A Statistical View on Bilingual Lexicon Extraction: From Parallel Corpora to Non-parallel Corpora
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ULA '02 Proceedings of the ACL-02 workshop on Unsupervised lexical acquisition - Volume 9
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COLING '04 Proceedings of the 20th international conference on Computational Linguistics
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ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
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TSD'11 Proceedings of the 14th international conference on Text, speech and dialogue
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EPIA'05 Proceedings of the 12th Portuguese conference on Progress in Artificial Intelligence
CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part II
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In this paper we present an approach to bootstrap a Croatian-Slovene bilingual lexicon from comparable news corpora from scratch, without relying on any external bilingual knowledge resource. Instead of using a dictionary to translate context vectors, we build a seed lexicon from identical words in both languages and extend it with context-based cognates and translation candidates of the most frequent words. By enlarging the seed dictionary for only 7% we were able to improve the baseline precision from 0.597 to 0.731 on the mean reciprocal rank for the ten top-ranking translation candidates with a 50.4% recall on the gold standard of 500 entries.