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HITAEXT README
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Hitaext: Hierarchical Text Alignment Tool
Version 1.0
Copyright (C) 2007-2013 by Erwin Marsi and TST-Centrale
http://daeso.uvt.nl/hitaext
e.marsi@gmail.com
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DESCRIPTION
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Hitaext is a graphical tool for manually aligning pairs of text documents with
XML markup. It reads two XML documents and allows you to align XML elements on
the basis of the text they contain. The format of the source and target
documents is free as long as it is well-formed XML, and both documents are
read-only. Alignment is virtually unrestricted: you can create one-to-one,
one-to-many or even many-to-many alignments between arbitrary elements at any
level of the XML tree structure. The alignments are stored in a simple XML
format, which can be used for further processing. Hitaext is implemented in
the Python programming language using the wxPython GUI toolkit. It has been
tested on Mac OS X, GNU Linux and MS Windows, but should run on any platform
which is supported by Python and wxPython.
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LICENSE & USAGE
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Hitaext is licensed under the GNU Public License. For detailed license
information see the file COPYING
Hitaext is provided free of charge. In return I would like to ask the
following. In technical or scientfic publications about research in which
Hitaext was used, please refer to one the following papers:
Erwin Marsi and Emiel Krahmer, "Annotating a parallel monolingual treebank
with semantic similarity relations". In: Proceeding of the Sixth
International Workshop on Treebanks and Linguistic Theories, December 7-8,
2007, Bergen, Norway.
In other cases of commercial or educational use, please link the Hitaext
webpage https://github.com/emsrc/hitaext
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INSTALLATION
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Python packages are available from
https://github.com/emsrc/hitaext/wiki/Python-Packages
For installation instruction see the file INSTALL.
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USAGE
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For documentation see the Hitaext User Manual located under the Help menu.
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CONTACT
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For questions, bug reports or feature requests, please contact
Erwin Marsi at e.marsi@gmail.com.
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ACKNOWLEDGEMENTS
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This software was developed within the DAESO research project
(http://daeso.uvt.nl) funded by the Stevin programme
(http://taalunieversum.org/taal/technologie/stevin/)
We gladly acknowledge:
- the Python programming language (http://www.python.org/)
- the wxPython GUI toolkit (http://www.wxpython.org/)
- the Wingware's Python IDE (http://www.wingware.com/)
- the packaging programs
py2app (http://svn.pythonmac.org/py2app/py2app/trunk/doc/index.html),
py2exe (http://www.py2exe.org/), and
Inno Setup (http://www.jrsoftware.org/isinfo.php)
- the feedback from annotators Paul van Pelt and Jurry de Vos