Multilingual Word Sense Disambiguation Using Aligned Wordnets

Abstract. Word Sense Disambiguation (WSD from now on) represents an established task within Natural Language Processing community, aiming at finding the right sense of a word occurring in a free running text through the use of a computer algorithm. Currently, most of the WSD approaches consider only monolingual texts, and, as such, they rely mainly on the discriminatory power of the words appearing in the same context with the targeted words (the words to be disambiguated). We propose a more precise WSD method, based on parallel texts, and relying on interlingually aligned wordnets. The method exploits recent advances in translation equivalents extractions and word alignment. 1