Automatic Translation Template Acquisition Based on Bilingual Structure Alignment
Yajuan Lü, Ming Zhou, Sheng Li, Changning Huang, Tiejun Zhao · 2001
Knowledge acquisition is a bottleneck in machine translation and many NLP tasks. A method for automatically acquiring translation templates from bilingual corpora is proposed in this paper. Bilingual sentence pairs are first aligned in syntactic structure by combining a language parsing with a statistical bilingual language model. The alignment results are used to extract translation templates which turn out to be very useful in real machine translation.