This paper shows how to formally characterize language learning in a finite parameter space as a Markov structure, hnportant new language learning results follow directly: explici...
Spoken Language Understanding aims at mapping a natural language spoken sentence into a semantic representation. In the last decade two main approaches have been pursued: generati...
Marco Dinarelli, Alessandro Moschitti, Giuseppe Ri...
A voice search system requires a speech interface that can correctly recognize spoken queries uttered by users. The recognition performance strongly relies on a robust language mo...
Xiao Li, Patrick Nguyen, Geoffrey Zweig, Dan Bohus
We present an approximation to the Bayesian hierarchical PitmanYor process language model which maintains the power law distribution over word tokens, while not requiring a comput...
The most intuitive memory model for shared-memory multithreaded programming is sequential consistency (SC), but it disallows the use of many compiler and hardware optimizations th...
Daniel Marino, Abhayendra Singh, Todd D. Millstein...