Distributional semantic models for the evaluation of disordered language

Masoud Rouhizadeh, Emily Prud'Hommeaux, Brian Roark, Jan Van Santen

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

12 Scopus citations

Abstract

Atypical semantic and pragmatic expression is frequently reported in the language of children with autism. Although this atypicality often manifests itself in the use of unusual or unexpected words and phrases, the rate of use of such unexpected words is rarely directly measured or quantified. In this paper, we use distributional semantic models to automatically identify unexpected words in narrative retellings by children with autism. The classification of unexpected words is sufficiently accurate to distinguish the retellings of children with autism from those with typical development. These techniques demonstrate the potential of applying automated language analysis techniques to clinically elicited language data for diagnostic purposes.

Original languageEnglish (US)
Title of host publicationNAACL HLT 2013 - 2013 Conference of the North American Chapter of the Association for Computational Linguistics
Subtitle of host publicationHuman Language Technologies, Proceedings of the Main Conference
PublisherAssociation for Computational Linguistics (ACL)
Pages709-714
Number of pages6
ISBN (Electronic)9781937284473
StatePublished - Jan 1 2013
Event2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2013 - Atlanta, United States
Duration: Jun 9 2013Jun 14 2013

Publication series

NameNAACL HLT 2013 - 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Main Conference

Other

Other2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2013
CountryUnited States
CityAtlanta
Period6/9/136/14/13

ASJC Scopus subject areas

  • Language and Linguistics
  • Computer Science Applications
  • Linguistics and Language

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