Abstract
Traditional Chinese text automatic proofreading technology is mainly focused on one or more pre-set error types, the proofreading performance in a real scene needs to be improved. This paper proposes a real scene oriented Chinese text proofreading system model for Chinese text automatic proofreading. Real scene oriented Chinese text automatic proofreading strategy is provided after analyzing performance requirements of automatic proofreading system for the real scene. The model is expected to provide new thoughts for future development of proofreading for Chinese text.
This paper is funded by the Natural Science Foundation of China (NSFC, Grant No.61070119), the Project of Construction of Innovative Teams and Teacher Career Development for Universities and Colleges Under Beijing Municipality (Grant No. IDHT20130519) and the Beijing Municipal Education Commission Special Fund (Grant No. PXM2012-014224-000020).
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Jiao, J., Zhang, Y. (2013). Real Scene Oriented Chinese Text Automatic Proofreading Technology. In: Liu, P., Su, Q. (eds) Chinese Lexical Semantics. CLSW 2013. Lecture Notes in Computer Science(), vol 8229. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45185-0_41
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DOI: https://doi.org/10.1007/978-3-642-45185-0_41
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