id	sid	tid	token	lemma	pos
ajst-19199	1	1	academic	academic	ADJ
ajst-19199	1	2	journal	journal	NOUN
ajst-19199	1	3	of	of	ADP
ajst-19199	1	4	science	science	NOUN
ajst-19199	1	5	and	and	CCONJ
ajst-19199	1	6	technology	technology	NOUN
ajst-19199	1	7	issn	issn	NOUN
ajst-19199	1	8	:	:	PUNCT
ajst-19199	1	9	2771	2771	NUM
ajst-19199	1	10	-	-	SYM
ajst-19199	1	11	3032	3032	NUM
ajst-19199	1	12	|	|	NOUN
ajst-19199	1	13	vol	vol	NOUN
ajst-19199	1	14	.	.	PROPN
ajst-19199	2	1	10	10	NUM
ajst-19199	2	2	,	,	PUNCT
ajst-19199	2	3	no	no	INTJ
ajst-19199	2	4	.	.	NOUN
ajst-19199	2	5	1	1	NUM
ajst-19199	2	6	,	,	PUNCT
ajst-19199	2	7	2024	2024	NUM
ajst-19199	2	8	267	267	NUM
ajst-19199	2	9	a	a	DET
ajst-19199	2	10	review	review	NOUN
ajst-19199	2	11	of	of	ADP
ajst-19199	2	12	the	the	DET
ajst-19199	2	13	research	research	NOUN
ajst-19199	2	14	on	on	ADP
ajst-19199	2	15	tunnel	tunnel	NOUN
ajst-19199	2	16	lining	line	VERB
ajst-19199	2	17	voiding	void	VERB
ajst-19199	2	18	detection	detection	NOUN
ajst-19199	2	19	based	base	VERB
ajst-19199	2	20	on	on	ADP
ajst-19199	2	21	acoustic	acoustic	ADJ
ajst-19199	2	22	vibration	vibration	NOUN
ajst-19199	2	23	method	method	NOUN
ajst-19199	2	24	qingsong	qingsong	ADP
ajst-19199	2	25	dai1	dai1	PROPN
ajst-19199	2	26	,	,	PUNCT
ajst-19199	2	27	*	*	SYM
ajst-19199	2	28	1	1	NUM
ajst-19199	2	29	school	school	NOUN
ajst-19199	2	30	of	of	ADP
ajst-19199	2	31	computer	computer	NOUN
ajst-19199	2	32	science	science	NOUN
ajst-19199	2	33	and	and	CCONJ
ajst-19199	2	34	technology	technology	NOUN
ajst-19199	2	35	,	,	PUNCT
ajst-19199	2	36	henan	henan	PROPN
ajst-19199	2	37	polytechnic	polytechnic	PROPN
ajst-19199	2	38	university	university	PROPN
ajst-19199	2	39	,	,	PUNCT
ajst-19199	2	40	jiaozuo	jiaozuo	PROPN
ajst-19199	2	41	,	,	PUNCT
ajst-19199	2	42	china	china	PROPN
ajst-19199	2	43	*	*	PUNCT
ajst-19199	2	44	corresponding	correspond	VERB
ajst-19199	2	45	author	author	NOUN
ajst-19199	2	46	:	:	PUNCT
ajst-19199	2	47	qingsong	qingsong	PROPN
ajst-19199	2	48	dai	dai	PROPN
ajst-19199	2	49	(	(	PUNCT
ajst-19199	2	50	email	email	NOUN
ajst-19199	2	51	:	:	PUNCT
ajst-19199	2	52	daiqsong@163.com	daiqsong@163.com	ADJ
ajst-19199	2	53	)	)	PUNCT
ajst-19199	2	54	abstract	abstract	NOUN
ajst-19199	2	55	:	:	PUNCT
ajst-19199	2	56	in	in	ADP
ajst-19199	2	57	the	the	DET
ajst-19199	2	58	study	study	NOUN
ajst-19199	2	59	of	of	ADP
ajst-19199	2	60	nondestructive	nondestructive	ADJ
ajst-19199	2	61	testing	testing	NOUN
ajst-19199	2	62	technology	technology	NOUN
ajst-19199	2	63	for	for	ADP
ajst-19199	2	64	tunnel	tunnel	NOUN
ajst-19199	2	65	lining	lining	NOUN
ajst-19199	2	66	voiding	void	VERB
ajst-19199	2	67	detection	detection	NOUN
ajst-19199	2	68	,	,	PUNCT
ajst-19199	2	69	the	the	DET
ajst-19199	2	70	traditional	traditional	ADJ
ajst-19199	2	71	nondestructive	nondestructive	ADJ
ajst-19199	2	72	testing	testing	NOUN
ajst-19199	2	73	technology	technology	NOUN
ajst-19199	2	74	has	have	VERB
ajst-19199	2	75	many	many	ADJ
ajst-19199	2	76	drawbacks	drawback	NOUN
ajst-19199	2	77	such	such	ADJ
ajst-19199	2	78	as	as	ADP
ajst-19199	2	79	poor	poor	ADJ
ajst-19199	2	80	detection	detection	NOUN
ajst-19199	2	81	accuracy	accuracy	NOUN
ajst-19199	2	82	,	,	PUNCT
ajst-19199	2	83	high	high	ADJ
ajst-19199	2	84	subjectivity	subjectivity	NOUN
ajst-19199	2	85	,	,	PUNCT
ajst-19199	2	86	and	and	CCONJ
ajst-19199	2	87	easy	easy	ADJ
ajst-19199	2	88	to	to	PART
ajst-19199	2	89	be	be	AUX
ajst-19199	2	90	interfered	interfere	VERB
ajst-19199	2	91	with	with	ADP
ajst-19199	2	92	,	,	PUNCT
ajst-19199	2	93	etc	etc	X
ajst-19199	2	94	.	.	X
ajst-19199	2	95	,	,	PUNCT
ajst-19199	2	96	and	and	CCONJ
ajst-19199	2	97	the	the	DET
ajst-19199	2	98	combination	combination	NOUN
ajst-19199	2	99	of	of	ADP
ajst-19199	2	100	acoustic	acoustic	ADJ
ajst-19199	2	101	vibration	vibration	NOUN
ajst-19199	2	102	method	method	NOUN
ajst-19199	2	103	and	and	CCONJ
ajst-19199	2	104	deep	deep	ADJ
ajst-19199	2	105	learning	learning	NOUN
ajst-19199	2	106	technology	technology	NOUN
ajst-19199	2	107	has	have	VERB
ajst-19199	2	108	the	the	DET
ajst-19199	2	109	problems	problem	NOUN
ajst-19199	2	110	of	of	ADP
ajst-19199	2	111	uneven	uneven	ADJ
ajst-19199	2	112	distribution	distribution	NOUN
ajst-19199	2	113	of	of	ADP
ajst-19199	2	114	the	the	DET
ajst-19199	2	115	data	datum	NOUN
ajst-19199	2	116	set	set	VERB
ajst-19199	2	117	,	,	PUNCT
ajst-19199	2	118	poor	poor	ADJ
ajst-19199	2	119	interpretability	interpretability	NOUN
ajst-19199	2	120	,	,	PUNCT
ajst-19199	2	121	and	and	CCONJ
ajst-19199	2	122	other	other	ADJ
ajst-19199	2	123	problems	problem	NOUN
ajst-19199	2	124	that	that	PRON
ajst-19199	2	125	are	be	AUX
ajst-19199	2	126	difficult	difficult	ADJ
ajst-19199	2	127	to	to	PART
ajst-19199	2	128	be	be	AUX
ajst-19199	2	129	applied	apply	VERB
ajst-19199	2	130	to	to	ADP
ajst-19199	2	131	industrial	industrial	ADJ
ajst-19199	2	132	applications	application	NOUN
ajst-19199	2	133	,	,	PUNCT
ajst-19199	2	134	which	which	PRON
ajst-19199	2	135	summarizes	summarize	VERB
ajst-19199	2	136	the	the	DET
ajst-19199	2	137	current	current	ADJ
ajst-19199	2	138	acoustic	acoustic	ADJ
ajst-19199	2	139	vibration	vibration	NOUN
ajst-19199	2	140	testing	testing	NOUN
ajst-19199	2	141	technology	technology	NOUN
ajst-19199	2	142	and	and	CCONJ
ajst-19199	2	143	its	its	PRON
ajst-19199	2	144	application	application	NOUN
ajst-19199	2	145	to	to	ADP
ajst-19199	2	146	the	the	DET
ajst-19199	2	147	study	study	NOUN
ajst-19199	2	148	of	of	ADP
ajst-19199	2	149	tunnel	tunnel	NOUN
ajst-19199	2	150	lining	lining	NOUN
ajst-19199	2	151	voiding	voiding	NOUN
ajst-19199	2	152	.	.	PUNCT
ajst-19199	3	1	firstly	firstly	ADV
ajst-19199	3	2	,	,	PUNCT
ajst-19199	3	3	the	the	DET
ajst-19199	3	4	non	non	ADJ
ajst-19199	3	5	-	-	ADJ
ajst-19199	3	6	destructive	destructive	ADJ
ajst-19199	3	7	testing	testing	NOUN
ajst-19199	3	8	techniques	technique	NOUN
ajst-19199	3	9	used	use	VERB
ajst-19199	3	10	in	in	ADP
ajst-19199	3	11	the	the	DET
ajst-19199	3	12	current	current	ADJ
ajst-19199	3	13	tunnel	tunnel	NOUN
ajst-19199	3	14	lining	line	VERB
ajst-19199	3	15	voiding	void	VERB
ajst-19199	3	16	detection	detection	NOUN
ajst-19199	3	17	research	research	NOUN
ajst-19199	3	18	are	be	AUX
ajst-19199	3	19	sorted	sort	VERB
ajst-19199	3	20	out	out	ADV
ajst-19199	3	21	,	,	PUNCT
ajst-19199	3	22	and	and	CCONJ
ajst-19199	3	23	then	then	ADV
ajst-19199	3	24	a	a	DET
ajst-19199	3	25	variety	variety	NOUN
ajst-19199	3	26	of	of	ADP
ajst-19199	3	27	tunnel	tunnel	NOUN
ajst-19199	3	28	lining	line	VERB
ajst-19199	3	29	voiding	void	VERB
ajst-19199	3	30	detection	detection	NOUN
ajst-19199	3	31	research	research	NOUN
ajst-19199	3	32	methods	method	NOUN
ajst-19199	3	33	based	base	VERB
ajst-19199	3	34	on	on	ADP
ajst-19199	3	35	acoustic	acoustic	ADJ
ajst-19199	3	36	vibration	vibration	NOUN
ajst-19199	3	37	method	method	NOUN
ajst-19199	3	38	with	with	ADP
ajst-19199	3	39	potential	potential	ADJ
ajst-19199	3	40	applications	application	NOUN
ajst-19199	3	41	in	in	ADP
ajst-19199	3	42	the	the	DET
ajst-19199	3	43	industrial	industrial	ADJ
ajst-19199	3	44	field	field	NOUN
ajst-19199	3	45	are	be	AUX
ajst-19199	3	46	analyzed	analyze	VERB
ajst-19199	3	47	,	,	PUNCT
ajst-19199	3	48	followed	follow	VERB
ajst-19199	3	49	by	by	ADP
ajst-19199	3	50	an	an	DET
ajst-19199	3	51	overview	overview	NOUN
ajst-19199	3	52	of	of	ADP
ajst-19199	3	53	the	the	DET
ajst-19199	3	54	current	current	ADJ
ajst-19199	3	55	situation	situation	NOUN
ajst-19199	3	56	from	from	ADP
ajst-19199	3	57	the	the	DET
ajst-19199	3	58	point	point	NOUN
ajst-19199	3	59	of	of	ADP
ajst-19199	3	60	view	view	NOUN
ajst-19199	3	61	of	of	ADP
ajst-19199	3	62	deep	deep	ADJ
ajst-19199	3	63	learning	learning	NOUN
ajst-19199	3	64	combined	combine	VERB
ajst-19199	3	65	with	with	ADP
ajst-19199	3	66	the	the	DET
ajst-19199	3	67	acoustic	acoustic	ADJ
ajst-19199	3	68	vibration	vibration	NOUN
ajst-19199	3	69	method	method	NOUN
ajst-19199	3	70	for	for	ADP
ajst-19199	3	71	the	the	DET
ajst-19199	3	72	detection	detection	NOUN
ajst-19199	3	73	of	of	ADP
ajst-19199	3	74	tunnel	tunnel	NOUN
ajst-19199	3	75	lining	lining	NOUN
ajst-19199	3	76	voiding	voiding	NOUN
ajst-19199	3	77	,	,	PUNCT
ajst-19199	3	78	and	and	CCONJ
ajst-19199	3	79	then	then	ADV
ajst-19199	3	80	the	the	DET
ajst-19199	3	81	direction	direction	NOUN
ajst-19199	3	82	of	of	ADP
ajst-19199	3	83	the	the	DET
ajst-19199	3	84	next	next	ADJ
ajst-19199	3	85	step	step	NOUN
ajst-19199	3	86	of	of	ADP
ajst-19199	3	87	the	the	DET
ajst-19199	3	88	research	research	NOUN
ajst-19199	3	89	is	be	AUX
ajst-19199	3	90	discussed	discuss	VERB
ajst-19199	3	91	and	and	CCONJ
ajst-19199	3	92	analyzed	analyze	VERB
ajst-19199	3	93	.	.	PUNCT
ajst-19199	4	1	the	the	DET
ajst-19199	4	2	full	full	ADJ
ajst-19199	4	3	paper	paper	NOUN
ajst-19199	4	4	is	be	AUX
ajst-19199	4	5	summarized	summarize	VERB
ajst-19199	4	6	,	,	PUNCT
ajst-19199	4	7	and	and	CCONJ
ajst-19199	4	8	future	future	ADJ
ajst-19199	4	9	challenges	challenge	NOUN
ajst-19199	4	10	are	be	AUX
ajst-19199	4	11	pointed	point	VERB
ajst-19199	4	12	out	out	ADP
ajst-19199	4	13	.	.	PUNCT
ajst-19199	5	1	keywords	keyword	NOUN
ajst-19199	5	2	:	:	PUNCT
ajst-19199	5	3	tunnel	tunnel	VERB
ajst-19199	5	4	lining	lining	NOUN
ajst-19199	5	5	voiding	void	VERB
ajst-19199	5	6	detection	detection	NOUN
ajst-19199	5	7	,	,	PUNCT
ajst-19199	5	8	acoustic	acoustic	ADJ
ajst-19199	5	9	vibration	vibration	NOUN
ajst-19199	5	10	method	method	NOUN
ajst-19199	5	11	,	,	PUNCT
ajst-19199	5	12	deep	deep	ADJ
ajst-19199	5	13	learning	learning	NOUN
ajst-19199	5	14	.	.	PUNCT
ajst-19199	6	1	1	1	X
ajst-19199	6	2	.	.	X
ajst-19199	6	3	introduction	introduction	NOUN
ajst-19199	6	4	tunnel	tunnel	NOUN
ajst-19199	6	5	is	be	AUX
ajst-19199	6	6	an	an	DET
ajst-19199	6	7	engineering	engineering	NOUN
ajst-19199	6	8	structure	structure	NOUN
ajst-19199	6	9	built	build	VERB
ajst-19199	6	10	underground	underground	ADV
ajst-19199	6	11	,	,	PUNCT
ajst-19199	6	12	tunnel	tunnel	NOUN
ajst-19199	6	13	engineering	engineering	NOUN
ajst-19199	6	14	in	in	ADP
ajst-19199	6	15	the	the	DET
ajst-19199	6	16	construction	construction	NOUN
ajst-19199	6	17	of	of	ADP
ajst-19199	6	18	the	the	DET
ajst-19199	6	19	project	project	NOUN
ajst-19199	6	20	will	will	AUX
ajst-19199	6	21	often	often	ADV
ajst-19199	6	22	meet	meet	VERB
ajst-19199	6	23	the	the	DET
ajst-19199	6	24	complex	complex	ADJ
ajst-19199	6	25	geological	geological	ADJ
ajst-19199	6	26	conditions	condition	NOUN
ajst-19199	6	27	,	,	PUNCT
ajst-19199	6	28	the	the	DET
ajst-19199	6	29	construction	construction	NOUN
ajst-19199	6	30	of	of	ADP
ajst-19199	6	31	technical	technical	ADJ
ajst-19199	6	32	difficulties	difficulty	NOUN
ajst-19199	6	33	and	and	CCONJ
ajst-19199	6	34	other	other	ADJ
ajst-19199	6	35	issues	issue	NOUN
ajst-19199	6	36	,	,	PUNCT
ajst-19199	6	37	these	these	DET
ajst-19199	6	38	issues	issue	NOUN
ajst-19199	6	39	make	make	VERB
ajst-19199	6	40	the	the	DET
ajst-19199	6	41	tunnel	tunnel	NOUN
ajst-19199	6	42	project	project	NOUN
ajst-19199	6	43	has	have	VERB
ajst-19199	6	44	complexity	complexity	NOUN
ajst-19199	6	45	,	,	PUNCT
ajst-19199	6	46	hidden	hidden	ADJ
ajst-19199	6	47	and	and	CCONJ
ajst-19199	6	48	uncertainty	uncertainty	NOUN
ajst-19199	6	49	and	and	CCONJ
ajst-19199	6	50	other	other	ADJ
ajst-19199	6	51	characteristics	characteristic	NOUN
ajst-19199	6	52	.	.	PUNCT
ajst-19199	7	1	the	the	DET
ajst-19199	7	2	engineering	engineering	NOUN
ajst-19199	7	3	characteristics	characteristic	NOUN
ajst-19199	7	4	of	of	ADP
ajst-19199	7	5	tunnel	tunnel	NOUN
ajst-19199	7	6	projects	project	NOUN
ajst-19199	7	7	make	make	VERB
ajst-19199	7	8	it	it	PRON
ajst-19199	7	9	difficult	difficult	ADJ
ajst-19199	7	10	to	to	PART
ajst-19199	7	11	control	control	VERB
ajst-19199	7	12	the	the	DET
ajst-19199	7	13	quality	quality	NOUN
ajst-19199	7	14	of	of	ADP
ajst-19199	7	15	the	the	DET
ajst-19199	7	16	project	project	NOUN
ajst-19199	7	17	,	,	PUNCT
ajst-19199	7	18	and	and	CCONJ
ajst-19199	7	19	the	the	DET
ajst-19199	7	20	various	various	ADJ
ajst-19199	7	21	defects	defect	NOUN
ajst-19199	7	22	inside	inside	ADP
ajst-19199	7	23	the	the	DET
ajst-19199	7	24	tunnel	tunnel	NOUN
ajst-19199	7	25	are	be	AUX
ajst-19199	7	26	difficult	difficult	ADJ
ajst-19199	7	27	to	to	PART
ajst-19199	7	28	be	be	AUX
ajst-19199	7	29	detected	detect	VERB
ajst-19199	8	1	[	[	X
ajst-19199	8	2	1	1	NUM
ajst-19199	8	3	]	]	PUNCT
ajst-19199	8	4	.	.	PUNCT
ajst-19199	9	1	the	the	DET
ajst-19199	9	2	internal	internal	ADJ
ajst-19199	9	3	defects	defect	NOUN
ajst-19199	9	4	of	of	ADP
ajst-19199	9	5	the	the	DET
ajst-19199	9	6	structure	structure	NOUN
ajst-19199	9	7	continue	continue	VERB
ajst-19199	9	8	to	to	PART
ajst-19199	9	9	develop	develop	VERB
ajst-19199	9	10	in	in	ADP
ajst-19199	9	11	the	the	DET
ajst-19199	9	12	subsequent	subsequent	ADJ
ajst-19199	9	13	operation	operation	NOUN
ajst-19199	9	14	process	process	NOUN
ajst-19199	9	15	,	,	PUNCT
ajst-19199	9	16	and	and	CCONJ
ajst-19199	9	17	may	may	AUX
ajst-19199	9	18	produce	produce	VERB
ajst-19199	9	19	a	a	DET
ajst-19199	9	20	series	series	NOUN
ajst-19199	9	21	of	of	ADP
ajst-19199	9	22	diseases	disease	NOUN
ajst-19199	9	23	,	,	PUNCT
ajst-19199	9	24	such	such	ADJ
ajst-19199	9	25	as	as	ADP
ajst-19199	9	26	lining	line	VERB
ajst-19199	9	27	deformation	deformation	NOUN
ajst-19199	9	28	and	and	CCONJ
ajst-19199	9	29	cracks	crack	NOUN
ajst-19199	9	30	,	,	PUNCT
ajst-19199	9	31	structural	structural	ADJ
ajst-19199	9	32	water	water	NOUN
ajst-19199	9	33	seepage	seepage	NOUN
ajst-19199	9	34	,	,	PUNCT
ajst-19199	9	35	roadbed	roadbe	VERB
ajst-19199	9	36	damage	damage	NOUN
ajst-19199	9	37	,	,	PUNCT
ajst-19199	9	38	etc	etc	X
ajst-19199	9	39	.	.	X
ajst-19199	9	40	,	,	PUNCT
ajst-19199	9	41	which	which	PRON
ajst-19199	9	42	seriously	seriously	ADV
ajst-19199	9	43	threaten	threaten	VERB
ajst-19199	9	44	the	the	DET
ajst-19199	9	45	safety	safety	NOUN
ajst-19199	9	46	of	of	ADP
ajst-19199	9	47	traveling	travel	VERB
ajst-19199	9	48	inside	inside	ADP
ajst-19199	9	49	the	the	DET
ajst-19199	9	50	tunnel	tunnel	NOUN
ajst-19199	9	51	,	,	PUNCT
ajst-19199	9	52	shorten	shorten	VERB
ajst-19199	9	53	the	the	DET
ajst-19199	9	54	maintenance	maintenance	NOUN
ajst-19199	9	55	cycle	cycle	NOUN
ajst-19199	9	56	and	and	CCONJ
ajst-19199	9	57	service	service	NOUN
ajst-19199	9	58	life	life	NOUN
ajst-19199	9	59	of	of	ADP
ajst-19199	9	60	the	the	DET
ajst-19199	9	61	tunnel	tunnel	NOUN
ajst-19199	9	62	,	,	PUNCT
ajst-19199	9	63	and	and	CCONJ
ajst-19199	9	64	form	form	VERB
ajst-19199	9	65	a	a	DET
ajst-19199	9	66	safety	safety	NOUN
ajst-19199	9	67	hazard	hazard	NOUN
ajst-19199	9	68	and	and	CCONJ
ajst-19199	9	69	property	property	NOUN
ajst-19199	9	70	loss	loss	NOUN
ajst-19199	9	71	[	[	X
ajst-19199	9	72	2	2	NUM
ajst-19199	9	73	]	]	PUNCT
ajst-19199	9	74	.	.	PUNCT
ajst-19199	10	1	based	base	VERB
ajst-19199	10	2	on	on	ADP
ajst-19199	10	3	the	the	DET
ajst-19199	10	4	above	above	ADJ
ajst-19199	10	5	reasons	reason	NOUN
ajst-19199	10	6	,	,	PUNCT
ajst-19199	10	7	accurately	accurately	ADV
ajst-19199	10	8	identifying	identify	VERB
ajst-19199	10	9	the	the	DET
ajst-19199	10	10	location	location	NOUN
ajst-19199	10	11	of	of	ADP
ajst-19199	10	12	the	the	DET
ajst-19199	10	13	internal	internal	ADJ
ajst-19199	10	14	defects	defect	NOUN
ajst-19199	10	15	of	of	ADP
ajst-19199	10	16	tunnels	tunnel	NOUN
ajst-19199	10	17	is	be	AUX
ajst-19199	10	18	important	important	ADJ
ajst-19199	10	19	for	for	ADP
ajst-19199	10	20	the	the	DET
ajst-19199	10	21	stability	stability	NOUN
ajst-19199	10	22	of	of	ADP
ajst-19199	10	23	the	the	DET
ajst-19199	10	24	tunnel	tunnel	NOUN
ajst-19199	10	25	structure	structure	NOUN
ajst-19199	10	26	,	,	PUNCT
ajst-19199	10	27	safety	safety	NOUN
ajst-19199	10	28	of	of	ADP
ajst-19199	10	29	traveling	travel	VERB
ajst-19199	10	30	inside	inside	ADP
ajst-19199	10	31	the	the	DET
ajst-19199	10	32	tunnel	tunnel	NOUN
ajst-19199	10	33	as	as	ADV
ajst-19199	10	34	well	well	ADV
ajst-19199	10	35	as	as	ADP
ajst-19199	10	36	the	the	DET
ajst-19199	10	37	economy	economy	NOUN
ajst-19199	10	38	of	of	ADP
ajst-19199	10	39	tunnel	tunnel	NOUN
ajst-19199	10	40	maintenance	maintenance	NOUN
ajst-19199	10	41	and	and	CCONJ
ajst-19199	10	42	reinforcement	reinforcement	NOUN
ajst-19199	10	43	are	be	AUX
ajst-19199	10	44	crucial	crucial	ADJ
ajst-19199	10	45	[	[	X
ajst-19199	10	46	3	3	NUM
ajst-19199	10	47	]	]	PUNCT
ajst-19199	10	48	.	.	PUNCT
ajst-19199	11	1	the	the	DET
ajst-19199	11	2	lining	lining	NOUN
ajst-19199	11	3	is	be	AUX
ajst-19199	11	4	a	a	DET
ajst-19199	11	5	concrete	concrete	ADJ
ajst-19199	11	6	structure	structure	NOUN
ajst-19199	11	7	built	build	VERB
ajst-19199	11	8	on	on	ADP
ajst-19199	11	9	the	the	DET
ajst-19199	11	10	surface	surface	NOUN
ajst-19199	11	11	of	of	ADP
ajst-19199	11	12	the	the	DET
ajst-19199	11	13	tunnel	tunnel	NOUN
ajst-19199	11	14	body	body	NOUN
ajst-19199	11	15	,	,	PUNCT
ajst-19199	11	16	which	which	PRON
ajst-19199	11	17	is	be	AUX
ajst-19199	11	18	a	a	DET
ajst-19199	11	19	major	major	ADJ
ajst-19199	11	20	load	load	NOUN
ajst-19199	11	21	-	-	PUNCT
ajst-19199	11	22	bearing	bear	VERB
ajst-19199	11	23	structure	structure	NOUN
ajst-19199	11	24	of	of	ADP
ajst-19199	11	25	the	the	DET
ajst-19199	11	26	tunnel	tunnel	NOUN
ajst-19199	11	27	.	.	PUNCT
ajst-19199	12	1	the	the	DET
ajst-19199	12	2	strength	strength	NOUN
ajst-19199	12	3	and	and	CCONJ
ajst-19199	12	4	stability	stability	NOUN
ajst-19199	12	5	of	of	ADP
ajst-19199	12	6	the	the	DET
ajst-19199	12	7	lining	lining	NOUN
ajst-19199	12	8	structure	structure	NOUN
ajst-19199	12	9	affects	affect	VERB
ajst-19199	12	10	the	the	DET
ajst-19199	12	11	safety	safety	NOUN
ajst-19199	12	12	and	and	CCONJ
ajst-19199	12	13	durability	durability	NOUN
ajst-19199	12	14	of	of	ADP
ajst-19199	12	15	the	the	DET
ajst-19199	12	16	tunnel	tunnel	NOUN
ajst-19199	12	17	.	.	PUNCT
ajst-19199	13	1	due	due	ADP
ajst-19199	13	2	to	to	ADP
ajst-19199	13	3	the	the	DET
ajst-19199	13	4	hidden	hidden	ADJ
ajst-19199	13	5	nature	nature	NOUN
ajst-19199	13	6	of	of	ADP
ajst-19199	13	7	tunnel	tunnel	NOUN
ajst-19199	13	8	construction	construction	NOUN
ajst-19199	13	9	and	and	CCONJ
ajst-19199	13	10	the	the	DET
ajst-19199	13	11	complexity	complexity	NOUN
ajst-19199	13	12	of	of	ADP
ajst-19199	13	13	tunnel	tunnel	NOUN
ajst-19199	13	14	construction	construction	NOUN
ajst-19199	13	15	,	,	PUNCT
ajst-19199	13	16	many	many	ADJ
ajst-19199	13	17	quality	quality	NOUN
ajst-19199	13	18	problems	problem	NOUN
ajst-19199	13	19	and	and	CCONJ
ajst-19199	13	20	accidents	accident	NOUN
ajst-19199	13	21	still	still	ADV
ajst-19199	13	22	occur	occur	VERB
ajst-19199	13	23	in	in	ADP
ajst-19199	13	24	the	the	DET
ajst-19199	13	25	construction	construction	NOUN
ajst-19199	13	26	and	and	CCONJ
ajst-19199	13	27	operation	operation	NOUN
ajst-19199	13	28	of	of	ADP
ajst-19199	13	29	tunnel	tunnel	NOUN
ajst-19199	13	30	projects	project	NOUN
ajst-19199	13	31	.	.	PUNCT
ajst-19199	14	1	the	the	DET
ajst-19199	14	2	lining	lining	NOUN
ajst-19199	14	3	is	be	AUX
ajst-19199	14	4	subject	subject	ADJ
ajst-19199	14	5	to	to	ADP
ajst-19199	14	6	most	most	ADJ
ajst-19199	14	7	of	of	ADP
ajst-19199	14	8	the	the	DET
ajst-19199	14	9	loads	load	NOUN
ajst-19199	14	10	transmitted	transmit	VERB
ajst-19199	14	11	by	by	ADP
ajst-19199	14	12	the	the	DET
ajst-19199	14	13	surrounding	surround	VERB
ajst-19199	14	14	rock	rock	NOUN
ajst-19199	14	15	,	,	PUNCT
ajst-19199	14	16	and	and	CCONJ
ajst-19199	14	17	its	its	PRON
ajst-19199	14	18	pouring	pour	VERB
ajst-19199	14	19	quality	quality	NOUN
ajst-19199	14	20	is	be	AUX
ajst-19199	14	21	difficult	difficult	ADJ
ajst-19199	14	22	to	to	PART
ajst-19199	14	23	be	be	AUX
ajst-19199	14	24	guaranteed	guarantee	VERB
ajst-19199	14	25	in	in	ADP
ajst-19199	14	26	the	the	DET
ajst-19199	14	27	construction	construction	NOUN
ajst-19199	14	28	process	process	NOUN
ajst-19199	14	29	[	[	X
ajst-19199	14	30	4	4	NUM
ajst-19199	14	31	]	]	PUNCT
ajst-19199	14	32	.	.	PUNCT
ajst-19199	15	1	lining	line	VERB
ajst-19199	15	2	construction	construction	NOUN
ajst-19199	15	3	quality	quality	NOUN
ajst-19199	15	4	control	control	NOUN
ajst-19199	15	5	is	be	AUX
ajst-19199	15	6	not	not	PART
ajst-19199	15	7	in	in	ADP
ajst-19199	15	8	place	place	NOUN
ajst-19199	15	9	,	,	PUNCT
ajst-19199	15	10	it	it	PRON
ajst-19199	15	11	will	will	AUX
ajst-19199	15	12	lead	lead	VERB
ajst-19199	15	13	to	to	ADP
ajst-19199	15	14	lining	line	VERB
ajst-19199	15	15	structure	structure	NOUN
ajst-19199	15	16	to	to	PART
ajst-19199	15	17	appear	appear	VERB
ajst-19199	15	18	a	a	DET
ajst-19199	15	19	variety	variety	NOUN
ajst-19199	15	20	of	of	ADP
ajst-19199	15	21	diseases	disease	NOUN
ajst-19199	15	22	,	,	PUNCT
ajst-19199	15	23	thus	thus	ADV
ajst-19199	15	24	jeopardizing	jeopardize	VERB
ajst-19199	15	25	the	the	DET
ajst-19199	15	26	safety	safety	NOUN
ajst-19199	15	27	of	of	ADP
ajst-19199	15	28	the	the	DET
ajst-19199	15	29	structure	structure	NOUN
