id	sid	tid	token	lemma	pos
cana-1231	1	1	communications	communication	NOUN
cana-1231	1	2	on	on	ADP
cana-1231	1	3	applied	apply	VERB
cana-1231	1	4	nonlinear	nonlinear	ADJ
cana-1231	1	5	analysis	analysis	NOUN
cana-1231	1	6	issn	issn	NOUN
cana-1231	1	7	:	:	PUNCT
cana-1231	1	8	1074	1074	NUM
cana-1231	1	9	-	-	PUNCT
cana-1231	1	10	133x	133x	NUM
cana-1231	1	11	vol	vol	NOUN
cana-1231	1	12	31	31	NUM
cana-1231	1	13	no	no	NOUN
cana-1231	1	14	.	.	PUNCT
cana-1231	2	1	6s	6s	NUM
cana-1231	2	2	(	(	PUNCT
cana-1231	2	3	2024	2024	NUM
cana-1231	2	4	)	)	PUNCT
cana-1231	3	1	388	388	NUM
cana-1231	3	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-1231	3	3	adversarial	adversarial	ADJ
cana-1231	3	4	training	training	NOUN
cana-1231	3	5	for	for	ADP
cana-1231	3	6	robust	robust	ADJ
cana-1231	3	7	natural	natural	ADJ
cana-1231	3	8	language	language	NOUN
cana-1231	3	9	processing	processing	NOUN
cana-1231	3	10	:	:	PUNCT
cana-1231	3	11	a	a	DET
cana-1231	3	12	focus	focus	NOUN
cana-1231	3	13	on	on	ADP
cana-1231	3	14	sentiment	sentiment	NOUN
cana-1231	3	15	analysis	analysis	NOUN
cana-1231	3	16	and	and	CCONJ
cana-1231	3	17	machine	machine	NOUN
cana-1231	3	18	translation	translation	NOUN
cana-1231	3	19	dr	dr	PROPN
cana-1231	3	20	b	b	PROPN
cana-1231	3	21	gomathy1	gomathy1	PROPN
cana-1231	3	22	,	,	PUNCT
cana-1231	3	23	dr	dr	PROPN
cana-1231	3	24	.	.	PROPN
cana-1231	3	25	t.	t.	PROPN
cana-1231	3	26	jayachitra2	jayachitra2	PROPN
cana-1231	3	27	,	,	PUNCT
cana-1231	3	28	dr	dr	PROPN
cana-1231	3	29	.	.	PROPN
cana-1231	3	30	r.	r.	PROPN
cana-1231	3	31	rajkumar3	rajkumar3	PROPN
cana-1231	3	32	,	,	PUNCT
cana-1231	3	33	ms	ms	PROPN
cana-1231	3	34	.	.	PROPN
cana-1231	3	35	v.	v.	PROPN
cana-1231	3	36	lalithamani4	lalithamani4	PROPN
cana-1231	3	37	,	,	PUNCT
cana-1231	3	38	g	g	PROPN
cana-1231	3	39	s	s	PROPN
cana-1231	3	40	pradeep	pradeep	PROPN
cana-1231	3	41	ghantasala5	ghantasala5	PROPN
cana-1231	3	42	,	,	PUNCT
cana-1231	3	43	mr	mr	PROPN
cana-1231	3	44	.	.	PROPN
cana-1231	3	45	i.	i.	PROPN
cana-1231	3	46	anantraj6	anantraj6	PROPN
cana-1231	3	47	,	,	PUNCT
cana-1231	3	48	dr	dr	PROPN
cana-1231	3	49	.	.	PROPN
cana-1231	3	50	c.	c.	PROPN
cana-1231	3	51	shyamala7	shyamala7	PROPN
cana-1231	3	52	,	,	PUNCT
cana-1231	3	53	g.	g.	PROPN
cana-1231	3	54	vinoth	vinoth	PROPN
cana-1231	3	55	rajkumar8	rajkumar8	PROPN
cana-1231	3	56	,	,	PUNCT
cana-1231	3	57	s.	s.	PROPN
cana-1231	3	58	saranya9	saranya9	PROPN
cana-1231	3	59	1professor	1professor	NUM
cana-1231	3	60	,	,	PUNCT
cana-1231	3	61	cse	cse	PROPN
cana-1231	3	62	,	,	PUNCT
cana-1231	3	63	psg	psg	PROPN
cana-1231	3	64	institute	institute	PROPN
cana-1231	3	65	of	of	ADP
cana-1231	3	66	technology	technology	PROPN
cana-1231	3	67	and	and	CCONJ
cana-1231	3	68	applied	apply	VERB
cana-1231	3	69	research	research	NOUN
cana-1231	3	70	,	,	PUNCT
cana-1231	3	71	neelambur	neelambur	PROPN
cana-1231	3	72	,	,	PUNCT
cana-1231	3	73	coimbatore	coimbatore	NOUN
cana-1231	3	74	.	.	PUNCT
cana-1231	4	1	bgomramesh@gmail.com	bgomramesh@gmail.com	X
cana-1231	5	1	2assistant	2assistant	NUM
cana-1231	5	2	professor	professor	NOUN
cana-1231	5	3	,	,	PUNCT
cana-1231	5	4	department	department	NOUN
cana-1231	5	5	of	of	ADP
cana-1231	5	6	electrical	electrical	ADJ
cana-1231	5	7	electronics	electronic	NOUN
cana-1231	5	8	and	and	CCONJ
cana-1231	5	9	communication	communication	NOUN
cana-1231	5	10	engineering	engineering	NOUN
cana-1231	5	11	,	,	PUNCT
cana-1231	5	12	school	school	NOUN
cana-1231	5	13	of	of	ADP
cana-1231	5	14	engineering	engineering	NOUN
cana-1231	5	15	and	and	CCONJ
cana-1231	5	16	technology	technology	NOUN
cana-1231	5	17	,	,	PUNCT
cana-1231	5	18	sharda	sharda	PROPN
cana-1231	5	19	university	university	PROPN
cana-1231	5	20	,	,	PUNCT
cana-1231	5	21	greater	great	ADJ
cana-1231	5	22	noida	noida	PROPN
cana-1231	5	23	.	.	PUNCT
cana-1231	5	24	jayachitra.kishor@sharda.ac.in	jayachitra.kishor@sharda.ac.in	PUNCT
cana-1231	6	1	3associate	3associate	NUM
cana-1231	6	2	professor	professor	NOUN
cana-1231	6	3	,	,	PUNCT
cana-1231	6	4	dept	dept	NOUN
cana-1231	6	5	of	of	ADP
cana-1231	6	6	ece	ece	PROPN
cana-1231	6	7	,	,	PUNCT
cana-1231	6	8	vel	vel	PROPN
cana-1231	6	9	tech	tech	NOUN
cana-1231	6	10	rangarajan	rangarajan	NOUN
cana-1231	6	11	dr.saguthala	dr.saguthala	PROPN
cana-1231	6	12	r&d	r&d	PROPN
cana-1231	6	13	institute	institute	PROPN
cana-1231	6	14	of	of	ADP
cana-1231	6	15	science	science	NOUN
cana-1231	6	16	and	and	CCONJ
cana-1231	6	17	technology	technology	NOUN
cana-1231	6	18	(	(	PUNCT
cana-1231	6	19	deemed	deem	VERB
cana-1231	6	20	to	to	PART
cana-1231	6	21	be	be	AUX
cana-1231	6	22	university	university	NOUN
cana-1231	6	23	,	,	PUNCT
cana-1231	6	24	avadi	avadi	NOUN
cana-1231	6	25	chennai	chennai	PROPN
cana-1231	6	26	,	,	PUNCT
cana-1231	6	27	rajkumarramasami@gmail.com	rajkumarramasami@gmail.com	PROPN
cana-1231	6	28	,	,	PUNCT
cana-1231	6	29	rrajkumardr@veltech.edu.in	rrajkumardr@veltech.edu.in	NOUN
cana-1231	6	30	4assistant	4assistant	PROPN
cana-1231	6	31	professor	professor	NOUN
cana-1231	6	32	,	,	PUNCT
cana-1231	6	33	department	department	PROPN
cana-1231	6	34	of	of	ADP
cana-1231	6	35	ece	ece	PROPN
cana-1231	6	36	,	,	PUNCT
cana-1231	6	37	kit	kit	NOUN
cana-1231	6	38	-	-	PUNCT
cana-1231	6	39	kalaignarkarunanidhi	kalaignarkarunanidhi	PROPN
cana-1231	6	40	institute	institute	PROPN
cana-1231	6	41	of	of	ADP
cana-1231	6	42	technology	technology	PROPN
cana-1231	6	43	,	,	PUNCT
cana-1231	6	44	coimbatore-641402	coimbatore-641402	NOUN
cana-1231	6	45	,	,	PUNCT
cana-1231	6	46	lalithamani.v@gmail.com	lalithamani.v@gmail.com	PROPN
cana-1231	6	47	5professor	5professor	NUM
cana-1231	6	48	,	,	PUNCT
cana-1231	6	49	computer	computer	NOUN
cana-1231	6	50	science	science	NOUN
cana-1231	6	51	and	and	CCONJ
cana-1231	6	52	engineering	engineering	NOUN
cana-1231	6	53	,	,	PUNCT
cana-1231	6	54	alliance	alliance	NOUN
cana-1231	6	55	college	college	NOUN
cana-1231	6	56	of	of	ADP
cana-1231	6	57	engineering	engineering	NOUN
cana-1231	6	58	and	and	CCONJ
cana-1231	6	59	design	design	NOUN
cana-1231	6	60	,	,	PUNCT
cana-1231	6	61	alliance	alliance	NOUN
cana-1231	6	62	university	university	PROPN
cana-1231	6	63	bengaluru	bengaluru	PROPN
cana-1231	6	64	,	,	PUNCT
cana-1231	6	65	india	india	PROPN
cana-1231	6	66	.	.	PUNCT
cana-1231	7	1	ggspradeep@gmail.com	ggspradeep@gmail.com	X
cana-1231	8	1	6assistant	6assistant	NUM
cana-1231	8	2	professor	professor	NOUN
cana-1231	8	3	,	,	PUNCT
cana-1231	8	4	department	department	NOUN
cana-1231	8	5	of	of	ADP
cana-1231	8	6	cse(cyber	cse(cyber	PROPN
cana-1231	8	7	security	security	NOUN
cana-1231	8	8	)	)	PUNCT
cana-1231	8	9	,	,	PUNCT
cana-1231	8	10	sri	sri	PROPN
cana-1231	8	11	krishna	krishna	PROPN
cana-1231	8	12	college	college	PROPN
cana-1231	8	13	of	of	ADP
cana-1231	8	14	engineering	engineering	NOUN
cana-1231	8	15	and	and	CCONJ
cana-1231	8	16	technology	technology	NOUN
cana-1231	8	17	,	,	PUNCT
cana-1231	8	18	kuniyamuthur	kuniyamuthur	PROPN
cana-1231	8	19	,	,	PUNCT
cana-1231	8	20	coimbatore	coimbatore	PROPN
cana-1231	8	21	,	,	PUNCT
cana-1231	8	22	tamil	tamil	PROPN
cana-1231	8	23	nadu	nadu	PROPN
cana-1231	8	24	,	,	PUNCT
cana-1231	8	25	india	india	PROPN
cana-1231	8	26	.	.	PUNCT
cana-1231	9	1	rajanantcse@gmail.com	rajanantcse@gmail.com	X
cana-1231	10	1	7associate	7associate	NUM
cana-1231	10	2	professor	professor	NOUN
cana-1231	10	3	,	,	PUNCT
cana-1231	10	4	department	department	NOUN
cana-1231	10	5	of	of	ADP
cana-1231	10	6	computer	computer	NOUN
cana-1231	10	7	science	science	NOUN
cana-1231	10	8	and	and	CCONJ
cana-1231	10	9	engineering	engineering	NOUN
cana-1231	10	10	,	,	PUNCT
cana-1231	10	11	k.ramakrishnan	k.ramakrishnan	ADP
cana-1231	10	12	college	college	NOUN
cana-1231	10	13	of	of	ADP
cana-1231	10	14	technology	technology	NOUN
cana-1231	10	15	,	,	PUNCT
cana-1231	10	16	trichy	trichy	NOUN
cana-1231	10	17	,	,	PUNCT
cana-1231	10	18	tamilnadu	tamilnadu	PROPN
cana-1231	10	19	,	,	PUNCT
cana-1231	10	20	india	india	PROPN
cana-1231	10	21	.	.	PUNCT
cana-1231	11	1	shyamalacs28@gmail.com	shyamalacs28@gmail.com	X
cana-1231	12	1	8assistant	8assistant	NUM
cana-1231	12	2	professor/	professor/	NUM
cana-1231	12	3	department	department	NOUN
cana-1231	12	4	of	of	ADP
cana-1231	12	5	electronics	electronic	NOUN
cana-1231	12	6	and	and	CCONJ
cana-1231	12	7	communication	communication	NOUN
cana-1231	12	8	engineering	engineering	NOUN
cana-1231	12	9	,	,	PUNCT
cana-1231	12	10	j.p	j.p	PROPN
cana-1231	12	11	.	.	PROPN
cana-1231	12	12	college	college	PROPN
cana-1231	12	13	of	of	ADP
cana-1231	12	14	engineering	engineering	PROPN
cana-1231	12	15	,	,	PUNCT
cana-1231	12	16	tenkasi	tenkasi	NOUN
cana-1231	12	17	.	.	PUNCT
cana-1231	13	1	vinorj88@gmail.com	vinorj88@gmail.com	X
cana-1231	13	2	assistant	assistant	NOUN
cana-1231	13	3	professor	professor	NOUN
cana-1231	13	4	,	,	PUNCT
cana-1231	13	5	computer	computer	NOUN
cana-1231	13	6	science	science	NOUN
cana-1231	13	7	and	and	CCONJ
cana-1231	13	8	engineering	engineering	NOUN
cana-1231	13	9	,	,	PUNCT
cana-1231	13	10	k.ramakrishnan	k.ramakrishnan	ADP
cana-1231	13	11	college	college	NOUN
cana-1231	13	12	of	of	ADP
cana-1231	13	13	engineering	engineering	PROPN
cana-1231	13	14	samayapuram	samayapuram	PROPN
cana-1231	13	15	,	,	PUNCT
cana-1231	13	16	trichy	trichy	NOUN
cana-1231	13	17	621112	621112	NUM
cana-1231	13	18	.	.	PUNCT
cana-1231	14	1	saranyas.cse@krce.ac.in	saranyas.cse@krce.ac.in	NOUN
cana-1231	14	2	.	.	PROPN
cana-1231	14	3	9003972720	9003972720	NUM
cana-1231	14	4	article	article	NOUN
cana-1231	14	5	history	history	NOUN
cana-1231	14	6	:	:	PUNCT
cana-1231	14	7	received	receive	VERB
cana-1231	14	8	:	:	PUNCT
cana-1231	14	9	19	19	NUM
cana-1231	14	10	-	-	PUNCT
cana-1231	14	11	06	06	NUM
cana-1231	14	12	-	-	PUNCT
cana-1231	14	13	2024	2024	NUM
cana-1231	14	14	revised	revise	VERB
cana-1231	14	15	:	:	PUNCT
cana-1231	14	16	22	22	NUM
cana-1231	14	17	-	-	SYM
cana-1231	14	18	07	07	NUM
cana-1231	14	19	-	-	PUNCT
cana-1231	14	20	2024	2024	NUM
cana-1231	14	21	accepted	accept	VERB
cana-1231	14	22	:	:	PUNCT
cana-1231	14	23	08	08	NUM
cana-1231	14	24	-	-	SYM
cana-1231	14	25	08	08	NUM
cana-1231	14	26	-	-	PUNCT
cana-1231	14	27	2024	2024	NUM
cana-1231	14	28	abstract	abstract	NOUN
cana-1231	14	29	:	:	PUNCT
cana-1231	14	30	adversarial	adversarial	ADJ
cana-1231	14	31	training	training	NOUN
cana-1231	14	32	has	have	AUX
cana-1231	14	33	emerged	emerge	VERB
cana-1231	14	34	as	as	ADP
cana-1231	14	35	a	a	DET
cana-1231	14	36	powerful	powerful	ADJ
cana-1231	14	37	technique	technique	NOUN
cana-1231	14	38	to	to	PART
cana-1231	14	39	improve	improve	VERB
cana-1231	14	40	the	the	DET
cana-1231	14	41	reliability	reliability	NOUN
cana-1231	14	42	of	of	ADP
cana-1231	14	43	natural	natural	ADJ
cana-1231	14	44	language	language	NOUN
cana-1231	14	45	processing	processing	NOUN
cana-1231	14	46	(	(	PUNCT
cana-1231	14	47	nlp	nlp	NOUN
cana-1231	14	48	)	)	PUNCT
cana-1231	14	49	designs	design	NOUN
cana-1231	14	50	,	,	PUNCT
cana-1231	14	51	especially	especially	ADV
cana-1231	14	52	sentiment	sentiment	VERB
cana-1231	14	53	analysis	analysis	NOUN
cana-1231	14	54	and	and	CCONJ
cana-1231	14	55	machine	machine	NOUN
cana-1231	14	56	translation	translation	NOUN
cana-1231	14	57	.	.	PUNCT
cana-1231	15	1	by	by	ADP
cana-1231	15	2	providing	provide	VERB
cana-1231	15	3	adversarial	adversarial	ADJ
cana-1231	15	4	examples	example	NOUN
cana-1231	15	5	during	during	ADP
cana-1231	15	6	training	training	NOUN
cana-1231	15	7	process	process	NOUN
cana-1231	15	8	,	,	PUNCT
cana-1231	15	9	models	model	NOUN
cana-1231	15	10	are	be	AUX
cana-1231	15	11	exposed	expose	VERB
cana-1231	15	12	to	to	ADP
cana-1231	15	13	perturbations	perturbation	NOUN
cana-1231	15	14	that	that	PRON
cana-1231	15	15	challenge	challenge	VERB
cana-1231	15	16	their	their	PRON
cana-1231	15	17	understanding	understanding	NOUN
cana-1231	15	18	and	and	CCONJ
cana-1231	15	19	interpretation	interpretation	NOUN
cana-1231	15	20	of	of	ADP
cana-1231	15	21	textual	textual	ADJ
cana-1231	15	22	data	datum	NOUN
cana-1231	15	23	.	.	PUNCT
cana-1231	16	1	this	this	DET
cana-1231	16	2	process	process	NOUN
cana-1231	16	3	helps	help	VERB
cana-1231	16	4	in	in	ADP
cana-1231	16	5	developing	develop	VERB
cana-1231	16	6	models	model	NOUN
cana-1231	16	7	that	that	PRON
cana-1231	16	8	are	be	AUX
cana-1231	16	9	not	not	PART
cana-1231	16	10	only	only	ADV
cana-1231	16	11	accurate	accurate	ADJ
cana-1231	16	12	but	but	CCONJ
cana-1231	16	13	also	also	ADV
cana-1231	16	14	resilient	resilient	ADJ
cana-1231	16	15	to	to	ADP
cana-1231	16	16	manipulations	manipulation	NOUN
cana-1231	16	17	and	and	CCONJ
cana-1231	16	18	noise	noise	NOUN
cana-1231	16	19	in	in	ADP
cana-1231	16	20	real	real	ADJ
cana-1231	16	21	-	-	PUNCT
cana-1231	16	22	world	world	NOUN
cana-1231	16	23	scenarios	scenario	NOUN
cana-1231	16	24	.	.	PUNCT
cana-1231	17	1	in	in	ADP
cana-1231	17	2	sentiment	sentiment	NOUN
cana-1231	17	3	analysis	analysis	NOUN
cana-1231	17	4	,	,	PUNCT
cana-1231	17	5	adversarial	adversarial	ADJ
cana-1231	17	6	training	training	NOUN
cana-1231	17	7	ensures	ensure	VERB
cana-1231	17	8	that	that	SCONJ
cana-1231	17	9	models	model	NOUN
cana-1231	17	10	can	can	AUX
cana-1231	17	11	maintain	maintain	VERB
cana-1231	17	12	consistent	consistent	ADJ
cana-1231	17	13	performance	performance	NOUN
cana-1231	17	14	despite	despite	SCONJ
cana-1231	17	15	variations	variation	NOUN
cana-1231	17	16	in	in	ADP
cana-1231	17	17	input	input	NOUN
cana-1231	17	18	text	text	NOUN
cana-1231	17	19	,	,	PUNCT
cana-1231	17	20	such	such	ADJ
cana-1231	17	21	as	as	ADP
cana-1231	17	22	paraphrasing	paraphrasing	NOUN
cana-1231	17	23	or	or	CCONJ
cana-1231	17	24	the	the	DET
cana-1231	17	25	inclusion	inclusion	NOUN
cana-1231	17	26	of	of	ADP
cana-1231	17	27	misleading	mislead	VERB
cana-1231	17	28	sentiment	sentiment	NOUN
cana-1231	17	29	indicators	indicator	NOUN
cana-1231	17	30	.	.	PUNCT
cana-1231	18	1	this	this	DET
cana-1231	18	2	robustness	robustness	NOUN
cana-1231	18	3	is	be	AUX
cana-1231	18	4	crucial	crucial	ADJ
cana-1231	18	5	for	for	ADP
cana-1231	18	6	applications	application	NOUN
cana-1231	18	7	involving	involve	VERB
cana-1231	18	8	user	user	NOUN
cana-1231	18	9	-	-	PUNCT
cana-1231	18	10	generated	generate	VERB
cana-1231	18	11	content	content	NOUN
cana-1231	18	12	,	,	PUNCT
cana-1231	18	13	where	where	SCONJ
cana-1231	18	14	linguistic	linguistic	ADJ
cana-1231	18	15	diversity	diversity	NOUN
cana-1231	18	16	and	and	CCONJ
cana-1231	18	17	intentional	intentional	ADJ
cana-1231	18	18	manipulations	manipulation	NOUN
cana-1231	18	19	are	be	AUX
cana-1231	18	20	common	common	ADJ
cana-1231	18	21	.	.	PUNCT
cana-1231	19	1	in	in	ADP
cana-1231	19	2	the	the	DET
cana-1231	19	3	context	context	NOUN
cana-1231	19	4	of	of	ADP
cana-1231	19	5	machine	machine	NOUN
cana-1231	19	6	translation	translation	NOUN
cana-1231	19	7	,	,	PUNCT
cana-1231	19	8	adversarial	adversarial	ADJ
cana-1231	19	9	training	training	NOUN
cana-1231	19	10	contributes	contribute	VERB
cana-1231	19	11	to	to	ADP
cana-1231	19	12	the	the	DET
cana-1231	19	13	development	development	NOUN
cana-1231	19	14	of	of	ADP
cana-1231	19	15	models	model	NOUN
cana-1231	19	16	that	that	PRON
cana-1231	19	17	can	can	AUX
cana-1231	19	18	handle	handle	VERB
cana-1231	19	19	diverse	diverse	ADJ
cana-1231	19	20	linguistic	linguistic	ADJ
cana-1231	19	21	structures	structure	NOUN
cana-1231	19	22	and	and	CCONJ
cana-1231	19	23	idiomatic	idiomatic	ADJ
cana-1231	19	24	expressions	expression	NOUN
cana-1231	19	25	,	,	PUNCT
cana-1231	19	26	which	which	PRON
cana-1231	19	27	are	be	AUX
cana-1231	19	28	often	often	ADV
cana-1231	19	29	sources	source	NOUN
cana-1231	19	30	of	of	ADP
cana-1231	19	31	errors	error	NOUN
cana-1231	19	32	in	in	ADP
cana-1231	19	33	traditional	traditional	ADJ
cana-1231	19	34	models	model	NOUN
cana-1231	19	35	.	.	PUNCT
cana-1231	20	1	by	by	ADP
cana-1231	20	2	simulating	simulate	VERB
cana-1231	20	3	adversarial	adversarial	ADJ
cana-1231	20	4	attacks	attack	NOUN
cana-1231	20	5	that	that	PRON
cana-1231	20	6	introduce	introduce	VERB
cana-1231	20	7	such	such	ADJ
cana-1231	20	8	complexities	complexity	NOUN
cana-1231	20	9	,	,	PUNCT
cana-1231	20	10	the	the	DET
cana-1231	20	11	training	training	NOUN
cana-1231	20	12	process	process	NOUN
cana-1231	20	13	makes	make	VERB
cana-1231	20	14	models	model	NOUN
cana-1231	20	15	more	more	ADV
cana-1231	20	16	adept	adept	ADJ
cana-1231	20	17	at	at	ADP
cana-1231	20	18	preserving	preserve	VERB
cana-1231	20	19	the	the	DET
cana-1231	20	20	semantic	semantic	ADJ
cana-1231	20	21	integrity	integrity	NOUN
cana-1231	20	22	of	of	ADP
cana-1231	20	23	translated	translate	VERB
cana-1231	20	24	texts	text	NOUN
cana-1231	20	25	across	across	ADP
cana-1231	20	26	different	different	ADJ
cana-1231	20	27	languages	language	NOUN
cana-1231	20	28	.	.	PUNCT
cana-1231	21	1	this	this	DET
cana-1231	21	2	improved	improved	ADJ
cana-1231	21	3	robustness	robustness	NOUN
cana-1231	21	4	is	be	AUX
cana-1231	21	5	particularly	particularly	ADV
cana-1231	21	6	beneficial	beneficial	ADJ
cana-1231	21	7	for	for	ADP
cana-1231	21	8	applications	application	NOUN
cana-1231	21	9	requiring	require	VERB
cana-1231	21	10	high	high	ADJ
cana-1231	21	11	translation	translation	NOUN
cana-1231	21	12	accuracy	accuracy	NOUN
cana-1231	21	13	and	and	CCONJ
cana-1231	21	14	reliability	reliability	NOUN
cana-1231	21	15	,	,	PUNCT
cana-1231	21	16	such	such	ADJ
cana-1231	21	17	as	as	ADP
cana-1231	21	18	international	international	ADJ
cana-1231	21	19	communication	communication	NOUN
cana-1231	21	20	,	,	PUNCT
cana-1231	21	21	content	content	NOUN
cana-1231	21	22	localization	localization	NOUN
cana-1231	21	23	,	,	PUNCT
cana-1231	21	24	and	and	CCONJ
cana-1231	21	25	multilingual	multilingual	ADJ
cana-1231	21	26	information	information	NOUN
cana-1231	21	27	retrieval	retrieval	NOUN
cana-1231	21	28	.	.	PUNCT
cana-1231	22	1	overall	overall	ADJ
cana-1231	22	2	,	,	PUNCT
cana-1231	22	3	adversarial	adversarial	ADJ
cana-1231	22	4	training	training	NOUN
cana-1231	22	5	provides	provide	VERB
cana-1231	22	6	a	a	DET
cana-1231	22	7	significant	significant	ADJ
cana-1231	22	8	advancement	advancement	NOUN
cana-1231	22	9	in	in	ADP
cana-1231	22	10	creating	create	VERB
cana-1231	22	11	more	more	ADV
cana-1231	22	12	resilient	resilient	ADJ
cana-1231	22	13	and	and	CCONJ
cana-1231	22	14	effective	effective	ADJ
cana-1231	22	15	nlp	nlp	NOUN
cana-1231	22	16	models	model	NOUN
cana-1231	22	17	for	for	ADP
cana-1231	22	18	sentiment	sentiment	NOUN
cana-1231	22	19	analysis	analysis	NOUN
cana-1231	22	20	and	and	CCONJ
cana-1231	22	21	machine	machine	NOUN
cana-1231	22	22	translation	translation	NOUN
cana-1231	22	23	.	.	PUNCT
cana-1231	23	1	keywords	keyword	NOUN
cana-1231	23	2	:	:	PUNCT
cana-1231	23	3	adversarial	adversarial	ADJ
cana-1231	23	4	training	training	NOUN
cana-1231	23	5	,	,	PUNCT
cana-1231	23	6	robust	robust	ADJ
cana-1231	23	7	natural	natural	ADJ
cana-1231	23	8	language	language	NOUN
cana-1231	23	9	processing	processing	NOUN
cana-1231	23	10	,	,	PUNCT
cana-1231	23	11	sentiment	sentiment	NOUN
cana-1231	23	12	analysis	analysis	NOUN
cana-1231	23	13	,	,	PUNCT
cana-1231	23	14	communications	communication	NOUN
cana-1231	23	15	on	on	ADP
cana-1231	23	16	applied	apply	VERB
cana-1231	23	17	nonlinear	nonlinear	ADJ
cana-1231	23	18	analysis	analysis	NOUN
cana-1231	23	19	issn	issn	NOUN
cana-1231	23	20	:	:	PUNCT
cana-1231	23	21	1074	1074	NUM
cana-1231	23	22	-	-	PUNCT
cana-1231	23	23	133x	133x	NUM
cana-1231	23	24	vol	vol	NOUN
cana-1231	23	25	31	31	NUM
cana-1231	23	26	no	no	NOUN
cana-1231	23	27	.	.	PUNCT
cana-1231	24	1	6s	6s	NUM
cana-1231	24	2	(	(	PUNCT
cana-1231	24	3	2024	2024	NUM
cana-1231	24	4	)	)	PUNCT
cana-1231	24	5	389	389	NUM
cana-1231	24	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1231	24	7	machine	machine	NOUN
cana-1231	24	8	translation	translation	NOUN
cana-1231	24	9	,	,	PUNCT
cana-1231	24	10	model	model	NOUN
cana-1231	24	11	robustness	robustness	NOUN
cana-1231	24	12	,	,	PUNCT
cana-1231	24	13	adversarial	adversarial	ADJ
cana-1231	24	14	examples	example	NOUN
cana-1231	24	15	,	,	PUNCT
cana-1231	24	16	text	text	NOUN
cana-1231	24	17	perturbations	perturbation	NOUN
cana-1231	24	18	,	,	PUNCT
cana-1231	24	19	linguistic	linguistic	ADJ
cana-1231	24	20	diversity	diversity	NOUN
cana-1231	24	21	,	,	PUNCT
cana-1231	24	22	translation	translation	NOUN
cana-1231	24	23	accuracy	accuracy	NOUN
cana-1231	24	24	.	.	PUNCT
cana-1231	25	1	1	1	X
cana-1231	25	2	.	.	X
cana-1231	25	3	introduction	introduction	NOUN
cana-1231	25	4	adversarial	adversarial	ADJ
cana-1231	25	5	training	training	NOUN
cana-1231	25	6	has	have	AUX
cana-1231	25	7	significantly	significantly	ADV
cana-1231	25	8	transformed	transform	VERB
cana-1231	25	9	natural	natural	ADJ
cana-1231	25	10	language	language	NOUN
cana-1231	25	11	processing	processing	NOUN
cana-1231	25	12	(	(	PUNCT
cana-1231	25	13	nlp	nlp	NOUN
cana-1231	25	14	)	)	PUNCT
cana-1231	25	15	,	,	PUNCT
cana-1231	25	16	particularly	particularly	ADV
cana-1231	25	17	in	in	ADP
cana-1231	25	18	enhancing	enhance	VERB
cana-1231	25	19	the	the	DET
cana-1231	25	20	robustness	robustness	NOUN
cana-1231	25	21	and	and	CCONJ
cana-1231	25	22	reliability	reliability	NOUN
cana-1231	25	23	of	of	ADP
cana-1231	25	24	models	model	NOUN
cana-1231	25	25	used	use	VERB
cana-1231	25	26	for	for	ADP
cana-1231	25	27	tasks	task	NOUN
cana-1231	25	28	like	like	ADP
cana-1231	25	29	sentiment	sentiment	NOUN
cana-1231	25	30	analysis	analysis	NOUN
cana-1231	25	31	and	and	CCONJ
cana-1231	25	32	machine	machine	NOUN
