The implementation of the 'Testing of Phonological Skills (TOPS)' tool: a computer-based phonological analysis...

Area of Science:

• Linguistics
• Speech-Language Pathology
• Computational Linguistics

Background:

• Phonological analysis of Cypriot Greek (CG) in typically developing (TD) children is crucial for understanding language acquisition.
• Existing methods may lack the precision and efficiency needed for detailed speech pattern analysis.

Purpose of the Study:

• To create a comprehensive phonetic and phonological test for Cypriot Greek.
• To implement a novel computer-based algorithm for analyzing speech stimuli from TD CG-speaking children.
• To examine independent and relational speech patterns using the developed algorithm.

Main Methods:

• A probe word list of 182 target words was created, encompassing all CG consonants.
• Normative data were collected from 20 TD CG-speaking children aged 3-6 years.
• Phonetic transcriptions were analyzed by a computer algorithm for variables like PCC, PIS, IOD, and RASS.

Main Results:

• The computer algorithm enabled automatic data reduction of key speech variables.
• Correlation analyses identified significant interactions and predictive relationships among phonetic and phonological patterns.
• Developmental trajectories of segmental and phonological patterns were observed as a function of age.

Conclusions:

• The developed probe word list and computer algorithm facilitate homogeneous and inclusive speech sampling analysis.
• The study provides valuable normative data and insights into the phonological development of Cypriot Greek-speaking children.
• This approach offers a robust method for assessing speech patterns and identifying developmental trends.