Sciweavers

57 search results - page 4 / 12
» A Smorgasbord of Features for Statistical Machine Translatio...
Sort
View
EMNLP
2008
13 years 8 months ago
Lattice-based Minimum Error Rate Training for Statistical Machine Translation
Minimum Error Rate Training (MERT) is an effective means to estimate the feature function weights of a linear model such that an automated evaluation criterion for measuring syste...
Wolfgang Macherey, Franz Josef Och, Ignacio Thayer...
NAACL
2010
13 years 4 months ago
A Direct Syntax-Driven Reordering Model for Phrase-Based Machine Translation
This paper presents a direct word reordering model with novel syntax-based features for statistical machine translation. Reordering models address the problem of reordering source...
Niyu Ge
ACL
2012
11 years 9 months ago
Joint Feature Selection in Distributed Stochastic Learning for Large-Scale Discriminative Training in SMT
With a few exceptions, discriminative training in statistical machine translation (SMT) has been content with tuning weights for large feature sets on small development data. Evid...
Patrick Simianer, Stefan Riezler, Chris Dyer
GW
2007
Springer
135views Biometrics» more  GW 2007»
14 years 1 months ago
Enhancing a Sign Language Translation System with Vision-Based Features
Abstract. In automatic sign language translation, one of the main problems is the usage of spatial information in sign language and its proper representation and translation, e.g. ...
Philippe Dreuw, Daniel Stein, Hermann Ney
ACL
2009
13 years 4 months ago
Demonstration of Joshua: An Open Source Toolkit for Parsing-based Machine Translation
We describe Joshua (Li et al., 2009a)1, an open source toolkit for statistical machine translation. Joshua implements all of the algorithms required for translation via synchronou...
Zhifei Li, Chris Callison-Burch, Chris Dyer, Juri ...