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Hits 1 – 20 of 25
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
. - : Underline Science Inc., 2021
BASE
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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
;
Esplà-Gomis, Miquel
. - : Association for Computational Linguistics, 2021
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 attention to the source representations of the encoder. Experiments carried out on six low-resource translation tasks show consistent improvements over the baseline and over DA methods aiming at extending the support of the empirical data distribution. The systems trained with our approach rely more on the source tokens, are more robust against domain shift and suffer less hallucinations. ; Work funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement number 825299, project Global Under-Resourced Media Translation (GoURMET); and by Generalitat Valenciana through project GV/2021/064. The computational resources used for the experiments were funded by the European Regional Development Fund through project IDIFEDER/2020/003.
Keyword:
Data augmentation
;
Lenguajes y Sistemas Informáticos
;
Multi-task learning approach
;
Neural machine translation
URL:
https://doi.org/10.18653/v1/2021.emnlp-main.669
http://hdl.handle.net/10045/121939
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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
BASE
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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
New directions in empirical translation process research exploring the CRITT TPR-DB : Springer International Publishing, Switzerland, 2016, ISBN: 978-3-319-20357-7, v + 315 pp. [<Journal>]
Esplà-Gomis, Miquel
[Verfasser]
DNB Subject Category Language
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11
Serbian-English parallel corpus srenWaC 1.0
Ljubešić, Nikola
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Esplà-Gomis, Miquel
;
Ortiz Rojas, Sergio
. - : Jožef Stefan Institute, 2016
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12
Finnish-English parallel corpus fienWaC 1.0
Ljubešić, Nikola
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Esplà-Gomis, Miquel
;
Ortiz Rojas, Sergio
. - : Jožef Stefan Institute, 2016
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13
Tourism English-Croatian Parallel Corpus 2.0
Toral, Antonio
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Esplà-Gomis, Miquel
;
Klubička, Filip
. - : Abu-MaTran project, 2016
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14
Croatian-English parallel corpus hrenWaC 2.0
Ljubešić, Nikola
;
Esplà-Gomis, Miquel
;
Ortiz Rojas, Sergio
. - : Jožef Stefan Institute, 2016
BASE
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15
Slovene-English parallel corpus slenWaC 1.0
Ljubešić, Nikola
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Esplà-Gomis, Miquel
;
Ortiz Rojas, Sergio
. - : Jožef Stefan Institute, 2016
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16
Using external sources of bilingual information for word-level quality estimation in translation technologies
Esplà-Gomis, Miquel
. - : Universidad de Alicante, 2016
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17
Using Machine Translation to Provide Target-Language Edit Hints in Computer Aided Translation Based on Translation Memories
Esplà-Gomis, Miquel
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Sánchez-Martínez, Felipe
;
Forcada, Mikel L.
. - : AI Access Foundation, 2015
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18
Using external sources of bilingual information for on-the-fly word alignment ...
Esplà-Gomis, Miquel
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Sánchez-Martínez, Felipe
;
Forcada, Mikel L.
. - : arXiv, 2012
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19
Using external sources of bilingual information for on-the-fly word alignment
Esplà-Gomis, Miquel
;
Sánchez-Martínez, Felipe
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Forcada, Mikel L.
. - 2012
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20
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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