Abstract：The use of computer automatic text analysis in the study of the elders’ discourse is an essential application of artificial intelligence in the field of Gerontolinguisitcs. Coh-Metrix and LIWC are two most commonly-used automatic text analysis tools, which have been widely used in the study of Gerontolinguistics abroad. Coh-Metrix evaluates the coherence and cohesion of the elders’ discourse from the perspective of discourse structure features. LIWC mainly measures the elders’ vocabulary to investigate their thinking mode, inner state, and personality characteristics. Both tools demonstrate the feasibility of computer-automated text analysis for early diagnosis of dementia with important clinical implications. Future research can focus on the automatic transcription and segmentation, conducting long-term follow-up research on dementia patients to improve the accuracy of diagnosis and early detection of cognitive function changes in clinical trials. This paper also suggests to speed up the construction of a Chinese elders’ discourse-tagged corpus and develop automatic text analysis tools for the Chinese language.
黄立鹤，曲惠宇，杨晶晶. 老年话语的计算机自动文本分析：进展与前景[J]. 语言战略研究, 2022, 7(3): 88-96.
Huang Lihe, Qu Huiyu and Yang Jingjing. The Application of Computer Automatic Text Analysis in the Study of Gerontolinguistics: Progress and Prospect. , 2022, 7(3): 88-96.
