M.: Translation Context Sensitive WSD (2006)
| Venue: | the 11th Annual Conference of the European Association for Machine Translation |
| Citations: | 1 - 1 self |
BibTeX
@INPROCEEDINGS{Specia06m.:translation,
author = {Lucia Specia and Maria Graças and Volpe Nunes and Mark Stevenson},
title = {M.: Translation Context Sensitive WSD},
booktitle = {the 11th Annual Conference of the European Association for Machine Translation},
year = {2006}
}
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Abstract
While it is generally agreed that Word Sense Disambiguation (WSD) is an application-dependent task, the great majority of systems pursue application-independent approaches. We propose a strategy to support WSD for Machine Translation which is designed specifically for this application. It relies on the analysis of co-occurrences in the context that refer to words which have already been translated. Experiments on the English-Portuguese translation of 10 verbs using just this knowledge yielded an accuracy of 51%, which outperforms the baseline using the most frequent translation (37%). A less strict evaluation criterion considering the 10 best ranked translations proved the potential for this approach to be used as extra knowledge source for WSD: the correct translation was among the top 10 results in 92% of the cases. 1.
