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Aligning through divergence

Johan Segura 1 Violaine Prince 1
1 TEXTE - Exploration et exploitation de données textuelles
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : This document presents a bilingual phrase-based alignment method handling syntactic constituents (sub-sentential components) of parallel sentences. The method rely on an asymmetrical parsing of both languages: Light part-of-speech tagging for the target language, syntactic tree building for the 'source' language and the complexity of each is studied. The models and methods can be seen as a subclass of Example Based Machine Translation.
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00839340
Contributor : Violaine Prince-Barbier <>
Submitted on : Thursday, June 27, 2013 - 5:53:05 PM
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Johan Segura, Violaine Prince. Aligning through divergence. SNLP-AOS'2011: Joint International Symposium on Natural Language Processing and Agricultural Ontology Service, Feb 2012, Phuket, Thailand. pp.150-159. ⟨lirmm-00839340⟩

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