[Corpora-List] MaltOptimizer

[Miguel Ballesteros]

Let us introduce MaltOptimizer, an optimization tool for MaltParser.

MaltOptimizer has been (and is) developed by Miguel
Ballesteros<http://nil.fdi.ucm.es/index.php?q=node/449>from
Complutense
University of Madrid <http://www.ucm.es/> (Spain) and Joakim
Nivre<http://stp.lingfil.uu.se/%7Enivre/>from Uppsala
University <http://www.uu.se/en/> (Sweden).

Freely available statistical parsers often require careful optimization to
produce state-of-the-art results, which can be a non-trivial task
especially for application developers who are not interested in parsing
research for its own sake. MaltOptimizer is a freely available tool
developed to facilitate parser optimization with the open-source system
MaltParser, which offers a wide range of parameters for optimization,
including nine different parsing algorithms, two different machine learning
libraries (each with a number of different learners), and an expressive
specification language that can be used to define arbitrarily rich feature
models. MaltOptimizer is an interactive system that first performs an
analysis of the training set in order to select a suitable starting point
for optimization and then guides the user through the optimization of
parsing algorithm, feature model, and learning algorithm parameters.

The system will be demonstrated in the System Demonstration Session at EACL
2012 <http://eacl2012.org/home/index.html> and is further described in a
paper to appear at LREC 2012 <http://www.lrec-conf.org/lrec2012/>.

For further information and download:  http://nil.fdi.ucm.es/maltoptimizer

Best regards,
Miguel and Joakim
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