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Building an Ontology-Based Multilingual Lexicon for Word Sense Disambiguation in Machine Translation

Word sense disambiguation (WSD) requires the establishment of a list of the different meanings of words. WSD efforts in machine translation require, in addition, the equivalent translation words in target languages. To facilitate WSD in machine translation systems, we propose the construction of an ontology-based multilingual lexicon, from various existing language resources, as an alternative to existing hierarchical lexicons such as WordNet and Roget’s Thesaurus. Apart from providing equivalent words from different languages, the lexicon will be used to extend a WSD algorithm that calculates lexical conceptual distance data. The information in the lexicon to be constructed can also be used for other natural language processing tasks.