Better vocabularies for assistive communication aids

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Better vocabularies for assistive communication aids: connecting terms using semantic networks and untrained annotators

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ACM SIGACCESS Conference on Computers and Accessibility archive
Proceedings of the 11th international ACM SIGACCESS conference on Computers and accessibility table of contents

Pittsburgh, Pennsylvania, USA

SESSION: Assisted communication table of contents

Pages 171-178

Year of Publication: 2009

ISBN:978-1-60558-558-1

Authors

Sonya Nikolova	Princeton University, Princeton, NJ, USA
Jordan Boyd-Graber	Princeton University, Princeton, NJ, USA
Christiane Fellbaum	Princeton University, Princeton, NJ, USA
Perry Cook	Princeton University, Princeton, NJ, USA

Sponsor

SIGACCESS: ACM Special Interest Group on Accessible Computing

Publisher

ACM New York, NY, USA

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ABSTRACT

The difficulties of navigating vocabulary in an assistive communication device are exacerbated for individuals with lexical access disorders like those due to aphasia. We present the design and implementation of a vocabulary network based on WordNet, a resource that attempts to model human semantic memory, that enables users to find words easily. To correct for the sparsity of links among words, we augment WordNet with additional connections derived from human judgments of semantic similarity collected in an online experiment. We evaluate the resulting system, the visual vocabulary for aphasia (ViVA), and describe its potential to adapt to a user's profile and enable faster search and improved navigation.

REFERENCES

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