cana-1231	25	33	translation	translation	NOUN
cana-1231	25	34	.	.	PUNCT
cana-1231	26	1	this	this	DET
cana-1231	26	2	technique	technique	NOUN
cana-1231	26	3	introduces	introduce	VERB
cana-1231	26	4	adversarial	adversarial	ADJ
cana-1231	26	5	examples	example	NOUN
cana-1231	26	6	—	—	PUNCT
cana-1231	26	7	subtly	subtly	ADV
cana-1231	26	8	modified	modify	VERB
cana-1231	26	9	inputs	input	NOUN
cana-1231	26	10	crafted	craft	VERB
cana-1231	26	11	to	to	PART
cana-1231	26	12	deceive	deceive	VERB
cana-1231	26	13	the	the	DET
cana-1231	26	14	model	model	NOUN
cana-1231	26	15	—	—	PUNCT
cana-1231	26	16	during	during	ADP
cana-1231	26	17	training	training	NOUN
cana-1231	26	18	.	.	PUNCT
cana-1231	27	1	by	by	ADP
cana-1231	27	2	doing	do	VERB
cana-1231	27	3	so	so	ADV
cana-1231	27	4	,	,	PUNCT
cana-1231	27	5	it	it	PRON
cana-1231	27	6	compels	compel	VERB
cana-1231	27	7	the	the	DET
cana-1231	27	8	model	model	NOUN
cana-1231	27	9	to	to	PART
cana-1231	27	10	learn	learn	VERB
cana-1231	27	11	more	more	ADJ
cana-1231	27	12	generalized	generalized	ADJ
cana-1231	27	13	features	feature	NOUN
cana-1231	27	14	and	and	CCONJ
cana-1231	27	15	become	become	VERB
cana-1231	27	16	less	less	ADV
cana-1231	27	17	susceptible	susceptible	ADJ
cana-1231	27	18	to	to	ADP
cana-1231	27	19	minor	minor	ADJ
cana-1231	27	20	variations	variation	NOUN
cana-1231	27	21	in	in	ADP
cana-1231	27	22	data	datum	NOUN
cana-1231	27	23	.	.	PUNCT
cana-1231	28	1	recent	recent	ADJ
cana-1231	28	2	advances	advance	NOUN
cana-1231	28	3	in	in	ADP
cana-1231	28	4	adversarial	adversarial	ADJ
cana-1231	28	5	training	training	NOUN
cana-1231	28	6	for	for	ADP
cana-1231	28	7	sentiment	sentiment	NOUN
cana-1231	28	8	analysis	analysis	NOUN
cana-1231	28	9	have	have	AUX
cana-1231	28	10	focused	focus	VERB
cana-1231	28	11	on	on	ADP
cana-1231	28	12	improving	improve	VERB
cana-1231	28	13	models	model	NOUN
cana-1231	28	14	'	'	PART
cana-1231	28	15	ability	ability	NOUN
cana-1231	28	16	to	to	PART
cana-1231	28	17	handle	handle	VERB
cana-1231	28	18	nuanced	nuanced	ADJ
cana-1231	28	19	expressions	expression	NOUN
cana-1231	28	20	of	of	ADP
cana-1231	28	21	sentiment	sentiment	NOUN
cana-1231	28	22	.	.	PUNCT
cana-1231	29	1	traditional	traditional	ADJ
cana-1231	29	2	sentiment	sentiment	NOUN
cana-1231	29	3	analysis	analysis	NOUN
cana-1231	29	4	models	model	NOUN
cana-1231	29	5	often	often	ADV
cana-1231	29	6	struggle	struggle	VERB
cana-1231	29	7	with	with	ADP
cana-1231	29	8	sarcasm	sarcasm	NOUN
cana-1231	29	9	,	,	PUNCT
cana-1231	29	10	subtle	subtle	ADJ
cana-1231	29	11	contextual	contextual	ADJ
cana-1231	29	12	cues	cue	NOUN
cana-1231	29	13	,	,	PUNCT
cana-1231	29	14	or	or	CCONJ
cana-1231	29	15	syntactic	syntactic	ADJ
cana-1231	29	16	variations	variation	NOUN
cana-1231	29	17	that	that	PRON
cana-1231	29	18	can	can	AUX
cana-1231	29	19	significantly	significantly	ADV
cana-1231	29	20	alter	alter	VERB
cana-1231	29	21	the	the	DET
cana-1231	29	22	intended	intend	VERB
cana-1231	29	23	sentiment	sentiment	NOUN
cana-1231	29	24	.	.	PUNCT
cana-1231	30	1	adversarial	adversarial	ADJ
cana-1231	30	2	training	training	NOUN
cana-1231	30	3	methods	method	NOUN
cana-1231	30	4	aim	aim	VERB
cana-1231	30	5	to	to	PART
cana-1231	30	6	mitigate	mitigate	VERB
cana-1231	30	7	these	these	DET
cana-1231	30	8	weaknesses	weakness	NOUN
cana-1231	30	9	by	by	ADP
cana-1231	30	10	exposing	expose	VERB
cana-1231	30	11	models	model	NOUN
cana-1231	30	12	to	to	PART
cana-1231	30	13	diverse	diverse	VERB
cana-1231	30	14	and	and	CCONJ
cana-1231	30	15	challenging	challenging	ADJ
cana-1231	30	16	inputs	input	NOUN
cana-1231	30	17	,	,	PUNCT
cana-1231	30	18	thereby	thereby	ADV
cana-1231	30	19	enhancing	enhance	VERB
cana-1231	30	20	their	their	PRON
cana-1231	30	21	capacity	capacity	NOUN
cana-1231	30	22	to	to	PART
cana-1231	30	23	discern	discern	VERB
cana-1231	30	24	sentiment	sentiment	NOUN
cana-1231	30	25	across	across	ADP
cana-1231	30	26	various	various	ADJ
cana-1231	30	27	linguistic	linguistic	ADJ
cana-1231	30	28	styles	style	NOUN
cana-1231	30	29	and	and	CCONJ
cana-1231	30	30	contexts	context	NOUN
cana-1231	30	31	.	.	PUNCT
cana-1231	31	1	similarly	similarly	ADV
cana-1231	31	2	,	,	PUNCT
cana-1231	31	3	adversarial	adversarial	ADJ
cana-1231	31	4	training	training	NOUN
cana-1231	31	5	is	be	AUX
cana-1231	31	6	crucial	crucial	ADJ
cana-1231	31	7	in	in	ADP
cana-1231	31	8	the	the	DET
cana-1231	31	9	domain	domain	NOUN
cana-1231	31	10	of	of	ADP
cana-1231	31	11	machine	machine	NOUN
cana-1231	31	12	translation	translation	NOUN
cana-1231	31	13	,	,	PUNCT
cana-1231	31	14	addressing	address	VERB
cana-1231	31	15	challenges	challenge	NOUN
cana-1231	31	16	posed	pose	VERB
cana-1231	31	17	by	by	ADP
cana-1231	31	18	linguistic	linguistic	ADJ
cana-1231	31	19	variations	variation	NOUN
cana-1231	31	20	and	and	CCONJ
cana-1231	31	21	idiosyncrasies	idiosyncrasy	NOUN
cana-1231	31	22	across	across	ADP
cana-1231	31	23	different	different	ADJ
cana-1231	31	24	languages	language	NOUN
cana-1231	31	25	.	.	PUNCT
cana-1231	32	1	by	by	ADP
cana-1231	32	2	incorporating	incorporate	VERB
cana-1231	32	3	adversarial	adversarial	ADJ
cana-1231	32	4	examples	example	NOUN
cana-1231	32	5	during	during	ADP
cana-1231	32	6	training	training	NOUN
cana-1231	32	7	,	,	PUNCT
cana-1231	32	8	machine	machine	NOUN
cana-1231	32	9	translation	translation	NOUN
cana-1231	32	10	models	model	NOUN
cana-1231	32	11	can	can	AUX
cana-1231	32	12	better	well	ADV
cana-1231	32	13	adapt	adapt	VERB
cana-1231	32	14	to	to	ADP
cana-1231	32	15	variations	variation	NOUN
cana-1231	32	16	in	in	ADP
cana-1231	32	17	syntax	syntax	NOUN
cana-1231	32	18	,	,	PUNCT
cana-1231	32	19	morphology	morphology	NOUN
cana-1231	32	20	,	,	PUNCT
cana-1231	32	21	and	and	CCONJ
cana-1231	32	22	semantics	semantic	NOUN
cana-1231	32	23	,	,	PUNCT
cana-1231	32	24	resulting	result	VERB
cana-1231	32	25	in	in	ADP
cana-1231	32	26	more	more	ADV
cana-1231	32	27	accurate	accurate	ADJ
cana-1231	32	28	and	and	CCONJ
cana-1231	32	29	contextually	contextually	ADV
cana-1231	32	30	appropriate	appropriate	ADJ
cana-1231	32	31	translations	translation	NOUN
cana-1231	32	32	.	.	PUNCT
cana-1231	33	1	this	this	DET
cana-1231	33	2	approach	approach	NOUN
cana-1231	33	3	not	not	PART
cana-1231	33	4	only	only	ADV
cana-1231	33	5	enhances	enhance	VERB
cana-1231	33	6	translation	translation	NOUN
cana-1231	33	7	fidelity	fidelity	NOUN
cana-1231	33	8	but	but	CCONJ
cana-1231	33	9	also	also	ADV
cana-1231	33	10	fortifies	fortify	VERB
cana-1231	33	11	the	the	DET
cana-1231	33	12	model	model	NOUN
cana-1231	33	13	against	against	ADP
cana-1231	33	14	adversarial	adversarial	ADJ
cana-1231	33	15	attacks	attack	NOUN
cana-1231	33	16	intended	intend	VERB
cana-1231	33	17	to	to	PART
cana-1231	33	18	manipulate	manipulate	VERB
cana-1231	33	19	translation	translation	NOUN
cana-1231	33	20	outputs	output	NOUN
cana-1231	33	21	.	.	PUNCT
cana-1231	34	1	figure	figure	VERB
cana-1231	34	2	1	1	NUM
cana-1231	34	3	:	:	PUNCT
cana-1231	34	4	speech	speech	NOUN
cana-1231	34	5	recognition	recognition	NOUN
cana-1231	34	6	with	with	ADP
cana-1231	34	7	translation	translation	NOUN
cana-1231	34	8	and	and	CCONJ
cana-1231	34	9	text	text	NOUN
cana-1231	34	10	mining	mining	NOUN
cana-1231	34	11	(	(	PUNCT
cana-1231	34	12	nlp	nlp	NOUN
cana-1231	34	13	)	)	PUNCT
cana-1231	34	14	recent	recent	ADJ
cana-1231	34	15	research	research	NOUN
cana-1231	34	16	has	have	AUX
cana-1231	34	17	explored	explore	VERB
cana-1231	34	18	innovative	innovative	ADJ
cana-1231	34	19	techniques	technique	NOUN
cana-1231	34	20	to	to	PART
cana-1231	34	21	optimize	optimize	VERB
cana-1231	34	22	adversarial	adversarial	ADJ
cana-1231	34	23	training	training	NOUN
cana-1231	34	24	for	for	ADP
cana-1231	34	25	nlp	nlp	NOUN
cana-1231	34	26	tasks	task	NOUN
cana-1231	34	27	.	.	PUNCT
cana-1231	35	1	these	these	PRON
cana-1231	35	2	include	include	VERB
cana-1231	35	3	integrating	integrate	VERB
cana-1231	35	4	generative	generative	ADJ
cana-1231	35	5	adversarial	adversarial	ADJ
cana-1231	35	6	networks	network	NOUN
cana-1231	35	7	(	(	PUNCT
cana-1231	35	8	gans	gan	NOUN
cana-1231	35	9	)	)	PUNCT
cana-1231	35	10	to	to	PART
cana-1231	35	11	generate	generate	VERB
cana-1231	35	12	realistic	realistic	ADJ
cana-1231	35	13	adversarial	adversarial	ADJ
cana-1231	35	14	examples	example	NOUN
cana-1231	35	15	,	,	PUNCT
cana-1231	35	16	employing	employ	VERB
cana-1231	35	17	reinforcement	reinforcement	NOUN
cana-1231	35	18	learning	learning	NOUN
cana-1231	35	19	-	-	PUNCT
cana-1231	35	20	based	base	VERB
cana-1231	35	21	strategies	strategy	NOUN
cana-1231	35	22	to	to	PART
cana-1231	35	23	dynamically	dynamically	ADV
cana-1231	35	24	adjust	adjust	VERB
cana-1231	35	25	model	model	NOUN
cana-1231	35	26	parameters	parameter	NOUN
cana-1231	35	27	in	in	ADP
cana-1231	35	28	response	response	NOUN
cana-1231	35	29	to	to	ADP
cana-1231	35	30	adversarial	adversarial	ADJ
cana-1231	35	31	inputs	input	NOUN
cana-1231	35	32	,	,	PUNCT
cana-1231	35	33	and	and	CCONJ
cana-1231	35	34	developing	develop	VERB
cana-1231	35	35	novel	novel	ADJ
cana-1231	35	36	loss	loss	NOUN
cana-1231	35	37	functions	function	NOUN
cana-1231	35	38	that	that	PRON
cana-1231	35	39	prioritize	prioritize	VERB
cana-1231	35	40	robustness	robustness	NOUN
cana-1231	35	41	alongside	alongside	ADP
cana-1231	35	42	traditional	traditional	ADJ
cana-1231	35	43	performance	performance	NOUN
cana-1231	35	44	metrics	metric	NOUN
cana-1231	35	45	.	.	PUNCT
cana-1231	36	1	these	these	DET
cana-1231	36	2	advancements	advancement	NOUN
cana-1231	36	3	indicate	indicate	VERB
cana-1231	36	4	a	a	DET
cana-1231	36	5	shift	shift	NOUN
cana-1231	36	6	towards	towards	ADP
cana-1231	36	7	more	more	ADV
cana-1231	36	8	sophisticated	sophisticated	ADJ
cana-1231	36	9	and	and	CCONJ
cana-1231	36	10	resilient	resilient	ADJ
cana-1231	36	11	nlp	nlp	NOUN
cana-1231	36	12	systems	system	NOUN
cana-1231	36	13	capable	capable	ADJ
cana-1231	36	14	of	of	ADP
cana-1231	36	15	maintaining	maintain	VERB
cana-1231	36	16	high	high	ADJ
cana-1231	36	17	accuracy	accuracy	NOUN
cana-1231	36	18	and	and	CCONJ
cana-1231	36	19	reliability	reliability	NOUN
cana-1231	36	20	across	across	ADP
cana-1231	36	21	diverse	diverse	ADJ
cana-1231	36	22	conditions	condition	NOUN
cana-1231	36	23	.	.	PUNCT
cana-1231	37	1	communications	communication	NOUN
cana-1231	37	2	on	on	ADP
cana-1231	37	3	applied	apply	VERB
cana-1231	37	4	nonlinear	nonlinear	ADJ
cana-1231	37	5	analysis	analysis	NOUN
cana-1231	37	6	issn	issn	NOUN
cana-1231	37	7	:	:	PUNCT
cana-1231	37	8	1074	1074	NUM
cana-1231	37	9	-	-	PUNCT
cana-1231	37	10	133x	133x	NUM
cana-1231	37	11	vol	vol	NOUN
cana-1231	37	12	31	31	NUM
cana-1231	37	13	no	no	NOUN
cana-1231	37	14	.	.	PUNCT
cana-1231	38	1	6s	6s	NUM
cana-1231	38	2	(	(	PUNCT
cana-1231	38	3	2024	2024	NUM
cana-1231	38	4	)	)	PUNCT
cana-1231	38	5	390	390	NUM
cana-1231	38	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1231	38	7	furthermore	furthermore	ADV
cana-1231	38	8	,	,	PUNCT
cana-1231	38	9	adversarial	adversarial	ADJ
cana-1231	38	10	training	training	NOUN
cana-1231	38	11	extends	extend	VERB
cana-1231	38	12	beyond	beyond	ADP
cana-1231	38	13	specific	specific	ADJ
cana-1231	38	14	tasks	task	NOUN
cana-1231	38	15	to	to	PART
cana-1231	38	16	address	address	VERB
cana-1231	38	17	broader	broad	ADJ
cana-1231	38	18	challenges	challenge	NOUN
cana-1231	38	19	in	in	ADP
cana-1231	38	20	nlp	nlp	NOUN
cana-1231	38	21	such	such	ADJ
cana-1231	38	22	as	as	ADP
cana-1231	38	23	domain	domain	NOUN
cana-1231	38	24	adaptation	adaptation	NOUN
cana-1231	38	25	and	and	CCONJ
cana-1231	38	26	model	model	NOUN
cana-1231	38	27	generalization	generalization	NOUN
cana-1231	38	28	.	.	PUNCT
cana-1231	39	1	by	by	ADP
cana-1231	39	2	exposing	expose	VERB
cana-1231	39	3	models	model	NOUN
cana-1231	39	4	to	to	PART
cana-1231	39	5	diverse	diverse	VERB
cana-1231	39	6	adversarially	adversarially	ADV
cana-1231	39	7	crafted	craft	VERB
cana-1231	39	8	inputs	input	NOUN
cana-1231	39	9	,	,	PUNCT
cana-1231	39	10	researchers	researcher	NOUN
cana-1231	39	11	aim	aim	VERB
cana-1231	39	12	to	to	PART
cana-1231	39	13	create	create	VERB
cana-1231	39	14	nlp	nlp	NOUN
cana-1231	39	15	systems	system	NOUN
cana-1231	39	16	that	that	PRON
cana-1231	39	17	demonstrate	demonstrate	VERB
cana-1231	39	18	robust	robust	ADJ
cana-1231	39	19	performance	performance	NOUN
cana-1231	39	20	across	across	ADP
cana-1231	39	21	different	different	ADJ
cana-1231	39	22	domains	domain	NOUN
cana-1231	39	23	,	,	PUNCT
cana-1231	39	24	datasets	dataset	NOUN
cana-1231	39	25	,	,	PUNCT
cana-1231	39	26	and	and	CCONJ
cana-1231	39	27	real	real	ADJ
cana-1231	39	28	-	-	PUNCT
cana-1231	39	29	world	world	NOUN
cana-1231	39	30	scenarios	scenario	NOUN
cana-1231	39	31	.	.	PUNCT
cana-1231	40	1	this	this	DET
cana-1231	40	2	comprehensive	comprehensive	ADJ
cana-1231	40	3	approach	approach	NOUN
cana-1231	40	4	not	not	PART
cana-1231	40	5	only	only	ADV
cana-1231	40	6	enhances	enhance	VERB
cana-1231	40	7	the	the	DET
cana-1231	40	8	practical	practical	ADJ
cana-1231	40	9	utility	utility	NOUN
cana-1231	40	10	of	of	ADP
cana-1231	40	11	nlp	nlp	NOUN
cana-1231	40	12	models	model	NOUN
cana-1231	40	13	but	but	CCONJ
cana-1231	40	14	also	also	ADV
cana-1231	40	15	mitigates	mitigate	VERB
cana-1231	40	16	concerns	concern	NOUN
cana-1231	40	17	related	relate	VERB
cana-1231	40	18	to	to	ADP
cana-1231	40	19	biases	bias	NOUN
cana-1231	40	20	and	and	CCONJ
cana-1231	40	21	vulnerabilities	vulnerability	NOUN
cana-1231	40	22	in	in	ADP
cana-1231	40	23	varied	varied	ADJ
cana-1231	40	24	operational	operational	ADJ
cana-1231	40	25	settings	setting	NOUN
cana-1231	40	26	.	.	PUNCT
cana-1231	41	1	in	in	ADP
cana-1231	41	2	conclusion	conclusion	NOUN
cana-1231	41	3	,	,	PUNCT
cana-1231	41	4	adversarial	adversarial	ADJ
cana-1231	41	5	training	training	NOUN
cana-1231	41	6	represents	represent	VERB
cana-1231	41	7	a	a	DET
cana-1231	41	8	critical	critical	ADJ
cana-1231	41	9	paradigm	paradigm	NOUN
cana-1231	41	10	in	in	ADP
cana-1231	41	11	advancing	advance	VERB
cana-1231	41	12	the	the	DET
cana-1231	41	13	cutting	cutting	NOUN
cana-1231	41	14	-	-	PUNCT
cana-1231	41	15	edge	edge	NOUN
cana-1231	41	16	in	in	ADP
cana-1231	41	17	nlp	nlp	NOUN
cana-1231	41	18	,	,	PUNCT
cana-1231	41	19	particularly	particularly	ADV
cana-1231	41	20	in	in	ADP
cana-1231	41	21	sentiment	sentiment	NOUN
cana-1231	41	22	analysis	analysis	NOUN
cana-1231	41	23	and	and	CCONJ
cana-1231	41	24	machine	machine	NOUN
cana-1231	41	25	translation	translation	NOUN
cana-1231	41	26	.	.	PUNCT
cana-1231	42	1	by	by	ADP
cana-1231	42	2	leveraging	leverage	VERB
cana-1231	42	3	adversarial	adversarial	ADJ
cana-1231	42	4	examples	example	NOUN
cana-1231	42	5	to	to	PART
cana-1231	42	6	refine	refine	VERB
cana-1231	42	7	model	model	NOUN
cana-1231	42	8	capabilities	capability	NOUN
cana-1231	42	9	and	and	CCONJ
cana-1231	42	10	enhance	enhance	VERB
cana-1231	42	11	resilience	resilience	NOUN
cana-1231	42	12	,	,	PUNCT
cana-1231	42	13	researchers	researcher	NOUN
cana-1231	42	14	are	be	AUX
cana-1231	42	15	paving	pave	VERB
cana-1231	42	16	the	the	DET
cana-1231	42	17	way	way	NOUN
cana-1231	42	18	towards	towards	ADP
cana-1231	42	19	more	more	ADV
cana-1231	42	20	adaptive	adaptive	ADJ
cana-1231	42	21	,	,	PUNCT
cana-1231	42	22	reliable	reliable	ADJ
cana-1231	42	23	,	,	PUNCT
cana-1231	42	24	and	and	CCONJ
cana-1231	42	25	trustworthy	trustworthy	ADJ
cana-1231	42	26	nlp	nlp	NOUN
cana-1231	42	27	systems	system	NOUN
cana-1231	42	28	capable	capable	ADJ
cana-1231	42	29	of	of	ADP
cana-1231	42	30	meeting	meet	VERB
cana-1231	42	31	the	the	DET
cana-1231	42	32	intricate	intricate	ADJ
cana-1231	42	33	demands	demand	NOUN
cana-1231	42	34	of	of	ADP
cana-1231	42	35	modern	modern	ADJ
cana-1231	42	36	applications	application	NOUN
cana-1231	42	37	and	and	CCONJ
cana-1231	42	38	addressing	address	VERB
cana-1231	42	39	real	real	ADJ
cana-1231	42	40	-	-	PUNCT
cana-1231	42	41	world	world	NOUN
cana-1231	42	42	challenges	challenge	NOUN
cana-1231	42	43	effectively	effectively	ADV
cana-1231	42	44	.	.	PUNCT
cana-1231	43	1	2	2	X
cana-1231	43	2	.	.	X
cana-1231	43	3	literature	literature	NOUN
cana-1231	43	4	survey	survey	NOUN
cana-1231	43	5	adversarial	adversarial	ADJ
cana-1231	43	6	training	training	NOUN
cana-1231	43	7	has	have	AUX
cana-1231	43	8	emerged	emerge	VERB
cana-1231	43	9	as	as	ADP
cana-1231	43	10	a	a	DET
cana-1231	43	11	crucial	crucial	ADJ
cana-1231	43	12	technique	technique	NOUN
cana-1231	43	13	to	to	PART
cana-1231	43	14	enhance	enhance	VERB
cana-1231	43	15	the	the	DET
cana-1231	43	16	robustness	robustness	NOUN
cana-1231	43	17	and	and	CCONJ
cana-1231	43	18	accuracy	accuracy	NOUN
cana-1231	43	19	of	of	ADP
cana-1231	43	20	sentiment	sentiment	NOUN
cana-1231	43	21	analysis	analysis	NOUN
cana-1231	43	22	models	model	NOUN
cana-1231	43	23	.	.	PUNCT
cana-1231	44	1	zhao	zhao	PROPN
cana-1231	44	2	et	et	PROPN
cana-1231	44	3	al	al	PROPN
cana-1231	44	4	.	.	PROPN
cana-1231	44	5	(	(	PUNCT
cana-1231	44	6	2020	2020	NUM
cana-1231	44	7	)	)	PUNCT
cana-1231	44	8	introduced	introduce	VERB
cana-1231	44	9	adversarial	adversarial	ADJ
cana-1231	44	10	training	training	NOUN
cana-1231	44	11	methods	method	NOUN
cana-1231	44	12	to	to	PART
cana-1231	44	13	improve	improve	VERB
cana-1231	44	14	models	model	NOUN
cana-1231	44	15	'	'	PART
cana-1231	44	16	resilience	resilience	NOUN
cana-1231	44	17	against	against	ADP
cana-1231	44	18	adversarial	adversarial	ADJ
cana-1231	44	19	examples	example	NOUN
cana-1231	44	20	and	and	CCONJ
cana-1231	44	21	subtle	subtle	ADJ
cana-1231	44	22	variations	variation	NOUN
cana-1231	44	23	in	in	ADP
cana-1231	44	24	sentiment	sentiment	NOUN
cana-1231	44	25	expression	expression	NOUN
cana-1231	44	26	.	.	PUNCT
cana-1231	45	1	zhang	zhang	PROPN
cana-1231	45	2	et	et	PROPN
cana-1231	45	3	al	al	PROPN
cana-1231	45	4	.	.	PROPN
cana-1231	46	1	(	(	PUNCT
cana-1231	46	2	2019	2019	NUM
cana-1231	46	3	)	)	PUNCT
cana-1231	46	4	applied	apply	VERB
cana-1231	46	5	these	these	DET
cana-1231	46	6	techniques	technique	NOUN
cana-1231	46	7	to	to	PART
cana-1231	46	8	address	address	VERB
cana-1231	46	9	challenges	challenge	NOUN
cana-1231	46	10	in	in	ADP
cana-1231	46	11	sentiment	sentiment	NOUN
cana-1231	46	12	classification	classification	NOUN
cana-1231	46	13	,	,	PUNCT
cana-1231	46	14	particularly	particularly	ADV
cana-1231	46	15	handling	handle	VERB
cana-1231	46	16	sarcasm	sarcasm	NOUN
cana-1231	46	17	and	and	CCONJ
cana-1231	46	18	nuanced	nuanced	ADJ
cana-1231	46	19	sentiment	sentiment	NOUN
cana-1231	46	20	cues	cue	VERB
cana-1231	46	21	.	.	PUNCT
cana-1231	47	1	similarly	similarly	ADV
cana-1231	47	2	,	,	PUNCT
cana-1231	47	3	liu	liu	PROPN
cana-1231	47	4	et	et	PROPN
cana-1231	47	5	al	al	PROPN
cana-1231	47	6	.	.	PROPN
cana-1231	47	7	(	(	PUNCT
cana-1231	47	8	2021	2021	NUM
cana-1231	47	9	)	)	PUNCT
cana-1231	47	10	tailored	tailor	VERB
cana-1231	47	11	adversarial	adversarial	ADJ
cana-1231	47	12	training	training	NOUN
cana-1231	47	13	methods	method	NOUN
cana-1231	47	14	for	for	ADP
cana-1231	47	15	fine	fine	ADV
cana-1231	47	16	-	-	PUNCT
cana-1231	47	17	grained	grain	VERB
cana-1231	47	18	sentiment	sentiment	NOUN
cana-1231	47	19	analysis	analysis	NOUN
cana-1231	47	20	tasks	task	NOUN
cana-1231	47	21	,	,	PUNCT
cana-1231	47	22	significantly	significantly	ADV
cana-1231	47	23	improving	improve	VERB
cana-1231	47	24	model	model	NOUN
cana-1231	47	25	accuracy	accuracy	NOUN
cana-1231	47	26	and	and	CCONJ
cana-1231	47	27	generalization	generalization	NOUN
cana-1231	47	28	across	across	ADP
cana-1231	47	29	different	different	ADJ
cana-1231	47	30	sentiment	sentiment	NOUN
cana-1231	47	31	classes	class	NOUN
cana-1231	47	32	.	.	PUNCT
cana-1231	48	1	these	these	DET
cana-1231	48	2	studies	study	NOUN
cana-1231	48	3	underscore	underscore	VERB
cana-1231	48	4	the	the	DET
cana-1231	48	5	potential	potential	NOUN
cana-1231	48	6	of	of	ADP
cana-1231	48	7	adversarial	adversarial	ADJ
cana-1231	48	8	training	training	NOUN
cana-1231	48	9	in	in	ADP
cana-1231	48	10	refining	refining	NOUN
cana-1231	48	11	sentiment	sentiment	NOUN
cana-1231	48	12	analysis	analysis	NOUN
cana-1231	48	13	by	by	ADP
cana-1231	48	14	making	make	VERB
cana-1231	48	15	models	model	NOUN
cana-1231	48	16	more	more	ADV
cana-1231	48	17	robust	robust	ADJ
cana-1231	48	18	to	to	ADP
cana-1231	48	19	various	various	ADJ
cana-1231	48	20	adversarial	adversarial	ADJ
cana-1231	48	21	and	and	CCONJ
cana-1231	48	22	subtle	subtle	ADJ
cana-1231	48	23	sentiment	sentiment	NOUN
cana-1231	48	24	variations	variation	NOUN
cana-1231	48	25	.	.	PUNCT
cana-1231	49	1	in	in	ADP
cana-1231	49	2	the	the	DET
cana-1231	49	3	realm	realm	NOUN
cana-1231	49	4	of	of	ADP
cana-1231	49	5	machine	machine	NOUN
cana-1231	49	6	translation	translation	NOUN
cana-1231	49	7	,	,	PUNCT
cana-1231	49	8	adversarial	adversarial	ADJ
cana-1231	49	9	training	training	NOUN
cana-1231	49	10	has	have	AUX
cana-1231	49	11	been	be	AUX
cana-1231	49	12	pivotal	pivotal	ADJ
cana-1231	49	13	in	in	ADP
cana-1231	49	14	enhancing	enhance	VERB
cana-1231	49	15	model	model	NOUN
cana-1231	49	16	performance	performance	NOUN
cana-1231	49	17	and	and	CCONJ
cana-1231	49	18	resilience	resilience	NOUN
cana-1231	49	19	against	against	ADP
cana-1231	49	20	adversarial	adversarial	ADJ
cana-1231	49	21	attacks	attack	NOUN
cana-1231	49	22	wu	wu	PROPN
cana-1231	49	23	et	et	PROPN
cana-1231	49	24	al	al	PROPN
cana-1231	49	25	.	.	PROPN
cana-1231	50	1	(	(	PUNCT
cana-1231	50	2	2018	2018	NUM
cana-1231	50	3	)	)	PUNCT
cana-1231	50	4	studied	study	VERB
cana-1231	50	5	the	the	DET
cana-1231	50	6	use	use	NOUN
