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    ASIA unversity > 資訊學院 > 資訊傳播學系 > 期刊論文 >  Item 310904400/3431


    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/3431


    Title: Relaxation-based word identification for removing the ambiguity in phonetic Chinese input.
    Authors: CK Fan;WH Tsai
    Contributors: Department of Information Communication
    Keywords: identification;phonetics;relaxation;input
    Date: 1990
    Issue Date: 2009-11-17 19:17:00 (UTC+8)
    Publisher: Asia University
    Abstract: The fact that there exists a large number of homonyms in Chinese characters is a problem for the phonetic input method which favored by most casual users for Chinese input into computers. A new approach to solving the problem is proposed. The input method is regarded as a process of assigning syllables to words. The proposed approach makes use of the fact that little or even no ambiguity exists in determining the characters in a multi-syllabic word. The formation relationships among the words in an input sentence are utilized to perform a relaxation-based word identification process. An advantage of the approach is that once the composing words of the sentence are identified, the desired characters are also correctly selected.
    Relation: International Journal of Pattern Recognition and Artificial Intelligence 4(4):651-666
    Appears in Collections:[資訊傳播學系] 期刊論文

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