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.

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