Automated morphological analysis of clinical language samples

Kyle Gorman, Steven Bedrick, Géza Kiss, Eric Morley, Rosemary Ingham, Metrah Mohammad, Katina Papadakis, Jan Van Santen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Quantitative analysis of clinical language samples is a powerful tool for assessing and screening developmental language impairments, but requires extensive manual transcription, annotation, and calculation, resulting in error-prone results and clinical underutilization. We describe a system that performs automated morphological analysis needed to calculate statistics such as the mean length of utterance in morphemes (MLUM), so that these statistics can be computed directly from orthographic transcripts. Estimates of MLUM computed by this system are closely comparable to those produced by manual annotation. Our system can be used in conjunction with other automated annotation techniques, such as maze detection. This work represents an important first step towards increased automation of language sample analysis, and towards attendant benefits of automation, including clinical greater utilization and reduced variability in care delivery.

Original languageEnglish (US)
Title of host publication2nd Computational Linguistics and Clinical Psychology
Subtitle of host publicationFrom Linguistic Signal to Clinical Reality, CLPsych 2015 - Proceedings of the Workshop
PublisherAssociation for Computational Linguistics (ACL)
Pages108-116
Number of pages9
ISBN (Electronic)9781941643433
StatePublished - 2015
Event2nd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, CLPsych 2015 - Denver, United States
Duration: Jun 5 2015 → …

Publication series

Name2nd Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, CLPsych 2015 - Proceedings of the Workshop

Conference

Conference2nd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, CLPsych 2015
Country/TerritoryUnited States
CityDenver
Period6/5/15 → …

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Language and Linguistics
  • Linguistics and Language
  • Clinical Psychology
  • Psychiatry and Mental health

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