An Analysis of Syntactic Errors: One Case Study
- DOI
- 10.2991/978-2-494069-89-3_58How to use a DOI?
- Keywords
- Corder; Error classification; The source of the errors
- Abstract
With the development of globalization, error analysis in second language acquisition theory has received increasing attention from scholars. Significant progress has been made in error feedback, correction, and treatment. In this article, the five steps proposed by Corder of collecting, identifying, describing, explaining, and evaluating errors are used to analyze the statistical data and elaborate on the oral syntactic error classification of one case. The errors are divided into five categories: tense, consistency, component missing, composition of redundant, and mismatch, and each is classified in more details. Then, reasons accounting for those errors are explained from the negative transfer of native language, target language and cultural factors, learning strategies and communicative strategies, and influence of learning environment. Finally, it is suggested that we should establish correct concepts in the face of errors and apply error analysis to teaching practice.
- Copyright
- © 2022 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Xiao Tan PY - 2022 DA - 2022/12/30 TI - An Analysis of Syntactic Errors: One Case Study BT - Proceedings of the 2022 5th International Conference on Humanities Education and Social Sciences (ICHESS 2022) PB - Atlantis Press SP - 489 EP - 501 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-494069-89-3_58 DO - 10.2991/978-2-494069-89-3_58 ID - Tan2022 ER -