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Conference Papers Year : 2012

Aligning through divergence

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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Dates and versions

lirmm-00839340 , version 1 (27-06-2013)

Identifiers

  • HAL Id : lirmm-00839340 , version 1

Cite

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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