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Volumn , Issue , 2010, Pages 697-700

Integrating joint n-gram features into a discriminative training framework

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; DISCRIMINATIVE MODELS; DISCRIMINATIVE TRAINING; FEATURE SETS; N-GRAM MODELS;

EID: 84858422839     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (54)

References (11)
  • 1
    • 85009250482 scopus 로고    scopus 로고
    • Investigations on joint-multigram models for grapheme-to-phoneme conversion
    • Maximilian Bisani and Hermann Ney. 2002. Investigations on joint-multigram models for grapheme-to-phoneme conversion. In Proc. ICSLP, pages 105-108.
    • (2002) Proc. ICSLP , pp. 105-108
    • Bisani, M.1    Ney, H.2
  • 2
    • 41049105254 scopus 로고    scopus 로고
    • Jointsequence models for grapheme-to-phoneme conversion
    • Maximilian Bisani and Hermann Ney. 2008. Jointsequence models for grapheme-to-phoneme conversion. Speech Communication, 50(5):434-451.
    • (2008) Speech Communication , vol.50 , Issue.5 , pp. 434-451
    • Bisani, M.1    Ney, H.2
  • 3
    • 85009227369 scopus 로고    scopus 로고
    • Conditional and joint models for grapheme-to-phoneme conversion
    • Stanley F. Chen. 2003. Conditional and joint models for grapheme-to-phoneme conversion. In Proc. Eurospeech-2003.
    • (2003) Proc. Eurospeech-2003
    • Chen, S.F.1
  • 4
    • 0141496132 scopus 로고    scopus 로고
    • Ultraconservative online algorithms for multiclass problems
    • Koby Crammer and Yoram Singer. 2003. Ultraconservative online algorithms for multiclass problems. Journal of Machine Learning Research, 3:951-991.
    • (2003) Journal of Machine Learning Research , vol.3 , pp. 951-991
    • Crammer, K.1    Singer, Y.2
  • 5
    • 84859897171 scopus 로고    scopus 로고
    • Phonological constraints and morphological preprocessing for grapheme-to-phoneme conversion
    • Vera Demberg, Helmut Schmid, and Gregor Möhler. 2007. Phonological constraints and morphological preprocessing for grapheme-to-phoneme conversion. In Proc. ACL, pages 96-103.
    • (2007) Proc. ACL , pp. 96-103
    • Demberg, V.1    Schmid, H.2    Möhler, G.3
  • 7
    • 52149101362 scopus 로고    scopus 로고
    • Applying many-to-many alignments and hidden Markov models to letter-to-phoneme conversion
    • Sittichai Jiampojamarn, Grzegorz Kondrak, and Tarek Sherif. 2007. Applying many-to-many alignments and Hidden Markov Models to letter-to-phoneme conversion. In Proc. HLT-NAACL, pages 372-379.
    • (2007) Proc. HLT-NAACL , pp. 372-379
    • Jiampojamarn, S.1    Kondrak, G.2    Sherif, T.3
  • 8
    • 79952264781 scopus 로고    scopus 로고
    • Joint processing and discriminative training for letter-to-phoneme conversion
    • Sittichai Jiampojamarn, Colin Cherry, and Grzegorz Kondrak. 2008. Joint processing and discriminative training for letter-to-phoneme conversion. In Proc. ACL, pages 905-913.
    • (2008) Proc. ACL , pp. 905-913
    • Jiampojamarn, S.1    Cherry, C.2    Kondrak, G.3
  • 10
    • 85149114440 scopus 로고    scopus 로고
    • A joint source channel model for machine transliteration
    • Haizhou Li, Min Zhang, and Jian Su. 2004. A joint source channel model for machine transliteration. In Proc. ACL, pages 159-166.
    • (2004) Proc. ACL , pp. 159-166
    • Li, H.1    Zhang, M.2    Su, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.