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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search 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 BASE Show details 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 BASE Show details 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 BASE Show details 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 BASE Show details 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 BASE Show details 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 BASE Show details 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 BASE Hide details 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 BASE Show details 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 BASE Show details

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