forecast	NOUN
ajst-20790	92	23	.	.	PUNCT
ajst-20790	93	1	population	population	NOUN
ajst-20790	93	2	forecast	forecast	NOUN
ajst-20790	93	3	,	,	PUNCT
ajst-20790	93	4	239243	239243	NUM
ajst-20790	93	5	.	.	PUNCT
ajst-20790	94	1	[	[	X
ajst-20790	94	2	4	4	NUM
ajst-20790	94	3	]	]	X
ajst-20790	94	4	allen	allen	PROPN
ajst-20790	94	5	,	,	PUNCT
ajst-20790	94	6	l.j	l.j	PROPN
ajst-20790	94	7	.	.	PROPN
ajst-20790	94	8	,	,	PUNCT
ajst-20790	94	9	allen	allen	PROPN
ajst-20790	94	10	,	,	PUNCT
ajst-20790	94	11	e.j	e.j	PROPN
ajst-20790	94	12	.	.	PROPN
ajst-20790	94	13	(	(	PUNCT
ajst-20790	94	14	2003	2003	NUM
ajst-20790	94	15	)	)	PUNCT
ajst-20790	94	16	a	a	DET
ajst-20790	94	17	comparison	comparison	NOUN
ajst-20790	94	18	of	of	ADP
ajst-20790	94	19	three	three	NUM
ajst-20790	94	20	different	different	ADJ
ajst-20790	94	21	stochastic	stochastic	ADJ
ajst-20790	94	22	population	population	NOUN
ajst-20790	94	23	models	model	NOUN
ajst-20790	94	24	with	with	ADP
ajst-20790	94	25	regard	regard	NOUN
ajst-20790	94	26	to	to	ADP
ajst-20790	94	27	persistence	persistence	NOUN
ajst-20790	94	28	time	time	NOUN
ajst-20790	94	29	.	.	PUNCT
ajst-20790	95	1	theor	theor	PROPN
ajst-20790	95	2	popul	popul	PROPN
ajst-20790	95	3	biol	biol	PROPN
ajst-20790	95	4	,	,	PUNCT
ajst-20790	95	5	64(4):439	64(4):439	NOUN
ajst-20790	95	6	-	-	PUNCT
ajst-20790	95	7	49	49	NUM
ajst-20790	95	8	.	.	PUNCT
ajst-20790	96	1	[	[	X
ajst-20790	96	2	5	5	NUM
ajst-20790	96	3	]	]	X
ajst-20790	96	4	wang	wang	PROPN
ajst-20790	96	5	,	,	PUNCT
ajst-20790	96	6	z.	z.	PROPN
ajst-20790	96	7	,	,	PUNCT
ajst-20790	96	8	dang	dang	PROPN
ajst-20790	96	9	,	,	PUNCT
ajst-20790	96	10	y.	y.	PROPN
ajst-20790	96	11	,	,	PUNCT
ajst-20790	96	12	wang	wang	PROPN
ajst-20790	96	13	,	,	PUNCT
ajst-20790	96	14	y.	y.	PROPN
ajst-20790	96	15	(	(	PUNCT
ajst-20790	96	16	2007	2007	NUM
ajst-20790	96	17	)	)	PUNCT
ajst-20790	96	18	a	a	DET
ajst-20790	96	19	new	new	ADJ
ajst-20790	96	20	grey	grey	NOUN
ajst-20790	96	21	verhulst	verhulst	NOUN
ajst-20790	96	22	model	model	NOUN
ajst-20790	96	23	and	and	CCONJ
ajst-20790	96	24	its	its	PRON
ajst-20790	96	25	application	application	NOUN
ajst-20790	96	26	.	.	PUNCT
ajst-20790	97	1	ieee	ieee	PROPN
ajst-20790	97	2	international	international	PROPN
ajst-20790	97	3	conference	conference	PROPN
ajst-20790	97	4	on	on	ADP
ajst-20790	97	5	grey	grey	PROPN
ajst-20790	97	6	systems	system	NOUN
ajst-20790	97	7	and	and	CCONJ
ajst-20790	97	8	intelligent	intelligent	ADJ
ajst-20790	97	9	services	service	NOUN
ajst-20790	97	10	,	,	PUNCT
ajst-20790	97	11	571	571	NUM
ajst-20790	97	12	-	-	SYM
ajst-20790	97	13	574	574	NUM
ajst-20790	97	14	[	[	SYM
ajst-20790	97	15	6	6	NUM
ajst-20790	97	16	]	]	PUNCT
ajst-20790	97	17	leslie	leslie	PROPN
ajst-20790	97	18	.	.	PUNCT
ajst-20790	98	1	(	(	PUNCT
ajst-20790	98	2	1945	1945	NUM
ajst-20790	98	3	)	)	PUNCT
ajst-20790	98	4	scenario	scenario	NOUN
ajst-20790	98	5	analysis	analysis	NOUN
ajst-20790	98	6	in	in	ADP
ajst-20790	98	7	population	population	NOUN
ajst-20790	98	8	projection	projection	NOUN
ajst-20790	98	9	.	.	PUNCT
ajst-20790	99	1	international	international	PROPN
ajst-20790	99	2	institute	institute	PROPN
ajst-20790	99	3	for	for	ADP
ajst-20790	99	4	applied	apply	VERB
ajst-20790	99	5	systems	system	NOUN
ajst-20790	99	6	analysis	analysis	NOUN
ajst-20790	99	7	,	,	PUNCT
ajst-20790	99	8	08:543545	08:543545	PRON
ajst-20790	99	9	.	.	PUNCT