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dc.contributor.author	Shieber, Stuart
dc.contributor.author	Baker, Ellie
dc.date.accessioned	2008-11-10T20:02:05Z
dc.date.issued	2003
dc.identifier.citation	Stuart M. Shieber and Ellie Baker. Abbreviated text input. In Proceedings of the 2003 International Conference on Intelligent User Interfaces, pages 293-296, Miami, FL, 2003.	en
dc.identifier.uri	http://nrs.harvard.edu/urn-3:HUL.InstRepos:2252612
dc.description.abstract	We address the problem of improving the efficiency of natural language text input under degraded conditions (for instance, on PDAs or cell phones or by disabled users) by taking advantage of the informational redundacy in natural language. Previous approaches to this problem have been based on the idea of prediction of the text, but these require the user to take overt action to verify or select the system's predictions. We propose taking advantage of the duality between prediction and compression. We allow the user to enter text in compressed form, in particular, using a simple stipulated abbreviation method that reduces characters by about 30% yet is simple enough that it can be learned easily and generated relatively fluently. Using statistical language processing techniques, we can decode the abbreviated text with a residual word error rate of about 3%, and we expect that simple adaptive methods can improve this to about 1.5%. Because the system's operation is completely independent from the user's, the overhead from cognitive task switching and attending to the system's actions online is eliminated, opening up the possibility that the compression-based method can achieve text input efficiency improvements where the prediction-based methods have not.	en
dc.description.sponsorship	Engineering and Applied Sciences	en
dc.language.iso	en_US	en
dc.publisher	Association for Computing Machinery	en
dc.relation.isversionof	http://doi.acm.org/10.1145/604045.604103	en
dash.license	LAA
dc.title	Abbreviated text input	en
dc.relation.journal	Proceedings of the 2003 International Conference on Intelligent User Interfaces	en
dash.depositing.author	Shieber, Stuart

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  Peer reviewed scholarly articles from the Faculty of Arts and Sciences of Harvard University

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