Evaluating indirect strategies for Chinese-Spanish statistical machine translation

Journal of Artificial Intelligence Research

Volumn 45, Issue , 2012, Pages 761-780

  Costa Jussá, Marta R ^a   Henriquez Q , Carlos A ^b   Banchs, Rafael E ^a  

^a INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

^b UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

LANGUAGE PAIRS; MACHINE TRANSLATIONS; PARALLEL CORPORA; PIVOT STRATEGIES; RESEARCH COMMUNITIES; SPOKEN LANGUAGES; STATISTICAL MACHINE TRANSLATION; TRANSLATION STRATEGIES;

COMPUTER AIDED LANGUAGE TRANSLATION;

LINGUISTICS;

EID: 84875132605     PISSN: None     EISSN: 10769757     Source Type: Journal    
DOI: 10.1613/jair.3786     Document Type: Article

References (44)

1. Abdul-Rauf, S., Fishel, M., Lambert, P., Noubours, S., & Sennrich, R. (2012). Extrinsic evaluation of sentence alignment systems. In Proceedings of LREC workshop on Creating Cross-language Resources for Disconnected Languages and Styles, CREDISLAS, Istambul.
2. Banchs, R. E., Crego, J. M., Lambert, P., & Mariño, J. B. (2006). A Feasibility Study For Chinese-Spanish Statistical Machine Translation. In Proc. of the 5th Int. Symposium on Chinese Spoken Language Processing (ISCSLP)CONLL, pp. 681-692, Kent Ridge, Singapore.
3. Banchs, R. E., & Li, H. (2008). Exploring Spanish Morphology effects on Chinese-Spanish SMT. In MATMT 2008: Mixing Approaches to Machine Translation, pp. 49-53, Donostia-San Sebastian, Spain.
4. Banerjee, S., & Lavie, A. (2005). METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments. In Proceedings of ACL Workshop on Intrinsic and Extrinsic Evaluation Measures for MT and/or Summarization.
5. Bertoldi, N., Cattoni, R., Federico, M., & Barbaiani, M. (2008). FBK @ IWSLT-2008. In Proc. of the International Workshop on Spoken Language Translation, pp. 34-38, Hawaii, USA.
6. Bickel, P. J., & Doksum, K. A. (1977). Mathematical: Basic Ideas and Selected topics. In HoldenDay Inc., Oakland, CA, USA.
7. Birch, A., Osborne, M., & Koehn, P. (2008). Predicting Success in Machine Translation. In Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, pp. 745-754, Honolulu, Hawaii. Association for Computational Linguistics.
8. Brown, P. F., Cocke, J., Della Pietra, S. A., Della Pietra, V. J., Jelinek, F., Lafferty, J. D., Mercer, R. L., & Roossin, P. S. (1990). A Statistical Approach to Machine Translation. Computational Linguistics, 16 (2), 79-85.
9. Callison-Burch, C., Koehn, P., Monz, C., Post, M., Soricut, R., & Specia, L. (2012). Findings of the 2012 workshop on statistical machine translation. In Proceedings of the Seventh Workshop on Statistical Machine Translation, pp. 10-51, Montréal, Canada.
10. Chew, P. A., Verzi, S. J., Bauer, T. L., & McClain, J. T. (2006). Evaluation Of The Bible As A Resource For Cross-language Information Retrieval. In Proceedings of the Workshop on Multilingual Language Resources and Interoperability, pp. 68-74.
11. Cohn, T., & Lapata, M. (2007). Machine Translation by Triangulation: Making Effective Use of Multi-Parallel Corpora. In Proc. of the ACL.
12. Costa-jussà, M., Henríquez, C., & Banchs, R. E. (2011a). Enhancing Scarce-resource Language Translation Through Pivot Combinations. In 5th International Joint Conference on Natural Language Processing, IJCNLP, Chiang Mai, Thailand.
13. Costa-jussà, M., Henríquez, C., & Banchs, R. E. (2011b). Evaluación de estrategias para la traducción automática estadística de chino a castellano con el inglés como lengua pivote. In XXVII Edición del Congreso Anual de la Sociedad Española Para El Procesamiento del Lenguaje Natural, SEPLN, Huelva.
14. de Gispert, A., & Mariño, J. (2006). Catalan-English Statistical Machine Translation without Parallel Corpus: Bridging through Spanish. In Proc. of LREC 5th Workshop on Strategies for developing Machine Translation for Minority Languages (SALTMIL'06), pp. 65-68, Genova.
15. EastAsiaFoundation (2012). Global asia magazine.. [Online; accessed 12-December-2012].
16. Ehling, N., Zens, R., & Ney, H. (2007). Minimum Bayes Risk Decoding for BLEU. In Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics Companion Volume Proceedings of the Demo and Poster Sessions, pp. 101-104, Prague, Czech Republic. Association for Computational Linguistics.
17. Ethnologue (2012). Ranking of most spoken languages.. [Online; accessed 12-December- 2012].
18. Goel, V., & Byrne, W. (2000). Minimum Bayes-risk Automatic Speech Recognition. Computer Speech and Language, 14 (2), 115-135.
19. Habash, N., & Rambow, O. (2005). Arabic Tokenization, Part-of-Speech Tagging and Morphological Disambiguation in One Fell Swoop. In Proc. of the 43rd Annual Meeting of the Association for Computational Linguistics, pp. 573-580, Ann Arbor, MI. Association for Computational Linguistics.
