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Sánchez-Martínez, Felipe (9)
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Hits 1 – 9 of 9
1
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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2
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
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. ; Research funded by the Spanish Ministry of Economy and Competitiveness through projects TIN2009-14009-C02-01 and TIN2012-32615, by Generalitat Valenciana through grant ACIF/2010/174, and by the European Union Seventh Framework Programme FP7/2007-2013 under grant agreement PIAP-GA-2012-324414 (Abu-MaTran).
Keyword:
Automatic inference
;
Lenguajes y Sistemas Informáticos
;
Machine translation
;
ruLearn
;
Shallow-transfer rules
URL:
http://hdl.handle.net/10045/60039
https://doi.org/10.1515/pralin-2016-0018
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3
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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4
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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5
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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6
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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7
Inferring shallow-transfer machine translation rules from small parallel corpora
Sánchez-Martínez, Felipe
;
Forcada, Mikel L.
. - : AI Access Foundation, 2008
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8
An open-source shallow-transfer machine translation toolbox: consequences of its release and availability
Armentano Oller, Carme
;
Corbí Bellot, Antonio Miguel
;
Forcada, Mikel L.
. - : OSMaTran, 2005
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9
An open-source shallow-transfer machine translation engine for the Romance languages of Spain
Corbí Bellot, Antonio Miguel
;
Forcada, Mikel L.
;
Ortiz Rojas, Sergio
. - : European Association for Machine Translation, 2005
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