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VU-parser-DE_kernel
===================

Introduction
------------

This is a parser for German text using the Stanford parser (http://nlp.stanford.edu/software/lex-parser.shtml). The input for this module has to be a valid
KAF file with at least the text layer. The output will be the constituent trees in pennTreebank format for each of the sentences in the input KAF.
The tokenization and sentence splitting is taken from the input KAF file, so if your input file has a wrong tokenization/splitting, the output could
contain errors. The number of output constituent trees will be exactly the same as the number of sentences in your input KAF

Requirements
-----------
* VUKafParserPy: parser in python for KAF files (https://github.com/opener-project/VU-kaf-parser)
* lxml: library for processing xml in python
* Stanford parser: http://nlp.stanford.edu/software/lex-parser.shtml

Installation
-----------
Clone the repository to your local machine and set the varible STANFORD_HOME in the file core/stanford_parser_de.py
to point to your local folder of the Stanford parser.

How to run the module with Python
---------------------------------

You can run this module from the command line using Python. The main script is core/stanford_parser_de.py. This script reads the KAF from the standard input
and writes the output to the standard output, generating some log information in the standard error output. To process one file just run:
````shell
cat input.kaf | core/stanford_parser_de.py > input.tree
````

This will read the KAF file in "input.kaf" and will store the constituent trees in "input.tree".


Contact
------
* Ruben Izquierdo
* Vrije University of Amsterdam
* [e-mail]

Version data entries

1 entries across 1 versions & 1 rubygems

Version	Path
opener-constituent-parser-de-1.0.0	README.md