Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 5
1293-1296

New word discovery algorithm based on mutual information and branch entropy

Liu Weitong1,2
Liu Peiyu1,2
Liu Wenfeng1,3
Li Nana1,2
1. School of Information Science & Engineering, Shandong Normal University, Jinan 250358, China
2. Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology, Jinan 250358, China
3. School of Computer Science, Heze University, Heze Shandong 274015, China
DOI: 10.19734/j.issn.1001-3695.2017.11.0745

Abstract

How to identify new words quickly and efficiently is a very important task in natural language processing. Aiming at the problems existing in the discovery of new words, this paper proposed an algorithm for word-finding new words verbatim from left to right in the uncut word Weibo corpus. One way to get a candidate new word was by computing the candidate word and its right adjacent word mutual information to expand word by word; there were some ways to filter candidate new words to get new word sets. It included methods included calculating the branch entropy, deleting stop words contained in the first or last word of each candidate new word and deleting old words included in the candidate new word set. It solved the problem that some new words could not be recognized due to the mistakes in the word segmentation and it also solved the problem that the large number of repetitive word strings and rubbish words strings generated by the n-gram method were identified as new words. Finally, experiments verify the effectiveness of the algorithm.

Foundation Support

国家自然科学基金资助项目(61373148,61502151)
山东省社科规划项目(17CHLJ18,17CHLJ33,17CHLJ30)
山东省自然科学基金资助项目(ZR2014FL010)
山东省教育厅基金资助项目(J15LN34)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.11.0745
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 5
Section: Algorithm Research & Explore
Pages: 1293-1296
Serial Number: 1001-3695(2019)05-003-1293-04

Publish History

[2019-05-05] Printed Article

Cite This Article

刘伟童, 刘培玉, 刘文锋, 等. 基于互信息和邻接熵的新词发现算法 [J]. 计算机应用研究, 2019, 36 (5): 1293-1296. (Liu Weitong, Liu Peiyu, Liu Wenfeng, et al. New word discovery algorithm based on mutual information and branch entropy [J]. Application Research of Computers, 2019, 36 (5): 1293-1296. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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