ajst-19199	15	30	,	,	PUNCT
ajst-19199	15	31	in	in	ADP
ajst-19199	15	32	the	the	DET
ajst-19199	15	33	tunnel	tunnel	NOUN
ajst-19199	15	34	of	of	ADP
ajst-19199	15	35	all	all	DET
ajst-19199	15	36	kinds	kind	NOUN
ajst-19199	15	37	of	of	ADP
ajst-19199	15	38	diseases	disease	NOUN
ajst-19199	15	39	,	,	PUNCT
ajst-19199	15	40	lining	lining	NOUN
ajst-19199	15	41	voiding	void	VERB
ajst-19199	15	42	is	be	AUX
ajst-19199	15	43	one	one	NUM
ajst-19199	15	44	of	of	ADP
ajst-19199	15	45	the	the	DET
ajst-19199	15	46	most	most	ADV
ajst-19199	15	47	important	important	ADJ
ajst-19199	15	48	factors	factor	NOUN
ajst-19199	15	49	affecting	affect	VERB
ajst-19199	15	50	the	the	DET
ajst-19199	15	51	safety	safety	NOUN
ajst-19199	15	52	of	of	ADP
ajst-19199	15	53	the	the	DET
ajst-19199	15	54	tunnel	tunnel	NOUN
ajst-19199	15	55	structure	structure	NOUN
ajst-19199	15	56	,	,	PUNCT
ajst-19199	15	57	but	but	CCONJ
ajst-19199	15	58	also	also	ADV
ajst-19199	15	59	one	one	NUM
ajst-19199	15	60	of	of	ADP
ajst-19199	15	61	the	the	DET
ajst-19199	15	62	highest	high	ADJ
ajst-19199	15	63	morbidity	morbidity	NOUN
ajst-19199	15	64	rate	rate	NOUN
ajst-19199	15	65	of	of	ADP
ajst-19199	15	66	the	the	DET
ajst-19199	15	67	disease	disease	NOUN
ajst-19199	15	68	,	,	PUNCT
ajst-19199	15	69	the	the	DET
ajst-19199	15	70	cavity	cavity	NOUN
ajst-19199	15	71	will	will	AUX
ajst-19199	15	72	make	make	VERB
ajst-19199	15	73	the	the	DET
ajst-19199	15	74	lining	line	VERB
ajst-19199	15	75	uneven	uneven	ADJ
ajst-19199	15	76	force	force	NOUN
ajst-19199	15	77	,	,	PUNCT
ajst-19199	15	78	bearing	bear	VERB
ajst-19199	15	79	capacity	capacity	NOUN
ajst-19199	15	80	reduction	reduction	NOUN
ajst-19199	15	81	and	and	CCONJ
ajst-19199	15	82	other	other	ADJ
ajst-19199	15	83	issues	issue	NOUN
ajst-19199	15	84	.	.	PUNCT
ajst-19199	16	1	in	in	ADP
ajst-19199	16	2	addition	addition	NOUN
ajst-19199	16	3	,	,	PUNCT
ajst-19199	16	4	the	the	DET
ajst-19199	16	5	existence	existence	NOUN
ajst-19199	16	6	of	of	ADP
ajst-19199	16	7	voids	void	NOUN
ajst-19199	16	8	often	often	ADV
ajst-19199	16	9	indirectly	indirectly	ADV
ajst-19199	16	10	leads	lead	VERB
ajst-19199	16	11	to	to	ADP
ajst-19199	16	12	other	other	ADJ
ajst-19199	16	13	diseases	disease	NOUN
ajst-19199	16	14	,	,	PUNCT
ajst-19199	16	15	such	such	ADJ
ajst-19199	16	16	as	as	ADP
ajst-19199	16	17	lining	line	VERB
ajst-19199	16	18	cracking	cracking	NOUN
ajst-19199	16	19	,	,	PUNCT
ajst-19199	16	20	tunnel	tunnel	NOUN
ajst-19199	16	21	water	water	NOUN
ajst-19199	16	22	seepage	seepage	NOUN
ajst-19199	16	23	and	and	CCONJ
ajst-19199	16	24	so	so	ADV
ajst-19199	16	25	on	on	ADV
ajst-19199	16	26	.	.	PUNCT
ajst-19199	17	1	the	the	DET
ajst-19199	17	2	traditional	traditional	ADJ
ajst-19199	17	3	method	method	NOUN
ajst-19199	17	4	of	of	ADP
ajst-19199	17	5	liner	liner	NOUN
ajst-19199	17	6	voiding	void	VERB
ajst-19199	17	7	detection	detection	NOUN
ajst-19199	17	8	is	be	AUX
ajst-19199	17	9	mainly	mainly	ADV
ajst-19199	17	10	the	the	DET
ajst-19199	17	11	core	core	NOUN
ajst-19199	17	12	drilling	drilling	NOUN
ajst-19199	17	13	method	method	NOUN
ajst-19199	17	14	.	.	PUNCT
ajst-19199	18	1	because	because	SCONJ
ajst-19199	18	2	tunnels	tunnel	NOUN
ajst-19199	18	3	are	be	AUX
ajst-19199	18	4	engineering	engineer	VERB
ajst-19199	18	5	structures	structure	NOUN
ajst-19199	18	6	built	build	VERB
ajst-19199	18	7	underground	underground	ADV
ajst-19199	18	8	,	,	PUNCT
ajst-19199	18	9	traditional	traditional	ADJ
ajst-19199	18	10	inspection	inspection	NOUN
ajst-19199	18	11	methods	method	NOUN
ajst-19199	18	12	are	be	AUX
ajst-19199	18	13	difficult	difficult	ADJ
ajst-19199	18	14	to	to	PART
ajst-19199	18	15	detect	detect	VERB
ajst-19199	18	16	the	the	DET
ajst-19199	18	17	internal	internal	ADJ
ajst-19199	18	18	condition	condition	NOUN
ajst-19199	18	19	of	of	ADP
ajst-19199	18	20	the	the	DET
ajst-19199	18	21	structure	structure	NOUN
ajst-19199	18	22	without	without	ADP
ajst-19199	18	23	damaging	damage	VERB
ajst-19199	18	24	the	the	DET
ajst-19199	18	25	lining	lining	NOUN
ajst-19199	18	26	structure	structure	NOUN
ajst-19199	18	27	due	due	ADP
ajst-19199	18	28	to	to	ADP
ajst-19199	18	29	technical	technical	ADJ
ajst-19199	18	30	limitations	limitation	NOUN
ajst-19199	18	31	[	[	X
ajst-19199	18	32	5	5	NUM
ajst-19199	18	33	]	]	PUNCT
ajst-19199	18	34	.	.	PUNCT
ajst-19199	19	1	the	the	DET
ajst-19199	19	2	core	core	NOUN
ajst-19199	19	3	drilling	drilling	NOUN
ajst-19199	19	4	method	method	NOUN
ajst-19199	19	5	is	be	AUX
ajst-19199	19	6	to	to	PART
ajst-19199	19	7	take	take	VERB
ajst-19199	19	8	core	core	NOUN
ajst-19199	19	9	samples	sample	NOUN
ajst-19199	19	10	from	from	ADP
ajst-19199	19	11	the	the	DET
ajst-19199	19	12	surface	surface	NOUN
ajst-19199	19	13	of	of	ADP
ajst-19199	19	14	the	the	DET
ajst-19199	19	15	lining	lining	NOUN
ajst-19199	19	16	without	without	ADP
ajst-19199	19	17	affecting	affect	VERB
ajst-19199	19	18	the	the	DET
ajst-19199	19	19	lining	lining	NOUN
ajst-19199	19	20	's	's	PART
ajst-19199	19	21	load	load	NOUN
ajst-19199	19	22	bearing	bear	VERB
ajst-19199	19	23	capacity	capacity	NOUN
ajst-19199	19	24	and	and	CCONJ
ajst-19199	19	25	observe	observe	VERB
ajst-19199	19	26	the	the	DET
ajst-19199	19	27	internal	internal	ADJ
ajst-19199	19	28	condition	condition	NOUN
ajst-19199	19	29	of	of	ADP
ajst-19199	19	30	the	the	DET
ajst-19199	19	31	lining	lining	NOUN
ajst-19199	19	32	through	through	ADP
ajst-19199	19	33	the	the	DET
ajst-19199	19	34	core	core	NOUN
ajst-19199	19	35	samples	sample	NOUN
ajst-19199	19	36	taken	take	VERB
ajst-19199	19	37	.	.	PUNCT
ajst-19199	20	1	the	the	DET
ajst-19199	20	2	advantage	advantage	NOUN
ajst-19199	20	3	of	of	ADP
ajst-19199	20	4	core	core	NOUN
ajst-19199	20	5	drilling	drilling	NOUN
ajst-19199	20	6	method	method	NOUN
ajst-19199	20	7	is	be	AUX
ajst-19199	20	8	that	that	SCONJ
ajst-19199	20	9	it	it	PRON
ajst-19199	20	10	can	can	AUX
ajst-19199	20	11	visualize	visualize	VERB
ajst-19199	20	12	and	and	CCONJ
ajst-19199	20	13	accurately	accurately	ADV
ajst-19199	20	14	observe	observe	VERB
ajst-19199	20	15	the	the	DET
ajst-19199	20	16	engineering	engineering	NOUN
ajst-19199	20	17	situation	situation	NOUN
ajst-19199	20	18	inside	inside	ADP
ajst-19199	20	19	the	the	DET
ajst-19199	20	20	lining	lining	NOUN
ajst-19199	20	21	,	,	PUNCT
ajst-19199	20	22	but	but	CCONJ
ajst-19199	20	23	the	the	DET
ajst-19199	20	24	disadvantages	disadvantage	NOUN
ajst-19199	20	25	of	of	ADP
ajst-19199	20	26	this	this	DET
ajst-19199	20	27	kind	kind	NOUN
ajst-19199	20	28	of	of	ADP
ajst-19199	20	29	destructive	destructive	ADJ
ajst-19199	20	30	testing	testing	NOUN
ajst-19199	20	31	method	method	NOUN
ajst-19199	20	32	are	be	AUX
ajst-19199	20	33	very	very	ADV
ajst-19199	20	34	obvious	obvious	ADJ
ajst-19199	20	35	,	,	PUNCT
ajst-19199	20	36	the	the	DET
ajst-19199	20	37	efficiency	efficiency	NOUN
ajst-19199	20	38	of	of	ADP
ajst-19199	20	39	this	this	DET
ajst-19199	20	40	method	method	NOUN
ajst-19199	20	41	is	be	AUX
ajst-19199	20	42	low	low	ADJ
ajst-19199	20	43	,	,	PUNCT
ajst-19199	20	44	the	the	DET
ajst-19199	20	45	chance	chance	NOUN
ajst-19199	20	46	is	be	AUX
ajst-19199	20	47	big	big	ADJ
ajst-19199	20	48	,	,	PUNCT
ajst-19199	20	49	the	the	DET
ajst-19199	20	50	representativeness	representativeness	NOUN
ajst-19199	20	51	is	be	AUX
ajst-19199	20	52	poor	poor	ADJ
ajst-19199	20	53	,	,	PUNCT
ajst-19199	20	54	due	due	ADP
ajst-19199	20	55	to	to	ADP
ajst-19199	20	56	the	the	DET
ajst-19199	20	57	need	need	NOUN
ajst-19199	20	58	to	to	PART
ajst-19199	20	59	drill	drill	VERB
ajst-19199	20	60	holes	hole	NOUN
ajst-19199	20	61	inside	inside	ADP
ajst-19199	20	62	the	the	DET
ajst-19199	20	63	lining	lining	NOUN
ajst-19199	20	64	structure	structure	NOUN
ajst-19199	20	65	,	,	PUNCT
ajst-19199	20	66	it	it	PRON
ajst-19199	20	67	ca	can	AUX
ajst-19199	20	68	n't	not	PART
ajst-19199	20	69	carry	carry	VERB
ajst-19199	20	70	out	out	ADP
ajst-19199	20	71	large	large	ADJ
ajst-19199	20	72	-	-	PUNCT
ajst-19199	20	73	scale	scale	NOUN
ajst-19199	20	74	comprehensive	comprehensive	ADJ
ajst-19199	20	75	testing	testing	NOUN
ajst-19199	20	76	,	,	PUNCT
ajst-19199	20	77	and	and	CCONJ
ajst-19199	20	78	the	the	DET
ajst-19199	20	79	repair	repair	NOUN
ajst-19199	20	80	work	work	NOUN
ajst-19199	20	81	in	in	ADP
ajst-19199	20	82	the	the	DET
ajst-19199	20	83	later	later	ADJ
ajst-19199	20	84	stage	stage	NOUN
ajst-19199	20	85	is	be	AUX
ajst-19199	20	86	also	also	ADV
ajst-19199	20	87	more	more	ADV
ajst-19199	20	88	complicated	complicated	ADJ
ajst-19199	20	89	.	.	PUNCT
ajst-19199	21	1	in	in	ADP
ajst-19199	21	2	addition	addition	NOUN
ajst-19199	21	3	,	,	PUNCT
ajst-19199	21	4	there	there	PRON
ajst-19199	21	5	is	be	VERB
ajst-19199	21	6	steel	steel	NOUN
ajst-19199	21	7	reinforcement	reinforcement	NOUN
ajst-19199	21	8	inside	inside	ADP
ajst-19199	21	9	the	the	DET
ajst-19199	21	10	lining	lining	NOUN
ajst-19199	21	11	structure	structure	NOUN
ajst-19199	21	12	,	,	PUNCT
ajst-19199	21	13	and	and	CCONJ
ajst-19199	21	14	the	the	DET
ajst-19199	21	15	location	location	NOUN
ajst-19199	21	16	and	and	CCONJ
ajst-19199	21	17	depth	depth	NOUN
ajst-19199	21	18	of	of	ADP
ajst-19199	21	19	the	the	DET
ajst-19199	21	20	drilling	drilling	NOUN
ajst-19199	21	21	hole	hole	NOUN
ajst-19199	21	22	need	need	VERB
ajst-19199	21	23	to	to	PART
ajst-19199	21	24	be	be	AUX
ajst-19199	21	25	determined	determine	VERB
ajst-19199	21	26	when	when	SCONJ
ajst-19199	21	27	core	core	ADJ
ajst-19199	21	28	drilling	drilling	NOUN
ajst-19199	21	29	and	and	CCONJ
ajst-19199	21	30	sampling	sampling	NOUN
ajst-19199	21	31	,	,	PUNCT
ajst-19199	21	32	in	in	ADP
ajst-19199	21	33	order	order	NOUN
ajst-19199	21	34	to	to	PART
ajst-19199	21	35	place	place	VERB
ajst-19199	21	36	the	the	DET
ajst-19199	21	37	steel	steel	NOUN
ajst-19199	21	38	reinforcement	reinforcement	NOUN
ajst-19199	21	39	that	that	PRON
ajst-19199	21	40	damages	damage	VERB
ajst-19199	21	41	the	the	DET
ajst-19199	21	42	internal	internal	ADJ
ajst-19199	21	43	structure	structure	NOUN
ajst-19199	22	1	[	[	X
ajst-19199	22	2	6	6	NUM
ajst-19199	22	3	]	]	PUNCT
ajst-19199	22	4	.	.	PUNCT
ajst-19199	23	1	in	in	ADP
ajst-19199	23	2	contrast	contrast	NOUN
ajst-19199	23	3	to	to	ADP
ajst-19199	23	4	this	this	DET
ajst-19199	23	5	kind	kind	NOUN
ajst-19199	23	6	of	of	ADP
ajst-19199	23	7	destructive	destructive	ADJ
ajst-19199	23	8	testing	testing	NOUN
ajst-19199	23	9	methods	method	NOUN
ajst-19199	23	10	,	,	PUNCT
ajst-19199	23	11	there	there	PRON
ajst-19199	23	12	are	be	VERB
ajst-19199	23	13	many	many	ADJ
ajst-19199	23	14	nondestructive	nondestructive	ADJ
ajst-19199	23	15	testing	testing	NOUN
ajst-19199	23	16	methods	method	NOUN
ajst-19199	23	17	.	.	PUNCT
ajst-19199	24	1	and	and	CCONJ
ajst-19199	24	2	according	accord	VERB
ajst-19199	24	3	to	to	ADP
ajst-19199	24	4	the	the	DET
ajst-19199	24	5	engineering	engineering	NOUN
ajst-19199	24	6	characteristics	characteristic	NOUN
ajst-19199	24	7	of	of	ADP
ajst-19199	24	8	tunnel	tunnel	NOUN
ajst-19199	24	9	engineering	engineering	NOUN
ajst-19199	24	10	,	,	PUNCT
ajst-19199	24	11	the	the	DET
ajst-19199	24	12	modern	modern	ADJ
ajst-19199	24	13	lining	lining	NOUN
ajst-19199	24	14	voiding	void	VERB
ajst-19199	24	15	detection	detection	NOUN
ajst-19199	24	16	methods	method	NOUN
ajst-19199	24	17	mainly	mainly	ADV
ajst-19199	24	18	use	use	VERB
ajst-19199	24	19	the	the	DET
ajst-19199	24	20	non	non	ADJ
ajst-19199	24	21	-	-	ADJ
ajst-19199	24	22	destructive	destructive	ADJ
ajst-19199	24	23	testing	testing	NOUN
ajst-19199	24	24	method	method	NOUN
ajst-19199	24	25	.	.	PUNCT
ajst-19199	25	1	commonly	commonly	ADV
ajst-19199	25	2	used	use	VERB
ajst-19199	25	3	non	non	ADJ
ajst-19199	25	4	-	-	ADJ
ajst-19199	25	5	destructive	destructive	ADJ
ajst-19199	25	6	testing	testing	NOUN
ajst-19199	25	7	methods	method	NOUN
ajst-19199	25	8	are	be	AUX
ajst-19199	25	9	mainly	mainly	ADV
ajst-19199	25	10	divided	divide	VERB
ajst-19199	25	11	into	into	ADP
ajst-19199	25	12	several	several	ADJ
ajst-19199	25	13	categories	category	NOUN
ajst-19199	25	14	,	,	PUNCT
ajst-19199	25	15	such	such	ADJ
ajst-19199	25	16	as	as	ADP
ajst-19199	25	17	geo	geo	PROPN
ajst-19199	25	18	-	-	PUNCT
ajst-19199	25	19	radar	radar	NOUN
ajst-19199	25	20	method	method	NOUN
ajst-19199	25	21	,	,	PUNCT
ajst-19199	25	22	ultrasonic	ultrasonic	ADJ
ajst-19199	25	23	detection	detection	NOUN
ajst-19199	25	24	method	method	NOUN
ajst-19199	25	25	,	,	PUNCT
ajst-19199	25	26	acoustic	acoustic	ADJ
ajst-19199	25	27	vibration	vibration	NOUN
ajst-19199	25	28	method	method	NOUN
ajst-19199	25	29	and	and	CCONJ
ajst-19199	25	30	so	so	ADV
ajst-19199	25	31	on	on	ADV
ajst-19199	25	32	.	.	PUNCT
ajst-19199	26	1	geo	geo	PROPN
ajst-19199	26	2	-	-	PUNCT
ajst-19199	26	3	radar	radar	NOUN
ajst-19199	26	4	method	method	NOUN
ajst-19199	26	5	is	be	AUX
ajst-19199	26	6	to	to	PART
ajst-19199	26	7	transmit	transmit	VERB
ajst-19199	26	8	electromagnetic	electromagnetic	ADJ
ajst-19199	26	9	pulse	pulse	NOUN
ajst-19199	26	10	to	to	ADP
ajst-19199	26	11	the	the	DET
ajst-19199	26	12	structure	structure	NOUN
ajst-19199	26	13	through	through	ADP
ajst-19199	26	14	the	the	DET
ajst-19199	26	15	transmitting	transmit	VERB
ajst-19199	26	16	antenna	antenna	NOUN
ajst-19199	26	17	on	on	ADP
ajst-19199	26	18	the	the	DET
ajst-19199	26	19	surface	surface	NOUN
ajst-19199	26	20	of	of	ADP
ajst-19199	26	21	the	the	DET
ajst-19199	26	22	north	north	NOUN
ajst-19199	26	23	side	side	NOUN
ajst-19199	26	24	of	of	ADP
ajst-19199	26	25	the	the	DET
ajst-19199	26	26	structure	structure	NOUN
ajst-19199	26	27	,	,	PUNCT
ajst-19199	26	28	and	and	CCONJ
ajst-19199	26	29	the	the	DET
ajst-19199	26	30	reflection	reflection	NOUN
ajst-19199	26	31	of	of	ADP
ajst-19199	26	32	the	the	DET
ajst-19199	26	33	electromagnetic	electromagnetic	ADJ
ajst-19199	26	34	wave	wave	NOUN
ajst-19199	26	35	in	in	ADP
ajst-19199	26	36	the	the	DET
ajst-19199	26	37	structure	structure	NOUN
ajst-19199	26	38	of	of	ADP
ajst-19199	26	39	different	different	ADJ
ajst-19199	26	40	media	medium	NOUN
ajst-19199	26	41	surface	surface	NOUN
ajst-19199	26	42	is	be	AUX
ajst-19199	26	43	transmitted	transmit	VERB
ajst-19199	26	44	back	back	ADV
ajst-19199	26	45	to	to	ADP
ajst-19199	26	46	the	the	DET
ajst-19199	26	47	receiving	receive	VERB
ajst-19199	26	48	antenna	antenna	NOUN
ajst-19199	26	49	,	,	PUNCT
ajst-19199	26	50	and	and	CCONJ
ajst-19199	26	51	268	268	NUM
ajst-19199	26	52	through	through	ADP
ajst-19199	26	53	the	the	DET
ajst-19199	26	54	dielectric	dielectric	ADJ
ajst-19199	26	55	constant	constant	NOUN
ajst-19199	26	56	of	of	ADP
ajst-19199	26	57	the	the	DET
ajst-19199	26	58	structure	structure	NOUN
ajst-19199	26	59	to	to	PART
ajst-19199	26	60	be	be	AUX
ajst-19199	26	61	tested	test	VERB
ajst-19199	26	62	and	and	CCONJ
ajst-19199	26	63	the	the	DET
ajst-19199	26	64	propagation	propagation	NOUN
ajst-19199	26	65	speed	speed	NOUN
ajst-19199	26	66	of	of	ADP
ajst-19199	26	67	the	the	DET
ajst-19199	26	68	electromagnetic	electromagnetic	ADJ
ajst-19199	26	69	wave	wave	NOUN
ajst-19199	26	70	in	in	ADP
ajst-19199	26	71	it	it	PRON
ajst-19199	26	72	,	,	PUNCT
ajst-19199	26	73	the	the	DET
ajst-19199	26	74	depth	depth	NOUN
ajst-19199	26	75	of	of	ADP
ajst-19199	26	76	the	the	DET
ajst-19199	26	77	different	different	ADJ
ajst-19199	26	78	reflective	reflective	ADJ
ajst-19199	26	79	media	medium	NOUN
ajst-19199	26	80	surface	surface	NOUN
ajst-19199	26	81	can	can	AUX
ajst-19199	26	82	be	be	AUX
ajst-19199	26	83	calculated	calculate	VERB
ajst-19199	26	84	,	,	PUNCT
ajst-19199	26	85	so	so	SCONJ
ajst-19199	26	86	as	as	SCONJ
ajst-19199	26	87	to	to	PART
ajst-19199	26	88	detect	detect	VERB
ajst-19199	26	89	all	all	DET
ajst-19199	26	90	kinds	kind	NOUN
ajst-19199	26	91	of	of	ADP
ajst-19199	26	92	defects	defect	NOUN
ajst-19199	26	93	in	in	ADP
ajst-19199	26	94	the	the	DET
ajst-19199	26	95	structure[7	structure[7	NOUN
ajst-19199	26	96	]	]	PUNCT
ajst-19199	26	97	.	.	PUNCT
ajst-19199	27	1	however	however	ADV
ajst-19199	27	2	,	,	PUNCT
ajst-19199	27	3	the	the	DET
ajst-19199	27	4	geo	geo	PROPN
ajst-19199	27	5	-	-	PUNCT
ajst-19199	27	6	radar	radar	NOUN
ajst-19199	27	7	method	method	NOUN
ajst-19199	27	8	has	have	VERB
ajst-19199	27	9	some	some	DET
ajst-19199	27	10	limitations	limitation	NOUN
ajst-19199	27	11	,	,	PUNCT
ajst-19199	27	12	that	that	ADV
ajst-19199	27	13	is	is	ADV
ajst-19199	27	14	,	,	PUNCT
ajst-19199	27	15	when	when	SCONJ
ajst-19199	27	16	water	water	NOUN
ajst-19199	27	17	is	be	AUX
ajst-19199	27	18	present	present	ADJ
ajst-19199	27	19	inside	inside	ADP
ajst-19199	27	20	the	the	DET
ajst-19199	27	21	structure	structure	NOUN
ajst-19199	27	22	,	,	PUNCT
ajst-19199	27	23	the	the	DET
ajst-19199	27	24	variation	variation	NOUN
ajst-19199	27	25	of	of	ADP
ajst-19199	27	26	electromagnetic	electromagnetic	ADJ
ajst-19199	27	27	wave	wave	NOUN
ajst-19199	27	28	will	will	AUX
ajst-19199	27	29	increase	increase	VERB
ajst-19199	27	30	.	.	PUNCT
ajst-19199	28	1	and	and	CCONJ
ajst-19199	28	2	the	the	DET
ajst-19199	28	3	reinforcement	reinforcement	NOUN
ajst-19199	28	4	inside	inside	ADP
ajst-19199	28	5	the	the	DET
ajst-19199	28	6	structure	structure	NOUN
ajst-19199	28	7	will	will	AUX
ajst-19199	28	8	also	also	ADV
ajst-19199	28	9	cause	cause	VERB
ajst-19199	28	10	some	some	DET
ajst-19199	28	11	difficulties	difficulty	NOUN
ajst-19199	28	12	in	in	ADP
ajst-19199	28	13	defect	defect	ADJ
ajst-19199	28	14	detection	detection	NOUN
ajst-19199	28	15	[	[	X
ajst-19199	28	16	8	8	NUM
ajst-19199	28	17	]	]	PUNCT
ajst-19199	28	18	.	.	PUNCT
ajst-19199	29	1	ultrasonic	ultrasonic	ADJ
ajst-19199	29	2	inspection	inspection	NOUN
ajst-19199	29	3	is	be	AUX
ajst-19199	29	4	one	one	NUM
ajst-19199	29	5	of	of	ADP
ajst-19199	29	6	the	the	DET
ajst-19199	29	7	more	more	ADV
ajst-19199	29	8	common	common	ADJ
ajst-19199	29	9	inspection	inspection	NOUN
ajst-19199	29	10	methods	method	NOUN
ajst-19199	29	11	,	,	PUNCT
ajst-19199	29	12	it	it	PRON
ajst-19199	29	13	is	be	AUX
ajst-19199	29	14	to	to	PART
ajst-19199	29	15	talk	talk	VERB
ajst-19199	29	16	about	about	ADP
ajst-19199	29	17	the	the	DET
ajst-19199	29	18	piezoelectric	piezoelectric	ADJ
ajst-19199	29	19	transducer	transducer	NOUN
ajst-19199	29	20	affixed	affix	VERB
ajst-19199	29	21	to	to	ADP
ajst-19199	29	22	the	the	DET
ajst-19199	29	23	surface	surface	NOUN
ajst-19199	29	24	of	of	ADP
ajst-19199	29	25	the	the	DET
ajst-19199	29	26	structure	structure	NOUN
ajst-19199	29	27	to	to	PART
ajst-19199	29	28	be	be	AUX
ajst-19199	29	29	tested	test	VERB
ajst-19199	29	30	,	,	PUNCT
ajst-19199	29	31	through	through	ADP
ajst-19199	29	32	the	the	DET
ajst-19199	29	33	piezoelectric	piezoelectric	ADJ
ajst-19199	29	34	transducer	transducer	NOUN
ajst-19199	29	35	voltage	voltage	NOUN
ajst-19199	29	36	applied	apply	VERB
ajst-19199	29	37	to	to	ADP
ajst-19199	29	38	the	the	DET
ajst-19199	29	39	surface	surface	NOUN
ajst-19199	29	40	of	of	ADP
ajst-19199	29	41	the	the	DET
ajst-19199	29	42	structure	structure	NOUN
ajst-19199	29	43	caused	cause	VERB
ajst-19199	29	44	by	by	ADP
ajst-19199	29	45	the	the	DET
ajst-19199	29	46	vibration	vibration	NOUN
ajst-19199	29	47	of	of	ADP
ajst-19199	29	48	the	the	DET
ajst-19199	29	49	structure	structure	NOUN
ajst-19199	29	50	to	to	PART
ajst-19199	29	51	generate	generate	VERB
ajst-19199	29	52	stress	stress	NOUN
ajst-19199	29	53	waves	wave	NOUN
ajst-19199	29	54	,	,	PUNCT
ajst-19199	29	55	through	through	ADP
ajst-19199	29	56	the	the	DET
ajst-19199	29	57	analysis	analysis	NOUN
ajst-19199	29	58	of	of	ADP
ajst-19199	29	59	the	the	DET
ajst-19199	29	60	signals	signal	NOUN
ajst-19199	29	61	received	receive	VERB
ajst-19199	29	62	by	by	ADP
ajst-19199	29	63	the	the	DET
ajst-19199	29	64	receiving	receiving	NOUN
ajst-19199	29	65	end	end	NOUN
ajst-19199	29	66	of	of	ADP
ajst-19199	29	67	the	the	DET
ajst-19199	29	68	structure	structure	NOUN
ajst-19199	29	69	to	to	PART
ajst-19199	29	70	determine	determine	VERB
ajst-19199	29	71	the	the	DET
ajst-19199	29	72	internal	internal	ADJ
ajst-19199	29	73	situation	situation	NOUN
ajst-19199	29	74	[	[	X
ajst-19199	29	75	9	9	NUM
ajst-19199	29	76	]	]	PUNCT
ajst-19199	29	77	.	.	PUNCT
ajst-19199	30	1	the	the	DET
ajst-19199	30	2	vibration	vibration	NOUN
ajst-19199	30	3	frequency	frequency	NOUN
ajst-19199	30	4	of	of	ADP
ajst-19199	30	5	ultrasonic	ultrasonic	ADJ
ajst-19199	30	6	testing	testing	NOUN
ajst-19199	30	7	is	be	AUX
ajst-19199	30	8	generally	generally	ADV
ajst-19199	30	9	very	very	ADV
ajst-19199	30	10	high	high	ADJ
ajst-19199	30	11	,	,	PUNCT
ajst-19199	30	12	usually	usually	ADV
ajst-19199	30	13	above	above	ADP
ajst-19199	30	14	20khz	20khz	PROPN
ajst-19199	30	15	.	.	PUNCT
ajst-19199	31	1	the	the	PRON
ajst-19199	31	2	higher	high	ADJ
ajst-19199	31	3	the	the	DET
ajst-19199	31	4	frequency	frequency	NOUN
ajst-19199	31	5	of	of	ADP
ajst-19199	31	6	the	the	DET
ajst-19199	31	7	signal	signal	NOUN
ajst-19199	31	8	,	,	PUNCT
ajst-19199	31	9	the	the	PRON
