Automatic detection of language impairment

Authors

  • Hali Lindsay German Research Center for Artificial Intelligence (DFKI), Germany Author
  • Johannes Tröger German Research Center for Artificial Intelligence (DFKI), Germany Author
  • Nicklas Linz German Research Center for Artificial Intelligence (DFKI), Germany Author
  • Jan Alexandersson German Research Center for Artificial Intelligence (DFKI), Germany Author
  • Johannes Prudlo University Hospital Rostock, Germany Author

DOI:

https://doi.org/10.36505/ExLing-2019/10/0033/000395

Keywords:

Amyotrophic Lateral Sclerosis, language impairment

Abstract

Amyotrophic Lateral Sclerosis (ALS) is a progressive neurodegenerative disease that presents with cognitive impairment (CI) in up to 50% of cases. In this study, we consider 17 healthy controls’ and 61 ALS patients’—16 with CI and 45 without CI—performances on the cookie theft picture description task. Measures of language impairment are automated and used to evaluate the entire ALS population. Results show that both ALS patients with and without CI show statistically significant differences from healthy controls over four language features.

 

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Published

01-01-2019

How to Cite

Automatic detection of language impairment. (2019). Linguistic Proceedings Series, 10(1), 133-136. https://doi.org/10.36505/ExLing-2019/10/0033/000395

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