Purpose: The aim of this study was to advance the analysis of written language transcripts
by validating an automated scoring procedure using an automated open-access tool for …

Background In order to leverage the potential benefits of technology to speech and
language therapy language assessment processes, large samples of naturalistic language …

Narratives skills are associated with long-term academic and social benefits. While students
with disabilities often struggle to produce complete and complex narratives, it remains …

Abstract Background In 2016/17, the CATALISE Consortium published the results of a
multinational and multidisciplinary Delphi consensus study, representing agreement among …

The assessment of children's grammatical skills is a crucial component of diagnosing
language disorders. Elicited production is a commonly used method for obtaining data on a …

Automatic speech recognition (ASR) is an emerging technology that has been used in
recognizing non-typical speech of people with speech impairment and enhancing the …

This study assesses the impact of a working memory training program on the syntactic
complexity of the spontaneous speech of French-speaking children with Developmental …

Purpose: Narrative language sample analysis (LSA) is a recommended best practice for the
assessment of monolingual and bilingual children. With business-as-usual narrative LSA …

Abstract Language sample analysis (LSA) is valuable clinical tool and an important
component of comprehensive language assessment. However, LSA is underutilized in real …

Purpose: Children with a developmental language disorder (DLD) are often delayed in their
grammatical development. This is suggested to be the most important characteristic and …