Research on automatic recognition of Tibetan personal names based on multi-features

Yuan Sun, Xiaodong Yan, Xiaobing Zhao, Guosheng Yang
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引用次数: 11

Abstract

Tibetan name has strong religious and cultural connotations, and the construction is different from Chinese name. So far, there is limited research on Tibetan name recognition, and current method for recognition of Chinese names does not work on Tibetan names. Therefore, through the analysis of Tibetan names characteristics, this paper proposes an automatic recognition method of Tibetan name based on multi-features. This method uses the internal features of names, contextual features and boundary features of names, and establishes the dictionary and feature base of Tibetan names. Finally, an experiment is conducted, and the results prove the algorithm is effective.
基于多特征的藏文人名自动识别研究
藏语名称具有较强的宗教文化内涵,其结构与汉语名称不同。目前,对藏语人名识别的研究有限,现有的汉语人名识别方法也不适用于藏语人名。因此,本文通过对藏语人名特征的分析,提出了一种基于多特征的藏语人名自动识别方法。该方法利用人名的内部特征、上下文特征和边界特征,建立了藏文人名的词典和特征库。最后进行了实验,结果证明了该算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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