cana-1231	50	7	of	of	ADP
cana-1231	50	8	adversarial	adversarial	ADJ
cana-1231	50	9	training	training	NOUN
cana-1231	50	10	in	in	ADP
cana-1231	50	11	neural	neural	ADJ
cana-1231	50	12	machine	machine	NOUN
cana-1231	50	13	translation	translation	NOUN
cana-1231	50	14	improving	improve	VERB
cana-1231	50	15	the	the	DET
cana-1231	50	16	models	model	NOUN
cana-1231	50	17	'	'	PART
cana-1231	50	18	performance	performance	NOUN
cana-1231	50	19	in	in	ADP
cana-1231	50	20	cross	cross	ADJ
cana-1231	50	21	-	-	ADJ
cana-1231	50	22	lingual	lingual	ADJ
cana-1231	50	23	scenarios	scenario	NOUN
cana-1231	50	24	.	.	PUNCT
cana-1231	51	1	zhang	zhang	PROPN
cana-1231	51	2	and	and	CCONJ
cana-1231	51	3	zou	zou	PROPN
cana-1231	51	4	(	(	PUNCT
cana-1231	51	5	2020	2020	NUM
cana-1231	51	6	)	)	PUNCT
cana-1231	51	7	proposed	propose	VERB
cana-1231	51	8	techniques	technique	NOUN
cana-1231	51	9	to	to	PART
cana-1231	51	10	enhance	enhance	VERB
cana-1231	51	11	translation	translation	NOUN
cana-1231	51	12	quality	quality	NOUN
cana-1231	51	13	by	by	ADP
cana-1231	51	14	addressing	address	VERB
cana-1231	51	15	linguistic	linguistic	ADJ
cana-1231	51	16	variations	variation	NOUN
cana-1231	51	17	and	and	CCONJ
cana-1231	51	18	syntactic	syntactic	ADJ
cana-1231	51	19	differences	difference	NOUN
cana-1231	51	20	between	between	ADP
cana-1231	51	21	source	source	NOUN
cana-1231	51	22	and	and	CCONJ
cana-1231	51	23	target	target	NOUN
cana-1231	51	24	languages	language	NOUN
cana-1231	51	25	.	.	PUNCT
cana-1231	52	1	lee	lee	PROPN
cana-1231	52	2	et	et	PROPN
cana-1231	52	3	al	al	PROPN
cana-1231	52	4	.	.	PROPN
cana-1231	52	5	(	(	PUNCT
cana-1231	52	6	2021	2021	NUM
cana-1231	52	7	)	)	PUNCT
cana-1231	52	8	developed	develop	VERB
cana-1231	52	9	strategies	strategy	NOUN
cana-1231	52	10	for	for	ADP
cana-1231	52	11	robust	robust	ADJ
cana-1231	52	12	multilingual	multilingual	ADJ
cana-1231	52	13	translation	translation	NOUN
cana-1231	52	14	,	,	PUNCT
cana-1231	52	15	ensuring	ensure	VERB
cana-1231	52	16	accurate	accurate	ADJ
cana-1231	52	17	and	and	CCONJ
cana-1231	52	18	contextually	contextually	ADV
cana-1231	52	19	appropriate	appropriate	ADJ
cana-1231	52	20	translations	translation	NOUN
cana-1231	52	21	across	across	ADP
cana-1231	52	22	diverse	diverse	ADJ
cana-1231	52	23	languages	language	NOUN
cana-1231	52	24	.	.	PUNCT
cana-1231	53	1	these	these	DET
cana-1231	53	2	advancements	advancement	NOUN
cana-1231	53	3	highlight	highlight	VERB
cana-1231	53	4	the	the	DET
cana-1231	53	5	role	role	NOUN
cana-1231	53	6	of	of	ADP
cana-1231	53	7	adversarial	adversarial	ADJ
cana-1231	53	8	training	training	NOUN
cana-1231	53	9	in	in	ADP
cana-1231	53	10	overcoming	overcome	VERB
cana-1231	53	11	the	the	DET
cana-1231	53	12	inherent	inherent	ADJ
cana-1231	53	13	challenges	challenge	NOUN
cana-1231	53	14	in	in	ADP
cana-1231	53	15	machine	machine	NOUN
cana-1231	53	16	translation	translation	NOUN
cana-1231	53	17	,	,	PUNCT
cana-1231	53	18	ultimately	ultimately	ADV
cana-1231	53	19	leading	lead	VERB
cana-1231	53	20	to	to	ADP
cana-1231	53	21	more	more	ADV
cana-1231	53	22	reliable	reliable	ADJ
cana-1231	53	23	and	and	CCONJ
cana-1231	53	24	accurate	accurate	ADJ
cana-1231	53	25	translations	translation	NOUN
cana-1231	53	26	.	.	PUNCT
cana-1231	54	1	general	general	ADJ
cana-1231	54	2	advancements	advancement	NOUN
cana-1231	54	3	in	in	ADP
cana-1231	54	4	adversarial	adversarial	ADJ
cana-1231	54	5	training	training	NOUN
cana-1231	54	6	have	have	AUX
cana-1231	54	7	been	be	AUX
cana-1231	54	8	pivotal	pivotal	ADJ
cana-1231	54	9	in	in	ADP
cana-1231	54	10	shaping	shape	VERB
cana-1231	54	11	robust	robust	ADJ
cana-1231	54	12	machine	machine	NOUN
cana-1231	54	13	learning	learning	NOUN
cana-1231	54	14	models	model	NOUN
cana-1231	54	15	across	across	ADP
cana-1231	54	16	various	various	ADJ
cana-1231	54	17	domains	domain	NOUN
cana-1231	54	18	.	.	PUNCT
cana-1231	55	1	goodfellow	goodfellow	PROPN
cana-1231	55	2	et	et	PROPN
cana-1231	55	3	al	al	PROPN
cana-1231	55	4	.	.	PROPN
cana-1231	56	1	(	(	PUNCT
cana-1231	56	2	2014	2014	NUM
cana-1231	56	3	)	)	PUNCT
cana-1231	56	4	laid	lay	VERB
cana-1231	56	5	the	the	DET
cana-1231	56	6	foundation	foundation	NOUN
cana-1231	56	7	for	for	ADP
cana-1231	56	8	adversarial	adversarial	ADJ
cana-1231	56	9	training	training	NOUN
cana-1231	56	10	,	,	PUNCT
cana-1231	56	11	introducing	introduce	VERB
cana-1231	56	12	its	its	PRON
cana-1231	56	13	application	application	NOUN
cana-1231	56	14	across	across	ADP
cana-1231	56	15	different	different	ADJ
cana-1231	56	16	fields	field	NOUN
cana-1231	56	17	.	.	PUNCT
cana-1231	57	1	madry	madry	ADJ
cana-1231	57	2	et	et	PROPN
cana-1231	57	3	al	al	PROPN
cana-1231	57	4	.	.	PROPN
cana-1231	58	1	(	(	PUNCT
cana-1231	58	2	2018	2018	NUM
cana-1231	58	3	)	)	PUNCT
cana-1231	58	4	further	far	ADV
cana-1231	58	5	studied	study	VERB
cana-1231	58	6	techniques	technique	NOUN
cana-1231	58	7	to	to	PART
cana-1231	58	8	enhance	enhance	VERB
cana-1231	58	9	model	model	NOUN
cana-1231	58	10	robustness	robustness	NOUN
cana-1231	58	11	and	and	CCONJ
cana-1231	58	12	generalization	generalization	NOUN
cana-1231	58	13	capabilities	capability	NOUN
cana-1231	58	14	.	.	PUNCT
cana-1231	59	1	barocas	barocas	PROPN
cana-1231	59	2	and	and	CCONJ
cana-1231	59	3	selbst	selbst	PROPN
cana-1231	59	4	(	(	PUNCT
cana-1231	59	5	2016	2016	NUM
cana-1231	59	6	)	)	PUNCT
cana-1231	59	7	discussed	discuss	VERB
cana-1231	59	8	the	the	DET
cana-1231	59	9	ethical	ethical	ADJ
cana-1231	59	10	considerations	consideration	NOUN
cana-1231	59	11	in	in	ADP
cana-1231	59	12	adversarial	adversarial	ADJ
cana-1231	59	13	training	training	NOUN
cana-1231	59	14	,	,	PUNCT
cana-1231	59	15	addressing	address	VERB
cana-1231	59	16	issues	issue	NOUN
cana-1231	59	17	related	relate	VERB
cana-1231	59	18	to	to	ADP
cana-1231	59	19	fairness	fairness	NOUN
cana-1231	59	20	,	,	PUNCT
cana-1231	59	21	bias	bias	NOUN
cana-1231	59	22	mitigation	mitigation	NOUN
cana-1231	59	23	,	,	PUNCT
cana-1231	59	24	and	and	CCONJ
cana-1231	59	25	model	model	NOUN
cana-1231	59	26	interpretability	interpretability	NOUN
cana-1231	59	27	.	.	PUNCT
cana-1231	60	1	this	this	DET
cana-1231	60	2	body	body	NOUN
cana-1231	60	3	of	of	ADP
cana-1231	60	4	work	work	NOUN
cana-1231	60	5	has	have	AUX
cana-1231	60	6	significantly	significantly	ADV
cana-1231	60	7	contributed	contribute	VERB
cana-1231	60	8	to	to	ADP
cana-1231	60	9	the	the	DET
cana-1231	60	10	development	development	NOUN
cana-1231	60	11	of	of	ADP
cana-1231	60	12	more	more	ADV
cana-1231	60	13	resilient	resilient	ADJ
cana-1231	60	14	and	and	CCONJ
cana-1231	60	15	ethically	ethically	ADV
cana-1231	60	16	sound	sound	VERB
cana-1231	60	17	ai	ai	PROPN
cana-1231	60	18	systems	system	NOUN
cana-1231	60	19	,	,	PUNCT
cana-1231	60	20	demonstrating	demonstrate	VERB
cana-1231	60	21	the	the	DET
cana-1231	60	22	broad	broad	ADJ
cana-1231	60	23	impact	impact	NOUN
cana-1231	60	24	of	of	ADP
cana-1231	60	25	adversarial	adversarial	ADJ
cana-1231	60	26	training	training	NOUN
cana-1231	60	27	beyond	beyond	ADP
cana-1231	60	28	specific	specific	ADJ
cana-1231	60	29	applications	application	NOUN
cana-1231	60	30	like	like	ADP
cana-1231	60	31	sentiment	sentiment	NOUN
cana-1231	60	32	analysis	analysis	NOUN
cana-1231	60	33	and	and	CCONJ
cana-1231	60	34	machine	machine	NOUN
cana-1231	60	35	translation	translation	NOUN
cana-1231	60	36	.	.	PUNCT
cana-1231	61	1	communications	communication	NOUN
cana-1231	61	2	on	on	ADP
cana-1231	61	3	applied	apply	VERB
cana-1231	61	4	nonlinear	nonlinear	ADJ
cana-1231	61	5	analysis	analysis	NOUN
cana-1231	61	6	issn	issn	NOUN
cana-1231	61	7	:	:	PUNCT
cana-1231	61	8	1074	1074	NUM
cana-1231	61	9	-	-	PUNCT
cana-1231	61	10	133x	133x	NUM
cana-1231	61	11	vol	vol	NOUN
cana-1231	61	12	31	31	NUM
cana-1231	61	13	no	no	NOUN
cana-1231	61	14	.	.	PUNCT
cana-1231	62	1	6s	6s	NUM
cana-1231	62	2	(	(	PUNCT
cana-1231	62	3	2024	2024	NUM
cana-1231	62	4	)	)	PUNCT
cana-1231	62	5	391	391	NUM
cana-1231	62	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-1231	62	7	study	study	NOUN
cana-1231	62	8	domain	domain	NOUN
cana-1231	62	9	objective	objective	ADJ
cana-1231	62	10	adversarial	adversarial	ADJ
cana-1231	62	11	method	method	NOUN
cana-1231	62	12	key	key	ADJ
cana-1231	62	13	findings	finding	NOUN
cana-1231	62	14	strengths	strength	NOUN
cana-1231	62	15	weaknesses	weakness	NOUN
cana-1231	62	16	goodfellow	goodfellow	PROPN
cana-1231	62	17	et	et	PROPN
cana-1231	62	18	al	al	PROPN
cana-1231	62	19	.	.	PROPN
cana-1231	63	1	(	(	PUNCT
cana-1231	63	2	2015	2015	NUM
cana-1231	63	3	)	)	PUNCT
cana-1231	63	4	general	general	ADJ
cana-1231	63	5	nlp	nlp	NOUN
cana-1231	63	6	introduce	introduce	VERB
cana-1231	63	7	adversarial	adversarial	ADJ
cana-1231	63	8	training	training	NOUN
cana-1231	63	9	to	to	PART
cana-1231	63	10	improve	improve	VERB
cana-1231	63	11	model	model	NOUN
cana-1231	63	12	robustness	robustness	NOUN
cana-1231	63	13	fast	fast	ADJ
cana-1231	63	14	gradient	gradient	NOUN
cana-1231	63	15	sign	sign	NOUN
cana-1231	63	16	method	method	NOUN
cana-1231	63	17	(	(	PUNCT
cana-1231	63	18	fgsm	fgsm	NOUN
cana-1231	63	19	)	)	PUNCT
cana-1231	63	20	improved	improve	VERB
cana-1231	63	21	model	model	NOUN
cana-1231	63	22	robustness	robustness	NOUN
cana-1231	63	23	against	against	ADP
cana-1231	63	24	adversarial	adversarial	ADJ
cana-1231	63	25	examples	example	NOUN
cana-1231	63	26	simple	simple	ADJ
cana-1231	63	27	and	and	CCONJ
cana-1231	63	28	efficient	efficient	ADJ
cana-1231	63	29	adversarial	adversarial	ADJ
cana-1231	63	30	example	example	NOUN
cana-1231	63	31	generation	generation	NOUN
cana-1231	63	32	limited	limit	VERB
cana-1231	63	33	to	to	ADP
cana-1231	63	34	small	small	ADJ
cana-1231	63	35	perturbations	perturbation	NOUN
cana-1231	63	36	miyato	miyato	VERB
cana-1231	63	37	et	et	PROPN
cana-1231	63	38	al	al	PROPN
cana-1231	63	39	.	.	PROPN
cana-1231	64	1	(	(	PUNCT
cana-1231	64	2	2017	2017	NUM
cana-1231	64	3	)	)	PUNCT
cana-1231	64	4	text	text	NOUN
cana-1231	64	5	classification	classification	NOUN
cana-1231	64	6	apply	apply	VERB
cana-1231	64	7	adversarial	adversarial	ADJ
cana-1231	64	8	training	training	NOUN
cana-1231	64	9	for	for	ADP
cana-1231	64	10	semisupervised	semisupervised	ADJ
cana-1231	64	11	text	text	NOUN
cana-1231	64	12	classification	classification	NOUN
cana-1231	64	13	virtual	virtual	ADJ
cana-1231	64	14	adversarial	adversarial	ADJ
cana-1231	64	15	training	training	NOUN
cana-1231	64	16	(	(	PUNCT
cana-1231	64	17	vat	vat	NOUN
cana-1231	64	18	)	)	PUNCT
cana-1231	64	19	enhanced	enhance	VERB
cana-1231	64	20	model	model	NOUN
cana-1231	64	21	performance	performance	NOUN
cana-1231	64	22	with	with	ADP
cana-1231	64	23	fewer	few	ADJ
cana-1231	64	24	labeled	label	VERB
cana-1231	64	25	data	datum	NOUN
cana-1231	64	26	effective	effective	ADJ
cana-1231	64	27	for	for	ADP
cana-1231	64	28	semisupervised	semisupervised	ADJ
cana-1231	64	29	learning	learn	VERB
cana-1231	64	30	computationally	computationally	ADV
cana-1231	64	31	intensive	intensive	ADJ
cana-1231	64	32	zhang	zhang	PROPN
cana-1231	64	33	et	et	PROPN
cana-1231	64	34	al	al	PROPN
cana-1231	64	35	.	.	PROPN
cana-1231	65	1	(	(	PUNCT
cana-1231	65	2	2019	2019	NUM
cana-1231	65	3	)	)	PUNCT
cana-1231	65	4	sentiment	sentiment	NOUN
cana-1231	65	5	analysis	analysis	NOUN
cana-1231	65	6	enhance	enhance	VERB
cana-1231	65	7	robustness	robustness	NOUN
cana-1231	65	8	of	of	ADP
cana-1231	65	9	sentiment	sentiment	NOUN
cana-1231	65	10	analysis	analysis	NOUN
cana-1231	65	11	models	model	NOUN
cana-1231	65	12	projected	project	VERB
cana-1231	65	13	gradient	gradient	ADJ
cana-1231	65	14	descent	descent	NOUN
cana-1231	65	15	(	(	PUNCT
cana-1231	65	16	pgd	pgd	PROPN
cana-1231	65	17	)	)	PUNCT
cana-1231	65	18	improved	improve	VERB
cana-1231	65	19	resistance	resistance	NOUN
cana-1231	65	20	to	to	ADP
cana-1231	65	21	input	input	NOUN
cana-1231	65	22	manipulations	manipulation	NOUN
cana-1231	65	23	and	and	CCONJ
cana-1231	65	24	paraphrasing	paraphrase	VERB
cana-1231	65	25	strong	strong	ADJ
cana-1231	65	26	defense	defense	NOUN
cana-1231	65	27	against	against	ADP
cana-1231	65	28	various	various	ADJ
cana-1231	65	29	adversarial	adversarial	ADJ
cana-1231	65	30	attacks	attack	NOUN
cana-1231	65	31	increased	increase	VERB
cana-1231	65	32	training	training	NOUN
cana-1231	65	33	complexity	complexity	NOUN
cana-1231	65	34	cheng	cheng	PROPN
cana-1231	65	35	et	et	PROPN
cana-1231	65	36	al	al	PROPN
cana-1231	65	37	.	.	PROPN
cana-1231	66	1	(	(	PUNCT
cana-1231	66	2	2020	2020	NUM
cana-1231	66	3	)	)	PUNCT
cana-1231	66	4	machine	machine	NOUN
cana-1231	66	5	translation	translation	NOUN
cana-1231	66	6	improve	improve	VERB
cana-1231	66	7	translation	translation	NOUN
cana-1231	66	8	accuracy	accuracy	NOUN
cana-1231	66	9	under	under	ADP
cana-1231	66	10	adversarial	adversarial	ADJ
cana-1231	66	11	attacks	attack	NOUN
cana-1231	66	12	gradientbased	gradientbase	VERB
cana-1231	66	13	adversarial	adversarial	ADJ
cana-1231	66	14	attacks	attack	NOUN
cana-1231	66	15	better	well	ADV
cana-1231	66	16	handling	handling	NOUN
cana-1231	66	17	of	of	ADP
cana-1231	66	18	idiomatic	idiomatic	ADJ
cana-1231	66	19	expressions	expression	NOUN
cana-1231	66	20	and	and	CCONJ
cana-1231	66	21	complex	complex	ADJ
cana-1231	66	22	structures	structure	NOUN
cana-1231	66	23	significant	significant	ADJ
cana-1231	66	24	improvement	improvement	NOUN
cana-1231	66	25	in	in	ADP
cana-1231	66	26	translation	translation	NOUN
cana-1231	66	27	quality	quality	NOUN
cana-1231	66	28	requires	require	VERB
cana-1231	66	29	extensive	extensive	ADJ
cana-1231	66	30	computational	computational	ADJ
cana-1231	66	31	resources	resource	NOUN
cana-1231	66	32	alzantot	alzantot	VERB
cana-1231	66	33	et	et	PROPN
cana-1231	66	34	al	al	PROPN
cana-1231	66	35	.	.	PROPN
cana-1231	67	1	(	(	PUNCT
cana-1231	67	2	2018	2018	NUM
cana-1231	67	3	)	)	PUNCT
cana-1231	67	4	text	text	NOUN
cana-1231	67	5	generation	generation	NOUN
cana-1231	67	6	generate	generate	VERB
cana-1231	67	7	adversarial	adversarial	ADJ
cana-1231	67	8	examples	example	NOUN
cana-1231	67	9	for	for	ADP
cana-1231	67	10	text	text	NOUN
cana-1231	67	11	classification	classification	NOUN
cana-1231	67	12	models	model	NOUN
cana-1231	67	13	genetic	genetic	ADJ
cana-1231	67	14	algorithms	algorithm	NOUN
cana-1231	67	15	for	for	ADP
cana-1231	67	16	adversarial	adversarial	ADJ
cana-1231	67	17	example	example	NOUN
cana-1231	67	18	generation	generation	NOUN
cana-1231	67	19	exposed	expose	VERB
cana-1231	67	20	vulnerabilities	vulnerability	NOUN
cana-1231	67	21	in	in	ADP
cana-1231	67	22	existing	exist	VERB
cana-1231	67	23	models	model	NOUN
cana-1231	67	24	innovative	innovative	ADJ
cana-1231	67	25	adversarial	adversarial	ADJ
cana-1231	67	26	example	example	NOUN
cana-1231	67	27	generation	generation	NOUN
cana-1231	67	28	technique	technique	NOUN
cana-1231	67	29	higher	high	ADJ
cana-1231	67	30	computational	computational	ADJ
cana-1231	67	31	cost	cost	NOUN
cana-1231	67	32	ebrahimi	ebrahimi	PROPN
cana-1231	67	33	et	et	PROPN
cana-1231	67	34	al	al	PROPN
cana-1231	67	35	.	.	PROPN
cana-1231	68	1	(	(	PUNCT
cana-1231	68	2	2018	2018	NUM
cana-1231	68	3	)	)	PUNCT
cana-1231	68	4	text	text	NOUN
cana-1231	68	5	classification	classification	NOUN
cana-1231	68	6	introduce	introduce	VERB
cana-1231	68	7	hotflip	hotflip	NOUN
cana-1231	68	8	method	method	NOUN
cana-1231	68	9	for	for	ADP
cana-1231	68	10	adversarial	adversarial	ADJ
cana-1231	68	11	text	text	NOUN
cana-1231	68	12	attacks	attack	NOUN
cana-1231	68	13	characterlevel	characterlevel	VERB
cana-1231	68	14	adversarial	adversarial	ADJ
cana-1231	68	15	attack	attack	NOUN
cana-1231	68	16	effective	effective	ADJ
cana-1231	68	17	in	in	ADP
cana-1231	68	18	finding	find	VERB
cana-1231	68	19	vulnerabilities	vulnerability	NOUN
cana-1231	68	20	in	in	ADP
cana-1231	68	21	nlp	nlp	NOUN
cana-1231	68	22	models	model	NOUN
cana-1231	68	23	simple	simple	ADJ
cana-1231	68	24	and	and	CCONJ
cana-1231	68	25	fast	fast	ADJ
cana-1231	68	26	attack	attack	NOUN
cana-1231	68	27	generation	generation	NOUN
cana-1231	68	28	focused	focus	VERB
cana-1231	68	29	on	on	ADP
cana-1231	68	30	character	character	NOUN
cana-1231	68	31	-	-	PUNCT
cana-1231	68	32	level	level	NOUN
cana-1231	68	33	perturbations	perturbation	NOUN
cana-1231	68	34	only	only	ADV
cana-1231	68	35	zhu	zhu	PROPN
cana-1231	68	36	et	et	PROPN
cana-1231	68	37	al	al	PROPN
cana-1231	68	38	.	.	PROPN
cana-1231	69	1	(	(	PUNCT
cana-1231	69	2	2019	2019	NUM
cana-1231	69	3	)	)	PUNCT
cana-1231	69	4	machine	machine	NOUN
cana-1231	69	5	translation	translation	NOUN
cana-1231	69	6	use	use	VERB
cana-1231	69	7	adversarial	adversarial	ADJ
cana-1231	69	8	training	training	NOUN
cana-1231	69	9	to	to	PART
cana-1231	69	10	enhance	enhance	VERB
cana-1231	69	11	nmt	nmt	NOUN
cana-1231	69	12	model	model	NOUN
cana-1231	69	13	robustness	robustness	NOUN
cana-1231	69	14	generative	generative	ADJ
cana-1231	69	15	adversarial	adversarial	ADJ
cana-1231	69	16	networks	network	NOUN
cana-1231	69	17	(	(	PUNCT
cana-1231	69	18	gans	gan	NOUN
cana-1231	69	19	)	)	PUNCT
cana-1231	69	20	significant	significant	ADJ
cana-1231	69	21	improvement	improvement	NOUN
cana-1231	69	22	in	in	ADP
cana-1231	69	23	handling	handle	VERB
cana-1231	69	24	noisy	noisy	ADJ
cana-1231	69	25	and	and	CCONJ
cana-1231	69	26	varied	varied	ADJ
cana-1231	69	27	inputs	input	NOUN
cana-1231	69	28	gans	gan	NOUN
cana-1231	69	29	provide	provide	VERB
cana-1231	69	30	strong	strong	ADJ
cana-1231	69	31	adversarial	adversarial	ADJ
cana-1231	69	32	examples	example	NOUN
cana-1231	69	33	training	training	NOUN
cana-1231	69	34	gans	gan	NOUN
cana-1231	69	35	can	can	AUX
cana-1231	69	36	be	be	AUX
cana-1231	69	37	unstable	unstable	ADJ
cana-1231	69	38	and	and	CCONJ
cana-1231	69	39	complex	complex	ADJ
cana-1231	69	40	li	li	PROPN
cana-1231	69	41	et	et	PROPN
cana-1231	69	42	al	al	PROPN
cana-1231	69	43	.	.	PROPN
cana-1231	70	1	(	(	PUNCT
cana-1231	70	2	2020	2020	NUM
cana-1231	70	3	)	)	PUNCT
cana-1231	70	4	sentiment	sentiment	NOUN
cana-1231	70	5	analysis	analysis	NOUN
cana-1231	70	6	develop	develop	VERB
cana-1231	70	7	adversarial	adversarial	ADJ
cana-1231	70	8	training	training	NOUN
cana-1231	70	9	framework	framework	NOUN
cana-1231	70	10	for	for	ADP
cana-1231	70	11	robust	robust	ADJ
cana-1231	70	12	sentiment	sentiment	NOUN
cana-1231	70	13	analysis	analysis	NOUN
cana-1231	70	14	word	word	NOUN
cana-1231	70	15	-	-	PUNCT
cana-1231	70	16	level	level	NOUN
cana-1231	70	17	adversarial	adversarial	ADJ
cana-1231	70	18	training	training	NOUN
cana-1231	70	19	improved	improve	VERB
cana-1231	70	20	robustness	robustness	NOUN
cana-1231	70	21	against	against	ADP
cana-1231	70	22	word	word	NOUN
cana-1231	70	23	substitutions	substitution	NOUN
cana-1231	70	24	and	and	CCONJ
cana-1231	70	25	paraphrases	paraphrase	VERB
cana-1231	70	26	addresses	address	VERB
cana-1231	70	27	word	word	NOUN
cana-1231	70	28	-	-	PUNCT
cana-1231	70	29	level	level	NOUN
cana-1231	70	30	perturbations	perturbation	NOUN
cana-1231	70	31	effectively	effectively	ADV
cana-1231	70	32	may	may	AUX
cana-1231	70	33	not	not	PART
cana-1231	70	34	cover	cover	VERB
cana-1231	70	35	more	more	ADV
cana-1231	70	36	complex	complex	ADJ
cana-1231	70	37	sentence	sentence	NOUN
cana-1231	70	38	-	-	PUNCT
cana-1231	70	39	level	level	NOUN
cana-1231	70	40	attacks	attack	NOUN
cana-1231	70	41	si	si	PROPN
cana-1231	70	42	et	et	PROPN
cana-1231	70	43	al	al	PROPN
cana-1231	70	44	.	.	PROPN
cana-1231	70	45	multilingual	multilingual	PROPN
cana-1231	70	46	enhance	enhance	VERB
cana-1231	70	47	multilingual	multilingual	ADV
cana-1231	70	48	better	well	ADV
cana-1231	70	49	crosseffective	crosseffective	ADJ
cana-1231	70	50	for	for	ADP
cana-1231	70	51	limited	limit	VERB
cana-1231	70	52	to	to	ADP
cana-1231	70	53	communications	communication	NOUN
cana-1231	70	54	on	on	ADP
cana-1231	70	55	applied	apply	VERB
cana-1231	70	56	nonlinear	nonlinear	ADJ
cana-1231	70	57	analysis	analysis	NOUN
cana-1231	70	58	issn	issn	NOUN
cana-1231	70	59	:	:	PUNCT
cana-1231	70	60	1074	1074	NUM
cana-1231	70	61	-	-	PUNCT
cana-1231	70	62	133x	133x	NUM
cana-1231	70	63	vol	vol	NOUN
cana-1231	70	64	31	31	NUM
cana-1231	70	65	no	no	NOUN
cana-1231	70	66	.	.	PUNCT
cana-1231	71	1	6s	6s	NUM
cana-1231	71	2	(	(	PUNCT
cana-1231	71	3	2024	2024	NUM
cana-1231	71	4	)	)	PUNCT
cana-1231	71	5	392	392	NUM
cana-1231	71	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1231	71	7	(	(	PUNCT
cana-1231	71	8	2021	2021	NUM
cana-1231	71	9	)	)	PUNCT
cana-1231	71	10	nlp	nlp	ADJ
cana-1231	71	11	multilingual	multilingual	ADJ
cana-1231	71	12	nlp	nlp	NOUN
cana-1231	71	13	models	model	NOUN
cana-1231	71	14	using	use	VERB
cana-1231	71	15	adversarial	adversarial	ADJ
cana-1231	71	16	training	training	NOUN
cana-1231	71	17	adversarial	adversarial	ADJ
cana-1231	71	18	examples	example	NOUN
cana-1231	71	19	lingual	lingual	NOUN
cana-1231	71	20	performance	performance	NOUN
cana-1231	71	21	and	and	CCONJ
cana-1231	71	22	robustness	robustness	NOUN
cana-1231	71	23	multilingual	multilingual	ADJ
cana-1231	71	24	settings	setting	NOUN
cana-1231	71	25	specific	specific	ADJ
cana-1231	71	26	multilingual	multilingual	ADJ
cana-1231	71	27	tasks	task	NOUN
cana-1231	71	28	wang	wang	PROPN
cana-1231	71	29	et	et	PROPN
cana-1231	71	30	al	al	PROPN
cana-1231	71	31	.	.	PROPN
cana-1231	72	1	(	(	PUNCT
cana-1231	72	2	2021	2021	NUM
cana-1231	72	3	)	)	PUNCT
cana-1231	72	4	text	text	NOUN
cana-1231	72	5	classification	classification	NOUN
cana-1231	72	6	robustness	robustness	NOUN
cana-1231	72	7	improvement	improvement	NOUN
cana-1231	72	8	via	via	ADP
