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The development of predictive processes in children’s discourse understanding ...
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46 |
Social and Discourse Contributions to the Determination of Reference in Cross-Situational Word Learning
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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
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48 |
Learning and Long-Term Retention of Large-Scale Artificial Languages
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49 |
Learning and Long-Term Retention of Large-Scale Artificial Languages
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In: PLoS (2012)
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51 |
Verbal interference suppresses exact numerical representation
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In: Prof. Gibson (2011)
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52 |
Overcoming Memory Limitations in Rule Learning
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In: MIT Web Domain (2011)
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54 |
Contributions of Prosodic and Distributional Features of Caregivers' Speech in Early Word Learning
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In: Soroush Vosoughi (2010)
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56 |
Effects of Caregiver Prosody on Child Language Acquisition
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In: Soroush Vosoughi (2010)
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57 |
Learning words and their meanings from unsegmented child-directed speech
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Abstract:
Most work on language acquisition treats word segmentation---the identification of linguistic segments from continuous speech---and word learning---the mapping of those segments to meanings---as separate problems. These two abilities develop in parallel, however, raising the question of whether they might interact. To explore the question, we present a new Bayesian segmentation model that incorporates aspects of word learning and compare it to a model that ignores word meanings. The model that learns word meanings proposes more adult-like segmentations for the meaning-bearing words. This result suggests that the non-linguistic context may supply important information for learning word segmentations as well as word meanings. ; 9 page(s)
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Keyword:
080100 Artificial Intelligence and Image Processing
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URL: http://hdl.handle.net/1959.14/154089
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60 |
Exploring word learning in a high-density longitudinal corpus
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In: MIT web domain (2009)
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