Purpose: Speech fluency has important diagnostic implications for individuals with
poststroke aphasia (PSA) as well as primary progressive aphasia (PPA), and quantitative …

Purpose: Narration within a story grammar framework requires speakers to organize
characters and events logically. Despite abundant research characterizing narrative deficits …

The rapid development of large language models (LLMs) motivates us to explore how such
state-of-the-art natural language processing systems can inform aphasia research. What …

Discourse is a fundamentally important aspect of communication, and discourse production
provides a wealth of information about linguistic ability. Aphasia commonly affects, in …

Introduction Traumatic brain injury (TBI) negatively impacts social communication in part due
to social cognitive difficulties, which may include reduced mental state term (MST) use in …

Prior research supports the use of natural language sampling (NLS) to assess the rate of
speech utterances (URate) and the rate of conversational turns (CTRate) in minimally verbal …

Purpose: This study explored the use of an automated language analysis tool, FLUCALC, for
measuring fluency in aphasia. The purpose was to determine whether CLAN's FLUCALC …

Purpose: To understand how best to assess the language abilities of preterm-born children,
this study:(a) compared preterm-and term-born children's language skills using standardized …

Background While many measures exist for assessing discourse in aphasia, manual
transcription, editing, and scoring are prohibitively labor intensive, a major obstacle to their …

Aims To detect differences in speech fluency in separate primary progressive aphasia
syndromes (PPA) using automated analysis techniques. The resulting linguistic features are …