An efficient context-aware character input algorithm for mobile phone based on artificial neural network
Masafumi Matsuhara, Satoshi Suzuki · 2011
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.