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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 : Computational linguistics Bilingual dictionary Bilingual lexicon extractions Comparable corpora Context vector French-english Polysemous word State-of-the-art approach Word Sense Disambiguation Extraction
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Conference papers
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https://hal-cea.archives-ouvertes.fr/cea-01844697
Contributor : Léna Le Roy Connect in order to contact the contributor
Submitted on : Thursday, July 19, 2018 - 3:57:32 PM
Last modification on : Sunday, June 26, 2022 - 12:09:45 PM

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  • HAL Id : cea-01844697, version 1

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D. Bouamor, N. Semmar, P. Zweigenbaum. Context vector disambiguation for bilingual lexicon extraction from comparable corpora. 51st Annual Meeting of the Association for Computational Linguistics, ACL 2013, Aug 2013, Sofia, Bulgaria. pp.759-764. ⟨cea-01844697⟩

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