@inproceedings{48acf7d25fd44d72a0e95526cd08008c,
title = "Edinburgh s phrase-based machine translation systems for WMT-14",
abstract = "This paper describes the University of Edinburgh s (UEDIN) phrase-based submissions to the translation and medical translation shared tasks of the 2014 Workshop on Statistical Machine Translation (WMT). We participated in all language pairs. We have improved upon our 2013 system by i) using generalized representations, specifically automatic word clusters for translations out of English, ii) using unsupervised character-based models to translate unknown words in Russian-English and Hindi-English pairs, iii) synthesizing Hindi data from closely-related Urdu data, and iv) building huge language on the common crawl corpus.",
author = "Nadir Durrani and Barry Haddow and Philipp Koehn and Kenneth Heafield",
note = "Publisher Copyright: {\textcopyright} Proceedings of the Annual Meeting of the Association for Computational Linguistics 2014.; 9th Workshop on Statistical Machine Translation, WMT 2014 at the 52nd Conference of the Association for Computational Linguistics, ACL 2014 ; Conference date: 26-06-2014 Through 27-06-2014",
year = "2014",
doi = "10.3115/v1/w14-3358",
language = "English",
series = "Proceedings of the Annual Meeting of the Association for Computational Linguistics",
publisher = "Association for Computational Linguistics (ACL)",
pages = "97--104",
booktitle = "ACL 2014 - 9th Workshop on Statistical Machine Translation, WMT 2014, Proceedings of the Workshop",
address = "United States",
}