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Automated analysis of pragmatic language development in ASD

Automated analysis of pragmatic language development in ASD
ASD 语用语言发展的自动分析
批准号:
10438314
负责人:
Emily Prud'hommeaux
金额:
$3.27万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-07-15 至 2022-06-30

项目摘要

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中文摘要
翻译
联系PD/PI: Prud'hommeaux, Emily
英文摘要
Contact PD/PI: Prud'hommeaux, Emily PROJECT SUMMARY Autism spectrum disorder (ASD) is a neurodevelopmental condition associated with life-long deficits in communication and social engagement. Among these deficits is impaired pragmatic expression, or the inappropriate use of language in a given context. Because of the pragmatic difficulties they experience, individuals with ASD face challenges in establishing interpersonal relationships, maintaining satisfactory employment, and achieving independence. Despite the impact that deficits in pragmatic expression have on the outcomes of individuals with ASD, researchers do not agree on precisely what functions are impaired, particularly in high-functioning adults. Analyzing spontaneous spoken language is the most effective way to reveal these impairments, but the resources and expertise required for such analysis have thus far made this approach impractical. In this project, we propose using computational language analysis methods to convert speech into text transcripts and to automatically identify specific areas of pragmatic deficit in those transcripts. We explore these methods using spoken language data we will collect from high-functioning verbal adults with ASD and with typical development. In the course of this project, we will investigate: (1) the precise pragmatic functions that are affected in high- functioning adults with ASD; (2) the extent to which these and other reported pragmatic deficits are observed in individuals with ASD regardless of age; and (3) the accuracy of our novel computational methods for extracting these metrics from spontaneous spoken language samples. While achieving these aims, we will explore the utility of automated analysis of spoken language, setting the stage for a future proposal to develop an automated software tool for analyzing spoken language to identify specific areas of deficit in pragmatic expression. A tool for automatically identifying strengths and weaknesses in pragmatic expression could offer utility not only to researchers investigating language functioning in ASD but also to clinicians tasked with diagnosis and health professionals working to develop targeted therapies and interventions. Such interventions could lead to more favorable social outcomes for individuals of all ages with ASD and higher rates of employment among adults with ASD, potentially yielding reductions in costs associated with and resources allocated for serving the needs of this special population. Project Summary/Abstract Page 6
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
DOI: 10.18653/v1/2020.bea-1.18
发表时间: 2020-07
期刊: Proceedings of the conference. Association for Computational Linguistics. Meeting
影响因子: --
作者: [Wang Y, Prud'hommeaux E, Asgari M, Dolata J]
通讯作者: Dolata J
Evaluating the Performance of Transformer-based Language Models for Neuroatypical Language.
评估基于 Transformer 的神经非典型语言语言模型的性能。
DOI: --
发表时间: 2022
期刊: Proceedings of COLING. International Conference on Computational Linguistics
影响因子: --
作者: [Liu,Duanchen, Liu,Zoey, Yang,Qingyun, Huang,Yujing, Prud'hommeaux,Emily]
通讯作者: Prud'hommeaux,Emily
海外基金