---------------------------------------------------------------------- Software release: ABL 1.0 Alignment-Based Learning ----------------------------------------------------------------------
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 ([EMAIL PROTECTED]) 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: [EMAIL PROTECTED] ---------------------------------------------------------------------- For comments and bug reports relating to ABL, please send mail to: [EMAIL PROTECTED] ---------------------------------------------------------------------- _______________________________________________ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai