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Automated Syntactic Analysis of Language Abilities in Persons with Mild and Subjective Cognitive Impairment

Conference paper
Authors Kristina Lundholm Fors
Kathleen Fraser
Dimitrios Kokkinakis
Published in Building continents of knowledge in oceans of data : the future of co-created eHealth: proceedings of MIE2018, 24-26 April 2018, Gothenburg, Sweden / edited by Adrien Ugon, Daniel Karlsson, Gunnar O. Klein and Anne Moen.
ISBN 978-1-61499-851-8
ISSN 0926-9630
Publisher IOS Press
Place of publication Amsterdam
Publication year 2018
Published at Department of Swedish
Language en
Keywords cognitive impairment, syntactic analysis, Natural Language Processing
Subject categories Language Technology (Computational Linguistics), Linguistics


In this work we analyze the syntactic complexity of transcribed picture descriptions using a variety of automated syntactic features, and investigate the features’ predictive power in classifying narratives from people with subjective and mild cognitive impairment and healthy controls. Our results indicate that while there are no statistically significant differences, syntactic features can still be moderately successful at distinguishing the participant groups when used in a machine learning framework.

Page Manager: Webmaster|Last update: 9/11/2012

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