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Toward a Scoring Function for Quality-Driven Machine Translation

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Toward a Scoring Function for Quality-Driven Machine Translation
We describe how we constructed an automatic scoring function for machine translation quality; this function makes use of arbitrarily many pieces of natural language processing software that has been designed to process English language text. By machine-learning values of fnnctions available inside the software and by constructing functions that yield values based upon the software output, we are able to achieve preliminary, positive results in machine-learning the difference between human-produced English and machine-translation English. We suggest how the scoring ftmction may be used for MT system development.
Douglas A. Jones, Gregory M. Rusk
Added 01 Nov 2010
Updated 01 Nov 2010
Type Conference
Year 2000
Where COLING
Authors Douglas A. Jones, Gregory M. Rusk
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