@inproceedings{f21b4f813a9b45958c7f810e0afe99ba,
title = "Edinburgh's Machine Translation Systems for European Language Pairs",
abstract = "We validated various novel and recently proposed methods for statistical machine translation on 10 language pairs, using large data resources. We saw gains from optimizing parameters, training with sparse features, the operation sequence model, and domain adaptation techniques. We also report on utilizing a huge language model trained on 126 billion tokens.",
author = "Nadir Durrani and Barry Haddow and Kenneth Heafield and Philipp Koehn",
note = "Publisher Copyright: {\textcopyright} 2013 Association for Computational Linguistics; 8th Workshop on Statistical Machine Translation, WMT 2013 ; Conference date: 08-08-2013 Through 09-08-2013",
year = "2013",
language = "English",
series = "Proceedings of the Annual Meeting of the Association for Computational Linguistics",
publisher = "Association for Computational Linguistics (ACL)",
pages = "114--121",
editor = "Ondrej Bojar and Christian Buck and Chris Callison-Burch and Barry Haddow and Philipp Koehn and Christof Monz and Matt Post and Herve Saint-Amand and Radu Soricut and Lucia Specia",
booktitle = "WMT 2013 - 8th Workshop on Statistical Machine Translation, Proceedings",
address = "United States",
}