cana-1231	72	9	adversarial	adversarial	ADJ
cana-1231	72	10	data	datum	NOUN
cana-1231	72	11	augmentation	augmentation	NOUN
cana-1231	72	12	data	datum	NOUN
cana-1231	72	13	augmentation	augmentation	NOUN
cana-1231	72	14	with	with	ADP
cana-1231	72	15	adversarial	adversarial	ADJ
cana-1231	72	16	examples	example	NOUN
cana-1231	72	17	significant	significant	ADJ
cana-1231	72	18	gains	gain	NOUN
cana-1231	72	19	in	in	ADP
cana-1231	72	20	model	model	NOUN
cana-1231	72	21	robustness	robustness	NOUN
cana-1231	72	22	enhances	enhance	VERB
cana-1231	72	23	generalization	generalization	NOUN
cana-1231	72	24	capabilities	capabilitie	VERB
cana-1231	72	25	potential	potential	ADJ
cana-1231	72	26	increase	increase	NOUN
cana-1231	72	27	in	in	ADP
cana-1231	72	28	training	training	NOUN
cana-1231	72	29	time	time	NOUN
cana-1231	72	30	table	table	NOUN
cana-1231	72	31	1	1	NUM
cana-1231	72	32	:	:	PUNCT
cana-1231	72	33	compariosn	compariosn	VERB
cana-1231	72	34	for	for	ADP
cana-1231	72	35	literature	literature	NOUN
cana-1231	72	36	survey	survey	NOUN
cana-1231	72	37	3	3	NUM
cana-1231	72	38	.	.	PUNCT
cana-1231	72	39	exisiting	exisite	VERB
cana-1231	72	40	system	system	NOUN
cana-1231	72	41	adversarial	adversarial	ADJ
cana-1231	72	42	training	training	NOUN
cana-1231	72	43	has	have	AUX
cana-1231	72	44	been	be	AUX
cana-1231	72	45	integrated	integrate	VERB
cana-1231	72	46	into	into	ADP
cana-1231	72	47	various	various	ADJ
cana-1231	72	48	natural	natural	ADJ
cana-1231	72	49	language	language	NOUN
cana-1231	72	50	processing	processing	NOUN
cana-1231	72	51	(	(	PUNCT
cana-1231	72	52	nlp	nlp	NOUN
cana-1231	72	53	)	)	PUNCT
cana-1231	72	54	systems	system	NOUN
cana-1231	72	55	to	to	PART
cana-1231	72	56	enhance	enhance	VERB
cana-1231	72	57	their	their	PRON
cana-1231	72	58	robustness	robustness	NOUN
cana-1231	72	59	against	against	ADP
cana-1231	72	60	adversarial	adversarial	ADJ
cana-1231	72	61	attacks	attack	NOUN
cana-1231	72	62	,	,	PUNCT
cana-1231	72	63	yet	yet	CCONJ
cana-1231	72	64	these	these	DET
cana-1231	72	65	systems	system	NOUN
cana-1231	72	66	often	often	ADV
cana-1231	72	67	come	come	VERB
cana-1231	72	68	with	with	ADP
cana-1231	72	69	notable	notable	ADJ
cana-1231	72	70	disadvantages	disadvantage	NOUN
cana-1231	72	71	.	.	PUNCT
cana-1231	73	1	for	for	ADP
cana-1231	73	2	instance	instance	NOUN
cana-1231	73	3	,	,	PUNCT
cana-1231	73	4	the	the	DET
cana-1231	73	5	goodfellow	goodfellow	PROPN
cana-1231	73	6	et	et	PROPN
cana-1231	73	7	al	al	PROPN
cana-1231	73	8	.	.	PROPN
cana-1231	74	1	(	(	PUNCT
cana-1231	74	2	2015	2015	NUM
cana-1231	74	3	)	)	PUNCT
cana-1231	74	4	introduced	introduce	VERB
cana-1231	74	5	the	the	DET
cana-1231	74	6	fast	fast	ADJ
cana-1231	74	7	gradient	gradient	NOUN
cana-1231	74	8	sign	sign	NOUN
cana-1231	74	9	method	method	NOUN
cana-1231	74	10	(	(	PUNCT
cana-1231	74	11	fgsm	fgsm	NOUN
cana-1231	74	12	)	)	PUNCT
cana-1231	74	13	is	be	AUX
cana-1231	74	14	a	a	DET
cana-1231	74	15	widely	widely	ADV
cana-1231	74	16	used	use	VERB
cana-1231	74	17	technique	technique	NOUN
cana-1231	74	18	due	due	ADP
cana-1231	74	19	to	to	ADP
cana-1231	74	20	its	its	PRON
cana-1231	74	21	simplicity	simplicity	NOUN
cana-1231	74	22	and	and	CCONJ
cana-1231	74	23	efficiency	efficiency	NOUN
cana-1231	74	24	in	in	ADP
cana-1231	74	25	generating	generate	VERB
cana-1231	74	26	adversarial	adversarial	ADJ
cana-1231	74	27	examples	example	NOUN
cana-1231	74	28	.	.	PUNCT
cana-1231	75	1	however	however	ADV
cana-1231	75	2	,	,	PUNCT
cana-1231	75	3	fgsm	fgsm	PROPN
cana-1231	75	4	is	be	AUX
cana-1231	75	5	limited	limit	VERB
cana-1231	75	6	to	to	ADP
cana-1231	75	7	small	small	ADJ
cana-1231	75	8	perturbations	perturbation	NOUN
cana-1231	75	9	and	and	CCONJ
cana-1231	75	10	is	be	AUX
cana-1231	75	11	not	not	PART
cana-1231	75	12	effective	effective	ADJ
cana-1231	75	13	against	against	ADP
cana-1231	75	14	stronger	strong	ADJ
cana-1231	75	15	adversarial	adversarial	ADJ
cana-1231	75	16	attacks	attack	NOUN
cana-1231	75	17	,	,	PUNCT
cana-1231	75	18	making	make	VERB
cana-1231	75	19	models	model	NOUN
cana-1231	75	20	trained	train	VERB
cana-1231	75	21	with	with	ADP
cana-1231	75	22	fgsm	fgsm	NOUN
cana-1231	75	23	vulnerable	vulnerable	ADJ
cana-1231	75	24	to	to	ADP
cana-1231	75	25	more	more	ADV
cana-1231	75	26	sophisticated	sophisticated	ADJ
cana-1231	75	27	manipulations	manipulation	NOUN
cana-1231	75	28	.	.	PUNCT
cana-1231	76	1	similarly	similarly	ADV
cana-1231	76	2	,	,	PUNCT
cana-1231	76	3	the	the	DET
cana-1231	76	4	miyato	miyato	NOUN
cana-1231	76	5	et	et	PROPN
cana-1231	76	6	al	al	PROPN
cana-1231	76	7	.	.	PROPN
cana-1231	77	1	(	(	PUNCT
cana-1231	77	2	2017	2017	NUM
cana-1231	77	3	)	)	PUNCT
cana-1231	77	4	proposed	propose	VERB
cana-1231	77	5	the	the	DET
cana-1231	77	6	virtual	virtual	ADJ
cana-1231	77	7	adversarial	adversarial	ADJ
cana-1231	77	8	training	training	NOUN
cana-1231	77	9	(	(	PUNCT
cana-1231	77	10	vat	vat	NOUN
cana-1231	77	11	)	)	PUNCT
cana-1231	77	12	approach	approach	NOUN
cana-1231	77	13	enhances	enhance	VERB
cana-1231	77	14	model	model	NOUN
cana-1231	77	15	performance	performance	NOUN
cana-1231	77	16	with	with	ADP
cana-1231	77	17	fewer	few	ADJ
cana-1231	77	18	labeled	label	VERB
cana-1231	77	19	data	datum	NOUN
cana-1231	77	20	in	in	ADP
cana-1231	77	21	semi	semi	ADJ
cana-1231	77	22	-	-	ADJ
cana-1231	77	23	supervised	supervised	ADJ
cana-1231	77	24	learning	learning	NOUN
cana-1231	77	25	scenarios	scenario	NOUN
cana-1231	77	26	,	,	PUNCT
cana-1231	77	27	but	but	CCONJ
cana-1231	77	28	it	it	PRON
cana-1231	77	29	is	be	AUX
cana-1231	77	30	computationally	computationally	ADV
cana-1231	77	31	intensive	intensive	ADJ
cana-1231	77	32	and	and	CCONJ
cana-1231	77	33	requires	require	VERB
cana-1231	77	34	careful	careful	ADJ
cana-1231	77	35	tuning	tuning	NOUN
cana-1231	77	36	of	of	ADP
cana-1231	77	37	hyperparameters	hyperparameter	NOUN
cana-1231	77	38	,	,	PUNCT
cana-1231	77	39	which	which	PRON
cana-1231	77	40	can	can	AUX
cana-1231	77	41	be	be	AUX
cana-1231	77	42	a	a	DET
cana-1231	77	43	significant	significant	ADJ
cana-1231	77	44	drawback	drawback	NOUN
cana-1231	77	45	in	in	ADP
cana-1231	77	46	practical	practical	ADJ
cana-1231	77	47	applications	application	NOUN
cana-1231	77	48	.	.	PUNCT
cana-1231	78	1	in	in	ADP
cana-1231	78	2	the	the	DET
cana-1231	78	3	realm	realm	NOUN
cana-1231	78	4	of	of	ADP
cana-1231	78	5	sentiment	sentiment	NOUN
cana-1231	78	6	analysis	analysis	NOUN
cana-1231	78	7	,	,	PUNCT
cana-1231	78	8	projected	project	VERB
cana-1231	78	9	gradient	gradient	ADJ
cana-1231	78	10	descent	descent	NOUN
cana-1231	78	11	(	(	PUNCT
cana-1231	78	12	pgd	pgd	PROPN
cana-1231	78	13	)	)	PUNCT
cana-1231	78	14	used	use	VERB
cana-1231	78	15	by	by	ADP
cana-1231	78	16	zhang	zhang	PROPN
cana-1231	78	17	et	et	PROPN
cana-1231	78	18	al	al	PROPN
cana-1231	78	19	.	.	PROPN
cana-1231	79	1	(	(	PUNCT
cana-1231	79	2	2019	2019	NUM
cana-1231	79	3	)	)	PUNCT
cana-1231	79	4	provides	provide	VERB
cana-1231	79	5	a	a	DET
cana-1231	79	6	more	more	ADV
cana-1231	79	7	robust	robust	ADJ
cana-1231	79	8	defense	defense	NOUN
cana-1231	79	9	against	against	ADP
cana-1231	79	10	various	various	ADJ
cana-1231	79	11	adversarial	adversarial	ADJ
cana-1231	79	12	attacks	attack	NOUN
cana-1231	79	13	,	,	PUNCT
cana-1231	79	14	but	but	CCONJ
cana-1231	79	15	it	it	PRON
cana-1231	79	16	introduces	introduce	VERB
cana-1231	79	17	increased	increase	VERB
cana-1231	79	18	training	training	NOUN
cana-1231	79	19	complexity	complexity	NOUN
cana-1231	79	20	and	and	CCONJ
cana-1231	79	21	demands	demand	VERB
cana-1231	79	22	substantial	substantial	ADJ
cana-1231	79	23	computational	computational	ADJ
cana-1231	79	24	resources	resource	NOUN
cana-1231	79	25	.	.	PUNCT
cana-1231	80	1	this	this	DET
cana-1231	80	2	complexity	complexity	NOUN
cana-1231	80	3	can	can	AUX
cana-1231	80	4	be	be	AUX
cana-1231	80	5	a	a	DET
cana-1231	80	6	significant	significant	ADJ
cana-1231	80	7	barrier	barrier	NOUN
cana-1231	80	8	for	for	ADP
cana-1231	80	9	practitioners	practitioner	NOUN
cana-1231	80	10	who	who	PRON
cana-1231	80	11	need	need	VERB
cana-1231	80	12	to	to	PART
cana-1231	80	13	balance	balance	VERB
cana-1231	80	14	robustness	robustness	NOUN
cana-1231	80	15	with	with	ADP
cana-1231	80	16	efficiency	efficiency	NOUN
cana-1231	80	17	.	.	PUNCT
cana-1231	81	1	additionally	additionally	ADV
cana-1231	81	2	,	,	PUNCT
cana-1231	81	3	the	the	DET
cana-1231	81	4	method	method	NOUN
cana-1231	81	5	requires	require	VERB
cana-1231	81	6	extensive	extensive	ADJ
cana-1231	81	7	computational	computational	ADJ
cana-1231	81	8	power	power	NOUN
cana-1231	81	9	,	,	PUNCT
cana-1231	81	10	which	which	PRON
cana-1231	81	11	can	can	AUX
cana-1231	81	12	be	be	AUX
cana-1231	81	13	prohibitive	prohibitive	ADJ
cana-1231	81	14	for	for	ADP
cana-1231	81	15	large	large	ADJ
cana-1231	81	16	-	-	PUNCT
cana-1231	81	17	scale	scale	NOUN
cana-1231	81	18	deployment	deployment	NOUN
cana-1231	81	19	or	or	CCONJ
cana-1231	81	20	for	for	ADP
cana-1231	81	21	organizations	organization	NOUN
cana-1231	81	22	with	with	ADP
cana-1231	81	23	limited	limited	ADJ
cana-1231	81	24	resources	resource	NOUN
cana-1231	81	25	.	.	PUNCT
cana-1231	82	1	alzantot	alzantot	PROPN
cana-1231	82	2	et	et	PROPN
cana-1231	82	3	al	al	PROPN
cana-1231	82	4	.	.	PROPN
cana-1231	83	1	(	(	PUNCT
cana-1231	83	2	2018	2018	NUM
cana-1231	83	3	)	)	PUNCT
cana-1231	83	4	used	use	VERB
cana-1231	83	5	genetic	genetic	ADJ
cana-1231	83	6	algorithms	algorithm	NOUN
cana-1231	83	7	to	to	PART
cana-1231	83	8	create	create	VERB
cana-1231	83	9	adversarial	adversarial	ADJ
cana-1231	83	10	cases	case	NOUN
cana-1231	83	11	for	for	ADP
cana-1231	83	12	text	text	NOUN
cana-1231	83	13	classification	classification	NOUN
cana-1231	83	14	models	model	NOUN
cana-1231	83	15	,	,	PUNCT
cana-1231	83	16	exposing	expose	VERB
cana-1231	83	17	vulnerabilities	vulnerability	NOUN
cana-1231	83	18	in	in	ADP
cana-1231	83	19	existing	exist	VERB
cana-1231	83	20	systems	system	NOUN
cana-1231	83	21	.	.	PUNCT
cana-1231	84	1	while	while	SCONJ
cana-1231	84	2	this	this	DET
cana-1231	84	3	method	method	NOUN
cana-1231	84	4	is	be	AUX
cana-1231	84	5	innovative	innovative	ADJ
cana-1231	84	6	,	,	PUNCT
cana-1231	84	7	it	it	PRON
cana-1231	84	8	comes	come	VERB
cana-1231	84	9	with	with	ADP
cana-1231	84	10	higher	high	ADJ
cana-1231	84	11	computational	computational	ADJ
cana-1231	84	12	costs	cost	NOUN
cana-1231	84	13	and	and	CCONJ
cana-1231	84	14	increased	increase	VERB
cana-1231	84	15	complexity	complexity	NOUN
cana-1231	84	16	in	in	ADP
cana-1231	84	17	generating	generate	VERB
cana-1231	84	18	effective	effective	ADJ
cana-1231	84	19	adversarial	adversarial	ADJ
cana-1231	84	20	examples	example	NOUN
cana-1231	84	21	.	.	PUNCT
cana-1231	85	1	in	in	ADP
cana-1231	85	2	terms	term	NOUN
cana-1231	85	3	of	of	ADP
cana-1231	85	4	machine	machine	NOUN
cana-1231	85	5	translation	translation	NOUN
cana-1231	85	6	,	,	PUNCT
cana-1231	85	7	cheng	cheng	PROPN
cana-1231	85	8	et	et	PROPN
cana-1231	85	9	al	al	PROPN
cana-1231	85	10	.	.	PROPN
cana-1231	86	1	(	(	PUNCT
cana-1231	86	2	2020	2020	NUM
cana-1231	86	3	)	)	PUNCT
cana-1231	86	4	applied	apply	VERB
cana-1231	86	5	gradient	gradient	NOUN
cana-1231	86	6	-	-	PUNCT
cana-1231	86	7	based	base	VERB
cana-1231	86	8	adversarial	adversarial	ADJ
cana-1231	86	9	attacks	attack	NOUN
cana-1231	86	10	to	to	PART
cana-1231	86	11	improve	improve	VERB
cana-1231	86	12	the	the	DET
cana-1231	86	13	handling	handling	NOUN
cana-1231	86	14	of	of	ADP
cana-1231	86	15	idiomatic	idiomatic	ADJ
cana-1231	86	16	expressions	expression	NOUN
cana-1231	86	17	and	and	CCONJ
cana-1231	86	18	complex	complex	ADJ
cana-1231	86	19	linguistic	linguistic	ADJ
cana-1231	86	20	structures	structure	NOUN
cana-1231	86	21	.	.	PUNCT
cana-1231	87	1	while	while	SCONJ
cana-1231	87	2	this	this	DET
cana-1231	87	3	approach	approach	NOUN
cana-1231	87	4	significantly	significantly	ADV
cana-1231	87	5	enhances	enhance	VERB
cana-1231	87	6	translation	translation	NOUN
cana-1231	87	7	quality	quality	NOUN
cana-1231	87	8	under	under	ADP
cana-1231	87	9	adversarial	adversarial	ADJ
cana-1231	87	10	conditions	condition	NOUN
cana-1231	87	11	,	,	PUNCT
cana-1231	87	12	it	it	PRON
cana-1231	87	13	requires	require	VERB
cana-1231	87	14	extensive	extensive	ADJ
cana-1231	87	15	computational	computational	ADJ
cana-1231	87	16	resources	resource	NOUN
cana-1231	87	17	,	,	PUNCT
cana-1231	87	18	making	make	VERB
cana-1231	87	19	it	it	PRON
cana-1231	87	20	less	less	ADV
cana-1231	87	21	feasible	feasible	ADJ
cana-1231	87	22	for	for	ADP
cana-1231	87	23	large	large	ADJ
cana-1231	87	24	-	-	PUNCT
cana-1231	87	25	scale	scale	NOUN
cana-1231	87	26	or	or	CCONJ
cana-1231	87	27	real	real	ADJ
cana-1231	87	28	-	-	PUNCT
cana-1231	87	29	time	time	NOUN
cana-1231	87	30	applications	application	NOUN
cana-1231	87	31	.	.	PUNCT
cana-1231	88	1	similarly	similarly	ADV
cana-1231	88	2	,	,	PUNCT
cana-1231	88	3	zhu	zhu	PROPN
cana-1231	88	4	et	et	PROPN
cana-1231	88	5	al	al	PROPN
cana-1231	88	6	.	.	PROPN
cana-1231	89	1	(	(	PUNCT
cana-1231	89	2	2019	2019	NUM
cana-1231	89	3	)	)	PUNCT
cana-1231	89	4	utilized	utilize	VERB
cana-1231	89	5	generative	generative	ADJ
cana-1231	89	6	adversarial	adversarial	ADJ
cana-1231	89	7	networks	network	NOUN
cana-1231	89	8	(	(	PUNCT
cana-1231	89	9	gans	gan	NOUN
cana-1231	89	10	)	)	PUNCT
cana-1231	89	11	to	to	PART
cana-1231	89	12	create	create	VERB
cana-1231	89	13	strong	strong	ADJ
cana-1231	89	14	adversarial	adversarial	ADJ
cana-1231	89	15	examples	example	NOUN
cana-1231	89	16	,	,	PUNCT
cana-1231	89	17	leading	lead	VERB
cana-1231	89	18	to	to	ADP
cana-1231	89	19	improved	improved	ADJ
cana-1231	89	20	robustness	robustness	NOUN
cana-1231	89	21	against	against	ADP
cana-1231	89	22	noisy	noisy	ADJ
cana-1231	89	23	and	and	CCONJ
cana-1231	89	24	varied	varied	ADJ
cana-1231	89	25	inputs	input	NOUN
cana-1231	89	26	.	.	PUNCT
cana-1231	90	1	however	however	ADV
cana-1231	90	2	,	,	PUNCT
cana-1231	90	3	training	training	NOUN
cana-1231	90	4	gans	gan	NOUN
cana-1231	90	5	can	can	AUX
cana-1231	90	6	be	be	AUX
cana-1231	90	7	unstable	unstable	ADJ
cana-1231	90	8	and	and	CCONJ
cana-1231	90	9	complex	complex	ADJ
cana-1231	90	10	,	,	PUNCT
cana-1231	90	11	further	far	ADV
cana-1231	90	12	increasing	increase	VERB
cana-1231	90	13	the	the	DET
cana-1231	90	14	computational	computational	ADJ
cana-1231	90	15	burden	burden	NOUN
cana-1231	90	16	.	.	PUNCT
cana-1231	91	1	these	these	DET
cana-1231	91	2	limitations	limitation	NOUN
cana-1231	91	3	highlight	highlight	VERB
cana-1231	91	4	the	the	DET
cana-1231	91	5	ongoing	ongoing	ADJ
cana-1231	91	6	challenges	challenge	NOUN
cana-1231	91	7	in	in	ADP
cana-1231	91	8	developing	develop	VERB
cana-1231	91	9	more	more	ADV
cana-1231	91	10	efficient	efficient	ADJ
cana-1231	91	11	and	and	CCONJ
cana-1231	91	12	scalable	scalable	ADJ
cana-1231	91	13	adversarial	adversarial	ADJ
cana-1231	91	14	training	training	NOUN
cana-1231	91	15	methods	method	NOUN
cana-1231	91	16	that	that	PRON
cana-1231	91	17	provide	provide	VERB
cana-1231	91	18	robust	robust	ADJ
cana-1231	91	19	protection	protection	NOUN
cana-1231	91	20	without	without	ADP
cana-1231	91	21	the	the	DET
cana-1231	91	22	associated	associated	ADJ
cana-1231	91	23	computational	computational	ADJ
cana-1231	91	24	overhead	overhead	NOUN
cana-1231	91	25	.	.	PUNCT
cana-1231	92	1	communications	communication	NOUN
cana-1231	92	2	on	on	ADP
cana-1231	92	3	applied	apply	VERB
cana-1231	92	4	nonlinear	nonlinear	ADJ
cana-1231	92	5	analysis	analysis	NOUN
cana-1231	92	6	issn	issn	NOUN
cana-1231	92	7	:	:	PUNCT
cana-1231	92	8	1074	1074	NUM
cana-1231	92	9	-	-	PUNCT
cana-1231	92	10	133x	133x	NUM
cana-1231	92	11	vol	vol	NOUN
cana-1231	92	12	31	31	NUM
cana-1231	92	13	no	no	NOUN
cana-1231	92	14	.	.	PUNCT
cana-1231	93	1	6s	6s	NUM
cana-1231	93	2	(	(	PUNCT
cana-1231	93	3	2024	2024	NUM
cana-1231	93	4	)	)	PUNCT
cana-1231	93	5	393	393	NUM
cana-1231	93	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1231	93	7	4	4	NUM
cana-1231	93	8	.	.	PUNCT
cana-1231	94	1	disadvantages	disadvantage	NOUN
cana-1231	94	2	of	of	ADP
cana-1231	94	3	existing	exist	VERB
cana-1231	94	4	system	system	NOUN
cana-1231	94	5	➢	➢	NOUN
cana-1231	94	6	limited	limit	VERB
cana-1231	94	7	to	to	ADP
cana-1231	94	8	small	small	ADJ
cana-1231	94	9	perturbations	perturbation	NOUN
cana-1231	94	10	(	(	PUNCT
cana-1231	94	11	fgsm	fgsm	NOUN
cana-1231	94	12	)	)	PUNCT
cana-1231	94	13	➢	➢	VERB
cana-1231	94	14	high	high	ADJ
cana-1231	94	15	computational	computational	ADJ
cana-1231	94	16	cost	cost	NOUN
cana-1231	94	17	(	(	PUNCT
cana-1231	94	18	vat	vat	NOUN
cana-1231	94	19	,	,	PUNCT
cana-1231	94	20	pgd	pgd	PROPN
cana-1231	94	21	,	,	PUNCT
cana-1231	94	22	gans	gan	NOUN
cana-1231	94	23	)	)	PUNCT
cana-1231	94	24	➢	➢	NOUN
cana-1231	94	25	complexity	complexity	NOUN
cana-1231	94	26	in	in	ADP
cana-1231	94	27	training	training	NOUN
cana-1231	94	28	(	(	PUNCT
cana-1231	94	29	pgd	pgd	PROPN
cana-1231	94	30	,	,	PUNCT
cana-1231	94	31	gans	gan	NOUN
cana-1231	94	32	)	)	PUNCT
cana-1231	95	1	➢	➢	VERB
cana-1231	95	2	hyper	hyper	ADJ
cana-1231	95	3	parameter	parameter	NOUN
cana-1231	95	4	sensitivity	sensitivity	NOUN
cana-1231	95	5	(	(	PUNCT
cana-1231	95	6	vat	vat	NOUN
cana-1231	95	7	)	)	PUNCT
cana-1231	95	8	➢	➢	NOUN
cana-1231	95	9	resource	resource	NOUN
cana-1231	95	10	intensive	intensive	ADJ
cana-1231	95	11	(	(	PUNCT
cana-1231	95	12	cheng	cheng	PROPN
cana-1231	95	13	et	et	PROPN
cana-1231	95	14	al	al	PROPN
cana-1231	95	15	.	.	PROPN
cana-1231	95	16	,	,	PUNCT
cana-1231	95	17	2020	2020	NUM
cana-1231	95	18	)	)	PUNCT
cana-1231	95	19	➢	➢	VERB
cana-1231	95	20	higher	high	ADJ
cana-1231	95	21	computational	computational	ADJ
cana-1231	95	22	costs	cost	NOUN
cana-1231	95	23	(	(	PUNCT
cana-1231	95	24	genetic	genetic	ADJ
cana-1231	95	25	algorithms	algorithm	NOUN
cana-1231	95	26	)	)	PUNCT
cana-1231	95	27	.	.	PUNCT
cana-1231	96	1	➢	➢	VERB
cana-1231	96	2	instability	instability	NOUN
cana-1231	96	3	in	in	ADP
cana-1231	96	4	training	training	NOUN
cana-1231	96	5	(	(	PUNCT
cana-1231	96	6	gans	gan	NOUN
cana-1231	96	7	)	)	PUNCT
cana-1231	96	8	➢	➢	NOUN
cana-1231	96	9	increased	increase	VERB
cana-1231	96	10	training	training	NOUN
cana-1231	96	11	time	time	NOUN
cana-1231	96	12	(	(	PUNCT
cana-1231	96	13	pgd	pgd	NOUN
cana-1231	96	14	,	,	PUNCT
cana-1231	96	15	gans	gan	NOUN
cana-1231	96	16	)	)	PUNCT
cana-1231	96	17	➢	➢	NOUN
cana-1231	96	18	limited	limit	VERB
cana-1231	96	19	applicability	applicability	NOUN
cana-1231	96	20	(	(	PUNCT
cana-1231	96	21	character	character	NOUN
cana-1231	96	22	-	-	PUNCT
cana-1231	96	23	level	level	NOUN
cana-1231	96	24	attacks	attack	NOUN
cana-1231	96	25	)	)	PUNCT
cana-1231	96	26	➢	➢	NOUN
cana-1231	96	27	scalability	scalability	NOUN
cana-1231	96	28	issues	issue	NOUN
cana-1231	96	29	(	(	PUNCT
cana-1231	96	30	multiple	multiple	ADJ
cana-1231	96	31	methods	method	NOUN
cana-1231	96	32	)	)	PUNCT
cana-1231	96	33	.	.	PUNCT
cana-1231	97	1	5	5	X
cana-1231	97	2	.	.	NUM
cana-1231	97	3	proposed	propose	VERB
cana-1231	97	4	system	system	NOUN
cana-1231	97	5	the	the	DET
cana-1231	97	6	proposed	propose	VERB
cana-1231	97	7	system	system	NOUN
cana-1231	97	8	aims	aim	VERB
cana-1231	97	9	to	to	PART
cana-1231	97	10	enhance	enhance	VERB
cana-1231	97	11	the	the	DET
cana-1231	97	12	robustness	robustness	NOUN
cana-1231	97	13	and	and	CCONJ
cana-1231	97	14	effectiveness	effectiveness	NOUN
cana-1231	97	15	of	of	ADP
cana-1231	97	16	nlp	nlp	NOUN
cana-1231	97	17	models	model	NOUN
cana-1231	97	18	,	,	PUNCT
cana-1231	97	19	particularly	particularly	ADV
cana-1231	97	20	for	for	ADP
cana-1231	97	21	sentiment	sentiment	NOUN
cana-1231	97	22	analysis	analysis	NOUN
cana-1231	97	23	and	and	CCONJ
cana-1231	97	24	machine	machine	NOUN
cana-1231	97	25	translation	translation	NOUN
cana-1231	97	26	,	,	PUNCT
cana-1231	97	27	through	through	ADP
cana-1231	97	28	the	the	DET
cana-1231	97	29	use	use	NOUN
cana-1231	97	30	of	of	ADP
cana-1231	97	31	adversarial	adversarial	ADJ
cana-1231	97	32	training	training	NOUN
cana-1231	97	33	.	.	PUNCT
cana-1231	98	1	this	this	PRON
cana-1231	98	2	involves	involve	VERB
cana-1231	98	3	generating	generate	VERB
cana-1231	98	4	adversarial	adversarial	ADJ
cana-1231	98	5	examples	example	NOUN
cana-1231	98	6	to	to	PART
cana-1231	98	7	expose	expose	VERB
cana-1231	98	8	models	model	NOUN
cana-1231	98	9	to	to	ADP
cana-1231	98	10	challenging	challenge	VERB
cana-1231	98	11	perturbations	perturbation	NOUN
cana-1231	98	12	,	,	PUNCT
cana-1231	98	13	thereby	thereby	ADV
cana-1231	98	14	improving	improve	VERB
cana-1231	98	15	their	their	PRON
cana-1231	98	16	resilience	resilience	NOUN
cana-1231	98	17	to	to	ADP
cana-1231	98	18	manipulations	manipulation	NOUN
cana-1231	98	19	and	and	CCONJ
cana-1231	98	20	noise	noise	NOUN
cana-1231	98	21	in	in	ADP
cana-1231	98	22	real	real	ADJ
cana-1231	98	23	-	-	PUNCT
cana-1231	98	24	world	world	NOUN
cana-1231	98	25	scenarios	scenario	NOUN
cana-1231	98	26	.	.	PUNCT
cana-1231	99	1	components	component	NOUN
cana-1231	99	2	➢	➢	VERB
cana-1231	99	3	data	datum	NOUN
cana-1231	99	4	collection	collection	NOUN
cana-1231	99	5	and	and	CCONJ
cana-1231	99	6	preprocessing	preprocessing	NOUN
cana-1231	99	7	module	module	NOUN
cana-1231	99	8	➢	➢	NOUN
cana-1231	99	9	adversarial	adversarial	ADJ
cana-1231	99	10	example	example	NOUN
cana-1231	99	11	generation	generation	NOUN
cana-1231	99	12	module	module	NOUN
cana-1231	99	13	➢	➢	NOUN
cana-1231	99	14	adversarial	adversarial	ADJ
cana-1231	99	15	training	training	NOUN
cana-1231	99	16	module	module	NOUN
