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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
OLC Linguistik
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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)
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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)
Abstract: Recovering discrete words from continuous speech is one of the first challenges facing language learners. Infants and adults can make use of the statistical structure of utterances to learn the forms of words from unsegmented input, suggesting that this ability may be useful for bootstrapping language-specific cues to segmentation. It is unknown, however, whether performance shown in small-scale laboratory demonstrations of “statistical learning” can scale up to allow learning of the lexicons of natural languages, which are orders of magnitude larger. Artificial language experiments with adults can be used to test whether the mechanisms of statistical learning are in principle scalable to larger lexicons. We report data from a large-scale learning experiment that demonstrates that adults can learn words from unsegmented input in much larger languages than previously documented and that they retain the words they learn for years. These results suggest that statistical word segmentation could be scalable to the challenges of lexical acquisition in natural language learning. ; National Science Foundation (U.S.) (NSF DDRIG #0746251)
URL: http://hdl.handle.net/1721.1/77211
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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
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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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