A weighted finite state transducer implementation of the alignment template model for statistical machine translation

Proceedings of the 2003 Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics, HLT-NAACL 2003

Volumn , Issue , 2003, Pages

  Kumar, Shankar ^a   Byrne, William ^a  

^a Johns Hopkins University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; NATURAL LANGUAGE PROCESSING SYSTEMS; TRANSDUCERS;

N-BEST LIST; PERFORMANCE; SEARCH PROCEDURES; STATISTICAL MACHINE TRANSLATION; TEMPLATE MODELS; WEIGHTED FINITE-STATE TRANSDUCERS; WORD ALIGNMENT; WORD TRANSLATION;

COMPUTER AIDED LANGUAGE TRANSLATION;

EID: 33746906339     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. S. Bangalore and G. Ricardi. 2001. A finite-state approach to machine translation. In Proc. of the North American Chapter of the Association for Computational Linguistics, Pittsburgh, PA, USA.
2. P. F. Brown, S. A. Della Pietra, V. J. Della Pietra, and R. L. Mercer. 1993. The mathematics of statistical machine translation: Parameter estimation. Computational Linguistics, 19(2):263–311.
3. G. Doddington. 2002. Automatic evaluation of machine translation quality using n-gram co-occurrence statistics. In Proc. of HLT 2002, San Diego, CA. USA.
4. K. Knight and Y. Al-Onaizan. 1998. Translation with finite-state devices. In Proc. of the AMTA Conference, pages 421–437, Langhorne, PA, USA.
5. D. Marcu and U. Germann, 2002. The ISI ReWrite Decoder Release 0.7.0b. http://www.isi.edu/licensedsw/rewrite-decoder/.
6. M. Mohri, F. Pereira, and M. Riley, 1997. ATT General-purpose finite-state machine software tools. http://www.research.att.com/sw/tools/fsm/.
7. M. Mohri, F. Pereira, and M. Riley. 2002. Weighted finite-state transducers in speech recognition. Computer Speech and Language, 16(1):69–88.
8. F. Och and H. Ney. 2000. Improved statistical alignment models. In Proc. of ACL-2000, pages 440–447, Hong Kong, China.
9. F. Och, C. Tillmann, and H. Ney. 1999. Improved alignment models for statistical machine translation. In Proc. of the Joint Conf. of Empirical Methods in Natural Language Processing and Very Large Corpora, pages 20–28, College Park, MD, USA.
10. F. Och. 2002. Statistical Machine Translation: From Single Word Models to Alignment Templates. Ph.D. thesis, RWTH Aachen, Germany.
11. K. Papineni, S. Roukos, T. Ward, and W. Zhu. 2001. Bleu: a method for automatic evaluation of machine translation. Technical Report RC22176 (W0109-022), IBM Research Division.
12. A. Stolcke. 2002. SRILM – an extensible language modeling toolkit. In Proc. of the International Conference on Spoken Language Processing, pages 901–904, Denver, CO, USA. http://www.speech.sri.com/projects/srilm/.
13. N. Ueffing, F. Och, and H. Ney. 2002. Generation of word graphs in statistical machine translation. In Proc. of the Conference on Empirical Methods in Natural Language Processing, pages 156–163, Philadelphia, PA, USA.
14. F. Wessel, K. Macherey, and R. Schlueter. 1998. Using word probabilities as confidence measures. In Proc. of ICASSP-98, pages 225–228, Seattle, WA, USA.