Utilizing Contextually Relevant Terms in Bilingual Lexicon Extraction

نویسندگان

  • Azniah Ismail
  • Suresh Manandhar
چکیده

This paper demonstrates one efficient technique in extracting bilingual word pairs from non-parallel but comparable corpora. Instead of using the common approach of taking high frequency words to build up the initial bilingual lexicon, we show contextually relevant terms that co-occur with cognate pairs can be efficiently utilized to build a bilingual dictionary. The result shows that our models using this technique have significant improvement over baseline models especially when highestranked translation candidate per word is considered.

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تاریخ انتشار 2009