Syntactic machine translation systems currently use word alignments to infer syntactic correspondences between the source and target languages. Instead, we propose an unsupervised...
When training the parameters for a natural language system, one would prefer to minimize 1-best loss (error) on an evaluation set. Since the error surface for many natural languag...
We are interested in developing a better understanding of what it is that students find difficult in learning logic. We use both natural language and diagram-based methods for teac...
Richard Cox, Robert Dale, John Etchemendy, Dave Ba...
Reordering model is important for the statistical machine translation (SMT). Current phrase-based SMT technologies are good at capturing local reordering but not global reordering...
The paper presents the design concept of the VoiceTRAN Communicator that integrates speech recognition, machine translation and text-to-speech synthesis using the DARPA Galaxy arch...
Jerneja Zganec-Gros, France Mihelic, Tomaz Erjavec...