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A New Linguistic Decoding Method for Online Handwritten Chinese Character Recognition

XU Zhiming; WANG Xiaolong;   

  1. Department of Computer Science and Engineering; Harbin Institute of Technolopy Harbin 150001; P.R. China ;
  • Online:2000-11-10 Published:2000-11-10

This paper presents a new linguistic decoding method for online handwritten Chinese character recognition. The method employs a hybrid language model which combines N-gram and linguistic rules by rule quantification technique. The linguistic decoding algorithm consists of three stages: word lattice construction, the optimal sentence hypothesis search and self-adaptive learning mechanism. The technique has been applied to palmtop computer's online handwritten Chinese character recognition. Samples containin…

Key words: SoC; self-test; hybrid BIST;



[1] Wang Xuan. The research of computational language model of speech and character input

[dissertation]. Hasbin Institute of Technology, 1997, pp.60-70.

[2] McMahon J, Smith F J. A review of statistical language processing technology. Artificial Intelligence Review, the Queen's University of Belfast, Ireland, 1998, 12(5): 347-391.

[3] Ronald Roaenfeld. Adaptive statistical language modeling: A maximum entropy approach

[dissertation]. Carnegie Mellon University, Pittsburgh, PA, April 1994, pp.l-8. ……….
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ISSN 1000-9000(Print)

         1860-4749(Online)
CN 11-2296/TP

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