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

In the framework of bilingual lexicon acquisition from cross-lingually relevant news articles on the Web, it is relatively harder to reliably estimate bilin-gual 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 correspon-dences. We experimentally show that, using a suf-ficient number of monolingual Web documents, it is quite possible to have reliable estimate of bilin-gual term correspondences for those low frequency terms.