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Effectiveness of Context-Aware Character Input Method for Mobile Phone Based on Artificial Neural Network
Joint Authors
Matsuhara, Masafumi
Suzuki, Satoshi
Source
Applied Computational Intelligence and Soft Computing
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-08-27
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Matsuhara, Masafumi& Suzuki, Satoshi. 2012. Effectiveness of Context-Aware Character Input Method for Mobile Phone Based on Artificial Neural Network. Applied Computational Intelligence and Soft Computing،Vol. 2012, no. 2012, pp.1-6.
https://search.emarefa.net/detail/BIM-506325
Modern Language Association (MLA)
Matsuhara, Masafumi& Suzuki, Satoshi. Effectiveness of Context-Aware Character Input Method for Mobile Phone Based on Artificial Neural Network. Applied Computational Intelligence and Soft Computing No. 2012 (2012), pp.1-6.
https://search.emarefa.net/detail/BIM-506325
American Medical Association (AMA)
Matsuhara, Masafumi& Suzuki, Satoshi. Effectiveness of Context-Aware Character Input Method for Mobile Phone Based on Artificial Neural Network. Applied Computational Intelligence and Soft Computing. 2012. Vol. 2012, no. 2012, pp.1-6.
https://search.emarefa.net/detail/BIM-506325
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-506325