@inproceedings{a6c85a699fe64a1099ab5abf13dbc9e0,
title = "Shift-reduce word reordering for machine translation",
abstract = "This paper presents a novel word reordering model that employs a shift-reduce parser for inversion transduction grammars. Our model uses rich syntax parsing features for word reordering and runs in linear time. We apply it to postordering of phrase-based machine translation (PBMT) for Japanese-to-English patent tasks. Our experimental results show that our method achieves a significant improvement of +3.1 BLEU scores against 30.15 BLEU scores of the baseline PBMT system.",
author = "Katsuhiko Hayashi and Katsuhito Sudoh and Hajime Tsukada and Jun Suzuki and Masaaki Nagata",
note = "Publisher Copyright: {\textcopyright} 2013 Association for Computational Linguistics.; 2013 Conference on Empirical Methods in Natural Language Processing, EMNLP 2013 ; Conference date: 18-10-2013 Through 21-10-2013",
year = "2013",
language = "English",
series = "EMNLP 2013 - 2013 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference",
publisher = "Association for Computational Linguistics (ACL)",
pages = "1382--1386",
booktitle = "EMNLP 2013 - 2013 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference",
address = "United States",
}