@Article{cmes.2026.085408,
AUTHOR = {Wen-Chin Hsu, Yi-Cheng Chen, Yi-Hsuan Kuo},
TITLE = {SE-CSC: A Novel Summarization-Enhanced Chinese Spelling Check with Phonetic and Glyph Embeddings},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {},
YEAR = {},
NUMBER = {},
PAGES = {{pages}},
URL = {http://www.techscience.com/CMES/online/detail/27887},
ISSN = {1526-1506},
ABSTRACT = {Due to the structural complexity of Chinese characters, the occurrence of homophones and visual similarity among glyphs directly increases the difficulties presented in Chinese spell checking (CSC). These factors also indicate the importance of the connection between CSC and context-dependency. In this study, a novel framework, the Summarization-Enhanced Chinese Spell Checking (abbreviated as SE-CSC) model, is proposed, which integrates phonetic and glyph embeddings to further enhance context awareness in error detection and correction. We utilize sentence-level summarization features to augment and generate an error-guided mask that can effectively detect errors and derive more precise corrections. Several comprehensive experiments conducted on real datasets demonstrated the superiority of the proposed SE-CSC compared to existing baselines, particularly in reducing miscorrections and improving accuracy. In addition, attention visualizations and case studies are provided to confirm the ability of SE-CSC for key contextual concentration, offering a structured and adaptable approach for spelling correction in linguistically complex environments.},
DOI = {10.32604/cmes.2026.085408}
}