Literature DB >> 17017278

Comparing different accounts of inversion errors in children's non-subject wh-questions: 'What experimental data can tell us?'.

Ben Ambridge1, Caroline F Rowland, Anna L Theakston, Michael Tomasello.   

Abstract

This study investigated different accounts of children's acquisition of non-subject wh-questions. Questions using each of 4 wh-words (what, who, how and why), and 3 auxiliaries (BE, DO and CAN) in 3sg and 3pl form were elicited from 28 children aged 3;6-4;6. Rates of noninversion error (Who she is hitting?) were found not to differ by wh-word, auxiliary or number alone, but by lexical auxiliary subtype and by wh-word+lexical auxiliary combination. This finding counts against simple rule-based accounts of question acquisition that include no role for the lexical subtype of the auxiliary, and suggests that children may initially acquire wh-word + lexical auxiliary combinations from the input. For DO questions, auxiliary-doubling errors (What does she does like?) were also observed, although previous research has found that such errors are virtually non-existent for positive questions. Possible reasons for this discrepancy are discussed.

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Year:  2006        PMID: 17017278     DOI: 10.1017/s0305000906007513

Source DB:  PubMed          Journal:  J Child Lang        ISSN: 0305-0009


  4 in total

1.  Comprehension of wh-questions precedes their production in typical development and autism spectrum disorders.

Authors:  Anthony Goodwin; Deborah Fein; Letitia R Naigles
Journal:  Autism Res       Date:  2012-02-22       Impact factor: 5.216

Review 2.  The ubiquity of frequency effects in first language acquisition.

Authors:  Ben Ambridge; Evan Kidd; Caroline F Rowland; Anna L Theakston
Journal:  J Child Lang       Date:  2015-03

3.  Subtle Implicit Language Facts Emerge from the Functions of Constructions.

Authors:  Adele E Goldberg
Journal:  Front Psychol       Date:  2016-01-28

4.  Multiword units lead to errors of commission in children's spontaneous production: "What corpus data can tell us?*".

Authors:  Stewart M McCauley; Colin Bannard; Anna Theakston; Michelle Davis; Thea Cameron-Faulkner; Ben Ambridge
Journal:  Dev Sci       Date:  2021-06-01
  4 in total

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