20. Henríquez Q., C. A., Banchs, R. E., & Mariño, J. B. (2010). Learning Reordering Models for Statistical Machine Translation with a Pivot Language. Internal Report TALP-UPC.
21. Khalilov, M., Costa-Jussá, M. R., Henríquez, C. A., Fonollosa, J. A. R., Herníandez, A., Mariño, J. B., Banchs, R. E., Chen, B., Zhang, M., Aw, A., & Li, H. (2008). The TALP & I2R SMT Systems for IWSLT 2008. In Proc. of the International Workshop on Spoken Language Translation, pp. 116-123, Hawaii, USA.
22. Koehn, P. (2004). Statistical Significance Tests For Machine Translation Evaluation. In Proceedings of EMNLP, Vol. 4, pp. 388-395.
23. Koehn, P., Hoang, H., Birch, A., Callison-Burch, C., Federico, M., Bertoldi, N., Cowan, B., Shen, W., Moran, C., Zens, R., Dyer, C., Bojar, O., Constantin, A., & Herbst, E. (2007). Moses: Open source toolkit for statistical machine translation. In Proc. of the ACL, pp. 177-180, Prague, Czech Republic.
24. Koehn, P., Och, F., & Marcu, D. (2003). Statistical Phrase-Based Translation. In Proc. of the 41th Annual Meeting of the Association for Computational Linguistics.
25. Kumar, S., & Byrne, W. (2004). Minimum Bayes-Risk Decoding For Statistical Machine Translation. In Proceedings of the Human Language Technology and North American Association for Computational Linguistics Conference (HLT/NAACL'04), pp. 169- 176, Boston, USA.
26. Mariño, J., Banchs, R. E., Crego, J. M., de Gispert, A., Lambert, P., Fonollosa, J. R., & Costa-jussà, M. R. (2006). N-gram Based Machine Translation. Computational Linguistics, 32 (4), 527-549.
27. Moore, R. (2002). Fast And Accurate Sentence Alignment Of Bilingual Corpora. In Proc. of AMTA, pp. 135-144, London.
28. Nist (2009). NIST machine translation evaluation campaign.. [Online; accessed 12- December-2012].
29. Och, F. J., & Ney, H. (2000). Improved Statistical Alignment Models. In Proc. of the 38th Annual Meeting of the Association for Computational Linguistics, pp. 440-447, Hongkong, China.
30. Och, F. (2003). Minimum Error Rate Training In Statistical Machine Translation. In Proc. of the 41th Annual Meeting of the Association for Computational Linguistics, pp. 160-167.
31. Och, F., & Ney, H. (2002). Dicriminative training and maximum entropy models for statistical machine translation. In Proc. of the 40th Annual Meeting of the Association for Computational Linguistics, pp. 295-302, Philadelphia, PA.
32. Papineni, K., Roukos, S., Ward, T., & Zhu, W.-J. (2001). BLEU: A Method for Automatic Evaluation of Machine Translation. IBM Research Report, RC22176.
33. Paul, M. (2008). Overview of the iwslt 2008 evaluation campaign. In Proc. of the International Workshop on Spoken Language Translation, pp. 1-17, Hawaii, USA.
34. Paul, M., Yamamoto, H., Sumita, E., & Nakamura, S. (2009). On the Importance of Pivot Language Selection for Statistical Machine Translation. In HLT-NAACL (Short Papers), pp. 221-224.
35. Rafalovitch, A., & Dale, R. (2009). United Nations General Assembly Resolutions: A Six- Language Parallel Corpus. In Proc. of the MT Summit XII, pp. 292-299, Ottawa.
36. Senrich, R. (2010). MT-based Sentence Alignment For OCR-generated Parallel Texts. In Proc. of AMTA, Denver.
37. Snover, M., Dorr, B., Schwartz, R., Micciulla, L., & Makhoul, J. (2006). A Study of Translation Edit Rate with Targeted Human Annotation. In Proceedings of Association for Machine Translation in the Americas.
38. Stolcke, A. (2002). SRILM: an extensible language modeling toolkit.. In Proc. of the Int. Conf. on Spoken Language Processing, pp. 901-904, Denver, CO.
39. Tillman, C. (2004). A Block Orientation Model for Statistical Machine Translation. In HLT-NAACL.
40. Wang, H., Wu, H., Hu, X., Liu, Z., Li, J., Ren, D., & Niu, Z. (2008). The TCH Machine Translation System for IWSLT 2008. In Proc. of the International Workshop on Spoken Language Translation, pp. 124-131, Hawaii, USA.
41. Wu, H., &Wang, H. (2007). Pivot Language Approach for Phrase-Based Statistical Machine Translation. In Proc. of the ACL, pp. 856-863, Prague.
42. Zapatero, J. R. (2010). China is a top priority for the spanish economy; our companies are well aware of that.. [Online; accessed 12-December-2012].
43. Zens, R., Och, F., & Ney, H. (2002). Phrase-based statistical machine translation. In Verlag, S. (Ed.), Proc. German Conference on Artificial Intelligence (KI).
44. Zhang, H., Yu, H., Xiong, D., & Liu, Q. (2003). HHMM-based chinese lexical analyzer ICTCLAS. In Proc. of the 2nd SIGHAN Workshop on Chinese language processing, pp. 184-187, Sapporo, Japan.