Context vector disambiguation for bilingual lexicon extraction from comparable corpora

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.
Document type :
Conference papers
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

Identifiers

  • HAL Id : cea-01844697, version 1

Collections

Citation

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⟩

Share

Metrics

Record views

48