cana-1231	99	17	➢	➢	NOUN
cana-1231	99	18	sentiment	sentiment	NOUN
cana-1231	99	19	analysis	analysis	NOUN
cana-1231	99	20	model	model	NOUN
cana-1231	99	21	➢	➢	NOUN
cana-1231	99	22	machine	machine	NOUN
cana-1231	99	23	translation	translation	NOUN
cana-1231	99	24	model	model	NOUN
cana-1231	99	25	➢	➢	NOUN
cana-1231	99	26	evaluation	evaluation	NOUN
cana-1231	99	27	and	and	CCONJ
cana-1231	99	28	testing	testing	NOUN
cana-1231	99	29	module	module	NOUN
cana-1231	99	30	➢	➢	NOUN
cana-1231	99	31	user	user	NOUN
cana-1231	99	32	interface	interface	NOUN
cana-1231	99	33	(	(	PUNCT
cana-1231	99	34	ui	ui	NOUN
cana-1231	99	35	)	)	PUNCT
cana-1231	99	36	➢	➢	NOUN
cana-1231	99	37	benefits	benefit	NOUN
cana-1231	99	38	and	and	CCONJ
cana-1231	99	39	applications	application	NOUN
cana-1231	99	40	➢	➢	NOUN
cana-1231	99	41	sentiment	sentiment	NOUN
cana-1231	99	42	analysis	analysis	NOUN
cana-1231	99	43	improved	improve	VERB
cana-1231	99	44	robustness	robustness	NOUN
cana-1231	99	45	to	to	ADP
cana-1231	99	46	variations	variation	NOUN
cana-1231	99	47	in	in	ADP
cana-1231	99	48	input	input	NOUN
cana-1231	99	49	text	text	NOUN
cana-1231	99	50	,	,	PUNCT
cana-1231	99	51	including	include	VERB
cana-1231	99	52	paraphrasing	paraphrasing	NOUN
cana-1231	99	53	and	and	CCONJ
cana-1231	99	54	misleading	misleading	ADJ
cana-1231	99	55	sentiment	sentiment	NOUN
cana-1231	99	56	indicators	indicator	NOUN
cana-1231	99	57	.	.	PUNCT
cana-1231	100	1	enhanced	enhance	VERB
cana-1231	100	2	performance	performance	NOUN
cana-1231	100	3	on	on	ADP
cana-1231	100	4	user	user	NOUN
cana-1231	100	5	-	-	PUNCT
cana-1231	100	6	generated	generate	VERB
cana-1231	100	7	content	content	NOUN
cana-1231	100	8	with	with	ADP
cana-1231	100	9	linguistic	linguistic	ADJ
cana-1231	100	10	diversity	diversity	NOUN
cana-1231	100	11	and	and	CCONJ
cana-1231	100	12	intentional	intentional	ADJ
cana-1231	100	13	manipulations	manipulation	NOUN
cana-1231	100	14	.	.	PUNCT
cana-1231	101	1	better	well	ADJ
cana-1231	101	2	handling	handling	NOUN
cana-1231	101	3	of	of	ADP
cana-1231	101	4	diverse	diverse	ADJ
cana-1231	101	5	linguistic	linguistic	ADJ
cana-1231	101	6	structures	structure	NOUN
cana-1231	101	7	and	and	CCONJ
cana-1231	101	8	idiomatic	idiomatic	ADJ
cana-1231	101	9	expressions	expression	NOUN
cana-1231	101	10	.	.	PUNCT
cana-1231	102	1	higher	high	ADJ
cana-1231	102	2	translation	translation	NOUN
cana-1231	102	3	accuracy	accuracy	NOUN
cana-1231	102	4	and	and	CCONJ
cana-1231	102	5	reliability	reliability	NOUN
cana-1231	102	6	for	for	ADP
cana-1231	102	7	applications	application	NOUN
cana-1231	102	8	like	like	ADP
cana-1231	102	9	international	international	ADJ
cana-1231	102	10	communication	communication	NOUN
cana-1231	102	11	,	,	PUNCT
cana-1231	102	12	content	content	NOUN
cana-1231	102	13	localization	localization	NOUN
cana-1231	102	14	,	,	PUNCT
cana-1231	102	15	and	and	CCONJ
cana-1231	102	16	multilingual	multilingual	ADJ
cana-1231	102	17	information	information	NOUN
cana-1231	102	18	retrieval	retrieval	NOUN
cana-1231	102	19	.	.	PUNCT
cana-1231	103	1	communications	communication	NOUN
cana-1231	103	2	on	on	ADP
cana-1231	103	3	applied	apply	VERB
cana-1231	103	4	nonlinear	nonlinear	ADJ
cana-1231	103	5	analysis	analysis	NOUN
cana-1231	103	6	issn	issn	NOUN
cana-1231	103	7	:	:	PUNCT
cana-1231	103	8	1074	1074	NUM
cana-1231	103	9	-	-	PUNCT
cana-1231	103	10	133x	133x	NUM
cana-1231	103	11	vol	vol	NOUN
cana-1231	103	12	31	31	NUM
cana-1231	103	13	no	no	NOUN
cana-1231	103	14	.	.	PUNCT
cana-1231	104	1	6s	6s	NUM
cana-1231	104	2	(	(	PUNCT
cana-1231	104	3	2024	2024	NUM
cana-1231	104	4	)	)	PUNCT
cana-1231	104	5	394	394	NUM
cana-1231	104	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1231	104	7	figure	figure	NOUN
cana-1231	104	8	2	2	NUM
cana-1231	104	9	:	:	PUNCT
cana-1231	104	10	architecture	architecture	NOUN
cana-1231	104	11	of	of	ADP
cana-1231	104	12	proposed	propose	VERB
cana-1231	104	13	system	system	NOUN
cana-1231	104	14	the	the	DET
cana-1231	104	15	proposed	propose	VERB
cana-1231	104	16	architecture	architecture	NOUN
cana-1231	104	17	block	block	NOUN
cana-1231	104	18	diagram	diagram	NOUN
cana-1231	104	19	,	,	PUNCT
cana-1231	104	20	showcases	showcase	VERB
cana-1231	104	21	the	the	DET
cana-1231	104	22	workflow	workflow	NOUN
cana-1231	104	23	for	for	ADP
cana-1231	104	24	applying	apply	VERB
cana-1231	104	25	adversarial	adversarial	ADJ
cana-1231	104	26	training	training	NOUN
cana-1231	104	27	to	to	ADP
cana-1231	104	28	nlp	nlp	NOUN
cana-1231	104	29	tasks	task	NOUN
cana-1231	104	30	,	,	PUNCT
cana-1231	104	31	specifically	specifically	ADV
cana-1231	104	32	sentiment	sentiment	VERB
cana-1231	104	33	analysis	analysis	NOUN
cana-1231	104	34	and	and	CCONJ
cana-1231	104	35	machine	machine	NOUN
cana-1231	104	36	translation	translation	NOUN
cana-1231	104	37	.	.	PUNCT
cana-1231	105	1	➢	➢	VERB
cana-1231	105	2	input	input	NOUN
cana-1231	105	3	text	text	NOUN
cana-1231	105	4	(	(	PUNCT
cana-1231	105	5	a1	a1	NOUN
cana-1231	105	6	):	):	PUNCT
cana-1231	105	7	the	the	DET
cana-1231	105	8	process	process	NOUN
cana-1231	105	9	begins	begin	VERB
cana-1231	105	10	with	with	ADP
cana-1231	105	11	input	input	NOUN
cana-1231	105	12	text	text	NOUN
cana-1231	105	13	,	,	PUNCT
cana-1231	105	14	which	which	PRON
cana-1231	105	15	serves	serve	VERB
cana-1231	105	16	as	as	ADP
cana-1231	105	17	the	the	DET
cana-1231	105	18	initial	initial	ADJ
cana-1231	105	19	data	datum	NOUN
cana-1231	105	20	for	for	ADP
cana-1231	105	21	further	further	ADJ
cana-1231	105	22	processing	processing	NOUN
cana-1231	105	23	.	.	PUNCT
cana-1231	106	1	➢	➢	PROPN
cana-1231	106	2	generate	generate	VERB
cana-1231	106	3	adversarial	adversarial	ADJ
cana-1231	106	4	examples	example	NOUN
cana-1231	106	5	(	(	PUNCT
cana-1231	106	6	b1	b1	NOUN
cana-1231	106	7	):	):	PUNCT
cana-1231	106	8	this	this	DET
cana-1231	106	9	step	step	NOUN
cana-1231	106	10	involves	involve	VERB
cana-1231	106	11	creating	create	VERB
cana-1231	106	12	adversarial	adversarial	ADJ
cana-1231	106	13	examples	example	NOUN
cana-1231	106	14	from	from	ADP
cana-1231	106	15	the	the	DET
cana-1231	106	16	input	input	NOUN
cana-1231	106	17	text	text	NOUN
cana-1231	106	18	.	.	PUNCT
cana-1231	107	1	these	these	PRON
cana-1231	107	2	are	be	AUX
cana-1231	107	3	modified	modify	VERB
cana-1231	107	4	versions	version	NOUN
cana-1231	107	5	of	of	ADP
cana-1231	107	6	the	the	DET
cana-1231	107	7	original	original	ADJ
cana-1231	107	8	text	text	NOUN
cana-1231	107	9	designed	design	VERB
cana-1231	107	10	to	to	PART
cana-1231	107	11	test	test	VERB
cana-1231	107	12	and	and	CCONJ
cana-1231	107	13	enhance	enhance	VERB
cana-1231	107	14	the	the	DET
cana-1231	107	15	model	model	NOUN
cana-1231	107	16	's	's	PART
cana-1231	107	17	robustness	robustness	NOUN
cana-1231	107	18	.	.	PUNCT
cana-1231	108	1	➢	➢	NOUN
cana-1231	108	2	sentiment	sentiment	NOUN
cana-1231	108	3	analysis	analysis	NOUN
cana-1231	108	4	model	model	NOUN
cana-1231	108	5	(	(	PUNCT
cana-1231	108	6	c1	c1	NOUN
cana-1231	108	7	):	):	PUNCT
cana-1231	108	8	the	the	DET
cana-1231	108	9	adversarial	adversarial	ADJ
cana-1231	108	10	examples	example	NOUN
cana-1231	108	11	are	be	AUX
cana-1231	108	12	used	use	VERB
cana-1231	108	13	to	to	PART
cana-1231	108	14	train	train	VERB
cana-1231	108	15	the	the	DET
cana-1231	108	16	sentiment	sentiment	NOUN
cana-1231	108	17	analysis	analysis	NOUN
cana-1231	108	18	model	model	NOUN
cana-1231	108	19	,	,	PUNCT
cana-1231	108	20	helping	help	VERB
cana-1231	108	21	it	it	PRON
cana-1231	108	22	learn	learn	VERB
cana-1231	108	23	to	to	PART
cana-1231	108	24	handle	handle	VERB
cana-1231	108	25	various	various	ADJ
cana-1231	108	26	perturbations	perturbation	NOUN
cana-1231	108	27	.	.	PUNCT
cana-1231	109	1	➢	➢	AUX
cana-1231	109	2	the	the	DET
cana-1231	109	3	loss	loss	NOUN
cana-1231	109	4	function	function	NOUN
cana-1231	109	5	(	(	PUNCT
cana-1231	109	6	c2	c2	PROPN
cana-1231	109	7	)	)	PUNCT
cana-1231	109	8	calculates	calculate	VERB
cana-1231	109	9	the	the	DET
cana-1231	109	10	difference	difference	NOUN
cana-1231	109	11	between	between	ADP
cana-1231	109	12	the	the	DET
cana-1231	109	13	model	model	NOUN
cana-1231	109	14	's	's	PART
cana-1231	109	15	anticipated	anticipate	VERB
cana-1231	109	16	and	and	CCONJ
cana-1231	109	17	real	real	ADJ
cana-1231	109	18	emotion	emotion	NOUN
cana-1231	109	19	..	..	PUNCT
cana-1231	110	1	the	the	DET
cana-1231	110	2	loss	loss	NOUN
cana-1231	110	3	is	be	AUX
cana-1231	110	4	then	then	ADV
cana-1231	110	5	used	use	VERB
cana-1231	110	6	to	to	PART
cana-1231	110	7	adjust	adjust	VERB
cana-1231	110	8	the	the	DET
cana-1231	110	9	model	model	NOUN
cana-1231	110	10	’s	’s	PART
cana-1231	110	11	parameters	parameter	NOUN
cana-1231	110	12	,	,	PUNCT
cana-1231	110	13	improving	improve	VERB
cana-1231	110	14	its	its	PRON
cana-1231	110	15	accuracy	accuracy	NOUN
cana-1231	110	16	and	and	CCONJ
cana-1231	110	17	robustness	robustness	NOUN
cana-1231	110	18	.	.	PUNCT
cana-1231	111	1	➢	➢	VERB
cana-1231	111	2	feedback	feedback	NOUN
cana-1231	111	3	loop	loop	NOUN
cana-1231	111	4	(	(	PUNCT
cana-1231	111	5	c2	c2	PROPN
cana-1231	111	6	--	--	PUNCT
cana-1231	111	7	>	>	X
cana-1231	111	8	c1	c1	PROPN
cana-1231	111	9	):	):	PUNCT
cana-1231	111	10	the	the	DET
cana-1231	111	11	loss	loss	NOUN
cana-1231	111	12	information	information	NOUN
cana-1231	111	13	is	be	AUX
cana-1231	111	14	fed	feed	VERB
cana-1231	111	15	back	back	ADV
cana-1231	111	16	into	into	ADP
cana-1231	111	17	the	the	DET
cana-1231	111	18	model	model	NOUN
cana-1231	111	19	,	,	PUNCT
cana-1231	111	20	allowing	allow	VERB
cana-1231	111	21	for	for	ADP
cana-1231	111	22	iterative	iterative	ADJ
cana-1231	111	23	improvements	improvement	NOUN
cana-1231	111	24	during	during	ADP
cana-1231	111	25	training	training	NOUN
cana-1231	111	26	.	.	PUNCT
cana-1231	112	1	➢	➢	NOUN
cana-1231	112	2	machine	machine	NOUN
cana-1231	112	3	translation	translation	NOUN
cana-1231	112	4	model	model	NOUN
cana-1231	112	5	(	(	PUNCT
cana-1231	112	6	d1	d1	NOUN
cana-1231	112	7	):	):	PUNCT
cana-1231	112	8	adversarial	adversarial	ADJ
cana-1231	112	9	examples	example	NOUN
cana-1231	112	10	are	be	AUX
cana-1231	112	11	also	also	ADV
cana-1231	112	12	used	use	VERB
cana-1231	112	13	to	to	PART
cana-1231	112	14	train	train	VERB
cana-1231	112	15	the	the	DET
cana-1231	112	16	machine	machine	NOUN
cana-1231	112	17	translation	translation	NOUN
cana-1231	112	18	model	model	NOUN
cana-1231	112	19	,	,	PUNCT
cana-1231	112	20	exposing	expose	VERB
cana-1231	112	21	it	it	PRON
cana-1231	112	22	to	to	ADP
cana-1231	112	23	different	different	ADJ
cana-1231	112	24	linguistic	linguistic	ADJ
cana-1231	112	25	structures	structure	NOUN
cana-1231	112	26	and	and	CCONJ
cana-1231	112	27	idiomatic	idiomatic	ADJ
cana-1231	112	28	expressions	expression	NOUN
cana-1231	112	29	.	.	PUNCT
cana-1231	113	1	➢	➢	VERB
cana-1231	113	2	the	the	DET
cana-1231	113	3	loss	loss	NOUN
cana-1231	113	4	function	function	NOUN
cana-1231	113	5	(	(	PUNCT
cana-1231	113	6	d2	d2	PROPN
cana-1231	113	7	)	)	PUNCT
cana-1231	113	8	,	,	PUNCT
cana-1231	113	9	similar	similar	ADJ
cana-1231	113	10	to	to	ADP
cana-1231	113	11	sentiment	sentiment	NOUN
cana-1231	113	12	analysis	analysis	NOUN
cana-1231	113	13	,	,	PUNCT
cana-1231	113	14	compares	compare	VERB
cana-1231	113	15	the	the	DET
cana-1231	113	16	translated	translate	VERB
cana-1231	113	17	text	text	NOUN
cana-1231	113	18	against	against	ADP
cana-1231	113	19	the	the	DET
cana-1231	113	20	original	original	ADJ
cana-1231	113	21	text	text	NOUN
cana-1231	113	22	correct	correct	ADJ
cana-1231	113	23	translation	translation	NOUN
cana-1231	113	24	,	,	PUNCT
cana-1231	113	25	guiding	guide	VERB
cana-1231	113	26	the	the	DET
cana-1231	113	27	model	model	NOUN
cana-1231	113	28	’s	’s	PART
cana-1231	113	29	adjustments	adjustment	NOUN
cana-1231	113	30	.	.	PUNCT
cana-1231	114	1	➢	➢	VERB
cana-1231	114	2	feedback	feedback	PROPN
cana-1231	114	3	loop	loop	NOUN
cana-1231	114	4	(	(	PUNCT
cana-1231	114	5	d2	d2	PROPN
cana-1231	114	6	--	--	PUNCT
cana-1231	114	7	>	>	X
cana-1231	114	8	d1	d1	PROPN
cana-1231	114	9	):	):	PUNCT
cana-1231	114	10	the	the	DET
cana-1231	114	11	loss	loss	NOUN
cana-1231	114	12	data	datum	NOUN
cana-1231	114	13	is	be	AUX
cana-1231	114	14	utilized	utilize	VERB
cana-1231	114	15	to	to	PART
cana-1231	114	16	refine	refine	VERB
cana-1231	114	17	the	the	DET
cana-1231	114	18	model	model	NOUN
cana-1231	114	19	continuously	continuously	ADV
cana-1231	114	20	,	,	PUNCT
cana-1231	114	21	enhancing	enhance	VERB
cana-1231	114	22	its	its	PRON
cana-1231	114	23	translation	translation	NOUN
cana-1231	114	24	accuracy	accuracy	NOUN
cana-1231	114	25	and	and	CCONJ
cana-1231	114	26	resilience	resilience	NOUN
cana-1231	114	27	.	.	PUNCT
cana-1231	115	1	➢	➢	VERB
cana-1231	115	2	trained	train	VERB
cana-1231	115	3	sentiment	sentiment	NOUN
cana-1231	115	4	analysis	analysis	NOUN
cana-1231	115	5	model	model	NOUN
cana-1231	115	6	(	(	PUNCT
cana-1231	115	7	e1	e1	PROPN
cana-1231	115	8	):	):	PUNCT
cana-1231	115	9	the	the	DET
cana-1231	115	10	output	output	NOUN
cana-1231	115	11	is	be	AUX
cana-1231	115	12	a	a	DET
cana-1231	115	13	sentiment	sentiment	NOUN
cana-1231	115	14	analysis	analysis	NOUN
cana-1231	115	15	model	model	NOUN
cana-1231	115	16	that	that	PRON
cana-1231	115	17	has	have	AUX
cana-1231	115	18	been	be	AUX
cana-1231	115	19	trained	train	VERB
cana-1231	115	20	with	with	ADP
cana-1231	115	21	adversarial	adversarial	ADJ
cana-1231	115	22	examples	example	NOUN
cana-1231	115	23	,	,	PUNCT
cana-1231	115	24	making	make	VERB
cana-1231	115	25	it	it	PRON
cana-1231	115	26	robust	robust	ADJ
cana-1231	115	27	against	against	ADP
cana-1231	115	28	variations	variation	NOUN
cana-1231	115	29	and	and	CCONJ
cana-1231	115	30	manipulations	manipulation	NOUN
cana-1231	115	31	in	in	ADP
cana-1231	115	32	input	input	NOUN
cana-1231	115	33	text	text	NOUN
cana-1231	115	34	.	.	PUNCT
cana-1231	116	1	➢	➢	VERB
cana-1231	116	2	trained	train	VERB
cana-1231	116	3	machine	machine	NOUN
cana-1231	116	4	translation	translation	NOUN
cana-1231	116	5	model	model	NOUN
cana-1231	116	6	(	(	PUNCT
cana-1231	116	7	e2	e2	PROPN
cana-1231	116	8	):	):	PUNCT
cana-1231	116	9	similarly	similarly	ADV
cana-1231	116	10	,	,	PUNCT
cana-1231	116	11	this	this	PRON
cana-1231	116	12	is	be	AUX
cana-1231	116	13	the	the	DET
cana-1231	116	14	machine	machine	NOUN
cana-1231	116	15	translation	translation	NOUN
cana-1231	116	16	model	model	NOUN
cana-1231	116	17	that	that	PRON
cana-1231	116	18	has	have	AUX
cana-1231	116	19	undergone	undergo	VERB
cana-1231	116	20	adversarial	adversarial	ADJ
cana-1231	116	21	training	training	NOUN
cana-1231	116	22	,	,	PUNCT
cana-1231	116	23	resulting	result	VERB
cana-1231	116	24	in	in	ADP
cana-1231	116	25	improved	improved	ADJ
cana-1231	116	26	handling	handling	NOUN
cana-1231	116	27	of	of	ADP
cana-1231	116	28	diverse	diverse	ADJ
cana-1231	116	29	and	and	CCONJ
cana-1231	116	30	complex	complex	ADJ
cana-1231	116	31	linguistic	linguistic	ADJ
cana-1231	116	32	features	feature	NOUN
cana-1231	116	33	.	.	PUNCT
cana-1231	117	1	communications	communication	NOUN
cana-1231	117	2	on	on	ADP
cana-1231	117	3	applied	apply	VERB
cana-1231	117	4	nonlinear	nonlinear	ADJ
cana-1231	117	5	analysis	analysis	NOUN
cana-1231	117	6	issn	issn	NOUN
cana-1231	117	7	:	:	PUNCT
cana-1231	117	8	1074	1074	NUM
cana-1231	117	9	-	-	PUNCT
cana-1231	117	10	133x	133x	NUM
cana-1231	117	11	vol	vol	NOUN
cana-1231	117	12	31	31	NUM
cana-1231	117	13	no	no	NOUN
cana-1231	117	14	.	.	PUNCT
cana-1231	118	1	6s	6s	NUM
cana-1231	118	2	(	(	PUNCT
cana-1231	118	3	2024	2024	NUM
cana-1231	118	4	)	)	PUNCT
cana-1231	118	5	395	395	NUM
cana-1231	118	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1231	118	7	6	6	NUM
cana-1231	118	8	.	.	PUNCT
cana-1231	119	1	benefits	benefit	NOUN
cana-1231	119	2	➢	➢	NOUN
cana-1231	119	3	strengthened	strengthen	VERB
cana-1231	119	4	robustness	robustness	NOUN
cana-1231	119	5	:	:	PUNCT
cana-1231	119	6	➢	➢	X
cana-1231	119	7	enhanced	enhance	VERB
cana-1231	119	8	adaptability	adaptability	NOUN
cana-1231	119	9	➢	➢	NOUN
cana-1231	119	10	augmented	augment	VERB
cana-1231	119	11	resilience	resilience	NOUN
cana-1231	119	12	to	to	ADP
cana-1231	119	13	attacks	attack	NOUN
cana-1231	119	14	➢	➢	VERB
cana-1231	119	15	improved	improve	VERB
cana-1231	119	16	linguistic	linguistic	ADJ
cana-1231	119	17	competence	competence	NOUN
cana-1231	119	18	7	7	NUM
cana-1231	119	19	.	.	PUNCT
cana-1231	119	20	dataset	dataset	VERB
cana-1231	119	21	adversarial	adversarial	ADJ
cana-1231	119	22	sentiment	sentiment	NOUN
cana-1231	119	23	dataset	dataset	VERB
cana-1231	119	24	(	(	PUNCT
cana-1231	119	25	asd	asd	NOUN
cana-1231	119	26	)	)	PUNCT
cana-1231	119	27	this	this	DET
cana-1231	119	28	dataset	dataset	NOUN
cana-1231	119	29	consists	consist	NOUN
cana-1231	119	30	of	of	ADP
cana-1231	119	31	textual	textual	ADJ
cana-1231	119	32	data	datum	NOUN
cana-1231	119	33	with	with	ADP
cana-1231	119	34	sentiment	sentiment	NOUN
cana-1231	119	35	labels	label	NOUN
cana-1231	119	36	(	(	PUNCT
cana-1231	119	37	positive	positive	ADJ
cana-1231	119	38	,	,	PUNCT
cana-1231	119	39	negative	negative	ADJ
cana-1231	119	40	,	,	PUNCT
cana-1231	119	41	neutral	neutral	ADJ
cana-1231	119	42	)	)	PUNCT
cana-1231	119	43	.	.	PUNCT
cana-1231	120	1	it	it	PRON
cana-1231	120	2	includes	include	VERB
cana-1231	120	3	original	original	ADJ
cana-1231	120	4	and	and	CCONJ
cana-1231	120	5	adversarially	adversarially	ADV
cana-1231	120	6	perturbed	perturb	VERB
cana-1231	120	7	text	text	NOUN
cana-1231	120	8	to	to	PART
cana-1231	120	9	ensure	ensure	VERB
cana-1231	120	10	robust	robust	ADJ
cana-1231	120	11	sentiment	sentiment	NOUN
cana-1231	120	12	analysis	analysis	NOUN
cana-1231	120	13	.	.	PUNCT
cana-1231	121	1	data	datum	NOUN
cana-1231	121	2	structure	structure	NOUN
cana-1231	121	3	`	`	PUNCT
cana-1231	121	4	i	i	NOUN
cana-1231	121	5	d	d	PROPN
cana-1231	121	6	`	`	PUNCT
cana-1231	121	7	:	:	PUNCT
cana-1231	121	8	unique	unique	ADJ
cana-1231	121	9	identifier	identifier	NOUN
cana-1231	121	10	for	for	ADP
cana-1231	121	11	each	each	DET
cana-1231	121	12	record	record	NOUN
cana-1231	121	13	.	.	PUNCT
cana-1231	122	1	`	`	PUNCT
cana-1231	122	2	original_text	original_text	NOUN
cana-1231	122	3	`	`	PUNCT
cana-1231	122	4	:	:	PUNCT
cana-1231	122	5	original	original	ADJ
cana-1231	122	6	text	text	NOUN
cana-1231	122	7	input	input	NOUN
cana-1231	122	8	.	.	PUNCT
cana-1231	123	1	`	`	PUNCT
cana-1231	123	2	adversarial_text	adversarial_text	PROPN
cana-1231	123	3	`	`	PUNCT
cana-1231	123	4	:	:	PUNCT
cana-1231	123	5	perturbed	perturb	VERB
cana-1231	123	6	version	version	NOUN
cana-1231	123	7	of	of	ADP
cana-1231	123	8	the	the	DET
cana-1231	123	9	original	original	ADJ
cana-1231	123	10	text	text	NOUN
cana-1231	123	11	.	.	PUNCT
cana-1231	124	1	`	`	PUNCT
cana-1231	124	2	sentiment	sentiment	NOUN
cana-1231	124	3	`	`	PUNCT
cana-1231	124	4	:	:	PUNCT
cana-1231	124	5	sentiment	sentiment	NOUN
cana-1231	124	6	label	label	NOUN
cana-1231	124	7	(	(	PUNCT
cana-1231	124	8	positive	positive	ADJ
cana-1231	124	9	,	,	PUNCT
cana-1231	124	10	negative	negative	ADJ
cana-1231	124	11	,	,	PUNCT
cana-1231	124	12	neutral	neutral	ADJ
cana-1231	124	13	)	)	PUNCT
cana-1231	124	14	.	.	PUNCT
cana-1231	125	1	i	i	PRON
cana-1231	125	2	d	d	PROPN
cana-1231	125	3	original_text	original_text	PROPN
cana-1231	125	4	adversarial_text	adversarial_text	PROPN
cana-1231	125	5	sentiment	sentiment	NOUN
cana-1231	125	6	1	1	NUM
cana-1231	125	7	i	i	PRON
cana-1231	125	8	love	love	VERB
cana-1231	125	9	this	this	DET
cana-1231	125	10	product	product	NOUN
cana-1231	125	11	!	!	PUNCT
cana-1231	126	1	i	i	PRON
cana-1231	126	2	absolutely	absolutely	ADV
cana-1231	126	3	adore	adore	VERB
cana-1231	126	4	this	this	DET
cana-1231	126	5	product	product	NOUN
cana-1231	126	6	!	!	PUNCT
cana-1231	127	1	positive	positive	ADJ
cana-1231	127	2	2	2	NUM
cana-1231	127	3	this	this	PRON
cana-1231	127	4	is	be	AUX
cana-1231	127	5	the	the	DET
cana-1231	127	6	worst	bad	ADJ
cana-1231	127	7	experience	experience	NOUN
cana-1231	127	8	ever	ever	ADV
cana-1231	127	9	.	.	PUNCT
cana-1231	128	1	this	this	PRON
cana-1231	128	2	is	be	AUX
cana-1231	128	3	the	the	DET
cana-1231	128	4	most	most	ADV
cana-1231	128	5	terrible	terrible	ADJ
cana-1231	128	6	experience	experience	NOUN
cana-1231	128	7	.	.	PUNCT
cana-1231	129	1	negative	negative	ADJ
cana-1231	129	2	3	3	NUM
cana-1231	129	3	the	the	DET
cana-1231	129	4	movie	movie	NOUN
cana-1231	129	5	was	be	AUX
cana-1231	129	6	okay	okay	ADJ
cana-1231	129	7	,	,	PUNCT
cana-1231	129	8	not	not	PART
cana-1231	129	9	great	great	ADJ
cana-1231	129	10	.	.	PUNCT
cana-1231	130	1	the	the	DET
cana-1231	130	2	film	film	NOUN
cana-1231	130	3	was	be	AUX
cana-1231	130	4	fine	fine	ADJ
cana-1231	130	5	,	,	PUNCT
cana-1231	130	6	not	not	PART
cana-1231	130	7	excellent	excellent	ADJ
cana-1231	130	8	.	.	PUNCT
cana-1231	131	1	neutral	neutral	ADJ
cana-1231	131	2	table	table	NOUN
cana-1231	131	3	2	2	NUM
cana-1231	131	4	:	:	PUNCT
cana-1231	131	5	original	original	ADJ
cana-1231	131	6	text	text	NOUN
cana-1231	131	7	and	and	CCONJ
cana-1231	131	8	adversarial	adversarial	ADJ
cana-1231	131	9	text	text	NOUN
cana-1231	131	10	comparison	comparison	NOUN
cana-1231	131	11	machine	machine	NOUN
cana-1231	131	12	translation	translation	NOUN
cana-1231	131	13	it	it	PRON
cana-1231	131	14	contains	contain	VERB
cana-1231	131	15	parallel	parallel	ADJ
cana-1231	131	16	corpora	corpora	NOUN
cana-1231	131	17	for	for	ADP
cana-1231	131	18	machine	machine	NOUN
cana-1231	131	19	translation	translation	NOUN
cana-1231	131	20	with	with	ADP
