Previous work shows that the process of parallel text exploitation to extract transfer mappings between language pairs raises the capability of language translation. However, while this process can be fully automated, one thorny problem called "divergence" causes indisposed mapping extraction. Therefore, this paper discuss the issues of parallel text exploitation, in general, with special emphasis on divergence analysis and processing. In the experiments on a Mandarin-English travel conversation corpus of 11,885 sentence pairs, the perplexity with the alignments in IBM translation model is reduced averagely from 13.65 to 5.18 by sieving out inappropriate sentences from the collected corpus.
|Published - 2005
|17th Conference on Computational Linguistics and Speech Processing, ROCLING 2005 - Tainan, Taiwan
Duration: 15 Sep 2005 → 16 Sep 2005
|17th Conference on Computational Linguistics and Speech Processing, ROCLING 2005
|15/09/05 → 16/09/05