Sulis: An Open Source Transfer Decoder for Deep Syntactic Statistical Machine Translation

Open access

Sulis: An Open Source Transfer Decoder for Deep Syntactic Statistical Machine Translation

In this paper, we describe an open source transfer decoder for Deep Syntactic Transfer-Based Statistical Machine Translation. Transfer decoding involves the application of transfer rules to a SL structure. The N-best TL structures are found via a beam search of TL hypothesis structures which are ranked via a log-linear combination of feature scores, such as translation model and dependency-based language model.

If the inline PDF is not rendering correctly, you can download the PDF file here.

  • Bojar Ondřej and Jan Hajič. Phrase-Based and Deep Syntactic English-to-Czech Statistical Machine Translation. In Proceedings of the third Workshop on Statistical Machine Translation Columbus Ohio June 2008.

  • Graham Yvette and Josef van Genabith. An open source rule induction tool for transfer-based smt. The Prague Bulletin of Mathematical Linguistics Special Issue: Open Source Tools for Machine Translation pages 37-46 2009.

  • Graham Yvette Josef van Genabith and Anton Bryl. F-structure transfer-based statistical machine translation. In Proceedings of Lexical Functional Grammar Conference 2009 Cambridge July 2009.

  • Kaplan Ronald M. Tracy H. King and John T. Maxwell. Adapting existing grammars: the XLE experience. In Proceedings of COLING 2002 Taipei Taiwan 2002.

  • Koehn Philipp and Hieu Hoang. Factored Translation Models. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning page 868-876 Prague June 2007.

  • Koehn Philip Franz Josef Och and Daniel Marcu. Statistical phrase-based translation. In Proceedings of HLT-NAACL 2003 pages 48-54 Edmonton Alberta 2003.

  • Och Franz Josef. Minimum error rate training in statistical machine translation. In Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics pages 160-167 Sapporo Japan 2003.

  • Och Franz Josef Christoph Tillmann and Hermann Ney. Improved alignment models for statistical machine translation. In Proceedings of the 1999 Conference on Empirical Methods in Natural Language Processsing (EMNLP 99 pages 20-28 College Park MD 2000.

  • Riezler Stefan and John Maxwell. Grammatical Machine Translation. In Proceedings of HLTACL pages 248-255 New York 2006.

  • Stolcke Andreas. Srilm - an extensible language modeling toolkit. In Proceedings of the International Conference on Spoken Language Processing Denver Colorado September 2002.

  • Zaidan Omar. Z-mert: A fully configurable open source tool for minimum error rate training of machine translation systems. pages 79-88 2009.

Search
Journal information
Cited By
Metrics
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 98 33 1
PDF Downloads 65 30 0