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https://hdl.handle.net/20.500.14279/29800
Title: | The implementation of the 'Testing of Phonological Skills (TOPS)' tool: a computer-based phonological analysis algorithm | Authors: | Armostis, Spyros Petinou, Kakia Kyprianou, Anna |
Major Field of Science: | Medical and Health Sciences | Field Category: | Health Sciences | Keywords: | algorithm;Computer-based phonological analysis;cross-linguistic;phonetic analysis | Issue Date: | 17-Oct-2022 | Source: | Clinical Linguistics and Phonetics, 2023, vol.37 n.11, pp.1030-1049 | Volume: | 37 | Issue: | 11 | Start page: | 1030 | End page: | 1049 | Journal: | Clinical Linguistics & Phonetics | 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. | URI: | https://hdl.handle.net/20.500.14279/29800 | ISSN: | 02699206 | DOI: | 10.1080/02699206.2022.2132422 | Rights: | © Taylor & Francis Group, LLC. | Type: | Article | Affiliation : | University of Cyprus Cyprus University of Technology |
Publication Type: | Peer Reviewed |
Appears in Collections: | Άρθρα/Articles |
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