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

Authors:
Per Ola Kristensson;Shumin Zhai
Affiliations:
University of Cambridge, Cambridge, UK;IBM Almaden Research Center, San Jose, CA
Venue:
Proceedings of the 13th international conference on Intelligent user interfaces
Year:
2008

Citing 4
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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.