@inproceedings{a9ac32bcc4704c75acf3f22867a3a604,
title = "Analogy-based machine translation using secability",
abstract = "The problem of reordering remains the main problem in machine translation. Computing structures of sentences and the alignment of substructures is a way that has been proposed to solve this problem. We use secability to compute structures and show its effectiveness in an example-based machine translation.",
keywords = "Alignment, Example-based machine translation, Proportional analogy, Secability, Translation table",
author = "Tatsuya Kimura and Jin Matsuoka and Yusuke Nishikawa and Yves Lepage",
year = "2014",
doi = "10.1109/CSCI.2014.142",
language = "English",
isbn = "9781479930098",
series = "Proceedings - 2014 International Conference on Computational Science and Computational Intelligence, CSCI 2014",
publisher = "IEEE Computer Society",
pages = "297--298",
booktitle = "Proceedings - 2014 International Conference on Computational Science and Computational Intelligence, CSCI 2014",
note = "2014 International Conference on Computational Science and Computational Intelligence, CSCI 2014 ; Conference date: 10-03-2014 Through 13-03-2014",
}