ajst-19199	31	10	higher	high	ADJ
ajst-19199	31	11	the	the	DET
ajst-19199	31	12	accuracy	accuracy	NOUN
ajst-19199	31	13	of	of	ADP
ajst-19199	31	14	the	the	DET
ajst-19199	31	15	test	test	NOUN
ajst-19199	31	16	,	,	PUNCT
ajst-19199	31	17	the	the	DET
ajst-19199	31	18	attenuation	attenuation	NOUN
ajst-19199	31	19	will	will	AUX
ajst-19199	31	20	also	also	ADV
ajst-19199	31	21	become	become	VERB
ajst-19199	31	22	larger	large	ADJ
ajst-19199	31	23	,	,	PUNCT
ajst-19199	31	24	resulting	result	VERB
ajst-19199	31	25	in	in	ADP
ajst-19199	31	26	ultrasonic	ultrasonic	ADJ
ajst-19199	31	27	detection	detection	NOUN
ajst-19199	31	28	method	method	NOUN
ajst-19199	31	29	of	of	ADP
ajst-19199	31	30	detection	detection	NOUN
ajst-19199	31	31	distance	distance	NOUN
ajst-19199	31	32	is	be	AUX
ajst-19199	31	33	relatively	relatively	ADV
ajst-19199	31	34	short	short	ADJ
ajst-19199	31	35	.	.	PUNCT
ajst-19199	32	1	acoustic	acoustic	ADJ
ajst-19199	32	2	vibration	vibration	NOUN
ajst-19199	32	3	is	be	AUX
ajst-19199	32	4	also	also	ADV
ajst-19199	32	5	used	use	VERB
ajst-19199	32	6	to	to	PART
ajst-19199	32	7	determine	determine	VERB
ajst-19199	32	8	the	the	DET
ajst-19199	32	9	internal	internal	ADJ
ajst-19199	32	10	condition	condition	NOUN
ajst-19199	32	11	of	of	ADP
ajst-19199	32	12	a	a	DET
ajst-19199	32	13	structure	structure	NOUN
ajst-19199	32	14	by	by	ADP
ajst-19199	32	15	receiving	receive	VERB
ajst-19199	32	16	stress	stress	NOUN
ajst-19199	32	17	waves	wave	NOUN
ajst-19199	32	18	propagating	propagate	VERB
ajst-19199	32	19	inside	inside	ADP
ajst-19199	32	20	the	the	DET
ajst-19199	32	21	structure	structure	NOUN
ajst-19199	33	1	[	[	X
ajst-19199	33	2	10	10	NUM
ajst-19199	33	3	]	]	PUNCT
ajst-19199	33	4	.	.	PUNCT
ajst-19199	34	1	the	the	DET
ajst-19199	34	2	difference	difference	NOUN
ajst-19199	34	3	with	with	ADP
ajst-19199	34	4	ultrasonic	ultrasonic	ADJ
ajst-19199	34	5	testing	testing	NOUN
ajst-19199	34	6	is	be	AUX
ajst-19199	34	7	that	that	SCONJ
ajst-19199	34	8	ultrasonic	ultrasonic	ADJ
ajst-19199	34	9	testing	testing	NOUN
ajst-19199	34	10	generates	generate	VERB
ajst-19199	34	11	high	high	ADJ
ajst-19199	34	12	-	-	PUNCT
ajst-19199	34	13	frequency	frequency	NOUN
ajst-19199	34	14	stress	stress	NOUN
ajst-19199	34	15	waves	wave	NOUN
ajst-19199	34	16	,	,	PUNCT
ajst-19199	34	17	whereas	whereas	SCONJ
ajst-19199	34	18	acoustic	acoustic	ADJ
ajst-19199	34	19	vibration	vibration	NOUN
ajst-19199	34	20	testing	testing	NOUN
ajst-19199	34	21	has	have	VERB
ajst-19199	34	22	a	a	DET
ajst-19199	34	23	lower	low	ADJ
ajst-19199	34	24	frequency	frequency	NOUN
ajst-19199	34	25	,	,	PUNCT
ajst-19199	34	26	usually	usually	ADV
ajst-19199	34	27	a	a	DET
ajst-19199	34	28	few	few	ADJ
ajst-19199	34	29	hundred	hundred	NUM
ajst-19199	34	30	to	to	ADP
ajst-19199	34	31	a	a	DET
ajst-19199	34	32	few	few	ADJ
ajst-19199	34	33	thousand	thousand	NUM
ajst-19199	34	34	hz	hz	NOUN
ajst-19199	34	35	,	,	PUNCT
ajst-19199	34	36	which	which	PRON
ajst-19199	34	37	is	be	AUX
ajst-19199	34	38	basically	basically	ADV
ajst-19199	34	39	within	within	ADP
ajst-19199	34	40	the	the	DET
ajst-19199	34	41	frequency	frequency	ADJ
ajst-19199	34	42	range	range	NOUN
ajst-19199	34	43	of	of	ADP
ajst-19199	34	44	the	the	DET
ajst-19199	34	45	human	human	ADJ
ajst-19199	34	46	ear	ear	NOUN
ajst-19199	35	1	[	[	X
ajst-19199	35	2	11	11	NUM
ajst-19199	35	3	]	]	PUNCT
ajst-19199	35	4	.	.	PUNCT
ajst-19199	36	1	acoustic	acoustic	ADJ
ajst-19199	36	2	vibration	vibration	NOUN
ajst-19199	36	3	method	method	NOUN
ajst-19199	36	4	is	be	AUX
ajst-19199	36	5	generally	generally	ADV
ajst-19199	36	6	the	the	DET
ajst-19199	36	7	use	use	NOUN
ajst-19199	36	8	of	of	ADP
ajst-19199	36	9	percussion	percussion	NOUN
ajst-19199	36	10	hammer	hammer	NOUN
ajst-19199	36	11	or	or	CCONJ
ajst-19199	36	12	steel	steel	NOUN
ajst-19199	36	13	ball	ball	NOUN
ajst-19199	36	14	and	and	CCONJ
ajst-19199	36	15	other	other	ADJ
ajst-19199	36	16	objects	object	NOUN
ajst-19199	36	17	to	to	PART
ajst-19199	36	18	be	be	AUX
ajst-19199	36	19	tested	test	VERB
ajst-19199	36	20	objects	object	NOUN
ajst-19199	36	21	between	between	ADP
ajst-19199	36	22	the	the	DET
ajst-19199	36	23	markers	marker	NOUN
ajst-19199	36	24	for	for	ADP
ajst-19199	36	25	percussion	percussion	NOUN
ajst-19199	36	26	,	,	PUNCT
ajst-19199	36	27	so	so	SCONJ
ajst-19199	36	28	as	as	SCONJ
ajst-19199	36	29	to	to	PART
ajst-19199	36	30	produce	produce	VERB
ajst-19199	36	31	lowfrequency	lowfrequency	NOUN
ajst-19199	36	32	stress	stress	NOUN
ajst-19199	36	33	waves	wave	NOUN
ajst-19199	36	34	,	,	PUNCT
ajst-19199	36	35	acoustic	acoustic	ADJ
ajst-19199	36	36	vibration	vibration	NOUN
ajst-19199	36	37	method	method	NOUN
ajst-19199	36	38	has	have	VERB
ajst-19199	36	39	a	a	DET
ajst-19199	36	40	lot	lot	NOUN
ajst-19199	36	41	of	of	ADP
ajst-19199	36	42	advantages	advantage	NOUN
ajst-19199	36	43	such	such	ADJ
ajst-19199	36	44	as	as	ADP
ajst-19199	36	45	easy	easy	ADJ
ajst-19199	36	46	to	to	PART
ajst-19199	36	47	stimulate	stimulate	VERB
ajst-19199	36	48	,	,	PUNCT
ajst-19199	36	49	easy	easy	ADJ
ajst-19199	36	50	to	to	PART
ajst-19199	36	51	operate	operate	VERB
ajst-19199	36	52	,	,	PUNCT
ajst-19199	36	53	detection	detection	NOUN
ajst-19199	36	54	of	of	ADP
ajst-19199	36	55	the	the	DET
ajst-19199	36	56	depth	depth	NOUN
ajst-19199	36	57	of	of	ADP
ajst-19199	36	58	a	a	DET
ajst-19199	36	59	large	large	ADJ
ajst-19199	36	60	,	,	PUNCT
ajst-19199	36	61	so	so	ADV
ajst-19199	36	62	acoustic	acoustic	ADJ
ajst-19199	36	63	vibration	vibration	NOUN
ajst-19199	36	64	is	be	AUX
ajst-19199	36	65	a	a	DET
ajst-19199	36	66	powerful	powerful	ADJ
ajst-19199	36	67	method	method	NOUN
ajst-19199	36	68	of	of	ADP
ajst-19199	36	69	tunnel	tunnel	NOUN
ajst-19199	36	70	lining	lining	NOUN
ajst-19199	36	71	voiding	void	VERB
ajst-19199	36	72	detection	detection	NOUN
ajst-19199	36	73	.	.	PUNCT
ajst-19199	37	1	2	2	X
ajst-19199	37	2	.	.	X
ajst-19199	37	3	tunnel	tunnel	NOUN
ajst-19199	37	4	sound	sound	ADJ
ajst-19199	37	5	vibration	vibration	NOUN
ajst-19199	37	6	detection	detection	NOUN
ajst-19199	37	7	technology	technology	NOUN
ajst-19199	37	8	the	the	DET
ajst-19199	37	9	most	most	ADV
ajst-19199	37	10	central	central	ADJ
ajst-19199	37	11	idea	idea	NOUN
ajst-19199	37	12	in	in	ADP
ajst-19199	37	13	tunnel	tunnel	NOUN
ajst-19199	37	14	sound	sound	ADJ
ajst-19199	37	15	vibration	vibration	NOUN
ajst-19199	37	16	detection	detection	NOUN
ajst-19199	37	17	technology	technology	NOUN
ajst-19199	37	18	is	be	AUX
ajst-19199	37	19	anomaly	anomaly	NOUN
ajst-19199	37	20	sound	sound	NOUN
ajst-19199	37	21	detection	detection	NOUN
ajst-19199	37	22	,	,	PUNCT
ajst-19199	37	23	anomaly	anomaly	NOUN
ajst-19199	37	24	sound	sound	NOUN
ajst-19199	37	25	detection	detection	NOUN
ajst-19199	37	26	(	(	PUNCT
ajst-19199	37	27	asd	asd	NOUN
ajst-19199	37	28	)	)	PUNCT
ajst-19199	37	29	is	be	AUX
ajst-19199	37	30	an	an	DET
ajst-19199	37	31	important	important	ADJ
ajst-19199	37	32	audio	audio	ADJ
ajst-19199	37	33	signal	signal	NOUN
ajst-19199	37	34	processing	processing	NOUN
ajst-19199	37	35	task	task	NOUN
ajst-19199	37	36	aimed	aim	VERB
ajst-19199	37	37	at	at	ADP
ajst-19199	37	38	detecting	detect	VERB
ajst-19199	37	39	and	and	CCONJ
ajst-19199	37	40	identifying	identify	VERB
ajst-19199	37	41	anomalies	anomaly	NOUN
ajst-19199	37	42	or	or	CCONJ
ajst-19199	37	43	anomalous	anomalous	ADJ
ajst-19199	37	44	events	event	NOUN
ajst-19199	37	45	in	in	ADP
ajst-19199	37	46	audio	audio	ADJ
ajst-19199	37	47	signals	signal	NOUN
ajst-19199	37	48	.	.	PUNCT
ajst-19199	38	1	these	these	DET
ajst-19199	38	2	anomalous	anomalous	ADJ
ajst-19199	38	3	sounds	sound	NOUN
ajst-19199	38	4	may	may	AUX
ajst-19199	38	5	include	include	VERB
ajst-19199	38	6	environmental	environmental	ADJ
ajst-19199	38	7	noise	noise	NOUN
ajst-19199	38	8	,	,	PUNCT
ajst-19199	38	9	fault	fault	NOUN
ajst-19199	38	10	sounds	sound	VERB
ajst-19199	38	11	,	,	PUNCT
ajst-19199	38	12	abnormal	abnormal	ADJ
ajst-19199	38	13	events	event	NOUN
ajst-19199	38	14	,	,	PUNCT
ajst-19199	38	15	etc	etc	X
ajst-19199	38	16	.	.	X
ajst-19199	39	1	among	among	ADP
ajst-19199	39	2	these	these	PRON
ajst-19199	39	3	,	,	PUNCT
ajst-19199	39	4	automatic	automatic	ADJ
ajst-19199	39	5	detection	detection	NOUN
ajst-19199	39	6	of	of	ADP
ajst-19199	39	7	mechanical	mechanical	ADJ
ajst-19199	39	8	and	and	CCONJ
ajst-19199	39	9	architectural	architectural	ADJ
ajst-19199	39	10	faults	fault	NOUN
ajst-19199	39	11	is	be	AUX
ajst-19199	39	12	an	an	DET
ajst-19199	39	13	important	important	ADJ
ajst-19199	39	14	technology	technology	NOUN
ajst-19199	39	15	of	of	ADP
ajst-19199	39	16	the	the	DET
ajst-19199	39	17	fourth	fourth	ADJ
ajst-19199	39	18	industrial	industrial	ADJ
ajst-19199	39	19	revolution	revolution	NOUN
ajst-19199	39	20	,	,	PUNCT
ajst-19199	39	21	which	which	PRON
ajst-19199	39	22	involves	involve	VERB
ajst-19199	39	23	artificial	artificial	ADJ
ajst-19199	39	24	intelligencebased	intelligencebase	VERB
ajst-19199	39	25	factory	factory	NOUN
ajst-19199	39	26	automation	automation	NOUN
ajst-19199	39	27	.	.	PUNCT
ajst-19199	40	1	timely	timely	ADJ
ajst-19199	40	2	detection	detection	NOUN
ajst-19199	40	3	of	of	ADP
ajst-19199	40	4	anomalies	anomaly	NOUN
ajst-19199	40	5	by	by	ADP
ajst-19199	40	6	observing	observe	VERB
ajst-19199	40	7	sounds	sound	NOUN
ajst-19199	40	8	is	be	AUX
ajst-19199	40	9	very	very	ADV
ajst-19199	40	10	useful	useful	ADJ
ajst-19199	40	11	for	for	ADP
ajst-19199	40	12	condition	condition	NOUN
ajst-19199	40	13	monitoring	monitoring	NOUN
ajst-19199	40	14	in	in	ADP
ajst-19199	40	15	industries	industry	NOUN
ajst-19199	40	16	.	.	PUNCT
ajst-19199	41	1	fig	fig	NOUN
ajst-19199	41	2	.	.	PUNCT
ajst-19199	42	1	1	1	NUM
ajst-19199	42	2	shows	show	VERB
ajst-19199	42	3	an	an	DET
ajst-19199	42	4	overview	overview	NOUN
ajst-19199	42	5	of	of	ADP
ajst-19199	42	6	the	the	DET
ajst-19199	42	7	anomaly	anomaly	NOUN
ajst-19199	42	8	detection	detection	NOUN
ajst-19199	42	9	system	system	NOUN
ajst-19199	42	10	.	.	PUNCT
ajst-19199	43	1	figure	figure	NOUN
ajst-19199	43	2	1	1	NUM
ajst-19199	43	3	.	.	X
ajst-19199	43	4	abnormal	abnormal	ADJ
ajst-19199	43	5	sound	sound	NOUN
ajst-19199	43	6	detection	detection	NOUN
ajst-19199	43	7	process	process	NOUN
ajst-19199	43	8	traditional	traditional	ADJ
ajst-19199	43	9	abnormal	abnormal	ADJ
ajst-19199	43	10	sound	sound	NOUN
ajst-19199	43	11	detection	detection	NOUN
ajst-19199	43	12	methods	method	NOUN
ajst-19199	43	13	are	be	AUX
ajst-19199	43	14	mainly	mainly	ADV
ajst-19199	43	15	based	base	VERB
ajst-19199	43	16	on	on	ADP
ajst-19199	43	17	signal	signal	NOUN
ajst-19199	43	18	processing	processing	NOUN
ajst-19199	43	19	and	and	CCONJ
ajst-19199	43	20	machine	machine	NOUN
ajst-19199	43	21	learning	learn	VERB
ajst-19199	43	22	techniques	technique	NOUN
ajst-19199	43	23	,	,	PUNCT
ajst-19199	43	24	including	include	VERB
ajst-19199	43	25	frequency	frequency	NOUN
ajst-19199	43	26	domain	domain	NOUN
ajst-19199	43	27	analysis	analysis	NOUN
ajst-19199	43	28	,	,	PUNCT
ajst-19199	43	29	time	time	NOUN
ajst-19199	43	30	domain	domain	NOUN
ajst-19199	43	31	analysis	analysis	NOUN
ajst-19199	43	32	,	,	PUNCT
ajst-19199	43	33	feature	feature	NOUN
ajst-19199	43	34	extraction	extraction	NOUN
ajst-19199	43	35	,	,	PUNCT
ajst-19199	43	36	and	and	CCONJ
ajst-19199	43	37	classifier	classifier	NOUN
ajst-19199	43	38	design	design	NOUN
ajst-19199	43	39	.	.	PUNCT
ajst-19199	44	1	due	due	ADP
ajst-19199	44	2	to	to	ADP
ajst-19199	44	3	the	the	DET
ajst-19199	44	4	specificity	specificity	NOUN
ajst-19199	44	5	of	of	ADP
ajst-19199	44	6	abnormal	abnormal	ADJ
ajst-19199	44	7	sound	sound	NOUN
ajst-19199	44	8	detection	detection	NOUN
ajst-19199	44	9	,	,	PUNCT
ajst-19199	44	10	many	many	ADJ
ajst-19199	44	11	downstream	downstream	ADJ
ajst-19199	44	12	tasks	task	NOUN
ajst-19199	44	13	suffer	suffer	VERB
ajst-19199	44	14	from	from	ADP
ajst-19199	44	15	inadequate	inadequate	ADJ
ajst-19199	44	16	abnormal	abnormal	ADJ
ajst-19199	44	17	sound	sound	NOUN
ajst-19199	44	18	datasets	dataset	NOUN
ajst-19199	44	19	and	and	CCONJ
ajst-19199	44	20	insufficiently	insufficiently	ADV
ajst-19199	44	21	detailed	detailed	ADJ
ajst-19199	44	22	patterns	pattern	NOUN
ajst-19199	44	23	of	of	ADP
ajst-19199	44	24	abnormal	abnormal	ADJ
ajst-19199	44	25	sounds	sound	NOUN
ajst-19199	44	26	,	,	PUNCT
ajst-19199	44	27	so	so	ADV
ajst-19199	44	28	many	many	ADJ
ajst-19199	44	29	abnormal	abnormal	ADJ
ajst-19199	44	30	sound	sound	NOUN
ajst-19199	44	31	detection	detection	NOUN
ajst-19199	44	32	algorithms	algorithm	NOUN
ajst-19199	44	33	are	be	AUX
ajst-19199	44	34	based	base	VERB
ajst-19199	44	35	on	on	ADP
ajst-19199	44	36	normal	normal	ADJ
ajst-19199	44	37	sound	sound	NOUN
ajst-19199	44	38	sample	sample	NOUN
ajst-19199	44	39	datasets	dataset	NOUN
ajst-19199	44	40	for	for	ADP
ajst-19199	44	41	detection	detection	NOUN
ajst-19199	44	42	.	.	PUNCT
ajst-19199	45	1	the	the	DET
ajst-19199	45	2	research	research	NOUN
ajst-19199	45	3	on	on	ADP
ajst-19199	45	4	abnormal	abnormal	ADJ
ajst-19199	45	5	sound	sound	NOUN
ajst-19199	45	6	detection	detection	NOUN
ajst-19199	45	7	started	start	VERB
ajst-19199	45	8	relatively	relatively	ADV
ajst-19199	45	9	early	early	ADV
ajst-19199	45	10	,	,	PUNCT
ajst-19199	45	11	and	and	CCONJ
ajst-19199	45	12	the	the	DET
ajst-19199	45	13	early	early	ADJ
ajst-19199	45	14	methods	method	NOUN
ajst-19199	45	15	through	through	ADP
ajst-19199	45	16	parameter	parameter	NOUN
ajst-19199	45	17	estimation	estimation	NOUN
ajst-19199	45	18	,	,	PUNCT
ajst-19199	45	19	to	to	ADP
ajst-19199	45	20	the	the	DET
ajst-19199	45	21	reconstruction	reconstruction	NOUN
ajst-19199	45	22	-	-	PUNCT
ajst-19199	45	23	based	base	VERB
ajst-19199	45	24	methods	method	NOUN
ajst-19199	45	25	,	,	PUNCT
ajst-19199	45	26	and	and	CCONJ
ajst-19199	45	27	the	the	DET
ajst-19199	45	28	later	later	ADJ
ajst-19199	45	29	methods	method	NOUN
ajst-19199	45	30	based	base	VERB
ajst-19199	45	31	on	on	ADP
ajst-19199	45	32	the	the	DET
ajst-19199	45	33	support	support	NOUN
ajst-19199	45	34	domain	domain	NOUN
ajst-19199	45	35	are	be	AUX
ajst-19199	45	36	all	all	PRON
ajst-19199	45	37	relatively	relatively	ADV
ajst-19199	45	38	classical	classical	ADJ
ajst-19199	45	39	work	work	NOUN
ajst-19199	45	40	.	.	PUNCT
ajst-19199	46	1	2.1	2.1	NUM
ajst-19199	46	2	.	.	X
ajst-19199	46	3	abnormal	abnormal	ADJ
ajst-19199	46	4	sound	sound	NOUN
ajst-19199	46	5	detection	detection	NOUN
ajst-19199	46	6	based	base	VERB
ajst-19199	46	7	on	on	ADP
ajst-19199	46	8	parameter	parameter	NOUN
ajst-19199	46	9	estimation	estimation	NOUN
ajst-19199	46	10	since	since	SCONJ
ajst-19199	46	11	it	it	PRON
ajst-19199	46	12	is	be	AUX
ajst-19199	46	13	very	very	ADV
ajst-19199	46	14	difficult	difficult	ADJ
ajst-19199	46	15	to	to	PART
ajst-19199	46	16	obtain	obtain	VERB
ajst-19199	46	17	abnormal	abnormal	ADJ
ajst-19199	46	18	audio	audio	ADJ
ajst-19199	46	19	data	datum	NOUN
ajst-19199	46	20	in	in	ADP
ajst-19199	46	21	abnormal	abnormal	ADJ
ajst-19199	46	22	sound	sound	NOUN
ajst-19199	46	23	detection	detection	NOUN
ajst-19199	46	24	tasks	task	NOUN
ajst-19199	46	25	,	,	PUNCT
ajst-19199	46	26	and	and	CCONJ
ajst-19199	46	27	general	general	ADJ
ajst-19199	46	28	abnormal	abnormal	ADJ
ajst-19199	46	29	detection	detection	NOUN
ajst-19199	46	30	tasks	task	NOUN
ajst-19199	46	31	use	use	VERB
ajst-19199	46	32	normal	normal	ADJ
ajst-19199	46	33	samples	sample	NOUN
ajst-19199	46	34	of	of	ADP
ajst-19199	46	35	this	this	DET
ajst-19199	46	36	type	type	NOUN
ajst-19199	46	37	of	of	ADP
ajst-19199	46	38	data	datum	NOUN
ajst-19199	46	39	for	for	ADP
ajst-19199	46	40	unsupervised	unsupervised	ADJ
ajst-19199	46	41	learning	learning	NOUN
ajst-19199	46	42	,	,	PUNCT
ajst-19199	46	43	there	there	PRON
ajst-19199	46	44	is	be	VERB
ajst-19199	46	45	one	one	NUM
ajst-19199	46	46	of	of	ADP
ajst-19199	46	47	the	the	DET
ajst-19199	46	48	simplest	simple	ADJ
ajst-19199	46	49	and	and	CCONJ
ajst-19199	46	50	most	most	ADV
ajst-19199	46	51	direct	direct	ADJ
ajst-19199	46	52	ways	way	NOUN
ajst-19199	46	53	to	to	PART
ajst-19199	46	54	perform	perform	VERB
ajst-19199	46	55	abnormal	abnormal	ADJ
ajst-19199	46	56	sound	sound	NOUN
ajst-19199	46	57	detection	detection	NOUN
ajst-19199	46	58	,	,	PUNCT
ajst-19199	46	59	which	which	PRON
ajst-19199	46	60	can	can	AUX
ajst-19199	46	61	be	be	AUX
ajst-19199	46	62	parameterized	parameterize	VERB
ajst-19199	46	63	by	by	ADP
ajst-19199	46	64	estimating	estimate	VERB
ajst-19199	46	65	the	the	DET
ajst-19199	46	66	density	density	NOUN
ajst-19199	46	67	model	model	NOUN
ajst-19199	46	68	of	of	ADP
ajst-19199	46	69	the	the	DET
ajst-19199	46	70	samples	sample	NOUN
ajst-19199	46	71	and	and	CCONJ
ajst-19199	46	72	setting	set	VERB
ajst-19199	46	73	the	the	DET
ajst-19199	46	74	density	density	NOUN
ajst-19199	46	75	threshold	threshold	NOUN
ajst-19199	46	76	.	.	PUNCT
ajst-19199	47	1	one	one	NUM
ajst-19199	47	2	of	of	ADP
ajst-19199	47	3	the	the	DET
ajst-19199	47	4	simplest	simple	ADJ
ajst-19199	47	5	estimation	estimation	NOUN
ajst-19199	47	6	methods	method	NOUN
ajst-19199	47	7	is	be	AUX
ajst-19199	47	8	to	to	PART
ajst-19199	47	9	assume	assume	VERB
ajst-19199	47	10	that	that	SCONJ
ajst-19199	47	11	the	the	DET
ajst-19199	47	12	samples	sample	NOUN
ajst-19199	47	13	obey	obey	VERB
ajst-19199	47	14	a	a	DET
ajst-19199	47	15	unitary	unitary	ADJ
ajst-19199	47	16	gaussian	gaussian	ADJ
ajst-19199	47	17	distribution	distribution	NOUN
ajst-19199	47	18	[	[	X
ajst-19199	47	19	12	12	NUM
ajst-19199	47	20	]	]	PUNCT
ajst-19199	47	21	,	,	PUNCT
ajst-19199	47	22	as	as	ADP
ajst-19199	47	23	in	in	ADP
ajst-19199	47	24	equation	equation	NOUN
ajst-19199	47	25	(	(	PUNCT
ajst-19199	47	26	1	1	NUM
ajst-19199	47	27	):	):	SYM
ajst-19199	47	28	2	2	NUM
ajst-19199	47	29	2	2	NUM
ajst-19199	47	30	1	1	NUM
ajst-19199	47	31	(	(	PUNCT
ajst-19199	47	32	)	)	PUNCT
ajst-19199	47	33	(	(	PUNCT
ajst-19199	47	34	)	)	PUNCT
ajst-19199	47	35	exp	exp	NOUN
ajst-19199	47	36	22	22	NUM
ajst-19199	47	37	x	x	SYM
ajst-19199	47	38	p	p	X
ajst-19199	47	39	x	x	X
ajst-19199	47	40	p	p	NOUN
ajst-19199	47	41			NOUN
ajst-19199	47	42			NOUN
ajst-19199	47	43			VERB
ajst-19199	47	44			PRON
ajst-19199	47	45			NOUN
ajst-19199	47	46	(	(	PUNCT
ajst-19199	47	47	1	1	NUM
ajst-19199	47	48	)	)	PUNCT
ajst-19199	47	49	where	where	SCONJ
ajst-19199	47	50	μ	μ	NOUN
ajst-19199	47	51	is	be	AUX
ajst-19199	47	52	the	the	DET
ajst-19199	47	53	mean	mean	NOUN
ajst-19199	47	54	of	of	ADP
ajst-19199	47	55	the	the	DET
ajst-19199	47	56	normal	normal	ADJ
ajst-19199	47	57	data	datum	NOUN
ajst-19199	47	58	sample	sample	NOUN
ajst-19199	47	59	and	and	CCONJ
ajst-19199	47	60	𝜎	𝜎	PROPN
ajst-19199	47	61	is	be	AUX
ajst-19199	47	62	the	the	DET
ajst-19199	47	63	variance	variance	NOUN
ajst-19199	47	64	,	,	PUNCT
ajst-19199	47	65	according	accord	VERB
ajst-19199	47	66	to	to	ADP
ajst-19199	47	67	the	the	DET
ajst-19199	47	68	2𝜎	2𝜎	NOUN
ajst-19199	47	69	and	and	CCONJ
ajst-19199	47	70	3𝜎	3𝜎	NUM
ajst-19199	47	71	criteria	criterion	NOUN
ajst-19199	47	72	of	of	ADP
ajst-19199	47	73	the	the	DET
ajst-19199	47	74	gaussian	gaussian	ADJ
ajst-19199	47	75	distribution	distribution	NOUN
ajst-19199	47	76	:	:	PUNCT
ajst-19199	47	77	(	(	PUNCT
ajst-19199	47	78	|	|	ADV
ajst-19199	47	79	|	|	ADV
ajst-19199	47	80	2	2	X
ajst-19199	47	81	)	)	PUNCT
ajst-19199	47	82	(	(	PUNCT
ajst-19199	47	83	|	|	ADV
ajst-19199	47	84	|	|	ADV
ajst-19199	47	85	3	3	X
ajst-19199	47	86	)	)	PUNCT
ajst-19199	48	1	p	p	X
ajst-19199	48	2	x	x	X
ajst-19199	48	3	p	p	X
ajst-19199	48	4	x	x	X
ajst-19199	48	5			NOUN
ajst-19199	48	6			NOUN
ajst-19199	48	7			NOUN
ajst-19199	48	8			PROPN
ajst-19199	48	9			NOUN
ajst-19199	48	10			PROPN
ajst-19199	48	11			PROPN
ajst-19199	48	12			PROPN
ajst-19199	48	13	(	(	PUNCT
ajst-19199	48	14	2	2	NUM
ajst-19199	48	15	)	)	PUNCT
ajst-19199	48	16	therefore	therefore	ADV
ajst-19199	48	17	,	,	PUNCT
ajst-19199	48	18	according	accord	VERB
ajst-19199	48	19	to	to	ADP
ajst-19199	48	20	equation	equation	NOUN
ajst-19199	48	21	(	(	PUNCT
ajst-19199	48	22	2	2	NUM
ajst-19199	48	23	)	)	PUNCT
ajst-19199	48	24	,	,	PUNCT
ajst-19199	48	25	if	if	SCONJ
ajst-19199	48	26	the	the	DET
ajst-19199	48	27	distance	distance	NOUN
ajst-19199	48	28	from	from	ADP
ajst-19199	48	29	the	the	DET
ajst-19199	48	30	mean	mean	NOUN
ajst-19199	48	31	of	of	ADP
ajst-19199	48	32	a	a	DET
ajst-19199	48	33	sample	sample	NOUN
ajst-19199	48	34	participating	participate	VERB
ajst-19199	48	35	in	in	ADP
ajst-19199	48	36	a	a	DET
ajst-19199	48	37	test	test	NOUN
ajst-19199	48	38	is	be	AUX
ajst-19199	48	39	more	more	ADJ
ajst-19199	48	40	than	than	ADP
ajst-19199	48	41	two	two	NUM
ajst-19199	48	42	or	or	CCONJ
ajst-19199	48	43	three	three	NUM
ajst-19199	48	44	times	time	NOUN
ajst-19199	48	45	the	the	DET
ajst-19199	48	46	variance	variance	NOUN
ajst-19199	48	47	,	,	PUNCT
ajst-19199	48	48	it	it	PRON
ajst-19199	48	49	can	can	AUX
ajst-19199	48	50	be	be	AUX
ajst-19199	48	51	decided	decide	VERB
ajst-19199	48	52	that	that	SCONJ
