dimbl - 0.15-2.1+b1 main

Dimbl is a wrapper around the k-nearest neighbor classifier in TiMBL, offering
parallel classification on multi-CPU machines. Dimbl splits the original
training set, builds separate TiMBL classifiers per training subset, and
merges their nearest-neighbor sets per classified instance
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Dimbl's features are:
* Wraps neatly around TiMBL, retaining all command line options;
* Knows what to do with your multiple, duo, or quad cores;
* Makes use of the OpenMP specification for parallel programming;
* Can attain superlinear speed gains compared to standard TiMBL.
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Dimbl is a product of the ILK Research Group (Tilburg University, The
Netherlands).
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If you do scientific research in Natural Language Processing using the
Memory-Based Learning technique, Dimbl will likely be of use to you.