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Clustering comparable corpora for bilingual lexicon extraction (2011).
| Content Provider | CiteSeerX |
|---|---|
| Author | Li, Bo Gaussier, Eric Aizawa, Akiko |
| Abstract | We study in this paper the problem of enhancing the comparability of bilingual corpora in order to improve the quality of bilingual lexicons extracted from comparable corpora. We introduce a clustering-based approach for enhancing corpus comparability which exploits the homogeneity feature of the corpus, and finally preserves most of the vocabulary of the original corpus. Our experiments illustrate the well-foundedness of this method and show that the bilingual lexicons obtained from the homogeneous corpus are of better quality than the lexicons obtained with previous approaches. 1 |
| File Format | |
| Publisher Date | 2011-01-01 |
| Access Restriction | Open |
| Subject Keyword | Comparable Corpus Bilingual Lexicon Extraction Bilingual Lexicon Original Corpus Clustering-based Approach Bilingual Corpus Previous Approach Homogeneous Corpus Corpus Comparability Homogeneity Feature |
| Content Type | Text |
| Resource Type | Article |