A System for Finding Translation Patterns by Comparing an MT Result and Its Correction
Hideo Watanabe · Journal of Natural Language Processing · 1994
When the example-based approach is used for machine translation, it is importantto collect a large volume of translation patterns, because most systems use as atranslation example a pair of parsed structures in the source and target languages.Such parsed translation pairs are hard to collect. This paper describes a systemfor finding parsed translation pairs (or translation patterns) that are valid for thetranslation pattern base by comparing wrong translations and corresponding correcttranslations.