MaltParser 1.7.2

Open source and command line based data-driven parser-generator
MaltParser is a free and open source system for data-driven dependency parsing, which can be used to induce a parsing model from treebank data and to parse new data using an induced model.

MaltParser implements seven deterministic parsing algorithms:
· Nivre arc-eager
· Nivre arc-standard
· Covington non-projective
· Covington projective
· Stack projective
· Stack swap-eager
· Stack swap-lazy

MaltParser allows users to define feature models of arbitrary complexity.

last updated on:
August 20th, 2014, 7:32 GMT
file size:
4.7 MB
price:
FREE!
developed by:
MaltParser Team
license type:
Freeware
operating system(s):
Mac OS X
binary format:
-
category:
Home \ Developer Tools

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MaltParser
What's New in This Release:
  • Changes:
  • Add a new option group "multiplanar" that affect the parsing algorithm planar and 2-planar (thanks to Carlos Gómez-Rodríguez)
  • Liblinear is now the default learner.Liblinear is now the default learner.
  • Liblinear interface: Abort and presentation of an error message when number of training instances * number of classes > Integer.MAX_VALUE (limitation of the size of Java array)
read full changelog

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