@inproceedings{4beafbcc02a14ed9bad5a1b38b05c258,
title = "Selective Combination of Pivot and Direct Statistical Machine Translation Models",
abstract = "In this paper, we propose a selective combination approach of pivot and direct statistical machine translation (SMT) models to improve translation quality. We work with Persian-Arabic SMT as a case study. We show positive results (from 0.4 to 3.1 BLEU on different direct training corpus sizes) in addition to a large reduction of pivot translation model size.",
author = "{El Kholy}, Ahmed and Nizar Habash and Gregor Leusch and Evgeny Matusov and Hassan Sawaf",
note = "Funding Information: The work presented in this paper was possible thanks to a generous research grant from Science Applications International Corporation (SAIC). The last author (Sawaf) contributed to the effort while he was at SAIC. We would like to thank M. Sadegh Rasooli, Jon Dehdari and Nadi Tomeh for helpful discussions and insights into Persian. Publisher Copyright: {\textcopyright} IJCNLP 2013.All right reserved.; 6th International Joint Conference on Natural Language Processing, IJCNLP 2013 ; Conference date: 14-10-2013",
year = "2013",
language = "English (US)",
series = "6th International Joint Conference on Natural Language Processing, IJCNLP 2013 - Proceedings of the Main Conference",
publisher = "Asian Federation of Natural Language Processing",
pages = "1174--1180",
editor = "Ruslan Mitkov and Park, {Jong C.}",
booktitle = "6th International Joint Conference on Natural Language Processing, IJCNLP 2013 - Proceedings of the Main Conference",
}