Proceedings of the 2nd international conference on Intelligent user interfaces
Toward a unified approach to statistical language modeling for Chinese
ACM Transactions on Asian Language Information Processing (TALIP)
Semantic knowledge in word completion
Proceedings of the 7th international ACM SIGACCESS conference on Computers and accessibility
Topic modeling in fringe word prediction for AAC
Proceedings of the 11th international conference on Intelligent user interfaces
Text prediction systems: a survey
Universal Access in the Information Society
Web resources for language modeling in conversational speech recognition
ACM Transactions on Speech and Language Processing (TSLP)
Sibylle, An Assistive Communication System Adapting to the Context and Its User
ACM Transactions on Accessible Computing (TACCESS)
User Interaction with Word Prediction: The Effects of Prediction Quality
ACM Transactions on Accessible Computing (TACCESS)
Adaptive language modeling for word prediction
HLT-SRWS '08 Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Student Research Workshop
Unsupervised modeling of Twitter conversations
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Intelligent selection of language model training data
ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
SWITCHBOARD: telephone speech corpus for research and development
ICASSP'92 Proceedings of the 1992 IEEE international conference on Acoustics, speech and signal processing - Volume 1
The potential of dwell-free eye-typing for fast assistive gaze communication
Proceedings of the Symposium on Eye Tracking Research and Applications
Designing and evaluating text entry methods
CHI '12 Extended Abstracts on Human Factors in Computing Systems
Crowdsourcing research opportunities: lessons from natural language processing
Proceedings of the 12th International Conference on Knowledge Management and Knowledge Technologies
Measuring performance of a predictive keyboard operated by humming
ICCHP'12 Proceedings of the 13th international conference on Computers Helping People with Special Needs - Volume Part II
iSCAN: a phoneme-based predictive communication aid for nonspeaking individuals
Proceedings of the 14th international ACM SIGACCESS conference on Computers and accessibility
SymbolPath: a continuous motion overlay module for icon-based assistive communication
Proceedings of the 14th international ACM SIGACCESS conference on Computers and accessibility
Applying prediction techniques to phoneme-based AAC systems
SLPAT '12 Proceedings of the Third Workshop on Speech and Language Processing for Assistive Technologies
Non-syntactic word prediction for AAC
SLPAT '12 Proceedings of the Third Workshop on Speech and Language Processing for Assistive Technologies
A collection of conversational AAC-like communications
Proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility
Improved inference and autotyping in EEG-based BCI typing systems
Proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility
Complementing text entry evaluations with a composition task
ACM Transactions on Computer-Human Interaction (TOCHI)
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Augmented and alternative communication (AAC) devices enable users with certain communication disabilities to participate in everyday conversations. Such devices often rely on statistical language models to improve text entry by offering word predictions. These predictions can be improved if the language model is trained on data that closely reflects the style of the users' intended communications. Unfortunately, there is no large dataset consisting of genuine AAC messages. In this paper we demonstrate how we can crowd-source the creation of a large set of fictional AAC messages. We show that these messages model conversational AAC better than the currently used datasets based on telephone conversations or newswire text. We leverage our crowdsourced messages to intelligently select sentences from much larger sets of Twitter, blog and Usenet data. Compared to a model trained only on telephone transcripts, our best performing model reduced perplexity on three test sets of AAC-like communications by 60--82% relative. This translated to a potential keystroke savings in a predictive keyboard interface of 5--11%.