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Communication Dans Un Congrès Année : 2014

Looking at Unbalanced Specialized Comparable Corpora for Bilingual Lexicon Extraction

Résumé

The main work in bilingual lexicon extraction from comparable corpora is based on the implicit hypothesis that corpora are balanced. However, the historical context-based projection method dedicated to this task is relatively insensitive to the sizes of each part of the comparable corpus. Within this context, we have carried out a study on the influence of unbalanced specialized comparable corpora on the quality of bilingual terminology extraction through different experiments. Moreover, we have introduced a regression model that boosts the observations of word co-occurrences used in the context-based projection method. Our results show that the use of unbalanced specialized comparable corpora induces a significant gain in the quality of extracted lexicons.
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Dates et versions

hal-01097565 , version 1 (19-12-2014)

Identifiants

  • HAL Id : hal-01097565 , version 1

Citer

Emmanuel Morin, Amir Hazem. Looking at Unbalanced Specialized Comparable Corpora for Bilingual Lexicon Extraction. Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL), Jun 2014, Baltimore, United States. pp.1284-1293. ⟨hal-01097565⟩
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