@InProceedings{dudy-bedrick:2018:W18-34,
  author    = {Dudy, Shiran  and  Bedrick, Steven},
  title     = {Compositional Language Modeling for Icon-Based Augmentative and Alternative Communication},
  booktitle = {Proceedings of the Workshop on Deep Learning Approaches for Low-Resource NLP},
  month     = {July},
  year      = {2018},
  address   = {Melbourne},
  publisher = {Association for Computational Linguistics},
  pages     = {25--32},
  abstract  = {Icon-based communication systems are widely used in the field of Augmentative and Alternative Communication. Typically, icon-based systems have lagged behind word- and character-based systems in terms of predictive typing functionality, due to the challenges inherent to training icon-based language models. We propose a method for synthesizing training data for use in icon-based language models, and explore two different modeling strategies. We propose a method to generate language models for corpus-less symbol-set.},
  url       = {http://www.aclweb.org/anthology/W18-3404}
}