Language model of Chinese character recognition and its application

被引：0

作者：

Zhang, S ^{[1
]}

Wu, XL ^{[1
]}

机构：

[1] Chinese Acad Sci, Inst Automat, Engn Ctr Character Recognit, Beijing 100080, Peoples R China

来源：

2000 5TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, VOLS I-III | 2000年

关键词：

character recognition; Markov language model; combined model; cache-based model language model; trigram model; 3g-gram model;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents a 5-gram combined model that can reflect features of Chinese and Chinese character recognition based on introducing several kinds of Markov language models. The major feature of this model is that it captures both forward and backward statistical characters of one word. The model contains three traditional "trigram components", a "cache component" which reflects short-term patterns of word use, and a "3g-gram component" based on a new classification method that is fast and automatic. Experiment on a 1,500,000-word corpus shows significant improvement achieved by the proposed model.

引用

页码：1507 / 1513

页数：7

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