A preliminary study of Chinese hierarchical grammar development

Jia Fei Hong, Zi Yin Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Grammar has always occupied an important area in teaching Chinese as a foreign language, and is considered foundational to communication. However, grammar only can represent fragments of thoughts, and the complete communication of ideas must be based on grammatical structure. As such, Chinese grammatical structure is foundational to learning the language. In teaching materials, grammar lessons should be arranged in an order that centers around the learner's needs. In particular, the arrangement of grammars within the teaching material is crucial for foreign learners, and should be undertaken with extra care. A digitized system designed with grammars as its functional orientation can meet the different needs of teachers and students of Chinese, as well as editors of Chinese teaching materials, offering strong support for the teaching and learning of the language.

Original languageEnglish
Title of host publicationProceedings of the 2016 International Conference on Asian Language Processing, IALP 2016
EditorsMinghui Dong, Chung-Hsien Wu, Yanfeng Lu, Haizhou Li, Yuen-Hsien Tseng, Liang-Chih Yu, Lung-Hao Lee
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages150-155
Number of pages6
ISBN (Electronic)9781509009213
DOIs
Publication statusPublished - 2017 Mar 10
Event20th International Conference on Asian Language Processing, IALP 2016 - Tainan, Taiwan
Duration: 2016 Nov 212016 Nov 23

Publication series

NameProceedings of the 2016 International Conference on Asian Language Processing, IALP 2016

Other

Other20th International Conference on Asian Language Processing, IALP 2016
Country/TerritoryTaiwan
CityTainan
Period2016/11/212016/11/23

Keywords

  • Chinese
  • Grammar
  • Hierarchical

ASJC Scopus subject areas

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

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