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An efficient context-aware character input algorithm for mobile phone based on artificial neural network

机译:基于人工神经网络的移动电话一种有效的上下文感知字符输入算法

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Opportunities and needs are increasing to input Japanese sentences on mobile phones since performance of mobile phones is improving. Applications like E-mail, Web search and so on are widely used on mobile phones now. We need to input Japanese sentences using only 12 keys on mobile phones. We have proposed a method to input Japanese sentences on mobile phones quickly and easily. We call this method Number-Kanji translation method. The number-string inputted by a user is translated into string to Kana-string is a one-to-many mapping. Therefore, it is difficult to translate a number-string into the correct sentence intended by the user. The proposed context-aware mapping method is able to disambiguate a number-string by artificial neural network (ANN). The system is able to translate number-segments into the intended words because the system becomes aware of the correspondence of number-segments with Japanese words through learning by ANN. The system does not need a dictionary. We also show the effectiveness of our proposed method by the result of the evaluation experiment.
机译:由于手机的性能正在改善,因此在移动电话上输入日语句子的机会和需求正在增加。像电子邮件,网络搜索等的应用程序现在广泛使用。我们需要在手机上只使用12个键输入日语句子。我们提出了一种快速轻松地在手机上输入日语句子的方法。我们调用此方法编号-Kanji翻译方法。由用户输入的数字字符串被翻译为字符串,以kana-string是一对多映射。因此,难以将数字字符串转换为用户的正确句子。所提出的上下文感知映射方法能够通过人工神经网络(ANN)消除一个数字字符串。该系统能够将数字段转换为预期的单词,因为系统通过通过ANN学习来了解使用日语单词的数字段的对应关系。系统不需要字典。我们还通过评价实验结果显示了我们提出的方法的有效性。

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