Word-Sense Disambiguation for Machine Translation
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چکیده
In word sense disambiguation, a system attempts to determine the sense of word from contextual features. Major barriers to building a highperforming word sense disambiguation system include the difficulty of labeling data for this task and of predicting fine-grained sense distinctions. In contrast, we can use parallel language corpora as a large supply of potential data. In this paper we present algorithms for solving the word translation problem and demonstrate a significant improvement over a baseline system. The predictions resulting from this system can then be used to inform a standard machine translation system.
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