ajst-19199	48	53	the	the	DET
ajst-19199	48	54	test	test	NOUN
ajst-19199	48	55	sample	sample	NOUN
ajst-19199	48	56	is	be	AUX
ajst-19199	48	57	uncertain	uncertain	ADJ
ajst-19199	48	58	,	,	PUNCT
ajst-19199	48	59	and	and	CCONJ
ajst-19199	48	60	it	it	PRON
ajst-19199	48	61	can	can	AUX
ajst-19199	48	62	be	be	AUX
ajst-19199	48	63	regarded	regard	VERB
ajst-19199	48	64	as	as	ADP
ajst-19199	48	65	an	an	DET
ajst-19199	48	66	anomalous	anomalous	ADJ
ajst-19199	48	67	sample	sample	NOUN
ajst-19199	48	68	.	.	PUNCT
ajst-19199	49	1	however	however	ADV
ajst-19199	49	2	,	,	PUNCT
ajst-19199	49	3	this	this	DET
ajst-19199	49	4	model	model	NOUN
ajst-19199	49	5	is	be	AUX
ajst-19199	49	6	too	too	ADV
ajst-19199	49	7	simple	simple	ADJ
ajst-19199	49	8	and	and	CCONJ
ajst-19199	49	9	for	for	ADP
ajst-19199	49	10	the	the	DET
ajst-19199	49	11	data	datum	NOUN
ajst-19199	49	12	of	of	ADP
ajst-19199	49	13	one	one	NUM
ajst-19199	49	14	element	element	NOUN
ajst-19199	49	15	,	,	PUNCT
ajst-19199	49	16	if	if	SCONJ
ajst-19199	49	17	you	you	PRON
ajst-19199	49	18	want	want	VERB
ajst-19199	49	19	to	to	PART
ajst-19199	49	20	meet	meet	VERB
ajst-19199	49	21	this	this	DET
ajst-19199	49	22	model	model	NOUN
ajst-19199	49	23	,	,	PUNCT
ajst-19199	49	24	you	you	PRON
ajst-19199	49	25	need	need	VERB
ajst-19199	49	26	to	to	PART
ajst-19199	49	27	design	design	VERB
ajst-19199	49	28	good	good	ADJ
ajst-19199	49	29	enough	enough	ADV
ajst-19199	49	30	one	one	NUM
ajst-19199	49	31	element	element	NOUN
ajst-19199	49	32	features	feature	VERB
ajst-19199	49	33	to	to	PART
ajst-19199	49	34	save	save	VERB
ajst-19199	49	35	enough	enough	ADJ
ajst-19199	49	36	features	feature	NOUN
ajst-19199	49	37	so	so	SCONJ
ajst-19199	49	38	that	that	SCONJ
ajst-19199	49	39	you	you	PRON
ajst-19199	49	40	can	can	AUX
ajst-19199	49	41	use	use	VERB
ajst-19199	49	42	this	this	DET
ajst-19199	49	43	model	model	NOUN
ajst-19199	49	44	to	to	PART
ajst-19199	49	45	detect	detect	VERB
ajst-19199	49	46	,	,	PUNCT
ajst-19199	49	47	and	and	CCONJ
ajst-19199	49	48	the	the	DET
ajst-19199	49	49	design	design	NOUN
ajst-19199	49	50	of	of	ADP
ajst-19199	49	51	this	this	DET
ajst-19199	49	52	feature	feature	NOUN
ajst-19199	49	53	engineering	engineering	NOUN
ajst-19199	49	54	is	be	AUX
ajst-19199	49	55	undoubtedly	undoubtedly	ADV
ajst-19199	49	56	very	very	ADV
ajst-19199	49	57	complicated	complicated	ADJ
ajst-19199	49	58	.	.	PUNCT
ajst-19199	50	1	and	and	CCONJ
ajst-19199	50	2	since	since	SCONJ
ajst-19199	50	3	such	such	ADJ
ajst-19199	50	4	one	one	NUM
ajst-19199	50	5	-	-	PUNCT
ajst-19199	50	6	dimensional	dimensional	ADJ
ajst-19199	50	7	features	feature	NOUN
ajst-19199	50	8	can	can	AUX
ajst-19199	50	9	be	be	AUX
ajst-19199	50	10	detected	detect	VERB
ajst-19199	50	11	by	by	ADP
ajst-19199	50	12	obeying	obey	VERB
ajst-19199	50	13	a	a	DET
ajst-19199	50	14	one	one	NUM
ajst-19199	50	15	-	-	PUNCT
ajst-19199	50	16	dimensional	dimensional	ADJ
ajst-19199	50	17	gaussian	gaussian	ADJ
ajst-19199	50	18	distribution	distribution	NOUN
ajst-19199	50	19	,	,	PUNCT
ajst-19199	50	20	whereas	whereas	SCONJ
ajst-19199	50	21	if	if	SCONJ
ajst-19199	50	22	there	there	PRON
ajst-19199	50	23	is	be	VERB
ajst-19199	50	24	a	a	DET
ajst-19199	50	25	multivariate	multivariate	NOUN
ajst-19199	50	26	data	datum	NOUN
ajst-19199	50	27	,	,	PUNCT
ajst-19199	50	28	abnormal	abnormal	ADJ
ajst-19199	50	29	sound	sound	NOUN
ajst-19199	50	30	detection	detection	NOUN
ajst-19199	50	31	can	can	AUX
ajst-19199	50	32	be	be	AUX
ajst-19199	50	33	carried	carry	VERB
ajst-19199	50	34	out	out	ADP
ajst-19199	50	35	by	by	ADP
ajst-19199	50	36	assuming	assume	VERB
ajst-19199	50	37	that	that	SCONJ
ajst-19199	50	38	all	all	DET
ajst-19199	50	39	the	the	DET
ajst-19199	50	40	data	data	NOUN
ajst-19199	50	41	obeys	obey	VERB
ajst-19199	50	42	a	a	DET
ajst-19199	50	43	model	model	NOUN
ajst-19199	50	44	with	with	ADP
ajst-19199	50	45	a	a	DET
ajst-19199	50	46	multivariate	multivariate	NOUN
ajst-19199	50	47	gaussian	gaussian	ADJ
ajst-19199	50	48	distribution	distribution	NOUN
ajst-19199	50	49	[	[	X
ajst-19199	50	50	13	13	NUM
ajst-19199	50	51	]	]	PUNCT
ajst-19199	50	52	,	,	PUNCT
ajst-19199	50	53	which	which	PRON
ajst-19199	50	54	is	be	AUX
ajst-19199	50	55	represented	represent	VERB
ajst-19199	50	56	as	as	ADP
ajst-19199	50	57	in	in	ADP
ajst-19199	50	58	eq(3	eq(3	NOUN
ajst-19199	50	59	):	):	PUNCT
ajst-19199	50	60	11	11	NUM
ajst-19199	50	61	1	1	NUM
ajst-19199	50	62	(	(	PUNCT
ajst-19199	50	63	)	)	PUNCT
ajst-19199	50	64	exp	exp	NOUN
ajst-19199	50	65	(	(	PUNCT
ajst-19199	50	66	(	(	PUNCT
ajst-19199	50	67	)	)	PUNCT
ajst-19199	50	68	(	(	PUNCT
ajst-19199	50	69	)	)	PUNCT
ajst-19199	50	70	)	)	PUNCT
ajst-19199	50	71	2(2	2(2	NUM
ajst-19199	50	72	)	)	PUNCT
ajst-19199	50	73	det	det	PROPN
ajst-19199	50	74	(	(	PUNCT
ajst-19199	50	75	)	)	PUNCT
ajst-19199	50	76	t	t	PROPN
ajst-19199	51	1	d	d	X
ajst-19199	51	2	p	p	X
ajst-19199	51	3	x	x	X
ajst-19199	51	4	x	x	X
ajst-19199	51	5	x	x	NUM
ajst-19199	51	6			NOUN
ajst-19199	51	7			ADP
ajst-19199	51	8			ADJ
ajst-19199	51	9			PROPN
ajst-19199	51	10			PROPN
ajst-19199	51	11			VERB
ajst-19199	51	12			PROPN
ajst-19199	51	13			NOUN
ajst-19199	51	14	(	(	PUNCT
ajst-19199	51	15	3	3	NUM
ajst-19199	51	16	)	)	PUNCT
ajst-19199	51	17	where	where	SCONJ
ajst-19199	51	18	𝑑	𝑑	NOUN
ajst-19199	51	19	is	be	AUX
ajst-19199	51	20	the	the	DET
ajst-19199	51	21	dimension	dimension	NOUN
ajst-19199	51	22	of	of	ADP
ajst-19199	51	23	the	the	DET
ajst-19199	51	24	sample	sample	NOUN
ajst-19199	51	25	,	,	PUNCT
ajst-19199	51	26	μ	μ	PROPN
ajst-19199	51	27	is	be	AUX
ajst-19199	51	28	also	also	ADV
ajst-19199	51	29	the	the	DET
ajst-19199	51	30	mean	mean	NOUN
ajst-19199	51	31	of	of	ADP
ajst-19199	51	32	the	the	DET
ajst-19199	51	33	normal	normal	ADJ
ajst-19199	51	34	sample	sample	NOUN
ajst-19199	51	35	used	use	VERB
ajst-19199	51	36	for	for	ADP
ajst-19199	51	37	training	training	NOUN
ajst-19199	51	38	,	,	PUNCT
ajst-19199	51	39	and	and	CCONJ
ajst-19199	51	40	∑	∑	ADV
ajst-19199	51	41	is	be	AUX
ajst-19199	51	42	the	the	DET
ajst-19199	51	43	covariance	covariance	NOUN
ajst-19199	51	44	matrix	matrix	NOUN
ajst-19199	51	45	of	of	ADP
ajst-19199	51	46	all	all	DET
ajst-19199	51	47	the	the	DET
ajst-19199	51	48	training	training	NOUN
ajst-19199	51	49	samples	sample	NOUN
ajst-19199	51	50	.	.	PUNCT
ajst-19199	52	1	however	however	ADV
ajst-19199	52	2	,	,	PUNCT
ajst-19199	52	3	both	both	PRON
ajst-19199	52	4	of	of	ADP
ajst-19199	52	5	the	the	DET
ajst-19199	52	6	above	above	ADJ
ajst-19199	52	7	models	model	NOUN
ajst-19199	52	8	for	for	ADP
ajst-19199	52	9	normal	normal	ADJ
ajst-19199	52	10	data	datum	NOUN
ajst-19199	52	11	are	be	AUX
ajst-19199	52	12	too	too	ADV
ajst-19199	52	13	simple	simple	ADJ
ajst-19199	52	14	to	to	PART
ajst-19199	52	15	accommodate	accommodate	VERB
ajst-19199	52	16	very	very	ADV
ajst-19199	52	17	complex	complex	ADJ
ajst-19199	52	18	data	datum	NOUN
ajst-19199	52	19	distributions	distribution	NOUN
ajst-19199	52	20	,	,	PUNCT
ajst-19199	52	21	so	so	ADV
ajst-19199	52	22	later	later	ADV
ajst-19199	52	23	sain	sain	NOUN
ajst-19199	53	1	[	[	X
ajst-19199	53	2	14	14	NUM
ajst-19199	53	3	]	]	PUNCT
ajst-19199	53	4	et	et	PROPN
ajst-19199	53	5	al	al	PROPN
ajst-19199	53	6	.	.	PROPN
ajst-19199	53	7	used	use	VERB
ajst-19199	53	8	a	a	DET
ajst-19199	53	9	different	different	ADJ
ajst-19199	53	10	model	model	NOUN
ajst-19199	53	11	for	for	ADP
ajst-19199	53	12	normal	normal	ADJ
ajst-19199	53	13	data	datum	NOUN
ajst-19199	53	14	based	base	VERB
ajst-19199	53	15	on	on	ADP
ajst-19199	53	16	a	a	DET
ajst-19199	53	17	general	general	ADJ
ajst-19199	53	18	data	datum	NOUN
ajst-19199	53	19	distribution	distribution	NOUN
ajst-19199	53	20	,	,	PUNCT
ajst-19199	53	21	as	as	ADP
ajst-19199	53	22	in	in	ADP
ajst-19199	53	23	eq	eq	NOUN
ajst-19199	53	24	(	(	PUNCT
ajst-19199	53	25	4	4	NUM
ajst-19199	53	26	):	):	SYM
ajst-19199	53	27	269	269	NUM
ajst-19199	53	28	1	1	NUM
ajst-19199	53	29	1	1	NUM
ajst-19199	53	30	1	1	NUM
ajst-19199	53	31	1	1	NUM
ajst-19199	53	32	1	1	NUM
ajst-19199	53	33	(	(	PUNCT
ajst-19199	53	34	)	)	PUNCT
ajst-19199	53	35	exp	exp	NOUN
ajst-19199	53	36	(	(	PUNCT
ajst-19199	53	37	(	(	PUNCT
ajst-19199	53	38	)	)	PUNCT
ajst-19199	53	39	(	(	PUNCT
ajst-19199	53	40	)	)	PUNCT
ajst-19199	53	41	)	)	PUNCT
ajst-19199	53	42	2det	2det	NOUN
ajst-19199	53	43	(	(	PUNCT
ajst-19199	53	44	)	)	PUNCT
ajst-19199	53	45	(	(	PUNCT
ajst-19199	53	46	2	2	X
ajst-19199	53	47	)	)	PUNCT
ajst-19199	53	48	t	t	PROPN
ajst-19199	53	49	j	j	PROPN
ajst-19199	53	50	j	j	PROPN
ajst-19199	53	51	j	j	PROPN
ajst-19199	53	52	jd	jd	PROPN
ajst-19199	53	53	j	j	PROPN
ajst-19199	54	1	j	j	PROPN
ajst-19199	54	2	p	p	X
ajst-19199	54	3	x	x	X
ajst-19199	54	4	x	x	PUNCT
ajst-19199	54	5	x	x	SYM
ajst-19199	54	6			NUM
ajst-19199	54	7			X
ajst-19199	54	8			NOUN
ajst-19199	54	9			NOUN
ajst-19199	54	10			ADJ
ajst-19199	54	11			NOUN
ajst-19199	54	12			PROPN
ajst-19199	54	13			PROPN
ajst-19199	54	14			PROPN
ajst-19199	54	15			NOUN
ajst-19199	54	16			VERB
ajst-19199	54	17			NOUN
ajst-19199	54	18			NOUN
ajst-19199	54	19			X
ajst-19199	54	20	(	(	PUNCT
ajst-19199	54	21	3	3	X
ajst-19199	54	22	)	)	PUNCT
ajst-19199	54	23	where	where	SCONJ
ajst-19199	54	24	𝑑	𝑑	NOUN
ajst-19199	54	25	is	be	AUX
ajst-19199	54	26	still	still	ADV
ajst-19199	54	27	the	the	DET
ajst-19199	54	28	dimension	dimension	NOUN
ajst-19199	54	29	of	of	ADP
ajst-19199	54	30	the	the	DET
ajst-19199	54	31	training	training	NOUN
ajst-19199	54	32	sample	sample	NOUN
ajst-19199	54	33	,	,	PUNCT
ajst-19199	54	34	𝛼	𝛼	PROPN
ajst-19199	54	35	is	be	AUX
ajst-19199	54	36	the	the	DET
ajst-19199	54	37	mixing	mixing	NOUN
ajst-19199	54	38	parameter	parameter	NOUN
ajst-19199	54	39	,	,	PUNCT
ajst-19199	54	40	𝜇	𝜇	X
ajst-19199	54	41	and	and	CCONJ
ajst-19199	54	42	∑	∑	ADV
ajst-19199	54	43	are	be	AUX
ajst-19199	54	44	the	the	DET
ajst-19199	54	45	mean	mean	NOUN
ajst-19199	54	46	as	as	ADV
ajst-19199	54	47	well	well	ADV
ajst-19199	54	48	as	as	ADP
ajst-19199	54	49	the	the	DET
ajst-19199	54	50	covariance	covariance	NOUN
ajst-19199	54	51	matrix	matrix	NOUN
ajst-19199	54	52	of	of	ADP
ajst-19199	54	53	the	the	DET
ajst-19199	54	54	𝑗	𝑗	INTJ
ajst-19199	54	55	th	th	X
ajst-19199	54	56	component	component	NOUN
ajst-19199	54	57	in	in	ADP
ajst-19199	54	58	the	the	DET
ajst-19199	54	59	training	training	NOUN
ajst-19199	54	60	sample	sample	NOUN
ajst-19199	54	61	,	,	PUNCT
ajst-19199	54	62	and	and	CCONJ
ajst-19199	54	63	𝛾	𝛾	PROPN
ajst-19199	54	64	is	be	AUX
ajst-19199	54	65	the	the	DET
ajst-19199	54	66	number	number	NOUN
ajst-19199	54	67	of	of	ADP
ajst-19199	54	68	mixing	mix	VERB
ajst-19199	54	69	components	component	NOUN
ajst-19199	54	70	,	,	PUNCT
ajst-19199	54	71	and	and	CCONJ
ajst-19199	54	72	finally	finally	ADV
ajst-19199	54	73	,	,	PUNCT
ajst-19199	54	74	the	the	DET
ajst-19199	54	75	maximization	maximization	NOUN
ajst-19199	54	76	of	of	ADP
ajst-19199	54	77	expectation	expectation	NOUN
ajst-19199	54	78	is	be	AUX
ajst-19199	54	79	used	use	VERB
ajst-19199	54	80	to	to	PART
ajst-19199	54	81	optimize	optimize	VERB
ajst-19199	54	82	the	the	DET
ajst-19199	54	83	parameters	parameter	NOUN
ajst-19199	54	84	,	,	PUNCT
ajst-19199	54	85	and	and	CCONJ
ajst-19199	54	86	then	then	ADV
ajst-19199	54	87	according	accord	VERB
ajst-19199	54	88	to	to	ADP
ajst-19199	54	89	the	the	DET
ajst-19199	54	90	conditional	conditional	ADJ
ajst-19199	54	91	probability	probability	NOUN
ajst-19199	54	92	of	of	ADP
ajst-19199	54	93	the	the	DET
ajst-19199	54	94	test	test	NOUN
ajst-19199	54	95	samples	sample	NOUN
ajst-19199	54	96	as	as	ADV
ajst-19199	54	97	well	well	ADV
ajst-19199	54	98	as	as	ADP
ajst-19199	54	99	the	the	DET
ajst-19199	54	100	thresholds	threshold	NOUN
ajst-19199	54	101	during	during	ADP
ajst-19199	54	102	the	the	DET
ajst-19199	54	103	testing	testing	NOUN
ajst-19199	54	104	process	process	NOUN
ajst-19199	54	105	,	,	PUNCT
ajst-19199	54	106	the	the	DET
ajst-19199	54	107	detection	detection	NOUN
ajst-19199	54	108	of	of	ADP
ajst-19199	54	109	abnormal	abnormal	ADJ
ajst-19199	54	110	sound	sound	NOUN
ajst-19199	54	111	is	be	AUX
ajst-19199	54	112	carried	carry	VERB
ajst-19199	54	113	out	out	ADP
ajst-19199	54	114	.	.	PUNCT
ajst-19199	55	1	however	however	ADV
ajst-19199	55	2	,	,	PUNCT
ajst-19199	55	3	the	the	DET
ajst-19199	55	4	shortcoming	shortcoming	NOUN
ajst-19199	55	5	of	of	ADP
ajst-19199	55	6	this	this	DET
ajst-19199	55	7	method	method	NOUN
ajst-19199	55	8	is	be	AUX
ajst-19199	55	9	that	that	SCONJ
ajst-19199	55	10	the	the	DET
ajst-19199	55	11	mixture	mixture	NOUN
ajst-19199	55	12	components	component	NOUN
ajst-19199	55	13	are	be	AUX
ajst-19199	55	14	too	too	ADV
ajst-19199	55	15	data	data	NOUN
ajst-19199	55	16	-	-	PUNCT
ajst-19199	55	17	dependent	dependent	ADJ
ajst-19199	55	18	,	,	PUNCT
ajst-19199	55	19	and	and	CCONJ
ajst-19199	55	20	it	it	PRON
ajst-19199	55	21	is	be	AUX
ajst-19199	55	22	very	very	ADV
ajst-19199	55	23	difficult	difficult	ADJ
ajst-19199	55	24	to	to	PART
ajst-19199	55	25	select	select	VERB
ajst-19199	55	26	them	they	PRON
ajst-19199	55	27	with	with	ADP
ajst-19199	55	28	a	a	DET
ajst-19199	55	29	small	small	ADJ
ajst-19199	55	30	amount	amount	NOUN
ajst-19199	55	31	of	of	ADP
ajst-19199	55	32	data	datum	NOUN
ajst-19199	55	33	,	,	PUNCT
ajst-19199	55	34	which	which	PRON
ajst-19199	55	35	is	be	AUX
ajst-19199	55	36	itself	itself	PRON
ajst-19199	55	37	a	a	DET
ajst-19199	55	38	problem	problem	NOUN
ajst-19199	55	39	in	in	ADP
ajst-19199	55	40	the	the	DET
ajst-19199	55	41	abnormal	abnormal	ADJ
ajst-19199	55	42	sound	sound	NOUN
ajst-19199	55	43	detection	detection	NOUN
ajst-19199	55	44	task	task	NOUN
ajst-19199	55	45	.	.	PUNCT
ajst-19199	56	1	2.2	2.2	NUM
ajst-19199	56	2	.	.	PUNCT
ajst-19199	57	1	anomalous	anomalous	ADJ
ajst-19199	57	2	sound	sound	NOUN
ajst-19199	57	3	detection	detection	NOUN
ajst-19199	57	4	method	method	NOUN
ajst-19199	57	5	based	base	VERB
ajst-19199	57	6	on	on	ADP
ajst-19199	57	7	support	support	NOUN
ajst-19199	57	8	domain	domain	VERB
ajst-19199	57	9	the	the	DET
ajst-19199	57	10	support	support	NOUN
ajst-19199	57	11	domain	domain	NOUN
ajst-19199	57	12	-	-	PUNCT
ajst-19199	57	13	based	base	VERB
ajst-19199	57	14	abnormal	abnormal	ADJ
ajst-19199	57	15	sound	sound	NOUN
ajst-19199	57	16	detection	detection	NOUN
ajst-19199	57	17	method	method	NOUN
ajst-19199	57	18	first	first	ADV
ajst-19199	57	19	assumes	assume	VERB
ajst-19199	57	20	a	a	DET
ajst-19199	57	21	descriptive	descriptive	ADJ
ajst-19199	57	22	shape	shape	NOUN
ajst-19199	57	23	for	for	ADP
ajst-19199	57	24	all	all	DET
ajst-19199	57	25	normal	normal	ADJ
ajst-19199	57	26	data	datum	NOUN
ajst-19199	57	27	samples	sample	NOUN
ajst-19199	57	28	.	.	PUNCT
ajst-19199	58	1	then	then	ADV
ajst-19199	58	2	,	,	PUNCT
ajst-19199	58	3	the	the	DET
ajst-19199	58	4	correct	correct	ADJ
ajst-19199	58	5	classification	classification	NOUN
ajst-19199	58	6	rate	rate	NOUN
ajst-19199	58	7	of	of	ADP
ajst-19199	58	8	the	the	DET
ajst-19199	58	9	training	training	NOUN
ajst-19199	58	10	samples	sample	NOUN
ajst-19199	58	11	is	be	AUX
ajst-19199	58	12	ensured	ensure	VERB
ajst-19199	58	13	by	by	ADP
ajst-19199	58	14	minimizing	minimize	VERB
ajst-19199	58	15	the	the	DET
ajst-19199	58	16	volume	volume	NOUN
ajst-19199	58	17	while	while	SCONJ
ajst-19199	58	18	minimizing	minimize	VERB
ajst-19199	58	19	the	the	DET
ajst-19199	58	20	misdiagnosis	misdiagnosis	NOUN
ajst-19199	58	21	probability	probability	NOUN
ajst-19199	58	22	of	of	ADP
ajst-19199	58	23	the	the	DET
ajst-19199	58	24	abnormal	abnormal	ADJ
ajst-19199	58	25	samples	sample	NOUN
ajst-19199	58	26	,	,	PUNCT
ajst-19199	58	27	subject	subject	ADJ
ajst-19199	58	28	to	to	ADP
ajst-19199	58	29	a	a	DET
ajst-19199	58	30	given	give	VERB
ajst-19199	58	31	empirical	empirical	ADJ
ajst-19199	58	32	error	error	NOUN
ajst-19199	58	33	.	.	PUNCT
ajst-19199	59	1	this	this	DET
ajst-19199	59	2	approach	approach	NOUN
ajst-19199	59	3	aims	aim	VERB
ajst-19199	59	4	to	to	PART
ajst-19199	59	5	improve	improve	VERB
ajst-19199	59	6	the	the	DET
ajst-19199	59	7	performance	performance	NOUN
ajst-19199	59	8	of	of	ADP
ajst-19199	59	9	the	the	DET
ajst-19199	59	10	anomalous	anomalous	ADJ
ajst-19199	59	11	sound	sound	NOUN
ajst-19199	59	12	detection	detection	NOUN
ajst-19199	59	13	classifier	classifier	NOUN
ajst-19199	59	14	by	by	ADP
ajst-19199	59	15	shifting	shift	VERB
ajst-19199	59	16	it	it	PRON
ajst-19199	59	17	upwards	upwards	ADV
ajst-19199	59	18	on	on	ADP
ajst-19199	59	19	the	the	DET
ajst-19199	59	20	roc	roc	PROPN
ajst-19199	59	21	curve	curve	NOUN
ajst-19199	59	22	,	,	PUNCT
ajst-19199	59	23	which	which	PRON
ajst-19199	59	24	in	in	ADP
ajst-19199	59	25	turn	turn	NOUN
ajst-19199	59	26	improves	improve	VERB
ajst-19199	59	27	the	the	DET
ajst-19199	59	28	detection	detection	NOUN
ajst-19199	59	29	performance	performance	NOUN
ajst-19199	59	30	.	.	PUNCT
ajst-19199	60	1	classical	classical	ADJ
ajst-19199	60	2	approaches	approach	NOUN
ajst-19199	60	3	include	include	VERB
ajst-19199	60	4	single	single	ADJ
ajst-19199	60	5	-	-	PUNCT
ajst-19199	60	6	class	class	NOUN
ajst-19199	60	7	support	support	NOUN
ajst-19199	60	8	vector	vector	NOUN
ajst-19199	60	9	machines	machine	NOUN
ajst-19199	60	10	,	,	PUNCT
ajst-19199	60	11	support	support	VERB
ajst-19199	60	12	vector	vector	NOUN
ajst-19199	60	13	data	datum	NOUN
ajst-19199	60	14	description	description	NOUN
ajst-19199	60	15	,	,	PUNCT
ajst-19199	60	16	etc	etc	X
ajst-19199	60	17	.	.	X
ajst-19199	61	1	support	support	NOUN
ajst-19199	61	2	vector	vector	NOUN
ajst-19199	61	3	machine	machine	NOUN
ajst-19199	61	4	(	(	PUNCT
ajst-19199	61	5	svm	svm	PROPN
ajst-19199	61	6	)	)	PUNCT
ajst-19199	61	7	is	be	AUX
ajst-19199	61	8	a	a	DET
ajst-19199	61	9	very	very	ADV
ajst-19199	61	10	classical	classical	ADJ
ajst-19199	61	11	twoclass	twoclass	NOUN
ajst-19199	61	12	classification	classification	NOUN
ajst-19199	61	13	method	method	NOUN
ajst-19199	61	14	,	,	PUNCT
ajst-19199	61	15	which	which	PRON
ajst-19199	61	16	segregates	segregate	VERB
ajst-19199	61	17	the	the	DET
ajst-19199	61	18	data	data	NOUN
ajst-19199	61	19	samples	sample	NOUN
ajst-19199	61	20	used	use	VERB
ajst-19199	61	21	for	for	ADP
ajst-19199	61	22	training	training	NOUN
ajst-19199	61	23	by	by	ADP
ajst-19199	61	24	finding	find	VERB
ajst-19199	61	25	a	a	DET
ajst-19199	61	26	hyperplane	hyperplane	NOUN
ajst-19199	61	27	with	with	ADP
ajst-19199	61	28	the	the	DET
ajst-19199	61	29	largest	large	ADJ
ajst-19199	61	30	classification	classification	NOUN
ajst-19199	61	31	interval	interval	NOUN
ajst-19199	61	32	[	[	X
ajst-19199	61	33	15	15	NUM
ajst-19199	61	34	]	]	PUNCT
ajst-19199	61	35	.	.	PUNCT
ajst-19199	62	1	in	in	ADP
ajst-19199	62	2	the	the	DET
ajst-19199	62	3	field	field	NOUN
ajst-19199	62	4	of	of	ADP
ajst-19199	62	5	anomalous	anomalous	ADJ
ajst-19199	62	6	sound	sound	NOUN
ajst-19199	62	7	detection	detection	NOUN
ajst-19199	62	8	,	,	PUNCT
ajst-19199	62	9	the	the	DET
ajst-19199	62	10	original	original	ADJ
ajst-19199	62	11	support	support	NOUN
ajst-19199	62	12	vector	vector	NOUN
ajst-19199	62	13	machine	machine	NOUN
ajst-19199	62	14	is	be	AUX
ajst-19199	62	15	no	no	ADV
ajst-19199	62	16	longer	long	ADV
ajst-19199	62	17	suitable	suitable	ADJ
ajst-19199	62	18	for	for	ADP
ajst-19199	62	19	this	this	DET
ajst-19199	62	20	task	task	NOUN
ajst-19199	62	21	because	because	SCONJ
ajst-19199	62	22	the	the	DET
ajst-19199	62	23	data	datum	NOUN
ajst-19199	62	24	set	set	VERB
ajst-19199	62	25	available	available	ADJ
ajst-19199	62	26	for	for	ADP
ajst-19199	62	27	training	training	NOUN
ajst-19199	62	28	is	be	AUX
ajst-19199	62	29	generally	generally	ADV
ajst-19199	62	30	only	only	ADV
ajst-19199	62	31	one	one	NUM
ajst-19199	62	32	class	class	NOUN
ajst-19199	62	33	of	of	ADP
ajst-19199	62	34	samples	sample	NOUN
ajst-19199	62	35	.	.	PUNCT
ajst-19199	63	1	instead	instead	ADV
ajst-19199	63	2	,	,	PUNCT
ajst-19199	63	3	scholkrpf	scholkrpf	NOUN
ajst-19199	63	4	et	et	PROPN
ajst-19199	63	5	al	al	PROPN
ajst-19199	63	6	.	.	PROPN
ajst-19199	63	7	proposed	propose	VERB
ajst-19199	63	8	a	a	DET
ajst-19199	63	9	model	model	NOUN
ajst-19199	63	10	for	for	ADP
ajst-19199	63	11	anomaly	anomaly	NOUN
ajst-19199	63	12	detection	detection	NOUN
ajst-19199	63	13	based	base	VERB
ajst-19199	63	14	on	on	ADP
ajst-19199	63	15	a	a	DET
ajst-19199	63	16	one	one	NUM
ajst-19199	63	17	-	-	PUNCT
ajst-19199	63	18	class	class	NOUN
ajst-19199	63	19	svm	svm	NOUN
ajst-19199	63	20	[	[	X
ajst-19199	63	21	16	16	NUM
ajst-19199	63	22	]	]	X
ajst-19199	63	23	,	,	PUNCT
ajst-19199	63	24	which	which	PRON
ajst-19199	63	25	forms	form	VERB
ajst-19199	63	26	a	a	DET
ajst-19199	63	27	data	data	NOUN
ajst-19199	63	28	description	description	NOUN
ajst-19199	63	29	.	.	PUNCT
ajst-19199	64	1	this	this	DET
ajst-19199	64	2	one	one	NUM
ajst-19199	64	3	-	-	PUNCT
ajst-19199	64	4	class	class	NOUN
ajst-19199	64	5	support	support	NOUN
ajst-19199	64	6	vector	vector	NOUN
ajst-19199	64	7	machine	machine	NOUN
