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Software release: ABL 1.0
Alignment-Based Learning
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Alignment-Based Learning (ABL) is a symbolic grammar inference
framework that has successfully been applied for several unsupervised
machine learning tasks in Natural Language Processing (NLP). Given
sequences of symbols only, a system that implements ABL induces
structure by aligning and comparing the input sequences. As a result,
the input sequences are augmented with the induced structure.
More information on the underlying ABL system and its implementation
can be found in the following publications:
* "Bootstrapping Structure into Language: Alignment-Based Learning",
Menno van Zaanen, 2001,
PhD Thesis, School of Computing, University of Leeds, UK.
http://www.ics.mq.edu.au/~menno/personal_files/docs/t_leeds.ps.gz
http://www.ics.mq.edu.au/~menno/personal_files/docs/t_leeds.pdf
* "Implementing Alignment-Based Learning",
Menno van Zaanen, 2002,
In: Proceedings of the International Colloquium on Grammatical
Inference (ICGI), pp 312-314, Amsterdam, the Netherlands.
http://springerlink.metapress.com/openurl.asp?genre=article&issn=0302-9743&volume=2484&spage=312
* "String alignment in grammatical inference: what suffix trees can do",
Jeroen Geertzen, 2003,
Technical report ILK-0311, Tilburg University, The Netherlands.
http://ilk.uvt.nl/downloads/pub/papers/ilk0311.pdf
The package contains a C++ implementation of ABL as well as a
reference guide (in texinfo) and the text of the licence. The package
should be easy to install on Linux/UNIX systems (using configure). It
is maintained by:
Menno van Zaanen (menno@ics.mq.edu.au)
The latest version of this package can be found on:
http://www.ics.mq.edu.au/~menno/research/software/abl/
For any questions, remarks, bugs, improvements, or any other matters
of concern about this package, send an email to:
menno@ics.mq.edu.au.
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For comments and bug reports relating to ABL, please send mail to:
menno@ics.mq.edu.au
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