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Language modeling for soft keyboards
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Source International Conference on Intelligent User Interfaces archive
Proceedings of the 7th international conference on Intelligent user interfaces table of contents
San Francisco, California, USA
SESSION: Short Papers table of contents
Pages: 194 - 195  
Year of Publication: 2002
ISBN:1-58113-459-2
Authors
Joshua Goodman  Microsoft Research, Redmond, WA
Gina Venolia  Microsoft Research, Redmond, WA
Keith Steury  Microsoft Corp., Redmond, WA
Chauncey Parker  Univ. of Washington, Seattle, WA
Sponsors
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 9,   Downloads (12 Months): 36,   Citation Count: 4
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ABSTRACT

Language models predict the probability of letter sequences. Soft keyboards are images of keyboards on a touch screen for input on Personal Digital Assistants. When a soft keyboard user hits a key near the boundary of a key position, the language model and key press model are combined to select the most probable key sequence. This leads to an overall error rate reduction by a factor of 1.67 to 1.87. An extended version of this paper [4] is available.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Fitts, P.M. The information capacity of the human motor system in controlling the amplitude of movement, Journal of Experimental Psychology 47 (1954), pp. 381-391.
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Goodman, J. Putting it all together: language model combination, in ICASSP-2000, Istanbul, June 2000.
 
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Goodman, J., Venolia, G., Steury, K., Parker, C. Language Modeling for Soft Keyboards. Microsoft Research technical report MSR-TR-2001-118, available from http://www.research.microsoft.com/pubs.
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Collaborative Colleagues:
Joshua Goodman: colleagues
Gina Venolia: colleagues
Keith Steury: colleagues
Chauncey Parker: colleagues