ajst-19199	64	8	has	have	VERB
ajst-19199	64	9	similar	similar	ADJ
ajst-19199	64	10	goals	goal	NOUN
ajst-19199	64	11	as	as	ADP
ajst-19199	64	12	the	the	DET
ajst-19199	64	13	original	original	ADJ
ajst-19199	64	14	support	support	NOUN
ajst-19199	64	15	vector	vector	NOUN
ajst-19199	64	16	machine	machine	NOUN
ajst-19199	64	17	;	;	PUNCT
ajst-19199	64	18	however	however	ADV
ajst-19199	64	19	,	,	PUNCT
ajst-19199	64	20	this	this	DET
ajst-19199	64	21	one	one	NUM
ajst-19199	64	22	-	-	PUNCT
ajst-19199	64	23	class	class	NOUN
ajst-19199	64	24	support	support	NOUN
ajst-19199	64	25	vector	vector	NOUN
ajst-19199	64	26	machine	machine	NOUN
ajst-19199	64	27	takes	take	VERB
ajst-19199	64	28	the	the	DET
ajst-19199	64	29	origin	origin	NOUN
ajst-19199	64	30	as	as	ADP
ajst-19199	64	31	the	the	DET
ajst-19199	64	32	only	only	ADJ
ajst-19199	64	33	anomaly	anomaly	NOUN
ajst-19199	64	34	,	,	PUNCT
ajst-19199	64	35	and	and	CCONJ
ajst-19199	64	36	then	then	ADV
ajst-19199	64	37	looks	look	VERB
ajst-19199	64	38	for	for	ADP
ajst-19199	64	39	a	a	DET
ajst-19199	64	40	hyperplane	hyperplane	NOUN
ajst-19199	64	41	that	that	PRON
ajst-19199	64	42	separates	separate	VERB
ajst-19199	64	43	the	the	DET
ajst-19199	64	44	samples	sample	NOUN
ajst-19199	64	45	used	use	VERB
ajst-19199	64	46	for	for	ADP
ajst-19199	64	47	training	training	NOUN
ajst-19199	64	48	and	and	CCONJ
ajst-19199	64	49	the	the	DET
ajst-19199	64	50	origin	origin	NOUN
ajst-19199	64	51	with	with	ADP
ajst-19199	64	52	a	a	DET
ajst-19199	64	53	maximum	maximum	ADJ
ajst-19199	64	54	interval	interval	NOUN
ajst-19199	64	55	.	.	PUNCT
ajst-19199	65	1	like	like	ADP
ajst-19199	65	2	the	the	DET
ajst-19199	65	3	original	original	ADJ
ajst-19199	65	4	support	support	NOUN
ajst-19199	65	5	vector	vector	NOUN
ajst-19199	65	6	machine	machine	NOUN
ajst-19199	65	7	,	,	PUNCT
ajst-19199	65	8	there	there	PRON
ajst-19199	65	9	are	be	VERB
ajst-19199	65	10	soft	soft	ADJ
ajst-19199	65	11	-	-	PUNCT
ajst-19199	65	12	spaced	space	VERB
ajst-19199	65	13	and	and	CCONJ
ajst-19199	65	14	hard	hard	ADV
ajst-19199	65	15	-	-	PUNCT
ajst-19199	65	16	spaced	space	VERB
ajst-19199	65	17	unclassified	unclassified	ADJ
ajst-19199	65	18	support	support	NOUN
ajst-19199	65	19	vector	vector	NOUN
ajst-19199	65	20	machines	machine	NOUN
ajst-19199	65	21	,	,	PUNCT
ajst-19199	65	22	where	where	SCONJ
ajst-19199	65	23	the	the	DET
ajst-19199	65	24	hard	hard	ADV
ajst-19199	65	25	-	-	PUNCT
ajst-19199	65	26	spaced	space	VERB
ajst-19199	65	27	unclassified	unclassified	ADJ
ajst-19199	65	28	support	support	NOUN
ajst-19199	65	29	vector	vector	NOUN
ajst-19199	65	30	machine	machine	NOUN
ajst-19199	65	31	requires	require	VERB
ajst-19199	65	32	that	that	SCONJ
ajst-19199	65	33	all	all	DET
ajst-19199	65	34	training	training	NOUN
ajst-19199	65	35	samples	sample	NOUN
ajst-19199	65	36	be	be	VERB
ajst-19199	65	37	on	on	ADP
ajst-19199	65	38	the	the	DET
ajst-19199	65	39	positive	positive	ADJ
ajst-19199	65	40	half	half	NOUN
ajst-19199	65	41	of	of	ADP
ajst-19199	65	42	this	this	DET
ajst-19199	65	43	hyperplane	hyperplane	NOUN
ajst-19199	65	44	,	,	PUNCT
ajst-19199	65	45	whereas	whereas	SCONJ
ajst-19199	65	46	the	the	DET
ajst-19199	65	47	soft	soft	ADJ
ajst-19199	65	48	-	-	PUNCT
ajst-19199	65	49	spaced	space	VERB
ajst-19199	65	50	unclassified	unclassified	ADJ
ajst-19199	65	51	support	support	NOUN
ajst-19199	65	52	vector	vector	NOUN
ajst-19199	65	53	machine	machine	NOUN
ajst-19199	65	54	does	do	AUX
ajst-19199	65	55	not	not	PART
ajst-19199	65	56	have	have	VERB
ajst-19199	65	57	such	such	DET
ajst-19199	65	58	a	a	DET
ajst-19199	65	59	requirement	requirement	NOUN
ajst-19199	65	60	but	but	CCONJ
ajst-19199	65	61	the	the	DET
ajst-19199	65	62	soft	soft	ADJ
ajst-19199	65	63	-	-	PUNCT
ajst-19199	65	64	spaced	space	VERB
ajst-19199	65	65	support	support	NOUN
ajst-19199	65	66	vector	vector	NOUN
ajst-19199	65	67	machine	machine	NOUN
ajst-19199	65	68	penalizes	penalize	VERB
ajst-19199	65	69	the	the	DET
ajst-19199	65	70	data	data	NOUN
ajst-19199	65	71	sample	sample	NOUN
ajst-19199	65	72	points	point	NOUN
ajst-19199	65	73	that	that	PRON
ajst-19199	65	74	fall	fall	VERB
ajst-19199	65	75	on	on	ADP
ajst-19199	65	76	the	the	DET
ajst-19199	65	77	other	other	ADJ
ajst-19199	65	78	half	half	NOUN
ajst-19199	65	79	of	of	ADP
ajst-19199	65	80	the	the	DET
ajst-19199	65	81	hyperplane	hyperplane	NOUN
ajst-19199	65	82	based	base	VERB
ajst-19199	65	83	on	on	ADP
ajst-19199	65	84	the	the	DET
ajst-19199	65	85	distance	distance	NOUN
ajst-19199	65	86	of	of	ADP
ajst-19199	65	87	that	that	DET
ajst-19199	65	88	data	datum	NOUN
ajst-19199	65	89	sample	sample	NOUN
ajst-19199	65	90	's	's	PART
ajst-19199	65	91	distance	distance	NOUN
ajst-19199	65	92	to	to	ADP
ajst-19199	65	93	the	the	DET
ajst-19199	65	94	hyperplane	hyperplane	NOUN
ajst-19199	65	95	,	,	PUNCT
ajst-19199	65	96	which	which	PRON
ajst-19199	65	97	can	can	AUX
ajst-19199	65	98	be	be	AUX
ajst-19199	65	99	solved	solve	VERB
ajst-19199	65	100	by	by	ADP
ajst-19199	65	101	the	the	DET
ajst-19199	65	102	problem	problem	NOUN
ajst-19199	65	103	of	of	ADP
ajst-19199	65	104	eq	eq	NOUN
ajst-19199	65	105	(	(	PUNCT
ajst-19199	65	106	5	5	NUM
ajst-19199	65	107	)	)	PUNCT
ajst-19199	65	108	:	:	PUNCT
ajst-19199	65	109	2	2	NUM
ajst-19199	65	110	1	1	NUM
ajst-19199	65	111	1	1	NUM
ajst-19199	65	112	min	min	NOUN
ajst-19199	65	113	2	2	NUM
ajst-19199	65	114	.	.	PUNCT
ajst-19199	65	115	.	.	PUNCT
ajst-19199	66	1	0	0	NUM
ajst-19199	66	2	,	,	PUNCT
ajst-19199	66	3	n	n	PRON
ajst-19199	67	1	i	i	PRON
ajst-19199	67	2	i	i	PRON
ajst-19199	68	1	i	i	PRON
ajst-19199	68	2	i	i	PRON
ajst-19199	69	1	i	i	VERB
ajst-19199	70	1	w	w	VERB
ajst-19199	70	2	c	c	PROPN
ajst-19199	70	3	b	b	PROPN
ajst-19199	70	4	s	s	PROPN
ajst-19199	70	5	t	t	PROPN
ajst-19199	70	6	w	w	PROPN
ajst-19199	70	7	x	x	PROPN
ajst-19199	70	8	b	b	NOUN
ajst-19199	70	9	i	i	PRON
ajst-19199	70	10			VERB
ajst-19199	70	11			VERB
ajst-19199	70	12			NOUN
ajst-19199	70	13			NUM
ajst-19199	70	14			ADJ
ajst-19199	70	15			PROPN
ajst-19199	70	16			NUM
ajst-19199	70	17			PROPN
ajst-19199	70	18			NUM
ajst-19199	70	19			NOUN
ajst-19199	70	20			PRON
ajst-19199	70	21			PROPN
ajst-19199	70	22			NUM
ajst-19199	70	23	(	(	PUNCT
ajst-19199	70	24	5	5	NUM
ajst-19199	70	25	)	)	PUNCT
ajst-19199	70	26	where	where	SCONJ
ajst-19199	70	27	𝑤	𝑤	X
ajst-19199	70	28	is	be	AUX
ajst-19199	70	29	the	the	DET
ajst-19199	70	30	normal	normal	ADJ
ajst-19199	70	31	vector	vector	NOUN
ajst-19199	70	32	of	of	ADP
ajst-19199	70	33	the	the	DET
ajst-19199	70	34	hyperplane	hyperplane	NOUN
ajst-19199	70	35	and	and	CCONJ
ajst-19199	70	36	𝑏	𝑏	PROPN
ajst-19199	70	37	is	be	AUX
ajst-19199	70	38	the	the	DET
ajst-19199	70	39	intercept	intercept	NOUN
ajst-19199	70	40	of	of	ADP
ajst-19199	70	41	the	the	DET
ajst-19199	70	42	hyperplane	hyperplane	NOUN
ajst-19199	70	43	to	to	PART
ajst-19199	70	44	be	be	AUX
ajst-19199	70	45	searched	search	VERB
ajst-19199	70	46	.	.	PUNCT
ajst-19199	71	1	the	the	DET
ajst-19199	71	2	empirical	empirical	ADJ
ajst-19199	71	3	error	error	NOUN
ajst-19199	71	4	and	and	CCONJ
ajst-19199	71	5	the	the	DET
ajst-19199	71	6	interval	interval	NOUN
ajst-19199	71	7	1/∥	1/∥	NUM
ajst-19199	71	8	𝑤	𝑤	ADP
ajst-19199	71	9	∥	∥	X
ajst-19199	71	10	between	between	ADP
ajst-19199	71	11	the	the	DET
ajst-19199	71	12	hyperplane	hyperplane	NOUN
ajst-19199	71	13	and	and	CCONJ
ajst-19199	71	14	the	the	DET
ajst-19199	71	15	origin	origin	NOUN
ajst-19199	71	16	are	be	AUX
ajst-19199	71	17	compromised	compromise	VERB
ajst-19199	71	18	by	by	ADP
ajst-19199	71	19	a	a	DET
ajst-19199	71	20	regularization	regularization	NOUN
ajst-19199	71	21	factor	factor	NOUN
ajst-19199	71	22	𝐶.	𝐶.	PROPN
ajst-19199	71	23	support	support	NOUN
ajst-19199	71	24	vector	vector	NOUN
ajst-19199	71	25	data	datum	NOUN
ajst-19199	71	26	description	description	NOUN
ajst-19199	71	27	(	(	PUNCT
ajst-19199	71	28	svdd	svdd	PROPN
ajst-19199	71	29	)	)	PUNCT
ajst-19199	71	30	is	be	AUX
ajst-19199	71	31	mainly	mainly	ADV
ajst-19199	71	32	used	use	VERB
ajst-19199	71	33	to	to	PART
ajst-19199	71	34	solve	solve	VERB
ajst-19199	71	35	the	the	DET
ajst-19199	71	36	problem	problem	NOUN
ajst-19199	71	37	of	of	ADP
ajst-19199	71	38	possible	possible	ADJ
ajst-19199	71	39	looseness	looseness	NOUN
ajst-19199	71	40	of	of	ADP
ajst-19199	71	41	data	datum	NOUN
ajst-19199	71	42	description	description	NOUN
ajst-19199	71	43	in	in	ADP
ajst-19199	71	44	half	half	ADJ
ajst-19199	71	45	-	-	PUNCT
ajst-19199	71	46	space	space	NOUN
ajst-19199	71	47	in	in	ADP
ajst-19199	71	48	single	single	ADJ
ajst-19199	71	49	-	-	PUNCT
ajst-19199	71	50	classification	classification	NOUN
ajst-19199	71	51	support	support	NOUN
ajst-19199	71	52	vector	vector	NOUN
ajst-19199	71	53	machines	machine	NOUN
ajst-19199	71	54	,	,	PUNCT
ajst-19199	71	55	the	the	DET
ajst-19199	71	56	method	method	NOUN
ajst-19199	71	57	mainly	mainly	ADV
ajst-19199	71	58	focuses	focus	VERB
ajst-19199	71	59	on	on	ADP
ajst-19199	71	60	finding	find	VERB
ajst-19199	71	61	a	a	DET
ajst-19199	71	62	spherical	spherical	ADJ
ajst-19199	71	63	description	description	NOUN
ajst-19199	71	64	of	of	ADP
ajst-19199	71	65	the	the	DET
ajst-19199	71	66	data	datum	NOUN
ajst-19199	71	67	,	,	PUNCT
ajst-19199	71	68	which	which	PRON
ajst-19199	71	69	surrounds	surround	VERB
ajst-19199	71	70	as	as	ADV
ajst-19199	71	71	much	much	ADJ
ajst-19199	71	72	as	as	ADP
ajst-19199	71	73	possible	possible	ADJ
ajst-19199	71	74	all	all	DET
ajst-19199	71	75	the	the	DET
ajst-19199	71	76	normal	normal	ADJ
ajst-19199	71	77	data	datum	NOUN
ajst-19199	71	78	training	training	NOUN
ajst-19199	71	79	samples	sample	NOUN
ajst-19199	71	80	used	use	VERB
ajst-19199	71	81	for	for	ADP
ajst-19199	71	82	training	training	NOUN
ajst-19199	71	83	,	,	PUNCT
ajst-19199	71	84	and	and	CCONJ
ajst-19199	71	85	at	at	ADP
ajst-19199	71	86	the	the	DET
ajst-19199	71	87	same	same	ADJ
ajst-19199	71	88	time	time	NOUN
ajst-19199	71	89	minimizes	minimize	VERB
ajst-19199	71	90	the	the	DET
ajst-19199	71	91	volume	volume	NOUN
ajst-19199	71	92	of	of	ADP
ajst-19199	71	93	this	this	DET
ajst-19199	71	94	volume	volume	NOUN
ajst-19199	71	95	of	of	ADP
ajst-19199	71	96	the	the	DET
ajst-19199	71	97	hypersphere	hypersphere	NOUN
ajst-19199	72	1	[	[	X
ajst-19199	72	2	17	17	NUM
ajst-19199	72	3	]	]	PUNCT
ajst-19199	72	4	.	.	PUNCT
ajst-19199	73	1	with	with	ADP
ajst-19199	73	2	this	this	DET
ajst-19199	73	3	idea	idea	NOUN
ajst-19199	73	4	,	,	PUNCT
ajst-19199	73	5	the	the	DET
ajst-19199	73	6	minimal	minimal	ADJ
ajst-19199	73	7	enclosing	enclosing	NOUN
ajst-19199	73	8	ball	ball	NOUN
ajst-19199	73	9	(	(	PUNCT
ajst-19199	73	10	meb	meb	PROPN
ajst-19199	73	11	)	)	PUNCT
ajst-19199	73	12	method	method	NOUN
ajst-19199	73	13	uses	use	VERB
ajst-19199	73	14	a	a	DET
ajst-19199	73	15	hard	hard	ADJ
ajst-19199	73	16	spacing	space	VERB
ajst-19199	73	17	approach	approach	NOUN
ajst-19199	73	18	,	,	PUNCT
ajst-19199	73	19	so	so	SCONJ
ajst-19199	73	20	the	the	DET
ajst-19199	73	21	meb	meb	PROPN
ajst-19199	73	22	method	method	NOUN
ajst-19199	73	23	is	be	AUX
ajst-19199	73	24	susceptible	susceptible	ADJ
ajst-19199	73	25	to	to	ADP
ajst-19199	73	26	wild	wild	ADJ
ajst-19199	73	27	-	-	PUNCT
ajst-19199	73	28	value	value	NOUN
ajst-19199	73	29	points	point	NOUN
ajst-19199	73	30	and	and	CCONJ
ajst-19199	73	31	fails	fail	VERB
ajst-19199	73	32	to	to	PART
ajst-19199	73	33	find	find	VERB
ajst-19199	73	34	the	the	DET
ajst-19199	73	35	smallest	small	ADJ
ajst-19199	73	36	hypersphere	hypersphere	NOUN
ajst-19199	74	1	[	[	X
ajst-19199	74	2	18	18	NUM
ajst-19199	74	3	]	]	PUNCT
ajst-19199	74	4	.	.	PUNCT
ajst-19199	75	1	in	in	ADP
ajst-19199	75	2	order	order	NOUN
ajst-19199	75	3	to	to	PART
ajst-19199	75	4	avoid	avoid	VERB
ajst-19199	75	5	the	the	DET
ajst-19199	75	6	harm	harm	NOUN
ajst-19199	75	7	caused	cause	VERB
ajst-19199	75	8	by	by	ADP
ajst-19199	75	9	such	such	ADJ
ajst-19199	75	10	wild	wild	ADJ
ajst-19199	75	11	-	-	PUNCT
ajst-19199	75	12	value	value	NOUN
ajst-19199	75	13	points	point	NOUN
ajst-19199	75	14	,	,	PUNCT
ajst-19199	75	15	the	the	DET
ajst-19199	75	16	support	support	NOUN
ajst-19199	75	17	vector	vector	NOUN
ajst-19199	75	18	data	datum	NOUN
ajst-19199	75	19	description	description	NOUN
ajst-19199	75	20	method	method	NOUN
ajst-19199	75	21	uses	use	VERB
ajst-19199	75	22	soft	soft	ADJ
ajst-19199	75	23	spacing	spacing	NOUN
ajst-19199	75	24	,	,	PUNCT
ajst-19199	75	25	which	which	PRON
ajst-19199	75	26	does	do	AUX
ajst-19199	75	27	not	not	PART
ajst-19199	75	28	strictly	strictly	ADV
ajst-19199	75	29	require	require	VERB
ajst-19199	75	30	that	that	SCONJ
ajst-19199	75	31	the	the	DET
ajst-19199	75	32	squared	square	VERB
ajst-19199	75	33	distance	distance	NOUN
ajst-19199	75	34	from	from	ADP
ajst-19199	75	35	the	the	DET
ajst-19199	75	36	training	training	NOUN
ajst-19199	75	37	samples	sample	NOUN
ajst-19199	75	38	to	to	ADP
ajst-19199	75	39	the	the	DET
ajst-19199	75	40	center	center	NOUN
ajst-19199	75	41	of	of	ADP
ajst-19199	75	42	the	the	DET
ajst-19199	75	43	hypersphere	hypersphere	NOUN
ajst-19199	75	44	is	be	AUX
ajst-19199	75	45	less	less	ADJ
ajst-19199	75	46	than	than	ADP
ajst-19199	75	47	,	,	PUNCT
ajst-19199	75	48	but	but	CCONJ
ajst-19199	75	49	adopts	adopt	VERB
ajst-19199	75	50	the	the	DET
ajst-19199	75	51	same	same	ADJ
ajst-19199	75	52	penalization	penalization	NOUN
ajst-19199	75	53	mechanism	mechanism	NOUN
ajst-19199	75	54	as	as	ADP
ajst-19199	75	55	the	the	DET
ajst-19199	75	56	soft	soft	ADJ
ajst-19199	75	57	spacing	space	VERB
ajst-19199	75	58	classification	classification	NOUN
ajst-19199	75	59	in	in	ADP
ajst-19199	75	60	the	the	DET
ajst-19199	75	61	unclassified	unclassified	ADJ
ajst-19199	75	62	support	support	NOUN
ajst-19199	75	63	vector	vector	NOUN
ajst-19199	75	64	machine	machine	NOUN
ajst-19199	75	65	,	,	PUNCT
ajst-19199	75	66	which	which	PRON
ajst-19199	75	67	penalizes	penalize	VERB
ajst-19199	75	68	normal	normal	ADJ
ajst-19199	75	69	samples	sample	NOUN
ajst-19199	75	70	used	use	VERB
ajst-19199	75	71	for	for	ADP
ajst-19199	75	72	training	training	NOUN
ajst-19199	75	73	for	for	ADP
ajst-19199	75	74	a	a	DET
ajst-19199	75	75	squared	square	VERB
ajst-19199	75	76	distance	distance	NOUN
ajst-19199	75	77	greater	great	ADJ
ajst-19199	75	78	than	than	ADP
ajst-19199	75	79	the	the	DET
ajst-19199	75	80	squared	square	VERB
ajst-19199	75	81	distance	distance	NOUN
ajst-19199	75	82	from	from	ADP
ajst-19199	75	83	the	the	DET
ajst-19199	75	84	center	center	NOUN
ajst-19199	75	85	of	of	ADP
ajst-19199	75	86	the	the	DET
ajst-19199	75	87	hypersphere	hypersphere	NOUN
ajst-19199	75	88	,	,	PUNCT
ajst-19199	75	89	and	and	CCONJ
ajst-19199	75	90	introduces	introduce	VERB
ajst-19199	75	91	a	a	DET
ajst-19199	75	92	relaxation	relaxation	NOUN
ajst-19199	75	93	variable	variable	NOUN
ajst-19199	75	94	to	to	PART
ajst-19199	75	95	relax	relax	VERB
ajst-19199	75	96	all	all	DET
ajst-19199	75	97	training	training	NOUN
ajst-19199	75	98	samples	sample	NOUN
ajst-19199	75	99	,	,	PUNCT
ajst-19199	75	100	making	make	VERB
ajst-19199	75	101	the	the	DET
ajst-19199	75	102	original	original	ADJ
ajst-19199	75	103	conceptual	conceptual	ADJ
ajst-19199	75	104	constraint	constraint	NOUN
ajst-19199	75	105	that	that	PRON
ajst-19199	75	106	all	all	DET
ajst-19199	75	107	data	datum	NOUN
ajst-19199	75	108	samples	sample	NOUN
ajst-19199	75	109	used	use	VERB
ajst-19199	75	110	for	for	ADP
ajst-19199	75	111	training	training	NOUN
ajst-19199	75	112	should	should	AUX
ajst-19199	75	113	be	be	AUX
ajst-19199	75	114	inside	inside	ADP
ajst-19199	75	115	the	the	DET
ajst-19199	75	116	hypersphere	hypersphere	NOUN
ajst-19199	75	117	less	less	ADV
ajst-19199	75	118	strict	strict	ADJ
ajst-19199	75	119	and	and	CCONJ
ajst-19199	75	120	allowing	allow	VERB
ajst-19199	75	121	a	a	DET
ajst-19199	75	122	small	small	ADJ
ajst-19199	75	123	fraction	fraction	NOUN
ajst-19199	75	124	of	of	ADP
ajst-19199	75	125	training	training	NOUN
ajst-19199	75	126	samples	sample	NOUN
ajst-19199	75	127	to	to	PART
ajst-19199	75	128	fall	fall	VERB
ajst-19199	75	129	outside	outside	ADP
ajst-19199	75	130	the	the	DET
ajst-19199	75	131	sphere	sphere	NOUN
ajst-19199	75	132	of	of	ADP
ajst-19199	75	133	the	the	DET
ajst-19199	75	134	hypersphere	hypersphere	NOUN
ajst-19199	75	135	.	.	PUNCT
ajst-19199	76	1	the	the	DET
ajst-19199	76	2	optimization	optimization	NOUN
ajst-19199	76	3	of	of	ADP
ajst-19199	76	4	the	the	DET
ajst-19199	76	5	soft	soft	ADJ
ajst-19199	76	6	-	-	PUNCT
ajst-19199	76	7	spaced	space	VERB
ajst-19199	76	8	svdd	svdd	NOUN
ajst-19199	76	9	is	be	AUX
ajst-19199	76	10	shown	show	VERB
ajst-19199	76	11	in	in	ADP
ajst-19199	76	12	equation	equation	NOUN
ajst-19199	76	13	(	(	PUNCT
ajst-19199	76	14	6	6	NUM
ajst-19199	76	15	)	)	PUNCT
ajst-19199	76	16	：	：	PUNCT
ajst-19199	76	17	2	2	NUM
ajst-19199	76	18	1	1	NUM
ajst-19199	76	19	2	2	NUM
ajst-19199	76	20	2	2	NUM
ajst-19199	76	21	min	min	NOUN
ajst-19199	76	22	.	.	PUNCT
ajst-19199	76	23	.	.	PUNCT
ajst-19199	77	1	,	,	PUNCT
ajst-19199	77	2	0	0	NUM
ajst-19199	77	3	,	,	PUNCT
ajst-19199	77	4	n	n	CCONJ
ajst-19199	78	1	i	i	PRON
ajst-19199	78	2	i	i	PRON
ajst-19199	79	1	i	i	PRON
ajst-19199	80	1	i	i	INTJ
ajst-19199	81	1	i	i	VERB
ajst-19199	82	1	r	r	VERB
ajst-19199	82	2	c	c	NOUN
ajst-19199	82	3	s	s	PROPN
ajst-19199	82	4	t	t	NOUN
ajst-19199	82	5	x	x	PUNCT
ajst-19199	82	6	a	a	DET
ajst-19199	82	7	r	r	NOUN
ajst-19199	82	8	i	i	PRON
ajst-19199	82	9			NOUN
ajst-19199	82	10			VERB
ajst-19199	82	11			NOUN
ajst-19199	82	12			NUM
ajst-19199	82	13			ADJ
ajst-19199	82	14			PROPN
ajst-19199	82	15			PROPN
ajst-19199	82	16			ADV
ajst-19199	82	17			NUM
ajst-19199	82	18			VERB
ajst-19199	82	19			X
ajst-19199	82	20			PROPN
ajst-19199	82	21			PROPN
ajst-19199	82	22	(	(	PUNCT
ajst-19199	82	23	6	6	NUM
ajst-19199	82	24	)	)	PUNCT
ajst-19199	82	25	here	here	ADV
ajst-19199	83	1	𝑎	𝑎	PRON
ajst-19199	83	2	denotes	denote	NOUN
ajst-19199	83	3	the	the	DET
ajst-19199	83	4	center	center	NOUN
ajst-19199	83	5	of	of	ADP
ajst-19199	83	6	the	the	DET
ajst-19199	83	7	hypersphere	hypersphere	PROPN
ajst-19199	83	8	and	and	CCONJ
ajst-19199	83	9	𝐶	𝐶	PROPN
ajst-19199	83	10	is	be	AUX
ajst-19199	83	11	the	the	DET
ajst-19199	83	12	regularization	regularization	NOUN
ajst-19199	83	13	factor	factor	NOUN
ajst-19199	83	14	.	.	PUNCT
ajst-19199	84	1	by	by	ADP
ajst-19199	84	2	lagrange	lagrange	NOUN
ajst-19199	84	3	multiplier	multipli	ADJ
ajst-19199	84	4	method	method	NOUN
ajst-19199	84	5	,	,	PUNCT
ajst-19199	84	6	the	the	DET
ajst-19199	84	7	dyadic	dyadic	ADJ
ajst-19199	84	8	problem	problem	NOUN
ajst-19199	84	9	of	of	ADP
ajst-19199	84	10	the	the	DET
ajst-19199	84	11	above	above	ADJ
ajst-19199	84	12	problem	problem	NOUN
ajst-19199	84	13	can	can	AUX
ajst-19199	84	14	be	be	AUX
ajst-19199	84	15	obtained	obtain	VERB
ajst-19199	84	16	,	,	PUNCT
ajst-19199	84	17	and	and	CCONJ
ajst-19199	84	18	the	the	DET
ajst-19199	84	19	above	above	ADJ
ajst-19199	84	20	minimal	minimal	ADJ
ajst-19199	84	21	-	-	PUNCT
ajst-19199	84	22	extremely	extremely	ADV
ajst-19199	84	23	large	large	ADJ
ajst-19199	84	24	problem	problem	NOUN
ajst-19199	84	25	can	can	AUX
ajst-19199	84	26	be	be	AUX
ajst-19199	84	27	transformed	transform	VERB
ajst-19199	84	28	into	into	ADP
ajst-19199	84	29	a	a	DET
ajst-19199	84	30	convex	convex	ADJ
ajst-19199	84	31	quadratic	quadratic	ADJ
ajst-19199	84	32	programming	programming	NOUN
ajst-19199	84	33	problem	problem	NOUN
ajst-19199	84	34	and	and	CCONJ
ajst-19199	84	35	its	its	PRON
ajst-19199	84	36	dyadic	dyadic	NOUN
ajst-19199	84	37	𝑎	𝑎	PROPN
ajst-19199	84	38	∑	∑	PART
ajst-19199	84	39	𝛼	𝛼	PART
ajst-19199	84	40	𝑥	𝑥	PRON
ajst-19199	84	41	representation	representation	NOUN
ajst-19199	84	42	can	can	AUX
ajst-19199	84	43	lead	lead	VERB
ajst-19199	84	44	to	to	ADP
ajst-19199	84	45	the	the	DET
ajst-19199	84	46	sparsity	sparsity	NOUN
ajst-19199	84	47	of	of	ADP
ajst-19199	84	48	the	the	DET
ajst-19199	84	49	sphere	sphere	NOUN
ajst-19199	84	50	's	's	PART
ajst-19199	84	51	center	center	NOUN
ajst-19199	84	52	,	,	PUNCT
ajst-19199	84	53	which	which	PRON
ajst-19199	84	54	improves	improve	VERB
ajst-19199	84	55	the	the	DET
ajst-19199	84	56	testing	testing	NOUN
ajst-19199	84	57	performance	performance	NOUN
ajst-19199	84	58	of	of	ADP
ajst-19199	84	59	this	this	DET
ajst-19199	84	60	model	model	NOUN
ajst-19199	84	61	.	.	PUNCT
ajst-19199	85	1	the	the	DET
ajst-19199	85	2	striped	striped	ADJ
ajst-19199	85	3	data	data	NOUN
ajst-19199	85	4	description	description	NOUN
ajst-19199	85	5	(	(	PUNCT
ajst-19199	85	6	slab	slab	NOUN
ajst-19199	85	7	svm	svm	PROPN
ajst-19199	85	8	)	)	PUNCT
ajst-19199	85	9	method	method	NOUN
ajst-19199	85	10	is	be	AUX
ajst-19199	85	11	implemented	implement	VERB
ajst-19199	85	12	by	by	ADP
ajst-19199	85	13	adding	add	VERB
ajst-19199	85	14	more	more	ADJ
ajst-19199	85	15	constraints	constraint	NOUN
ajst-19199	85	16	on	on	ADP
ajst-19199	85	17	top	top	NOUN
ajst-19199	85	18	of	of	ADP
ajst-19199	85	19	the	the	DET
