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.

• Type: Conference
• Year: 2000
• Where: COLING
• Authors: Douglas A. Jones, Gregory M. Rusk
• Keywords: Automatic Scoring Function, COLING 2000, COLING 2008, Language Processing Software, Machine-learning Values