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1
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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2
Understanding the effects of word-level linguistic annotations in under-resourced neural machine translation
Sánchez-Cartagena, Víctor M.; Pérez-Ortiz, Juan Antonio; Sánchez-Martínez, Felipe. - : Association for Computational Linguistics, 2020
Abstract: This paper studies the effects of word-level linguistic annotations in under-resourced neural machine translation, for which there is incomplete evidence in the literature. The study covers eight language pairs, different training corpus sizes, two architectures and three types of annotation: dummy tags (with no linguistic information at all), part-of-speech tags, and morpho-syntactic description tags, which consist of part of speech and morphological features. These linguistic annotations are interleaved in the input or output streams as a single tag placed before each word. In order to measure the performance under each scenario, we use automatic evaluation metrics and perform automatic error classification. Our experiments show that, in general, source-language annotations are helpful and morpho-syntactic descriptions outperform part of speech for some language pairs. On the contrary, when words are annotated in the target language, part-of-speech tags systematically outperform morpho-syntactic description tags in terms of automatic evaluation metrics, even though the use of morpho-syntactic description tags improves the grammaticality of the output. We provide a detailed analysis of the reasons behind this result. ; 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).
Keyword: Lenguajes y Sistemas Informáticos; Neural machine translation; Under-resourced; Word-level linguistic annotations
URL: http://hdl.handle.net/10045/110739
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3
The Universitat d'Alacant submissions to the English-to-Kazakh news translation task at WMT 2019 ...
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4
The Universitat d'Alacant submissions to the English-to-Kazakh news translation task at WMT 2019 ...
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5
Quantitative Fine-Grained Human Evaluation of Machine Translation Systems: a Case Study on English to Croatian ...
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6
Fine-grained human evaluation of neural versus phrase-based machine translation ...
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7
A Multifaceted Evaluation of Neural versus Phrase-Based Machine Translation for 9 Language Directions ...
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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
Integrating Rules and Dictionaries from Shallow-Transfer Machine Translation into Phrase-Based Statistical Machine Translation
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10
RuLearn: an Open-source Toolkit for the Automatic Inference of Shallow-transfer Rules for Machine Translation
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11
A generalised alignment template formalism and its application to the inference of shallow-transfer machine translation rules from scarce bilingual corpora
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12
An open-source toolkit for integrating shallow-transfer rules into phrase-based statistical machine translation
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13
Choosing the correct paradigm for unknown words in rule-based machine translation systems
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14
The Universitat d’Alacant hybrid machine translation system for WMT 2011
Sánchez-Cartagena, Víctor M.; Sánchez-Martínez, Felipe; Pérez-Ortiz, Juan Antonio. - : Association for Computational Linguistics, 2011
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15
Integrating shallow-transfer rules into phrase-based statistical machine translation
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16
Enriching a statistical machine translation system trained on small parallel corpora with rule-based bilingual phrases
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17
A Widely Used Machine Translation Service and its Migration to a Free/Open-Source Solution : the Case of Softcatalà
Sánchez-Cartagena, Víctor M.; Ivars-Ribes, Xavier. - : Universitat Oberta de Catalunya, 2011
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18
ScaleMT: a free/open-source framework for building scalable machine translation web services
Sánchez-Cartagena, Víctor M.; Pérez-Ortiz, Juan Antonio. - : Charles University in Prague. Institute of Formal and Applied Linguistics, 2009. : Versita, 2009
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19
Tradubi: open-source social translation for the Apertium machine translation platform
Sánchez-Cartagena, Víctor M.; Pérez-Ortiz, Juan Antonio. - : Charles University in Prague. Institute of Formal and Applied Linguistics, 2009. : Versita, 2009
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