Artificial Intelligence Lab, Department of MIS, University of Arizona / 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.
Identifer | oai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/105120 |
Date | January 1998 |
Creators | Ramsey, Marshall C., Ong, Thian-Huat, Chen, Hsinchun |
Publisher | IEEE |
Source Sets | University of Arizona |
Language | English |
Detected Language | English |
Type | Conference Paper |
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