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Volumn , Issue , 2009, Pages 1507-1512

Web-scale n-gram models for lexical disambiguation

Author keywords

[No Author keywords available]

Indexed keywords

CONTEXT SENSITIVE; DIVERSE RANGE; LEXICAL DISAMBIGUATION; N-GRAM MODELS; SPELLING CORRECTION; STATE OF THE ART; SUPERVISED SYSTEMS;

EID: 78649231706     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (70)

References (19)
  • 1
    • 0345570094 scopus 로고    scopus 로고
    • Scaling to very very large corpora for natural language disambiguation
    • Michele Banko and Eric Brill. Scaling to very very large corpora for natural language disambiguation. In ACL, pages 26-33, 2001.
    • (2001) ACL , pp. 26-33
    • Banko, M.1    Brill, E.2
  • 2
    • 84859913623 scopus 로고    scopus 로고
    • Distributional identification of non-referential pronouns
    • Shane Bergsma, Dekang Lin, and Randy Goebel. Distributional identification of non-referential pronouns. In ACL, pages 10-18, 2008.
    • (2008) ACL , pp. 10-18
    • Bergsma, S.1    Lin, D.2    Goebel, R.3
  • 3
    • 80053375619 scopus 로고    scopus 로고
    • Large language models in machine translation
    • Thorsten Brants, Ashok C. Popat, Peng Xu, Franz J. Och, and Jeffrey Dean. Large language models in machine translation. In EMNLP, pages 858-867, 2007.
    • (2007) EMNLP , pp. 858-867
    • Brants, T.1    Popat, A.C.2    Xu, P.3    Och, F.J.4    Dean, J.5
  • 4
    • 0035740487 scopus 로고    scopus 로고
    • Scaling up context-sensitive text correction
    • Andrew J. Carlson, Jeffrey Rosen, and Dan Roth. Scaling up context-sensitive text correction. In AAAI/IAAI, pages 45-50, 2001.
    • (2001) AAAI/IAAI , pp. 45-50
    • Carlson, A.J.1    Rosen, J.2    Roth, D.3
  • 9
    • 0032662978 scopus 로고    scopus 로고
    • A Winnow-based approach to context-sensitive spelling correction
    • Andrew R. Golding and Dan Roth. A Winnow-based approach to context-sensitive spelling correction. Machine Learning, 34(1-3):107-130, 1999.
    • (1999) Machine Learning , vol.34 , Issue.1-3 , pp. 107-130
    • Golding, A.R.1    Roth, D.2
  • 10
    • 34047135006 scopus 로고    scopus 로고
    • Googleology is bad science
    • Adam Kilgarriff. Googleology is bad science. Computational Linguistics, 33(1):147-151, 2007.
    • (2007) Computational Linguistics , vol.33 , Issue.1 , pp. 147-151
    • Kilgarriff, A.1
  • 12
    • 80053246213 scopus 로고    scopus 로고
    • SemEval-2007 Task 06: Word-sense disambiguation of prepositions
    • Ken Litkowski and Orin Hargraves. SemEval-2007 Task 06: Word-sense disambiguation of prepositions. In SemEval, pages 24-29, 2007.
    • (2007) SemEval , pp. 24-29
    • Litkowski, K.1    Hargraves, O.2
  • 13
    • 47349129451 scopus 로고    scopus 로고
    • Web text corpus for natural language processing
    • Vinci Liu and James R. Curran. Web text corpus for natural language processing. In EACL, pages 233-240, 2006.
    • (2006) EACL , pp. 233-240
    • Liu, V.1    Curran, J.R.2
  • 14
    • 33749541689 scopus 로고    scopus 로고
    • A method for word sense disambiguation of unrestricted text
    • Rada Mihalcea and Dan I. Moldovan. A method for word sense disambiguation of unrestricted text. In ACL, pages 152-158, 1999.
    • (1999) ACL , pp. 152-158
    • Mihalcea, R.1    Moldovan, D.I.2
  • 15
    • 0031632815 scopus 로고    scopus 로고
    • Learning to resolve natural language ambiguities: A unified approach
    • Dan Roth. Learning to resolve natural language ambiguities: A unified approach. In AAAI/IAAI, pages 806-813, 1998.
    • (1998) AAAI/IAAI , pp. 806-813
    • Roth, D.1
  • 16
    • 78651280222 scopus 로고    scopus 로고
    • The ups and downs of preposition error detection in ESL writing
    • Joel R. Tetreault and Martin Chodorow. The ups and downs of preposition error detection in ESL writing. In COLING, 2008.
    • (2008) COLING
    • Tetreault, J.R.1    Chodorow, M.2
  • 17
    • 14344250451 scopus 로고    scopus 로고
    • Support vector machine learning for interdependent and structured output spaces
    • Ioannis Tsochantaridis, Thomas Hofmann, Thorsten Joachims, and Yasemin Altun. Support vector machine learning for interdependent and structured output spaces. In ICML, 2004.
    • (2004) ICML
    • Tsochantaridis, I.1    Hofmann, T.2    Joachims, T.3    Altun, Y.4
  • 18
    • 49949093879 scopus 로고    scopus 로고
    • Real-word spelling correction with trigrams: A reconsideration of the Mays, Damerau, and Mercer model
    • Amber Wilcox-O'Hearn, Graeme Hirst, and Alexander Budanitsky. Real-word spelling correction with trigrams: A reconsideration of the Mays, Damerau, and Mercer model. In CICLing, pages 605-616, 2008.
    • (2008) CICLing , pp. 605-616
    • Wilcox-O'Hearn, A.1    Hirst, G.2    Budanitsky, A.3
  • 19
    • 84975293364 scopus 로고
    • Decision lists for lexical ambiguity resolution: Application to accent restoration in spanish and french
    • David Yarowsky. Decision lists for lexical ambiguity resolution: application to accent restoration in spanish and french. In ACL, pages 88-95, 1994.
    • (1994) ACL , pp. 88-95
    • Yarowsky, D.1


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