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    政大機構典藏 > 商學院 > 資訊管理學系 > 會議論文 >  Item 140.119/120596
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/120596

    Title: An Internet Slang Translator Based on Decision Tree and Bi-gram Language Model
    Authors: 楊亨利
    Yang, Heng-Li
    Huang, Hung-Chang
    Lin, Qing-Feng
    Contributors: 資管系
    Keywords: Internet slang;Internet buzzwords;text normalization;decision tree;bi-gram language model
    Date: 2015-03
    Issue Date: 2018-10-17 14:31:54 (UTC+8)
    Abstract: While conducting text mining on Chinese content, Internet slang is a problem which results in a lower accuracy of text segmentation. Translating Internet slang into formal Chinese would help segmentation and, in addition, revealing the implicit information of the slang. In order to translate Internet slang, this study first collected meanings of slangs and web texts. Next, Internet slang was categorized, and translating methods, which are mainly based on decision tree and bi-gram language model, were developed for each category. The translator was then implemented. Eighty-one percentages of the Internet slang in web texts were correctly detected and translated, with a precision at ninety percentages. It is concluded that the proposed methods are quite applicable to Internet slang translation.
    Relation: 電子商務學報, 17卷1期 , 25-48
    Data Type: article
    DOI 連結: http://dx.doi.org/10.6188/JEB.2015.17(1).02
    DOI: 10.6188/JEB.2015.17(1).02
    Appears in Collections:[資訊管理學系] 會議論文

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