-
1
-
-
8344290376
-
Early language acquisition: Cracking the speech code
-
Patricia K. Kuhl. Early language acquisition: Cracking the speech code. Nature Reviews Neuroscience, 5:831-843, 2004.
-
(2004)
Nature Reviews Neuroscience
, vol.5
, pp. 831-843
-
-
Kuhl, P.K.1
-
2
-
-
34247182048
-
Can infants map meaning to newly segmented words? Statistical segmentation and word learning
-
Katharine Graf Estes, Julia L. Evans, Martha W. Alibali, and Jenny R. Saffran. Can infants map meaning to newly segmented words? statistical segmentation and word learning. Psychological Science, 18(3):254-260, 2007.
-
(2007)
Psychological Science
, vol.18
, Issue.3
, pp. 254-260
-
-
Estes, K.G.1
Evans, J.L.2
Alibali, M.W.3
Saffran, J.R.4
-
3
-
-
58149409989
-
An interactive activation model of context effects in letter perception
-
James L. McClelland and David E. Rummelhart. An interactive activation model of context effects in letter perception. Psychological Review, 88(5):375-407, 1981.
-
(1981)
Psychological Review
, vol.88
, Issue.5
, pp. 375-407
-
-
McClelland, J.L.1
Rummelhart, D.E.2
-
4
-
-
26444565569
-
Finding structure in time
-
Jeffrey Elman. Finding structure in time. Cognitive Science, 14:197-211, 1990.
-
(1990)
Cognitive Science
, vol.14
, pp. 197-211
-
-
Elman, J.1
-
5
-
-
0030256302
-
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.
-
(1996)
Cognition
, vol.61
, pp. 93-125
-
-
Brent, M.1
Cartwright, T.2
-
6
-
-
0032677683
-
An efficient probabilistically sound algorithm for segmentation and word discovery
-
M. Brent. An efficient, probabilistically sound algorithm for segmentation and word discovery. Machine Learning, 34:71-105, 1999.
-
(1999)
Machine Learning
, vol.34
, pp. 71-105
-
-
Brent, M.1
-
7
-
-
65549154920
-
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.
-
(2009)
Psychological Science
, vol.20
, pp. 579-585
-
-
Frank, M.C.1
Goodman, N.2
Tenenbaum, J.3
-
8
-
-
84863393768
-
Learning words and their meanings from unsegmented child-directed speech
-
Los Angeles, California, June. Association for Computational Linguistics
-
Bevan K. Jones, Mark Johnson, and Michael C. Frank. Learning words and their meanings from unsegmented child-directed speech. In Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, pages 501-509, Los Angeles, California, June 2010. Association for Computational Linguistics.
-
(2010)
Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
, pp. 501-509
-
-
Jones, B.K.1
Johnson, M.2
Frank, M.C.3
-
9
-
-
67349278780
-
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.
-
(2009)
Cognition
, vol.112
, Issue.1
, pp. 21-54
-
-
Goldwater, S.1
Griffiths, T.L.2
Johnson, M.3
-
10
-
-
33749249312
-
Hierarchical Dirichlet processes
-
Y. W. Teh, M. Jordan, M. Beal, and D. Blei. Hierarchical Dirichlet processes. Journal of the American Statistical Association, 101:1566-1581, 2006.
-
(2006)
Journal of the American Statistical Association
, vol.101
, pp. 1566-1581
-
-
Teh, Y.W.1
Jordan, M.2
Beal, M.3
Blei, D.4
-
11
-
-
67349214856
-
Adaptor Grammars: A framework for specifying compositional nonparametric Bayesian models
-
B. Schölkopf, J. Platt, and T. Hoffman, editors, MIT Press, Cambridge, MA
-
Mark Johnson, Thomas L. Griffiths, and Sharon Goldwater. Adaptor Grammars: A framework for specifying compositional nonparametric Bayesian models. In B. Schölkopf, J. Platt, and T. Hoffman, editors, Advances in Neural Information Processing Systems 19, pages 641-648. MIT Press, Cambridge, MA, 2007.
-
(2007)
Advances in Neural Information Processing Systems
, vol.19
, pp. 641-648
-
-
Johnson, M.1
Griffiths, T.L.2
Goldwater, S.3
-
12
-
-
84858427431
-
Using adaptor grammars to identifying synergies in the unsupervised acquisition of linguistic structure
-
Columbus, Ohio, Association for Computational Linguistics
-
Mark Johnson. Using adaptor grammars to identifying synergies in the unsupervised acquisition of linguistic structure. In Proceedings of the 46th Annual Meeting of the Association of Computational Linguistics, Columbus, Ohio, 2008. Association for Computational Linguistics.
-
(2008)
Proceedings of the 46th Annual Meeting of the Association of Computational Linguistics
-
-
Johnson, M.1
-
14
-
-
85118448340
-
PCFGs, topic models, adaptor grammars and learning topical collocations and the structure of proper names
-
Uppsala, Sweden, July. Association for Computational Linguistics
-
Mark Johnson. PCFGs, topic models, adaptor grammars and learning topical collocations and the structure of proper names. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pages 1148-1157, Uppsala, Sweden, July 2010. Association for Computational Linguistics.
-
(2010)
Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
, pp. 1148-1157
-
-
Johnson, M.1
-
16
-
-
84858420212
-
Variational inference for adaptor grammars
-
Los Angeles, California, June. Association for Computational Linguistics
-
Shay B. Cohen, David M. Blei, and Noah A. Smith. Variational inference for adaptor grammars. In Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, pages 564-572, Los Angeles, California, June 2010. Association for Computational Linguistics.
-
(2010)
Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
, pp. 564-572
-
-
Cohen, S.B.1
Blei, D.M.2
Smith, N.A.3
-
18
-
-
84863393622
-
Bayesian inference for PCFGs via Markov chain Monte Carlo
-
Rochester, New York, April. Association for Computational Linguistics
-
Mark Johnson, Thomas Griffiths, and Sharon Goldwater. Bayesian inference for PCFGs via Markov chain Monte Carlo. In Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Proceedings of the Main Conference, pages 139-146, Rochester, New York, April 2007. Association for Computational Linguistics.
-
(2007)
Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Proceedings of the Main Conference
, pp. 139-146
-
-
Johnson, M.1
Griffiths, T.2
Goldwater, S.3
-
19
-
-
0027621370
-
Common themes and cultural variations in Japanese and American mothers' speech to infants
-
Anne Fernald and Hiromi Morikawa. Common themes and cultural variations in Japanese and American mothers' speech to infants. Child Development, 64(3):637-656, 1993.
-
(1993)
Child Development
, vol.64
, Issue.3
, pp. 637-656
-
-
Fernald, A.1
Morikawa, H.2
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