Tools for Transformation-Based Learning
The µ-TBL system represents an attempt to use the search and database capabilities of the Prolog
programming language to implement a generalized form of transformation-based learning. The µ-TBL system is
designed to be:
- The system supports four types of transformational operators (four types
of rules) by means of which not only traditional ‘Brill-taggers’, but also
Constraint Grammar disambiguators, are possible to train.
- Easily extensible
- Through its support of a compositional rule/template formalism and ‘pluggable’
algorithms, the system can easily be tailored to different learning tasks.
- A number of benchmarks have been run which show that the system is fairly
efficient an order of magnitude faster than Brill’s contextual-rule
You may download papers and software, and there are example applications to experiment with. Send mail to firstname.lastname@example.org if you want to be notified of further
developments of the software.
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