Part of Speech Production in Patients With Primary Progressive Aphasia: An Analysis Based on Natural Language Processing.

ABSTRACT: Background Primary progressive aphasia (PPA) is a neurodegenerative disorder characterized by a progressive decline of language functions. Its symptoms are grouped into three PPA variants: nonfluent PPA, logopenic PPA, and semantic PPA. Grammatical deficiencies differ depending on the PPA variant. Aims This study aims to determine the differences between PPA variants with respect to part of speech (POS) production and to identify morphological markers that classify PPA variants using machine learning. By fulfilling these aims, the overarching goal is to provide objective measures that can facilitate clinical diagnosis, evaluation, and prognosis. Method and Procedure Connected speech productions from PPA patients produced in a picture description task were transcribed, and the POS class of

SUBMITTER: Themistocleous C 

PROVIDER: S-EPMC8702871 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature