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  Predictors of L2 word learning accuracy: A big data investigation

Hopman, E., Thompson, B., Austerweil, J., & Lupyan, G. (2018). Predictors of L2 word learning accuracy: A big data investigation. In C. Kalish, M. Rau, J. Zhu, & T. T. Rogers (Eds.), Proceedings of the 40th Annual Conference of the Cognitive Science Society (CogSci 2018) (pp. 513-518). Austin, TX: Cognitive Science Society.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0001-BE9D-9 Version Permalink: https://hdl.handle.net/21.11116/0000-0002-C06A-E
Genre: Conference Paper

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Hopman_etal_2018.pdf (Publisher version), 342KB
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http://mindmodeling.org/cogsci2018/papers/0114/0114.pdf (Publisher version)
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 Creators:
Hopman, Elise1, Author
Thompson, Bill2, Author           
Austerweil, Joseph1, Author
Lupyan, Gary1, Author
Affiliations:
1Department of Psychology, University of Wisconsin, Madison, WI, USA, ou_persistent22              
2Language and Cognition Department, MPI for Psycholinguistics, Max Planck Society, ou_792548              

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 Abstract: What makes some words harder to learn than others in a second language? Although some robust factors have been identified based on small scale experimental studies, many relevant factors are difficult to study in such experiments due to the amount of data necessary to test them. Here, we investigate what factors affect the ease of learning of a word in a second language using a large data set of users learning English as a second language through the Duolingo mobile app. In a regression analysis, we test and confirm the well-studied effect of cognate status on word learning accuracy. Furthermore, we find significant effects for both cross-linguistic semantic alignment and English semantic density, two novel predictors derived from large scale distributional models of lexical semantics. Finally, we provide data on several other psycholinguistically plausible word level predictors. We conclude with a discussion of the limits, benefits and future research potential of using big data for investigating second language learning.

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Language(s): eng - English
 Dates: 2018-07
 Publication Status: Published online
 Pages: -
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 Rev. Type: Peer
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Title: the 40th Annual Conference of the Cognitive Science Society (CogSci 2018)
Place of Event: Madison, WI, USA
Start-/End Date: 2018-07-25 - 2017-07-28

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Title: Proceedings of the 40th Annual Conference of the Cognitive Science Society (CogSci 2018)
Source Genre: Proceedings
 Creator(s):
Kalish, Charles, Editor
Rau, Martina, Editor
Zhu, Jerry, Editor
Rogers, Timothy T., Editor
Affiliations:
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Publ. Info: Austin, TX : Cognitive Science Society
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 513 - 518 Identifier: ISBN: 978-0-9911967-8-4