Abstract
The development of Internet promotes the usage of Internet chat lingo. This type of language is diversified and irregular for natural language processing. In this paper, according to the characteristics of the Chinese and Internet chat lingo, we proposed a method for lingo detection and correction based on the statistic and pinyin similarity. This method applied Bigram model to detect the boundary of lingos, and then corrected them by using pinyin similarity. According to the experimental results and analysis, our method can effectively detect and correct chat lingos.
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Han, B., Li, Z. (2012). Detection and Correction Scheme of Internet Chat Lingo Based on Statistic and Pinyin Similarity. In: Liu, C., Wang, L., Yang, A. (eds) Information Computing and Applications. ICICA 2012. Communications in Computer and Information Science, vol 307. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34038-3_24
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DOI: https://doi.org/10.1007/978-3-642-34038-3_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34037-6
Online ISBN: 978-3-642-34038-3
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