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Hits 41 – 60 of 70

41
Predicting the birth of a spoken word
In: PNAS (2014)
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42
The development of predictive processes in children’s discourse understanding ...
Frank, Michael C.. - : Databrary, 2014
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43
Zipfian frequency distributions facilitate word segmentation in context
In: Cognition. - Amsterdam [u.a] : Elsevier 127 (2013) 3, 439-453
OLC Linguistik
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44
Throwing out the Bayesian baby with the optimal bathwater: Response to Endress (2013)
In: Cognition. - Amsterdam [u.a] : Elsevier 128 (2013) 3, 417-423
OLC Linguistik
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45
Social and Discourse Contributions to the Determination of Reference in Cross-Situational Word Learning
In: Language learning and development. - Philadelphia, Pa. : Taylor & Francis 9 (2013) 1, 1-24
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46
Social and Discourse Contributions to the Determination of Reference in Cross-Situational Word Learning
In: Stanford University web domain (2013)
Abstract: How do children infer the meanings of their first words? Even in infant-directed speech, object nouns are often used in complex contexts with many possible referents and in sentences with many other words. Previous work has argued that children can learn word meanings via cross-situational observation of correlations between words and their referents. While cross-situational associations can sometimes be informative, social cues to what a speaker is talking about can provide a powerful shortcut to word meaning. The current study takes steps toward quantifying the informativeness of cues that signal speakers' chosen referent, including their eye-gaze, the position of their hands, and the referents of their previous utterances. We present results based on a hand-annotated corpus of 24 videos of child-caregiver play sessions with children from 6 to 18 months old, which we make available to researchers interested in similar issues. Our analyses suggest that although they can be more useful than cross-situational information in some contexts, social and discourse information must also be combined probabilistically to be effective in determining reference. ; National Science Foundation (U.S.) (NSF #DDRIG #0746251) ; United States. Department of Education (Jacob K. Javits Graduate Fellowship)
URL: http://hdl.handle.net/1721.1/92874
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47
Parsing entire discourses as very long strings : capturing topic continuity in grounded language learning
Luong, Minh-Thang; Frank, Michael C; Johnson, Mark. - : Association for Computational Linguistics, 2013
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48
Learning and Long-Term Retention of Large-Scale Artificial Languages
Frank, Michael C.; Tenenbaum, Joshua B.; Gibson, Edward. - : Public Library of Science, 2013
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49
Learning and Long-Term Retention of Large-Scale Artificial Languages
In: PLoS (2012)
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50
Overcoming memory limitations in rule learning
In: Language learning and development. - Philadelphia, Pa. : Taylor & Francis 7 (2011) 2, 130-148
BLLDB
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51
Verbal interference suppresses exact numerical representation
In: Prof. Gibson (2011)
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52
Overcoming Memory Limitations in Rule Learning
In: MIT Web Domain (2011)
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53
Modeling human performance in statistical word segmentation
In: Cognition. - Amsterdam [u.a] : Elsevier 117 (2010) 2, 107-125
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54
Contributions of Prosodic and Distributional Features of Caregivers' Speech in Early Word Learning
In: Soroush Vosoughi (2010)
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55
Early word learning through communicative inference
Frank, Michael C., Ph. D. Massachusetts Institute of Technology. - : Massachusetts Institute of Technology, 2010
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56
Effects of Caregiver Prosody on Child Language Acquisition
In: Soroush Vosoughi (2010)
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57
Learning words and their meanings from unsegmented child-directed speech
Jones, Bevan K; Johnson, Mark; Frank, Michael C. - : Stroudsburg, Pa : Association for Computational Linguistics, 2010
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58
Imaginative geography as a travelling concept : Foucault, Said and the spatial turn
Frank, Michael C. [Verfasser]. - Konstanz : Bibliothek der Universität Konstanz, 2009
DNB Subject Category Language
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59
Development of infants’ attention to faces during the first year
In: Cognition. - Amsterdam [u.a] : Elsevier 110 (2009) 2, 160-170
OLC Linguistik
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60
Exploring word learning in a high-density longitudinal corpus
In: MIT web domain (2009)
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