Explanation-based Learning for Machine Translation

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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.

Janine Toole, Fred Popowich, Devlan Nicholson, Dav

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CORR 1999 | Education | Parsing Module | Real-time English-spanish Machine | Time Efficiency |

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Added	22 Dec 2010
Updated	22 Dec 2010
Type	Journal
Year	1999
Where	CORR
Authors	Janine Toole, Fred Popowich, Devlan Nicholson, Davide Turcato, Paul McFetridge

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Explanation-based Learning for Machine Translation

CORR 1999 | Education | Parsing Module | Real-time English-spanish Machine | Time Efficiency |

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