cana-1231	131	21	original	original	ADJ
cana-1231	131	22	and	and	CCONJ
cana-1231	131	23	adversarially	adversarially	ADV
cana-1231	131	24	perturbed	perturb	VERB
cana-1231	131	25	sentences	sentence	NOUN
cana-1231	131	26	and	and	CCONJ
cana-1231	131	27	covers	cover	VERB
cana-1231	131	28	multiple	multiple	ADJ
cana-1231	131	29	language	language	NOUN
cana-1231	131	30	pairs	pair	NOUN
cana-1231	131	31	to	to	PART
cana-1231	131	32	enhance	enhance	VERB
cana-1231	131	33	translation	translation	NOUN
cana-1231	131	34	robustness	robustness	NOUN
cana-1231	131	35	.	.	PUNCT
cana-1231	132	1	`	`	PUNCT
cana-1231	132	2	i	i	PRON
cana-1231	132	3	d	d	PROPN
cana-1231	132	4	`	`	PUNCT
cana-1231	132	5	:	:	PUNCT
cana-1231	132	6	unique	unique	ADJ
cana-1231	132	7	identifier	identifier	NOUN
cana-1231	132	8	for	for	ADP
cana-1231	132	9	each	each	DET
cana-1231	132	10	record	record	NOUN
cana-1231	132	11	.	.	PUNCT
cana-1231	133	1	`	`	PUNCT
cana-1231	133	2	source_language	source_language	PROPN
cana-1231	133	3	'	'	PUNCT
cana-1231	133	4	refers	refer	VERB
cana-1231	133	5	to	to	ADP
cana-1231	133	6	the	the	DET
cana-1231	133	7	text	text	NOUN
cana-1231	133	8	's	's	PART
cana-1231	133	9	source	source	NOUN
cana-1231	133	10	language	language	NOUN
cana-1231	133	11	.	.	PUNCT
cana-1231	134	1	'	'	PUNCT
cana-1231	134	2	target_language	target_language	NOUN
cana-1231	134	3	'	'	PUNCT
cana-1231	134	4	:	:	PUNCT
cana-1231	134	5	the	the	DET
cana-1231	134	6	target	target	NOUN
cana-1231	134	7	language	language	NOUN
cana-1231	134	8	for	for	ADP
cana-1231	134	9	translation	translation	NOUN
cana-1231	134	10	.	.	PUNCT
cana-1231	135	1	`	`	PUNCT
cana-1231	135	2	original_sentence	original_sentence	NOUN
cana-1231	135	3	`	`	PUNCT
cana-1231	135	4	:	:	PUNCT
cana-1231	135	5	original	original	ADJ
cana-1231	135	6	sentence	sentence	NOUN
cana-1231	135	7	in	in	ADP
cana-1231	135	8	the	the	DET
cana-1231	135	9	source	source	NOUN
cana-1231	135	10	language	language	NOUN
cana-1231	135	11	.	.	PUNCT
cana-1231	136	1	`	`	PUNCT
cana-1231	136	2	adversarial_sentence	adversarial_sentence	NOUN
cana-1231	136	3	`	`	PUNCT
cana-1231	136	4	:	:	PUNCT
cana-1231	136	5	perturbed	perturb	VERB
cana-1231	136	6	version	version	NOUN
cana-1231	136	7	of	of	ADP
cana-1231	136	8	the	the	DET
cana-1231	136	9	original	original	ADJ
cana-1231	136	10	sentence	sentence	NOUN
cana-1231	136	11	.	.	PUNCT
cana-1231	137	1	`	`	PUNCT
cana-1231	137	2	target_translation	target_translation	NOUN
cana-1231	137	3	`	`	PUNCT
cana-1231	137	4	:	:	PUNCT
cana-1231	137	5	correct	correct	ADJ
cana-1231	137	6	translation	translation	NOUN
cana-1231	137	7	in	in	ADP
cana-1231	137	8	the	the	DET
cana-1231	137	9	target	target	NOUN
cana-1231	137	10	language	language	NOUN
cana-1231	137	11	.	.	PUNCT
cana-1231	138	1	i	i	PRON
cana-1231	139	1	d	d	VERB
cana-1231	139	2	source_langua	source_langua	NOUN
cana-1231	140	1	ge	ge	PROPN
cana-1231	140	2	target_langua	target_langua	PROPN
cana-1231	141	1	ge	ge	PROPN
cana-1231	141	2	original_senten	original_senten	PROPN
cana-1231	141	3	ce	ce	PROPN
cana-1231	141	4	adversarial_senten	adversarial_senten	PROPN
cana-1231	141	5	ce	ce	PROPN
cana-1231	141	6	target_translati	target_translati	PROPN
cana-1231	141	7	on	on	ADP
cana-1231	141	8	1	1	NUM
cana-1231	141	9	english	english	PROPN
cana-1231	141	10	spanish	spanish	NOUN
cana-1231	141	11	how	how	SCONJ
cana-1231	141	12	are	be	AUX
cana-1231	141	13	you	you	PRON
cana-1231	141	14	?	?	PUNCT
cana-1231	142	1	how	how	SCONJ
cana-1231	142	2	're	be	AUX
cana-1231	142	3	you	you	PRON
cana-1231	142	4	doing	do	VERB
cana-1231	142	5	?	?	PUNCT
cana-1231	143	1	¿	¿	NOUN
cana-1231	143	2	cómo	cómo	ADJ
cana-1231	143	3	estás	estás	NOUN
cana-1231	143	4	?	?	PUNCT
cana-1231	144	1	2	2	NUM
cana-1231	144	2	french	french	ADJ
cana-1231	144	3	english	english	PROPN
cana-1231	144	4	j'aime	j'aime	PROPN
cana-1231	144	5	ce	ce	PROPN
cana-1231	144	6	livre	livre	PROPN
cana-1231	144	7	.	.	PUNCT
cana-1231	144	8	j'adore	j'adore	PROPN
cana-1231	144	9	ce	ce	PROPN
cana-1231	144	10	livre	livre	PROPN
cana-1231	144	11	.	.	PUNCT
cana-1231	145	1	i	i	PRON
cana-1231	145	2	love	love	VERB
cana-1231	145	3	this	this	DET
cana-1231	145	4	book	book	NOUN
cana-1231	145	5	.	.	PUNCT
cana-1231	146	1	3	3	NUM
cana-1231	146	2	german	german	ADJ
cana-1231	146	3	english	english	PROPN
cana-1231	146	4	das	das	PROPN
cana-1231	146	5	wetter	wetter	ADV
cana-1231	146	6	ist	ist	VERB
cana-1231	146	7	schön	schön	PROPN
cana-1231	146	8	heute	heute	PROPN
cana-1231	146	9	.	.	PUNCT
cana-1231	147	1	das	das	PROPN
cana-1231	147	2	wetter	wetter	PROPN
cana-1231	147	3	ist	ist	NOUN
cana-1231	147	4	großartig	großartig	PROPN
cana-1231	147	5	heute	heute	PROPN
cana-1231	147	6	.	.	PUNCT
cana-1231	148	1	the	the	DET
cana-1231	148	2	weather	weather	NOUN
cana-1231	148	3	is	be	AUX
cana-1231	148	4	nice	nice	ADJ
cana-1231	148	5	today	today	NOUN
cana-1231	148	6	.	.	PUNCT
cana-1231	149	1	table	table	NOUN
cana-1231	149	2	3	3	NUM
cana-1231	149	3	:	:	PUNCT
cana-1231	149	4	source	source	NOUN
cana-1231	149	5	,	,	PUNCT
cana-1231	149	6	target	target	VERB
cana-1231	149	7	original	original	ADJ
cana-1231	149	8	text	text	NOUN
cana-1231	149	9	and	and	CCONJ
cana-1231	149	10	adversarial	adversarial	ADJ
cana-1231	149	11	text	text	NOUN
cana-1231	149	12	translation	translation	NOUN
cana-1231	149	13	communications	communication	NOUN
cana-1231	149	14	on	on	ADP
cana-1231	149	15	applied	apply	VERB
cana-1231	149	16	nonlinear	nonlinear	ADJ
cana-1231	149	17	analysis	analysis	NOUN
cana-1231	149	18	issn	issn	NOUN
cana-1231	149	19	:	:	PUNCT
cana-1231	149	20	1074	1074	NUM
cana-1231	149	21	-	-	PUNCT
cana-1231	149	22	133x	133x	NUM
cana-1231	149	23	vol	vol	NOUN
cana-1231	149	24	31	31	NUM
cana-1231	149	25	no	no	NOUN
cana-1231	149	26	.	.	PUNCT
cana-1231	150	1	6s	6s	NUM
cana-1231	150	2	(	(	PUNCT
cana-1231	150	3	2024	2024	NUM
cana-1231	150	4	)	)	PUNCT
cana-1231	150	5	396	396	NUM
cana-1231	150	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1231	150	7	8	8	NUM
cana-1231	150	8	.	.	PUNCT
cana-1231	151	1	experimental	experimental	ADJ
cana-1231	151	2	results	result	NOUN
cana-1231	151	3	and	and	CCONJ
cana-1231	151	4	outcome	outcome	NOUN
cana-1231	151	5	models	model	NOUN
cana-1231	151	6	:	:	PUNCT
cana-1231	151	7	pre	pre	ADJ
cana-1231	151	8	-	-	ADJ
cana-1231	151	9	trained	train	VERB
cana-1231	151	10	nlp	nlp	NOUN
cana-1231	151	11	models	model	NOUN
cana-1231	151	12	were	be	AUX
cana-1231	151	13	fine	fine	ADV
cana-1231	151	14	-	-	PUNCT
cana-1231	151	15	tuned	tune	VERB
cana-1231	151	16	using	use	VERB
cana-1231	151	17	adversarial	adversarial	ADJ
cana-1231	151	18	training	training	NOUN
cana-1231	151	19	techniques	technique	NOUN
cana-1231	151	20	.	.	PUNCT
cana-1231	152	1	•	•	NUM
cana-1231	152	2	sentiment	sentiment	NOUN
cana-1231	152	3	analysis	analysis	NOUN
cana-1231	152	4	model	model	NOUN
cana-1231	152	5	:	:	PUNCT
cana-1231	152	6	bert	bert	NOUN
cana-1231	152	7	-	-	PUNCT
cana-1231	152	8	base	base	NOUN
cana-1231	152	9	-	-	PUNCT
cana-1231	152	10	uncased	uncased	ADJ
cana-1231	152	11	.	.	PROPN
cana-1231	152	12	•	•	NUM
cana-1231	152	13	machine	machine	NOUN
cana-1231	152	14	translation	translation	NOUN
cana-1231	152	15	model	model	NOUN
cana-1231	152	16	:	:	PUNCT
cana-1231	152	17	transformer	transformer	NOUN
cana-1231	152	18	-	-	PUNCT
cana-1231	152	19	based	base	VERB
cana-1231	152	20	model	model	NOUN
cana-1231	152	21	.	.	PUNCT
cana-1231	153	1	training	training	NOUN
cana-1231	153	2	:	:	PUNCT
cana-1231	153	3	models	model	NOUN
cana-1231	153	4	were	be	AUX
cana-1231	153	5	trained	train	VERB
cana-1231	153	6	using	use	VERB
cana-1231	153	7	both	both	CCONJ
cana-1231	153	8	the	the	DET
cana-1231	153	9	original	original	ADJ
cana-1231	153	10	and	and	CCONJ
cana-1231	153	11	adversarially	adversarially	ADV
cana-1231	153	12	perturbed	perturb	VERB
cana-1231	153	13	examples	example	NOUN
cana-1231	153	14	.	.	PUNCT
cana-1231	154	1	standard	standard	ADJ
cana-1231	154	2	training	training	NOUN
cana-1231	154	3	was	be	AUX
cana-1231	154	4	also	also	ADV
cana-1231	154	5	conducted	conduct	VERB
cana-1231	154	6	for	for	ADP
cana-1231	154	7	comparison	comparison	NOUN
cana-1231	154	8	.	.	PUNCT
cana-1231	155	1	metrics	metric	NOUN
cana-1231	155	2	:	:	PUNCT
cana-1231	155	3	evaluated	evaluate	VERB
cana-1231	155	4	using	use	VERB
cana-1231	155	5	accuracy	accuracy	NOUN
cana-1231	155	6	,	,	PUNCT
cana-1231	155	7	robustness	robustness	NOUN
cana-1231	155	8	to	to	ADP
cana-1231	155	9	adversarial	adversarial	ADJ
cana-1231	155	10	examples	example	NOUN
cana-1231	155	11	,	,	PUNCT
cana-1231	155	12	and	and	CCONJ
cana-1231	155	13	generalization	generalization	NOUN
cana-1231	155	14	to	to	ADP
cana-1231	155	15	unseen	unseen	ADJ
cana-1231	155	16	data	datum	NOUN
cana-1231	155	17	.	.	PUNCT
cana-1231	156	1	model	model	NOUN
cana-1231	156	2	accuracy	accuracy	NOUN
cana-1231	156	3	(	(	PUNCT
cana-1231	156	4	original	original	ADJ
cana-1231	156	5	)	)	PUNCT
cana-1231	156	6	accuracy	accuracy	NOUN
cana-1231	156	7	(	(	PUNCT
cana-1231	156	8	adversarial	adversarial	ADJ
cana-1231	156	9	)	)	PUNCT
cana-1231	156	10	generalization	generalization	NOUN
cana-1231	156	11	accuracy	accuracy	NOUN
cana-1231	156	12	standard	standard	PROPN
cana-1231	156	13	bert	bert	PROPN
cana-1231	156	14	89.2	89.2	NUM
cana-1231	156	15	%	%	NOUN
cana-1231	156	16	67.8	67.8	NUM
cana-1231	156	17	%	%	NOUN
cana-1231	156	18	72.5	72.5	NUM
cana-1231	156	19	%	%	NOUN
cana-1231	156	20	adversarial	adversarial	ADJ
cana-1231	156	21	trained	train	VERB
cana-1231	156	22	bert	bert	NOUN
cana-1231	156	23	87.5	87.5	NUM
cana-1231	156	24	%	%	NOUN
cana-1231	156	25	83.4	83.4	NUM
cana-1231	156	26	%	%	NOUN
cana-1231	156	27	85.1	85.1	NUM
cana-1231	156	28	%	%	NOUN
cana-1231	156	29	table	table	NOUN
cana-1231	156	30	4	4	NUM
cana-1231	156	31	:	:	PUNCT
cana-1231	156	32	comparison	comparison	NOUN
cana-1231	156	33	of	of	ADP
cana-1231	156	34	accuracy	accuracy	NOUN
cana-1231	156	35	with	with	ADP
cana-1231	156	36	original	original	ADJ
cana-1231	156	37	and	and	CCONJ
cana-1231	156	38	adversarial	adversarial	ADJ
cana-1231	156	39	with	with	ADP
cana-1231	156	40	generalized	generalized	ADJ
cana-1231	156	41	accuracy	accuracy	NOUN
cana-1231	156	42	outcome	outcome	NOUN
cana-1231	156	43	•	•	ADP
cana-1231	156	44	the	the	DET
cana-1231	156	45	adversarially	adversarially	ADV
cana-1231	156	46	trained	train	VERB
cana-1231	156	47	bert	bert	PROPN
cana-1231	156	48	model	model	NOUN
cana-1231	156	49	showed	show	VERB
cana-1231	156	50	a	a	DET
cana-1231	156	51	slight	slight	ADJ
cana-1231	156	52	decrease	decrease	NOUN
cana-1231	156	53	in	in	ADP
cana-1231	156	54	accuracy	accuracy	NOUN
cana-1231	156	55	on	on	ADP
cana-1231	156	56	the	the	DET
cana-1231	156	57	original	original	ADJ
cana-1231	156	58	dataset	dataset	NOUN
cana-1231	156	59	but	but	CCONJ
cana-1231	156	60	significantly	significantly	ADV
cana-1231	156	61	improved	improve	VERB
cana-1231	156	62	robustness	robustness	NOUN
cana-1231	156	63	to	to	ADP
cana-1231	156	64	adversarial	adversarial	ADJ
cana-1231	156	65	examples	example	NOUN
cana-1231	156	66	and	and	CCONJ
cana-1231	156	67	generalization	generalization	NOUN
cana-1231	156	68	to	to	ADP
cana-1231	156	69	unseen	unseen	ADJ
cana-1231	156	70	data	datum	NOUN
cana-1231	156	71	.	.	PUNCT
cana-1231	157	1	this	this	PRON
cana-1231	157	2	indicates	indicate	VERB
cana-1231	157	3	that	that	SCONJ
cana-1231	157	4	adversarial	adversarial	ADJ
cana-1231	157	5	training	training	NOUN
cana-1231	157	6	effectively	effectively	ADV
cana-1231	157	7	enhances	enhance	VERB
cana-1231	157	8	model	model	NOUN
cana-1231	157	9	resilience	resilience	NOUN
cana-1231	157	10	.	.	PUNCT
cana-1231	158	1	figure	figure	VERB
cana-1231	158	2	3	3	NUM
cana-1231	158	3	:	:	PUNCT
cana-1231	158	4	comparison	comparison	NOUN
cana-1231	158	5	standard	standard	ADJ
cana-1231	158	6	bert	bert	PROPN
cana-1231	158	7	and	and	CCONJ
cana-1231	158	8	adversarial	adversarial	ADJ
cana-1231	158	9	trained	train	VERB
cana-1231	158	10	bert	bert	PROPN
cana-1231	158	11	machine	machine	NOUN
cana-1231	158	12	translation	translation	NOUN
cana-1231	158	13	results	result	VERB
cana-1231	158	14	model	model	NOUN
cana-1231	158	15	bleu	bleu	NOUN
cana-1231	158	16	score	score	NOUN
cana-1231	158	17	(	(	PUNCT
cana-1231	158	18	original	original	ADJ
cana-1231	158	19	)	)	PUNCT
cana-1231	158	20	bleu	bleu	NOUN
cana-1231	158	21	score	score	NOUN
cana-1231	158	22	(	(	PUNCT
cana-1231	158	23	adversarial	adversarial	ADJ
cana-1231	158	24	)	)	PUNCT
cana-1231	158	25	generalization	generalization	NOUN
cana-1231	158	26	bleu	bleu	NOUN
cana-1231	158	27	score	score	PROPN
cana-1231	158	28	standard	standard	PROPN
cana-1231	158	29	transformer	transformer	NOUN
cana-1231	158	30	34.2	34.2	NUM
cana-1231	158	31	22.8	22.8	NUM
cana-1231	158	32	26.5	26.5	NUM
cana-1231	158	33	adversarially	adversarially	ADV
cana-1231	158	34	trained	train	VERB
cana-1231	158	35	transformer	transformer	NOUN
cana-1231	158	36	33.1	33.1	NUM
cana-1231	158	37	29.6	29.6	NUM
cana-1231	158	38	31.4	31.4	NUM
cana-1231	158	39	table	table	NOUN
cana-1231	158	40	5	5	NUM
cana-1231	158	41	:	:	PUNCT
cana-1231	158	42	comparison	comparison	NOUN
cana-1231	158	43	of	of	ADP
cana-1231	158	44	model	model	NOUN
cana-1231	158	45	with	with	ADP
cana-1231	158	46	bleu(original	bleu(original	PROPN
cana-1231	158	47	)	)	PUNCT
cana-1231	158	48	and	and	CCONJ
cana-1231	158	49	bleu(adversarial	bleu(adversarial	NUM
cana-1231	158	50	)	)	PUNCT
cana-1231	158	51	with	with	ADP
cana-1231	158	52	generalized	generalized	ADJ
cana-1231	158	53	bleu	bleu	NOUN
cana-1231	158	54	score	score	NOUN
cana-1231	158	55	communications	communication	NOUN
cana-1231	158	56	on	on	ADP
cana-1231	158	57	applied	apply	VERB
cana-1231	158	58	nonlinear	nonlinear	ADJ
cana-1231	158	59	analysis	analysis	NOUN
cana-1231	158	60	issn	issn	NOUN
cana-1231	158	61	:	:	PUNCT
cana-1231	158	62	1074	1074	NUM
cana-1231	158	63	-	-	PUNCT
cana-1231	158	64	133x	133x	NUM
cana-1231	158	65	vol	vol	NOUN
cana-1231	158	66	31	31	NUM
cana-1231	158	67	no	no	NOUN
cana-1231	158	68	.	.	PUNCT
cana-1231	159	1	6s	6s	NUM
cana-1231	159	2	(	(	PUNCT
cana-1231	159	3	2024	2024	NUM
cana-1231	159	4	)	)	PUNCT
cana-1231	159	5	397	397	NUM
cana-1231	159	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1231	159	7	9	9	NUM
cana-1231	159	8	.	.	X
cana-1231	159	9	outcome	outcome	VERB
cana-1231	159	10	•	•	NUM
cana-1231	159	11	the	the	DET
cana-1231	159	12	adversarially	adversarially	ADV
cana-1231	159	13	trained	train	VERB
cana-1231	159	14	transformer	transformer	NOUN
cana-1231	159	15	model	model	NOUN
cana-1231	159	16	experienced	experience	VERB
cana-1231	159	17	a	a	DET
cana-1231	159	18	minor	minor	ADJ
cana-1231	159	19	drop	drop	NOUN
cana-1231	159	20	in	in	ADP
cana-1231	159	21	bleu	bleu	NOUN
cana-1231	159	22	score	score	NOUN
cana-1231	159	23	on	on	ADP
cana-1231	159	24	the	the	DET
cana-1231	159	25	original	original	ADJ
cana-1231	159	26	sentences	sentence	NOUN
cana-1231	159	27	but	but	CCONJ
cana-1231	159	28	demonstrated	demonstrate	VERB
cana-1231	159	29	a	a	DET
cana-1231	159	30	notable	notable	ADJ
cana-1231	159	31	improvement	improvement	NOUN
cana-1231	159	32	in	in	ADP
cana-1231	159	33	handling	handle	VERB
cana-1231	159	34	adversarial	adversarial	ADJ
cana-1231	159	35	examples	example	NOUN
cana-1231	159	36	and	and	CCONJ
cana-1231	159	37	better	well	ADJ
cana-1231	159	38	generalization	generalization	NOUN
cana-1231	159	39	to	to	ADP
cana-1231	159	40	new	new	ADJ
cana-1231	159	41	data	datum	NOUN
cana-1231	159	42	.	.	PUNCT
cana-1231	160	1	this	this	PRON
cana-1231	160	2	suggests	suggest	VERB
cana-1231	160	3	that	that	SCONJ
cana-1231	160	4	adversarial	adversarial	ADJ
cana-1231	160	5	training	training	NOUN
cana-1231	160	6	enhances	enhance	VERB
cana-1231	160	7	the	the	DET
cana-1231	160	8	model	model	NOUN
cana-1231	160	9	’s	’s	PART
cana-1231	160	10	ability	ability	NOUN
cana-1231	160	11	to	to	PART
cana-1231	160	12	handle	handle	VERB
cana-1231	160	13	diverse	diverse	ADJ
cana-1231	160	14	linguistic	linguistic	ADJ
cana-1231	160	15	structures	structure	NOUN
cana-1231	160	16	and	and	CCONJ
cana-1231	160	17	maintain	maintain	VERB
cana-1231	160	18	translation	translation	NOUN
cana-1231	160	19	quality	quality	NOUN
cana-1231	160	20	.	.	PUNCT
cana-1231	161	1	figure	figure	VERB
cana-1231	161	2	4	4	NUM
cana-1231	161	3	:	:	PUNCT
cana-1231	161	4	comparison	comparison	NOUN
cana-1231	161	5	standard	standard	ADJ
cana-1231	161	6	transformer	transformer	NOUN
cana-1231	161	7	and	and	CCONJ
cana-1231	161	8	adversarial	adversarial	ADJ
cana-1231	161	9	trained	train	VERB
cana-1231	161	10	transformer	transformer	NOUN
cana-1231	161	11	analysis	analysis	NOUN
cana-1231	161	12	1	1	NUM
cana-1231	161	13	.	.	PUNCT
cana-1231	162	1	robustness	robustness	NOUN
cana-1231	162	2	enhancement	enhancement	NOUN
cana-1231	162	3	:	:	PUNCT
cana-1231	162	4	o	o	NOUN
cana-1231	162	5	both	both	DET
cana-1231	162	6	models	model	NOUN
cana-1231	162	7	trained	train	VERB
cana-1231	162	8	with	with	ADP
cana-1231	162	9	adversarial	adversarial	ADJ
cana-1231	162	10	examples	example	NOUN
cana-1231	162	11	showed	show	VERB
cana-1231	162	12	significant	significant	ADJ
cana-1231	162	13	improvement	improvement	NOUN
cana-1231	162	14	in	in	ADP
cana-1231	162	15	handling	handle	VERB
cana-1231	162	16	perturbed	perturb	VERB
cana-1231	162	17	inputs	input	NOUN
cana-1231	162	18	,	,	PUNCT
cana-1231	162	19	demonstrating	demonstrate	VERB
cana-1231	162	20	enhanced	enhanced	ADJ
cana-1231	162	21	robustness	robustness	NOUN
cana-1231	162	22	.	.	PUNCT
cana-1231	163	1	this	this	PRON
cana-1231	163	2	is	be	AUX
cana-1231	163	3	crucial	crucial	ADJ
cana-1231	163	4	for	for	ADP
cana-1231	163	5	real	real	ADJ
cana-1231	163	6	-	-	PUNCT
cana-1231	163	7	world	world	NOUN
cana-1231	163	8	applications	application	NOUN
cana-1231	163	9	where	where	SCONJ
cana-1231	163	10	inputs	input	NOUN
cana-1231	163	11	can	can	AUX
cana-1231	163	12	vary	vary	VERB
cana-1231	163	13	widely	widely	ADV
cana-1231	163	14	.	.	PUNCT
cana-1231	164	1	2	2	X
cana-1231	164	2	.	.	X
cana-1231	164	3	generalization	generalization	NOUN
cana-1231	164	4	improvement	improvement	NOUN
cana-1231	164	5	:	:	PUNCT
cana-1231	164	6	o	o	NOUN
cana-1231	164	7	adversarial	adversarial	ADJ
cana-1231	164	8	training	training	NOUN
cana-1231	164	9	improved	improve	VERB
cana-1231	164	10	the	the	DET
cana-1231	164	11	models	model	NOUN
cana-1231	164	12	'	'	PART
cana-1231	164	13	ability	ability	NOUN
cana-1231	164	14	to	to	PART
cana-1231	164	15	generalize	generalize	VERB
cana-1231	164	16	to	to	ADP
cana-1231	164	17	new	new	ADJ
cana-1231	164	18	,	,	PUNCT
cana-1231	164	19	unseen	unseen	ADJ
cana-1231	164	20	data	datum	NOUN
cana-1231	164	21	,	,	PUNCT
cana-1231	164	22	which	which	PRON
cana-1231	164	23	is	be	AUX
cana-1231	164	24	essential	essential	ADJ
cana-1231	164	25	for	for	ADP
cana-1231	164	26	deploying	deploy	VERB
cana-1231	164	27	models	model	NOUN
cana-1231	164	28	in	in	ADP
cana-1231	164	29	dynamic	dynamic	ADJ
cana-1231	164	30	and	and	CCONJ
cana-1231	164	31	varied	varied	ADJ
cana-1231	164	32	environments	environment	NOUN
cana-1231	164	33	.	.	PUNCT
cana-1231	165	1	3	3	X
cana-1231	165	2	.	.	X
cana-1231	165	3	trade	trade	NOUN
cana-1231	165	4	-	-	PUNCT
cana-1231	165	5	offs	off	NOUN
cana-1231	165	6	:	:	PUNCT
cana-1231	165	7	o	o	X
cana-1231	165	8	a	a	DET
cana-1231	165	9	slight	slight	ADJ
cana-1231	165	10	reduction	reduction	NOUN
cana-1231	165	11	in	in	ADP
cana-1231	165	12	performance	performance	NOUN
cana-1231	165	13	on	on	ADP
cana-1231	165	14	original	original	ADJ
cana-1231	165	15	datasets	dataset	NOUN
cana-1231	165	16	was	be	AUX
cana-1231	165	17	observed	observe	VERB
cana-1231	165	18	.	.	PUNCT
cana-1231	166	1	however	however	ADV
cana-1231	166	2	,	,	PUNCT
cana-1231	166	3	the	the	DET
cana-1231	166	4	gains	gain	NOUN
cana-1231	166	5	in	in	ADP
cana-1231	166	6	robustness	robustness	NOUN
cana-1231	166	7	and	and	CCONJ
cana-1231	166	8	generalization	generalization	NOUN
cana-1231	166	9	outweighed	outweigh	VERB
cana-1231	166	10	these	these	DET
cana-1231	166	11	minor	minor	ADJ
cana-1231	166	12	drops	drop	NOUN
cana-1231	166	13	,	,	PUNCT
cana-1231	166	14	making	make	VERB
cana-1231	166	15	adversarial	adversarial	ADJ
cana-1231	166	16	training	training	NOUN
cana-1231	166	17	a	a	DET
cana-1231	166	18	valuable	valuable	ADJ
cana-1231	166	19	technique	technique	NOUN
cana-1231	166	20	for	for	ADP
cana-1231	166	21	enhancing	enhance	VERB
cana-1231	166	22	model	model	NOUN
cana-1231	166	23	reliability	reliability	NOUN
cana-1231	166	24	.	.	PUNCT
cana-1231	167	1	communications	communication	NOUN
cana-1231	167	2	on	on	ADP
cana-1231	167	3	applied	apply	VERB
cana-1231	167	4	nonlinear	nonlinear	ADJ
cana-1231	167	5	analysis	analysis	NOUN
cana-1231	167	6	issn	issn	NOUN
cana-1231	167	7	:	:	PUNCT
cana-1231	167	8	1074	1074	NUM
cana-1231	167	9	-	-	PUNCT
cana-1231	167	10	133x	133x	NUM
cana-1231	167	11	vol	vol	NOUN
cana-1231	167	12	31	31	NUM
cana-1231	167	13	no	no	NOUN
cana-1231	167	14	.	.	PUNCT
cana-1231	168	1	6s	6s	NUM
cana-1231	168	2	(	(	PUNCT
cana-1231	168	3	2024	2024	NUM
cana-1231	168	4	)	)	PUNCT
cana-1231	168	5	398	398	NUM
cana-1231	168	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1231	168	7	figure	figure	NOUN
cana-1231	168	8	5	5	NUM
cana-1231	168	9	:	:	PUNCT
cana-1231	168	10	comparison	comparison	NOUN
cana-1231	168	11	of	of	ADP
cana-1231	168	12	precision	precision	NOUN
cana-1231	168	13	,	,	PUNCT
cana-1231	168	14	recall	recall	NOUN
cana-1231	168	15	and	and	CCONJ
cana-1231	168	16	f1	f1	NOUN
cana-1231	168	17	score	score	NOUN
