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Volumn , Issue , 2010, Pages 147-152

NTT Statistical Machine Translation System for IWSLT 2010

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; COMPUTER AIDED LANGUAGE TRANSLATION;

EID: 84860648091     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (2)

References (10)
  • 1
    • 85133207149 scopus 로고    scopus 로고
    • Analysis of translation model adaptation in statistical machine translation
    • K. Duh, K. Sudoh, and H. Tsukada, “Analysis of translation model adaptation in statistical machine translation,” in Proc. IWSLT 2010.
    • (2010) Proc. IWSLT
    • Duh, K.1    Sudoh, K.2    Tsukada, H.3
  • 4
    • 84857591265 scopus 로고    scopus 로고
    • Adaptation of the translation model for statistical machine translation based on information retrieval
    • A. S. Hildebrand, M. Eck, S. Vogel, and A. Waibel, “Adaptation of the translation model for statistical machine translation based on information retrieval,” in Proc. EAMT 2005, pp. 135–142.
    • (2005) Proc. EAMT , pp. 135-142
    • Hildebrand, A. S.1    Eck, M.2    Vogel, S.3    Waibel, A.4
  • 5
    • 0142192295 scopus 로고    scopus 로고
    • Conditional random fields: Probabilistic models for segmenting and labeling sequence data
    • J. Lafferty, A. McCallum, and F. Pereira, “Conditional random fields: Probabilistic models for segmenting and labeling sequence data,” in Proc. ICML, 2001, pp. 282–289.
    • (2001) Proc. ICML , pp. 282-289
    • Lafferty, J.1    McCallum, A.2    Pereira, F.3
  • 6
    • 44849094956 scopus 로고    scopus 로고
    • Using conditional random fields for sentence boundary detection in speech
    • Y. Liu, A. Stolcke, E. Shriberg, and M. Harper, “Using conditional random fields for sentence boundary detection in speech,” in Proc. ACL, 2005, pp. 451–458.
    • (2005) Proc. ACL , pp. 451-458
    • Liu, Y.1    Stolcke, A.2    Shriberg, E.3    Harper, M.4
  • 7
    • 80053227666 scopus 로고    scopus 로고
    • Better punctuation prediction with dynamic conditional random fields
    • October
    • W. Lu and H. T. Ng, “Better punctuation prediction with dynamic conditional random fields,” in Proc. EMNLP 2010, October, pp. 177–186.
    • Proc. EMNLP 2010 , pp. 177-186
    • Lu, W.1    Ng, H. T.2
  • 8
    • 78649240693 scopus 로고    scopus 로고
    • Evaluating machine translation output with automatic sentence segmentation
    • E. Matusov, G. Leusch, O. Bender, and H. Ney, “Evaluating machine translation output with automatic sentence segmentation,” in Proc. IWSLT 2005.
    • (2005) Proc. IWSLT
    • Matusov, E.1    Leusch, G.2    Bender, O.3    Ney, H.4
  • 9
    • 84921700653 scopus 로고    scopus 로고
    • Interpreting BLEU/NIST scores: How much improvement do we need to have a better system?
    • Y. Zhang, S. Vogel, and A. Waibel, “Interpreting BLEU/NIST scores: How much improvement do we need to have a better system?” in Proc. LREC 2004, pp. 2051–2054.
    • (2004) Proc. LREC , pp. 2051-2054
    • Zhang, Y.1    Vogel, S.2    Waibel, A.3
  • 10
    • 85133185645 scopus 로고    scopus 로고
    • Divide and translate: Improving long distance rerordering in statistical machine translation
    • K. Sudoh, K. Duh, H. Tsukada, T. Hirao, and M. Nagata, “Divide and translate: Improving long distance rerordering in statistical machine translation,” in Proc. WMT-MetricsMATR, 2010.
    • (2010) Proc. WMT-MetricsMATR
    • Sudoh, K.1    Duh, K.2    Tsukada, H.3    Hirao, T.4    Nagata, M.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.