This paper proposes a new approach to phrase rescoring for statistical machine translation (SMT). A set of novel features capturing the translingual equivalence between a source a...
The work presented in this paper explores a supervised method for learning a probabilistic model of a lexicon of VerbNet classes. We intend for the probabilistic model to provide ...
Scheduling divisible workloads in distributed systems has been one of the interesting research problems over the last few years. Most of the scheduling algorithms previously intro...
Nguyen The Loc, Said Elnaffar, Takuya Katayama, Tu...
We investigate a complete pipeline for measuring, modeling, and fabricating objects with specified subsurface scattering behaviors. The process starts with measuring the scatterin...
Milo Haan, Martin Fuchs, Wojciech Matusik, Han...
We present an analysis of F0 range and peak alignment in emotional speech from a heterogeneous group of speakers varying in age and gender. Both speaker and emotion had a strong e...
Eric Morley, Jan P. H. van Santen, Esther Klabbers...