Operationalization of Sign Language Phonological Similarity and its Effects on Lexical Access.

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Title: Operationalization of Sign Language Phonological Similarity and its Effects on Lexical Access.
Authors: Williams, Joshua T.1,2 willjota@indiana.edu, Stone, Adam2, Newman, Sharlene D.1
Source: Journal of Deaf Studies & Deaf Education. Jul2017, Vol. 22 Issue 3, p303-315. 13p.
Subject Terms: *Sign language, *Access to information, Databases, Phonetics
Abstract: Cognitivemechanisms for sign language lexical access are fairly unknown. This study investigated whether phonological similarity facilitates lexical retrieval in sign languages usingmeasures froma new lexical database for American Sign Language. Additionally, it aimed to determine which similaritymetric best fits the present data in order to informtheories of how phonological similarity is constructed within the lexicon and to aid in the operationalization of phonological similarity in sign language. Sign repetition latencies and accuracy were obtained when native signers were asked to reproduce a sign displayed on a computer screen. Results indicated that, as predicted, phonological similarity facilitated repetition latencies and accuracy as long as there were no strict constraints on the type of sublexical features that overlapped. The data converged to suggest that one similaritymeasure, MaxD, defined as the overlap of any 4 sublexical features, likely best represents mechanisms of phonological similarity in themental lexicon. Together, these data suggest that lexical access in sign language is facilitated by phonologically similar lexical representations inmemory and the optimal operationalization is defined as liberal constraints on overlap of 4 out of 5 sublexical features--similar to themajority of extant definitions in the literature. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Deaf Studies & Deaf Education is the property of Oxford University Press / USA 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.)
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  Data: Operationalization of Sign Language Phonological Similarity and its Effects on Lexical Access.
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  Data: <searchLink fieldCode="AR" term="%22Williams%2C+Joshua+T%2E%22">Williams, Joshua T.</searchLink><relatesTo>1,2</relatesTo><i> willjota@indiana.edu</i><br /><searchLink fieldCode="AR" term="%22Stone%2C+Adam%22">Stone, Adam</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Newman%2C+Sharlene+D%2E%22">Newman, Sharlene D.</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Deaf+Studies+%26+Deaf+Education%22">Journal of Deaf Studies & Deaf Education</searchLink>. Jul2017, Vol. 22 Issue 3, p303-315. 13p.
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  Data: *<searchLink fieldCode="DE" term="%22Sign+language%22">Sign language</searchLink><br />*<searchLink fieldCode="DE" term="%22Access+to+information%22">Access to information</searchLink><br /><searchLink fieldCode="DE" term="%22Databases%22">Databases</searchLink><br /><searchLink fieldCode="DE" term="%22Phonetics%22">Phonetics</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Cognitivemechanisms for sign language lexical access are fairly unknown. This study investigated whether phonological similarity facilitates lexical retrieval in sign languages usingmeasures froma new lexical database for American Sign Language. Additionally, it aimed to determine which similaritymetric best fits the present data in order to informtheories of how phonological similarity is constructed within the lexicon and to aid in the operationalization of phonological similarity in sign language. Sign repetition latencies and accuracy were obtained when native signers were asked to reproduce a sign displayed on a computer screen. Results indicated that, as predicted, phonological similarity facilitated repetition latencies and accuracy as long as there were no strict constraints on the type of sublexical features that overlapped. The data converged to suggest that one similaritymeasure, MaxD, defined as the overlap of any 4 sublexical features, likely best represents mechanisms of phonological similarity in themental lexicon. Together, these data suggest that lexical access in sign language is facilitated by phonologically similar lexical representations inmemory and the optimal operationalization is defined as liberal constraints on overlap of 4 out of 5 sublexical features--similar to themajority of extant definitions in the literature. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Deaf Studies & Deaf Education is the property of Oxford University Press / USA 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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        Value: 10.1093/deafed/enx014
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      – Code: eng
        Text: English
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        PageCount: 13
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      – SubjectFull: Sign language
        Type: general
      – SubjectFull: Access to information
        Type: general
      – SubjectFull: Databases
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      – SubjectFull: Phonetics
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      – TitleFull: Operationalization of Sign Language Phonological Similarity and its Effects on Lexical Access.
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              Text: Jul2017
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              Y: 2017
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