Mining a comparable text corpus for a Vietnamese - French statistical machine translation system

Thi-Ngoc-Diep Do (1) , Viet-Bac Le (1) , Brigitte Bigi (1) , Laurent Besacier (1) , Eric Castelli (2)

1 CLIPS - IMAG - Communication Langagière et Interaction Personne-Système
2 MICA - International Research Institute MICA

This paper presents our first attempt at constructing a Vietnamese-French statistical machine translation system. Since Vietnam-ese is an under-resourced language, we concentrate on building a large Vietnamese-French parallel corpus. A document alignment method based on publication date, special words and sentence alignment result is proposed. The paper also presents an application of the obtained parallel corpus to the construction of a Vietnamese-French statistical machine translation system, where the use of different units for Vietnamese (syllables , words, or their combinations) is discussed .

Mots clés: translation

Domaines: Informatique et langage [cs.CL]; Sciences de l'information et de la communication

Thi-Ngoc-Diep Do, Viet-Bac Le, Brigitte Bigi, Laurent Besacier, Eric Castelli. Mining a comparable text corpus for a Vietnamese - French statistical machine translation system. Fourth Workshop on Statistical Machine Translation, 2009, Athens, Greece. pp.165 - 172, ⟨10.3115/1626431.1626466⟩. ⟨hal-01393602⟩