Our approach takes the advantage of the increasing amount of parallel corpora in combination with wordnets in languages other than English for sense disambiguation, which will help us to improve automatic translations of English WordNet entries.
we assume that we have a multilingual parallel corpus consisting of sentences, x l i in a language l, grouped into parallel translations: we also assume that we have a collection of wordnets consisting of a set of senses, w l ij , grouped into synsets, for each language: we say that a context x l 0 i , in language l 0 (in our case this is always English), is disambiguated in n languages for a word w l 0 jk if: a context is disambiguated in n languages for a word, if for each of its translations we have a context in the parallel corpus that contains one of the known synset translations.