cana-1231	168	18	improved	improve	VERB
cana-1231	168	19	robustness	robustness	NOUN
cana-1231	168	20	with	with	ADP
cana-1231	168	21	adversarial	adversarial	ADJ
cana-1231	168	22	training	training	NOUN
cana-1231	168	23	:	:	PUNCT
cana-1231	168	24	for	for	ADP
cana-1231	168	25	both	both	PRON
cana-1231	168	26	sentiment	sentiment	NOUN
cana-1231	168	27	analysis	analysis	NOUN
cana-1231	168	28	and	and	CCONJ
cana-1231	168	29	machine	machine	NOUN
cana-1231	168	30	translation	translation	NOUN
cana-1231	168	31	,	,	PUNCT
cana-1231	168	32	the	the	DET
cana-1231	168	33	adversarially	adversarially	ADV
cana-1231	168	34	trained	train	VERB
cana-1231	168	35	models	model	NOUN
cana-1231	168	36	outperform	outperform	VERB
cana-1231	168	37	their	their	PRON
cana-1231	168	38	standard	standard	ADJ
cana-1231	168	39	counterparts	counterpart	NOUN
cana-1231	168	40	in	in	ADP
cana-1231	168	41	precision	precision	NOUN
cana-1231	168	42	,	,	PUNCT
cana-1231	168	43	recall	recall	NOUN
cana-1231	168	44	,	,	PUNCT
cana-1231	168	45	and	and	CCONJ
cana-1231	168	46	f1	f1	PROPN
cana-1231	168	47	score	score	NOUN
cana-1231	168	48	.	.	PUNCT
cana-1231	169	1	this	this	PRON
cana-1231	169	2	indicates	indicate	VERB
cana-1231	169	3	that	that	SCONJ
cana-1231	169	4	adversarial	adversarial	ADJ
cana-1231	169	5	training	training	NOUN
cana-1231	169	6	effectively	effectively	ADV
cana-1231	169	7	enhances	enhance	VERB
cana-1231	169	8	the	the	DET
cana-1231	169	9	models	model	NOUN
cana-1231	169	10	'	'	PART
cana-1231	169	11	robustness	robustness	NOUN
cana-1231	169	12	,	,	PUNCT
cana-1231	169	13	enabling	enable	VERB
cana-1231	169	14	them	they	PRON
cana-1231	169	15	to	to	PART
cana-1231	169	16	handle	handle	VERB
cana-1231	169	17	more	more	ADV
cana-1231	169	18	challenging	challenging	ADJ
cana-1231	169	19	and	and	CCONJ
cana-1231	169	20	varied	varied	ADJ
cana-1231	169	21	inputs	input	NOUN
cana-1231	169	22	better	well	ADV
cana-1231	169	23	.	.	PUNCT
cana-1231	170	1	consistent	consistent	ADJ
cana-1231	170	2	performance	performance	NOUN
cana-1231	170	3	gains	gain	NOUN
cana-1231	170	4	across	across	ADP
cana-1231	170	5	tasks	task	NOUN
cana-1231	170	6	:	:	PUNCT
cana-1231	170	7	the	the	DET
cana-1231	170	8	performance	performance	NOUN
cana-1231	170	9	improvements	improvement	NOUN
cana-1231	170	10	are	be	AUX
cana-1231	170	11	consistent	consistent	ADJ
cana-1231	170	12	across	across	ADP
cana-1231	170	13	both	both	DET
cana-1231	170	14	tasks	task	NOUN
cana-1231	170	15	,	,	PUNCT
cana-1231	170	16	with	with	ADP
cana-1231	170	17	the	the	DET
cana-1231	170	18	adversarially	adversarially	ADV
cana-1231	170	19	trained	train	VERB
cana-1231	170	20	sentiment	sentiment	NOUN
cana-1231	170	21	analysis	analysis	NOUN
cana-1231	170	22	model	model	NOUN
cana-1231	170	23	showing	show	VERB
cana-1231	170	24	an	an	DET
cana-1231	170	25	increase	increase	NOUN
cana-1231	170	26	in	in	ADP
cana-1231	170	27	f1	f1	ADJ
cana-1231	170	28	score	score	NOUN
cana-1231	170	29	from	from	ADP
cana-1231	170	30	0.80	0.80	NUM
cana-1231	170	31	to	to	ADP
cana-1231	170	32	0.84	0.84	NUM
cana-1231	170	33	and	and	CCONJ
cana-1231	170	34	the	the	DET
cana-1231	170	35	machine	machine	NOUN
cana-1231	170	36	translation	translation	NOUN
cana-1231	170	37	model	model	NOUN
cana-1231	170	38	showing	show	VERB
cana-1231	170	39	an	an	DET
cana-1231	170	40	increase	increase	NOUN
cana-1231	170	41	from	from	ADP
cana-1231	170	42	0.75	0.75	NUM
cana-1231	170	43	to	to	ADP
cana-1231	170	44	0.79	0.79	NUM
cana-1231	170	45	.	.	PUNCT
cana-1231	171	1	this	this	PRON
cana-1231	171	2	demonstrates	demonstrate	VERB
cana-1231	171	3	that	that	SCONJ
cana-1231	171	4	adversarial	adversarial	ADJ
cana-1231	171	5	training	training	NOUN
cana-1231	171	6	is	be	AUX
cana-1231	171	7	beneficial	beneficial	ADJ
cana-1231	171	8	not	not	PART
cana-1231	171	9	just	just	ADV
cana-1231	171	10	for	for	ADP
cana-1231	171	11	a	a	DET
cana-1231	171	12	single	single	ADJ
cana-1231	171	13	type	type	NOUN
cana-1231	171	14	of	of	ADP
cana-1231	171	15	model	model	NOUN
cana-1231	171	16	but	but	CCONJ
cana-1231	171	17	can	can	AUX
cana-1231	171	18	generalize	generalize	VERB
cana-1231	171	19	to	to	ADP
cana-1231	171	20	different	different	ADJ
cana-1231	171	21	applications	application	NOUN
cana-1231	171	22	,	,	PUNCT
cana-1231	171	23	improving	improve	VERB
cana-1231	171	24	their	their	PRON
cana-1231	171	25	reliability	reliability	NOUN
cana-1231	171	26	and	and	CCONJ
cana-1231	171	27	accuracy	accuracy	NOUN
cana-1231	171	28	in	in	ADP
cana-1231	171	29	real	real	ADJ
cana-1231	171	30	-	-	PUNCT
cana-1231	171	31	world	world	NOUN
cana-1231	171	32	scenarios	scenario	NOUN
cana-1231	171	33	.	.	PUNCT
cana-1231	172	1	10	10	NUM
cana-1231	172	2	.	.	X
cana-1231	172	3	precision	precision	NOUN
cana-1231	172	4	of	of	ADP
cana-1231	172	5	the	the	DET
cana-1231	172	6	work	work	NOUN
cana-1231	172	7	➢	➢	NOUN
cana-1231	172	8	ensures	ensure	VERB
cana-1231	172	9	high	high	ADJ
cana-1231	172	10	-	-	PUNCT
cana-1231	172	11	quality	quality	NOUN
cana-1231	172	12	,	,	PUNCT
cana-1231	172	13	diverse	diverse	ADJ
cana-1231	172	14	datasets	dataset	NOUN
cana-1231	172	15	for	for	ADP
cana-1231	172	16	robust	robust	ADJ
cana-1231	172	17	model	model	NOUN
cana-1231	172	18	training	training	NOUN
cana-1231	172	19	,	,	PUNCT
cana-1231	172	20	capturing	capture	VERB
cana-1231	172	21	a	a	DET
cana-1231	172	22	wide	wide	ADJ
cana-1231	172	23	range	range	NOUN
cana-1231	172	24	of	of	ADP
cana-1231	172	25	linguistic	linguistic	ADJ
cana-1231	172	26	variations	variation	NOUN
cana-1231	172	27	and	and	CCONJ
cana-1231	172	28	real	real	ADJ
cana-1231	172	29	-	-	PUNCT
cana-1231	172	30	world	world	NOUN
cana-1231	172	31	noise	noise	NOUN
cana-1231	172	32	.	.	PUNCT
cana-1231	173	1	➢	➢	NOUN
cana-1231	173	2	generates	generate	VERB
cana-1231	173	3	high	high	ADJ
cana-1231	173	4	-	-	PUNCT
cana-1231	173	5	quality	quality	NOUN
cana-1231	173	6	adversarial	adversarial	ADJ
cana-1231	173	7	examples	example	NOUN
cana-1231	173	8	that	that	PRON
cana-1231	173	9	effectively	effectively	ADV
cana-1231	173	10	challenge	challenge	VERB
cana-1231	173	11	the	the	DET
cana-1231	173	12	models	model	NOUN
cana-1231	173	13	,	,	PUNCT
cana-1231	173	14	enhancing	enhance	VERB
cana-1231	173	15	their	their	PRON
cana-1231	173	16	ability	ability	NOUN
cana-1231	173	17	to	to	PART
cana-1231	173	18	handle	handle	VERB
cana-1231	173	19	unexpected	unexpected	ADJ
cana-1231	173	20	input	input	NOUN
cana-1231	173	21	variations	variation	NOUN
cana-1231	173	22	.	.	PUNCT
cana-1231	174	1	➢	➢	VERB
cana-1231	174	2	trains	train	NOUN
cana-1231	174	3	models	model	NOUN
cana-1231	174	4	with	with	ADP
cana-1231	174	5	a	a	DET
cana-1231	174	6	mix	mix	NOUN
cana-1231	174	7	of	of	ADP
cana-1231	174	8	original	original	ADJ
cana-1231	174	9	and	and	CCONJ
cana-1231	174	10	adversarial	adversarial	ADJ
cana-1231	174	11	examples	example	NOUN
cana-1231	174	12	,	,	PUNCT
cana-1231	174	13	improving	improve	VERB
cana-1231	174	14	their	their	PRON
cana-1231	174	15	robustness	robustness	NOUN
cana-1231	174	16	and	and	CCONJ
cana-1231	174	17	generalization	generalization	NOUN
cana-1231	174	18	across	across	ADP
cana-1231	174	19	different	different	ADJ
cana-1231	174	20	types	type	NOUN
cana-1231	174	21	of	of	ADP
cana-1231	174	22	input	input	NOUN
cana-1231	174	23	perturbations	perturbation	NOUN
cana-1231	174	24	.	.	PUNCT
cana-1231	175	1	➢	➢	PROPN
cana-1231	175	2	achieves	achieve	VERB
cana-1231	175	3	high	high	ADJ
cana-1231	175	4	accuracy	accuracy	NOUN
cana-1231	175	5	in	in	ADP
cana-1231	175	6	detecting	detect	VERB
cana-1231	175	7	sentiment	sentiment	NOUN
cana-1231	175	8	despite	despite	SCONJ
cana-1231	175	9	input	input	NOUN
cana-1231	175	10	variations	variation	NOUN
cana-1231	175	11	,	,	PUNCT
cana-1231	175	12	paraphrasing	paraphrasing	NOUN
cana-1231	175	13	,	,	PUNCT
cana-1231	175	14	and	and	CCONJ
cana-1231	175	15	misleading	misleading	ADJ
cana-1231	175	16	indicators	indicator	NOUN
cana-1231	175	17	.	.	PUNCT
cana-1231	176	1	➢	➢	NOUN
cana-1231	176	2	provides	provide	VERB
cana-1231	176	3	accurate	accurate	ADJ
cana-1231	176	4	translations	translation	NOUN
cana-1231	176	5	,	,	PUNCT
cana-1231	176	6	maintaining	maintain	VERB
cana-1231	176	7	high	high	ADJ
cana-1231	176	8	fidelity	fidelity	NOUN
cana-1231	176	9	to	to	ADP
cana-1231	176	10	the	the	DET
cana-1231	176	11	original	original	ADJ
cana-1231	176	12	meaning	meaning	NOUN
cana-1231	176	13	even	even	ADV
cana-1231	176	14	when	when	SCONJ
cana-1231	176	15	faced	face	VERB
cana-1231	176	16	with	with	ADP
cana-1231	176	17	adversarial	adversarial	ADJ
cana-1231	176	18	inputs	input	NOUN
cana-1231	176	19	and	and	CCONJ
cana-1231	176	20	linguistic	linguistic	ADJ
cana-1231	176	21	diversity	diversity	NOUN
cana-1231	176	22	.	.	PUNCT
cana-1231	177	1	➢	➢	PROPN
cana-1231	177	2	offers	offer	VERB
cana-1231	177	3	comprehensive	comprehensive	ADJ
cana-1231	177	4	evaluation	evaluation	NOUN
cana-1231	177	5	metrics	metric	NOUN
cana-1231	177	6	to	to	PART
cana-1231	177	7	ensure	ensure	VERB
cana-1231	177	8	models	model	NOUN
cana-1231	177	9	meet	meet	VERB
cana-1231	177	10	robustness	robustness	NOUN
cana-1231	177	11	and	and	CCONJ
cana-1231	177	12	performance	performance	NOUN
cana-1231	177	13	criteria	criterion	NOUN
cana-1231	177	14	in	in	ADP
cana-1231	177	15	diverse	diverse	ADJ
cana-1231	177	16	scenarios	scenario	NOUN
cana-1231	177	17	.	.	PUNCT
cana-1231	178	1	communications	communication	NOUN
cana-1231	178	2	on	on	ADP
cana-1231	178	3	applied	apply	VERB
cana-1231	178	4	nonlinear	nonlinear	ADJ
cana-1231	178	5	analysis	analysis	NOUN
cana-1231	178	6	issn	issn	NOUN
cana-1231	178	7	:	:	PUNCT
cana-1231	178	8	1074	1074	NUM
cana-1231	178	9	-	-	PUNCT
cana-1231	178	10	133x	133x	NUM
cana-1231	178	11	vol	vol	NOUN
cana-1231	178	12	31	31	NUM
cana-1231	178	13	no	no	NOUN
cana-1231	178	14	.	.	PUNCT
cana-1231	179	1	6s	6s	NUM
cana-1231	179	2	(	(	PUNCT
cana-1231	179	3	2024	2024	NUM
cana-1231	179	4	)	)	PUNCT
cana-1231	179	5	399	399	NUM
cana-1231	179	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1231	179	7	➢	➢	NOUN
cana-1231	179	8	delivers	deliver	VERB
cana-1231	179	9	an	an	DET
cana-1231	179	10	intuitive	intuitive	ADJ
cana-1231	179	11	and	and	CCONJ
cana-1231	179	12	user	user	NOUN
cana-1231	179	13	-	-	PUNCT
cana-1231	179	14	friendly	friendly	ADJ
cana-1231	179	15	experience	experience	NOUN
cana-1231	179	16	,	,	PUNCT
cana-1231	179	17	allowing	allow	VERB
cana-1231	179	18	users	user	NOUN
cana-1231	179	19	to	to	PART
cana-1231	179	20	effectively	effectively	ADV
cana-1231	179	21	interact	interact	VERB
cana-1231	179	22	with	with	ADP
cana-1231	179	23	the	the	DET
cana-1231	179	24	models	model	NOUN
cana-1231	179	25	and	and	CCONJ
cana-1231	179	26	interpret	interpret	VERB
cana-1231	179	27	results	result	NOUN
cana-1231	179	28	.	.	PUNCT
cana-1231	180	1	11	11	NUM
cana-1231	180	2	.	.	X
cana-1231	180	3	conclusion	conclusion	NOUN
cana-1231	180	4	this	this	DET
cana-1231	180	5	project	project	NOUN
cana-1231	180	6	aims	aim	VERB
cana-1231	180	7	to	to	PART
cana-1231	180	8	enhance	enhance	VERB
cana-1231	180	9	the	the	DET
cana-1231	180	10	robustness	robustness	NOUN
cana-1231	180	11	and	and	CCONJ
cana-1231	180	12	accuracy	accuracy	NOUN
cana-1231	180	13	of	of	ADP
cana-1231	180	14	sentiment	sentiment	NOUN
cana-1231	180	15	analysis	analysis	NOUN
cana-1231	180	16	and	and	CCONJ
cana-1231	180	17	machine	machine	NOUN
cana-1231	180	18	translation	translation	NOUN
cana-1231	180	19	models	model	NOUN
cana-1231	180	20	through	through	ADP
cana-1231	180	21	adversarial	adversarial	ADJ
cana-1231	180	22	training	training	NOUN
cana-1231	180	23	.	.	PUNCT
cana-1231	181	1	by	by	ADP
cana-1231	181	2	incorporating	incorporate	VERB
cana-1231	181	3	a	a	DET
cana-1231	181	4	series	series	NOUN
cana-1231	181	5	of	of	ADP
cana-1231	181	6	well	well	ADV
cana-1231	181	7	-	-	PUNCT
cana-1231	181	8	structured	structure	VERB
cana-1231	181	9	modules	module	NOUN
cana-1231	181	10	,	,	PUNCT
cana-1231	181	11	from	from	ADP
cana-1231	181	12	data	datum	NOUN
cana-1231	181	13	collection	collection	NOUN
cana-1231	181	14	to	to	ADP
cana-1231	181	15	user	user	NOUN
cana-1231	181	16	interface	interface	NOUN
cana-1231	181	17	design	design	NOUN
cana-1231	181	18	,	,	PUNCT
cana-1231	181	19	the	the	DET
cana-1231	181	20	project	project	NOUN
cana-1231	181	21	ensures	ensure	VERB
cana-1231	181	22	that	that	SCONJ
cana-1231	181	23	models	model	NOUN
cana-1231	181	24	are	be	AUX
cana-1231	181	25	exposed	expose	VERB
cana-1231	181	26	to	to	ADP
cana-1231	181	27	and	and	CCONJ
cana-1231	181	28	can	can	AUX
cana-1231	181	29	effectively	effectively	ADV
cana-1231	181	30	handle	handle	VERB
cana-1231	181	31	challenging	challenging	ADJ
cana-1231	181	32	perturbations	perturbation	NOUN
cana-1231	181	33	and	and	CCONJ
cana-1231	181	34	noise	noise	NOUN
cana-1231	181	35	.	.	PUNCT
cana-1231	182	1	the	the	DET
cana-1231	182	2	models	model	NOUN
cana-1231	182	3	trained	train	VERB
cana-1231	182	4	through	through	ADP
cana-1231	182	5	this	this	DET
cana-1231	182	6	approach	approach	NOUN
cana-1231	182	7	demonstrate	demonstrate	VERB
cana-1231	182	8	improved	improved	ADJ
cana-1231	182	9	performance	performance	NOUN
cana-1231	182	10	on	on	ADP
cana-1231	182	11	user	user	NOUN
cana-1231	182	12	-	-	PUNCT
cana-1231	182	13	generated	generate	VERB
cana-1231	182	14	content	content	NOUN
cana-1231	182	15	,	,	PUNCT
cana-1231	182	16	better	well	ADJ
cana-1231	182	17	handling	handling	NOUN
cana-1231	182	18	of	of	ADP
cana-1231	182	19	diverse	diverse	ADJ
cana-1231	182	20	linguistic	linguistic	ADJ
cana-1231	182	21	structures	structure	NOUN
cana-1231	182	22	,	,	PUNCT
cana-1231	182	23	and	and	CCONJ
cana-1231	182	24	higher	high	ADJ
cana-1231	182	25	reliability	reliability	NOUN
cana-1231	182	26	in	in	ADP
cana-1231	182	27	translation	translation	NOUN
cana-1231	182	28	tasks	task	NOUN
cana-1231	182	29	.	.	PUNCT
cana-1231	183	1	this	this	PRON
cana-1231	183	2	results	result	VERB
cana-1231	183	3	in	in	ADP
cana-1231	183	4	more	more	ADV
cana-1231	183	5	resilient	resilient	ADJ
cana-1231	183	6	and	and	CCONJ
cana-1231	183	7	reliable	reliable	ADJ
cana-1231	183	8	nlp	nlp	NOUN
cana-1231	183	9	applications	application	NOUN
cana-1231	183	10	,	,	PUNCT
cana-1231	183	11	benefiting	benefit	VERB
cana-1231	183	12	international	international	ADJ
cana-1231	183	13	communication	communication	NOUN
cana-1231	183	14	,	,	PUNCT
cana-1231	183	15	content	content	NOUN
cana-1231	183	16	localization	localization	NOUN
cana-1231	183	17	,	,	PUNCT
cana-1231	183	18	and	and	CCONJ
cana-1231	183	19	multilingual	multilingual	ADJ
cana-1231	183	20	information	information	NOUN
cana-1231	183	21	retrieval	retrieval	NOUN
cana-1231	183	22	.	.	PUNCT
cana-1231	184	1	future	future	ADJ
cana-1231	184	2	scope	scope	NOUN
cana-1231	184	3	➢	➢	NOUN
cana-1231	184	4	enhanced	enhance	VERB
cana-1231	184	5	adversarial	adversarial	ADJ
cana-1231	184	6	techniques	technique	NOUN
cana-1231	184	7	➢	➢	VERB
cana-1231	184	8	cross	cross	ADJ
cana-1231	184	9	-	-	ADJ
cana-1231	184	10	linguistic	linguistic	ADJ
cana-1231	184	11	and	and	CCONJ
cana-1231	184	12	multimodal	multimodal	NOUN
cana-1231	184	13	expansion	expansion	NOUN
cana-1231	184	14	➢	➢	VERB
cana-1231	184	15	real	real	ADJ
cana-1231	184	16	-	-	PUNCT
cana-1231	184	17	time	time	NOUN
cana-1231	184	18	application	application	NOUN
cana-1231	184	19	and	and	CCONJ
cana-1231	184	20	deployment	deployment	NOUN
cana-1231	184	21	➢	➢	NOUN
cana-1231	184	22	continuous	continuous	ADJ
cana-1231	184	23	learning	learning	NOUN
cana-1231	184	24	and	and	CCONJ
cana-1231	184	25	adaptation	adaptation	NOUN
cana-1231	184	26	➢	➢	NOUN
cana-1231	184	27	user	user	NOUN
cana-1231	184	28	-	-	PUNCT
cana-1231	184	29	centric	centric	ADJ
cana-1231	184	30	enhancements	enhancement	NOUN
cana-1231	184	31	➢	➢	VERB
cana-1231	184	32	ethical	ethical	ADJ
cana-1231	184	33	and	and	CCONJ
cana-1231	184	34	fairness	fairness	NOUN
cana-1231	184	35	considerations	consideration	NOUN
cana-1231	184	36	references	reference	NOUN
cana-1231	184	37	[	[	X
cana-1231	184	38	1	1	NUM
cana-1231	184	39	]	]	PUNCT
cana-1231	184	40	“	"	PUNCT
cana-1231	184	41	zhao	zhao	PROPN
cana-1231	184	42	,	,	PUNCT
cana-1231	184	43	j.	j.	PROPN
cana-1231	184	44	,	,	PUNCT
cana-1231	184	45	et	et	PROPN
cana-1231	184	46	al	al	PROPN
cana-1231	184	47	.	.	PROPN
cana-1231	185	1	(	(	PUNCT
cana-1231	185	2	2020	2020	NUM
cana-1231	185	3	)	)	PUNCT
cana-1231	185	4	.	.	PUNCT
cana-1231	186	1	"	"	PUNCT
cana-1231	186	2	adversarial	adversarial	ADJ
cana-1231	186	3	training	training	NOUN
cana-1231	186	4	techniques	technique	NOUN
cana-1231	186	5	to	to	PART
cana-1231	186	6	improve	improve	VERB
cana-1231	186	7	sentiment	sentiment	NOUN
cana-1231	186	8	analysis	analysis	NOUN
cana-1231	186	9	models	model	NOUN
cana-1231	186	10	'	'	PART
cana-1231	186	11	robustness	robustness	NOUN
cana-1231	186	12	against	against	ADP
cana-1231	186	13	adversarial	adversarial	ADJ
cana-1231	186	14	examples	example	NOUN
cana-1231	186	15	and	and	CCONJ
cana-1231	186	16	subtle	subtle	ADJ
cana-1231	186	17	variations	variation	NOUN
cana-1231	186	18	in	in	ADP
cana-1231	186	19	sentiment	sentiment	NOUN
cana-1231	186	20	expression	expression	NOUN
cana-1231	186	21	.	.	PUNCT
cana-1231	186	22	"	"	PUNCT
cana-1231	187	1	journal	journal	NOUN
cana-1231	187	2	of	of	ADP
cana-1231	187	3	sentiment	sentiment	NOUN
cana-1231	187	4	analysis	analysis	NOUN
cana-1231	187	5	research	research	NOUN
cana-1231	187	6	,	,	PUNCT
cana-1231	187	7	15(3	15(3	NUM
cana-1231	187	8	)	)	PUNCT
cana-1231	187	9	,	,	PUNCT
cana-1231	187	10	210	210	NUM
cana-1231	187	11	-	-	SYM
cana-1231	187	12	224	224	NUM
cana-1231	187	13	”	"	PUNCT
cana-1231	187	14	.	.	PUNCT
cana-1231	188	1	[	[	X
cana-1231	188	2	2	2	X
cana-1231	188	3	]	]	PUNCT
cana-1231	188	4	“	"	PUNCT
cana-1231	188	5	zhang	zhang	PROPN
cana-1231	188	6	,	,	PUNCT
cana-1231	188	7	h.	h.	PROPN
cana-1231	188	8	,	,	PUNCT
cana-1231	188	9	et	et	PROPN
cana-1231	188	10	al	al	PROPN
cana-1231	188	11	.	.	PROPN
cana-1231	188	12	(	(	PUNCT
cana-1231	188	13	2019	2019	NUM
cana-1231	188	14	)	)	PUNCT
cana-1231	188	15	.	.	PUNCT
cana-1231	189	1	"	"	PUNCT
cana-1231	189	2	enhancing	enhance	VERB
cana-1231	189	3	sentiment	sentiment	NOUN
cana-1231	189	4	analysis	analysis	NOUN
cana-1231	189	5	with	with	ADP
cana-1231	189	6	adversarial	adversarial	ADJ
cana-1231	189	7	learning	learning	NOUN
cana-1231	189	8	.	.	PUNCT
cana-1231	189	9	"	"	PUNCT
cana-1231	189	10	proceedings	proceeding	NOUN
cana-1231	189	11	of	of	ADP
cana-1231	189	12	the	the	DET
cana-1231	189	13	annual	annual	ADJ
cana-1231	189	14	conference	conference	NOUN
cana-1231	189	15	on	on	ADP
cana-1231	189	16	empirical	empirical	ADJ
cana-1231	189	17	methods	method	NOUN
cana-1231	189	18	in	in	ADP
cana-1231	189	19	natural	natural	ADJ
cana-1231	189	20	language	language	NOUN
cana-1231	189	21	processing	processing	NOUN
cana-1231	189	22	(	(	PUNCT
cana-1231	189	23	emnlp	emnlp	ADJ
cana-1231	189	24	)	)	PUNCT
cana-1231	189	25	,	,	PUNCT
cana-1231	189	26	567	567	NUM
cana-1231	189	27	-	-	SYM
cana-1231	189	28	576	576	NUM
cana-1231	189	29	”	"	PUNCT
cana-1231	189	30	.	.	PUNCT
cana-1231	190	1	[	[	X
cana-1231	190	2	3	3	X
cana-1231	190	3	]	]	PUNCT
cana-1231	190	4	“	"	PUNCT
cana-1231	190	5	liu	liu	PROPN
cana-1231	190	6	,	,	PUNCT
cana-1231	190	7	q.	q.	PROPN
cana-1231	190	8	,	,	PUNCT
cana-1231	190	9	et	et	PROPN
cana-1231	190	10	al	al	PROPN
cana-1231	190	11	.	.	PROPN
cana-1231	190	12	(	(	PUNCT
cana-1231	190	13	2021	2021	NUM
cana-1231	190	14	)	)	PUNCT
cana-1231	190	15	.	.	PUNCT
cana-1231	191	1	"	"	PUNCT
cana-1231	191	2	adversarial	adversarial	ADJ
cana-1231	191	3	training	training	NOUN
cana-1231	191	4	for	for	ADP
cana-1231	191	5	fine	fine	ADV
cana-1231	191	6	-	-	PUNCT
cana-1231	191	7	grained	grain	VERB
cana-1231	191	8	sentiment	sentiment	NOUN
cana-1231	191	9	analysis	analysis	NOUN
cana-1231	191	10	.	.	PUNCT
cana-1231	191	11	"	"	PUNCT
cana-1231	192	1	transactions	transaction	NOUN
cana-1231	192	2	of	of	ADP
cana-1231	192	3	the	the	DET
cana-1231	192	4	association	association	NOUN
cana-1231	192	5	for	for	ADP
cana-1231	192	6	computational	computational	ADJ
cana-1231	192	7	linguistics	linguistic	NOUN
cana-1231	192	8	,	,	PUNCT
cana-1231	192	9	9	9	NUM
cana-1231	192	10	,	,	PUNCT
cana-1231	192	11	152	152	NUM
cana-1231	192	12	-	-	SYM
cana-1231	192	13	166	166	NUM
cana-1231	192	14	”	"	PUNCT
cana-1231	192	15	.	.	PUNCT
cana-1231	193	1	[	[	X
cana-1231	193	2	4	4	X
cana-1231	193	3	]	]	PUNCT
cana-1231	193	4	“	"	PUNCT
cana-1231	193	5	wu	wu	PROPN
cana-1231	193	6	,	,	PUNCT
cana-1231	193	7	y.	y.	PROPN
cana-1231	193	8	,	,	PUNCT
cana-1231	193	9	et	et	PROPN
cana-1231	193	10	al	al	PROPN
cana-1231	193	11	.	.	PUNCT
cana-1231	193	12	(	(	PUNCT
cana-1231	193	13	2018	2018	NUM
cana-1231	193	14	)	)	PUNCT
cana-1231	193	15	.	.	PUNCT
cana-1231	194	1	"	"	PUNCT
cana-1231	194	2	adversarial	adversarial	ADJ
cana-1231	194	3	training	training	NOUN
cana-1231	194	4	for	for	ADP
cana-1231	194	5	neural	neural	ADJ
cana-1231	194	6	machine	machine	NOUN
cana-1231	194	7	translation	translation	NOUN
cana-1231	194	8	.	.	PUNCT
cana-1231	194	9	"	"	PUNCT
cana-1231	195	1	proceedings	proceeding	NOUN
cana-1231	195	2	of	of	ADP
cana-1231	195	3	the	the	DET
cana-1231	195	4	conference	conference	NOUN
cana-1231	195	5	on	on	ADP
cana-1231	195	6	neural	neural	ADJ
cana-1231	195	7	information	information	NOUN
cana-1231	195	8	processing	processing	NOUN
cana-1231	195	9	systems	system	NOUN
cana-1231	195	10	(	(	PUNCT
cana-1231	195	11	neurips	neurip	NOUN
cana-1231	195	12	)	)	PUNCT
cana-1231	195	13	,	,	PUNCT
cana-1231	195	14	3006	3006	NUM
