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Volumn , Issue , 2005, Pages 271-279

Considerations in maximum mutual information and minimum classification error training for statistical machine translation

Author keywords

[No Author keywords available]

Indexed keywords

ADDITIONAL KNOWLEDGE; COMPARATIVE STUDIES; CURRENT TRENDS; DISCRIMINATIVE TRAINING; MAXIMUM MUTUAL INFORMATION; MINIMUM CLASSIFICATION ERROR TRAINING; N-BEST LIST; OPTIMIZATION METHOD; STATISTICAL MACHINE TRANSLATION; TRANSLATION PROCESS; VITERBI;

EID: 84857582519     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (13)

References (15)
  • 2
    • 15744403523 scopus 로고    scopus 로고
    • Automatic evaluation of machine translation quality using n-gram cooccurrence statistics
    • Englewood Cliffs, NJ
    • George DODDINGTON. 2002. Automatic evaluation of machine translation quality using n-gram cooccurrence statistics, In Proc. ARPA Workshop on Human Language Technology, Englewood Cliffs, NJ.
    • (2002) Proc. ARPA Workshop on Human Language Technology
    • Doddington, G.1
  • 3
    • 0141524308 scopus 로고    scopus 로고
    • Bleu: A method for automatic evaluation of machine translation
    • Thomas J. Watson Research Center, Yorktown Heights, NY
    • Kishore A. PAPENENI, Salim ROUKOS, Todd WARD, and Wei-Jing ZHU. 2001. Bleu: a method for automatic evaluation of machine translation, Technical Report RC 22176, IBM Research Division, Thomas J. Watson Research Center, Yorktown Heights, NY
    • (2001) Technical Report RC 22176, IBM Research Division
    • Papeneni, K.A.1    Roukos, S.2    Ward, T.3    Zhu, W.-J.4
  • 7
    • 0035341170 scopus 로고    scopus 로고
    • Modelbased MCE bound to the true bayes error
    • May
    • Ralf SCHLUETER and Hermann NEY. 2001. Modelbased MCE bound to the true Bayes error. IEEE Signal Processing Letters 8(5):131-133, May
    • (2001) IEEE Signal Processing Letters , vol.8 , Issue.5 , pp. 131-133
    • Schlueter, R.1    Ney, H.2
  • 8
    • 70350346892 scopus 로고
    • Use of distance features, information measures and error bounds in feature evaluation
    • P.R Krishnaiah and L.N. Kanal, Eds, Amsterdam, The Netherlands: North Holland
    • M. BEN-BASSAT. 1982. Use of Distance Features, information measures and error bounds in feature evaluation. Handbook of Statistics, P.R Krishnaiah and L.N. Kanal, Eds, Amsterdam, The Netherlands: North Holland vol 2 p773-791
    • (1982) Handbook of Statistics , vol.2 , pp. 773-791
    • Ben-Bassat, M.1
  • 9
    • 0026982122 scopus 로고
    • Discriminative learning for minimum error classification
    • Dec
    • B. H. HUANG and S. KATAGIRI. 1992. Discriminative learning for minimum error classification. IEEE Trans. Signal Processing vol 40 p3043-3054, Dec
    • (1992) IEEE Trans. Signal Processing , vol.40 , pp. 3043-3054
    • Huang, B.H.1    Katagiri, S.2
  • 13
    • 25144509230 scopus 로고    scopus 로고
    • Improvements in phrase-based statistical machine translation
    • Edmonton, Canada
    • Richard ZENS, Hermann NEY. 2003. Improvements in Phrase-based Statistical Machine Translation. Human Language Technology Conference, Edmonton, Canada
    • (2003) Human Language Technology Conference
    • Zens, R.1    Ney, H.2
  • 15
    • 57249091056 scopus 로고    scopus 로고
    • Measuring confidence intervals for machine translation evaluation
    • Baltimore, MD October
    • Ying ZHANG, Stephan VOGEL, 2004. Measuring Confidence Intervals for Machine Translation Evaluation. TMI, 2004, Baltimore, MD October
    • (2004) TMI, 2004
    • Zhang, Y.1    Vogel, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.