@inproceedings{280f63d32c2a4f6b93440b7050130b3c,
title = "Using shallow syntax information to improve word alignment and reordering for SMT",
abstract = "We describe two methods to improve SMT accuracy using shallow syntax information. First, we use chunks to refine the set of word alignments typically used as a starting point in SMT systems. Second, we extend an N -gram-based SMT system with chunk tags to better account for long-distance reorderings. Experiments are reported on an Arabic-English task showing significant improvements. A human error analysis indicates that long-distance reorderings are captured effectively.",
author = "Crego, {Josep M.} and Nizar Habash",
note = "Publisher Copyright: {\textcopyright} 2008 Association for Computational Linguistics; 3rd Workshop on Statistical Machine Translation, WMT 2008 at the Annual Meeting of the Association for Computational Linguistics, ACL 2008 ; Conference date: 19-06-2008",
year = "2008",
language = "English (US)",
series = "3rd Workshop on Statistical Machine Translation, WMT 2008 at the Annual Meeting of the Association for Computational Linguistics, ACL 2008",
publisher = "Association for Computational Linguistics (ACL)",
pages = "53--61",
booktitle = "3rd Workshop on Statistical Machine Translation, WMT 2008 at the Annual Meeting of the Association for Computational Linguistics, ACL 2008",
}