MBT is a memory-based tagger-generator and tagger in one. The tagger-generator part can generate a sequence tagger on the basis of a training set of tagged sequences; the tagger part can tag new sequences. MBT can, for instance, be used to generate part-of-speech taggers or chunkers for natural language processing. It has also been used for named-entity recognition, information extraction in domain-specific texts, and disfluency chunking in transcribed speech.

• Tagger generation: tagged text in, tagger out
• Optional feedback loop: feed previous tag decision back to input of next decision
• Easily customizable feature representation
• Allows user-provided features
• Automatic generation of separate sub-taggers for known words and unknown words
• Can make use of full algorithmic parameters of TiMBL

• MBT v.3.1.3 is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation.

• Reference Guide (15 pages, 100 kB PDF); Daelemans, W., Zavrel, J., Van den Bosch, A., and Van der Sloot, K. (2007). MBT: Memory-Based Tagger, version 3.1, Reference Guide. ILK Technical Report Series 07-08.

• Recent Advances in Memory-Based Part-of-Speech Tagging. Jakub Zavrel and Walter Daelemans. in: Actas del VI Simposio Internacional de Comunicacion Social, Santiago de Cuba, pp. 590-597, 1999. ILK pub: ILK-9903.
• MBT: A Memory-Based Part of Speech Tagger-Generator. Walter Daelemans, Jakub Zavrel, Peter Berck and Steven Gillis. in: E. Ejerhed and I. Dagan (eds.) Proceedings of the Fourth Workshop on Very Large Corpora, Copenhagen, Denmark, 14-27, 1996.
• Part-of-Speech Tagging for Dutch with MBT, a Memory-based Tagger Generator. Walter Daelemans, Jakub Zavrel, Peter Berck, in: Congresboek van de Interdisciplinaire Onderzoeksconferentie Informatiewetenchap 1996, TU Delft.
• Memory-Based Language Processing. Daelemans, W., and Van den Bosch, A. (2005). Cambridge, UK: Cambridge University Press

An installation of MBT assumes an installed version of TiMBL, version 6.1.2 or higher. Mbt will not work with earlier versions.

TiMBL	Tilburg Memory-Based Learner
MBSP	demo of memory-based English shallow parsing, including Mbt
CGN Tagger-Lemmatizer	demo of Dutch PoS tagging with the CGN tag set, including Mbt
Kiswahili PoS tagger	demo using Mbt, at aflat.org

If you want to be informed about future MBT releases, please send an email to timbl@uvt.nl. We will not use your email for any other purpose.

Walter Daelemans	Antal van den Bosch
CLiPS, Computational Linguistics and Psycholinguistics Research Center	ILK, Induction of Linguistic Knowledge Research Group
University of Antwerp	Tilburg University

1.0

2.0

2.0.1

3.0

3.1

3.1.2

3.1.3