@inproceedings{dd37eadfc2f640d89c12b80d0d0e1b1f,
title = "Improving statistical machine translation with selectional preferences",
abstract = "Long-distance semantic dependencies are crucial for lexical choice in statistical machine translation. In this paper, we study semantic dependencies between verbs and their arguments by modeling selectional preferences in the context of machine translation. We incorporate preferences that verbs impose on subjects and objects into translation. In addition, bilingual selectional preferences between source-side verbs and target-side arguments are also investigated. Our experiments on Chinese-to-English translation tasks with large-scale training data demonstrate that statistical machine translation using verbal selectional preferences can achieve statistically significant improvements over a state-of-the-art baseline.",
author = "Haiqing Tang and Deyi Xiong and Min Zhang and Zhengxian Gong",
note = "Publisher Copyright: {\textcopyright} 1963-2018 ACL.; 26th International Conference on Computational Linguistics, COLING 2016 ; Conference date: 11-12-2016 Through 16-12-2016",
year = "2016",
language = "英语",
isbn = "9784879747020",
series = "COLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016: Technical Papers",
publisher = "Association for Computational Linguistics, ACL Anthology",
pages = "2154--2163",
booktitle = "COLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016",
}