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Bilingual contexts from comparable corpora to mine for translations of collocations
Taslimipoor, Shiva Mitkov, Ruslan Corpas Pastor, Gloria Fazly, Afsaneh
Taslimipoor, Shiva
Mitkov, Ruslan
Corpas Pastor, Gloria
Fazly, Afsaneh
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2018-03-21
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Abstract
Due to the limited availability of parallel data in many languages, we propose a methodology that benefits from comparable corpora to find translation equivalents for collocations (as a specific type of difficult-to-translate multi-word expressions). Finding translations is known to be more difficult for collocations than for words. We propose a method based on bilingual context extraction and build a word (distributional) representation model drawing on these bilingual contexts (bilingual English-Spanish contexts in our case). We show that the bilingual context construction is effective for the task of translation equivalent learning and that our method outperforms a simplified distributional similarity baseline in finding translation equivalents.
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Conference contribution
Language
en
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Proceedings of the 17th International Conference on Intelligent Text Processing and Computational Linguistics, CICLing2016
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ISSN
0302-9743
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9783319754871