Explanation-based Learning for Machine Translation
classification
💻 cs.CL
keywords
coverageefficiencyexplanation-basedlearningmachinetranslationapplicationapproach
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In this paper we present an application of explanation-based learning (EBL) in the parsing module of a real-time English-Spanish machine translation system designed to translate closed captions. We discuss the efficiency/coverage trade-offs available in EBL and introduce the techniques we use to increase coverage while maintaining a high level of space and time efficiency. Our performance results indicate that this approach is effective.
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