@inproceedings{beefd36101ff422e9810ff88d898da6a,
title = "Improving machine translation via triangulation and transliteration",
abstract = "In this paper we improve Urdu→Hindi⇄English machine translation through triangulation and transliteration. First we built an Urdu→Hindi SMT system by inducing triangulated and transliterated phrase-tables from Urdu-English and Hindi-English phrase translation models. We then use it to translate the Urdu part of the Urdu-English parallel data into Hindi, thus creating an artificial Hindi-English parallel data. Our phrase-translation strategies give an improvement of up to +3.35 BLEU points over a baseline Urdu→Hindi system. The synthesized data improve Hindi→English system by +0.35 and English→Hindi system by +1.0 BLEU points.",
author = "Nadir Durrani and Philipp Koehn",
note = "Publisher Copyright: {\textcopyright} 2014 The authors.; 17th Annual Conference of the European Association for Machine Translation, EAMT 2014 ; Conference date: 16-06-2014 Through 18-06-2014",
year = "2014",
language = "English",
series = "Proceedings of the 17th Annual Conference of the European Association for Machine Translation, EAMT 2014",
publisher = "European Association for Machine Translation",
pages = "71--78",
editor = "Marko Tadic and Philipp Koehn and Philipp Koehn and Andy Way and Johann Roturier",
booktitle = "Proceedings of the 17th Annual Conference of the European Association for Machine Translation, EAMT 2014",
}