ajst-19199	85	20	single	single	ADJ
ajst-19199	85	21	classification	classification	NOUN
ajst-19199	85	22	support	support	NOUN
ajst-19199	85	23	vector	vector	NOUN
ajst-19199	85	24	machine	machine	NOUN
ajst-19199	85	25	(	(	PUNCT
ajst-19199	85	26	scsvm	scsvm	PROPN
ajst-19199	85	27	)	)	PUNCT
ajst-19199	86	1	[	[	X
ajst-19199	86	2	19	19	NUM
ajst-19199	86	3	]	]	PUNCT
ajst-19199	86	4	.	.	PUNCT
ajst-19199	87	1	the	the	DET
ajst-19199	87	2	slab	slab	NOUN
ajst-19199	87	3	svm	svm	NOUN
ajst-19199	87	4	proposed	propose	VERB
ajst-19199	87	5	by	by	ADP
ajst-19199	87	6	scholkopf	scholkopf	PROPN
ajst-19199	87	7	et	et	PROPN
ajst-19199	87	8	al	al	PROPN
ajst-19199	87	9	.	.	PUNCT
ajst-19199	88	1	when	when	SCONJ
ajst-19199	88	2	they	they	PRON
ajst-19199	88	3	solved	solve	VERB
ajst-19199	88	4	the	the	DET
ajst-19199	88	5	hyperplane	hyperplane	NOUN
ajst-19199	88	6	of	of	ADP
ajst-19199	88	7	the	the	DET
ajst-19199	88	8	scsvm	scsvm	NOUN
ajst-19199	88	9	,	,	PUNCT
ajst-19199	88	10	since	since	SCONJ
ajst-19199	88	11	the	the	DET
ajst-19199	88	12	scsvm	scsvm	NOUN
ajst-19199	88	13	uses	use	VERB
ajst-19199	88	14	a	a	DET
ajst-19199	88	15	hyperplane	hyperplane	NOUN
ajst-19199	88	16	to	to	PART
ajst-19199	88	17	separate	separate	VERB
ajst-19199	88	18	the	the	DET
ajst-19199	88	19	normal	normal	ADJ
ajst-19199	88	20	data	data	NOUN
ajst-19199	88	21	samples	sample	NOUN
ajst-19199	88	22	in	in	ADP
ajst-19199	88	23	the	the	DET
ajst-19199	88	24	dataset	dataset	NOUN
ajst-19199	88	25	from	from	ADP
ajst-19199	88	26	the	the	DET
ajst-19199	88	27	far	far	ADJ
ajst-19199	88	28	point	point	NOUN
ajst-19199	88	29	,	,	PUNCT
ajst-19199	88	30	but	but	CCONJ
ajst-19199	88	31	the	the	DET
ajst-19199	88	32	other	other	ADJ
ajst-19199	88	33	side	side	NOUN
ajst-19199	88	34	has	have	VERB
ajst-19199	88	35	no	no	DET
ajst-19199	88	36	special	special	ADJ
ajst-19199	88	37	constraints	constraint	NOUN
ajst-19199	88	38	,	,	PUNCT
ajst-19199	88	39	so	so	SCONJ
ajst-19199	88	40	they	they	PRON
ajst-19199	88	41	built	build	VERB
ajst-19199	88	42	on	on	ADP
ajst-19199	88	43	this	this	PRON
ajst-19199	88	44	by	by	ADP
ajst-19199	88	45	using	use	VERB
ajst-19199	88	46	a	a	DET
ajst-19199	88	47	hyperplane	hyperplane	NOUN
ajst-19199	88	48	on	on	ADP
ajst-19199	88	49	the	the	DET
ajst-19199	88	50	other	other	ADJ
ajst-19199	88	51	side	side	NOUN
ajst-19199	88	52	of	of	ADP
ajst-19199	88	53	the	the	DET
ajst-19199	88	54	data	datum	NOUN
ajst-19199	88	55	to	to	PART
ajst-19199	88	56	constrain	constrain	VERB
ajst-19199	88	57	the	the	DET
ajst-19199	88	58	target	target	NOUN
ajst-19199	88	59	as	as	ADV
ajst-19199	88	60	well	well	ADV
ajst-19199	88	61	,	,	PUNCT
ajst-19199	88	62	so	so	SCONJ
ajst-19199	88	63	that	that	SCONJ
ajst-19199	88	64	the	the	DET
ajst-19199	88	65	data	datum	NOUN
ajst-19199	88	66	used	use	VERB
ajst-19199	88	67	for	for	ADP
ajst-19199	88	68	training	training	NOUN
ajst-19199	88	69	will	will	AUX
ajst-19199	88	70	fall	fall	VERB
ajst-19199	88	71	in	in	ADP
ajst-19199	88	72	a	a	DET
ajst-19199	88	73	strip	strip	NOUN
ajst-19199	88	74	,	,	PUNCT
ajst-19199	88	75	and	and	CCONJ
ajst-19199	88	76	their	their	PRON
ajst-19199	88	77	problem	problem	NOUN
ajst-19199	88	78	can	can	AUX
ajst-19199	88	79	be	be	AUX
ajst-19199	88	80	described	describe	VERB
ajst-19199	88	81	by	by	ADP
ajst-19199	88	82	eq	eq	ADJ
ajst-19199	88	83	(	(	PUNCT
ajst-19199	88	84	7	7	NUM
ajst-19199	88	85	):	):	PUNCT
ajst-19199	88	86	𝑚𝑖𝑛	𝑚𝑖𝑛	NOUN
ajst-19199	88	87	∥	∥	NOUN
ajst-19199	88	88	𝑤	𝑤	ADP
ajst-19199	88	89	∥	∥	PUNCT
ajst-19199	88	90	𝐶	𝐶	PROPN
ajst-19199	88	91	∑	∑	PUNCT
ajst-19199	88	92	𝜉	𝜉	ADP
ajst-19199	88	93	𝜉∗	𝜉∗	NOUN
ajst-19199	89	1	𝑏	𝑏	NOUN
ajst-19199	89	2	𝜒	𝜒	NOUN
ajst-19199	89	3	𝜉	𝜉	NOUN
ajst-19199	89	4	𝑤	𝑤	ADP
ajst-19199	89	5	∙	∙	PROPN
ajst-19199	89	6	𝑥	𝑥	X
ajst-19199	89	7	𝑏	𝑏	NOUN
ajst-19199	89	8	𝜒	𝜒	NUM
ajst-19199	89	9	𝜉∗	𝜉∗	NOUN
ajst-19199	89	10	𝜉	𝜉	ADP
ajst-19199	89	11	0	0	NUM
ajst-19199	89	12	,	,	PUNCT
ajst-19199	89	13	𝜉∗	𝜉∗	NOUN
ajst-19199	89	14	0	0	NUM
ajst-19199	89	15	(	(	PUNCT
ajst-19199	89	16	7	7	NUM
ajst-19199	89	17	)	)	PUNCT
ajst-19199	89	18	where	where	SCONJ
ajst-19199	89	19	𝜒	𝜒	NOUN
ajst-19199	89	20	and	and	CCONJ
ajst-19199	89	21	𝜒∗	𝜒∗	NOUN
ajst-19199	89	22	are	be	AUX
ajst-19199	89	23	fixed	fix	VERB
ajst-19199	89	24	parameters	parameter	NOUN
ajst-19199	89	25	used	use	VERB
ajst-19199	89	26	to	to	PART
ajst-19199	89	27	determine	determine	VERB
ajst-19199	89	28	the	the	DET
ajst-19199	89	29	width	width	NOUN
ajst-19199	89	30	of	of	ADP
ajst-19199	89	31	the	the	DET
ajst-19199	89	32	entire	entire	ADJ
ajst-19199	89	33	strip	strip	NOUN
ajst-19199	89	34	,	,	PUNCT
ajst-19199	89	35	and	and	CCONJ
ajst-19199	89	36	𝜉	𝜉	NOUN
ajst-19199	89	37	and	and	CCONJ
ajst-19199	89	38	𝜉∗	𝜉∗	NOUN
ajst-19199	89	39	are	be	AUX
ajst-19199	89	40	slack	slack	NOUN
ajst-19199	89	41	variables	variable	NOUN
ajst-19199	89	42	.	.	PUNCT
ajst-19199	90	1	through	through	ADP
ajst-19199	90	2	the	the	DET
ajst-19199	90	3	description	description	NOUN
ajst-19199	90	4	of	of	ADP
ajst-19199	90	5	the	the	DET
ajst-19199	90	6	above	above	ADJ
ajst-19199	90	7	problem	problem	NOUN
ajst-19199	90	8	,	,	PUNCT
ajst-19199	90	9	a	a	DET
ajst-19199	90	10	strip	strip	NOUN
ajst-19199	90	11	space	space	NOUN
ajst-19199	90	12	in	in	ADP
ajst-19199	90	13	the	the	DET
ajst-19199	90	14	feature	feature	NOUN
ajst-19199	90	15	space	space	NOUN
ajst-19199	90	16	in	in	ADP
ajst-19199	90	17	which	which	PRON
ajst-19199	90	18	the	the	DET
ajst-19199	90	19	features	feature	NOUN
ajst-19199	90	20	of	of	ADP
ajst-19199	90	21	the	the	DET
ajst-19199	90	22	training	training	NOUN
ajst-19199	90	23	samples	sample	NOUN
ajst-19199	90	24	are	be	AUX
ajst-19199	90	25	located	locate	VERB
ajst-19199	90	26	can	can	AUX
ajst-19199	90	27	be	be	AUX
ajst-19199	90	28	found	find	VERB
ajst-19199	90	29	,	,	PUNCT
ajst-19199	90	30	and	and	CCONJ
ajst-19199	90	31	then	then	ADV
ajst-19199	90	32	based	base	VERB
ajst-19199	90	33	on	on	ADP
ajst-19199	90	34	such	such	DET
ajst-19199	90	35	a	a	DET
ajst-19199	90	36	data	data	NOUN
ajst-19199	90	37	description	description	NOUN
ajst-19199	90	38	,	,	PUNCT
ajst-19199	90	39	after	after	SCONJ
ajst-19199	90	40	the	the	DET
ajst-19199	90	41	test	test	NOUN
ajst-19199	90	42	samples	sample	NOUN
ajst-19199	90	43	are	be	AUX
ajst-19199	90	44	modelled	model	VERB
ajst-19199	90	45	using	use	VERB
ajst-19199	90	46	this	this	DET
ajst-19199	90	47	model	model	NOUN
ajst-19199	90	48	,	,	PUNCT
ajst-19199	90	49	all	all	DET
ajst-19199	90	50	the	the	DET
ajst-19199	90	51	test	test	NOUN
ajst-19199	90	52	data	datum	NOUN
ajst-19199	90	53	that	that	PRON
ajst-19199	90	54	are	be	AUX
ajst-19199	90	55	outside	outside	ADP
ajst-19199	90	56	of	of	ADP
ajst-19199	90	57	the	the	DET
ajst-19199	90	58	strip	strip	NOUN
ajst-19199	90	59	can	can	AUX
ajst-19199	90	60	be	be	AUX
ajst-19199	90	61	regarded	regard	VERB
ajst-19199	90	62	as	as	ADP
ajst-19199	90	63	indeterminate	indeterminate	ADJ
ajst-19199	90	64	,	,	PUNCT
ajst-19199	90	65	which	which	PRON
ajst-19199	90	66	can	can	AUX
ajst-19199	90	67	be	be	AUX
ajst-19199	90	68	judged	judge	VERB
ajst-19199	90	69	as	as	ADP
ajst-19199	90	70	anomalous	anomalous	ADJ
ajst-19199	90	71	data	data	NOUN
ajst-19199	90	72	samples	sample	NOUN
ajst-19199	90	73	.	.	PUNCT
ajst-19199	91	1	270	270	NUM
ajst-19199	91	2	2.3	2.3	NUM
ajst-19199	91	3	.	.	PUNCT
ajst-19199	92	1	detection	detection	NOUN
ajst-19199	92	2	methods	method	NOUN
ajst-19199	92	3	based	base	VERB
ajst-19199	92	4	on	on	ADP
ajst-19199	92	5	deep	deep	ADJ
ajst-19199	92	6	learning	learning	NOUN
ajst-19199	92	7	methods	method	NOUN
ajst-19199	92	8	abnormal	abnormal	ADJ
ajst-19199	92	9	sound	sound	NOUN
ajst-19199	92	10	detection	detection	NOUN
ajst-19199	92	11	task	task	NOUN
ajst-19199	92	12	based	base	VERB
ajst-19199	92	13	on	on	ADP
ajst-19199	92	14	deep	deep	ADJ
ajst-19199	92	15	learning	learning	NOUN
ajst-19199	92	16	is	be	AUX
ajst-19199	92	17	a	a	DET
ajst-19199	92	18	kind	kind	NOUN
ajst-19199	92	19	of	of	ADP
ajst-19199	92	20	abnormal	abnormal	ADJ
ajst-19199	92	21	sound	sound	NOUN
ajst-19199	92	22	detection	detection	NOUN
ajst-19199	92	23	method	method	NOUN
ajst-19199	92	24	that	that	PRON
ajst-19199	92	25	has	have	AUX
ajst-19199	92	26	been	be	AUX
ajst-19199	92	27	developed	develop	VERB
ajst-19199	92	28	more	more	ADV
ajst-19199	92	29	rapidly	rapidly	ADV
ajst-19199	92	30	in	in	ADP
ajst-19199	92	31	recent	recent	ADJ
ajst-19199	92	32	years	year	NOUN
ajst-19199	92	33	,	,	PUNCT
ajst-19199	92	34	and	and	CCONJ
ajst-19199	92	35	this	this	DET
ajst-19199	92	36	method	method	NOUN
ajst-19199	92	37	usually	usually	ADV
ajst-19199	92	38	uses	use	VERB
ajst-19199	92	39	deep	deep	ADJ
ajst-19199	92	40	neural	neural	ADJ
ajst-19199	92	41	networks	network	NOUN
ajst-19199	92	42	to	to	PART
ajst-19199	92	43	learn	learn	VERB
ajst-19199	92	44	the	the	DET
ajst-19199	92	45	representation	representation	NOUN
ajst-19199	92	46	of	of	ADP
ajst-19199	92	47	sound	sound	NOUN
ajst-19199	92	48	from	from	ADP
ajst-19199	92	49	a	a	DET
ajst-19199	92	50	large	large	ADJ
ajst-19199	92	51	amount	amount	NOUN
ajst-19199	92	52	of	of	ADP
ajst-19199	92	53	audio	audio	ADJ
ajst-19199	92	54	data	datum	NOUN
ajst-19199	92	55	,	,	PUNCT
ajst-19199	92	56	and	and	CCONJ
ajst-19199	92	57	in	in	ADP
ajst-19199	92	58	this	this	DET
ajst-19199	92	59	way	way	NOUN
ajst-19199	92	60	,	,	PUNCT
ajst-19199	92	61	to	to	PART
ajst-19199	92	62	achieve	achieve	VERB
ajst-19199	92	63	the	the	DET
ajst-19199	92	64	detection	detection	NOUN
ajst-19199	92	65	of	of	ADP
ajst-19199	92	66	abnormal	abnormal	ADJ
ajst-19199	92	67	sound	sound	NOUN
ajst-19199	92	68	.	.	PUNCT
ajst-19199	93	1	due	due	ADP
ajst-19199	93	2	to	to	ADP
ajst-19199	93	3	the	the	DET
ajst-19199	93	4	specificity	specificity	NOUN
ajst-19199	93	5	of	of	ADP
ajst-19199	93	6	the	the	DET
ajst-19199	93	7	abnormal	abnormal	ADJ
ajst-19199	93	8	sound	sound	NOUN
ajst-19199	93	9	detection	detection	NOUN
ajst-19199	93	10	task	task	NOUN
ajst-19199	93	11	and	and	CCONJ
ajst-19199	93	12	the	the	DET
ajst-19199	93	13	difficulty	difficulty	NOUN
ajst-19199	93	14	of	of	ADP
ajst-19199	93	15	acquiring	acquire	VERB
ajst-19199	93	16	abnormal	abnormal	ADJ
ajst-19199	93	17	sound	sound	NOUN
ajst-19199	93	18	datasets	dataset	NOUN
ajst-19199	93	19	,	,	PUNCT
ajst-19199	93	20	most	most	ADJ
ajst-19199	93	21	of	of	ADP
ajst-19199	93	22	the	the	DET
ajst-19199	93	23	methods	method	NOUN
ajst-19199	93	24	based	base	VERB
ajst-19199	93	25	on	on	ADP
ajst-19199	93	26	deep	deep	ADJ
ajst-19199	93	27	learning	learning	NOUN
ajst-19199	93	28	to	to	PART
ajst-19199	93	29	implement	implement	VERB
ajst-19199	93	30	abnormal	abnormal	ADJ
ajst-19199	93	31	sound	sound	NOUN
ajst-19199	93	32	detection	detection	NOUN
ajst-19199	93	33	systems	system	NOUN
ajst-19199	93	34	are	be	AUX
ajst-19199	93	35	also	also	ADV
ajst-19199	93	36	based	base	VERB
ajst-19199	93	37	on	on	ADP
ajst-19199	93	38	unsupervised	unsupervised	ADJ
ajst-19199	93	39	learning	learning	NOUN
ajst-19199	93	40	.	.	PUNCT
ajst-19199	94	1	several	several	ADJ
ajst-19199	94	2	common	common	ADJ
ajst-19199	94	3	neural	neural	ADJ
ajst-19199	94	4	networks	network	NOUN
ajst-19199	94	5	most	most	ADV
ajst-19199	94	6	commonly	commonly	ADV
ajst-19199	94	7	used	use	VERB
ajst-19199	94	8	in	in	ADP
ajst-19199	94	9	this	this	DET
ajst-19199	94	10	abnormal	abnormal	ADJ
ajst-19199	94	11	sound	sound	NOUN
ajst-19199	94	12	detection	detection	NOUN
ajst-19199	94	13	task	task	NOUN
ajst-19199	94	14	include	include	VERB
ajst-19199	94	15	full	full	ADJ
ajst-19199	94	16	convolutional	convolutional	ADJ
ajst-19199	94	17	neural	neural	ADJ
ajst-19199	94	18	networks	network	NOUN
ajst-19199	94	19	,	,	PUNCT
ajst-19199	94	20	auto	auto	NOUN
ajst-19199	94	21	-	-	PUNCT
ajst-19199	94	22	encoder	encoder	NOUN
ajst-19199	94	23	(	(	PUNCT
ajst-19199	94	24	ae	ae	PROPN
ajst-19199	94	25	)	)	PUNCT
ajst-19199	94	26	,	,	PUNCT
ajst-19199	94	27	and	and	CCONJ
ajst-19199	94	28	so	so	ADV
ajst-19199	94	29	on	on	ADP
ajst-19199	94	30	[	[	PUNCT
ajst-19199	94	31	20	20	NUM
ajst-19199	94	32	]	]	PUNCT
ajst-19199	94	33	.	.	PUNCT
ajst-19199	95	1	these	these	DET
ajst-19199	95	2	neural	neural	ADJ
ajst-19199	95	3	networks	network	NOUN
ajst-19199	95	4	are	be	AUX
ajst-19199	95	5	usually	usually	ADV
ajst-19199	95	6	composed	compose	VERB
ajst-19199	95	7	of	of	ADP
ajst-19199	95	8	an	an	DET
ajst-19199	95	9	encoder	encoder	NOUN
ajst-19199	95	10	and	and	CCONJ
ajst-19199	95	11	a	a	DET
ajst-19199	95	12	decoder	decoder	NOUN
ajst-19199	95	13	,	,	PUNCT
ajst-19199	95	14	where	where	SCONJ
ajst-19199	95	15	the	the	DET
ajst-19199	95	16	encoder	encoder	NOUN
ajst-19199	95	17	is	be	AUX
ajst-19199	95	18	used	use	VERB
ajst-19199	95	19	for	for	ADP
ajst-19199	95	20	feature	feature	NOUN
ajst-19199	95	21	extraction	extraction	NOUN
ajst-19199	95	22	from	from	ADP
ajst-19199	95	23	the	the	DET
ajst-19199	95	24	audio	audio	ADJ
ajst-19199	95	25	data	datum	NOUN
ajst-19199	95	26	and	and	CCONJ
ajst-19199	95	27	the	the	DET
ajst-19199	95	28	decoder	decoder	NOUN
ajst-19199	95	29	maps	map	VERB
ajst-19199	95	30	the	the	DET
ajst-19199	95	31	extracted	extract	VERB
ajst-19199	95	32	features	feature	NOUN
ajst-19199	95	33	to	to	ADP
ajst-19199	95	34	the	the	DET
ajst-19199	95	35	original	original	ADJ
ajst-19199	95	36	data	datum	NOUN
ajst-19199	95	37	space	space	NOUN
ajst-19199	95	38	.	.	PUNCT
ajst-19199	96	1	deep	deep	ADJ
ajst-19199	96	2	learning	learning	NOUN
ajst-19199	96	3	based	base	VERB
ajst-19199	96	4	anomalous	anomalous	ADJ
ajst-19199	96	5	sound	sound	NOUN
ajst-19199	96	6	detection	detection	NOUN
ajst-19199	96	7	schemes	scheme	NOUN
ajst-19199	96	8	have	have	VERB
ajst-19199	96	9	high	high	ADJ
ajst-19199	96	10	accuracy	accuracy	NOUN
ajst-19199	96	11	and	and	CCONJ
ajst-19199	96	12	robustness	robustness	NOUN
ajst-19199	96	13	for	for	ADP
ajst-19199	96	14	a	a	DET
ajst-19199	96	15	variety	variety	NOUN
ajst-19199	96	16	of	of	ADP
ajst-19199	96	17	anomalous	anomalous	ADJ
ajst-19199	96	18	sound	sound	NOUN
ajst-19199	96	19	detection	detection	NOUN
ajst-19199	96	20	tasks	task	NOUN
ajst-19199	96	21	,	,	PUNCT
ajst-19199	96	22	but	but	CCONJ
ajst-19199	96	23	deep	deep	ADJ
ajst-19199	96	24	learning	learning	NOUN
ajst-19199	96	25	-	-	PUNCT
ajst-19199	96	26	based	base	VERB
ajst-19199	96	27	methods	method	NOUN
ajst-19199	96	28	require	require	VERB
ajst-19199	96	29	a	a	DET
ajst-19199	96	30	large	large	ADJ
ajst-19199	96	31	amount	amount	NOUN
ajst-19199	96	32	of	of	ADP
ajst-19199	96	33	data	datum	NOUN
ajst-19199	96	34	for	for	ADP
ajst-19199	96	35	training	training	NOUN
ajst-19199	96	36	to	to	PART
ajst-19199	96	37	obtain	obtain	VERB
ajst-19199	96	38	a	a	DET
ajst-19199	96	39	data	data	NOUN
ajst-19199	96	40	representation	representation	NOUN
ajst-19199	96	41	of	of	ADP
ajst-19199	96	42	normal	normal	ADJ
ajst-19199	96	43	class	class	NOUN
ajst-19199	96	44	audio	audio	NOUN
ajst-19199	96	45	data	datum	NOUN
ajst-19199	96	46	,	,	PUNCT
ajst-19199	96	47	and	and	CCONJ
ajst-19199	96	48	the	the	DET
ajst-19199	96	49	interpretability	interpretability	NOUN
ajst-19199	96	50	of	of	ADP
ajst-19199	96	51	the	the	DET
ajst-19199	96	52	model	model	NOUN
ajst-19199	96	53	is	be	AUX
ajst-19199	96	54	relatively	relatively	ADV
ajst-19199	96	55	poor	poor	ADJ
ajst-19199	96	56	,	,	PUNCT
ajst-19199	96	57	which	which	PRON
ajst-19199	96	58	makes	make	VERB
ajst-19199	96	59	it	it	PRON
ajst-19199	96	60	difficult	difficult	ADJ
ajst-19199	96	61	to	to	PART
ajst-19199	96	62	interpret	interpret	VERB
ajst-19199	96	63	and	and	CCONJ
ajst-19199	96	64	correct	correct	VERB
ajst-19199	96	65	the	the	DET
ajst-19199	96	66	prediction	prediction	NOUN
ajst-19199	96	67	results	result	NOUN
ajst-19199	96	68	of	of	ADP
ajst-19199	96	69	the	the	DET
ajst-19199	96	70	model	model	NOUN
ajst-19199	97	1	[	[	X
ajst-19199	97	2	21	21	NUM
ajst-19199	97	3	-	-	SYM
ajst-19199	97	4	22	22	NUM
ajst-19199	97	5	]	]	PUNCT
ajst-19199	97	6	.	.	PUNCT
ajst-19199	98	1	in	in	ADP
ajst-19199	98	2	practice	practice	NOUN
ajst-19199	98	3	,	,	PUNCT
ajst-19199	98	4	anomalous	anomalous	ADJ
ajst-19199	98	5	sound	sound	NOUN
ajst-19199	98	6	detection	detection	NOUN
ajst-19199	98	7	tasks	task	NOUN
ajst-19199	98	8	can	can	AUX
ajst-19199	98	9	be	be	AUX
ajst-19199	98	10	used	use	VERB
ajst-19199	98	11	in	in	ADP
ajst-19199	98	12	many	many	ADJ
ajst-19199	98	13	fields	field	NOUN
ajst-19199	98	14	,	,	PUNCT
ajst-19199	98	15	such	such	ADJ
ajst-19199	98	16	as	as	ADP
ajst-19199	98	17	safety	safety	NOUN
ajst-19199	98	18	and	and	CCONJ
ajst-19199	98	19	security	security	NOUN
ajst-19199	98	20	fields	field	NOUN
ajst-19199	98	21	,	,	PUNCT
ajst-19199	98	22	health	health	NOUN
ajst-19199	98	23	monitoring	monitoring	NOUN
ajst-19199	98	24	of	of	ADP
ajst-19199	98	25	equipment	equipment	NOUN
ajst-19199	98	26	,	,	PUNCT
ajst-19199	98	27	environmental	environmental	ADJ
ajst-19199	98	28	monitoring	monitoring	NOUN
ajst-19199	98	29	,	,	PUNCT
ajst-19199	98	30	medical	medical	ADJ
ajst-19199	98	31	diagnosis	diagnosis	NOUN
ajst-19199	98	32	,	,	PUNCT
ajst-19199	98	33	and	and	CCONJ
ajst-19199	98	34	so	so	ADV
ajst-19199	98	35	on	on	ADP
ajst-19199	98	36	[	[	PUNCT
ajst-19199	98	37	23	23	NUM
ajst-19199	98	38	-	-	SYM
ajst-19199	98	39	24	24	NUM
ajst-19199	98	40	]	]	PUNCT
ajst-19199	98	41	.	.	PUNCT
ajst-19199	99	1	it	it	PRON
ajst-19199	99	2	can	can	AUX
ajst-19199	99	3	help	help	VERB
ajst-19199	99	4	people	people	NOUN
ajst-19199	99	5	better	well	ADV
ajst-19199	99	6	understand	understand	VERB
ajst-19199	99	7	the	the	DET
ajst-19199	99	8	audio	audio	ADJ
ajst-19199	99	9	content	content	NOUN
ajst-19199	99	10	,	,	PUNCT
ajst-19199	99	11	automate	automate	VERB
ajst-19199	99	12	the	the	DET
ajst-19199	99	13	process	process	NOUN
ajst-19199	99	14	of	of	ADP
ajst-19199	99	15	abnormal	abnormal	ADJ
ajst-19199	99	16	sound	sound	NOUN
ajst-19199	99	17	detection	detection	NOUN
ajst-19199	99	18	,	,	PUNCT
ajst-19199	99	19	and	and	CCONJ
ajst-19199	99	20	achieve	achieve	VERB
ajst-19199	99	21	intelligent	intelligent	ADJ
ajst-19199	99	22	decisionmaking	decisionmaking	NOUN
ajst-19199	99	23	.	.	PUNCT
ajst-19199	100	1	however	however	ADV
ajst-19199	100	2	,	,	PUNCT
ajst-19199	100	3	abnormal	abnormal	ADJ
ajst-19199	100	4	sound	sound	NOUN
ajst-19199	100	5	detection	detection	NOUN
ajst-19199	100	6	still	still	ADV
ajst-19199	100	7	faces	face	VERB
ajst-19199	100	8	many	many	ADJ
ajst-19199	100	9	challenges	challenge	NOUN
ajst-19199	100	10	,	,	PUNCT
ajst-19199	100	11	such	such	ADJ
ajst-19199	100	12	as	as	ADP
ajst-19199	100	13	audio	audio	ADJ
ajst-19199	100	14	data	datum	NOUN
ajst-19199	100	15	is	be	AUX
ajst-19199	100	16	easily	easily	ADV
ajst-19199	100	17	affected	affect	VERB
ajst-19199	100	18	by	by	ADP
ajst-19199	100	19	environmental	environmental	ADJ
ajst-19199	100	20	noise	noise	NOUN
ajst-19199	100	21	,	,	PUNCT
ajst-19199	100	22	reverberation	reverberation	NOUN
ajst-19199	100	23	and	and	CCONJ
ajst-19199	100	24	other	other	ADJ
ajst-19199	100	25	factors	factor	NOUN
ajst-19199	100	26	,	,	PUNCT
ajst-19199	100	27	low	low	ADJ
ajst-19199	100	28	recognition	recognition	NOUN
ajst-19199	100	29	rate	rate	NOUN
ajst-19199	100	30	of	of	ADP
ajst-19199	100	31	the	the	DET
ajst-19199	100	32	algorithm	algorithm	NOUN
ajst-19199	100	33	,	,	PUNCT
ajst-19199	100	34	etc	etc	X
ajst-19199	100	35	.	.	X
ajst-19199	101	1	it	it	PRON
ajst-19199	101	2	still	still	ADV
ajst-19199	101	3	requires	require	VERB
ajst-19199	101	4	continuous	continuous	ADJ
ajst-19199	101	5	improvement	improvement	NOUN
ajst-19199	101	6	and	and	CCONJ
ajst-19199	101	7	innovation	innovation	NOUN
ajst-19199	101	8	of	of	ADP
ajst-19199	101	9	abnormal	abnormal	ADJ
ajst-19199	101	10	sound	sound	NOUN
ajst-19199	101	11	detection	detection	NOUN
ajst-19199	101	12	algorithms	algorithm	NOUN
ajst-19199	101	13	,	,	PUNCT
ajst-19199	101	14	and	and	CCONJ
ajst-19199	101	15	the	the	DET
ajst-19199	101	16	combined	combined	ADJ
ajst-19199	101	17	use	use	NOUN
ajst-19199	101	18	of	of	ADP
ajst-19199	101	19	different	different	ADJ
ajst-19199	101	20	methods	method	NOUN
ajst-19199	101	21	.	.	PUNCT
ajst-19199	102	1	3	3	X
ajst-19199	102	2	.	.	X
ajst-19199	102	3	discussion	discussion	NOUN
ajst-19199	102	4	and	and	CCONJ
ajst-19199	102	5	conclusion	conclusion	NOUN
ajst-19199	102	6	along	along	ADP
ajst-19199	102	7	with	with	ADP
ajst-19199	102	8	the	the	DET
ajst-19199	102	9	rapid	rapid	ADJ
ajst-19199	102	10	development	development	NOUN
ajst-19199	102	11	of	of	ADP
ajst-19199	102	12	deep	deep	ADJ
ajst-19199	102	13	learning	learning	NOUN
ajst-19199	102	14	technology	technology	NOUN
ajst-19199	102	15	and	and	CCONJ
ajst-19199	102	16	the	the	DET
ajst-19199	102	17	continuous	continuous	ADJ
ajst-19199	102	18	demand	demand	NOUN
ajst-19199	102	19	in	in	ADP
ajst-19199	102	20	the	the	DET
ajst-19199	102	21	field	field	NOUN
ajst-19199	102	22	of	of	ADP
ajst-19199	102	23	tunnel	tunnel	NOUN
ajst-19199	102	24	engineering	engineering	NOUN
ajst-19199	102	25	,	,	PUNCT
ajst-19199	102	26	the	the	DET
