@inproceedings{yeh-etal-2017-chinese,
    title = "{C}hinese Spelling Check based on N-gram and String Matching Algorithm",
    author = "Yeh, Jui-Feng  and
      Chang, Li-Ting  and
      Liu, Chan-Yi  and
      Hsu, Tsung-Wei",
    editor = "Tseng, Yuen-Hsien  and
      Chen, Hsin-Hsi  and
      Lee, Lung-Hao  and
      Yu, Liang-Chih",
    booktitle = "Proceedings of the 4th Workshop on Natural Language Processing Techniques for Educational Applications ({NLPTEA} 2017)",
    month = dec,
    year = "2017",
    address = "Taipei, Taiwan",
    publisher = "Asian Federation of Natural Language Processing",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/W17-5906/",
    pages = "35--38",
    abstract = "This paper presents a Chinese spelling check approach based on language models combined with string match algorithm to treat the problems resulted from the influence caused by Cantonese mother tone. N-grams first used to detecting the probability of sentence constructed by the writers, a string matching algorithm called Knuth-Morris-Pratt (KMP) Algorithm is used to detect and correct the error. According to the experimental results, the proposed approach can detect the error and provide the corresponding correction."
}