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Related Experiment Video

Updated: Mar 23, 2026

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

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Using Language Sample Analysis to Assess Spoken Language Production in Adolescents.

Jon F Miller, Karen Andriacchi, Ann Nockerts

Language, Speech, and Hearing Services in Schools

|April 5, 2016

Summary

This summary is machine-generated.

Systematic Analysis of Language Transcripts (SALT) software simplifies assessing adolescent spoken language. Comparing samples to databases highlights individual language performance relative to peers.

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Area of Science:

Speech and Language Pathology
Developmental Psychology
Computational Linguistics

Background:

Language sample analysis (LSA) is crucial for understanding spoken language production.
Systematic Analysis of Language Transcripts (SALT) software provides tools for LSA.
Reference databases of language samples from typical speakers (ages 3-18) are available within SALT.

Observation:

Over 30 years of data collection from diverse conversational and narrative contexts.
SALT software enables comparison of individual language samples to age- and grade-matched peer databases.
Case studies demonstrate how deviations from database means (in standard deviations) highlight language strengths and weaknesses.

Findings:

Comparison with normative data effectively identifies language measures that differ from typical adolescent development.
The SALT software facilitates efficient and standardized language sample analysis.
Standard deviation measures provide a quantitative approach to interpreting language sample findings.

Implications:

LSA using SALT is a powerful tool for documenting language use in real-world speaking situations.
Identifying specific language demands and challenges informs targeted interventions.
Strong spoken communication skills are foundational for literacy, academic success, and social integration.