Improving Bilingual Lexicon Extraction Performance from Comparable Corpora via Optimizing Translation Candidate Lists
نویسندگان
چکیده
In this paper, we propose a novel method to optimize translation candidate lists derived from window-based approach for the task of bilingual lexicon extraction. The optimizing process consists of two cross-comparisons between 1 translation candidate of each target word, and between set of all the 1 candidates and that of each word’s 2 to N ones. Experiment results demonstrate that the proposed method leads to a significant improvement on accuracy over window-based approach in bilingual lexicon extraction from both English-Chinese and Chinese-English comparable corpora.
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