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Assessment and Therapy Goal Planning Using Free Computerized Language Analysis Software.

Nan Bernstein Ratner¹, Brian MacWhinney²

¹University of Maryland, College Park.

Perspectives of the ASHA Special Interest Groups

|May 25, 2023

Summary

This summary is machine-generated.

This tutorial introduces the free Computerized Language Analysis (CLAN) software for efficient language sample analysis (LSA). It demonstrates how CLAN aids in identifying expressive language delays and structuring therapy goals for children.

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Area of Science:

Computational linguistics
Developmental psychology
Speech-language pathology

Background:

Language sample analysis (LSA) is crucial for assessing child language development.
Existing methods can be time-consuming and require specialized expertise.
The Computerized Language Analysis (CLAN) system offers a free, efficient solution.

Purpose of the Study:

To introduce the free CLAN software for language sample analysis.
To demonstrate methods for eliciting, transcribing, analyzing, and interpreting language samples.
To illustrate how CLAN can inform diagnostic reports and therapy goal setting.

Main Methods:

Utilizing the Computerized Language Analysis (CLAN) software.
Employing methods for language sample elicitation and transcription.
Applying CLAN routines such as Developmental Sentence Score and Index of Productive Syntax.

Main Results:

CLAN enables fast, thorough, and informative language sample analysis.
Analysis of a hypothetical child speaker using KidEval generated a diagnostic report.
Results indicated potential expressive language delay, guiding further analysis with CLAN metrics.

Conclusions:

CLAN software provides a valuable tool for speech-language pathologists and researchers.
LSA results from CLAN can effectively guide the development of targeted therapy goals.
The tutorial offers practical insights and user support for implementing CLAN.