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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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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
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The Universitat d'Alacant submissions to the English-to-Kazakh news translation task at WMT 2019 ...
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The Universitat d'Alacant submissions to the English-to-Kazakh news translation task at WMT 2019 ...
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Quantitative Fine-Grained Human Evaluation of Machine Translation Systems: a Case Study on English to Croatian ...
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Fine-grained human evaluation of neural versus phrase-based machine translation ...
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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
Fine-Grained Human Evaluation of Neural Versus Phrase-Based Machine Translation
In: Prague Bulletin of Mathematical Linguistics , Vol 108, Iss 1, Pp 121-132 (2017) (2017)
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10
Integrating Rules and Dictionaries from Shallow-Transfer Machine Translation into Phrase-Based Statistical Machine Translation
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11
RuLearn: an Open-source Toolkit for the Automatic Inference of Shallow-transfer Rules for Machine Translation
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12
RuLearn: an Open-source Toolkit for the Automatic Inference of Shallow-transfer Rules for Machine Translation
In: Prague Bulletin of Mathematical Linguistics , Vol 106, Iss 1, Pp 193-204 (2016) (2016)
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13
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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14
An open-source toolkit for integrating shallow-transfer rules into phrase-based statistical machine translation
Abstract: In this paper, we present an open-source toolkit to enrich a phrase-based statistical machine translation system (Moses) with phrase pairs generated from the linguistic resources of a shallow-transfer rule-based machine translation system (Apertium). A system built with this toolkit was not outperformed by any other participant in the shared translation task of the Sixth Workshop on Statistical Machine Translation (WMT 11) for the Spanish–English language pair. ; This work has been partially funded by Spanish Ministerio de Ciencia e Innovación through project TIN2009-14009-C02-01, by Generalitat Valenciana through grant ACIF/2010/174 from VALi+d programme, and by Universitat d’Alacant through project GRE11-20.
Keyword: Lenguajes y Sistemas Informáticos; Machine translation; Open-source; Rule-based; Shallow-transfer; Statistical machine translation system
URL: http://hdl.handle.net/10045/27583
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15
Choosing the correct paradigm for unknown words in rule-based machine translation systems
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16
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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17
Integrating shallow-transfer rules into phrase-based statistical machine translation
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18
Enriching a statistical machine translation system trained on small parallel corpora with rule-based bilingual phrases
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19
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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20
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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