Exploiting the translation context for multilingual WSD

Authors:
Lucia Specia;Maria das Graças Volpe Nunes
Affiliations:
Departamento de Ciências de Computaçao e Estatística, ICMC – Universidade de São Paulo, São Carlos, Brazil;Departamento de Ciências de Computaçao e Estatística, ICMC – Universidade de São Paulo, São Carlos, Brazil
Venue:
TSD'06 Proceedings of the 9th international conference on Text, Speech and Dialogue
Year:
2006

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Abstract

We propose a strategy to support Word Sense Disambiguation (WSD) which is designed specifically for multilingual applications, such as Machine Translation Co-occurrence information extracted from the translation context, i.e., the set of words which have already been translated, is used to define the order in which disambiguation rules produced by a machine learning algorithm are applied Experiments on the English-Portuguese translation of seven verbs yielded a significant improvement on the accuracy of a rule-based model: from 0.75 to 0.79.