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Volumn , Issue , 2010, Pages

Synergies in learning words and their referents

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NONPARAMETRICS; EMBEDDINGS; LANGUAGE ACQUISITION; LEARN+; LINGUISTIC INFORMATION; NON-PARAMETRIC MODEL; PHONEME STRINGS; SYNERGISTIC INTERACTION; TOPIC MODELING; WORD SEGMENTATION;

EID: 85161968252     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (26)

References (19)
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    • Finding structure in time
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    • Elman, J.1
  • 5
    • 0030256302 scopus 로고    scopus 로고
    • Distributional regularity and phonotactic constraints are useful for segmentation
    • M. Brent and T. Cartwright. Distributional regularity and phonotactic constraints are useful for segmentation. Cognition, 61:93-125, 1996.
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    • Brent, M.1    Cartwright, T.2
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    • M. Brent. An efficient, probabilistically sound algorithm for segmentation and word discovery. Machine Learning, 34:71-105, 1999.
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    • Brent, M.1
  • 7
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    • Using speakers' referential intentions to model early cross-situational word learning
    • Michael C. Frank, Noah Goodman, and Joshua Tenenbaum. Using speakers' referential intentions to model early cross-situational word learning. Psychological Science, 20:579-585, 2009.
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    • Frank, M.C.1    Goodman, N.2    Tenenbaum, J.3
  • 9
    • 67349278780 scopus 로고    scopus 로고
    • A Bayesian framework for word segmentation: Exploring the effects of context
    • Sharon Goldwater, Thomas L. Griffiths, and Mark Johnson. A Bayesian framework for word segmentation: Exploring the effects of context. Cognition, 112(1):21-54, 2009.
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    • Adaptor Grammars: A framework for specifying compositional nonparametric Bayesian models
    • B. Schölkopf, J. Platt, and T. Hoffman, editors, MIT Press, Cambridge, MA
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    • Johnson, M.1    Griffiths, T.L.2    Goldwater, S.3
  • 12
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    • Using adaptor grammars to identifying synergies in the unsupervised acquisition of linguistic structure
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.