Systems based on statistical and machine learning methods have been shown to be extremely effective and scalable for the analysis of large amount of textual data. However, in the r...
A wide variety of singing synthesis models and methods exist, but there are remarkably few real-time controllers for these models. This paper describes a variety of devices develo...
This paper proposes a novel View-based Consistency model for Distributed Shared Memory. A view is a set of ordinary data objects that a processor has the right to access in a data...
Zhiyi Huang, Stephen Cranefield, Martin K. Purvis,...
Sense annotation and lexicon building are costly affairs demanding prudent investment of resources. Recent work on multilingual WSD has shown that it is possible to leverage the a...
Mitesh M. Khapra, Saurabh Sohoney, Anup Kulkarni, ...
We present new direct data analysis showing that dynamically-built context-dependent phrasal translation lexicons are more useful resources for phrase-based statistical machine tr...