@inproceedings{e1c25bb0de8b4421864160498afb70f7,
title = "Reordering with source language collocations",
abstract = "This paper proposes a novel reordering model for statistical machine translation (SMT) by means of modeling the translation orders of the source language collocations. The model is learned from a word-aligned bilingual corpus where the collocated words in source sentences are automatically detected. During decoding, the model is employed to softly constrain the translation orders of the source language collocations, so as to constrain the translation orders of those source phrases containing these collocated words. The experimental results show that the proposed method significantly improves the translation quality, achieving the absolute improvements of 1.1∼1.4 BLEU score over the baseline methods.",
author = "Zhanyi Liu and Haifeng Wang and Hua Wu and Ting Liu and Sheng Li",
year = "2011",
language = "英语",
isbn = "9781932432879",
series = "ACL-HLT 2011 - Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies",
pages = "1036--1044",
booktitle = "ACL-HLT 2011 - Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics",
note = "49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL-HLT 2011 ; Conference date: 19-06-2011 Through 24-06-2011",
}