timbl 6.5-3 source package in Ubuntu

Changelog

timbl (6.5-3) unstable; urgency=medium

  * Upload to unstable

 -- Maarten van Gompel <email address hidden>  Thu, 23 Apr 2020 17:59:42 +0200

Upload details

Uploaded by:
Debian Science Team on 2020-04-23
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
any
Section:
science
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Impish release on 2021-04-23 universe science
Hirsute release on 2020-10-23 universe science
Groovy release on 2020-04-29 universe science

Downloads

File Size SHA-256 Checksum
timbl_6.5-3.dsc 1.7 KiB 32bd0ffcfe69456277e42432a44065446d220aeb6c147f45ff2347e23205cc5e
timbl_6.5.orig.tar.gz 567.0 KiB 9bb9dec794997b05501babdfeb44984b4216cf1c070f7c31028a3ff7657bd66f
timbl_6.5-3.debian.tar.xz 5.5 KiB 2955df42eec9e40e4bdb79348c683d662db1868fe8c58e457daa62930f1b2451

No changes file available.

Binary packages built by this source

libtimbl-dev: 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 Centre of Language and Speech Technology
 (Radboud University, Nijmegen, The Netherlands), 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.

libtimbl4: 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 Centre of Language and Speech Technology
 (Radboud University, Nijmegen, The Netherlands), 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.

libtimbl4-dbgsym: debug symbols for libtimbl4
timbl: 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 Centre of Language and Speech Technology
 (Radboud University, Nijmegen, The Netherlands), 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.

timbl-dbgsym: debug symbols for timbl