A New Uighur Automatic Summarization Method

Xiaodong Yan
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Abstract

Research on automatic summarization becomes a hot spot in natural language processing. With the rapid development of the Internet, a lot of Uighur website and communications platform has also been established and improved. Uighur network text increased sharply. How to effectively use the text is face to people. A method for Uighur automatic summarization is proposed in this paper which is based on sub-theme division and weight value is given in it. And by experiments, we find that it can get good precision and recall rates than traditional method on statistics.
一种新的维吾尔语自动摘要方法
自动摘要是自然语言处理领域的研究热点。随着互联网的快速发展,许多维吾尔语网站和交流平台也被建立和完善。维吾尔语网络文本急剧增加。如何有效地利用文字是面对人们的。提出了一种基于子主题划分并给出权重值的维吾尔语自动摘要方法。实验结果表明,该方法比传统的统计方法具有更好的准确率和召回率。
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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