Manchu handwritten character recognition post-processing based on the combination language model

被引：0
|
作者：
Zhang, GY [1 ]
Li, JJ [1 ]
Wang, AX [1 ]
机构：
[1] Northeastern Univ, Sch Informat Sci & Engn, Shenyang 110004, Peoples R China
来源：
PROCEEDINGS OF THE 2005 IEEE INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING (IEEE NLP-KE'05) | 2005年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a combination Manchu language model on post-processing optimization for handwritten Manchu characters recognition. The thinking of this model is take corpus as post-processing core and rule assistant correction. The model is based on a Manchu machine dictionary. The aim of work is to explore the language model in order to optimize the recognition accuracy rate. Present method focuses on the following tasks: a Manchu machine dictionary organization; rule description language; the contents of form grammar rule base; and corpus building. Experimental results are reported using the combination language model is efficient on the Manchu handwritten characters recognition post-processing.
引用
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页码：42 / 46
页数：5
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