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In the framework of bilingual lexicon acquisition from cross-lingually relevant news articles on the Web, it is relatively harder to reliably estimate bilingual term correspondences for low frequency terms. Considering such a situation, this paper proposes to complementarily use much larger monolingual Web documents collected by search engines, as a resource for reliably re-estimating bilingual term correspondences. We experimentally show that, using a sufficient number of monolingual Web documents, it is quite possible to have reliable estimate of bilingual term correspondences for those low frequency terms.

Integrating cross-lingually relevant news articles and monolingual web documents in bilingual lexicon acquisition