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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 – 10 of 10 1 GPLSI team at CheckThat! 2021: Fine-tuning BETO and RoBERTa Sepúlveda-Torres, Robiert; Saquete Boró, Estela. - : CEUR, 2021 BASE Show details 2 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 3 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 4 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 5 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 6 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 Abstract: This paper describes the machine translation (MT) system developed by the Transducens Research Group, from Universitat d’Alacant, Spain, for the WMT 2011 shared translation task. We submitted a hybrid system for the Spanish–English language pair consisting of a phrase-based statistical MT system whose phrase table was enriched with bilingual phrase pairs matching transfer rules and dictionary entries from the Apertium shallow-transfer rule-based MT platform. Our hybrid system outperforms, in terms of BLEU, GTM and METEOR, a standard phrase-based statistical MT system trained on the same corpus, and received the second best BLEU score in the automatic evaluation. ; Work funded by the Spanish Ministry of Science and Innovation through project TIN2009-14009-C02-01 and by Generalitat Valenciana through grant ACIF/2010/174 (VALi+d programme). Keyword: Lenguajes y Sistemas Informáticos; Machine translation; Phrase-based; Shallow-transfer; Statistical machine translation system; WMT 2011 URL: http://hdl.handle.net/10045/27576 BASE Hide details 7 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 8 Inferring shallow-transfer machine translation rules from small parallel corpora Sánchez-Martínez, Felipe; Forcada, Mikel L.. - : AI Access Foundation, 2008 BASE Show details 9 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 10 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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