A Multi-granulariry Chinese Word Segmentation Method Based on Semantic Similarity for Risk Sources

Author(s):  
Zhi Li ◽  
Jiaqiang Wang ◽  
Bei Zhang ◽  
Yanfang Zhang ◽  
Xueling Ji ◽  
...  
2013 ◽  
Vol 427-429 ◽  
pp. 2568-2571
Author(s):  
Shu Xian Liu ◽  
Xiao Hua Li

This article provides a brief introduction to Natural Language Processing and basic knowledge of Chinese Word Segmentation at first. Chinese Word Segmentation is a process of turning a series of Chinese characters into a series of Chinese words with some rules. As the fundamental component of Chinese information processing, it is wildly used in correlative areas. Accordingly, research on Chinese Word Segmentation has important theoretic and realistic meaning. In this paper, we mainly introduces the challenge in Chinese Word Segmentation, and presented the categories of Chinese Word Segmentation method.


2013 ◽  
Vol 791-793 ◽  
pp. 1622-1625
Author(s):  
Dan Han ◽  
Zhi Han Yu

In this article, we mainly introduce some basic concepts about machine translation. Machine translation means translating a natural language text to another by software. It can be divided into two categories: rule-based and corpus-based. IBM's statistical machine translation, Microsoft's multi-language machine translation project, AT & T's voice translation system and CMUs PANGLOSS system are three typical machine translation systems. Due to sentences are constructed by words continuously in Chinese. Chinese word segmentation is very essential. Three methods of Chinese word segmentation: segmentation methods based on string matching, segmentation method based on the understanding and segmentation method based on the statistics.


2021 ◽  
Vol 1848 (1) ◽  
pp. 012050
Author(s):  
Yang Dong ◽  
Yang Zheng ◽  
Xu Zhang ◽  
Jing Gao ◽  
Zheng Fan

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