Paper: Learning Translation Templates From Bilingual Text

ACL ID C92-2101
Title Learning Translation Templates From Bilingual Text
Venue International Conference on Computational Linguistics
Session Main Conference
Year 1992

This paper proposes a two-phase example-based machine translation methodology which develops translation templates from examples and then translates using template matching. This method improves translation quality and facilitates customization of machine translation systems. This paper focuses on the automatic learning of translation templates. A translation template is a bilingual pair of sentences in which corresponding units (words and phrases) are coupled and replaced with variables. Correspondence between units is determined by using a bilingual dictionary and by analyzing the syntactic structure of the sentences. Syntactic ambiguity and ambiguity in correspondence between units are simultaneously resolved. All of the translation templates generated from a bilingual corpus are groupe...