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Volumn 1, Issue , 2012, Pages 175-183

Fast syntactic analysis for statistical language modeling via substructure sharing and uptraining

Author keywords

[No Author keywords available]

Indexed keywords

DEPENDENCY PARSER; HILL CLIMBING; LANGUAGE MODEL; MACHINE TRANSLATIONS; PART-OF-SPEECH TAGGER; SPEED IMPROVEMENT; STATISTICAL LANGUAGE MODELING; SYNTACTIC ANALYSIS;

EID: 84876792117     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (6)

References (21)
  • 4
    • 80053411091 scopus 로고    scopus 로고
    • Discriminative syntactic language modeling for speech recognition
    • M Collins, B Roark, and M Saraclar. 2005. Discriminative syntactic language modeling for speech recognition. In ACL.
    • (2005) ACL
    • Collins, M.1    Roark, B.2    Saraclar, M.3
  • 5
    • 79959853437 scopus 로고    scopus 로고
    • A joint language model with fine-grain syntactic tags
    • Denis Filimonov and Mary Harper. 2009. A joint language model with fine-grain syntactic tags. In EMNLP.
    • (2009) EMNLP
    • Filimonov, D.1    Harper, M.2
  • 6
    • 84858415500 scopus 로고    scopus 로고
    • An efficient algorithm for easy-first non-directional dependency parsing
    • number June
    • Yoav Goldberg and Michael Elhadad. 2010. An Efficient Algorithm for Easy-First Non-Directional Dependency Parsing. In Proc. HLT-NAACL, number June, pages 742-750.
    • (2010) Proc. HLT-NAACL , pp. 742-750
    • Goldberg, Y.1    Elhadad, M.2
  • 8
    • 84859990009 scopus 로고    scopus 로고
    • Dynamic programming for linear-time incremental parsing
    • L. Huang and K. Sagae. 2010. Dynamic Programming for Linear-Time Incremental Parsing. In Proceedings of ACL.
    • (2010) Proceedings of ACL
    • Huang, L.1    Sagae, K.2
  • 9
    • 80053257514 scopus 로고    scopus 로고
    • Self-training with products of latent variable grammars
    • number October
    • Zhongqiang Huang, Mary Harper, and Slav Petrov. 2010. Self-training with Products of Latent Variable Grammars. In Proc. EMNLP, number October, pages 12- 22.
    • (2010) Proc. EMNLP , pp. 12-22
    • Huang, Z.1    Harper, M.2    Petrov, S.3
  • 10
    • 0034297742 scopus 로고    scopus 로고
    • Maximum entropy techniques for exploiting syntactic, semantic and collocational dependencies in language modeling
    • S. Khudanpur and J. Wu. 2000. Maximum entropy techniques for exploiting syntactic, semantic and collocational dependencies in language modeling. Computer Speech and Language, pages 355-372.
    • (2000) Computer Speech and Language , pp. 355-372
    • Khudanpur, S.1    Wu, J.2
  • 12
    • 0036293856 scopus 로고    scopus 로고
    • Discriminative training of language models for speech recognition
    • Hong-Kwang Jeff Kuo, Eric Fosler-Lussier, Hui Jiang, and Chin-Hui Lee. 2002. Discriminative training of language models for speech recognition. In ICASSP.
    • (2002) ICASSP
    • Kuo, H.-K.J.1    Fosler-Lussier, E.2    Jiang, H.3    Lee, C.-H.4
  • 18
    • 85036282108 scopus 로고    scopus 로고
    • A best-first probabilistic shift-reduce parser
    • Association for Computational Linguistics
    • K. Sagae and A. Lavie. 2006. A best-first probabilistic shift-reduce parser. In Proc. ACL, pages 691-698. Association for Computational Linguistics.
    • (2006) Proc. ACL , pp. 691-698
    • Sagae, K.1    Lavie, A.2
  • 19
    • 80053380720 scopus 로고    scopus 로고
    • Dependency parsing and domain adaptation with LR models and parser ensembles
    • K. Sagae and J. Tsujii. 2007. Dependency parsing and domain adaptation with LR models and parser ensembles. In Proc. EMNLP-CoNLL, volume 7, pages 1044-1050.
    • (2007) Proc. EMNLP-CoNLL , vol.7 , pp. 1044-1050
    • Sagae, K.1    Tsujii, J.2
  • 20
    • 84862300081 scopus 로고    scopus 로고
    • Learning with lookahead : Can history-based models rival globally optimized models ?
    • number June
    • Yoshimasa Tsuruoka, Yusuke Miyao, and Jun'ichi Kazama. 2011. Learning with Lookahead : Can History-Based Models Rival Globally Optimized Models ? In Proc. CoNLL, number June, pages 238- 246.
    • (2011) Proc. CoNLL , pp. 238-246
    • Tsuruoka, Y.1    Miyao, Y.2    Kazama, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.