Exploiting unbalanced specialized comparable corpora for bilingual lexicon extraction†. (15th June 2016)

• Record Type: Journal Article
• Authors: MORIN, EMMANUEL; HAZEM, AMIR
• Editors: Rapp, Reinhard; Sharoff, Serge; Zweigenbaum, Pierre
• Is Part Of: Natural language engineering. Volume 22:Part 4(2016)
• Page Start: 575
• Page End: 601
• Publication Date: 2016-06-15
• Subjects: Natural language processing (Computer science) -- Periodicals; Software engineering -- Periodicals; 006.35
• DOI: 10.1017/S1351324916000140
• Languages: English
• ISSNs: 1351-3249

Abstract

Abstract: The main work in bilingual lexicon extraction from comparable corpora is based on the implicit hypothesis that corpora are balanced in terms of size. However, the historical context-based projection method is relatively insensitive to the size of each part of the comparable corpus. Within this context, we have carried out a study on the influence of unbalanced specialized comparable corpora and on the quality of bilingual terminology extraction by doing different experiments. Moreover, we have introduced a strategy into the context-based projection method to re-estimate word co-occurrence observations. This is done by using smoothing or prediction techniques that boost the observations of word co-occurrences which are mainly useful for the smallest part of an unbalanced comparable corpus. Our results show that the use of unbalanced specialized comparable corpora results in a significant improvement in the quality of extracted lexicons.