Towards Precision Characterization of Communication Disorders using Models of Perceived Pragmatic Similarity

Nigel G. Ward, Andres Segura, Georgina Bugarini, Heike Lehnert-LeHouillier, Dancheng Liu +2 more
9/13/2024
cs.CL

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Abstract

The diagnosis and treatment of individuals with communication disorders offers many opportunities for the application of speech technology, but research so far has not adequately considered: the diversity of conditions, the role of pragmatic deficits, and the challenges of limited data. This paper explores how a general-purpose model of perceived pragmatic similarity may overcome these limitations. It explains how it might support several use cases for clinicians and clients, and presents evidence that a simple model can provide value, and in particular can capture utterance aspects that are relevant to diagnoses of autism and specific language impairment.

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Cite this paper

@article{ward2024towards,
  title  = {Towards Precision Characterization of Communication Disorders using Models of Perceived Pragmatic Similarity},
  author = {Nigel G. Ward and Andres Segura and Georgina Bugarini and Heike Lehnert-LeHouillier and Dancheng Liu and Jinjun Xiong and Olac Fuentes},
  year   = {2024},
  eprint = {2409.09170},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2409.09170v1}
}

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