Abstract
This paper proposes a Combination of rules and statistics algorithm. Firstly, this research uses the rule-based approach to identify the abbreviation. Secondly, the full name candidates of the abbreviation are recognized based on n-gram feature. Thirdly, we use the rule and statistic based algorithm to identify the best candidate for the abbreviation. The method of abbreviation recognition has achieved a high accuracy rate, and it is independent, portable and efficient. The method of the full name recognition is superior to the approach introduced in related work on the basis of analyzing and comparing experiment results.
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Hua, Y., Yu, H., Zhenwei, H., Jianmin, Y., Mingming, Z., Yanhui, F. (2011). Combination Method of Rules and Statistics for Abbreviation and Its Full Name Recognition. In: Jiang, L. (eds) Proceedings of the 2011 International Conference on Informatics, Cybernetics, and Computer Engineering (ICCE2011) November 19-20, 2011, Melbourne, Australia. Advances in Intelligent and Soft Computing, vol 110. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25185-6_90
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DOI: https://doi.org/10.1007/978-3-642-25185-6_90
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