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Published on: April 3, 2026
Incorporating computer-aided language sample analysis into clinical practice.
Lisa Hammett Price1, Sean Hendricks, Colleen Cook
1Indiana University of Pennsylvania, Department of Special Education and Clinical Services, 85 McHenry Road, Indiana, PA 15701, USA. lprice@iup.edu
Computer-aided language sampling and analysis (CLSA) enhances child language evaluations. This tutorial details a 4-step CLSA process, making authentic language assessment more feasible for clinicians.
Area of Science:
- Speech-Language Pathology
- Computational Linguistics
- Educational Psychology
Background:
- Child language evaluation benefits from diverse data sources.
- Authentic assessment data is crucial for diagnosis and treatment planning.
- Language sampling and analysis (LSA) provides authentic language data.
Purpose of the Study:
- To provide step-by-step procedures for computer-aided language sampling and analysis (CLSA).
- To demonstrate the clinical feasibility of computer-aided LSA.
- To guide clinicians in integrating digital technologies for language assessment.
Main Methods:
- A 4-step CLSA process is detailed: eliciting and recording language samples digitally.
- Transcription of language samples.
- Analysis using Systematic Analysis of Language Transcripts (SALT) software.
- Application of results for treatment planning.
Main Results:
- Computer-aided LSA significantly improves the feasibility of authentic language assessment.
- Digital technologies transform clinical practice by offering quantifiable, naturalistic language measures.
- The tutorial illustrates CLSA application through a case study.
Conclusions:
- CLSA enhances the efficiency and effectiveness of child language evaluations.
- Integrating digital tools into LSA practice can revolutionize language assessment.
- CLSA data provides valuable insights for individualized treatment goals and activities.

