Paper: Distributional semantic models for the evaluation of disordered language

ACL ID N13-1084
Title Distributional semantic models for the evaluation of disordered language
Venue Annual Conference of the North American Chapter of the Association for Computational Linguistics
Session Main Conference
Year 2013
Authors

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 un- expected 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 automat- ically identify unexpected words in narrative retellings by children with autism. The classi- fication of unexpected words is sufficiently ac- curate to distinguish the retellings of children with autism from those with typical develop- ment. These techniques demonstrate the po- tential of applying automated language anal- ysis techniques to clinically elicited language data for diagnostic purposes.