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Rapid development of machine translation for low density languages

Rapid development of machine translation for low density languages. New Ideas Use machine learning to learn translation rules from native speakers who are not trained in linguistics or computer science.

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Rapid development of machine translation for low density languages

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  1. Rapid development of machine translation for low density languages • New Ideas • Use machine learning to learn translation rules from native speakers who are not trained in linguistics or computer science. • Multi-Engine translation architecture can flexibly take advantage of whatever resources are available. • Seeded version spaces for learning MT in data-poor situations. Interface for data elicitation • Impact • Rapid and low-cost development of machine translation for languages with scarce resources. • OMNIVOROUS MT (from scarce parallel corpora or indigenous informants). • Responsive to rapidly changing intelligence needs. Schedule September 01: Seeded Version Space learning– concept prototype (SVS). January 02: Example-Based Machine Translation (EMBT). July 02: Multi-Engine: EBMT, statistical MT, and SVS-ready evaluation of data-poor conditions. Carnegie Mellon University, Language Technologies Institute: L. Levin, J. Carbonell, A. Lavie, R. Brown, J. Lafferty

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