메뉴 건너뛰기




Volumn , Issue , 2014, Pages 951-962

System combination for grammatical error correction

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER AIDED LANGUAGE TRANSLATION; ERROR CORRECTION; NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84961333602     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/v1/d14-1102     Document Type: Conference Paper
Times cited : (54)

References (44)
  • 13
    • 84858115468 scopus 로고    scopus 로고
    • Helping our own: Text massaging for computational linguistics as a new shared task
    • Robert Dale and Adam Kilgarriff. 2010. Helping Our Own: Text massaging for computational linguistics as a new shared task. In Proceedings of the 6th International Natural Language Generation Conference, pages 263-267.
    • (2010) th International Natural Language Generation Conference , pp. 263-267
    • Dale, R.1    Kilgarriff, A.2
  • 18
    • 33646891498 scopus 로고    scopus 로고
    • Detecting errors in English article usage by non-native speakers
    • Na-Rae Han, Martin Chodorow, and Claudia Leacock. 2006. Detecting errors in English article usage by non-native speakers. Natural Language Engineering, 12(2):115-129.
    • (2006) Natural Language Engineering , vol.12 , Issue.2 , pp. 115-129
    • Han, N.-R.1    Chodorow, M.2    Leacock, C.3
  • 19
    • 85044881985 scopus 로고    scopus 로고
    • Combining machine translation output with open source: The Carnegie Mellon multi-engine machine translation scheme
    • Kenneth Heafield and Alon Lavie. 2010. Combining machine translation output with open source: The Carnegie Mellon multi-engine machine translation scheme. The Prague Bulletin of Mathematical Linguistics, 93:27-36.
    • (2010) The Prague Bulletin of Mathematical Linguistics , vol.93 , pp. 27-36
    • Heafield, K.1    Lavie, A.2
  • 31
    • 85101305674 scopus 로고    scopus 로고
    • Discriminative training and maximum entropy models for statistical machine translation
    • Franz Josef Och and Hermann Ney. 2002. Discriminative training and maximum entropy models for statistical machine translation. In Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, pages 295-302.
    • (2002) thAnnual Meeting of the Association for Computational Linguistics , pp. 295-302
    • Och, F.J.1    Ney, H.2
  • 32
    • 0042879653 scopus 로고    scopus 로고
    • A systematic comparison of various statistical alignment models
    • Franz Josef Och and Hermann Ney. 2003. A systematic comparison of various statistical alignment models. Computational Linguistics, 29(1):19-51.
    • (2003) Computational Linguistics , vol.29 , Issue.1 , pp. 19-51
    • Och, F.J.1    Ney, H.2
  • 44
    • 85050418554 scopus 로고    scopus 로고
    • Z-MERT: A fully configurable open source tool for minimum error rate training of machine translation systems
    • Omar Zaidan. 2009. Z-MERT: A fully configurable open source tool for minimum error rate training of machine translation systems. The Prague Bulletin of Mathematical Linguistics, 91:79-88.
    • (2009) The Prague Bulletin of Mathematical Linguistics , vol.91 , pp. 79-88
    • Zaidan, O.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.