Utilizing Contextually Relevant Terms in Bilingual Lexicon Extraction

Abstract

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 highest-ranked translation candidate per word is considered.