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Volumn , Issue , 2010, Pages 49-57

Factors Affecting the Accuracy of Korean Parsing

Author keywords

[No Author keywords available]

Indexed keywords

FREE WORD ORDER; TREEBANKS;

EID: 85096077721     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (18)

References (28)
  • 1
    • 0009626003 scopus 로고    scopus 로고
    • What is the minimal set of fragments that achieves maximal parse accuracy?
    • Toulouse, France, July
    • Rens Bod. 2001. What is the minimal set of fragments that achieves maximal parse accuracy? In Proc. ACL, Toulouse, France, July.
    • (2001) Proc. ACL
    • Bod, Rens1
  • 3
    • 84907334477 scopus 로고    scopus 로고
    • Statistical parsing with an automatically-extracted tree adjoining grammar
    • Hong Kong
    • David Chiang. 2000. Statistical parsing with an automatically-extracted tree adjoining grammar. In Proc. ACL, Hong Kong.
    • (2000) Proc. ACL
    • Chiang, David1
  • 5
    • 0000113471 scopus 로고    scopus 로고
    • Three penerative, lexicalised models for statistical parsing
    • Michael Collins. 1997. Three penerative, lexicalised models for statistical parsing. In Proc. ACL/EACL.
    • (1997) Proc. ACL/EACL.
    • Collins, Michael1
  • 6
    • 0001120413 scopus 로고
    • A Bayesian analysis of some nonparametric problems
    • Thomas S. Ferguson. 1973. A Bayesian analysis of some nonparametric problems. Annals of Mathematical Statistics, 1(2):209-230.
    • (1973) Annals of Mathematical Statistics , vol.1 , Issue.2 , pp. 209-230
    • Ferguson, Thomas S.1
  • 7
    • 21144453389 scopus 로고    scopus 로고
    • A morphological tagger for Korean: Statistical tagging combined with corpus-based morphological rule application
    • Chung-Hye Han and Martha Palmer. 2004. A morphological tagger for Korean: Statistical tagging combined with corpus-based morphological rule application. Machine Translation, 18(4):275-297.
    • (2004) Machine Translation , vol.18 , Issue.4 , pp. 275-297
    • Han, Chung-Hye1    Palmer, Martha2
  • 11
    • 85096041986 scopus 로고    scopus 로고
    • Rapid parser development: a machine learning approach for Korean
    • May
    • Ulf Hermjakob. 2000. Rapid parser development: a machine learning approach for Korean. In Proc. NAACL, pages 118-123, May.
    • (2000) Proc. NAACL , pp. 118-123
    • Hermjakob, Ulf1
  • 12
    • 0005921873 scopus 로고    scopus 로고
    • PCFG models of linguistic tree representations
    • Mark Johnson. 1998. PCFG models of linguistic tree representations. Computational Linguistics, 24(4):613-632.
    • (1998) Computational Linguistics , vol.24 , Issue.4 , pp. 613-632
    • Johnson, Mark1
  • 13
    • 33646427669 scopus 로고    scopus 로고
    • Tree-local MCTAG with shared nodes: Word order variation in German and Korean
    • Vancouver, May
    • Laura Kallmeyer and SinWon Yoon. 2004. Tree-local MCTAG with shared nodes: Word order variation in German and Korean. In Proc. TAG+7, Vancouver, May.
    • (2004) Proc. TAG+7
    • Kallmeyer, Laura1    Yoon, SinWon2
  • 16
    • 37149016161 scopus 로고    scopus 로고
    • Hidden markov model-based Korean part-of-speech tagging considering high agglutinativity, word-spacing, and lexical correlativity
    • Sang-zoo Lee, Jun-ichi Tsujii, and Hae-Chang Rim. 2000. Hidden markov model-based Korean part-of-speech tagging considering high agglutinativity, word-spacing, and lexical correlativity. In Proc. ACL.
    • (2000) Proc. ACL.
    • Lee, Sang-zoo1    Tsujii, Jun-ichi2    Rim, Hae-Chang3
  • 17
    • 85145007596 scopus 로고
    • Statistical decision-tree models for parsing
    • David M. Magerman. 1995. Statistical decision-tree models for parsing. In Proc. ACL.
    • (1995) Proc. ACL.
    • Magerman, David M.1
  • 22
    • 36348934026 scopus 로고    scopus 로고
    • Learning accurate, compact, and interpretable tree annotation
    • Sydney, Australia, July
    • Slav Petrov, Leon Barrett, Romain Thibaux, and Dan Klein. 2006. Learning accurate, compact, and interpretable tree annotation. In Proc. COLING/ACL, Sydney, Australia, July.
    • (2006) Proc. COLING/ACL
    • Petrov, Slav1    Barrett, Leon2    Thibaux, Romain3    Klein, Dan4
  • 23
    • 79551489970 scopus 로고    scopus 로고
    • Bayesian learning of a tree substitution grammar
    • Singapore, Singapore, August
    • Matt Post and Daniel Gildea. 2009. Bayesian learning of a tree substitution grammar. In Proc. ACL, Singapore, Singapore, August.
    • (2009) Proc. ACL
    • Post, Matt1    Gildea, Daniel2
  • 24
    • 33646395926 scopus 로고    scopus 로고
    • Inducing head-driven PCFGs with latent heads: Refining a tree-bank grammar for parsing
    • Detlef Prescher. 2005. Inducing head-driven PCFGs with latent heads: Refining a tree-bank grammar for parsing. Machine Learning: ECML 2005, pages 292-304.
    • (2005) Machine Learning: ECML 2005 , pp. 292-304
    • Prescher, Detlef1
  • 25
    • 0028550561 scopus 로고
    • Word order variation and tree-adjoining grammar
    • Owen Rambow and Young-Suk Lee. 1994. Word order variation and tree-adjoining grammar. Computational Intelligence, 10:386-400.
    • (1994) Computational Intelligence , vol.10 , pp. 386-400
    • Rambow, Owen1    Lee, Young-Suk2
  • 28
    • 85096044143 scopus 로고    scopus 로고
    • Statistical morphological tagging and parsing of Korean with an LTAG grammar
    • Anoop Sarkar and Chung-hye Han. 2002. Statistical morphological tagging and parsing of Korean with an LTAG grammar. In Proc. TAG+6.
    • (2002) Proc. TAG+6
    • Sarkar, Anoop1    Han, Chung-hye2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.