Effective selection of translation model training data

52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Proceedings of the Conference

Volumn 2, Issue , 2014, Pages 569-573

  Liu, Le ^a   Hong, Yu ^a   Liu, Hao ^a   Wang, Xing ^a   Yao, Jianmin ^a  

^a SOOCHOW UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER AIDED LANGUAGE TRANSLATION; DATA REDUCTION;

DATA SELECTION; EFFECTIVE APPROACHES; LANGUAGE MODEL; NOVEL METHODS; PARALLEL CORPORA; STATISTICAL MACHINE TRANSLATION; TARGET DOMAIN; TRANSLATION MODELS;

COMPUTATIONAL LINGUISTICS;

EID: 84906928057     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/v1/p14-2093     Document Type: Conference Paper

References (16)

1. Amittai Axelrod, Xiaodong He, and Jianfeng Gao. 2011. Domain adaptation via pseudo in-domain data selection. In Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, pages 355-362, Edinburgh, Scotland, UK, July. Association for Computational Linguistics.
2. Peter F.Brown, Vincent J. Della Pietra, Stephen A. Della Pietra and Robert L. Mercer. 1993. The mathematics of statistical machine translation: Parameter estimation. Computational linguistics, 1993, 19(2): 263-311.
3. Stanley Chen and Joshua Goodman. 1998. An Empirical Study of Smoothing Techniques for Language Modeling. Technical Report 10-98, Computer Science Group, Harvard University.
4. Moore Robert C, Lewis William. 2010. Intelligent selection of language model training data. In Proceedings of the ACL 2010 Conference Short Papers. Association for Computational Linguistics, 2010: 220-224.
5. Chiang David. A hierarchical phrase-based model for statistical machine translation. 2005. In Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics, pages: 263-270. Association for Computational Linguistics.
6. Kevin Duh, Graham Neubig, Katsuhito Sudoh and Hajime Tsukada. Adaptation Data Selection using Neural Language Models: Experiments in Machine Translation. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, pages 678-683, Sofia, Bulgaria, August 4-9 2013.
7. Kevin Duh, Katsuhito Sudoh, and Hajime Tsukada. 2010.Analysis of translation model adaptation for statistical machine translation. In Proceedings of the International Workshop on Spoken Language Translation (IWSLT) - Technical Papers Track.
8. George Foster, Cyril Goutte, and Roland Kuhn. 2010. Discriminative Instance Weighting for Domain Adaptation in Statistical Machine Translation. Empirical Methods in Natural Language Processing.
9. Barry Haddow and Philipp Koehn. 2012. Analysing the effect of out-of-domain data on smt systems. In Proceedings of the Seventh Workshop on Statistical Machine Translation, pages 422-432, Montreal, Canada, June. Association for Computational Linguistics.
10. Och, Franz Josef, and Hermann Ney. A systematic comparison of various statistical alignment models. Computational linguistics 29.1 (2003): 19-51.
11. Och, Franz Josef. Minimum error rate training in statistical machine translation. Proceedings of the 41st Annual Meeting on Association for Computational Linguistics- Volume1. Association for Computational Linguistics, 2003.
12. Philipp Koehn and Barry Haddow. 2012. Towards effective use of training data in statistical machine translation. In WMT.
13. Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002. BLEU: A method for automatic evaluation of machine translation. In ACL.
14. Andreas Stolcke. 2002. SRILM - An extensible language modeling toolkit. Spoken Language Processing.
15. Tong Xiao, Jingbo Zhu, Hao Zhang and Qiang Li.NiuTrans: an open source toolkit for phrase-based and syntax-based machine translation. In Proceedings of the ACL 2012 System Demonstrations. Association for Computational Linguistics, 2012: 19-24.
16. Keiji Yasuda, Ruiqiang Zhang, Hirofumi Yamamoto, and Eiichiro Sumita. 2008. Method of selecting training data to build a compact and efficient translation model. International Joint Conference on Natural Language Processing.