Selective Combination of Pivot and Direct Statistical Machine Translation Models

Ahmed El Kholy, Nizar Habash, Gregor Leusch, Evgeny Matusov, Hassan Sawaf

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publication6th International Joint Conference on Natural Language Processing, IJCNLP 2013 - Proceedings of the Main Conference
EditorsRuslan Mitkov, Jong C. Park
PublisherAsian Federation of Natural Language Processing
Pages1174-1180
Number of pages7
ISBN (Electronic)9784990734800
StatePublished - 2013
Event6th International Joint Conference on Natural Language Processing, IJCNLP 2013 - Nagoya, Japan
Duration: Oct 14 2013 → …

Publication series

Name6th International Joint Conference on Natural Language Processing, IJCNLP 2013 - Proceedings of the Main Conference

Conference

Conference6th International Joint Conference on Natural Language Processing, IJCNLP 2013
Country/TerritoryJapan
CityNagoya
Period10/14/13 → …

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software

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