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Published on: March 11, 2021
Automated Syntactic Analysis of Language Abilities in Persons with Mild and Subjective Cognitive Impairment
Kristina Lundholm Fors1, Kathleen Fraser1, Dimitrios Kokkinakis1
1Department of Swedish Language, University of Gothenburg, Sweden.
Abstract:
In this work we analyze the syntactic complexity of transcribed Swedish-language 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.
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