ajst-19199	102	27	combination	combination	NOUN
ajst-19199	102	28	of	of	ADP
ajst-19199	102	29	acoustic	acoustic	ADJ
ajst-19199	102	30	vibration	vibration	NOUN
ajst-19199	102	31	method	method	NOUN
ajst-19199	102	32	and	and	CCONJ
ajst-19199	102	33	deep	deep	ADJ
ajst-19199	102	34	learning	learning	NOUN
ajst-19199	102	35	shows	show	VERB
ajst-19199	102	36	great	great	ADJ
ajst-19199	102	37	potential	potential	NOUN
ajst-19199	102	38	in	in	ADP
ajst-19199	102	39	tunnel	tunnel	NOUN
ajst-19199	102	40	lining	lining	NOUN
ajst-19199	102	41	voiding	void	VERB
ajst-19199	102	42	detection	detection	NOUN
ajst-19199	102	43	.	.	PUNCT
ajst-19199	103	1	in	in	ADP
ajst-19199	103	2	the	the	DET
ajst-19199	103	3	future	future	NOUN
ajst-19199	103	4	,	,	PUNCT
ajst-19199	103	5	we	we	PRON
ajst-19199	103	6	can	can	AUX
ajst-19199	103	7	expect	expect	VERB
ajst-19199	103	8	that	that	SCONJ
ajst-19199	103	9	the	the	DET
ajst-19199	103	10	research	research	NOUN
ajst-19199	103	11	in	in	ADP
ajst-19199	103	12	this	this	DET
ajst-19199	103	13	field	field	NOUN
ajst-19199	103	14	will	will	AUX
ajst-19199	103	15	show	show	VERB
ajst-19199	103	16	the	the	DET
ajst-19199	103	17	following	follow	VERB
ajst-19199	103	18	trends	trend	NOUN
ajst-19199	103	19	:	:	PUNCT
ajst-19199	103	20	first	first	ADV
ajst-19199	103	21	,	,	PUNCT
ajst-19199	103	22	with	with	ADP
ajst-19199	103	23	the	the	DET
ajst-19199	103	24	continuous	continuous	ADJ
ajst-19199	103	25	progress	progress	NOUN
ajst-19199	103	26	of	of	ADP
ajst-19199	103	27	data	datum	NOUN
ajst-19199	103	28	collection	collection	NOUN
ajst-19199	103	29	technology	technology	NOUN
ajst-19199	103	30	and	and	CCONJ
ajst-19199	103	31	the	the	DET
ajst-19199	103	32	increase	increase	NOUN
ajst-19199	103	33	of	of	ADP
ajst-19199	103	34	data	datum	NOUN
ajst-19199	103	35	volume	volume	NOUN
ajst-19199	103	36	,	,	PUNCT
ajst-19199	103	37	the	the	DET
ajst-19199	103	38	acoustic	acoustic	ADJ
ajst-19199	103	39	vibration	vibration	NOUN
ajst-19199	103	40	method	method	NOUN
ajst-19199	103	41	combined	combine	VERB
ajst-19199	103	42	with	with	ADP
ajst-19199	103	43	deep	deep	ADJ
ajst-19199	103	44	learning	learning	NOUN
ajst-19199	103	45	for	for	ADP
ajst-19199	103	46	tunnel	tunnel	NOUN
ajst-19199	103	47	lining	lining	NOUN
ajst-19199	103	48	voiding	void	VERB
ajst-19199	103	49	detection	detection	NOUN
ajst-19199	103	50	will	will	AUX
ajst-19199	103	51	pay	pay	VERB
ajst-19199	103	52	more	more	ADJ
ajst-19199	103	53	attention	attention	NOUN
ajst-19199	103	54	to	to	ADP
ajst-19199	103	55	the	the	DET
ajst-19199	103	56	datadriven	datadriven	ADJ
ajst-19199	103	57	approach	approach	NOUN
ajst-19199	103	58	.	.	PUNCT
ajst-19199	104	1	by	by	ADP
ajst-19199	104	2	collecting	collect	VERB
ajst-19199	104	3	more	more	ADJ
ajst-19199	104	4	and	and	CCONJ
ajst-19199	104	5	more	more	ADV
ajst-19199	104	6	comprehensive	comprehensive	ADJ
ajst-19199	104	7	tunnel	tunnel	NOUN
ajst-19199	104	8	lining	line	VERB
ajst-19199	104	9	acoustic	acoustic	ADJ
ajst-19199	104	10	vibration	vibration	NOUN
ajst-19199	104	11	data	datum	NOUN
ajst-19199	104	12	and	and	CCONJ
ajst-19199	104	13	combining	combine	VERB
ajst-19199	104	14	it	it	PRON
ajst-19199	104	15	with	with	ADP
ajst-19199	104	16	deep	deep	ADJ
ajst-19199	104	17	learning	learning	NOUN
ajst-19199	104	18	models	model	NOUN
ajst-19199	104	19	for	for	ADP
ajst-19199	104	20	training	training	NOUN
ajst-19199	104	21	as	as	ADV
ajst-19199	104	22	well	well	ADV
ajst-19199	104	23	as	as	ADP
ajst-19199	104	24	optimization	optimization	NOUN
ajst-19199	104	25	,	,	PUNCT
ajst-19199	104	26	a	a	DET
ajst-19199	104	27	more	more	ADV
ajst-19199	104	28	accurate	accurate	ADJ
ajst-19199	104	29	and	and	CCONJ
ajst-19199	104	30	intelligent	intelligent	ADJ
ajst-19199	104	31	detection	detection	NOUN
ajst-19199	104	32	and	and	CCONJ
ajst-19199	104	33	assessment	assessment	NOUN
ajst-19199	104	34	of	of	ADP
ajst-19199	104	35	tunnel	tunnel	NOUN
ajst-19199	104	36	lining	lining	NOUN
ajst-19199	104	37	voiding	voiding	NOUN
ajst-19199	104	38	will	will	AUX
ajst-19199	104	39	be	be	AUX
ajst-19199	104	40	achieved	achieve	VERB
ajst-19199	104	41	.	.	PUNCT
ajst-19199	105	1	second	second	ADJ
ajst-19199	105	2	,	,	PUNCT
ajst-19199	105	3	future	future	ADJ
ajst-19199	105	4	research	research	NOUN
ajst-19199	105	5	will	will	AUX
ajst-19199	105	6	be	be	AUX
ajst-19199	105	7	devoted	devote	VERB
ajst-19199	105	8	to	to	ADP
ajst-19199	105	9	further	further	ADJ
ajst-19199	105	10	optimization	optimization	NOUN
ajst-19199	105	11	and	and	CCONJ
ajst-19199	105	12	innovation	innovation	NOUN
ajst-19199	105	13	of	of	ADP
ajst-19199	105	14	deep	deep	ADJ
ajst-19199	105	15	learning	learning	NOUN
ajst-19199	105	16	models	model	NOUN
ajst-19199	105	17	.	.	PUNCT
ajst-19199	106	1	more	more	ADV
ajst-19199	106	2	efficient	efficient	ADJ
ajst-19199	106	3	and	and	CCONJ
ajst-19199	106	4	accurate	accurate	ADJ
ajst-19199	106	5	deep	deep	ADJ
ajst-19199	106	6	learning	learning	NOUN
ajst-19199	106	7	models	model	NOUN
ajst-19199	106	8	will	will	AUX
ajst-19199	106	9	be	be	AUX
ajst-19199	106	10	designed	design	VERB
ajst-19199	106	11	to	to	PART
ajst-19199	106	12	address	address	VERB
ajst-19199	106	13	the	the	DET
ajst-19199	106	14	pending	pende	VERB
ajst-19199	106	15	problems	problem	NOUN
ajst-19199	106	16	and	and	CCONJ
ajst-19199	106	17	challenges	challenge	NOUN
ajst-19199	106	18	in	in	ADP
ajst-19199	106	19	tunnel	tunnel	NOUN
ajst-19199	106	20	lining	lining	NOUN
ajst-19199	106	21	voiding	void	VERB
ajst-19199	106	22	detection	detection	NOUN
ajst-19199	106	23	.	.	PUNCT
ajst-19199	107	1	for	for	ADP
ajst-19199	107	2	example	example	NOUN
ajst-19199	107	3	,	,	PUNCT
ajst-19199	107	4	by	by	ADP
ajst-19199	107	5	combining	combine	VERB
ajst-19199	107	6	models	model	NOUN
ajst-19199	107	7	such	such	ADJ
ajst-19199	107	8	as	as	ADP
ajst-19199	107	9	convolutional	convolutional	ADJ
ajst-19199	107	10	neural	neural	ADJ
ajst-19199	107	11	network	network	NOUN
ajst-19199	107	12	(	(	PUNCT
ajst-19199	107	13	cnn	cnn	PROPN
ajst-19199	107	14	)	)	PUNCT
ajst-19199	107	15	and	and	CCONJ
ajst-19199	107	16	recurrent	recurrent	ADJ
ajst-19199	107	17	neural	neural	ADJ
ajst-19199	107	18	network	network	NOUN
ajst-19199	107	19	(	(	PUNCT
ajst-19199	107	20	rnn	rnn	PROPN
ajst-19199	107	21	)	)	PUNCT
ajst-19199	107	22	,	,	PUNCT
ajst-19199	107	23	feature	feature	NOUN
ajst-19199	107	24	extraction	extraction	NOUN
ajst-19199	107	25	and	and	CCONJ
ajst-19199	107	26	time	time	NOUN
ajst-19199	107	27	series	series	NOUN
ajst-19199	107	28	analysis	analysis	NOUN
ajst-19199	107	29	of	of	ADP
ajst-19199	107	30	acoustic	acoustic	ADJ
ajst-19199	107	31	vibration	vibration	NOUN
ajst-19199	107	32	data	datum	NOUN
ajst-19199	107	33	will	will	AUX
ajst-19199	107	34	be	be	AUX
ajst-19199	107	35	realized	realize	VERB
ajst-19199	107	36	,	,	PUNCT
ajst-19199	107	37	so	so	SCONJ
ajst-19199	107	38	as	as	SCONJ
ajst-19199	107	39	to	to	PART
ajst-19199	107	40	improve	improve	VERB
ajst-19199	107	41	the	the	DET
ajst-19199	107	42	sensitivity	sensitivity	NOUN
ajst-19199	107	43	and	and	CCONJ
ajst-19199	107	44	accuracy	accuracy	NOUN
ajst-19199	107	45	of	of	ADP
ajst-19199	107	46	detection	detection	NOUN
ajst-19199	107	47	.	.	PUNCT
ajst-19199	108	1	in	in	ADP
ajst-19199	108	2	addition	addition	NOUN
ajst-19199	108	3	,	,	PUNCT
ajst-19199	108	4	future	future	ADJ
ajst-19199	108	5	research	research	NOUN
ajst-19199	108	6	will	will	AUX
ajst-19199	108	7	pay	pay	VERB
ajst-19199	108	8	more	more	ADJ
ajst-19199	108	9	attention	attention	NOUN
ajst-19199	108	10	to	to	ADP
ajst-19199	108	11	the	the	DET
ajst-19199	108	12	application	application	NOUN
ajst-19199	108	13	and	and	CCONJ
ajst-19199	108	14	promotion	promotion	NOUN
ajst-19199	108	15	of	of	ADP
ajst-19199	108	16	the	the	DET
ajst-19199	108	17	method	method	NOUN
ajst-19199	108	18	of	of	ADP
ajst-19199	108	19	combining	combine	VERB
ajst-19199	108	20	the	the	DET
ajst-19199	108	21	acoustic	acoustic	ADJ
ajst-19199	108	22	vibration	vibration	NOUN
ajst-19199	108	23	method	method	NOUN
ajst-19199	108	24	with	with	ADP
ajst-19199	108	25	deep	deep	ADJ
ajst-19199	108	26	learning	learning	NOUN
ajst-19199	108	27	technology	technology	NOUN
ajst-19199	108	28	in	in	ADP
ajst-19199	108	29	practical	practical	ADJ
ajst-19199	108	30	engineering	engineering	NOUN
ajst-19199	108	31	.	.	PUNCT
ajst-19199	109	1	by	by	ADP
ajst-19199	109	2	combining	combine	VERB
ajst-19199	109	3	with	with	ADP
ajst-19199	109	4	engineering	engineering	NOUN
ajst-19199	109	5	practice	practice	NOUN
ajst-19199	109	6	,	,	PUNCT
ajst-19199	109	7	the	the	DET
ajst-19199	109	8	deep	deep	ADJ
ajst-19199	109	9	learning	learning	NOUN
ajst-19199	109	10	model	model	NOUN
ajst-19199	109	11	will	will	AUX
ajst-19199	109	12	be	be	AUX
ajst-19199	109	13	applied	apply	VERB
ajst-19199	109	14	to	to	ADP
ajst-19199	109	15	the	the	DET
ajst-19199	109	16	realtime	realtime	ADJ
ajst-19199	109	17	monitoring	monitoring	NOUN
ajst-19199	109	18	,	,	PUNCT
ajst-19199	109	19	prediction	prediction	NOUN
ajst-19199	109	20	and	and	CCONJ
ajst-19199	109	21	management	management	NOUN
ajst-19199	109	22	of	of	ADP
ajst-19199	109	23	tunnel	tunnel	NOUN
ajst-19199	109	24	lining	lining	NOUN
ajst-19199	109	25	voiding	void	VERB
ajst-19199	109	26	to	to	PART
ajst-19199	109	27	provide	provide	VERB
ajst-19199	109	28	more	more	ADV
ajst-19199	109	29	reliable	reliable	ADJ
ajst-19199	109	30	and	and	CCONJ
ajst-19199	109	31	intelligent	intelligent	ADJ
ajst-19199	109	32	support	support	NOUN
ajst-19199	109	33	for	for	ADP
ajst-19199	109	34	the	the	DET
ajst-19199	109	35	safe	safe	ADJ
ajst-19199	109	36	operation	operation	NOUN
ajst-19199	109	37	of	of	ADP
ajst-19199	109	38	tunnel	tunnel	NOUN
ajst-19199	109	39	projects	project	NOUN
ajst-19199	109	40	.	.	PUNCT
ajst-19199	110	1	overall	overall	ADV
ajst-19199	110	2	,	,	PUNCT
ajst-19199	110	3	combining	combine	VERB
ajst-19199	110	4	the	the	DET
ajst-19199	110	5	acoustic	acoustic	ADJ
ajst-19199	110	6	vibration	vibration	NOUN
ajst-19199	110	7	method	method	NOUN
ajst-19199	110	8	with	with	ADP
ajst-19199	110	9	deep	deep	ADJ
ajst-19199	110	10	learning	learning	NOUN
ajst-19199	110	11	in	in	ADP
ajst-19199	110	12	the	the	DET
ajst-19199	110	13	field	field	NOUN
ajst-19199	110	14	of	of	ADP
ajst-19199	110	15	tunnel	tunnel	NOUN
ajst-19199	110	16	lining	lining	NOUN
ajst-19199	110	17	voiding	void	VERB
ajst-19199	110	18	detection	detection	NOUN
ajst-19199	110	19	has	have	VERB
ajst-19199	110	20	a	a	DET
ajst-19199	110	21	broad	broad	ADJ
ajst-19199	110	22	application	application	NOUN
ajst-19199	110	23	prospect	prospect	NOUN
ajst-19199	110	24	and	and	CCONJ
ajst-19199	110	25	development	development	NOUN
ajst-19199	110	26	space	space	NOUN
ajst-19199	110	27	.	.	PUNCT
ajst-19199	111	1	future	future	ADJ
ajst-19199	111	2	research	research	NOUN
ajst-19199	111	3	will	will	AUX
ajst-19199	111	4	focus	focus	VERB
ajst-19199	111	5	on	on	ADP
ajst-19199	111	6	three	three	NUM
ajst-19199	111	7	aspects	aspect	NOUN
ajst-19199	111	8	,	,	PUNCT
ajst-19199	111	9	namely	namely	ADV
ajst-19199	111	10	,	,	PUNCT
ajst-19199	111	11	datadriven	datadriven	ADJ
ajst-19199	111	12	,	,	PUNCT
ajst-19199	111	13	model	model	NOUN
ajst-19199	111	14	optimization	optimization	NOUN
ajst-19199	111	15	and	and	CCONJ
ajst-19199	111	16	engineering	engineering	NOUN
ajst-19199	111	17	application	application	NOUN
ajst-19199	111	18	,	,	PUNCT
ajst-19199	111	19	to	to	PART
ajst-19199	111	20	promote	promote	VERB
ajst-19199	111	21	the	the	DET
ajst-19199	111	22	continuous	continuous	ADJ
ajst-19199	111	23	innovation	innovation	NOUN
ajst-19199	111	24	and	and	CCONJ
ajst-19199	111	25	progress	progress	NOUN
ajst-19199	111	26	in	in	ADP
ajst-19199	111	27	this	this	DET
ajst-19199	111	28	field	field	NOUN
ajst-19199	111	29	,	,	PUNCT
ajst-19199	111	30	and	and	CCONJ
ajst-19199	111	31	to	to	PART
ajst-19199	111	32	make	make	VERB
ajst-19199	111	33	greater	great	ADJ
ajst-19199	111	34	contributions	contribution	NOUN
ajst-19199	111	35	to	to	ADP
ajst-19199	111	36	the	the	DET
ajst-19199	111	37	safety	safety	NOUN
ajst-19199	111	38	management	management	NOUN
ajst-19199	111	39	and	and	CCONJ
ajst-19199	111	40	development	development	NOUN
ajst-19199	111	41	of	of	ADP
ajst-19199	111	42	tunnel	tunnel	NOUN
ajst-19199	111	43	engineering	engineering	NOUN
ajst-19199	111	44	.	.	PUNCT
ajst-19199	112	1	references	reference	NOUN
ajst-19199	112	2	[	[	X
ajst-19199	112	3	1	1	NUM
ajst-19199	112	4	]	]	PUNCT
ajst-19199	112	5	xu	xu	PROPN
ajst-19199	112	6	,	,	PUNCT
ajst-19199	112	7	fei	fei	PROPN
ajst-19199	112	8	,	,	PUNCT
ajst-19199	112	9	et	et	PROPN
ajst-19199	112	10	al	al	PROPN
ajst-19199	112	11	.	.	PUNCT
ajst-19199	113	1	"	"	PUNCT
ajst-19199	113	2	detection	detection	NOUN
ajst-19199	113	3	method	method	NOUN
ajst-19199	113	4	of	of	ADP
ajst-19199	113	5	tunnel	tunnel	NOUN
ajst-19199	113	6	lining	lining	NOUN
ajst-19199	113	7	voids	voids	NOUN
ajst-19199	113	8	based	base	VERB
ajst-19199	113	9	on	on	ADP
ajst-19199	113	10	guided	guide	VERB
ajst-19199	113	11	anchoring	anchoring	NOUN
ajst-19199	113	12	mechanism	mechanism	NOUN
ajst-19199	113	13	.	.	PUNCT
ajst-19199	113	14	"	"	PUNCT
ajst-19199	114	1	computers	computer	NOUN
ajst-19199	114	2	and	and	CCONJ
ajst-19199	114	3	electrical	electrical	ADJ
ajst-19199	114	4	engineering	engineering	NOUN
ajst-19199	114	5	95	95	NUM
ajst-19199	114	6	(	(	PUNCT
ajst-19199	114	7	2021	2021	NUM
ajst-19199	114	8	):	):	PUNCT
ajst-19199	114	9	107462	107462	NUM
ajst-19199	114	10	.	.	PUNCT
ajst-19199	115	1	[	[	X
ajst-19199	115	2	2	2	NUM
ajst-19199	115	3	]	]	SYM
ajst-19199	115	4	xu	xu	PROPN
ajst-19199	115	5	,	,	PUNCT
ajst-19199	115	6	fei	fei	PROPN
ajst-19199	115	7	,	,	PUNCT
ajst-19199	115	8	et	et	PROPN
ajst-19199	115	9	al	al	PROPN
ajst-19199	115	10	.	.	PUNCT
ajst-19199	116	1	"	"	PUNCT
ajst-19199	116	2	tunnel	tunnel	VERB
ajst-19199	116	3	lining	lining	NOUN
ajst-19199	116	4	voids	voids	NOUN
ajst-19199	116	5	detection	detection	NOUN
ajst-19199	116	6	method	method	NOUN
ajst-19199	116	7	incorporating	incorporate	VERB
ajst-19199	116	8	guide	guide	NOUN
ajst-19199	116	9	anchor	anchor	NOUN
ajst-19199	116	10	mechanism	mechanism	NOUN
ajst-19199	116	11	.	.	PUNCT
ajst-19199	116	12	"	"	PUNCT
ajst-19199	117	1	international	international	ADJ
ajst-19199	117	2	symposium	symposium	NOUN
ajst-19199	117	3	on	on	ADP
ajst-19199	117	4	artificial	artificial	ADJ
ajst-19199	117	5	intelligence	intelligence	NOUN
ajst-19199	117	6	and	and	CCONJ
ajst-19199	117	7	robotics	robotic	NOUN
ajst-19199	117	8	2020	2020	NUM
ajst-19199	117	9	.	.	PUNCT
ajst-19199	118	1	vol	vol	NOUN
ajst-19199	118	2	.	.	PROPN
ajst-19199	118	3	11574	11574	NUM
ajst-19199	118	4	.	.	PUNCT
ajst-19199	119	1	spie	spie	NOUN
ajst-19199	119	2	,	,	PUNCT
ajst-19199	119	3	2020	2020	NUM
ajst-19199	119	4	.	.	PUNCT
ajst-19199	120	1	[	[	X
ajst-19199	120	2	3	3	NUM
ajst-19199	120	3	]	]	X
ajst-19199	120	4	williams	williams	PROPN
ajst-19199	120	5	,	,	PUNCT
ajst-19199	120	6	nathan	nathan	PROPN
ajst-19199	120	7	douglas	douglas	PROPN
ajst-19199	120	8	.	.	PROPN
ajst-19199	120	9	nondestructive	nondestructive	ADJ
ajst-19199	120	10	testing	testing	NOUN
ajst-19199	120	11	of	of	ADP
ajst-19199	120	12	rail	rail	NOUN
ajst-19199	120	13	tunnel	tunnel	NOUN
ajst-19199	120	14	linings	lining	NOUN
ajst-19199	120	15	.	.	PUNCT
ajst-19199	121	1	diss	diss	PROPN
ajst-19199	121	2	.	.	PROPN
ajst-19199	121	3	2014	2014	NUM
ajst-19199	121	4	.	.	PUNCT
ajst-19199	122	1	[	[	X
ajst-19199	122	2	4	4	NUM
ajst-19199	122	3	]	]	X
ajst-19199	122	4	wang	wang	PROPN
ajst-19199	122	5	,	,	PUNCT
ajst-19199	122	6	xiuling	xiuling	PROPN
ajst-19199	122	7	,	,	PUNCT
ajst-19199	122	8	et	et	PROPN
ajst-19199	122	9	al	al	PROPN
ajst-19199	122	10	.	.	PUNCT
ajst-19199	123	1	"	"	PUNCT
ajst-19199	123	2	steel	steel	NOUN
ajst-19199	123	3	fiber	fiber	NOUN
ajst-19199	123	4	reinforced	reinforce	VERB
ajst-19199	123	5	concrete	concrete	NOUN
ajst-19199	123	6	:	:	PUNCT
ajst-19199	123	7	a	a	DET
ajst-19199	123	8	review	review	NOUN
ajst-19199	123	9	of	of	ADP
ajst-19199	123	10	its	its	PRON
ajst-19199	123	11	material	material	NOUN
ajst-19199	123	12	properties	property	NOUN
ajst-19199	123	13	and	and	CCONJ
ajst-19199	123	14	usage	usage	NOUN
ajst-19199	123	15	in	in	ADP
ajst-19199	123	16	tunnel	tunnel	NOUN
ajst-19199	123	17	lining	lining	NOUN
ajst-19199	123	18	.	.	PUNCT
ajst-19199	123	19	"	"	PUNCT
ajst-19199	124	1	structures	structure	NOUN
ajst-19199	124	2	.	.	PUNCT
ajst-19199	125	1	vol	vol	NOUN
ajst-19199	125	2	.	.	PUNCT
ajst-19199	126	1	34	34	NUM
ajst-19199	126	2	.	.	PUNCT
ajst-19199	127	1	elsevier	elsevier	NOUN
ajst-19199	127	2	,	,	PUNCT
ajst-19199	127	3	2021	2021	NUM
ajst-19199	127	4	.	.	PUNCT
ajst-19199	128	1	[	[	X
ajst-19199	128	2	5	5	NUM
ajst-19199	128	3	]	]	X
ajst-19199	128	4	mcginnis	mcginnis	PROPN
ajst-19199	128	5	,	,	PUNCT
ajst-19199	128	6	michael	michael	PROPN
ajst-19199	128	7	j.	j.	PROPN
ajst-19199	128	8	,	,	PUNCT
ajst-19199	128	9	and	and	CCONJ
ajst-19199	128	10	stephen	stephen	PROPN
ajst-19199	128	11	pessiki	pessiki	PROPN
ajst-19199	128	12	.	.	PUNCT
ajst-19199	129	1	"	"	PUNCT
ajst-19199	129	2	experimental	experimental	ADJ
ajst-19199	129	3	study	study	NOUN
ajst-19199	129	4	of	of	ADP
ajst-19199	129	5	the	the	DET
ajst-19199	129	6	core	core	NOUN
ajst-19199	129	7	-	-	PUNCT
ajst-19199	129	8	drilling	drilling	NOUN
ajst-19199	129	9	method	method	NOUN
ajst-19199	129	10	for	for	ADP
ajst-19199	129	11	evaluating	evaluate	VERB
ajst-19199	129	12	in	in	ADP
ajst-19199	129	13	situ	situ	ADJ
ajst-19199	129	14	stresses	stress	NOUN
ajst-19199	129	15	in	in	ADP
ajst-19199	129	16	concrete	concrete	ADJ
ajst-19199	129	17	structures	structure	NOUN
ajst-19199	129	18	.	.	PUNCT
ajst-19199	129	19	"	"	PUNCT
ajst-19199	130	1	journal	journal	NOUN
ajst-19199	130	2	of	of	ADP
ajst-19199	130	3	materials	material	NOUN
ajst-19199	130	4	in	in	ADP
ajst-19199	130	5	civil	civil	ADJ
ajst-19199	130	6	engineering	engineering	NOUN
ajst-19199	130	7	28.2	28.2	NUM
ajst-19199	130	8	(	(	PUNCT
ajst-19199	130	9	2016	2016	NUM
ajst-19199	130	10	):	):	PUNCT
ajst-19199	130	11	04015099	04015099	NUM
ajst-19199	130	12	.	.	PUNCT
ajst-19199	131	1	[	[	X
ajst-19199	131	2	6	6	NUM
ajst-19199	131	3	]	]	PUNCT
ajst-19199	131	4	soldatenko	soldatenko	PROPN
ajst-19199	131	5	,	,	PUNCT
ajst-19199	131	6	andrey	andrey	PROPN
ajst-19199	131	7	,	,	PUNCT
ajst-19199	131	8	hong	hong	PROPN
ajst-19199	131	9	yuan	yuan	PROPN
ajst-19199	131	10	jiang	jiang	PROPN
ajst-19199	131	11	,	,	PUNCT
ajst-19199	131	12	and	and	CCONJ
ajst-19199	131	13	alexander	alexander	PROPN
ajst-19199	131	14	danilov	danilov	PROPN
ajst-19199	131	15	.	.	PUNCT
ajst-19199	132	1	"	"	PUNCT
ajst-19199	132	2	methods	method	NOUN
ajst-19199	132	3	of	of	ADP
ajst-19199	132	4	excavation	excavation	NOUN
ajst-19199	132	5	core	core	NOUN
ajst-19199	132	6	drilling	drilling	NOUN
ajst-19199	132	7	.	.	PUNCT
ajst-19199	132	8	"	"	PUNCT
ajst-19199	132	9	applied	apply	VERB
ajst-19199	132	10	mechanics	mechanic	NOUN
ajst-19199	132	11	and	and	CCONJ
ajst-19199	132	12	materials	material	NOUN
ajst-19199	132	13	90	90	NUM
ajst-19199	132	14	(	(	PUNCT
ajst-19199	132	15	2011	2011	NUM
ajst-19199	132	16	):	):	PUNCT
ajst-19199	132	17	3015	3015	NUM
ajst-19199	132	18	-	-	SYM
ajst-19199	132	19	3025	3025	NUM
ajst-19199	132	20	.	.	PUNCT
ajst-19199	133	1	[	[	X
ajst-19199	133	2	7	7	X
ajst-19199	133	3	]	]	X
ajst-19199	133	4	liu	liu	PROPN
ajst-19199	133	5	,	,	PUNCT
ajst-19199	133	6	bin	bin	PROPN
ajst-19199	133	7	,	,	PUNCT
ajst-19199	133	8	et	et	PROPN
ajst-19199	133	9	al	al	PROPN
ajst-19199	133	10	.	.	PUNCT
ajst-19199	133	11	"	"	PUNCT
ajst-19199	133	12	forward	forward	ADV
ajst-19199	133	13	modelling	modelling	NOUN
ajst-19199	133	14	and	and	CCONJ
ajst-19199	133	15	imaging	imaging	NOUN
ajst-19199	133	16	of	of	ADP
ajst-19199	133	17	ground‐	ground‐	ADV
ajst-19199	133	18	penetrating	penetrate	VERB
ajst-19199	133	19	radar	radar	NOUN
ajst-19199	133	20	in	in	ADP
ajst-19199	133	21	tunnel	tunnel	NOUN
ajst-19199	133	22	ahead	ahead	ADV
ajst-19199	133	23	geological	geological	ADJ
ajst-19199	133	24	prospecting	prospecting	NOUN
ajst-19199	133	25	.	.	PUNCT
ajst-19199	133	26	"	"	PUNCT
ajst-19199	134	1	geophysical	geophysical	ADJ
ajst-19199	134	2	prospecting	prospect	VERB
ajst-19199	134	3	66.4	66.4	NUM
ajst-19199	134	4	(	(	PUNCT
ajst-19199	134	5	2018	2018	NUM
ajst-19199	134	6	):	):	PUNCT
ajst-19199	134	7	784	784	NUM
ajst-19199	134	8	-	-	SYM
ajst-19199	134	9	797	797	NUM
ajst-19199	134	10	.	.	PUNCT
ajst-19199	135	1	[	[	X
ajst-19199	135	2	8	8	NUM
ajst-19199	135	3	]	]	X
ajst-19199	135	4	liu	liu	PROPN
ajst-19199	135	5	,	,	PUNCT
ajst-19199	135	6	hai	hai	PROPN
ajst-19199	135	7	,	,	PUNCT
ajst-19199	135	8	et	et	PROPN
ajst-19199	135	9	al	al	PROPN
ajst-19199	135	10	.	.	PUNCT
ajst-19199	136	1	"	"	PUNCT
ajst-19199	136	2	automatic	automatic	ADJ
ajst-19199	136	3	recognition	recognition	NOUN
ajst-19199	136	4	and	and	CCONJ
ajst-19199	136	5	localization	localization	NOUN
ajst-19199	136	6	of	of	ADP
