@inproceedings{09785de8d98b428b8f2a48c2dde2a33f,
title = "Integrating an Unsupervised Transliteration Model into Statistical Machine Translation",
abstract = "We investigate three methods for integrating an unsupervised transliteration model into an end-to-end SMT system. We induce a transliteration model from parallel data and use it to translate OOV words. Our approach is fully unsupervised and language independent. In the methods to integrate transliterations, we observed improvements from 0.23-0.75 (∆ 0.41) BLEU points across 7 language pairs. We also show that our mined transliteration corpora provide better rule coverage and translation quality compared to the gold standard transliteration corpora.",
author = "Nadir Durrani and Hassan Sajjad and Hieu Hoang and Philipp Koehn",
note = "Publisher Copyright: {\textcopyright} 2014 Association for Computational Linguistics; 14th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2014 ; Conference date: 26-04-2014 Through 30-04-2014",
year = "2014",
language = "English",
series = "EACL 2014 - 14th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference",
publisher = "Association for Computational Linguistics (ACL)",
pages = "148--153",
booktitle = "EACL 2014 - 14th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference",
address = "United States",
}