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A Chinese Pin Yin-input method for association of input word using inductive learning

机译:一种汉语PIN YIN输入方法,用于使用电感学习输入单词的关联

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摘要

We introduce an efficient Chinese PinYin input method of intelligent association using Inductive Learning. As for the Chinese PinYin input system, a large number of keystrokes and the selection from candidate words limit the speed increasing. Association of input words is one of the most important methods for Chinese character input to decrease keystrokes and to improve the input speed. Our proposed method enables us to promptly input the Chinese words into a computer; that is, not necessary to spell complete character of PinYin only by choosing the words from candidates. Moreover, the Inductive Learning approach gives system two characteristics. One is the dynamically adaptation to current situation, and the other is the capability of acquisition rules even if no initial rules. Furthermore, we make use of the relationship between Chinese words and characters in context to generate a rule. When the correct association rate is 40%, the decreasing rate of keystrokes is 39% in the experiment for the performance evaluation. It shows that this method is effective for Chinese input.
机译:我们使用归纳学习介绍智能协会的高效汉语拼音输入方法。至于中国拼音输入系统,大量击键和候选词的选择限制了速度的速度。输入词的关联是汉字输入最重要的方法之一,以减少击键和提高输入速度。我们所提出的方法使我们能够及时将中文单词迅速输入计算机;也就是说,通过选择来自候选者的单词,不需要拼写拼音的完整字符。此外,电感学习方法提供了系统两个特征。一个是对当前情况的动态调整,另一个是即使没有初始规则也是收购规则的能力。此外,我们在上下文中使用中文单词和字符之间的关系来生成规则。当正确的关联率为40%时,击键的降低率在绩效评估的实验中为39%。它表明这种方法对中文输入有效。

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