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| Auteurs principaux: | , , , , , , |
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| Format: | Preprint |
| Publié: |
2024
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| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2409.09170 |
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| _version_ | 1866929500090007552 |
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| author | Ward, Nigel G. Segura, Andres Bugarini, Georgina Lehnert-LeHouillier, Heike Liu, Dancheng Xiong, Jinjun Fuentes, Olac |
| author_facet | Ward, Nigel G. Segura, Andres Bugarini, Georgina Lehnert-LeHouillier, Heike Liu, Dancheng Xiong, Jinjun Fuentes, Olac |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_09170 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Towards Precision Characterization of Communication Disorders using Models of Perceived Pragmatic Similarity Ward, Nigel G. Segura, Andres Bugarini, Georgina Lehnert-LeHouillier, Heike Liu, Dancheng Xiong, Jinjun Fuentes, Olac Computation and Language 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. |
| title | Towards Precision Characterization of Communication Disorders using Models of Perceived Pragmatic Similarity |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2409.09170 |