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1	Rethinking Data Augmentation for Low-Resource Neural Machine Translation: A Multi-Task Learning Approach ...
	The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Esplà-Gomis, Miquel; Pérez-Ortiz, Juan Antonio; Sánchez Cartagena, Víctor Manuel; Sánchez-Martínez, Felipe. - : Underline Science Inc., 2021
	Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.669/ Abstract: In the context of neural machine translation, data augmentation (DA) techniques may be used for generating additional training samples when the available parallel data are scarce. Many DA approaches aim at expanding the support of the empirical data distribution by generating new sentence pairs that contain infrequent words, thus making it closer to the true data distribution of parallel sentences. In this paper, we propose to follow a completely different approach and present a multi-task DA approach in which we generate new sentence pairs with transformations, such as reversing the order of the target sentence, which produce unfluent target sentences. During training, these augmented sentences are used as auxiliary tasks in a multi-task framework with the aim of providing new contexts where the target prefix is not informative enough to predict the next word. This strengthens the encoder and forces the decoder to pay more ...
	Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Machine translation; Natural Language Processing
	URL: https://underline.io/lecture/37747-rethinking-data-augmentation-for-low-resource-neural-machine-translation-a-multi-task-learning-approach https://dx.doi.org/10.48448/wkq6-2f54
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2	Rethinking Data Augmentation for Low-Resource Neural Machine Translation: A Multi-Task Learning Approach
	Sánchez-Cartagena, Víctor M.; Sánchez-Martínez, Felipe; Pérez-Ortiz, Juan Antonio. - : Association for Computational Linguistics, 2021
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3	Presentació del monogràfic «Spoken Corpus Linguistics in Romance: thoughts, design and results» ; Presentation of the monograph «Spoken Corpus Linguistics in Romance: thoughts, design and results»
	Esplà-Gomis, Miquel; Sentí, Andreu
	In: Caplletra. Revista Internacional de Filologia.; Caplletra 69 (tardor 2020); 117-123 ; Caplletra. Revista Internacional de Filologia; Caplletra 69 (tardor 2020); 117-123 ; 2386-7159 ; 0214-8188 (2020)
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4	Reading comprehension of machine translation output: what makes for a better read?
	Castilho, Sheila; Guerberof Arenas, Ana
	In: Castilho, Sheila orcid:0000-0002-8416-6555 and Guerberof Arenas, Ana orcid:0000-0001-9820-7074 (2018) Reading comprehension of machine translation output: what makes for a better read? In: 21st Annual Conference of the European for Machine Translation, 28-30 May 2018, Alacant/Alicante, Spain. ISBN 978-84-09-01901-4 (2018)
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5	ParaCrawl Corpus version 1.0
	Koehn, Philipp; Heafield, Kenneth; Forcada, Mikel L.. - : ParaCrawl, 2018
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6	Predicting insertion positions in word-level machine translation quality estimation
	Esplà-Gomis, Miquel; Sánchez-Martínez, Felipe; Forcada, Mikel L.. - : Elsevier, 2018
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7	Towards Optimizing MT for Post-Editing Effort: Can BLEU Still Be Useful?
	Forcada, Mikel L.; Sánchez-Martínez, Felipe; Esplà-Gomis, Miquel. - : De Gruyter, 2017
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8	Assisting non-expert speakers of under-resourced languages in assigning stems and inflectional paradigms to new word entries of morphological dictionaries
	Forcada, Mikel L.; Carrasco, Rafael C.; Pérez-Ortiz, Juan Antonio. - : Springer Science+Business Media Dordrecht, 2017
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9	Towards Optimizing MT for Post-Editing Effort: Can BLEU Still Be Useful?
	Forcada Mikel L.; Sánchez-Martínez Felipe; Esplà-Gomis Miquel...
	In: Prague Bulletin of Mathematical Linguistics , Vol 108, Iss 1, Pp 183-195 (2017) (2017)
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10	Serbian-English parallel corpus srenWaC 1.0
	Ljubešić, Nikola; Esplà-Gomis, Miquel; Ortiz Rojas, Sergio. - : Jožef Stefan Institute, 2016
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11	Finnish-English parallel corpus fienWaC 1.0
	Ljubešić, Nikola; Esplà-Gomis, Miquel; Ortiz Rojas, Sergio. - : Jožef Stefan Institute, 2016
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12	Tourism English-Croatian Parallel Corpus 2.0
	Toral, Antonio; Esplà-Gomis, Miquel; Klubička, Filip. - : Abu-MaTran project, 2016
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13	Croatian-English parallel corpus hrenWaC 2.0
	Ljubešić, Nikola; Esplà-Gomis, Miquel; Ortiz Rojas, Sergio. - : Jožef Stefan Institute, 2016
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14	Slovene-English parallel corpus slenWaC 1.0
	Ljubešić, Nikola; Esplà-Gomis, Miquel; Ortiz Rojas, Sergio. - : Jožef Stefan Institute, 2016
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15	Using Machine Translation to Provide Target-Language Edit Hints in Computer Aided Translation Based on Translation Memories
	Esplà-Gomis, Miquel; Sánchez-Martínez, Felipe; Forcada, Mikel L.. - : AI Access Foundation, 2015
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16	A simple approach to use bilingual information sources for word alignment ; Una manera sencilla para usar fuentes de información bilingüe para el alineamiento de palabras
	Esplà-Gomis, Miquel; Sánchez-Martínez, Felipe; Forcada, Mikel L.. - : Sociedad Española para el Procesamiento del Lenguaje Natural, 2012
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17	UAlacant: using online machine translation for cross-lingual textual entailment
	Esplà-Gomis, Miquel; Sánchez-Martínez, Felipe; Forcada, Mikel L.. - : Association for Computational Linguistics, 2012
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18	Choosing the correct paradigm for unknown words in rule-based machine translation systems
	Sánchez-Cartagena, Víctor M.; Esplà-Gomis, Miquel; Sánchez-Martínez, Felipe. - : CSLI Publications, 2012
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19	Combining content-based and URL-based heuristics to harvest aligned bitexts from multilingual sites with Bitextor
	Esplà-Gomis, Miquel; Forcada, Mikel L.
	In: The Prague bulletin of mathematical linguistics. - Praha : Univ. (2010) 93, 77-86
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20	Combining content-based and URL-based heuristics to harvest aligned bitexts from multilingual sites with Bitextor
	Esplà-Gomis, Miquel; Forcada, Mikel L.. - : Charles University in Prague. Institute of Formal and Applied Linguistics, 2009. : Versita, 2009
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