Morphosyntactic Analysis of Language in Children with Autism Spectrum Disorder

  • Raquel Reis
  • António Teixeira
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7243)

Abstract

Autism is a neurodevelopmental disorder that involves severe and persistent deficits in social interaction, language and communication. This study aims to contribute to the characterization of the language of children with ASD (Autism Spectrum Disorders) in regard to morphology and syntax (morphosyntactic classes, most frequent words, use of personal pronouns, inflections of verbs: tense and person and syntactic structure). The four selected children, diagnosed with ASD, were recorded during activities that promoted speech. The records were transcribed and processed by PALAVRAS parser. The more frequent morphosyntactic classes detected were verbs and names. The most used determinants were the definite articles and, as far as adverbs are concerned, the most frequently used ones were adverbs of place. The syntactic structures were simple and short. The automated tools used for processing and analysis proved to be extremely functional and practical, with fast and effective results, opening the possibility of its usage for evaluation purposes in speech therapy practice.

Keywords

Autism Spectrum Disorder Autism Spectrum Disorder Frequent Word Asperger Syndrome Syntactic Structure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Raquel Reis
    • 1
  • António Teixeira
    • 2
  1. 1.Speech and Hearing SciencesUniversidade de AveiroAveiroPortugal
  2. 2.Dep. Electrónica Telecomunicações e Informática/IEETAUniversidade de AveiroAveiroPortugal

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