We present a novel framework for learning to interpret and generate language using only perceptual context as supervision. We demonstrate its capabilities by developing a system t...
An unsupervised discriminative training procedure is proposed for estimating a language model (LM) for machine translation (MT). An English-to-English synchronous context-free gra...
Zhifei Li, Ziyuan Wang, Sanjeev Khudanpur, Jason E...
It is our contention that information technology is a cultural commodity whose influence is spread through economic and political action of institutions such as the government and...
SRI International's IraqComm system performs bidirectional speech-to-speech machine translation between English and Iraqi Arabic in the domains of force protection, municipal ...
Michael W. Frandsen, Susanne Riehemann, Kristin Pr...
We present a new phrase-based conditional exponential family translation model for statistical machine translation. The model operates on a feature representation in which sentenc...