Integrated Chinese Word Segmentation in Statistical Machine Translation

2005 International Workshop on Spoken Language Translation, IWSLT 2005

Volumn , Issue , 2005, Pages 131-137

  Xu, Jia ^a   Matusov, Evgeny ^a   Zens, Richard ^a   Ney, Hermann ^a  

^a RWTH AACHEN UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; MACHINE TRANSLATION;

CHARACTER LEVEL; CHINESE CHARACTERS; CHINESE SENTENCE; CHINESE TEXT; CHINESE WORD SEGMENTATION; CONVENTIONAL APPROACH; PERFORMANCE; PRE-PROCESSING; SEGMENTATION PROCESS; STATISTICAL MACHINE TRANSLATION;

COMPUTER AIDED LANGUAGE TRANSLATION;

EID: 85133388519     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. J. Xu, R. Zens, and H. Ney, “Do we need Chinese word segmentation for statistical machine translation?” in Proc. of the Third SIGHAN Workshop on Chinese Language Learning, Barcelona, Spain, July 2004, pp. 122–128.
2. H. Ney, “Speech translation: Coupling of recognition and translation,” in Proc. of IEEE Intl. Conference on Acoustics, Speech and Signal Processing, Phoenix, AZ, March 1999, pp. 1149–1152.
3. X. Luo and S. Roukos, “An iterative algorithm to build Chinese language models,” in Proc. of the 34th annual meeting of the Associaton for Computational Linguistics, Santa Cruz, California, June 1996, pp. 139–143.
4. IWSLT, “Intl. workshop on spoken language translation home page,” 2005, http://www.is.cs.cmu.edu/iwslt2005/CFP.html.
5. P. F. Brown, J. Cocke, S. A. Della Pietra, V. J. Della Pietra, F. Jelinek, J. D. Lafferty, R. L. Mercer, and P. S. Roossin, “A statistical approach to machine translation,” Computational Linguistics, vol. 16, no. 2, pp. 79–85, June 1990.
6. F. J. Och and H. Ney, “A systematic comparison of various statistical alignment models,” Computational Linguistics, vol. 29, no. 1, pp. 19–51, March 2003.
7. A. Stolcke, “SRILM - an extensible language modeling toolkit.” in Proc. of Intl. Conference on Spoken Language Processing, Denver, Colorado, September 2002, pp. 901–904.
8. S. Kanthak and H. Ney, “FSA: An efficient and flexible C++ toolkit for finite state automata using on-demand computation,” in Proc. of the 42nd Annual Meeting of the Association for Computational Linguistics, Barcelona, Spain, July 2004, pp. 510–517.
9. F. Casacuberta, D. Llorens, C. Martinez, S. Molau, F. Nevado, H. Ney, M. Pasto, D. Pico, A. Sanchis, E. Vilar, and J. Vilar, “Speech-to-speech translation based on finite-state transducer,” in Proc. of IEEE Intl. Conference on Acoustics, Speech and Signal Processing, Salt Lake City, Utah, May 2001, pp. 613–616.
10. R. Zens and H. Ney, “Improvements in phrase-based statistical machine translation,” in Proc. of the Human Language Technology Conference, Boston, MA, May 2004.
11. F. J. Och, “Minimum error rate training in statistical machine translation,” in Proc. of the 41th Annual Meeting of the Association for Computational Linguistics (ACL), Sapporo, Japan, July 2003, pp. 160–167.
12. K. A. Papineni, S. Roukos, T. Ward, and W.-J. Zhu, “Bleu: a method for automatic evaluation of machine translation,” in Proc. of the 40th Annual Meeting of the Association for Computational Linguistics, Philadelphia, July 2002, pp. 311–318.
13. G. Doddington, “Automatic evaluation of machine translation quality using n-gram co-occurrence statistics,” in Proc. of Human Language Technology, San Diego, California, March 2002, pp. 128–132.
14. Y. Zhang, S. Vogel, and A. Waibel, “Integrated phrase segmentation and alignment algorithm for statistical machine translation,” in Proc. of Intl. Conference on Natural Language Processing and Knowledge Engineering (NLP-KE’01), Beijing, China, October 2003, pp. 567–573.