Dear all,
please check SVMTool v1.2.1 at http://www.lsi.upc.es/~nlp/SVMTool
<http://www.lsi.upc.es/%7Enlp/SVMTool>,
developed a the TALP Research Center in Universitat Politècnica de
Catalunya
(http://www.lsi.upc.es/~nlp) and released under LGPL.
In this version some new features have been incorporated, specially:
* *Sentence-level tagging* improvement (faster decoding, beam serch...)
* *C parameter tuning* algorithm (against a validation set or
through /cross-validation/)
* *Train/Test* options (test against a test set or through
/cross-validation/)
Also available now:
* state-of-the-art pos-tagging models for Catalan, Spanish and
English (trained on 3LB
<http://www.dlsi.ua.es/projectes/3lb/index_en.html> and Penn
Treebank <http://www.cis.upenn.edu/%7Etreebank/home.html>,
respectively)
* weight filtering (gain in both speed and accuracy)
* unknown word features (greater flexibility)
* use of a softmax function to transform scores into probabilities
(applicable for sentence-level tagging and LRL tagging)
* get all predictions (not only the winner)
* lemmatization (given a lemmae dictionary in a convenient format)
* very high verbosity
finally, a memory leak has been fixed.
do not hesitate to contact me for any comment, suggestion, bug reporting.
of course, any feedback will be highly appreciated,
best,
jesus gimenez
-- Jesus Gimenez - PhD student at Universitat Politècnica de Catalunya Address: C/Jordi Girona 1-3, edifici Omega, 305. Barcelona (08034). phone: (+34) 93 4137950 fax: (+34) 93 4017014 http://www.lsi.upc.es/~jgimenez
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