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Hits 21 – 40 of 79

21	Learning words and their meanings from unsegmented child-directed speech
	Bevan K. Jones; Mark Johnson; Michael C. Frank
	In: http://langcog.stanford.edu/papers/JJF-naacl2010.pdf (2010)
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22	Learning words and their meanings from unsegmented child-directed speech
	Bevan K. Jones; Mark Johnson; Michael C. Frank
	In: http://www.aclweb.org/anthology-new/N/N10/N10-1074.pdf (2010)
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23	Contributions of prosodic and distributional features of caregivers’ speech in early word learning
	Soroush Vosoughi; On C. Roy; Michael C. Frank...
	In: http://web.media.mit.edu/%7Edkroy/papers/pdf/vosoughi_2_05.pdf (2010)
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24	Learning words and their meanings from unsegmented child-directed speech
	Bevan K Jones; Mark Johnson; Michael C Frank
	In: http://www.socsci.uci.edu/%7Elpearl/colareadinggroup/readings/JonesJohnsonFrank2010_WordsMeaningsUnsegSpeech.pdf (2010)
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25	Cross-situational word learning respects mutual exclusivity
	Denise Ichinco; Michael C. Frank; Rebecca Saxe
	In: http://langcog.stanford.edu/papers/IFS-cogsci2009.pdf (2009)
	Abstract: Learners are able to infer the meanings of words by observ-ing the consistent statistical association between words and their referents, but the nature of the learning mechanisms un-derlying this process are unknown. We conducted an artifi-cial cross-situational word learning experiment in which either words consistently appeared with multiple objects (extra ob-ject condition) or objects consistently appeared with multiple words (extra word condition). In both conditions, participants learned one-to-one (“mutually exclusive”) word-object map-pings. We tested whether a number of computational models of word learning learned mutually exclusive lexicons. Simple associative models learned mutually exclusive lexicons in at most one of the two conditions. In contrast, a more complex Bayesian model—which assumed that only some objects were being talked about and only some words referred—learned mutually exclusive lexicons in both conditions, consistent with the performance of human learners.
	Keyword: mutual exclusivity; statistical learning; word
	URL: http://langcog.stanford.edu/papers/IFS-cogsci2009.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.692.2303
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26	Cross-situational word learning respects mutual exclusivity
	Denise Ichinco; Michael C. Frank; Rebecca Saxe
	In: http://141.14.165.6/CogSci09/papers/520/paper520.pdf (2009)
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27	Using Speakers’ Referential Intentions to Model Early Cross-Situational Word Learning
	Michael C. Frank; Noah D. Goodman; Joshua B. Tenenbaum
	In: http://web.mit.edu/cocosci/Papers/FGT-PsychScience.pdf (2009)
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28	Using Speakers’ Referential Intentions to Model Early Cross-Situational Word Learning
	Michael C. Frank; Noah D. Goodman; Joshua B. Tenenbaum
	In: http://www.stanford.edu/~mcfrank/papers/FGT-psychscience2009.pdf (2009)
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29	Exploring word learning in a high-density longitudinal corpus
	Brandon C. Roy; Michael C. Frank
	In: http://langcog.stanford.edu/papers/RFR-cogsci2009.pdf (2009)
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30	Exploring word learning in a high-density longitudinal corpus
	Brandon C. Roy; Michael C. Frank
	In: http://141.14.165.6/CogSci09/papers/501/paper501.pdf (2009)
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31	Continuity of discourse provides information for word learning
	Michael C. Frank; Noah D. Goodman; Joshua B. Tenenbaum...
	In: http://141.14.165.6/CogSci09/papers/312/paper312.pdf (2009)
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32	Continuity of discourse provides information for word learning
	Michael C. Frank; Noah D. Goodman; Joshua B. Tenenbaum...
	In: http://www.mit.edu/~ndg/papers/FrankGoodmanTenenbaumFernald2009.pdf (2009)
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33	Informative communication in word production and word learning
	Michael C. Frank; Noah D. Goodman; Peter Lai...
	In: http://141.14.165.6/CogSci09/papers/280/paper280.pdf (2009)
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34	Principles of generalization for learning sequential structure in language
	Michael C. Frank; Denise Ichinco; Joshua B. Tenenbaum
	In: http://langcog.stanford.edu/papers/frank-cogsci08-generalization.pdf (2008)
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35	Modeling human performance on statistical word segmentation tasks
	Michael C. Frank; Thomas L. Griffiths; Joshua B. Tenenbaum
	In: http://homepages.inf.ed.ac.uk/sgwater/papers/cognition10-segmem.pdf (2007)
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36	Modeling online word segmentation performance in structured artificial languages
	Stephan Meylan; Chigusa Kurumada; Mark Johnson...
	In: http://langcog.stanford.edu/papers/MKBJF-cogsci2012.pdf
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37	Developmental Changes in the Relationship Between Grammar and the Lexicon
	Mika Braginsky; Daniel Yurovsky; Virginia A. Marchman...
	In: http://langcog.stanford.edu/papers/BYMF-underreview.pdf
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38	Cues to turn boundary projection in adults and preschoolers
	Marisa C. Tice; Michael C. Frank
	In: http://langcog.stanford.edu/papers/TF-underreview.pdf
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39	The development of predictive processes in children’s discourse understanding
	Marisa Casillas; Michael C. Frank
	In: http://langcog.stanford.edu/papers/CF-cogsci2013.pdf
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40	Modeling disambiguation in word learning via multiple probabilistic constraints
	Molly Lewis; Michael C. Frank
	In: http://langcog.stanford.edu/papers/LF-cogsci2013a.pdf
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