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Volumn , Issue , 2010, Pages 3375-3378

A dataset for assessing machine translation evaluation metrics

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; COMPUTER AIDED LANGUAGE TRANSLATION; LEARNING SYSTEMS; STATISTICAL TESTS;

EID: 85037329553     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (27)

References (21)
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    • J. Cohen. 1960. A coefficient of agreement for nominal scales. Educational and Psychological Measurement, 20(1):37-46, April.
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    • Cohen, J.1
  • 6
    • 15744403523 scopus 로고    scopus 로고
    • Automatic evaluation of Machine translation quality using N-gram co-occurrence statistics
    • San Diego
    • G. Doddington. 2002. Automatic Evaluation of Machine Translation Quality Using N-gram Co-occurrence Statistics. In 2nd Conference on Human Language Technology Research, pages 138-145, San Diego.
    • (2002) 2nd Conference on Human Language Technology Research , pp. 138-145
    • Doddington, G.1
  • 9
    • 78650048351 scopus 로고    scopus 로고
    • Sinuhe - Statistical Machine translation using a globally trained conditional exponential family translation model
    • Singapore
    • M. Kääriäinen. 2009. Sinuhe - Statistical Machine Translation using a Globally Trained Conditional Exponential Family Translation Model. In Conference on Empirical Methods in Natural Language Processing, pages 1027-1036, Singapore.
    • (2009) Conference on Empirical Methods in Natural Language Processing , pp. 1027-1036
    • Kääriäinen, M.1
  • 11
    • 44949230930 scopus 로고    scopus 로고
    • Europarl: A parallel corpus for statistical Machine translation
    • P. Koehn. 2005. Europarl: A Parallel Corpus for Statistical Machine Translation. In MT Summit.
    • (2005) MT Summit
    • Koehn, P.1
  • 12
    • 0017360990 scopus 로고
    • The measurement of observer agreement for categorical data
    • R. J. Landis and G. G. Koch. 1977. The Measurement of Observer Agreement for Categorical Data. Biometrics, 33(1):159-174.
    • (1977) Biometrics , vol.33 , Issue.1 , pp. 159-174
    • Landis, R.J.1    Koch, G.G.2
  • 13
    • 85120046073 scopus 로고    scopus 로고
    • METEOR: An automatic metric for MT evaluation with high levels of correlation with human judgments
    • Prague
    • A. Lavie and A. Agarwal. 2007. METEOR: An Automatic Metric for MT Evaluation with High Levels of Correlation with Human Judgments. In 2nd Workshop on Statistical Machine Translation, pages 228-231, Prague.
    • (2007) 2nd Workshop on Statistical Machine Translation , pp. 228-231
    • Lavie, A.1    Agarwal, A.2
  • 14
    • 85037334394 scopus 로고    scopus 로고
    • ORANGE: A method for evaluating automatic evaluation metrics for Machine translation
    • Geneva
    • C. Y. Lin and F. J. Och. 2004. ORANGE: a Method for Evaluating Automatic Evaluation Metrics for Machine Translation. In Coling-2004, pages 501-507, Geneva.
    • (2004) Coling-2004 , pp. 501-507
    • Lin, C.Y.1    Och, F.J.2
  • 16
    • 84913622029 scopus 로고    scopus 로고
    • Training a sentence-level Machine translation confidence measure
    • Lisbon
    • C. B. Quirk. 2004. Training a Sentence-Level Machine Translation Confidence Measure. In 4th Conference on Language Resources and Evaluation, pages 825-828, Lisbon.
    • (2004) 4th Conference on Language Resources and Evaluation , pp. 825-828
    • Quirk, C.B.1
  • 21
    • 0001681052 scopus 로고
    • The co-variance problem in linear regression. The partial Least squares (PLS) approach to generalized inverses
    • S. Wold, A. Ruhe, H. Wold, and W. J. Dunn. 1984. The Co-variance Problem in Linear Regression. The Partial Least Squares (PLS) Approach to Generalized Inverses. SIAM Journal on Scientific Computing, 5:735-743.
    • (1984) SIAM Journal on Scientific Computing , vol.5 , pp. 735-743
    • Wold, S.1    Ruhe, A.2    Wold, H.3    Dunn, W.J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.