The Effect of Simplification Based on Words and Their Role in Approving or Rejecting Articles

被引：0
|
作者：
Mirzaei, Bahareh [1 ]
Jafarabad, Mohammad [2 ]
Karimi, Hossein [3 ]
Dehno, Shahin Behrozian [3 ]
Khastavaneh, Mohammad Javad [4 ]
Khandelwal, Manoj [5 ]
Parveh, Abdolkarim [6 ]
Safari, Amirali [7 ]
机构：
[1] Islamic Azad Univ, Sci & Res Branch, Dept Languages, Literatures, Tehran, Iran
[2] Islamic Azad Univ, Young Researchers & Elite club Robatkarim Branch, Robatkarim, Iran
[3] Islamic Azad Univ, Sama Tech & Vocat Training Coll, Yasouj Branch, Yasuj, Iran
[4] Pishtazan Univ Shiraz, Dept Comp Sci & Engn, Shiraz, Iran
[5] Federat Univ Australia, Fac Sci & Technol, Victoria, BC, Canada
[6] Islamic Azad Univ South, Tehran Branch, Ind Engn Fac, Tehran, Iran
[7] Shamsipour Univ, Dept Comp Engn, Tehran, Iran
来源：
PROCEEDINGS OF 2015 IEEE INTERNATIONAL CONFERENCE ON PROGRESS IN INFORMATCS AND COMPUTING (IEEE PIC) | 2015年
关键词：
Data analysis; Text complexity; familiar words; simplex words;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
One of the main reasons of text complexity is usage of uncommon vocabulary. We can overcome this issue by suggesting simpler words as replacements. This paper analyzed texts from Simple English Wikipedia, Wikipedia and IEEE articles. After running the tests, the results indicated that removing Complex words and replacing them with simpler phrases is the fastest practical algorithm to simplify a scientific complex text. Result of our data analysis tests and checking inputs against a database of 2000 words show that IEEE articles use about 15% uncommon words.
引用
收藏
页码：71 / 76
页数：6
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