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Volumn 2010-July, Issue , 2010, Pages 854-864

Bucking the trend: Large-scale cost-focused active learning for statistical machine translation

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTATIONAL LINGUISTICS; MACHINE TRANSLATION; NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 85118436860     PISSN: 0736587X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (19)

References (29)
  • 2
    • 0345570094 scopus 로고    scopus 로고
    • Scaling to very very large corpora for natural language disambiguation
    • Toulouse, France, July. Association for Computational Linguistics
    • Michele Banko and Eric Brill. 2001. Scaling to very very large corpora for natural language disambiguation. In Proceedings of 39th Annual Meeting of the Association for Computational Linguistics, pages 26-33, Toulouse, France, July. Association for Computational Linguistics.
    • (2001) Proceedings of 39th Annual Meeting of the Association for Computational Linguistics , pp. 26-33
    • Banko, Michele1    Brill, Eric2
  • 5
    • 84858247890 scopus 로고    scopus 로고
    • A method for stopping active learning based on stabilizing predictions and the need for user-adjustable stopping
    • a pages Boulder, Colorado, June. Association for Computational Linguistics
    • Michael Bloodgood and K Vijay-Shanker. 2009a. A method for stopping active learning based on stabilizing predictions and the need for user-adjustable stopping. In Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL-2009), pages 39-47, Boulder, Colorado, June. Association for Computational Linguistics.
    • (2009) Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL-2009) , pp. 39-47
    • Bloodgood, Michael1    Vijay-Shanker, K2
  • 8
    • 34347360650 scopus 로고    scopus 로고
    • Hierarchical phrase-based translation
    • David Chiang. 2007. Hierarchical phrase-based translation. Computational Linguistics, 33(2):201-228.
    • (2007) Computational Linguistics , vol.33 , Issue.2 , pp. 201-228
    • Chiang, David1
  • 10
    • 84859890788 scopus 로고    scopus 로고
    • Assessing the costs of sampling methods in active learning for annotation
    • Columbus, Ohio, June. Association for Computational Linguistics
    • Robbie Haertel, Eric Ringger, Kevin Seppi, James Carroll, and Peter McClanahan. 2008. Assessing the costs of sampling methods in active learning for annotation. In Proceedings of ACL-08: HLT, Short Papers, pages 65-68, Columbus, Ohio, June. Association for Computational Linguistics.
    • (2008) Proceedings of ACL-08: HLT, Short Papers , pp. 65-68
    • Haertel, Robbie1    Ringger, Eric2    Seppi, Kevin3    Carroll, James4    McClanahan, Peter5
  • 13
    • 26844437458 scopus 로고    scopus 로고
    • Sample selection for statistical grammar induction
    • Hinrich Schütze and Keh-Yih Su, editors, pages Association for Computational Linguistics, Somerset, New Jersey
    • Rebecca Hwa. 2000. Sample selection for statistical grammar induction. In Hinrich Schütze and Keh-Yih Su, editors, Proceedings of the 2000 Joint SIG-DAT Conference on Empirical Methods in Natural Language Processing, pages 45-53. Association for Computational Linguistics, Somerset, New Jersey.
    • (2000) Proceedings of the 2000 Joint SIG-DAT Conference on Empirical Methods in Natural Language Processing , pp. 45-53
    • Hwa, Rebecca1
  • 20
    • 84862273760 scopus 로고    scopus 로고
    • Ensemble-based active learning for parse selection
    • Daniel Marcu Susan Dumais and Salim Roukos, editors, pages Boston, Massachusetts, USA, May 2 May 7. Association for Computational Linguistics
    • Miles Osborne and Jason Baldridge. 2004. Ensemble-based active learning for parse selection. In Daniel Marcu Susan Dumais and Salim Roukos, editors, HLT-NAACL 2004: Main Proceedings, pages 89-96, Boston, Massachusetts, USA, May 2 - May 7. Association for Computational Linguistics.
    • (2004) HLT-NAACL 2004: Main Proceedings , pp. 89-96
    • Osborne, Miles1    Baldridge, Jason2
  • 22
    • 10044241417 scopus 로고    scopus 로고
    • An empirical study of active learning with support vector machines for japanese word segmentation
    • Morristown, NJ, USA. Association for Computational Linguistics
    • Manabu Sassano. 2002. An empirical study of active learning with support vector machines for japanese word segmentation. In ACL'02: Proceedings of the 40th Annual Meeting on Association for Computational Linguistics, pages 505-512, Morristown, NJ, USA. Association for Computational Linguistics.
    • (2002) ACL'02: Proceedings of the 40th Annual Meeting on Association for Computational Linguistics , pp. 505-512
    • Sassano, Manabu1
  • 23
    • 0007696417 scopus 로고    scopus 로고
    • Less is more: Active learning with support vector machines
    • Morgan Kaufmann, San Francisco, CA
    • Greg Schohn and David Cohn. 2000. Less is more: Active learning with support vector machines. In Proc. 17th International Conf. on Machine Learning, pages 839-846. Morgan Kaufmann, San Francisco, CA.
    • (2000) Proc. 17th International Conf. on Machine Learning , pp. 839-846
    • Schohn, Greg1    Cohn, David2
  • 26
    • 0042868698 scopus 로고    scopus 로고
    • Support vector machine active learning with applications to text classification
    • Simon Tong and Daphne Koller. 2002. Support vector machine active learning with applications to text classification. Journal of Machine Learning Research (JMLR), 2:45-66.
    • (2002) Journal of Machine Learning Research (JMLR) , vol.2 , pp. 45-66
    • Tong, Simon1    Koller, Daphne2
  • 28
    • 40149096977 scopus 로고    scopus 로고
    • A stopping criterion for active learning
    • Andreas Vlachos. 2008. A stopping criterion for active learning. Computer Speech and Language, 22(3):295-312.
    • (2008) Computer Speech and Language , vol.22 , Issue.3 , pp. 295-312
    • Vlachos, Andreas1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.