The Study of Error Types of Chinese Learners’ Written Texts: A Chinese Written Corpus-Based Study

Jia Fei Hong*, Hsin Tzu Jen, Yao Ting Sung

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter


The present study aims to tackle the issue of error in written texts by Chinese learners from a macro perspective. Although previous research has demonstrated the significance of positive feedback and effective correction in the realm of Second Language Acquisition (SLA) (Fathman and Whalley, 1990; Ashwell, 2000; Ferris and Robers, 2001; Chandler, 2003), little consensus has been reached regarding its practical implementation in pedagogy. In particular, writing holds a crucial role among the four basic language skills for its complex construction and meaning in written language. However, with the rise of corpus linguistics, new approaches and perspectives have been added to the study of Chinese as a Second Language (CSL) writing (Chang et al., 2015; Hong et al., 2018). In hopes of improving the teaching of writing in an integrated way, this study adopts methodologies from SLA and corpus linguistics to broaden the scale of interdisciplinary research. Through the lens of error analysis, this study examines data from learners with diverse backgrounds in Chinese Written Corpus and analyzes learners’ error types with reference to the categorization proposed by Dulay et al. (1982). The results of this analysis identify possible contributing factors of various types of errors, such as native language and level, which can then be further analyzed and may account for learners’ error patterns. The present study’s findings yield significant insights in outlining the distribution of errors in CSL writing and provide teachers and future researchers with practical advice on the study of teaching strategy, instructional setting, and teaching sequence.

Original languageEnglish
Title of host publicationChinese Language Learning Sciences
Number of pages30
Publication statusPublished - 2023

Publication series

NameChinese Language Learning Sciences
ISSN (Print)2520-1719
ISSN (Electronic)2520-1727


  • CSL
  • Chinese Written Corpus
  • Corpus linguistics
  • Error analysis

ASJC Scopus subject areas

  • Language and Linguistics
  • Education
  • Linguistics and Language
  • Computer Science Applications


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