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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
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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
Abstract:
This paper describes a method for the automatic inference of structural transfer rules to be used in a shallow-transfer machine translation (MT) system from small parallel corpora. The structural transfer rules are based on alignment templates, like those used in statistical MT. Alignment templates are extracted from sentence-aligned parallel corpora and extended with a set of restrictions which are derived from the bilingual dictionary of the MT system and control their application as transfer rules. The experiments conducted using three different language pairs in the free/open-source MT platform Apertium show that translation quality is improved as compared to word-for-word translation (when no transfer rules are used), and that the resulting translation quality is close to that obtained using hand-coded transfer rules. The method we present is entirely unsupervised and benefits from information in the rest of modules of the MT system in which the inferred rules are applied. ; Work funded by the Spanish Ministry of Education and Science and the European Social Fund through research grant BES-2004-4711, by the Spanish Ministry of Industry, Tourism and Commerce through projects TIC2003-08681-C02-01, FIT340101-2004-3 and FIT-350401-2006-5, and by the Spanish Ministry of Education and Science through project TIN2006-15071-C03-01.
Keyword:
Apertium
;
Lenguajes y Sistemas Informáticos
;
Machine translation
;
Parallel corpora
;
Rule based
;
Transfer rules
URL:
https://doi.org/10.1613/jair.2735
http://hdl.handle.net/10045/14011
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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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