Chinese Word Segmentation for Agriculture
Autor: | Lu-Ming Shen, Weiqiong Bu, Wu Luo, Kui Fang |
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Rok vydání: | 2013 |
Předmět: |
AVL tree
business.industry Computer science Speech recognition Hash function Linked list computer.software_genre Human-Computer Interaction Artificial Intelligence Code (cryptography) Segmentation Artificial intelligence Chinese characters business Time complexity computer Software Word (computer architecture) Natural language processing |
Zdroj: | Journal of Software. 8 |
ISSN: | 1796-217X |
DOI: | 10.4304/jsw.8.5.1219-1226 |
Popis: | 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. |
Databáze: | OpenAIRE |
Externí odkaz: |
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