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» Learning Rules to Improve a Machine Translation System
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GECCO
2007
Springer
148views Optimization» more  GECCO 2007»
15 years 10 months ago
Fuzzy-UCS: preliminary results
This paper presents Fuzzy-UCS, a Michigan-style Learning Fuzzy-Classifier System designed for supervised learning tasks. Fuzzy-UCS combines the generalization capabilities of UCS...
Albert Orriols-Puig, Jorge Casillas, Ester Bernad&...
CISIS
2011
IEEE
14 years 3 months ago
Improving Scheduling Techniques in Heterogeneous Systems with Dynamic, On-Line Optimisations
—Computational performance increasingly depends on parallelism, and many systems rely on heterogeneous resources such as GPUs and FPGAs to accelerate computationally intensive ap...
Marcin Bogdanski, Peter R. Lewis, Tobias Becker, X...
146
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ANLP
2000
126views more  ANLP 2000»
15 years 5 months ago
The Automatic Translation of Discourse Structures
We empirically show that there are significant differences between the discourse structure of Japanese texts and the discourse structure of their corresponding English translation...
Daniel Marcu, Lynn Carlson, Maki Watanabe
89
Voted
CEC
2008
IEEE
15 years 10 months ago
Social learning in Population-based Adaptive Systems
— The subject of the present investigation is Population-based Adaptive Systems (PAS), as implemented in the NEW TIES platform. In many existing PASs two adaptation mechanisms ar...
Evert Haasdijk, Paul Vogt, A. E. Eiben
IJCNLP
2005
Springer
15 years 9 months ago
Empirical Study of Utilizing Morph-Syntactic Information in SMT
In this paper, we present an empirical study that utilizes morph-syntactical information to improve translation quality. With three kinds of language pairs matched according to mor...
Young-Sook Hwang, Taro Watanabe, Yutaka Sasaki