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COLING
2008
13 years 9 months ago
Random Restarts in Minimum Error Rate Training for Statistical Machine Translation
Och's (2003) minimum error rate training (MERT) procedure is the most commonly used method for training feature weights in statistical machine translation (SMT) models. The u...
Robert C. Moore, Chris Quirk
IICAI
2007
13 years 9 months ago
Exploring Translation Similarities for Building a Better Sentence Aligner
Abstract. The approaches previously used for sentence alignment (sentence length, word correspondence and cognate matching) take into account different aspects of similarity betwe...
Anil Kumar Singh, Samar Husain
NIPS
2001
13 years 9 months ago
A Rotation and Translation Invariant Discrete Saliency Network
We describe a neural network which enhances and completes salient closed contours. Our work is different from all previous work in three important ways. First, like the input prov...
Lance R. Williams, John W. Zweck
ICANN
2010
Springer
13 years 9 months ago
Self-Organization of Steerable Topographic Mappings as Basis for Translation Invariance
One way to handle the perception of images that change in position (or size, orientation or deformation) is to invoke rapidly changing fiber projections to project images into a fi...
Junmei Zhu, Urs Bergmann, Christoph von der Malsbu...
ACL
2009
13 years 5 months ago
Improving Tree-to-Tree Translation with Packed Forests
Current tree-to-tree models suffer from parsing errors as they usually use only 1best parses for rule extraction and decoding. We instead propose a forest-based tree-to-tree model...
Yang Liu, Yajuan Lü, Qun Liu