Extracting Bilingual Dictionary from Comparable Corpora with Dependency Heterogeneity

This paper proposes an approach for bilingual dictionary extraction from comparable corpora. The proposed approach is based on the observation that a word and its translation share similar dependency relations. Experimental results using 250 randomly selected translation pairs prove that the proposed approach significantly outperforms the traditional context-based approach that uses bag-of-words around translation candidates.

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