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EACL
2009
ACL Anthology
15 years 10 months ago
N-Gram-Based Statistical Machine Translation versus Syntax Augmented Machine Translation: Comparison and System Combination
In this paper we compare and contrast two approaches to Machine Translation (MT): the CMU-UKA Syntax Augmented Machine Translation system (SAMT) and UPC-TALP N-gram-based Statisti...
José A. R. Fonollosa, Maxim Khalilov
94
Voted
JMLR
2011
187views more  JMLR 2011»
14 years 5 months ago
Exploitation of Machine Learning Techniques in Modelling Phrase Movements for Machine Translation
We propose a distance phrase reordering model (DPR) for statistical machine translation (SMT), where the aim is to learn the grammatical rules and context dependent changes using ...
Yizhao Ni, Craig Saunders, Sándor Szedm&aac...
91
Voted
ICML
2007
IEEE
15 years 11 months ago
An empirical evaluation of deep architectures on problems with many factors of variation
Recently, several learning algorithms relying on models with deep architectures have been proposed. Though they have demonstrated impressive performance, to date, they have only b...
Hugo Larochelle, Dumitru Erhan, Aaron C. Courville...
92
Voted
CANDC
2009
ACM
15 years 4 months ago
Children's storytelling and programming with robotic characters
We introduce mixed physical and digital authoring environments for children, which invite them to create stories with enriched drawings that are programmed to control robotic char...
Kimiko Ryokai, Michael Jongseon Lee, Jonathan Mica...
81
Voted
TIDSE
2004
Springer
15 years 3 months ago
Learning from the Movie Industry: Adapting Production Processes for Storytelling in VR
Any movie production needs a whole group of contributing authors and creative artists from various fields. The same should obviously be true for the making of a compelling VR scena...
Richard Wages, Benno Grützmacher, Stefan Conr...