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 currently includes two machine learning package :
- LIBSVM - A Library for Support Vector Machine.
- LIBLINEAR -- A Library for Large Linear Classification
The latest version of MaltParser is available from the MaltParser download page
Download the Zip File : malt 1.3.1
Check if there are newer versions available.
Download the zip file to the directory where you want to extract it or copy it to the directory.
open your command prompt and set the path to the directory . Now type
prompt> unzip malt-1.3.1.zip
To run MaltParser type the following at the command line prompt (it is important that you are in the malt-1.3.1 directory):
prompt> java -jar malt.jar
If MaltParser displays something like the message below, the distribution has been installed successfully.
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MaltParser 1.3.1
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MALT (Models and Algorithms for Language Technology) Group
Vaxjo University and Uppsala University
Sweden
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Usage:
java -jar malt.jar -f
java -jar malt.jar -h for more help and options
help ( -h) : Show options
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option_file ( -f) : Path to option file
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verbosity *( -v) : Verbosity level
debug - Logging of debugging messages
error - Logging of error events
fatal - Logging of very severe error events
info - Logging of informational messages
off - Logging turned off
warn - Logging of harmful situations
----------------------------------------------------------------------------- Documentation: docs/index.html
To be able to build MaltParser you need Java SE Development Kit (JDK) 6 and Apache Ant 1.7.0. If you dont have these tools please download and install them by following the instructions on their web sites.
To build the MaltParser distribution:
prompt> cdprompt> ant dist
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