Factors Affecting Nonnative Consonant Cluster Learning.
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| Title: | Factors Affecting Nonnative Consonant Cluster Learning. |
|---|---|
| Authors: | Buchwald, Adam1 buchwald@nyu.edu, Hung-Shao Cheng1 |
| Source: | Journal of Speech, Language & Hearing Research. 2023 Supplement, Vol. 66, p3038-3051. 14p. |
| Subject Terms: | *Memory, *Learning, *Language acquisition, *Consonants, *Motor ability, Linguistics, Task performance, Paradigms (Social sciences), Research funding, Secondary analysis |
| Geographic Terms: | New York (State) |
| Abstract: | Purpose: Nonnative consonant cluster learning has become a useful experimental approach for learning about speech motor learning, and we sought to enhance our understanding of this area and to establish best practices for this type of research. Method: One hundred twenty individuals completed a nonnative consonant cluster learning task within a speech motor learning paradigm. Following a brief prepractice, participants then practiced the production of eight word-initial nonnative consonant clusters embedded in bisyllabic nonwords (e.g., GD in /gdivu/). The clusters ranged in difficulty according to linguistic typology and sonority sequencing. Acquisition was operationalized as the change across the practice section and learning was assessed with two retention sessions (R1: 30 min after practice; R2: 2 days after practice). We evaluated changes in accuracy as well as in the acoustic details of the cluster production at each time point. Results: Overall, participants improved in their production of the consonant clusters. Accuracy increased, and duration measures decreased in specific measures associated with cluster production. The change in coordination measured in the acoustics changed both for clusters that were incorrectly produced and for those that were correctly produced, indicating continued motor learning even in accurate tokens. Conclusions: These results aid our understanding of the complexity of nonnative consonant cluster learning. In particular, both factors related to both phonological and speech motor control properties affect the learning of novel speech sequences. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Speech, Language & Hearing Research is the property of American Speech-Language-Hearing Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 171330548 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Factors Affecting Nonnative Consonant Cluster Learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Buchwald%2C+Adam%22">Buchwald, Adam</searchLink><relatesTo>1</relatesTo><i> buchwald@nyu.edu</i><br /><searchLink fieldCode="AR" term="%22Hung-Shao+Cheng%22">Hung-Shao Cheng</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Speech%2C+Language+%26+Hearing+Research%22">Journal of Speech, Language & Hearing Research</searchLink>. 2023 Supplement, Vol. 66, p3038-3051. 14p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Memory%22">Memory</searchLink><br />*<searchLink fieldCode="DE" term="%22Learning%22">Learning</searchLink><br />*<searchLink fieldCode="DE" term="%22Language+acquisition%22">Language acquisition</searchLink><br />*<searchLink fieldCode="DE" term="%22Consonants%22">Consonants</searchLink><br />*<searchLink fieldCode="DE" term="%22Motor+ability%22">Motor ability</searchLink><br /><searchLink fieldCode="DE" term="%22Linguistics%22">Linguistics</searchLink><br /><searchLink fieldCode="DE" term="%22Task+performance%22">Task performance</searchLink><br /><searchLink fieldCode="DE" term="%22Paradigms+%28Social+sciences%29%22">Paradigms (Social sciences)</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Secondary+analysis%22">Secondary analysis</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22New+York+%28State%29%22">New York (State)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Purpose: Nonnative consonant cluster learning has become a useful experimental approach for learning about speech motor learning, and we sought to enhance our understanding of this area and to establish best practices for this type of research. Method: One hundred twenty individuals completed a nonnative consonant cluster learning task within a speech motor learning paradigm. Following a brief prepractice, participants then practiced the production of eight word-initial nonnative consonant clusters embedded in bisyllabic nonwords (e.g., GD in /gdivu/). The clusters ranged in difficulty according to linguistic typology and sonority sequencing. Acquisition was operationalized as the change across the practice section and learning was assessed with two retention sessions (R1: 30 min after practice; R2: 2 days after practice). We evaluated changes in accuracy as well as in the acoustic details of the cluster production at each time point. Results: Overall, participants improved in their production of the consonant clusters. Accuracy increased, and duration measures decreased in specific measures associated with cluster production. The change in coordination measured in the acoustics changed both for clusters that were incorrectly produced and for those that were correctly produced, indicating continued motor learning even in accurate tokens. Conclusions: These results aid our understanding of the complexity of nonnative consonant cluster learning. In particular, both factors related to both phonological and speech motor control properties affect the learning of novel speech sequences. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Speech, Language & Hearing Research is the property of American Speech-Language-Hearing Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1044/2022_JSLHR-22-00322 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 3038 Subjects: – SubjectFull: Memory Type: general – SubjectFull: Learning Type: general – SubjectFull: Language acquisition Type: general – SubjectFull: Consonants Type: general – SubjectFull: Motor ability Type: general – SubjectFull: Linguistics Type: general – SubjectFull: Task performance Type: general – SubjectFull: Paradigms (Social sciences) Type: general – SubjectFull: Research funding Type: general – SubjectFull: Secondary analysis Type: general – SubjectFull: New York (State) Type: general Titles: – TitleFull: Factors Affecting Nonnative Consonant Cluster Learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Buchwald, Adam – PersonEntity: Name: NameFull: Hung-Shao Cheng IsPartOfRelationships: – BibEntity: Dates: – D: 02 M: 08 Text: 2023 Supplement Type: published Y: 2023 Identifiers: – Type: issn-print Value: 10924388 Numbering: – Type: volume Value: 66 Titles: – TitleFull: Journal of Speech, Language & Hearing Research Type: main |
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