A Hybrid Model for Word Sense Disambiguation in English-Portuguese Machine Translation

We present the proposal for an approach to word sense disambiguation with application in machine translation from English to Brazilian Portuguese. This approach follows a hybrid natural language processing method, that is, a mixture of knowledge and corpus-based approaches. The main innovative feature is the formalism that we intend to use to represent the instances and the background knowledge. Opposed to other approaches to word sense disambiguation, which use restricted propositional formalisms, we will employ a relational one. As a consequence, we expect that the resultant system will overcome the limitations of the current work, effectively dealing with the lexical semantic ambiguity in machine translation.

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