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dc.contributor.authorRamsey, Marshall C.en_US
dc.contributor.authorOng, Thian-Huaten_US
dc.contributor.authorChen, Hsinchunen_US
dc.date.accessioned2004-10-29T00:00:01Z
dc.date.available2010-06-18T23:24:07Z
dc.date.issued1998en_US
dc.date.submitted2004-10-29en_US
dc.identifier.citationMultilingual input system for the Web - an open multimedia approach of keyboard and handwritten recognition for Chinese and Japanese 1998, :188-195en_US
dc.identifier.urihttp://hdl.handle.net/10150/105350
dc.descriptionArtificial Intelligence Lab, Department of MIS, University of Arizonaen_US
dc.description.abstractThe 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.
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectInformation Extractionen_US
dc.subject.otherNational Science Digital Libraryen_US
dc.subject.otherNSDLen_US
dc.subject.otherArtificial intelligence laben_US
dc.subject.otherAI laben_US
dc.titleMultilingual input system for the Web - an open multimedia approach of keyboard and handwritten recognition for Chinese and Japaneseen_US
dc.typeConference Paperen_US
refterms.dateFOA2018-08-21T11:29:25Z
html.description.abstractThe 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.


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