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Volumn , Issue , 2011, Pages 11-27

Overview of the IWSLT 2011 Evaluation Campaign

Author keywords

[No Author keywords available]

Indexed keywords

CHARACTER RECOGNITION; COMPUTATIONAL LINGUISTICS;

EID: 84865515782     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (71)

References (28)
  • 2
    • 85120046073 scopus 로고    scopus 로고
    • METEOR: An Automatic Metric for MT Evaluation with High Levels of Correlation with Human Judgments
    • Prague, Czech Republic
    • A. Lavie and A. Agarwal, “METEOR: An Automatic Metric for MT Evaluation with High Levels of Correlation with Human Judgments,” in Proceedings of the Second Workshop on Statistical Machine Translation (WMT), Prague, Czech Republic, 2007, pp. 228-231.
    • (2007) Proceedings of the Second Workshop on Statistical Machine Translation (WMT) , pp. 228-231
    • Lavie, A.1    Agarwal, A.2
  • 6
    • 25844462266 scopus 로고    scopus 로고
    • Evaluation of Machine Translation and its Evaluation
    • New Orleans, USA
    • J. P. Turian, L. Shen, and I. D. Melamed, “Evaluation of Machine Translation and its Evaluation,” in Proceedings of the MT Summmit IX, New Orleans, USA, 2003, pp. 386-393.
    • (2003) Proceedings of the MT Summmit IX , pp. 386-393
    • Turian, J. P.1    Shen, L.2    Melamed, I. D.3
  • 9
    • 0030638031 scopus 로고    scopus 로고
    • A post-processing system to yield reduced word error rates: Recognizer output voting error reduction (ROVER)
    • Santa Barbara, USA
    • J. G. Fiscus, “A post-processing system to yield reduced word error rates: Recognizer output voting error reduction (ROVER),” in Proceedings of the IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU), Santa Barbara, USA, 1997, pp. 347-354.
    • (1997) Proceedings of the IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU) , pp. 347-354
    • Fiscus, J. G.1
  • 23
    • 84893040496 scopus 로고    scopus 로고
    • Getting Expert Quality from the Crowd for Machine Translation Evaluation
    • Xiamen, China
    • L. Bentivogli, M. Federico, G. Moretti, and M. Paul, “Getting Expert Quality from the Crowd for Machine Translation Evaluation,” in Proceedings of the MT Summmit XIII, Xiamen, China, 2011, pp. 521-528.
    • (2011) Proceedings of the MT Summmit XIII , pp. 521-528
    • Bentivogli, L.1    Federico, M.2    Moretti, G.3    Paul, M.4
  • 25
    • 80053402398 scopus 로고    scopus 로고
    • Fast, cheap, and creative: Evaluating translation quality using Amazon's Mechanical Turk
    • Singapore: Association for Computational Linguistics, August [Online]. Available
    • C. Callison-Burch, “Fast, cheap, and creative: Evaluating translation quality using Amazon's Mechanical Turk,” in Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing. Singapore: Association for Computational Linguistics, August 2009, pp. 286-295. [Online]. Available: http://www.aclweb.org/anthology/D/D09/D09-1030
    • (2009) Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing , pp. 286-295
    • Callison-Burch, C.1
  • 27
    • 3343019470 scopus 로고
    • Measuring nominal scale agreement among many raters
    • J. L. Fleiss, “Measuring nominal scale agreement among many raters,” Psychological Bulletin, vol. 76(5), 1971.
    • (1971) Psychological Bulletin , vol.76 , Issue.5
    • Fleiss, J. L.1
  • 28
    • 0017360990 scopus 로고
    • The measurement of observer agreement for categorical data
    • J. Landis and G. Koch, “The measurement of observer agreement for categorical data,” Biometrics, vol. 33 (1), pp. 159-174, 1977.
    • (1977) Biometrics , vol.33 , Issue.1 , pp. 159-174
    • Landis, J.1    Koch, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.