Improving word-recognizers using an interactive lexicon with active and passive words

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Improving word-recognizers using an interactive lexicon with active and passive words

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International Conference on Intelligent User Interfaces archive
Proceedings of the 13th international conference on Intelligent user interfaces table of contents

Gran Canaria, Spain

SESSION: Short papers table of contents

Pages 353-356

Year of Publication: 2008

ISBN:978-1-59593-987-6

Authors

Per Ola Kristensson	University of Cambridge, Cambridge, UK
Shumin Zhai	IBM Almaden Research Center, San Jose, CA

Sponsors

SIGART: ACM Special Interest Group on Artificial Intelligence
AAAI : Association for the Advancement of Artifical Intelligence
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 6, Downloads (12 Months): 55, Citation Count: 1

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ABSTRACT

The words a user is likely to write comprise the user's active vocabulary. This vocabulary is considerably smaller than the passive vocabulary of words a user reads. We explore an interactive adaptive lexicon method that separates a large lexicon into active and passive sets, and gradually expands and adapts the active set to reflect the user's active vocabulary. The adaptation is achieved through lightweight interaction as a by product of actual use. The effectiveness of the technique is demonstrated through a computational experiment and a user study.

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.

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