A Machine Translation Model Based on E-Chunk
Tianshun Yao · 2002
In this paper, a new E-Chunk based multi-engine machine translation model is proposed. The model is composed of a head-driven lexicalized parser, a word-similarity based E-Chunk match engine and a bilingual E-Chunk based transfer engine. The optimal E-Chunk tiling is constructed in a bottom-up style efficiently. Preliminary experimental results show that it is effective in domain oriented machine translation.