Word Co-occurrence Counts Prediction for Bilingual Terminology Extraction from Comparable Corpora. - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2013

Word Co-occurrence Counts Prediction for Bilingual Terminology Extraction from Comparable Corpora.

Résumé

Methods dealing with bilingual lexicon extraction from comparable corpora are often based on word co-occurrence observation and are by essence more effective when using large corpora. In most cases, specialized comparable corpora are of small size, and this particularity has a direct impact on bilingual terminology extraction results. In order to overcome insufficient data coverage and to make word co-occurrence statistics more reliable, we propose building a predictive model of word co-occurrence counts. We compare different predicting models with the traditional Standard Approach and show that once we have identified the best procedures, our method increases significantly the performance of extracting word translations from comparable corpora.
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Dates et versions

hal-00949198 , version 1 (19-02-2014)

Identifiants

  • HAL Id : hal-00949198 , version 1

Citer

Amir Hazem, Emmanuel Morin. Word Co-occurrence Counts Prediction for Bilingual Terminology Extraction from Comparable Corpora.. 6th International Joint Conference on Natural Language Processing. IJCNLP 2013., Oct 2013, Nagoya, Japan. pp.12. ⟨hal-00949198⟩
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