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Volumn 2, Issue , 2010, Pages 1256-1264

Extraction of multi-word expressions from small parallel corpora

Author keywords

[No Author keywords available]

Indexed keywords

EXTRACTION ALGORITHMS; GENERAL METHODOLOGIES; MACHINE TRANSLATIONS; MULTI-WORD; PARALLEL CORPORA; SOURCE LANGUAGE;

EID: 80053395883     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (26)

References (28)
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    • Ann Arbor, Michigan, June. Association for Computational Linguistics
    • Bar-Haim, Roy, Khalil Sima'an, and Yoad Winter. 2005. Choosing an optimal architecture for segmentation and POS-tagging of Modern Hebrew. In Proceedings of the ACL Workshop on Computational Approaches to Semitic Languages, pages 39-46, Ann Arbor, Michigan, June. Association for Computational Linguistics.
    • (2005) Proceedings of the ACL Workshop on Computational Approaches to Semitic Languages , pp. 39-46
    • Bar-Haim, R.1    Sima'an, K.2    Winter, Y.3
  • 8
    • 78649257014 scopus 로고    scopus 로고
    • Extraction of translation unit from Chinese-English parallel corpora
    • Morristown, NJ, USA. Association for Computational Linguistics
    • Chang, Baobao, Pernilla Danielsson, and Wolfgang Teubert. 2002. Extraction of translation unit from Chinese-English parallel corpora. In Proceedings of the first SIGHAN workshop on Chinese language processing, pages 1-5, Morristown, NJ, USA. Association for Computational Linguistics.
    • (2002) Proceedings of the First SIGHAN Workshop on Chinese Language Processing , pp. 1-5
    • Chang, B.1    Danielsson, P.2    Teubert, W.3
  • 9
    • 0001988682 scopus 로고
    • Word association norms, mutual information and lexicography (rev)
    • Church, Kenneth W. and Patrick Hanks. 1989. Word association norms, mutual information and lexicography (rev). Computational Linguistics, 19(1):22- 29.
    • (1989) Computational Linguistics , vol.19 , Issue.1 , pp. 22-29
    • Church, K.W.1    Hanks, P.2
  • 13
    • 85187548781 scopus 로고    scopus 로고
    • Automatic identification of non-compositional multiword expressions using latent semantic analysis
    • Sydney, Australia, July. Association for Computational Linguistics
    • Katz, Graham and Eugenie Giesbrecht. 2006. Automatic identification of non-compositional multiword expressions using latent semantic analysis. In Proceedings of the Workshop on Multiword Expressions: Identifying and Exploiting Underlying Properties, pages 12-19, Sydney, Australia, July. Association for Computational Linguistics.
    • (2006) Proceedings of the Workshop on Multiword Expressions: Identifying and Exploiting Underlying Properties , pp. 12-19
    • Katz, G.1    Giesbrecht, E.2
  • 15
    • 44949230930 scopus 로고    scopus 로고
    • Europarl: A parallel corpus for statistical machine translation
    • Phuket, Thailand
    • Koehn, Philipp. 2005. Europarl: A parallel corpus for statistical machine translation. In Proceedings of the MT Summit X, Phuket, Thailand.
    • (2005) Proceedings of the MT Summit X
    • Koehn, P.1
  • 18
    • 0042879653 scopus 로고    scopus 로고
    • A systematic comparison of various statistical alignment models
    • DOI 10.1162/089120103321337421
    • Och, Franz Josef and Hermann Ney. 2003. A systematic comparison of various statistical alignment models. Computational Linguistics, 29(1):19-51. (Pubitemid 37049767)
    • (2003) Computational Linguistics , vol.29 , Issue.1 , pp. 19-51
    • Och, F.J.1    Ney, H.2
  • 21
    • 23944500289 scopus 로고    scopus 로고
    • Comparing and combining a semantic tagger and a statistical tool for MWE extraction
    • DOI 10.1016/j.csl.2004.11.002, PII S0885230805000112, Multiword Expression
    • Piao, Scott Songlin, Paul Rayson, Dawn Archer, and Tony McEnery. 2005. Comparing and combining a semantic tagger and a statistical tool for mwe extraction. Computer Speech and Language, 19(4):378- 397. (Pubitemid 41203440)
    • (2005) Computer Speech and Language , vol.19 , Issue.4 , pp. 378-397
    • Piao, S.S.1    Rayson, P.2    Archer, D.3    McEnery, T.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.