TinySVM: Support Vector Machines.

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TinySVM: Support Vector Machines.

TinySVM

Attribution details: TinySVM is free software distributed under the GNU Lesser General Public License <http://www.gnu.org/copyleft/lesser.html>.

http://chasen.org/~taku/software/TinySVM/

TinySVM is an implementation of Support Vector Machines (SVMs) (Vapnik, 1995; Vapnik, 1998) for the problem of pattern recognition.

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Distribution

Availability: Available

Licences

GPL

Conditions: Non Commercial Use

Distribution Details

User Nature: Academic

Download location: hidden

Distribution Access/Medium: Downloadable

Execution location: hidden

Attribution Details: TinySVM is free software distributed under the GNU Lesser General Public License <http://www.gnu.org/copyleft/lesser.html>.

Contact Person

Taku Kudo

toolService

Tool

Language Independent

Input

Media type: Text, Text Numerical

Resource type: Corpus

Modality: Written Language

Annotation type: Morphosyntactic Annotation - Pos Tagging

Annotation format: Vector with the class and a list of numeric feature-value pairs.

Segmentation level: Word

Output

Media type: Text

Resource type: Corpus

Modality: Written Language

Annotation type: Morphosyntactic Annotation - Pos Tagging

Annotation format: Data vector

Segmentation level: Word

Operation

Operating system: Linux, Mac - OS, Windows

Resource Creation

Resource Creator

Taku Kudo

Metadata

Created: 17/07/2012

Last Updated: 10/12/2015

Metadata Creator

Amália Mendes

Version

Version: 0.09

Last Updated: 20/08/2002

Usage

Foreseen UseNlp Applications

Use specific to NLP: Morphosyntactic Annotation - Pos Tagging

Actual Use - Nlp Applications

Use specific to NLP: Morphosyntactic Annotation - Pos Tagging

Usage Report

Document Type: Article

Kudo, T., Y. Matsumoto , Chunking with support vector machines, , 2001

Editor: proceedings NAACL-01

Document Language: English

Documentation

Tool Documentation: Manual

Document Type: Article

Taku K. & Y. Matsumoto , Use of support vector learning for chunk identification, http://acl.ldc.upenn... , CoNLL-00 , 2000

Publisher: Proceedings CoNLL-00

Document Language: English

Document Type: Article

Kudo, T. , Y. Matsumoto , Chunking with support vector machines, , 2001

Editor: proceedings NAACL-01

Document Language: English

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