Context vector disambiguation for bilingual lexicon extraction from comparable corpora

D. Bouamor; N. Semmar; P. Zweigenbaum

Context vector disambiguation for bilingual lexicon extraction from comparable corpora

D. Bouamor ¹ N. Semmar ¹ P. Zweigenbaum ²

1 DIASI - Département Intelligence Ambiante et Systèmes Interactifs

2 LIMSI - Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur

Abstract : This paper presents an approach that extends the standard approach used for bilingual lexicon extraction from comparable corpora. We focus on the unresolved problem of polysemous words revealed by the bilingual dictionary and introduce a use of a Word Sense Disambiguation process that aims at improving the adequacy of context vectors. On two specialized French-English comparable corpora, empirical experimental results show that our method improves the results obtained by two state-of-The-art approaches.

Keywords : State-of-the-art approach Word Sense Disambiguation Extraction Polysemous word French-english Context vector Comparable corpora Bilingual lexicon extractions Bilingual dictionary Computational linguistics

Document type :

Conference papers

Domain :

Computer Science [cs]

Complete list of metadatas

https://hal-cea.archives-ouvertes.fr/cea-01844697
Contributor : Léna Le Roy <>
Submitted on : Thursday, July 19, 2018 - 3:57:32 PM
Last modification on : Saturday, May 4, 2019 - 1:21:09 AM

Context vector disambiguation for bilingual lexicon extraction from comparable corpora

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Context vector disambiguation for bilingual lexicon extraction from comparable corpora

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