Natural language processing techniques for studying language in pathological ageing: A sco** review

G Gagliardi - … Journal of Language & Communication Disorders, 2024 - Wiley Online Library
Background In the past few years there has been a growing interest in the employment of
verbal productions as digital biomarkers, namely objective, quantifiable behavioural data …

Automated analysis of lexical features in frontotemporal degeneration

S Cho, N Nevler, S Ash, S Shellikeri, DJ Irwin… - Cortex, 2021 - Elsevier
We implemented an automated analysis of lexical aspects of semi-structured speech
produced by healthy elderly controls (n= 37) and three patient groups with frontotemporal …

[HTML][HTML] A computational analysis of transcribed speech of people living with dementia: The Anchise 2022 Corpus

F Sigona, DP Radicioni, BG Fivela, D Colla… - Computer Speech & …, 2025 - Elsevier
Introduction Automatic linguistic analysis can provide cost-effective, valuable clues to the
diagnosis of cognitive difficulties and to therapeutic practice, and hence impact positively on …

Automated analysis of digitized letter fluency data

S Cho, N Nevler, N Parjane, C Cieri… - Frontiers in …, 2021 - frontiersin.org
The letter-guided naming fluency task is a measure of an individual's executive function and
working memory. This study employed a novel, automated, quantifiable, and reproducible …

Development of a speech-based composite score for remotely quantifying language changes in frontotemporal dementia

J Robin, M Xu, LD Kaufman, W Simpson… - Cognitive and …, 2023 - journals.lww.com
Background: Changes to speech and language are common symptoms across different
subtypes of frontotemporal dementia (FTD). These changes affect the ability to …

Changes in Digital Speech Measures in Asymptomatic Carriers of Pathogenic Variants Associated With Frontotemporal Degeneration

N Nevler, S Cho, KAQ Cousins, S Ash, CA Olm… - Neurology, 2024 - AAN Enterprises
Background and Objectives Clinical trials develo** therapeutics for frontotemporal
degeneration (FTD) focus on pathogenic variant carriers at preclinical stages. Objective …

Reflections on 30 years of language resource development and sharing

C Cieri, M Liberman, S Cho, S Strassel… - Proceedings of the …, 2022 - aclanthology.org
Abstract The Linguistic Data Consortium was founded in 1992 to solve the problem that
limitations in access to shareable data was impeding progress in Human Language …

Automatic classification of AD pathology in FTD phenotypes using natural speech

S Cho, CA Olm, S Ash, S Shellikeri… - Alzheimer's & …, 2024 - Wiley Online Library
INTRODUCTION Screening for Alzheimer's disease neuropathologic change (ADNC) in
individuals with atypical presentations is challenging but essential for clinical management …

AI-Based Speech Assessment of Cognitive Impairment Disorders

J Glass - 2023 - dspace.mit.edu
Previous research has shown that speech can be used to detect cognitive impairment in
patients with dementia and other neurodegenerative diseases. These diseases produce …

A Preliminary Study of MLSE/ACE-III Stages for Primary Progressive Aphasia Automatic Identification Using Speech Features

A J. Valdés Cuervo, E Herrera… - … Conference on Soft …, 2023 - Springer
Abstract Primary Progressive Aphasia (PPA) is a syndrome causing progressive
deterioration of language and speech due to brain degeneration. Three variants exist: non …