Age-Related Decline of Classifier Usage in Southwestern Mandarin

Yun Feng, Yan Feng, Chenwei Xie, William Shi Yuan Wang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

This pilot study examined the age-related decline of classifier usage in Southwestern Mandarin through comparing classifier score and the number of the default classifier ge among older adults aged 50-87 years. They were grouped into healthy, mild cognitive impairment (MCI) and Alzheimer's disease (AD) groups based on Montreal Cognitive Assessment. AD group used significantly more inappropriate classifiers and the default classifier ge than healthy group. Results also showed a significant correlation between cognitive/semantic abilities and classifier usage, indicating that the deficit of classifier usage was associated with declined cognitive/semantic abilities. Decline of semantic cognition with aging, specifically semantic store and processing, has been postulated as possible underlying explanation. However, no significant difference was found in classifier usage between healthy and MCI groups, which might reveal that their classifier usage and semantic cognition was still normal.

Original languageEnglish
Title of host publication2021 12th International Symposium on Chinese Spoken Language Processing, ISCSLP 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728169941
DOIs
Publication statusPublished - 24 Jan 2021
Event12th International Symposium on Chinese Spoken Language Processing, ISCSLP 2021 - Hong Kong, Hong Kong
Duration: 24 Jan 202127 Jan 2021

Publication series

Name2021 12th International Symposium on Chinese Spoken Language Processing, ISCSLP 2021

Conference

Conference12th International Symposium on Chinese Spoken Language Processing, ISCSLP 2021
Country/TerritoryHong Kong
CityHong Kong
Period24/01/2127/01/21

Keywords

  • aging
  • classifiers
  • language decline
  • semantic cognition

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Linguistics and Language

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