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» Learning Rules to Improve a Machine Translation System
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SBIA
2004
Springer
15 years 11 months ago
Learning with Class Skews and Small Disjuncts
One of the main objectives of a Machine Learning – ML – system is to induce a classifier that minimizes classification errors. Two relevant topics in ML are the understanding...
Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Mar...
IPPS
1999
IEEE
15 years 10 months ago
A Transformational Framework for Skeletal Programs: Overview and Case Study
A structured approach to parallel programming allows to construct applications by composing skeletons, i.e., recurring patterns of task- and data-parallelism. First academic and co...
Sergei Gorlatch, Susanna Pelagatti
FLAIRS
2004
15 years 7 months ago
Towards a Universal Web Wrapper
The wealth of information contained in the world-wide web has created much interest in systems for integrating information from multiple sites. We describe a universal wrapper mac...
Theodore W. Hong, Keith L. Clark
FLAIRS
2006
15 years 7 months ago
Computer-Aided Language Processing
The invited talk will introduce Computer-Aided Language Processing (CALP) as an emerging area of practical interest and significance and will present experiments of several CALP a...
Ruslan Mitkov
ACL
2010
15 years 4 months ago
Importance of Linguistic Constraints in Statistical Dependency Parsing
Statistical systems with high accuracy are very useful in real-world applications. If these systems can capture basic linguistic information, then the usefulness of these statisti...
Bharat Ram Ambati