摘要
由于患病率不断攀升,加之诊断和干预资源严重匮乏,自闭症已演变成为全球性重大公共卫生问题。开展自闭症人群多模态话语及智能辅助诊断与干预研究是积极应对这一挑战的重要举措。本文首先梳理了国外自闭症人群多模态交际话语和他者关涉自闭症人群话语两方面的研究成果,然后介绍了国外基于多模态数据的自闭症人工智能辅助诊断与干预研究进展。
Autism has become a major global public health issue due to its rising prevalence rates and severe shortage of diagnostic and intervention resources.Studies of multimodal discourse and AI-assisted diagnosis and intervention of Autism Spectrum Disorder(ASD)play a vital role in actively addressing this challenge.This paper reviews fi rst the research on the multimodal interactive discourse produced by autistic people and the discourse about ASD produced by other people and then the research on AI-assisted diagnosis and intervention of ASD on the basis of multimodal data abroad.
作者
马博森
曾小荣
龚然
Ma Bosen;Zeng Xiaorong;Gong Ran
出处
《语言战略研究》
2020年第2期51-60,共10页
Chinese Journal of Language Policy and Planning
基金
国家社科基金重点项目“汉语自闭症儿童和正常儿童的多模态指称策略对比研究”(17AYY009)的阶段性研究成果
关键词
自闭症
多模态话语
人工智能
辅助诊断
辅助干预
Autism Spectrum Disorder(ASD)
multimodal discourse
artifi cial intelligence
assisted diagnosis
assisted intervention