The LIG English to French Machine Translation System for IWSLT 2012

2012 International Workshop on Spoken Language Translation, IWSLT 2012

Volumn , Issue , 2012, Pages 102-108

  Besacier, Laurent ^a   Lecouteux, Benjamin ^a   Azouzi, Marwen ^a   Quang, Luong Ngoc ^a  

^a UNIV GRENOBLE ALPES   (France)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; COMPUTER AIDED LANGUAGE TRANSLATION; REGRESSION ANALYSIS;

AUXILIARY SYSTEMS; CONFIDENCE MEASURE; GOOGLE TRANSLATE; LOGLINEAR MODEL; MACHINE TRANSLATION SYSTEMS; MACHINE TRANSLATIONS; N-BEST LIST; PRIMARY SYSTEMS; SMT SYSTEMS; SYSTEM OUTPUT;

MACHINE TRANSLATION;

EID: 85054961260     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. P. Koehn, “Europarl: a parallel corpus for statistical machine translation.” in MT Summit X, Phuket, Thailand, 2005, pp. 79-86.
2. A. Eisele and Y. Chen, “Multiun: a multilingual corpus from united nation documents.” in LREC 2010, Valletta, Malta, 2010, pp. 2868-287.
3. R. Steinberger, A. Eisele, S. Klocek, P. Spyridon, and P. Schlter, “Dgt-tm: A freely available translation memory in 22 languages,” in LREC 2012, Istanbul, Turkey, 2012.
4. J. Tiedemann, “News from opus - a collection of multilingual parallel corpora with tools and interfaces,” in Recent Advances in Natural Language Processing, 2009.
5. A. Stolcke, “SRILM - an extensible language modeling toolkit,” in Proceedings of the 7th International Conference on Spoken Language Processing (ICSLP), Denver, CO, USA, 2002.
6. B. Lecouteux, G. Linares, and S. Oger, “Integrating imperfect transcripts into speech recognition systems for building high-quality corpora,” Computer Speech and Language, vol. 26, no. 2, pp. 67 - 89, 2012.
7. A.-v. Rosti, S. Matsoukas, and R. Schwartz, “Improved word-level system combination for machine translation,” in In Proceedings of ACL, 2007.
8. S. Bangalore, “Computing consensus translation from multiple machine translation systems,” in In Proceedings of IEEE Automatic Speech Recognition and Understanding Workshop (ASRU-2001, 2001, pp. 351-354.
9. A.-v. Rosti, N.-F. Ayan, B. Xiang, S. Matsoukas, R. Schwartz, and B. Dorr, “Combining outputs from multiple machine translation systems,” in In Proceedings of the North American Chapter of the Association for Computational Linguistics Human Language Technologies, 2007, pp. 228-235.
10. A. S. Hildebrand and S. Vogel, “Combination of machine translation systems via hypothesis selection from combined n-best lists,” in Proceedings of Association for Machine Translation in the Americas (AMTA), Hawai, USA, 2009.
11. M. Li, N. Duan, D. Zhang, C.-h. Li, and M. Zhou, “Collaborative decoding: Partial hypothesis re-ranking using translation consensus between decoders,” in Joint ACL IJCNLP, 2009.
12. K. Papineni, S. Roukos, T. Ward, and W.-J. Zhu, “Bleu: a method for automatic evaluation of machine translation.” in ACL. ACL, 2002.
13. M. Snover, N. Madnani, B. Dorr, and R. Schwartz, “Terp: A system description,” in Proceedings of the First NIST Metrics for Machine Translation Challenge (MetricsMATR), Waikiki, Hawaii, October 2008.
14. L. Specia, M. Turchi, N. Cancedda, M. Dymetman, and N. Cristianini, “Estimating the sentence-level quality of machine translation systems,” in 13th Conference of the European Association for Machine Translation, Barcelona, Spain, 2009, p. 2837.
15. T. Lavergne, O. Cappe, and F. Yvon, “Practical very large scale crfs,” in Proceedings ACL, 2010, p. 504513.