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Source: timbl
Section: science
Priority: optional
Maintainer: Debian Science Team <debian-science-maintainers@lists.alioth.debian.org>
Uploaders: Joost van Baal-Ilić <joostvb@debian.org>, Ko van der Sloot <ko.vandersloot@uvt.nl>
Build-Depends: debhelper (>= 7), cdbs, pkg-config, libxml2-dev, libticcutils2-dev (>=0.3)
Standards-Version: 3.9.4
Homepage: http://ilk.uvt.nl/timbl/
Vcs-Svn: svn://svn.debian.org/svn/debian-science/packages/timbl/trunk
Vcs-Browser: http://svn.debian.org/wsvn/debian-science/packages/timbl/trunk/
Package: timbl
Architecture: any
Depends: ${shlibs:Depends}, ${misc:Depends}
Description: Tilburg Memory Based Learner
Memory-Based Learning (MBL) is a machine-learning method applicable to a wide
range of tasks in Natural Language Processing (NLP).
.
The Tilburg Memory Based Learner, TiMBL, is a tool for NLP research, and for
many other domains where classification tasks are learned from examples. It
is an efficient implementation of k-nearest neighbor classifier.
.
TiMBL's features are:
* Fast, decision-tree-based implementation of k-nearest neighbor
classification;
* Implementations of IB1 and IB2, IGTree, TRIBL, and TRIBL2 algorithms;
* Similarity metrics: Overlap, MVDM, Jeffrey Divergence, Dot product, Cosine;
* Feature weighting metrics: information gain, gain ratio, chi squared,
shared variance;
* Distance weighting metrics: inverse, inverse linear, exponential decay;
* Extensive verbosity options to inspect nearest neighbor sets;
* Server functionality and extensive API;
* Fast leave-one-out testing and internal cross-validation;
* and Handles user-defined example weighting.
.
TiMBL is a product of the ILK Research Group (Tilburg University, The
Netherlands) and the CLiPS Research Centre (University of Antwerp, Belgium).
.
If you do scientific research in NLP, timbl will likely be of use to you.
Package: libtimbl4-dev
Section: libdevel
Architecture: any
Depends: libtimbl4 (= ${binary:Version}), ${misc:Depends}
Conflicts: libtimbl3-dev, libtimbl-dev
Replaces: libtimbl3-dev, libtimbl-dev
Description: Tilburg Memory Based Learner - development
The Tilburg Memory Based Learner, TiMBL, is a tool for Natural Language
Processing research, and for many other domains where classification tasks are
learned from examples. It is an efficient implementation of k-nearest neighbor
classifier.
.
TiMBL is a product of the ILK Research Group (Tilburg University, The
Netherlands) and the CLiPS Research Centre (University of Antwerp, Belgium).
.
This package provides the TiMBL header files required to compile C++ programs
that use TiMBL.
Package: libtimbl4
Section: libs
Architecture: any
Depends: ${shlibs:Depends}, ${misc:Depends}
Description: Tilburg Memory Based Learner - runtime
The Tilburg Memory Based Learner, TiMBL, is a tool for Natural Language
Processing research, and for many other domains where classification tasks are
learned from examples. It is an efficient implementation of k-nearest neighbor
classifier.
.
TiMBL is a product of the ILK Research Group (Tilburg University, The
Netherlands) and the CLiPS Research Centre (University of Antwerp, Belgium).
.
This package provides the runtime files required to run programs that use
TiMBL.
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