Paper: The Imagination of Crowds: Conversational AAC Language Modeling using Crowdsourcing and Large Data Sources

ACL ID D11-1065
Title The Imagination of Crowds: Conversational AAC Language Modeling using Crowdsourcing and Large Data Sources
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2011
Authors

Augmented and alternative communication (AAC) devices enable users with certain com- munication disabilities to participate in every- day 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 communica- tions. 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 cur- rently used datasets based on telephone con- versations or newswire text. We leverage our crowdsourced messages to intelligently s...