大数据2026，Vol.12Issue(5)：97-113,17.DOI:10.11959/j.issn.2096-0271.BDR26164
构建面向汉语二语学习者的手写作文语法纠错数据集:方法与应用
Constructing handwritten grammatical error correction dataset for CSL learners:methodology and application
摘要
Abstract
Current research on Chinese grammatical error correction mainly relies on printed text datasets and lacks dedicated data for handwritten text.Accordingly,a handwriting Chinese grammatical error correction dataset for Chinese as a second language learners was constructed.Using authentic handwritten compositions as the corpus,an optimized optical character recognition system was employed to process noise such as overwriting and revisions.Through text recognition,standardized annotation,image-text alignment,and quality validation,fine-grained,multi-modal annotated data was generated.The dataset comprises 8 726 valid samples,covering 599 fine-grained error types,and can provide data support for grammatical error correction,error diagnosis,and intelligent Chinese language teaching in handwriting scenarios.关键词
中文语法纠错/手写作文批改/汉语二语/数据集构建/光学字符识别Key words
Chinese grammatical error correction/handwritten composition correction/Chinese as a second language/dataset construction/optical character recognition分类
信息技术与安全科学引用本文复制引用
李春秋,张潇晓,梁远远,袁丹,兰韵诗,王晔..构建面向汉语二语学习者的手写作文语法纠错数据集:方法与应用[J].大数据,2026,12(5):97-113,17.基金项目
华东师范大学文理交叉跨学科培育项目(No.2025ECNU-WLJC007) The Interdisciplinary Cultivation Program for ArtsScience Integration,East China Normal University(No.2025ECNU-WLJC007) （No.2025ECNU-WLJC007）
