| 陈勤芳,江钟立.失语症语料库在脑卒中后失语症中应用的研究进展[J].中国康复,2025,40(7):431-435 |
| 失语症语料库在脑卒中后失语症中应用的研究进展 |
| Research progress on the application of AphasiaBank in post-stroke aphasia |
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| DOI：10.3870/zgkf.2025.07.009 |
| 中文关键词: 卒中后失语症 失语症语料库 话语分析 言语-语言治疗 |
| 英文关键词: post-stroke aphasia AphasiaBank discourse analysis speech-language therapy |
| 基金项目:国家重点研发计划项目（2020YFC2008505） |
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| 摘要点击次数: 112 |
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| 中文摘要: |
| 失语症语料库是一个标准化采集话语样本的共享多媒体数据库，话语分析、语法、词汇、手势、流利度、分型和社会因素是失语症语料库的研究热点。本文通过综述近年来失语症语料库的研究成果，发现话语分析是筛查与诊断脑卒中后失语症实际语言功能的重要工具之一，不同话语类型的话语任务可有效提高失语症患者的沟通能力，为脑卒中后失语症的临床康复提供了新的思路和方法，语料库结合人工智能技术将会促进言语-语言治疗技术的发展。 |
| 英文摘要: |
| AphasiaBank is a shared multimedia database that collects discourse samples in a standardized manner, in which discourse, grammar, lexicon, gesture, fluency, classification, and social factors are the research hotspots of AphasiaBank. This article reviews the research results of AphasiaBank in recent years.It was found that discourse analysis is one of the important tools for screening and diagnosing the actual language function of aphasia, and the discourse tasks of different discourse types can effectively improve the communication ability of aphasia. New ideas and methods for the clinical rehabilitation of post-stroke aphasia were provided. The combination of corpus and artificial intelligence technology will promote the development of speech-language therapy technology. |
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