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Volume 15 Issue 6
November  2000
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XU Zhiming, WANG Xiaolong. A New Linguistic Decoding Method for Online Handwritten Chinese Character Recognition[J]. Journal of Computer Science and Technology, 2000, 15(6): 597-604.
Citation: XU Zhiming, WANG Xiaolong. A New Linguistic Decoding Method for Online Handwritten Chinese Character Recognition[J]. Journal of Computer Science and Technology, 2000, 15(6): 597-604.
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A New Linguistic Decoding Method for Online Handwritten Chinese Character Recognition

  • Department of Computer Science and Engineering; Harbin Institute of Technolopy Harbin 150001; P.R. China ;

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  • Published Date: November 09, 2000
    Abstract
  • 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…
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    • References (3)
  • [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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