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Aligning through divergence
Acte de colloque   Open Access

Aligning through divergence

Johan Segura et Violaine Prince
SNLP-AOS'2011: Joint International Symposium on Natural Language Processing and Agricultural Ontology Service, Vol.1, pp.150-159
SNLP-AOS'2011: Joint International Symposium on Natural Language Processing and Agricultural Ontology Service (Phuket, Thailand, 15/02/2012–18/02/2012)
2012

Résumé

Natural Language Processing Machine Translation Rule -based systems examples memories
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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