Simulated annealing clustering of Chinese words for contextual text recognition

被引：12

作者：

Chang, CH

机构：

[1] E000/CCL, Building 11, Indust. Technol. Research Institute, Chutung

来源：

PATTERN RECOGNITION LETTERS | 1996年 / 17卷 / 01期

关键词：

simulated annealing; word clustering; perplexity; optical character recognition; contextual postprocessing;

D O I：

10.1016/0167-8655(95)00080-1

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Simulated annealing clustering algorithms are applied in discovering word classes in a Chinese class n-gram model, which can be used for contextual postprocessing of handwritten Chinese character recognition. Experimental results show that the proposed model achieves much better performance than the dictionary-based models and outperforms the well-known inter-word character bigram model while using less storage.

引用

页码：57 / 66

页数：10

共 17 条

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[3]

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[4]

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[5]

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[6]

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[9]

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[10]

Lee Lin-Shan, 1993, P IEEE INT C AC SPEE, V2, P503

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