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Effectiveness of number-kanji translation method using inductive learning on mobile terminal for Chinese

机译:基于归纳学习的中文汉字数字汉字翻译方法的有效性

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摘要

We propose a method to input Chinese sentences into a mobile terminal. A user is able to input rapidly and easily because the user is able to input one Pinyin character per one keystroke in our proposed method. Some Pinyin characters are assigned to each numerical key on a mobile terminal. Therefore, the number string inputted by the user corresponds to many Chinese sentences and is ambiguous. However, our proposed method disambiguates the number string by Inductive Learning and is able to translate the number string into the Chinese sentence intended by the user. It is proved that our proposed method is effective for Chinese since the translation accuracy is about 65[%] in the result of the evaluation experiment.
机译:我们提出一种将中文句子输入到移动终端中的方法。用户能够快速而轻松地输入,因为在我们提出的方法中,用户每击一次键就能输入一个拼音字符。一些拼音字符被分配给移动终端上的每个数字键。因此,用户输入的数字串对应于许多中文句子并且是不明确的。但是,我们提出的方法通过归纳学习消除了数字字符串的歧义,并且能够将数字字符串转换为用户想要的中文句子。实验结果表明,该方法对中文翻译效果良好,翻译精度约为65%。

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