TiMBL implements several memory-based learning algorithms.
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=========================================== TiMBL: Tilburg Memory Based Learner

TiMBL 6.4 (c) CLS/ILK/CLiPS 1998 - 2018
Centre for Language Studies, Radboud University Nijmegen
Induction of Linguistic Knowledge Research Group, Tilburg University and
Centre for Dutch Language and Speech, University of Antwerp

Website: https://languagemachines.github.io/timbl/

TiMBL is an open source software package implementing several memory-based learning algorithms, among which IB1-IG, an implementation of k-nearest neighbor classification with feature weighting suitable for symbolic feature spaces, and IGTree, a decision-tree approximation of IB1-IG. All implemented algorithms have in common that they store some representation of the training set explicitly in memory. During testing, new cases are classified by extrapolation from the most similar stored cases.

For over fifteen years TiMBL has been mostly used in natural language processing as a machine learning classifier component, but its use extends to virtually any supervised machine learning domain. Due to its particular decision-tree-based implementation, TiMBL is in many cases far more efficient in classification than a standard k-nearest neighbor algorithm would be.

This is a major extension to the sixth main release of TiMBL. Most significant change: The main program is now called 'timbl' and not 'Timbl' anymore. Be warned! This change is part of our effort to get our MBL software into software distributions like Debian, Ubuntu, RedHat .

Comments and bug-reports are welcome at our issue tracker at https://github.com/LanguageMachines/timbl/issues or by mailing lamasoftware (at) science.ru.nl. Documentation and more info may be found on https://languagemachines.github.io/timbl .

TiMBL is distributed under the GNU Public Licence v3 (see the file COPYING).

This software has been tested on:

  • Intel platforms running several versions of Linux, including Ubuntu, Debian, Arch Linux, Fedora (both 32 and 64 bits)
  • MAC platform running OS X 10.10

Alternatively, with some effort, you may get it to work on a Windows platform using Cygwin.


  • GCC (use 4.8 or later)
  • Clang

Contents of this distribution:

  • Sources
  • Licensing information ( COPYING )
  • Build system based on GNU Autotools
  • Example data files ( in the demos directory )
  • Documentation ( in the docs directory )

Dependencies: To be able to succesfully build TiMBL from the tarball, you need the following pakages:

To install TiMBL, first consult whether your distribution's package manager has an up-to-date package for TiMBL. If not, for easy installation of TiMBL and all dependencies, it is included as part of our software distribution LaMachine: https://proycon.github.io/LaMachine .

To compile and install manually from source instead, provided you have all the dependencies installed:

$ bash bootstrap.sh
$ ./configure
$ make
$ make install