A goal of statistical language modeling is to learn the joint probability function of sequences of words in a language. This is intrinsically difficult because of the curse of dim...
We show how to improve a state-of-the-art neural network language model that converts the previous "context" words into feature vectors and combines these feature vectors...
We report experimental results associated with speech-driven text retrieval, which facilitates retrieving information in multiple domains with spoken queries. Since users speak co...
Binary associations between classifiers are among the most fundamental of UML concepts. However, there is considerable room for disagreement concerning what an association is, sema...
We describe race-free properties of a hardware description language called GEZEL. The language describes networks of cycle-true finite-state-machines with datapaths (FSMDs). We de...
Patrick Schaumont, Sandeep K. Shukla, Ingrid Verba...