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The University of Arizona Campus Repository > Digital Library of Information Science & Technology (DLIST) > DLIST > Multilingual Input System for the Web - an Open Multimedia Approach of Keyboard and Handwriting Recognition for Chinese and Japanese

Please use this identifier to cite or link to this item: http://hdl.handle.net/10150/105120
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Title: Multilingual Input System for the Web - an Open Multimedia Approach of Keyboard and Handwriting Recognition for Chinese and Japanese
Author: Ramsey, Marshall C.
Ong, Thian-Huat
Chen, Hsinchun
Citation: Multilingual Input System for the Web - an Open Multimedia Approach of Keyboard and Handwriting Recognition for Chinese and Japanese 1998, :188-195
Publisher: IEEE
Issue Date: 1998
Description: Artificial Intelligence Lab, Department of MIS, University of Arizona
URI: http://hdl.handle.net/10150/105120
Abstract: The basic building block of a multilingual information retrieval system is the input system. Chinese and Japanese characters pose great challenges for the conventional 101 -key alphabet-based keyboard, because they are radical-based and number in the thousands. This paper reviews the development of various approaches and then presents a framework and working demonstrations of Chinese and Japanese input methods implemented in Java, which allow open deployment over the web to any platform, The demo includes both popular keyboard input methods and neural network handwriting recognition using a mouse or pen. This framework is able to accommodate future extension to other input mediums and languages of interest.
Type: Conference Paper
Language: en
Keywords: Artificial Intelligence
Information Extraction
Local subject classification: National Science Digital Library
NSDL
Artificial intelligence lab
AI lab
Information retrieval
Appears in Collections: DLIST

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