Volume 8 Number 5 (May 2013)
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JSW 2013 Vol.8(5): 1219-1226 ISSN: 1796-217X
doi: 10.4304/jsw.8.5.1219-1226

Chinese Word Segmentation for Agriculture

Kui Fang, Weiqiong Bu, Wu Lou, Lu-Ming Shen
1Institute of Information Science & Technology, Hunan Agricultural University Changsha, P. R. China
2Chinasoft International Co., Ltd, Changsha, P. R. China
3Science College, Hunan Agricultural University, Changsha, P. R. China


Abstract—Based on the Hash mechanism, a new algorithm is presented, the algorithm can realize search, update, deletion and addition operations for dictionary. According to the characteristics of Chinese characters GB code, by preserving the GB code of first word in entry, this method effectively improves the utilization rate of the storage space. In the dictionary, the one-to-many corresponding relationships between dialects and agricultural keywords are built, the dialect words can be translated efficiently into the agricultural key words, so as the word segment accuracy is improved. In the time complexity, Chinese word segmentation algorithm for agriculture were compared with the algorithms for array, linked list and AVL tree.

Index Terms—Rural informatization, agricultural knowledge base, Chinese word segmentation, Hash function, word segmentation dictionary.

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Cite: Kui Fang, Weiqiong Bu, Wu Lou, Lu-Ming Shen , "Chinese Word Segmentation for Agriculture," Journal of Software vol. 8, no. 5, pp. 1219-1226, 2013.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKI, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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