@inproceedings{3d30191ccb6447ad89c1adc6742684ba,
title = "An integrated reordering model for statistical machine translation",
abstract = "In this paper, we propose a phrase reordering model for statistical machine translation. The model is derived from the bracketing ITG, and integrates the local and global reordering model. We present a method to extract phrase pairs from a word-aligned bilingual corpus in which the alignments satisfy the ITG constraint, and we also extract the reordering information for the phrase pairs, which are used to build the re-ordering model. Through experiments, we show that this model obtains significant improvements over the baseline on a Chinese-English translation.",
keywords = "ITG, Reordering model, Statistical machine translation",
author = "Chao, \{Wen Han\} and Li, \{Zhou Jun\} and Chen, \{Yue Xin\}",
year = "2007",
doi = "10.1007/978-3-540-76631-5\_91",
language = "英语",
isbn = "9783540766308",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "955--965",
booktitle = "MICAI 2007",
address = "德国",
note = "6th Mexican International Conference on Artificial Intelligence, MICAI 2007 ; Conference date: 04-11-2007 Through 10-11-2007",
}