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Sánchez-Cartagena, Víctor M. (19)
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Hits 1 – 20 of 21
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
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3
The Universitat d'Alacant submissions to the English-to-Kazakh news translation task at WMT 2019 ...
Sánchez-Cartagena, Víctor M.
;
Pérez-Ortiz, Juan Antonio
;
Sánchez-Martínez, Felipe
. - : Zenodo, 2019
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4
The Universitat d'Alacant submissions to the English-to-Kazakh news translation task at WMT 2019 ...
Sánchez-Cartagena, Víctor M.
;
Pérez-Ortiz, Juan Antonio
;
Sánchez-Martínez, Felipe
. - : Zenodo, 2019
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5
Quantitative Fine-Grained Human Evaluation of Machine Translation Systems: a Case Study on English to Croatian ...
Klubička, Filip
;
Toral, Antonio
;
Sánchez-Cartagena, Víctor M.
. - : arXiv, 2018
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6
Fine-grained human evaluation of neural versus phrase-based machine translation ...
Klubička, Filip
;
Toral, Antonio
;
Sánchez-Cartagena, Víctor M.
. - : arXiv, 2017
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7
A Multifaceted Evaluation of Neural versus Phrase-Based Machine Translation for 9 Language Directions ...
Toral, Antonio
;
Sánchez-Cartagena, Víctor M.
. - : arXiv, 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
Fine-Grained Human Evaluation of Neural Versus Phrase-Based Machine Translation
Klubička Filip
;
Toral Antonio
;
Sánchez-Cartagena Víctor M.
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
Sánchez-Cartagena, Víctor M.
;
Pérez-Ortiz, Juan Antonio
;
Sánchez-Martínez, Felipe
. - : AI Access Foundation, 2016
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11
RuLearn: an Open-source Toolkit for the Automatic Inference of Shallow-transfer Rules for Machine Translation
Pérez-Ortiz, Juan Antonio
;
Sánchez-Cartagena, Víctor M.
;
Sánchez-Martínez, Felipe
. - : De Gruyter, 2016
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12
RuLearn: an Open-source Toolkit for the Automatic Inference of Shallow-transfer Rules for Machine Translation
Sánchez-Cartagena Víctor M.
;
Pérez-Ortiz Juan Antonio
;
Sánchez-Martínez Felipe
In: Prague Bulletin of Mathematical Linguistics , Vol 106, Iss 1, Pp 193-204 (2016) (2016)
Abstract:
This paper presents ruLearn, an open-source toolkit for the automatic inference of rules for shallow-transfer machine translation from scarce parallel corpora and morphological dictionaries. ruLearn will make rule-based machine translation a very appealing alternative for under-resourced language pairs because it avoids the need for human experts to handcraft transfer rules and requires, in contrast to statistical machine translation, a small amount of parallel corpora (a few hundred parallel sentences proved to be sufficient). The inference algorithm implemented by ruLearn has been recently published by the same authors in Computer Speech & Language (volume 32). It is able to produce rules whose translation quality is similar to that obtained by using hand-crafted rules. ruLearn generates rules that are ready for their use in the Apertium platform, although they can be easily adapted to other platforms. When the rules produced by ruLearn are used together with a hybridisation strategy for integrating linguistic resources from shallow-transfer rule-based machine translation into phrase-based statistical machine translation (published by the same authors in Journal of Artificial Intelligence Research, volume 55), they help to mitigate data sparseness. This paper also shows how to use ruLearn and describes its implementation.
Keyword:
Computational linguistics. Natural language processing
;
P98-98.5
URL:
https://doaj.org/article/98d0d649c90f44769128720f137951c9
https://doi.org/10.1515/pralin-2016-0018
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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
Sánchez-Cartagena, Víctor M.
;
Pérez-Ortiz, Juan Antonio
;
Sánchez-Martínez, Felipe
. - : Elsevier, 2015
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14
An open-source toolkit for integrating shallow-transfer rules into phrase-based statistical machine translation
Sánchez-Cartagena, Víctor M.
;
Sánchez-Martínez, Felipe
;
Pérez-Ortiz, Juan Antonio
. - : CSLI Publications, 2012
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15
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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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
Sánchez-Cartagena, Víctor M.
;
Sánchez-Martínez, Felipe
;
Pérez-Ortiz, Juan Antonio
. - : Machine Translation Summit, 2011
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18
Enriching a statistical machine translation system trained on small parallel corpora with rule-based bilingual phrases
Sánchez-Cartagena, Víctor M.
;
Sánchez-Martínez, Felipe
;
Pérez-Ortiz, Juan Antonio
. - : RANLP, 2011
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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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