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Learning words and their meanings from unsegmented child-directed speech
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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
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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
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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
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In: http://www.socsci.uci.edu/%7Elpearl/colareadinggroup/readings/JonesJohnsonFrank2010_WordsMeaningsUnsegSpeech.pdf (2010)
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Cross-situational word learning respects mutual exclusivity
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In: http://langcog.stanford.edu/papers/IFS-cogsci2009.pdf (2009)
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| 26 |
Cross-situational word learning respects mutual exclusivity
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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
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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
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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
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In: http://langcog.stanford.edu/papers/RFR-cogsci2009.pdf (2009)
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| 30 |
Exploring word learning in a high-density longitudinal corpus
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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
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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
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In: http://www.mit.edu/~ndg/papers/FrankGoodmanTenenbaumFernald2009.pdf (2009)
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| 33 |
Informative communication in word production and word learning
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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
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In: http://langcog.stanford.edu/papers/frank-cogsci08-generalization.pdf (2008)
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| 35 |
Modeling human performance on statistical word segmentation tasks
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In: http://homepages.inf.ed.ac.uk/sgwater/papers/cognition10-segmem.pdf (2007)
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Abstract:
The ability to discover groupings in continuous stimuli on the basis of distributional information is present across species and across perceptual modalities. We investigate the nature of the computations underlying this ability using statistical word segmentation experiments in which we vary the length of sentences, the amount of exposure, and the number of words in the languages being learned. Although the results are intuitive from the perspective of a language learner (longer sentences, less training, and a larger language all make learning more difficult), standard computational proposals fail to capture several of these results. We describe how probabilistic models of segmentation can be modified to take into account some notion of memory or resource limitations in order to provide a closer match to human performance. Human adults and infants, non-human primates, and even rodents all show a surprising ability: presented with a stream of syllables with no pauses between them, individuals from each group are able to discriminate statistically coherent sequences from sequences with lower coherence (Aslin, Saffran
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.177.1368
http://homepages.inf.ed.ac.uk/sgwater/papers/cognition10-segmem.pdf
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| 36 |
Modeling online word segmentation performance in structured artificial languages
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In: http://langcog.stanford.edu/papers/MKBJF-cogsci2012.pdf
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| 37 |
Developmental Changes in the Relationship Between Grammar and the Lexicon
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In: http://langcog.stanford.edu/papers/BYMF-underreview.pdf
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| 38 |
Cues to turn boundary projection in adults and preschoolers
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In: http://langcog.stanford.edu/papers/TF-underreview.pdf
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| 39 |
The development of predictive processes in children’s discourse understanding
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In: http://langcog.stanford.edu/papers/CF-cogsci2013.pdf
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| 40 |
Modeling disambiguation in word learning via multiple probabilistic constraints
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In: http://langcog.stanford.edu/papers/LF-cogsci2013a.pdf
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