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» Learning Rules to Improve a Machine Translation System
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CGO
2003
IEEE
15 years 9 months ago
Dynamic Binary Translation for Accumulator-Oriented Architectures
A dynamic binary translation system for a co-designed virtual machine is described and evaluated. The underlying hardware directly executes an accumulator-oriented instruction set...
Ho-Seop Kim, James E. Smith
ACL
2006
15 years 5 months ago
Minimum Risk Annealing for Training Log-Linear Models
When training the parameters for a natural language system, one would prefer to minimize 1-best loss (error) on an evaluation set. Since the error surface for many natural languag...
David A. Smith, Jason Eisner
RAID
1999
Springer
15 years 8 months ago
Combining Knowledge Discovery and Knowledge Engineering to Build IDSs
We have been developing a data mining (i.e., knowledge discovery) framework, MADAM ID, for Mining Audit Data for Automated Models for Intrusion Detection [LSM98, LSM99b, LSM99a]. ...
Wenke Lee, Salvatore J. Stolfo
EMNLP
2008
15 years 5 months ago
Arabic Named Entity Recognition using Optimized Feature Sets
The Named Entity Recognition (NER) task has been garnering significant attention in NLP as it helps improve the performance of many natural language processing applications. In th...
Yassine Benajiba, Mona T. Diab, Paolo Rosso
FMOODS
2008
15 years 5 months ago
Symbolic Step Encodings for Object Based Communicating State Machines
In this work, novel symbolic step encodings of the transition relation for object based communicating state machines are presented. This class of systems is tailored to capture the...
Jori Dubrovin, Tommi A. Junttila, Keijo Heljanko