English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  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.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/21.11116/0000-0007-70AA-B Version Permalink: http://hdl.handle.net/21.11116/0000-0007-92CD-D
Genre: Journal Article

Files

show Files
hide Files
:
Rebuschat_etal_2020suppl_Learning vocabulary and grammar from cross-situational statistics.docx (Supplementary material), 333KB
Name:
supplementary material
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/vnd.openxmlformats-officedocument.wordprocessingml.document / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-
:
Rebuschat_etal_2020_Learning vocabulary and grammar from cross-situational statistics.pdf (Publisher version), 912KB
Name:
Rebuschat_etal_2020_Learning vocabulary and grammar from cross-situational statistics.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
2020
Copyright Info:
© 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/).

Locators

show

Creators

show
hide
 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              

Content

show
hide
Free keywords: -
 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.

Details

show
hide
Language(s): eng - English
 Dates: 2020-11-192021
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.cognition.2020.104475
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Cognition
  Other : Cognition
Source Genre: Journal
 Creator(s):
Affiliations:
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