Linguistic knowledge in statistical phrase-based word alignment

Natural Language Engineering

Volumn 12, Issue 1, 2006, Pages 91-108

  De Gispert, A ^a   Marino J B ^a  

^a UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; PROBABILITY; STATISTICAL METHODS; TEXT PROCESSING; TRANSLATION (LANGUAGES);

LINGUISTIC KNOWLEDGE; PARALLEL TEXT; PHRASE ALIGNMENT; PHRASE CLASSIFICATION; PHRASE SELECTION; STATISTICAL WORD ALIGNMENT;

LINGUISTICS;

EID: 33744960277     PISSN: 13513249     EISSN: 14698110     Source Type: Journal    
DOI: 10.1017/S1351324905003931     Document Type: Article

References (21)

1. Brants, T. (2000) TnT - a statistical part-of-speech tagger. Proc. of the Sixth Applied Natural Language Processing (ANLP-2000), Seattle, WA.
2. Brown, P., Della Pietra, S., Della Pietra, V. and Mercer, R. (1993) The mathematics of statistical machine translation. Computational Linguistics, 19(2): 263-311.
3. Brown, R. D. (1999). Adding linguistic knowledge to a lexical example-based translation system. Proc. of the Eighth International Conference on Theoretical and Methodological Issues in Machine Translation (TMI-99), pp. 22-32.
4. Carreras, X., Chao, I., Padró, L. and Padró, M. (2004) Freeling: An open-source suite of language analyzers. 4th Int. Conf. on Language Resources and Evaluation, LREC'04, pp. 239-242.
5. Cherry, C. and Lin, D. (2003a). A probability model to improve word alignment. 41st Annual Meeting of the Association for Computational Linguistics, pp. 88-95.
6. Cherry, C. and Lin, D. (2003b). Word alignment with cohesion constraint. Proc. of the Human Language Technology Conference, HLT-NAACL'2003, pp. 49-51.
7. de Gispert, A. and Mariño, J. (2002) Using X-grams for speech-to-speech translation. Proc. of the 7th Int. Conf. on Spoken Language Processing, ICSLP'02, pp. 1885-1888.
8. de Gispert, A. and Mariño, J. (2003) Experiments in word-ordering and morphological preprocessing for transducer-based statistical machine translation. IEEE Automatic Speech Recognition and Understanding Workhsop, ASRU'03, pp. 634-639.
9. Gale, W. and Church, K. (1991) Identifying word correspondences in parallel texts. 4th Speech and Natural Language Workshop, pp. 152-157.
10. Koehn, P., Och, F. and Marcu, D. (2003) Statistical phrase-based translation. Proc. of the Human Language Technology Conference, HLT-NAACL'2003.
11. Lambert, P. and Castell, N. (2004) Alignment of parallel corpora exploiting asymmetrically aligned phrases. Proc. of the LREC 2004 Workshop on the Amazing Utility of Parallel and Comparable Corpora, pp. 26-29.
12. Marcu, D. and Wong, W. (2002) A phrase-based, joint probability model for statistical machine translation. Proc. of the Conf. on Empirical Methods in Natural Language Processing, EMNLP'02, pp. 133-139.
13. Melamed, D. (2001) Empirical Methods for Exploiting Parallel Text. MIT Press, Cambridge, MA.
14. Mihalcea, R. and Pedersen, T. (2003) An evaluation exercise for word alignment. In: Mihalcea, R. and Pedersen, T., editors, HLT-NAACL 2003 Workshop: Building and Using Parallel Texts: Data Driven Machine Translation and Beyond, pp. 1-10, Edmonton, Alberta, Canada.
15. Miller, G., Beckwith, R., Fellbaum, C., Gross, D., Miller, K. and Tengi, R. (1991) Five papers on wordnet. Special Issue of International Journal of Lexicography, 3(4): 235-312.
16. Och, F. (2003) Giza++ software. http://www-i6.informatik.rwth-aachen.de/_eioch/software/giza++.html.
17. Och, F. and Ney, H. (2000) Improved statistical alignment models. 38th Annual Meeting of the Association for Computational Linguistics, pp. 440-447.
18. Och, F. and Ney, H. (2003) A systematic comparison of various statistical alignment models. Computational Linguistics, 29(1): 19-51.
19. Och, F., Tillmann, C. and Ney, H. (1999) Improved alignment models for statistical machine translation. Proc. of the Joint Conf. of Empirical Methods in Natural Language Processing and Very Large Corpora, pp. 20-28.
20. Toutanova, K., Tolga Ilhan, H. and Manning, C. (2002) Extensions to hmm-based statistical word alignment models. Proc. of the Conf. on Empirical Methods in Natural Language Processing, EMNLP'02, pp. 87-94.
21. Vogel, S., Ney, H. and Tillmann, C. (1996). Hmm-based word alignment in statistical translation. Proc. of the Int. Conf. on Computational Linguistics, COLING'96, pp. 836-841.