@inproceedings{883130f16ca9495f83e2fab79f2a94db,
title = "Phrase-based statistical machine translation: A level of detail approach",
abstract = "The merit of phrase-based statistical machine translation is often reduced by the complexity to construct it. In this paper, we address some issues in phrase-based statistical machine translation, namely: the size of the phrase translation table, the use of underlying translation model probability and the length of the phrase unit. We present Level-Of-Detail (LOD) approach, an agglomerative approach for learning phrase-level alignment. Our experiments show that LOD approach significantly improves the performance of the word-based approach. LOD demonstrates a clear advantage that the phrase translation table grows only sub-linearly over the maximum phrase length, while having a performance comparable to those of other phrase-based approaches.",
author = "Hendra Setiawan and Haizhou Li and Min Zhang and Ooi, \{Beng Chin\}",
year = "2005",
doi = "10.1007/11562214\_51",
language = "英语",
isbn = "3540291725",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "576--587",
booktitle = "Natural Language Processing - IJCNLP 2005 - Second International Joint Conference, Proceedings",
address = "德国",
note = "2nd International Joint Conference on Natural Language Processing, IJCNLP 2005 ; Conference date: 11-10-2005 Through 13-10-2005",
}