effectiveness of context-aware character input method for mobile phone based on artificial neural network

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ID: 185196
2012
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Abstract
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 Kanji-Kana mixed sentence in our proposed method. Number 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 for practical use by the result of the evaluation experiment in Twitter data.
Reference Key
matsuhara2012appliedeffectiveness Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Masafumi Matsuhara;Satoshi Suzuki
Journal journal of evidence-based complementary & alternative medicine
Year 2012
DOI
10.1155/2012/896948
URL
http://dx.doi.org/10.1155/2012/896948
Keywords
computer science electronic computers

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