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1
Developing semantic knowledge through cross-situational word learning
In: http://www.kachergis.com/docs/kachergis_yu_shiffrin_2014_priming.pdf (2014)
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2
Reviewed by:
In: http://www.kachergis.com/docs/kachergis_yu_shiffrin_2014frontiers_implicit.pdf (2014)
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3
Actively learning object names across ambiguous situations
In: http://www.kachergis.com/docs/kachergis_etal2013_active.pdf (2013)
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4
Does Statistical Word Learning Scale? It’s a Matter of Perspective
In: http://www.thoughtfill.com/docs/yurovsky_smith_yu_cs12.pdf (2012)
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5
Actively Learning Object Names Across Ambiguous Situations
In: http://www.indiana.edu/~dll/papers/kachergis2012_active_topics.pdf (2012)
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6
Joint or conditional probability in statistical word learning: Why decide
In: http://141.14.165.6/CogSci09/papers/676/paper676.pdf (2009)
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7
Frequency and contextual diversity effects in cross-situational word learning
In: http://141.14.165.6/CogSci09/papers/521/paper521.pdf (2009)
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8
Prior knowledge bootstraps cross-situational learning
In: http://csjarchive.cogsci.rpi.edu/Proceedings/2008/pdfs/p1930.pdf (2008)
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9
Infants rapidly learn words from noisy data via cross-situational statistics
In: http://csjarchive.cogsci.rpi.edu/proceedings/2007/docs/p653.pdf (2007)
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10
Infants rapidly learn word-referent mappings via cross-situational statistics
In: http://www.indiana.edu/~dll/papers/COGNIT_1702.pdf (2007)
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11
The Role of Embodied Intention in Early Lexical Acquisition
In: http://www.cs.utexas.edu/~kuipers/readings/Yu-cogsci-05.pdf (2005)
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12
A multimodal learning interface for grounding spoken language in sensory perceptions
In: http://www.indiana.edu/~dll/papers/yu_tap04.pdf (2004)
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13
A Multimodal Learning Interface for Grounding Spoken Language in Sensory Perceptions
In: http://www.cs.rochester.edu/~yu/pubs/yu_icmi03.pdf (2004)
Abstract: Most speech interfaces are based on natural language processing techniques that use pre-defined symbolic representations of word meanings and process only linguistic information. To understand and use language like their human counterparts in multimodal humancomputer interaction, computers need to acquire spoken language and map it to other sensory perceptions. This paper presents a multimodal interface that learns to associate spoken language with perceptual features by being situated in users' everyday environments and sharing user-centric multisensory information. The learning interface is trained in unsupervised mode in which users perform everyday tasks while providing natural language descriptions of their behaviors. We collect acoustic signals in concert with multisensory information from non-speech modalities, such as user's perspective video, gaze positions, head directions and hand movements. The system firstly estimates users' focus of attention from eye and head cues. Attention, as represented by gaze fixation, is used for spotting the target object of user interest. Attention switches are calculated and used to segment an action sequence into action units which are then categorized by mixture hidden Markov models. A multimodal learning algorithm is developed to spot words from continuous speech and then associate them with perceptually grounded meanings extracted from visual perception and action. Successful learning has been demonstrated in the experiments of three natural tasks: "unscrewing a jar", "stapling a letter" and "pouring water".
Keyword: Human Factors Keywords Language Acquisition; Languages; Machine Learning; Multimodal Integration
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.10.7352
http://www.cs.rochester.edu/~yu/pubs/yu_icmi03.pdf
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14
Cross-Situational Statistical Learning: Implicit or Intentional?
In: http://www.indiana.edu/%7Edll/papers/george_implicit_revised.pdf
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15
Adaptive Constraints and Inference in Cross-Situational Word Learning
In: http://www.indiana.edu/%7Edll/papers/george_adaptive_revised.pdf
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16
Joint or Conditional Probability in Statistical Word Learning: Why decide?
In: http://www.indiana.edu/~dll/papers/KleinYuCogSci09.pdf
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17
Frequency and Contextual Diversity Effects in Cross-Situational Word Learning
In: http://www.indiana.edu/~dll/papers/kachergis_cont_div_freq09.pdf
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18
Running head: PARTIAL KNOWLEDGE 1 The Role of Partial Knowledge in Statistical Word Learning
In: http://www.iub.edu/~cogdev/labwork/yurovsky_fricker_yu_smith.pdf
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19
Please address correspondence to:
In: http://www.indiana.edu/~dll/papers/yurovsky_smith_yu_ds12.pdf
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