Automatic word spacing in Korean for small memory devices

Authors:
Seong-Bae Park;Eun-Kyung Lee;Yoon-Shik Tae
Affiliations:
Department of Computer Engineering, Kyungpook National University, Daegu, Korea;Department of Computer Engineering, Kyungpook National University, Daegu, Korea;Department of Computer Engineering, Kyungpook National University, Daegu, Korea
Venue:
IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence
Year:
2005

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Abstract

Automatic word spacing will be a very useful tool in a SMS (simple message service), if it can be commercially served. However, the problems of implementing it in the devices such as mobile phones are small memory and low computing power of the devices. To tackle these problems, this paper proposes a combined model of rule-based learning and memory-based learning. According to the experimental results, the model shows higher accuracy than rule-based learning or memory-based learning alone. In addition, the generated rules are so small and simple that the proposed model is appropriate for small memory devices