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An open-source toolkit for integrating shallow-transfer rules into phrase-based statistical machine translation
Abstract: In this paper, we present an open-source toolkit to enrich a phrase-based statistical machine translation system (Moses) with phrase pairs generated from the linguistic resources of a shallow-transfer rule-based machine translation system (Apertium). A system built with this toolkit was not outperformed by any other participant in the shared translation task of the Sixth Workshop on Statistical Machine Translation (WMT 11) for the Spanish–English language pair. ; This work has been partially funded by Spanish Ministerio de Ciencia e Innovación through project TIN2009-14009-C02-01, by Generalitat Valenciana through grant ACIF/2010/174 from VALi+d programme, and by Universitat d’Alacant through project GRE11-20.
Keyword: Lenguajes y Sistemas Informáticos; Machine translation; Open-source; Rule-based; Shallow-transfer; Statistical machine translation system
URL: http://hdl.handle.net/10045/27583
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Choosing the correct paradigm for unknown words in rule-based machine translation systems
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