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  Learning vocabulary and grammar from cross-situational statistics

Rebuschat, P., Monaghan, P., & Schoetensack, C. (2021). Learning vocabulary and grammar from cross-situational statistics. Cognition, 206: 104475. doi:10.1016/j.cognition.2020.104475.

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Rebuschat_etal_2020suppl_Learning vocabulary and grammar from cross-situational statistics.docx (Supplementary material), 333KB
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Rebuschat_etal_2020_Learning vocabulary and grammar from cross-situational statistics.pdf (Publisher version), 912KB
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© 2020 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/BY/4.0/).

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 Creators:
Rebuschat, Patrick1, 2, Author
Monaghan, Padraic1, 3, 4, Author           
Schoetensack, Christine1, Author
Affiliations:
1Lancaster University, Lancaster, UK, ou_persistent22              
2University of Tübingen, Tübingen, Germany, ou_persistent22              
3Other Research, MPI for Psycholinguistics, Max Planck Society, Nijmegen, NL, ou_55217              
4University of Amsterdam, Amsterdam, The Netherlands, ou_persistent22              

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 Abstract: Across multiple situations, child and adult learners are sensitive to co-occurrences between individual words and their referents in the environment, which provide a means by which the ambiguity of word-world mappings may be resolved (Monaghan & Mattock, 2012; Scott & Fisher, 2012; Smith & Yu, 2008; Yu & Smith, 2007). In three studies, we tested whether cross-situational learning is sufficiently powerful to support simultaneous learning the referents for words from multiple grammatical categories, a more realistic reflection of more complex natural language learning situations. In Experiment 1, adult learners heard sentences comprising nouns, verbs, adjectives, and grammatical markers indicating subject and object roles, and viewed a dynamic scene to which the sentence referred. In Experiments 2 and 3, we further increased the uncertainty of the referents by presenting two scenes alongside each sentence. In all studies, we found that cross-situational statistical learning was sufficiently powerful to facilitate acquisition of both vocabulary and grammar from complex sentence-to-scene correspondences, simulating the situations that more closely resemble the challenge facing the language learner.

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Language(s): eng - English
 Dates: 2020-11-192021
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.cognition.2020.104475
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Title: Cognition
  Other : Cognition
Source Genre: Journal
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Publ. Info: Amsterdam : Elsevier
Pages: - Volume / Issue: 206 Sequence Number: 104475 Start / End Page: - Identifier: ISSN: 0010-0277
CoNE: https://pure.mpg.de/cone/journals/resource/954925391298