Machine Learning on language style

被引：0

作者：

Wang, Yufeng ^{[1
]}

Wang, Zhiliang ^{[1
]}

Lu, Xiaojuan ^{[1
]}

Chen, Liang ^{[1
]}

Zhao, Jian ^{[1
]}

Che, Lingling ^{[1
]}

Zai, Ying ^{[1
]}

Wang, Lijuan ^{[1
]}

机构：

[1] Univ Sci & Technol Beijing, Informat Sch, Dept Elect & Informat, Beijing 100083, Peoples R China

来源：

CMESM 2006: Proceedings of the 1st International Conference on Enhancement and Promotion of Computational Methods in Engineering Science and Mechanics | 2006年

关键词：

Machine Learning; Natural Language Processing; artificial psychology; affective computing;

D O I：

暂无

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

To find out the method of Language Style Machine Learning, established a natural language communication model with Abstract Algebra. Analyze the relations on the model. Note the Universal Property of free semigroups for Word Monoids. Conclude by a practical example that the word class and the word order are two stable elements during language transferring. Because that the word class and the word order are two parts of phrase structure, the phrase structure is the feature of language style. We can apply Natural Language Processing method to get the feature of language style, automatically by phrase structure identification and phrase structure probabilities counting. Thus establish a foundation for further Machine Learning.

引用

页码：380 / 382

页数：3

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