Towards Precision Characterization of Communication Disorders using Models of Perceived Pragmatic Similarity
Not on the map. Why?
Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 8 of its 31 references that are in the map. First posted on arXiv 13 Sep 2024.
Builds on
8 of 31 references.
References · 8
- 2023Seamless: Multilingual Expressive and Streaming Speech Translationcited by 190
- 2022Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Textcited by 154
- 2020How Can We Accelerate Progress Towards Human-like Linguistic Generalization?cited by 114
- 2019Beyond BLEU: Training Neural Machine Translation with Semantic Similaritycited by 84
- 2022Words are all you need? Language as an approximation for human similarity judgmentscited by 18
- 2022A Textless Metric for Speech-to-Speech Comparisoncited by 4
- 2024A Collection of Pragmatic-Similarity Judgments over Spoken Dialog Utterancescited by 2
- 2024Which Prosodic Features Matter Most for Pragmatics?cited by 2
Built on by
Not cited yet.