Reduced Competition Effects and Noisier Representations in a Second Language

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Title: Reduced Competition Effects and Noisier Representations in a Second Language
Language: English
Authors: Tachihara, Karina (ORCID 0000-0002-3193-8515), Goldberg, Adele E.
Source: Language Learning. Mar 2020 70(1):219-265.
Availability: Wiley-Blackwell. 350 Main Street, Malden, MA 02148. Tel: 800-835-6770; Tel: 781-388-8598; Fax: 781-388-8232; e-mail: cs-journals@wiley.com; Web site: http://www.wiley.com/WileyCDA
Peer Reviewed: Y
Page Count: 47
Publication Date: 2020
Document Type: Journal Articles
Reports - Evaluative
Descriptors: Second Language Learning, Native Speakers, Task Analysis, Recognition (Psychology), Correlation, Language Proficiency, Decision Making, Predictor Variables, Transfer of Training, Preferences, Sentence Structure, Comparative Analysis, Language Research, Language Processing
DOI: 10.1111/lang.12375
ISSN: 0023-8333
Abstract: Native speakers strongly disprefer novel formulations when a conventional alternative expresses the same intended message, presumably because the more conventional form competes with the novel form. In five studies, second language (L2) speakers were less influenced by competing alternatives than native speakers. L2 speakers accepted novel interpretable sentences more readily than native speakers, and were somewhat less likely to offer competing alternatives as paraphrases or to prefer competing alternatives in forced-choice tasks. They were unaffected by exposure to competing alternatives immediately before judgments. Reduced sensitivity to competing alternatives was confirmed by L2 speakers' greater divergence from native speakers on judgments for novel formulations compared to familiar ones. Reduced sensitivity to competing alternatives also predicts noisier linguistic representations; consistent with this, L2 speakers performed worse on a verbatim recognition task, with performance correlating with more nativelike judgments. Proficiency was a modest predictor of judgments, but transfer effects were not.
Abstractor: As Provided
Entry Date: 2020
Accession Number: EJ1243664
Database: ERIC
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  Data: Reduced Competition Effects and Noisier Representations in a Second Language
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  Data: <searchLink fieldCode="AR" term="%22Tachihara%2C+Karina%22">Tachihara, Karina</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-3193-8515">0000-0002-3193-8515</externalLink>)<br /><searchLink fieldCode="AR" term="%22Goldberg%2C+Adele+E%2E%22">Goldberg, Adele E.</searchLink>
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  Data: <searchLink fieldCode="SO" term="%22Language+Learning%22"><i>Language Learning</i></searchLink>. Mar 2020 70(1):219-265.
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  Data: Wiley-Blackwell. 350 Main Street, Malden, MA 02148. Tel: 800-835-6770; Tel: 781-388-8598; Fax: 781-388-8232; e-mail: cs-journals@wiley.com; Web site: http://www.wiley.com/WileyCDA
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  Data: Journal Articles<br />Reports - Evaluative
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  Data: <searchLink fieldCode="DE" term="%22Second+Language+Learning%22">Second Language Learning</searchLink><br /><searchLink fieldCode="DE" term="%22Native+Speakers%22">Native Speakers</searchLink><br /><searchLink fieldCode="DE" term="%22Task+Analysis%22">Task Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Recognition+%28Psychology%29%22">Recognition (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Correlation%22">Correlation</searchLink><br /><searchLink fieldCode="DE" term="%22Language+Proficiency%22">Language Proficiency</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+Making%22">Decision Making</searchLink><br /><searchLink fieldCode="DE" term="%22Predictor+Variables%22">Predictor Variables</searchLink><br /><searchLink fieldCode="DE" term="%22Transfer+of+Training%22">Transfer of Training</searchLink><br /><searchLink fieldCode="DE" term="%22Preferences%22">Preferences</searchLink><br /><searchLink fieldCode="DE" term="%22Sentence+Structure%22">Sentence Structure</searchLink><br /><searchLink fieldCode="DE" term="%22Comparative+Analysis%22">Comparative Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Language+Research%22">Language Research</searchLink><br /><searchLink fieldCode="DE" term="%22Language+Processing%22">Language Processing</searchLink>
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  Data: 10.1111/lang.12375
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– Name: Abstract
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  Data: Native speakers strongly disprefer novel formulations when a conventional alternative expresses the same intended message, presumably because the more conventional form competes with the novel form. In five studies, second language (L2) speakers were less influenced by competing alternatives than native speakers. L2 speakers accepted novel interpretable sentences more readily than native speakers, and were somewhat less likely to offer competing alternatives as paraphrases or to prefer competing alternatives in forced-choice tasks. They were unaffected by exposure to competing alternatives immediately before judgments. Reduced sensitivity to competing alternatives was confirmed by L2 speakers' greater divergence from native speakers on judgments for novel formulations compared to familiar ones. Reduced sensitivity to competing alternatives also predicts noisier linguistic representations; consistent with this, L2 speakers performed worse on a verbatim recognition task, with performance correlating with more nativelike judgments. Proficiency was a modest predictor of judgments, but transfer effects were not.
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        Value: 10.1111/lang.12375
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      – Text: English
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        PageCount: 47
        StartPage: 219
    Subjects:
      – SubjectFull: Second Language Learning
        Type: general
      – SubjectFull: Native Speakers
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      – SubjectFull: Task Analysis
        Type: general
      – SubjectFull: Recognition (Psychology)
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      – SubjectFull: Decision Making
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      – SubjectFull: Predictor Variables
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      – SubjectFull: Transfer of Training
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      – SubjectFull: Preferences
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      – SubjectFull: Sentence Structure
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      – SubjectFull: Comparative Analysis
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      – SubjectFull: Language Research
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      – SubjectFull: Language Processing
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      – TitleFull: Reduced Competition Effects and Noisier Representations in a Second Language
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