Abstract
Automatic error-detecting for Chinese text is one of the important issues in the field of Chinese Information Processing. The current study of text error-detecting focuses on words-level and syntactic-level, but semantic error-detecting has not got enough attention. For this reason, we studied semantic collocations of sentences, and built up a words dependency knowledge base; at meanwhile, combined with the description of concept of words in HowNet, we proposed a semantic error-detecting strategy for Chinese text. Experimental results show that this method has a better performance in semantic error-detecting. © 2013 Springer-Verlag.
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CITATION STYLE
Li, J., Zhang, Y., Zhu, J., & Zhang, Z. (2013). Semantic automatic error-detecting for Chinese text based on semantic dependency relationship. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8229 LNAI, pp. 406–415). https://doi.org/10.1007/978-3-642-45185-0_43
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