Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/29800
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Armostis, Spyros | - |
dc.contributor.author | Petinou, Kakia | - |
dc.contributor.author | Kyprianou, Anna | - |
dc.date.accessioned | 2023-07-12T08:13:02Z | - |
dc.date.available | 2023-07-12T08:13:02Z | - |
dc.date.issued | 2022-10-17 | - |
dc.identifier.citation | Clinical Linguistics and Phonetics, 2023, vol.37 n.11, pp.1030-1049 | en_US |
dc.identifier.issn | 02699206 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/29800 | - |
dc.description.abstract | A computer-based algorithm was used for phonological analysis of Cypriot Greek (CG) word productions elicited from a sample of typically developing (TD) CG-speaking children. Specific focus was on (a) creating a complete CG phonetic and phonological test; (2) implementing a novel computer-based algorithm in the analysis of selected speech stimuli from CG-speaking TD children; and (3) examining independent and relational speech patterns based on the computer-based algorithm. The probe word list consisted of 182 target words and included all CG consonants in all word positions. Normative data were collected on a representative sample of 20 TD CG-speaking children aged 3;0 to 6;0 years. Productions were phonetically transcribed and inserted into the computer algorithm for automatic data reduction of measurable dependent variables including the percentage of consonants correct (PCC), phonetic inventory size (PIS), word-initial onset deletion (IOD), and Regressive Assimilation (RASS). Correlation analyses revealed significant interactions among phonetic and phonological patterns as well as predictive relationships of PCC and segmental word-position. The implementation of this specific probe word list permitted a homogeneous and inclusive sampling analysis. Participants presented specific developmental trajectories of segmental and phonological patterns as a function of age. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartof | Clinical Linguistics & Phonetics | en_US |
dc.rights | © Taylor & Francis Group, LLC. | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | algorithm | en_US |
dc.subject | Computer-based phonological analysis | en_US |
dc.subject | cross-linguistic | en_US |
dc.subject | phonetic analysis | en_US |
dc.title | The implementation of the 'Testing of Phonological Skills (TOPS)' tool: a computer-based phonological analysis algorithm | en_US |
dc.type | Article | en_US |
dc.collaboration | University of Cyprus | en_US |
dc.collaboration | Cyprus University of Technology | en_US |
dc.subject.category | Health Sciences | en_US |
dc.journals | Subscription | en_US |
dc.country | Cyprus | en_US |
dc.subject.field | Medical and Health Sciences | en_US |
dc.publication | Peer Reviewed | en_US |
dc.identifier.doi | 10.1080/02699206.2022.2132422 | en_US |
dc.identifier.pmid | 36250287 | - |
dc.identifier.scopus | 2-s2.0-85139974750 | - |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/85139974750 | - |
dc.relation.issue | 11 | en_US |
dc.relation.volume | 37 | en_US |
cut.common.academicyear | 2022-2023 | en_US |
dc.identifier.spage | 1030 | en_US |
dc.identifier.epage | 1049 | en_US |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.openairetype | article | - |
item.grantfulltext | none | - |
item.languageiso639-1 | en | - |
item.cerifentitytype | Publications | - |
crisitem.journal.journalissn | 1464-5076 | - |
crisitem.journal.publisher | Taylor & Francis | - |
crisitem.author.dept | Department of Rehabilitation Sciences | - |
crisitem.author.faculty | Faculty of Health Sciences | - |
crisitem.author.orcid | 0000-0001-6580-5190 | - |
crisitem.author.parentorg | Faculty of Health Sciences | - |
Appears in Collections: | Άρθρα/Articles |
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