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This paper presents work on the task of constructing a word-level translation lexicon purely from unrelated monolingual corpora. We combine various clues such as cognates, similar context, preservation of word similarity, and word frequency. Experimental results for the construction of a German-English noun lexicon are reported. Noun translation accuracy of 39% scored against a parallel test corpus could be achieved.
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Koehn et al. (2002) studied this question.