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EMNLP
2007
15 years 5 months ago
Syntactic Re-Alignment Models for Machine Translation
We present a method for improving word alignment for statistical syntax-based machine translation that employs a syntactically informed alignment model closer to the translation m...
Jonathan May, Kevin Knight
LREC
2008
155views Education» more  LREC 2008»
15 years 5 months ago
Using Reordering in Statistical Machine Translation based on Alignment Block Classification
Statistical Machine Translation (SMT) is based on alignment models which learn from bilingual corpora the word correspondences between source and target language. These models are...
Marta R. Costa-Jussà, José A. R. Fon...
ICALT
2003
IEEE
15 years 9 months ago
A Process Repository for the Development of E-Learning Applications
The production process of multimedia learning material includes many participants, tasks, and tools. The system described in this paper combines all data from the development and ...
Ronald Hartwig, Michael Herczeg
ICML
2010
IEEE
15 years 2 months ago
Approximate Predictive Representations of Partially Observable Systems
We provide a novel view of learning an approximate model of a partially observable environment from data and present a simple implemenf the idea. The learned model abstracts away ...
Monica Dinculescu, Doina Precup
SDM
2007
SIAM
81views Data Mining» more  SDM 2007»
15 years 5 months ago
A PAC Bound for Approximate Support Vector Machines
We study a class of algorithms that speed up the training process of support vector machines (SVMs) by returning an approximate SVM. We focus on algorithms that reduce the size of...
Dongwei Cao, Daniel Boley