DocumentCode
3664592
Title
A New Uighur Automatic Summarization Method
Author
Xiaodong Yan
Author_Institution
Sch. of Inf. Eng., Minzu Univ. of China, Beijing, China
fYear
2015
fDate
7/1/2015 12:00:00 AM
Firstpage
388
Lastpage
393
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.
Keywords
"Clustering algorithms","Speech","Tagging","Sorting","Indexes","Filtering","Feature extraction"
Publisher
ieee
Conference_Titel
Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), 2015 9th International Conference on
Type
conf
DOI
10.1109/IMIS.2015.60
Filename
7284981
Link To Document