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  Statistical word learning is a continuous process: Evidence from the human simulation paradigm

Zhang, Y., Yurovsky, D., & Yu, C. (2015). Statistical word learning is a continuous process: Evidence from the human simulation paradigm. In D. Noelle, R. Dale, A. Warlaumont, J. Yoshimi, T. Matlock, C. D. Jennings, et al. (Eds.), Proceedings of the 37th Annual Meeting of the Cognitive Science Society (CogSci 2015) (pp. 2422-2427). Austin: Cognitive Science Society.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000B-2F56-1 Version Permalink: https://hdl.handle.net/21.11116/0000-000B-2F57-0
Genre: Conference Paper

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 Creators:
Zhang, Yayun1, Author           
Yurovsky, D., Author
Yu, C., Author
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1Indiana University, Bloomington, IN, USA, ou_persistent22              

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 Abstract: In the word-learning domain, both adults and young children are able to find the correct referent of a word from highly ambiguous contexts that involve many words and objects by computing distributional statistics across the co-occurrences of words and referents at multiple naming moments (Yu & Smith, 2007; Smith & Yu, 2008). However, there is still debate regarding how learners accumulate distributional information to learn object labels in natural learning environments, and what underlying learning mechanism learners are most likely to adopt. Using the Human Simulation Paradigm (Gillette, Gleitman, Gleitman & Lederer, 1999), we found that participants’ learning performance gradually improved and that their ability to remember and carry over partial knowledge from past learning instances facilitated subsequent learning. These results support the statistical learning model that word learning is a continuous process.

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 Dates: 2015
 Publication Status: Published online
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Title: 37th Annual Meeting of the Cognitive Science Society (CogSci 2015)
Place of Event: Pasadena, CA, USA
Start-/End Date: 2015-07-22 - 2015-07-25

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Title: Proceedings of the 37th Annual Meeting of the Cognitive Science Society (CogSci 2015)
Source Genre: Proceedings
 Creator(s):
Noelle, D., Editor
Dale, R., Editor
Warlaumont, A., Editor
Yoshimi, J., Editor
Matlock, T., Editor
Jennings, C. D., Editor
Maglio, P. P., Editor
Affiliations:
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Publ. Info: Austin : Cognitive Science Society
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 2422 - 2427 Identifier: -