cana-1231	195	15	-	-	SYM
cana-1231	195	16	3015	3015	NUM
cana-1231	195	17	”	"	PUNCT
cana-1231	195	18	.	.	PUNCT
cana-1231	196	1	[	[	X
cana-1231	196	2	5	5	NUM
cana-1231	196	3	]	]	PUNCT
cana-1231	196	4	“	"	PUNCT
cana-1231	196	5	zhang	zhang	PROPN
cana-1231	196	6	,	,	PUNCT
cana-1231	196	7	x.	x.	PROPN
cana-1231	196	8	,	,	PUNCT
cana-1231	196	9	and	and	CCONJ
cana-1231	196	10	zou	zou	PROPN
cana-1231	196	11	,	,	PUNCT
cana-1231	196	12	y.	y.	PROPN
cana-1231	196	13	(	(	PUNCT
cana-1231	196	14	2020	2020	NUM
cana-1231	196	15	)	)	PUNCT
cana-1231	196	16	.	.	PUNCT
cana-1231	197	1	"	"	PUNCT
cana-1231	197	2	improving	improve	VERB
cana-1231	197	3	translation	translation	NOUN
cana-1231	197	4	quality	quality	NOUN
cana-1231	197	5	with	with	ADP
cana-1231	197	6	adversarial	adversarial	ADJ
cana-1231	197	7	training	training	NOUN
cana-1231	197	8	.	.	PUNCT
cana-1231	197	9	"	"	PUNCT
cana-1231	197	10	proceedings	proceeding	NOUN
cana-1231	197	11	of	of	ADP
cana-1231	197	12	the	the	DET
cana-1231	197	13	international	international	ADJ
cana-1231	197	14	conference	conference	NOUN
cana-1231	197	15	on	on	ADP
cana-1231	197	16	learning	learn	VERB
cana-1231	197	17	representations	representation	NOUN
cana-1231	197	18	(	(	PUNCT
cana-1231	197	19	iclr	iclr	NOUN
cana-1231	197	20	)	)	PUNCT
cana-1231	197	21	,	,	PUNCT
cana-1231	197	22	110	110	NUM
cana-1231	197	23	-	-	SYM
cana-1231	197	24	120	120	NUM
cana-1231	197	25	”	"	PUNCT
cana-1231	197	26	.	.	PUNCT
cana-1231	198	1	[	[	X
cana-1231	198	2	6	6	NUM
cana-1231	198	3	]	]	PUNCT
cana-1231	198	4	“	"	PUNCT
cana-1231	198	5	lee	lee	PROPN
cana-1231	198	6	,	,	PUNCT
cana-1231	198	7	k.	k.	PROPN
cana-1231	198	8	,	,	PUNCT
cana-1231	198	9	et	et	PROPN
cana-1231	198	10	al	al	PROPN
cana-1231	198	11	.	.	PROPN
cana-1231	198	12	(	(	PUNCT
cana-1231	198	13	2021	2021	NUM
cana-1231	198	14	)	)	PUNCT
cana-1231	198	15	.	.	PUNCT
cana-1231	199	1	"	"	PUNCT
cana-1231	199	2	adversarial	adversarial	ADJ
cana-1231	199	3	training	training	NOUN
cana-1231	199	4	for	for	ADP
cana-1231	199	5	robust	robust	ADJ
cana-1231	199	6	multilingual	multilingual	ADJ
cana-1231	199	7	translation	translation	NOUN
cana-1231	199	8	.	.	PUNCT
cana-1231	199	9	"	"	PUNCT
cana-1231	200	1	proceedings	proceeding	NOUN
cana-1231	200	2	of	of	ADP
cana-1231	200	3	the	the	DET
cana-1231	200	4	annual	annual	ADJ
cana-1231	200	5	meeting	meeting	NOUN
cana-1231	200	6	of	of	ADP
cana-1231	200	7	the	the	DET
cana-1231	200	8	association	association	NOUN
cana-1231	200	9	for	for	ADP
cana-1231	200	10	computational	computational	ADJ
cana-1231	200	11	linguistics	linguistic	NOUN
cana-1231	200	12	(	(	PUNCT
cana-1231	200	13	acl	acl	PROPN
cana-1231	200	14	)	)	PUNCT
cana-1231	200	15	,	,	PUNCT
cana-1231	200	16	1234	1234	NUM
cana-1231	200	17	-	-	SYM
cana-1231	200	18	1245	1245	NUM
cana-1231	200	19	”	"	PUNCT
cana-1231	200	20	.	.	PUNCT
cana-1231	201	1	[	[	X
cana-1231	201	2	7	7	X
cana-1231	201	3	]	]	PUNCT
cana-1231	201	4	“	"	PUNCT
cana-1231	201	5	goodfellow	goodfellow	PROPN
cana-1231	201	6	,	,	PUNCT
cana-1231	201	7	i.	i.	PROPN
cana-1231	201	8	,	,	PUNCT
cana-1231	201	9	et	et	PROPN
cana-1231	201	10	al	al	PROPN
cana-1231	201	11	.	.	PUNCT
cana-1231	202	1	(	(	PUNCT
cana-1231	202	2	2014	2014	NUM
cana-1231	202	3	)	)	PUNCT
cana-1231	202	4	.	.	PUNCT
cana-1231	203	1	"	"	PUNCT
cana-1231	203	2	explaining	explain	VERB
cana-1231	203	3	and	and	CCONJ
cana-1231	203	4	harnessing	harness	VERB
cana-1231	203	5	adversarial	adversarial	ADJ
cana-1231	203	6	examples	example	NOUN
cana-1231	203	7	.	.	PUNCT
cana-1231	203	8	"	"	PUNCT
cana-1231	204	1	arxiv	arxiv	PROPN
cana-1231	204	2	preprint	preprint	NOUN
cana-1231	204	3	arxiv:1412.6572	arxiv:1412.6572	PROPN
cana-1231	204	4	”	"	PUNCT
cana-1231	204	5	.	.	PUNCT
cana-1231	205	1	[	[	X
cana-1231	205	2	8	8	NUM
cana-1231	205	3	]	]	PUNCT
cana-1231	205	4	“	"	PUNCT
cana-1231	205	5	madry	madry	ADJ
cana-1231	205	6	,	,	PUNCT
cana-1231	205	7	a.	a.	PROPN
cana-1231	205	8	,	,	PUNCT
cana-1231	205	9	et	et	PROPN
cana-1231	205	10	al	al	PROPN
cana-1231	205	11	.	.	PUNCT
cana-1231	206	1	(	(	PUNCT
cana-1231	206	2	2018)."towards	2018)."towards	NUM
cana-1231	206	3	deep	deep	ADJ
cana-1231	206	4	learning	learning	NOUN
cana-1231	206	5	models	model	NOUN
cana-1231	206	6	resistant	resistant	ADJ
cana-1231	206	7	to	to	ADP
cana-1231	206	8	adversarial	adversarial	ADJ
cana-1231	206	9	attacks	attack	NOUN
cana-1231	206	10	.	.	PUNCT
cana-1231	206	11	"	"	PUNCT
cana-1231	207	1	proceedings	proceeding	NOUN
cana-1231	207	2	of	of	ADP
cana-1231	207	3	the	the	DET
cana-1231	207	4	international	international	ADJ
cana-1231	207	5	conference	conference	NOUN
cana-1231	207	6	on	on	ADP
cana-1231	207	7	learning	learn	VERB
cana-1231	207	8	representations	representation	NOUN
cana-1231	207	9	(	(	PUNCT
cana-1231	207	10	iclr	iclr	NOUN
cana-1231	207	11	)	)	PUNCT
cana-1231	207	12	,	,	PUNCT
cana-1231	207	13	160	160	NUM
cana-1231	207	14	-	-	SYM
cana-1231	207	15	171	171	NUM
cana-1231	207	16	”	"	PUNCT
cana-1231	207	17	.	.	PUNCT
cana-1231	208	1	[	[	X
cana-1231	208	2	9	9	NUM
cana-1231	208	3	]	]	PUNCT
cana-1231	208	4	“	"	PUNCT
cana-1231	208	5	barocas	barocas	PROPN
cana-1231	208	6	,	,	PUNCT
cana-1231	208	7	s.	s.	PROPN
cana-1231	208	8	,	,	PUNCT
cana-1231	208	9	and	and	CCONJ
cana-1231	208	10	selbst	selbst	VERB
cana-1231	208	11	,	,	PUNCT
cana-1231	208	12	a.	a.	NOUN
cana-1231	208	13	(	(	PUNCT
cana-1231	208	14	2016	2016	NUM
cana-1231	208	15	)	)	PUNCT
cana-1231	208	16	.	.	PUNCT
cana-1231	209	1	"	"	PUNCT
cana-1231	209	2	big	big	ADJ
cana-1231	209	3	data	datum	NOUN
cana-1231	209	4	's	's	PART
cana-1231	209	5	disparate	disparate	ADJ
cana-1231	209	6	impact	impact	NOUN
cana-1231	209	7	.	.	PUNCT
cana-1231	209	8	"	"	PUNCT
cana-1231	210	1	california	california	PROPN
cana-1231	210	2	law	law	PROPN
cana-1231	210	3	review	review	PROPN
cana-1231	210	4	,	,	PUNCT
cana-1231	210	5	104(3	104(3	NUM
cana-1231	210	6	)	)	PUNCT
cana-1231	210	7	,	,	PUNCT
cana-1231	210	8	671	671	NUM
cana-1231	210	9	-	-	SYM
cana-1231	210	10	732	732	NUM
cana-1231	210	11	”	"	PUNCT
cana-1231	210	12	.	.	PUNCT
cana-1231	211	1	[	[	X
cana-1231	211	2	10	10	NUM
cana-1231	211	3	]	]	PUNCT
cana-1231	211	4	“	"	PUNCT
cana-1231	211	5	miyato	miyato	PROPN
cana-1231	211	6	,	,	PUNCT
cana-1231	211	7	t.	t.	PROPN
cana-1231	211	8	,	,	PUNCT
cana-1231	211	9	et	et	PROPN
cana-1231	211	10	al	al	PROPN
cana-1231	211	11	.	.	PUNCT
cana-1231	212	1	(	(	PUNCT
cana-1231	212	2	2017	2017	NUM
cana-1231	212	3	)	)	PUNCT
cana-1231	212	4	.	.	PUNCT
cana-1231	213	1	"	"	PUNCT
cana-1231	213	2	adversarial	adversarial	ADJ
cana-1231	213	3	training	training	NOUN
cana-1231	213	4	methods	method	NOUN
cana-1231	213	5	for	for	ADP
cana-1231	213	6	semi	semi	ADJ
cana-1231	213	7	-	-	ADJ
cana-1231	213	8	supervised	supervised	ADJ
cana-1231	213	9	text	text	NOUN
cana-1231	213	10	classification	classification	NOUN
cana-1231	213	11	.	.	PUNCT
cana-1231	213	12	"	"	PUNCT
cana-1231	214	1	proceedings	proceeding	NOUN
cana-1231	214	2	of	of	ADP
cana-1231	214	3	the	the	DET
cana-1231	214	4	international	international	ADJ
cana-1231	214	5	conference	conference	NOUN
cana-1231	214	6	on	on	ADP
cana-1231	214	7	learning	learn	VERB
cana-1231	214	8	representations	representation	NOUN
cana-1231	214	9	(	(	PUNCT
cana-1231	214	10	iclr	iclr	NOUN
cana-1231	214	11	)	)	PUNCT
cana-1231	214	12	,	,	PUNCT
cana-1231	214	13	1	1	NUM
cana-1231	214	14	-	-	SYM
cana-1231	214	15	10	10	NUM
cana-1231	214	16	”	"	PUNCT
cana-1231	214	17	.	.	PUNCT
cana-1231	215	1	communications	communication	NOUN
cana-1231	215	2	on	on	ADP
cana-1231	215	3	applied	apply	VERB
cana-1231	215	4	nonlinear	nonlinear	ADJ
cana-1231	215	5	analysis	analysis	NOUN
cana-1231	215	6	issn	issn	NOUN
cana-1231	215	7	:	:	PUNCT
cana-1231	215	8	1074	1074	NUM
cana-1231	215	9	-	-	PUNCT
cana-1231	215	10	133x	133x	NUM
cana-1231	215	11	vol	vol	NOUN
cana-1231	215	12	31	31	NUM
cana-1231	215	13	no	no	NOUN
cana-1231	215	14	.	.	PUNCT
cana-1231	216	1	6s	6s	NUM
cana-1231	216	2	(	(	PUNCT
cana-1231	216	3	2024	2024	NUM
cana-1231	216	4	)	)	PUNCT
cana-1231	216	5	400	400	NUM
cana-1231	216	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1231	217	1	[	[	X
cana-1231	217	2	11	11	NUM
cana-1231	217	3	]	]	PUNCT
cana-1231	217	4	“	"	PUNCT
cana-1231	217	5	jia	jia	PROPN
cana-1231	217	6	,	,	PUNCT
cana-1231	217	7	r.	r.	PROPN
cana-1231	217	8	,	,	PUNCT
cana-1231	217	9	and	and	CCONJ
cana-1231	217	10	liang	liang	PROPN
cana-1231	217	11	,	,	PUNCT
cana-1231	217	12	p.	p.	NOUN
cana-1231	217	13	(	(	PUNCT
cana-1231	217	14	2017	2017	NUM
cana-1231	217	15	)	)	PUNCT
cana-1231	217	16	.	.	PUNCT
cana-1231	218	1	"	"	PUNCT
cana-1231	218	2	adversarial	adversarial	ADJ
cana-1231	218	3	examples	example	NOUN
cana-1231	218	4	for	for	ADP
cana-1231	218	5	evaluating	evaluate	VERB
cana-1231	218	6	reading	reading	NOUN
cana-1231	218	7	comprehension	comprehension	NOUN
cana-1231	218	8	systems	system	NOUN
cana-1231	218	9	.	.	PUNCT
cana-1231	218	10	"	"	PUNCT
cana-1231	219	1	proceedings	proceeding	NOUN
cana-1231	219	2	of	of	ADP
cana-1231	219	3	the	the	DET
cana-1231	219	4	conference	conference	NOUN
cana-1231	219	5	on	on	ADP
cana-1231	219	6	empirical	empirical	ADJ
cana-1231	219	7	methods	method	NOUN
cana-1231	219	8	in	in	ADP
cana-1231	219	9	natural	natural	ADJ
cana-1231	219	10	language	language	NOUN
cana-1231	219	11	processing	processing	NOUN
cana-1231	219	12	(	(	PUNCT
cana-1231	219	13	emnlp	emnlp	ADJ
cana-1231	219	14	)	)	PUNCT
cana-1231	219	15	,	,	PUNCT
cana-1231	219	16	2021	2021	NUM
cana-1231	219	17	-	-	SYM
cana-1231	219	18	2031	2031	NUM
cana-1231	219	19	”	"	PUNCT
cana-1231	219	20	.	.	PUNCT
cana-1231	220	1	[	[	X
cana-1231	220	2	12	12	NUM
cana-1231	220	3	]	]	PUNCT
cana-1231	220	4	“	"	PUNCT
cana-1231	220	5	shen	shen	PROPN
cana-1231	220	6	,	,	PUNCT
cana-1231	220	7	s.	s.	PROPN
cana-1231	220	8	,	,	PUNCT
cana-1231	220	9	et	et	PROPN
cana-1231	220	10	al	al	PROPN
cana-1231	220	11	.	.	PROPN
cana-1231	220	12	(	(	PUNCT
cana-1231	220	13	2019	2019	NUM
cana-1231	220	14	)	)	PUNCT
cana-1231	220	15	.	.	PUNCT
cana-1231	221	1	"	"	PUNCT
cana-1231	221	2	mixture	mixture	NOUN
cana-1231	221	3	models	model	NOUN
cana-1231	221	4	for	for	ADP
cana-1231	221	5	diverse	diverse	ADJ
cana-1231	221	6	machine	machine	NOUN
cana-1231	221	7	translation	translation	NOUN
cana-1231	221	8	:	:	PUNCT
cana-1231	221	9	tricks	trick	NOUN
cana-1231	221	10	of	of	ADP
cana-1231	221	11	the	the	DET
cana-1231	221	12	trade	trade	NOUN
cana-1231	221	13	.	.	PUNCT
cana-1231	221	14	"	"	PUNCT
cana-1231	222	1	proceedings	proceeding	NOUN
cana-1231	222	2	of	of	ADP
cana-1231	222	3	the	the	DET
cana-1231	222	4	international	international	ADJ
cana-1231	222	5	conference	conference	NOUN
cana-1231	222	6	on	on	ADP
cana-1231	222	7	learning	learn	VERB
cana-1231	222	8	representations	representation	NOUN
cana-1231	222	9	(	(	PUNCT
cana-1231	222	10	iclr	iclr	NOUN
cana-1231	222	11	)	)	PUNCT
cana-1231	222	12	,	,	PUNCT
cana-1231	222	13	20	20	NUM
cana-1231	222	14	-	-	SYM
cana-1231	222	15	32	32	NUM
cana-1231	222	16	”	"	PUNCT
cana-1231	222	17	.	.	PUNCT
cana-1231	223	1	[	[	X
cana-1231	223	2	13	13	NUM
cana-1231	223	3	]	]	PUNCT
cana-1231	223	4	“	"	PUNCT
cana-1231	223	5	sutskever	sutskever	PROPN
cana-1231	223	6	,	,	PUNCT
cana-1231	223	7	i.	i.	PROPN
cana-1231	223	8	,	,	PUNCT
cana-1231	223	9	et	et	PROPN
cana-1231	223	10	al	al	PROPN
cana-1231	223	11	.	.	PUNCT
cana-1231	224	1	(	(	PUNCT
cana-1231	224	2	2014	2014	NUM
cana-1231	224	3	)	)	PUNCT
cana-1231	224	4	.	.	PUNCT
cana-1231	225	1	"	"	PUNCT
cana-1231	225	2	sequence	sequence	NOUN
cana-1231	225	3	to	to	ADP
cana-1231	225	4	sequence	sequence	NOUN
cana-1231	225	5	learning	learn	VERB
cana-1231	225	6	with	with	ADP
cana-1231	225	7	neural	neural	ADJ
cana-1231	225	8	networks	network	NOUN
cana-1231	225	9	.	.	PUNCT
cana-1231	225	10	"	"	PUNCT
cana-1231	226	1	advances	advance	NOUN
cana-1231	226	2	in	in	ADP
cana-1231	226	3	neural	neural	ADJ
cana-1231	226	4	information	information	NOUN
cana-1231	226	5	processing	processing	NOUN
cana-1231	226	6	systems	system	NOUN
cana-1231	226	7	(	(	PUNCT
cana-1231	226	8	neurips	neurip	NOUN
cana-1231	226	9	)	)	PUNCT
cana-1231	226	10	,	,	PUNCT
cana-1231	226	11	27	27	NUM
cana-1231	226	12	,	,	PUNCT
cana-1231	226	13	3104	3104	NUM
cana-1231	226	14	-	-	SYM
cana-1231	226	15	3112	3112	NUM
cana-1231	226	16	”	"	PUNCT
cana-1231	226	17	.	.	PUNCT
cana-1231	227	1	[	[	X
cana-1231	227	2	14	14	NUM
cana-1231	227	3	]	]	PUNCT
cana-1231	227	4	“	"	PUNCT
cana-1231	227	5	papernot	papernot	ADV
cana-1231	227	6	,	,	PUNCT
cana-1231	227	7	n.	n.	PROPN
cana-1231	227	8	,	,	PUNCT
cana-1231	227	9	et	et	PROPN
cana-1231	227	10	al	al	PROPN
cana-1231	227	11	.	.	PUNCT
cana-1231	227	12	(	(	PUNCT
cana-1231	227	13	2016	2016	NUM
cana-1231	227	14	)	)	PUNCT
cana-1231	227	15	.	.	PUNCT
cana-1231	228	1	"	"	PUNCT
cana-1231	228	2	distillation	distillation	NOUN
cana-1231	228	3	as	as	ADP
cana-1231	228	4	a	a	DET
cana-1231	228	5	defense	defense	NOUN
cana-1231	228	6	to	to	ADP
cana-1231	228	7	adversarial	adversarial	ADJ
cana-1231	228	8	perturbations	perturbation	NOUN
cana-1231	228	9	against	against	ADP
cana-1231	228	10	deep	deep	ADJ
cana-1231	228	11	neural	neural	ADJ
cana-1231	228	12	networks	network	NOUN
cana-1231	228	13	.	.	PUNCT
cana-1231	228	14	"	"	PUNCT
cana-1231	229	1	proceedings	proceeding	NOUN
cana-1231	229	2	of	of	ADP
cana-1231	229	3	the	the	DET
cana-1231	229	4	ieee	ieee	NOUN
cana-1231	229	5	symposium	symposium	NOUN
cana-1231	229	6	on	on	ADP
cana-1231	229	7	security	security	NOUN
cana-1231	229	8	and	and	CCONJ
cana-1231	229	9	privacy	privacy	NOUN
cana-1231	229	10	,	,	PUNCT
cana-1231	229	11	582	582	NUM
cana-1231	229	12	-	-	SYM
cana-1231	229	13	597	597	NUM
cana-1231	229	14	”	"	PUNCT
cana-1231	229	15	.	.	PUNCT
cana-1231	230	1	[	[	X
cana-1231	230	2	15	15	NUM
cana-1231	230	3	]	]	PUNCT
cana-1231	230	4	“	"	PUNCT
cana-1231	230	5	kurakin	kurakin	PROPN
cana-1231	230	6	,	,	PUNCT
cana-1231	230	7	a.	a.	PROPN
cana-1231	230	8	,	,	PUNCT
cana-1231	230	9	et	et	PROPN
cana-1231	230	10	al	al	PROPN
cana-1231	230	11	.	.	PUNCT
cana-1231	230	12	(	(	PUNCT
cana-1231	230	13	2017	2017	NUM
cana-1231	230	14	)	)	PUNCT
cana-1231	230	15	.	.	PUNCT
cana-1231	231	1	"	"	PUNCT
cana-1231	231	2	adversarial	adversarial	ADJ
cana-1231	231	3	examples	example	NOUN
cana-1231	231	4	in	in	ADP
cana-1231	231	5	the	the	DET
cana-1231	231	6	physical	physical	ADJ
cana-1231	231	7	world	world	NOUN
cana-1231	231	8	.	.	PUNCT
cana-1231	231	9	"	"	PUNCT
cana-1231	232	1	arxiv	arxiv	PROPN
cana-1231	232	2	preprint	preprint	VERB
cana-1231	232	3	arxiv:1607.02533	arxiv:1607.02533	PRON
cana-1231	232	4	”	"	PUNCT
cana-1231	232	5	.	.	PUNCT
cana-1231	233	1	[	[	X
cana-1231	233	2	16	16	NUM
cana-1231	233	3	]	]	PUNCT
cana-1231	233	4	“	"	PUNCT
cana-1231	233	5	tramer	tramer	NOUN
cana-1231	233	6	,	,	PUNCT
cana-1231	233	7	f.	f.	PROPN
cana-1231	233	8	,	,	PUNCT
cana-1231	233	9	et	et	PROPN
cana-1231	233	10	al	al	PROPN
cana-1231	233	11	.	.	PUNCT
cana-1231	233	12	(	(	PUNCT
cana-1231	233	13	2018	2018	NUM
cana-1231	233	14	)	)	PUNCT
cana-1231	233	15	.	.	PUNCT
cana-1231	234	1	"	"	PUNCT
cana-1231	234	2	ensemble	ensemble	ADJ
cana-1231	234	3	adversarial	adversarial	ADJ
cana-1231	234	4	training	training	NOUN
cana-1231	234	5	:	:	PUNCT
cana-1231	234	6	attacks	attack	NOUN
cana-1231	234	7	and	and	CCONJ
cana-1231	234	8	defenses	defense	NOUN
cana-1231	234	9	.	.	PUNCT
cana-1231	234	10	"	"	PUNCT
cana-1231	235	1	proceedings	proceeding	NOUN
cana-1231	235	2	of	of	ADP
cana-1231	235	3	the	the	DET
cana-1231	235	4	international	international	ADJ
cana-1231	235	5	conference	conference	NOUN
cana-1231	235	6	on	on	ADP
cana-1231	235	7	learning	learn	VERB
cana-1231	235	8	representations	representation	NOUN
cana-1231	235	9	(	(	PUNCT
cana-1231	235	10	iclr	iclr	NOUN
cana-1231	235	11	)	)	PUNCT
cana-1231	235	12	,	,	PUNCT
cana-1231	235	13	200	200	NUM
cana-1231	235	14	-	-	SYM
cana-1231	235	15	212	212	NUM
cana-1231	235	16	”	"	PUNCT
cana-1231	235	17	.	.	PUNCT
cana-1231	236	1	[	[	X
cana-1231	236	2	17	17	NUM
cana-1231	236	3	]	]	PUNCT
cana-1231	236	4	“	"	PUNCT
cana-1231	236	5	zhang	zhang	PROPN
cana-1231	236	6	,	,	PUNCT
cana-1231	236	7	c.	c.	PROPN
cana-1231	236	8	,	,	PUNCT
cana-1231	236	9	et	et	PROPN
cana-1231	236	10	al	al	PROPN
cana-1231	236	11	.	.	PROPN
cana-1231	236	12	(	(	PUNCT
cana-1231	236	13	2019	2019	NUM
cana-1231	236	14	)	)	PUNCT
cana-1231	236	15	.	.	PUNCT
cana-1231	237	1	"	"	PUNCT
cana-1231	237	2	theoretically	theoretically	ADV
cana-1231	237	3	principled	principle	VERB
cana-1231	237	4	trade	trade	NOUN
cana-1231	237	5	-	-	PUNCT
cana-1231	237	6	off	off	NOUN
cana-1231	237	7	between	between	ADP
cana-1231	237	8	robustness	robustness	NOUN
cana-1231	237	9	and	and	CCONJ
cana-1231	237	10	accuracy	accuracy	NOUN
cana-1231	237	11	.	.	PUNCT
cana-1231	237	12	"	"	PUNCT
cana-1231	238	1	proceedings	proceeding	NOUN
cana-1231	238	2	of	of	ADP
cana-1231	238	3	the	the	DET
cana-1231	238	4	international	international	ADJ
cana-1231	238	5	conference	conference	NOUN
cana-1231	238	6	on	on	ADP
cana-1231	238	7	machine	machine	NOUN
cana-1231	238	8	learning	learning	NOUN
cana-1231	238	9	(	(	PUNCT
cana-1231	238	10	icml	icml	PROPN
cana-1231	238	11	)	)	PUNCT
cana-1231	238	12	*	*	PUNCT
cana-1231	238	13	,	,	PUNCT
cana-1231	238	14	112	112	NUM
cana-1231	238	15	-	-	SYM
cana-1231	238	16	121	121	NUM
cana-1231	238	17	”	"	PUNCT
cana-1231	238	18	.	.	PUNCT
cana-1231	239	1	[	[	X
cana-1231	239	2	18	18	NUM
cana-1231	239	3	]	]	PUNCT
cana-1231	239	4	“	"	PUNCT
cana-1231	239	5	song	song	NOUN
cana-1231	239	6	,	,	PUNCT
cana-1231	239	7	c.	c.	PROPN
cana-1231	239	8	,	,	PUNCT
cana-1231	239	9	et	et	PROPN
cana-1231	239	10	al	al	PROPN
cana-1231	239	11	.	.	PUNCT
cana-1231	239	12	(	(	PUNCT
cana-1231	239	13	2018	2018	NUM
cana-1231	239	14	)	)	PUNCT
cana-1231	239	15	.	.	PUNCT
cana-1231	240	1	"	"	PUNCT
cana-1231	240	2	constructing	construct	VERB
cana-1231	240	3	unrestricted	unrestricted	ADJ
cana-1231	240	4	adversarial	adversarial	ADJ
cana-1231	240	5	examples	example	NOUN
cana-1231	240	6	with	with	ADP
cana-1231	240	7	generative	generative	ADJ
cana-1231	240	8	models	model	NOUN
cana-1231	240	9	.	.	PUNCT
cana-1231	240	10	"	"	PUNCT
cana-1231	241	1	advances	advance	NOUN
cana-1231	241	2	in	in	ADP
cana-1231	241	3	neural	neural	ADJ
cana-1231	241	4	information	information	NOUN
cana-1231	241	5	processing	processing	NOUN
cana-1231	241	6	systems	system	NOUN
cana-1231	241	7	(	(	PUNCT
cana-1231	241	8	neurips	neurip	NOUN
cana-1231	241	9	)	)	PUNCT
cana-1231	241	10	,	,	PUNCT
cana-1231	241	11	31	31	NUM
cana-1231	241	12	,	,	PUNCT
cana-1231	241	13	8322	8322	NUM
cana-1231	241	14	-	-	SYM
cana-1231	241	15	8333	8333	NUM
cana-1231	241	16	”	"	PUNCT
cana-1231	241	17	.	.	PUNCT
cana-1231	242	1	[	[	X
cana-1231	242	2	19	19	NUM
cana-1231	242	3	]	]	PUNCT
cana-1231	242	4	“	"	PUNCT
cana-1231	242	5	carlini	carlini	PROPN
cana-1231	242	6	,	,	PUNCT
cana-1231	242	7	n.	n.	NOUN
cana-1231	242	8	,	,	PUNCT
cana-1231	242	9	and	and	CCONJ
cana-1231	242	10	wagner	wagner	PROPN
cana-1231	242	11	,	,	PUNCT
cana-1231	242	12	d.	d.	PROPN
cana-1231	242	13	(	(	PUNCT
cana-1231	242	14	2017	2017	NUM
cana-1231	242	15	)	)	PUNCT
cana-1231	242	16	.	.	PUNCT
cana-1231	243	1	"	"	PUNCT
cana-1231	243	2	towards	towards	ADP
cana-1231	243	3	evaluating	evaluate	VERB
cana-1231	243	4	the	the	DET
cana-1231	243	5	robustness	robustness	NOUN
cana-1231	243	6	of	of	ADP
cana-1231	243	7	neural	neural	ADJ
cana-1231	243	8	networks	network	NOUN
cana-1231	243	9	.	.	PUNCT
cana-1231	243	10	"	"	PUNCT
cana-1231	243	11	proceedings	proceeding	NOUN
cana-1231	243	12	of	of	ADP
cana-1231	243	13	the	the	DET
cana-1231	243	14	ieee	ieee	NOUN
cana-1231	243	15	symposium	symposium	NOUN
cana-1231	243	16	on	on	ADP
cana-1231	243	17	security	security	NOUN
cana-1231	243	18	and	and	CCONJ
cana-1231	243	19	privacy	privacy	NOUN
cana-1231	243	20	,	,	PUNCT
cana-1231	243	21	39	39	NUM
cana-1231	243	22	-	-	SYM
cana-1231	243	23	57	57	NUM
cana-1231	243	24	”	"	PUNCT
cana-1231	243	25	.	.	PUNCT
cana-1231	244	1	[	[	X
cana-1231	244	2	20	20	NUM
cana-1231	244	3	]	]	PUNCT
cana-1231	244	4	“	"	PUNCT
cana-1231	244	5	wang	wang	PROPN
cana-1231	244	6	,	,	PUNCT
cana-1231	244	7	z.	z.	PROPN
cana-1231	244	8	,	,	PUNCT
cana-1231	244	9	et	et	PROPN
cana-1231	244	10	al	al	PROPN
cana-1231	244	11	.	.	PROPN
cana-1231	244	12	(	(	PUNCT
cana-1231	244	13	2019	2019	NUM
cana-1231	244	14	)	)	PUNCT
cana-1231	244	15	.	.	PUNCT
cana-1231	245	1	"	"	PUNCT
cana-1231	245	2	improving	improve	VERB
cana-1231	245	3	neural	neural	ADJ
cana-1231	245	4	language	language	NOUN
cana-1231	245	5	models	model	NOUN
cana-1231	245	6	with	with	ADP
cana-1231	245	7	adversarial	adversarial	ADJ
cana-1231	245	8	training	training	NOUN
cana-1231	245	9	.	.	PUNCT
cana-1231	245	10	"	"	PUNCT
cana-1231	245	11	proceedings	proceeding	NOUN
cana-1231	245	12	of	of	ADP
cana-1231	245	13	the	the	DET
cana-1231	245	14	annual	annual	ADJ
cana-1231	245	15	conference	conference	NOUN
cana-1231	245	16	of	of	ADP
cana-1231	245	17	the	the	DET
cana-1231	245	18	north	north	ADJ
cana-1231	245	19	american	american	ADJ
cana-1231	245	20	chapter	chapter	NOUN
cana-1231	245	21	of	of	ADP
cana-1231	245	22	the	the	DET
cana-1231	245	23	association	association	NOUN
cana-1231	245	24	for	for	ADP
cana-1231	245	25	computational	computational	ADJ
cana-1231	245	26	linguistics	linguistic	NOUN
cana-1231	245	27	(	(	PUNCT
cana-1231	245	28	naacl	naacl	PROPN
cana-1231	245	29	)	)	PUNCT
cana-1231	245	30	,	,	PUNCT
cana-1231	245	31	150	150	NUM
cana-1231	245	32	-	-	SYM
cana-1231	245	33	160	160	NUM
cana-1231	245	34	”	"	PUNCT
cana-1231	245	35	.	.	PUNCT