ajst-19199	136	7	underground	underground	ADJ
ajst-19199	136	8	pipelines	pipeline	NOUN
ajst-19199	136	9	in	in	ADP
ajst-19199	136	10	gpr	gpr	PROPN
ajst-19199	136	11	b	b	PROPN
ajst-19199	136	12	-	-	PUNCT
ajst-19199	136	13	scans	scan	NOUN
ajst-19199	136	14	using	use	VERB
ajst-19199	136	15	a	a	DET
ajst-19199	136	16	deep	deep	ADJ
ajst-19199	136	17	learning	learning	NOUN
ajst-19199	136	18	model	model	NOUN
ajst-19199	136	19	.	.	PUNCT
ajst-19199	136	20	"	"	PUNCT
ajst-19199	137	1	tunnelling	tunnelling	NOUN
ajst-19199	137	2	and	and	CCONJ
ajst-19199	137	3	underground	underground	ADJ
ajst-19199	137	4	space	space	NOUN
ajst-19199	137	5	technology	technology	NOUN
ajst-19199	137	6	134	134	NUM
ajst-19199	137	7	(	(	PUNCT
ajst-19199	137	8	2023	2023	NUM
ajst-19199	137	9	):	):	PUNCT
ajst-19199	137	10	104861	104861	NUM
ajst-19199	137	11	.	.	PUNCT
ajst-19199	138	1	[	[	X
ajst-19199	138	2	9	9	NUM
ajst-19199	138	3	]	]	X
ajst-19199	138	4	yan	yan	PROPN
ajst-19199	138	5	,	,	PUNCT
ajst-19199	138	6	xiaoling	xiaoling	PROPN
ajst-19199	138	7	,	,	PUNCT
ajst-19199	138	8	houpu	houpu	PROPN
ajst-19199	138	9	wang	wang	PROPN
ajst-19199	138	10	,	,	PUNCT
ajst-19199	138	11	and	and	CCONJ
ajst-19199	138	12	xiaozhi	xiaozhi	PROPN
ajst-19199	138	13	fan	fan	PROPN
ajst-19199	138	14	.	.	PUNCT
ajst-19199	139	1	"	"	PUNCT
ajst-19199	139	2	research	research	NOUN
ajst-19199	139	3	progress	progress	NOUN
ajst-19199	139	4	in	in	ADP
ajst-19199	139	5	nonlinear	nonlinear	ADJ
ajst-19199	139	6	ultrasonic	ultrasonic	ADJ
ajst-19199	139	7	testing	testing	NOUN
ajst-19199	139	8	for	for	ADP
ajst-19199	139	9	early	early	ADJ
ajst-19199	139	10	damage	damage	NOUN
ajst-19199	139	11	in	in	ADP
ajst-19199	139	12	metal	metal	NOUN
ajst-19199	139	13	materials	material	NOUN
ajst-19199	139	14	.	.	PUNCT
ajst-19199	139	15	"	"	PUNCT
ajst-19199	140	1	materials	material	NOUN
ajst-19199	140	2	16.6	16.6	NUM
ajst-19199	140	3	(	(	PUNCT
ajst-19199	140	4	2023	2023	NUM
ajst-19199	140	5	):	):	PUNCT
ajst-19199	140	6	2161	2161	NUM
ajst-19199	140	7	.	.	PUNCT
ajst-19199	141	1	[	[	X
ajst-19199	141	2	10	10	NUM
ajst-19199	141	3	]	]	X
ajst-19199	141	4	sahu	sahu	PROPN
ajst-19199	141	5	,	,	PUNCT
ajst-19199	141	6	ashish	ashish	PROPN
ajst-19199	141	7	kumar	kumar	PROPN
ajst-19199	141	8	,	,	PUNCT
ajst-19199	141	9	ali	ali	PROPN
ajst-19199	141	10	emadi	emadi	PROPN
ajst-19199	141	11	,	,	PUNCT
ajst-19199	141	12	and	and	CCONJ
ajst-19199	141	13	berker	berker	NOUN
ajst-19199	141	14	bilgin	bilgin	NOUN
ajst-19199	141	15	.	.	PUNCT
ajst-19199	142	1	"	"	PUNCT
ajst-19199	142	2	noise	noise	NOUN
ajst-19199	142	3	and	and	CCONJ
ajst-19199	142	4	vibration	vibration	NOUN
ajst-19199	142	5	in	in	ADP
ajst-19199	142	6	switched	switch	VERB
ajst-19199	142	7	reluctance	reluctance	NOUN
ajst-19199	142	8	motors	motor	NOUN
ajst-19199	142	9	:	:	PUNCT
ajst-19199	142	10	a	a	DET
ajst-19199	142	11	review	review	NOUN
ajst-19199	142	12	on	on	ADP
ajst-19199	142	13	structural	structural	ADJ
ajst-19199	142	14	materials	material	NOUN
ajst-19199	142	15	,	,	PUNCT
ajst-19199	142	16	vibration	vibration	NOUN
ajst-19199	142	17	dampers	damper	NOUN
ajst-19199	142	18	,	,	PUNCT
ajst-19199	142	19	acoustic	acoustic	ADJ
ajst-19199	142	20	impedance	impedance	NOUN
ajst-19199	142	21	,	,	PUNCT
ajst-19199	142	22	and	and	CCONJ
ajst-19199	142	23	noise	noise	NOUN
ajst-19199	142	24	masking	masking	NOUN
ajst-19199	142	25	methods	method	NOUN
ajst-19199	142	26	.	.	PUNCT
ajst-19199	142	27	"	"	PUNCT
ajst-19199	143	1	ieee	ieee	NOUN
ajst-19199	143	2	access	access	NOUN
ajst-19199	143	3	(	(	PUNCT
ajst-19199	143	4	2023	2023	NUM
ajst-19199	143	5	)	)	PUNCT
ajst-19199	143	6	.	.	PUNCT
ajst-19199	144	1	[	[	X
ajst-19199	144	2	11	11	NUM
ajst-19199	144	3	]	]	X
ajst-19199	144	4	alharbi	alharbi	NOUN
ajst-19199	144	5	,	,	PUNCT
ajst-19199	144	6	fahad	fahad	PROPN
ajst-19199	144	7	,	,	PUNCT
ajst-19199	144	8	et	et	PROPN
ajst-19199	144	9	al	al	PROPN
ajst-19199	144	10	.	.	PUNCT
ajst-19199	145	1	"	"	PUNCT
ajst-19199	145	2	a	a	DET
ajst-19199	145	3	brief	brief	ADJ
ajst-19199	145	4	review	review	NOUN
ajst-19199	145	5	of	of	ADP
ajst-19199	145	6	acoustic	acoustic	ADJ
ajst-19199	145	7	and	and	CCONJ
ajst-19199	145	8	vibration	vibration	NOUN
ajst-19199	145	9	signal	signal	NOUN
ajst-19199	145	10	-	-	PUNCT
ajst-19199	145	11	based	base	VERB
ajst-19199	145	12	fault	fault	NOUN
ajst-19199	145	13	detection	detection	NOUN
ajst-19199	145	14	for	for	ADP
ajst-19199	145	15	belt	belt	NOUN
ajst-19199	145	16	conveyor	conveyor	NOUN
ajst-19199	145	17	idlers	idler	NOUN
ajst-19199	145	18	using	use	VERB
ajst-19199	145	19	machine	machine	NOUN
ajst-19199	145	20	learning	learning	NOUN
ajst-19199	145	21	models	model	NOUN
ajst-19199	145	22	.	.	PUNCT
ajst-19199	145	23	"	"	PUNCT
ajst-19199	146	1	sensors	sensor	NOUN
ajst-19199	146	2	23.4	23.4	NUM
ajst-19199	146	3	(	(	PUNCT
ajst-19199	146	4	2023	2023	NUM
ajst-19199	146	5	):	):	PUNCT
ajst-19199	146	6	1902	1902	NUM
ajst-19199	146	7	.	.	PUNCT
ajst-19199	147	1	[	[	X
ajst-19199	147	2	12	12	NUM
ajst-19199	147	3	]	]	X
ajst-19199	147	4	duda	duda	PROPN
ajst-19199	147	5	,	,	PUNCT
ajst-19199	147	6	richard	richard	PROPN
ajst-19199	147	7	o.	o.	PROPN
ajst-19199	147	8	,	,	PUNCT
ajst-19199	147	9	and	and	CCONJ
ajst-19199	147	10	peter	peter	PROPN
ajst-19199	147	11	e.	e.	PROPN
ajst-19199	147	12	hart	hart	PROPN
ajst-19199	147	13	.	.	PUNCT
ajst-19199	148	1	pattern	pattern	NOUN
ajst-19199	148	2	classification	classification	NOUN
ajst-19199	148	3	.	.	PUNCT
ajst-19199	149	1	john	john	PROPN
ajst-19199	149	2	wiley	wiley	PROPN
ajst-19199	149	3	&	&	CCONJ
ajst-19199	149	4	sons	son	NOUN
ajst-19199	149	5	,	,	PUNCT
ajst-19199	149	6	2006	2006	NUM
ajst-19199	149	7	.	.	PUNCT
ajst-19199	150	1	[	[	X
ajst-19199	150	2	13	13	NUM
ajst-19199	150	3	]	]	SYM
ajst-19199	150	4	bishop	bishop	PROPN
ajst-19199	150	5	,	,	PUNCT
ajst-19199	150	6	christopher	christopher	PROPN
ajst-19199	150	7	m.	m.	PROPN
ajst-19199	150	8	neural	neural	ADJ
ajst-19199	150	9	networks	network	NOUN
ajst-19199	150	10	for	for	ADP
ajst-19199	150	11	pattern	pattern	NOUN
ajst-19199	150	12	recognition	recognition	NOUN
ajst-19199	150	13	.	.	PUNCT
ajst-19199	151	1	oxford	oxford	PROPN
ajst-19199	151	2	university	university	PROPN
ajst-19199	151	3	press	press	NOUN
ajst-19199	151	4	,	,	PUNCT
ajst-19199	151	5	1995	1995	NUM
ajst-19199	151	6	.	.	PUNCT
ajst-19199	152	1	271	271	NUM
ajst-19199	153	1	[	[	SYM
ajst-19199	153	2	14	14	NUM
ajst-19199	153	3	]	]	X
ajst-19199	153	4	sain	sain	PROPN
ajst-19199	153	5	,	,	PUNCT
ajst-19199	153	6	stephan	stephan	PROPN
ajst-19199	153	7	r.	r.	PROPN
ajst-19199	153	8	,	,	PUNCT
ajst-19199	153	9	et	et	PROPN
ajst-19199	153	10	al	al	PROPN
ajst-19199	153	11	.	.	PUNCT
ajst-19199	154	1	"	"	PUNCT
ajst-19199	154	2	outlier	outlier	ADJ
ajst-19199	154	3	detection	detection	NOUN
ajst-19199	154	4	from	from	ADP
ajst-19199	154	5	a	a	DET
ajst-19199	154	6	mixture	mixture	NOUN
ajst-19199	154	7	distribution	distribution	NOUN
ajst-19199	154	8	when	when	SCONJ
ajst-19199	154	9	training	training	NOUN
ajst-19199	154	10	data	datum	NOUN
ajst-19199	154	11	are	be	AUX
ajst-19199	154	12	unlabeled	unlabele	VERB
ajst-19199	154	13	.	.	PUNCT
ajst-19199	154	14	"	"	PUNCT
ajst-19199	155	1	bulletin	bulletin	NOUN
ajst-19199	155	2	of	of	ADP
ajst-19199	155	3	the	the	DET
ajst-19199	155	4	seismological	seismological	ADJ
ajst-19199	155	5	society	society	NOUN
ajst-19199	155	6	of	of	ADP
ajst-19199	155	7	america	america	PROPN
ajst-19199	155	8	89.1	89.1	NUM
ajst-19199	155	9	(	(	PUNCT
ajst-19199	155	10	1999	1999	NUM
ajst-19199	155	11	):	):	PUNCT
ajst-19199	155	12	294	294	NUM
ajst-19199	155	13	-	-	SYM
ajst-19199	155	14	304	304	NUM
ajst-19199	155	15	.	.	PUNCT
ajst-19199	156	1	[	[	X
ajst-19199	156	2	15	15	NUM
ajst-19199	156	3	]	]	X
ajst-19199	156	4	huang	huang	PROPN
ajst-19199	156	5	,	,	PUNCT
ajst-19199	156	6	shujun	shujun	PROPN
ajst-19199	156	7	,	,	PUNCT
ajst-19199	156	8	et	et	PROPN
ajst-19199	156	9	al	al	PROPN
ajst-19199	156	10	.	.	PUNCT
ajst-19199	157	1	"	"	PUNCT
ajst-19199	157	2	applications	application	NOUN
ajst-19199	157	3	of	of	ADP
ajst-19199	157	4	support	support	NOUN
ajst-19199	157	5	vector	vector	NOUN
ajst-19199	157	6	machine	machine	NOUN
ajst-19199	157	7	(	(	PUNCT
ajst-19199	157	8	svm	svm	ADJ
ajst-19199	157	9	)	)	PUNCT
ajst-19199	157	10	learning	learn	VERB
ajst-19199	157	11	in	in	ADP
ajst-19199	157	12	cancer	cancer	NOUN
ajst-19199	157	13	genomics	genomic	NOUN
ajst-19199	157	14	.	.	PUNCT
ajst-19199	157	15	"	"	PUNCT
ajst-19199	158	1	cancer	cancer	NOUN
ajst-19199	158	2	genomics	genomic	NOUN
ajst-19199	158	3	&	&	CCONJ
ajst-19199	158	4	proteomics	proteomic	NOUN
ajst-19199	158	5	15.1	15.1	NUM
ajst-19199	158	6	(	(	PUNCT
ajst-19199	158	7	2018	2018	NUM
ajst-19199	158	8	):	):	PUNCT
ajst-19199	158	9	41	41	NUM
ajst-19199	158	10	-	-	SYM
ajst-19199	158	11	51	51	NUM
ajst-19199	158	12	.	.	PUNCT
ajst-19199	159	1	[	[	X
ajst-19199	159	2	16	16	NUM
ajst-19199	159	3	]	]	PUNCT
ajst-19199	159	4	schölkopf	schölkopf	NOUN
ajst-19199	159	5	,	,	PUNCT
ajst-19199	159	6	bernhard	bernhard	PROPN
ajst-19199	159	7	,	,	PUNCT
ajst-19199	159	8	et	et	PROPN
ajst-19199	159	9	al	al	PROPN
ajst-19199	159	10	.	.	PUNCT
ajst-19199	160	1	"	"	PUNCT
ajst-19199	160	2	estimating	estimate	VERB
ajst-19199	160	3	the	the	DET
ajst-19199	160	4	support	support	NOUN
ajst-19199	160	5	of	of	ADP
ajst-19199	160	6	a	a	DET
ajst-19199	160	7	highdimensional	highdimensional	ADJ
ajst-19199	160	8	distribution	distribution	NOUN
ajst-19199	160	9	.	.	PUNCT
ajst-19199	160	10	"	"	PUNCT
ajst-19199	161	1	neural	neural	ADJ
ajst-19199	161	2	computation	computation	NOUN
ajst-19199	161	3	13.7	13.7	NUM
ajst-19199	161	4	(	(	PUNCT
ajst-19199	161	5	2001	2001	NUM
ajst-19199	161	6	):	):	PUNCT
ajst-19199	161	7	1443	1443	NUM
ajst-19199	161	8	-	-	SYM
ajst-19199	161	9	1471	1471	NUM
ajst-19199	161	10	.	.	PUNCT
ajst-19199	162	1	[	[	X
ajst-19199	162	2	17	17	NUM
ajst-19199	162	3	]	]	X
ajst-19199	162	4	yi	yi	PROPN
ajst-19199	162	5	,	,	PUNCT
ajst-19199	162	6	jihun	jihun	PROPN
ajst-19199	162	7	,	,	PUNCT
ajst-19199	162	8	and	and	CCONJ
ajst-19199	162	9	sungroh	sungroh	PROPN
ajst-19199	162	10	yoon	yoon	PROPN
ajst-19199	162	11	.	.	PUNCT
ajst-19199	163	1	"	"	PUNCT
ajst-19199	163	2	patch	patch	ADJ
ajst-19199	163	3	svdd	svdd	PROPN
ajst-19199	163	4	:	:	PUNCT
ajst-19199	163	5	patch	patch	ADJ
ajst-19199	163	6	-	-	PUNCT
ajst-19199	163	7	level	level	NOUN
ajst-19199	163	8	svdd	svdd	NOUN
ajst-19199	163	9	for	for	ADP
ajst-19199	163	10	anomaly	anomaly	NOUN
ajst-19199	163	11	detection	detection	NOUN
ajst-19199	163	12	and	and	CCONJ
ajst-19199	163	13	segmentation	segmentation	NOUN
ajst-19199	163	14	.	.	PUNCT
ajst-19199	163	15	"	"	PUNCT
ajst-19199	164	1	proceedings	proceeding	NOUN
ajst-19199	164	2	of	of	ADP
ajst-19199	164	3	the	the	DET
ajst-19199	164	4	asian	asian	ADJ
ajst-19199	164	5	conference	conference	NOUN
ajst-19199	164	6	on	on	ADP
ajst-19199	164	7	computer	computer	NOUN
ajst-19199	164	8	vision	vision	NOUN
ajst-19199	164	9	.	.	PUNCT
ajst-19199	165	1	2020	2020	NUM
ajst-19199	165	2	.	.	PUNCT
ajst-19199	166	1	[	[	X
ajst-19199	166	2	18	18	NUM
ajst-19199	166	3	]	]	X
ajst-19199	166	4	vrahatis	vrahatis	PROPN
ajst-19199	166	5	,	,	PUNCT
ajst-19199	166	6	michael	michael	PROPN
ajst-19199	166	7	n.	n.	PROPN
ajst-19199	166	8	"	"	PUNCT
ajst-19199	166	9	towards	towards	ADP
ajst-19199	166	10	the	the	DET
ajst-19199	166	11	mathematical	mathematical	ADJ
ajst-19199	166	12	foundation	foundation	NOUN
ajst-19199	166	13	of	of	ADP
ajst-19199	166	14	the	the	DET
ajst-19199	166	15	minimum	minimum	NOUN
ajst-19199	166	16	enclosing	enclosing	NOUN
ajst-19199	166	17	ball	ball	NOUN
ajst-19199	166	18	and	and	CCONJ
ajst-19199	166	19	related	related	ADJ
ajst-19199	166	20	problems	problem	NOUN
ajst-19199	166	21	.	.	PUNCT
ajst-19199	166	22	"	"	PUNCT
ajst-19199	167	1	arxiv	arxiv	PROPN
ajst-19199	167	2	preprint	preprint	VERB
ajst-19199	167	3	arxiv:2402.06629	arxiv:2402.06629	NUM
ajst-19199	167	4	(	(	PUNCT
ajst-19199	167	5	2024	2024	NUM
ajst-19199	167	6	)	)	PUNCT
ajst-19199	167	7	.	.	PUNCT
ajst-19199	168	1	[	[	X
ajst-19199	168	2	19	19	NUM
ajst-19199	168	3	]	]	X
ajst-19199	168	4	kumar	kumar	PROPN
ajst-19199	168	5	,	,	PUNCT
ajst-19199	168	6	bagesh	bagesh	PROPN
ajst-19199	168	7	,	,	PUNCT
ajst-19199	168	8	et	et	PROPN
ajst-19199	168	9	al	al	PROPN
ajst-19199	168	10	.	.	PUNCT
ajst-19199	169	1	"	"	PUNCT
ajst-19199	169	2	a	a	DET
ajst-19199	169	3	fast	fast	ADJ
ajst-19199	169	4	learning	learn	VERB
ajst-19199	169	5	algorithm	algorithm	NOUN
ajst-19199	169	6	for	for	ADP
ajst-19199	169	7	one	one	NUM
ajst-19199	169	8	-	-	PUNCT
ajst-19199	169	9	class	class	NOUN
ajst-19199	169	10	slab	slab	NOUN
ajst-19199	169	11	support	support	NOUN
ajst-19199	169	12	vector	vector	NOUN
ajst-19199	169	13	machines	machine	NOUN
ajst-19199	169	14	.	.	PUNCT
ajst-19199	169	15	"	"	PUNCT
ajst-19199	170	1	knowledge	knowledge	NOUN
ajst-19199	170	2	-	-	PUNCT
ajst-19199	170	3	based	base	VERB
ajst-19199	170	4	systems	system	NOUN
ajst-19199	170	5	228	228	NUM
ajst-19199	170	6	(	(	PUNCT
ajst-19199	170	7	2021	2021	NUM
ajst-19199	170	8	):	):	PUNCT
ajst-19199	170	9	107267	107267	NUM
ajst-19199	170	10	.	.	PUNCT
ajst-19199	171	1	[	[	X
ajst-19199	171	2	20	20	NUM
ajst-19199	171	3	]	]	X
ajst-19199	171	4	mnasri	mnasri	PROPN
ajst-19199	171	5	,	,	PUNCT
ajst-19199	171	6	zied	zie	VERB
ajst-19199	171	7	,	,	PUNCT
ajst-19199	171	8	stefano	stefano	PROPN
ajst-19199	171	9	rovetta	rovetta	VERB
ajst-19199	171	10	,	,	PUNCT
ajst-19199	171	11	and	and	CCONJ
ajst-19199	171	12	francesco	francesco	PROPN
ajst-19199	171	13	masulli	masulli	PROPN
ajst-19199	171	14	.	.	PUNCT
ajst-19199	172	1	"	"	PUNCT
ajst-19199	172	2	anomalous	anomalous	ADJ
ajst-19199	172	3	sound	sound	NOUN
ajst-19199	172	4	event	event	NOUN
ajst-19199	172	5	detection	detection	NOUN
ajst-19199	172	6	:	:	PUNCT
ajst-19199	172	7	a	a	DET
ajst-19199	172	8	survey	survey	NOUN
ajst-19199	172	9	of	of	ADP
ajst-19199	172	10	machine	machine	NOUN
ajst-19199	172	11	learning	learning	NOUN
ajst-19199	172	12	based	base	VERB
ajst-19199	172	13	methods	method	NOUN
ajst-19199	172	14	and	and	CCONJ
ajst-19199	172	15	applications	application	NOUN
ajst-19199	172	16	.	.	PUNCT
ajst-19199	172	17	"	"	PUNCT
ajst-19199	173	1	multimedia	multimedia	NOUN
ajst-19199	173	2	tools	tool	NOUN
ajst-19199	173	3	and	and	CCONJ
ajst-19199	173	4	applications	application	NOUN
ajst-19199	173	5	81.4	81.4	NUM
ajst-19199	173	6	(	(	PUNCT
ajst-19199	173	7	2022	2022	NUM
ajst-19199	173	8	):	):	PUNCT
ajst-19199	173	9	5537	5537	NUM
ajst-19199	173	10	-	-	SYM
ajst-19199	173	11	5586	5586	NUM
ajst-19199	173	12	.	.	PUNCT
ajst-19199	174	1	[	[	X
ajst-19199	174	2	21	21	NUM
ajst-19199	174	3	]	]	X
ajst-19199	174	4	fernando	fernando	NOUN
ajst-19199	174	5	,	,	PUNCT
ajst-19199	174	6	tharindu	tharindu	NOUN
ajst-19199	174	7	,	,	PUNCT
ajst-19199	174	8	et	et	PROPN
ajst-19199	174	9	al	al	PROPN
ajst-19199	174	10	.	.	PUNCT
ajst-19199	175	1	"	"	PUNCT
ajst-19199	175	2	deep	deep	ADJ
ajst-19199	175	3	learning	learning	NOUN
ajst-19199	175	4	for	for	ADP
ajst-19199	175	5	medical	medical	ADJ
ajst-19199	175	6	anomaly	anomaly	NOUN
ajst-19199	175	7	detection	detection	NOUN
ajst-19199	175	8	–	–	PUNCT
ajst-19199	175	9	a	a	DET
ajst-19199	175	10	survey	survey	NOUN
ajst-19199	175	11	.	.	PUNCT
ajst-19199	175	12	"	"	PUNCT
ajst-19199	176	1	acm	acm	PROPN
ajst-19199	176	2	computing	computing	NOUN
ajst-19199	176	3	surveys	survey	NOUN
ajst-19199	176	4	(	(	PUNCT
ajst-19199	176	5	csur	csur	NOUN
ajst-19199	176	6	)	)	PUNCT
ajst-19199	176	7	54.7	54.7	NUM
ajst-19199	176	8	(	(	PUNCT
ajst-19199	176	9	2021	2021	NUM
ajst-19199	176	10	):	):	PUNCT
ajst-19199	176	11	1	1	NUM
ajst-19199	176	12	-	-	SYM
ajst-19199	176	13	37	37	NUM
ajst-19199	176	14	.	.	PUNCT
ajst-19199	177	1	[	[	X
ajst-19199	177	2	22	22	NUM
ajst-19199	177	3	]	]	PUNCT
ajst-19199	177	4	suefusa	suefusa	NOUN
ajst-19199	177	5	,	,	PUNCT
ajst-19199	177	6	kaori	kaori	PROPN
ajst-19199	177	7	,	,	PUNCT
ajst-19199	177	8	et	et	PROPN
ajst-19199	177	9	al	al	PROPN
ajst-19199	177	10	.	.	PUNCT
ajst-19199	178	1	"	"	PUNCT
ajst-19199	178	2	anomalous	anomalous	ADJ
ajst-19199	178	3	sound	sound	NOUN
ajst-19199	178	4	detection	detection	NOUN
ajst-19199	178	5	based	base	VERB
ajst-19199	178	6	on	on	ADP
ajst-19199	178	7	interpolation	interpolation	NOUN
ajst-19199	178	8	deep	deep	ADJ
ajst-19199	178	9	neural	neural	ADJ
ajst-19199	178	10	network	network	NOUN
ajst-19199	178	11	.	.	PUNCT
ajst-19199	178	12	"	"	PUNCT
ajst-19199	179	1	icassp	icassp	ADV
ajst-19199	179	2	2020	2020	NUM
ajst-19199	179	3	-	-	SYM
ajst-19199	179	4	2020	2020	NUM
ajst-19199	179	5	ieee	ieee	NOUN
ajst-19199	179	6	international	international	ADJ
ajst-19199	179	7	conference	conference	NOUN
ajst-19199	179	8	on	on	ADP
ajst-19199	179	9	acoustics	acoustic	NOUN
ajst-19199	179	10	,	,	PUNCT
ajst-19199	179	11	speech	speech	NOUN
ajst-19199	179	12	and	and	CCONJ
ajst-19199	179	13	signal	signal	NOUN
ajst-19199	179	14	processing	processing	NOUN
ajst-19199	179	15	(	(	PUNCT
ajst-19199	179	16	icassp	icassp	PROPN
ajst-19199	179	17	)	)	PUNCT
ajst-19199	179	18	.	.	PUNCT
ajst-19199	180	1	ieee	ieee	PROPN
ajst-19199	180	2	,	,	PUNCT
ajst-19199	180	3	2020	2020	NUM
ajst-19199	180	4	.	.	PUNCT
ajst-19199	181	1	[	[	X
ajst-19199	181	2	23	23	NUM
ajst-19199	181	3	]	]	X
ajst-19199	181	4	nabih	nabih	PROPN
ajst-19199	181	5	-	-	PUNCT
ajst-19199	181	6	ali	ali	PROPN
ajst-19199	181	7	,	,	PUNCT
ajst-19199	181	8	mohammed	mohammed	PROPN
ajst-19199	181	9	,	,	PUNCT
ajst-19199	181	10	el	el	PROPN
ajst-19199	181	11	-	-	PUNCT
ajst-19199	181	12	sayed	sayed	PROPN
ajst-19199	181	13	a.	a.	PROPN
ajst-19199	181	14	el	el	PROPN
ajst-19199	181	15	-	-	PUNCT
ajst-19199	181	16	dahshan	dahshan	PROPN
ajst-19199	181	17	,	,	PUNCT
ajst-19199	181	18	and	and	CCONJ
ajst-19199	181	19	ashraf	ashraf	PROPN
ajst-19199	181	20	s.	s.	PROPN
ajst-19199	181	21	yahia	yahia	PROPN
ajst-19199	181	22	.	.	PUNCT
ajst-19199	182	1	"	"	PUNCT
ajst-19199	182	2	a	a	DET
ajst-19199	182	3	review	review	NOUN
ajst-19199	182	4	of	of	ADP
ajst-19199	182	5	intelligent	intelligent	ADJ
ajst-19199	182	6	systems	system	NOUN
ajst-19199	182	7	for	for	ADP
ajst-19199	182	8	heart	heart	NOUN
ajst-19199	182	9	sound	sound	NOUN
ajst-19199	182	10	signal	signal	ADJ
ajst-19199	182	11	analysis	analysis	NOUN
ajst-19199	182	12	.	.	PUNCT
ajst-19199	182	13	"	"	PUNCT
ajst-19199	183	1	journal	journal	NOUN
ajst-19199	183	2	of	of	ADP
ajst-19199	183	3	medical	medical	ADJ
ajst-19199	183	4	engineering	engineering	PROPN
ajst-19199	183	5	&	&	CCONJ
ajst-19199	183	6	technology	technology	PROPN
ajst-19199	183	7	41.7	41.7	NUM
ajst-19199	183	8	(	(	PUNCT
ajst-19199	183	9	2017	2017	NUM
ajst-19199	183	10	):	):	PUNCT
ajst-19199	183	11	553	553	NUM
ajst-19199	183	12	-	-	SYM
ajst-19199	183	13	563	563	NUM
ajst-19199	183	14	.	.	PUNCT
ajst-19199	184	1	[	[	X
ajst-19199	184	2	24	24	NUM
ajst-19199	184	3	]	]	SYM
ajst-19199	184	4	chalapathy	chalapathy	PROPN
ajst-19199	184	5	,	,	PUNCT
ajst-19199	184	6	raghavendra	raghavendra	PROPN
ajst-19199	184	7	,	,	PUNCT
ajst-19199	184	8	and	and	CCONJ
ajst-19199	184	9	sanjay	sanjay	PROPN
ajst-19199	184	10	chawla	chawla	PROPN
ajst-19199	184	11	.	.	PUNCT
ajst-19199	185	1	"	"	PUNCT
ajst-19199	185	2	deep	deep	ADJ
ajst-19199	185	3	learning	learning	NOUN
ajst-19199	185	4	for	for	ADP
ajst-19199	185	5	anomaly	anomaly	NOUN
ajst-19199	185	6	detection	detection	NOUN
ajst-19199	185	7	:	:	PUNCT
ajst-19199	185	8	a	a	DET
ajst-19199	185	9	survey	survey	NOUN
ajst-19199	185	10	.	.	PUNCT
ajst-19199	185	11	"	"	PUNCT
ajst-19199	186	1	arxiv	arxiv	PROPN
ajst-19199	186	2	preprint	preprint	NOUN
ajst-19199	186	3	arxiv:1901.03407	arxiv:1901.03407	NOUN
ajst-19199	186	4	(	(	PUNCT
ajst-19199	186	5	2019	2019	NUM
ajst-19199	186	6	)	)	PUNCT
ajst-19199	186	7	.	.	PUNCT
ajst-19199	187	1	[	[	X
ajst-19199	187	2	25	25	NUM
ajst-19199	187	3	]	]	X
ajst-19199	187	4	guo	guo	PROPN
ajst-19199	187	5	,	,	PUNCT
ajst-19199	187	6	yao	yao	PROPN
ajst-19199	187	7	,	,	PUNCT
ajst-19199	187	8	et	et	PROPN
ajst-19199	187	9	al	al	PROPN
ajst-19199	187	10	.	.	PUNCT
ajst-19199	188	1	"	"	PUNCT
ajst-19199	188	2	a	a	DET
ajst-19199	188	3	review	review	NOUN
ajst-19199	188	4	of	of	ADP
ajst-19199	188	5	wearable	wearable	ADJ
ajst-19199	188	6	and	and	CCONJ
ajst-19199	188	7	unobtrusive	unobtrusive	ADJ
ajst-19199	188	8	sensing	sense	VERB
ajst-19199	188	9	technologies	technology	NOUN
ajst-19199	188	10	for	for	ADP
ajst-19199	188	11	chronic	chronic	ADJ
ajst-19199	188	12	disease	disease	NOUN
ajst-19199	188	13	management	management	NOUN
ajst-19199	188	14	.	.	PUNCT
ajst-19199	188	15	"	"	PUNCT
ajst-19199	189	1	computers	computer	NOUN
ajst-19199	189	2	in	in	ADP
ajst-19199	189	3	biology	biology	NOUN
ajst-19199	189	4	and	and	CCONJ
ajst-19199	189	5	medicine	medicine	NOUN
ajst-19199	189	6	129	129	NUM
ajst-19199	189	7	(	(	PUNCT
ajst-19199	189	8	2021	2021	NUM
ajst-19199	189	9	):	):	PUNCT
ajst-19199	189	10	104163	104163	NUM
ajst-19199	189	11	.	.	PUNCT