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README.md

chiasmusDetector

Description:

Software that detects chiasmus (i.e., First shouId be last, last should be first).

python MainS.py myStanfordParsedFile.xml myOutput.xml

Example:

python MainS.py exampleTrue.xml output.xml

xsltproc annotationDoc.xsl output.xml > userFriendlyOutput.txt

Licence:

If you are running all or part of this code please cite:

"Marie Dubremetz and Joakim Nivre (2017); Machine Learning for Rhetorical Figure Detection: More Chiasmus with Less Annotation In: Proceedings of the 21st Nordic Conference of Computational Linguistics (NODALIDA 2017)."

Note that the license is like the Stanford CoreNLP: it is the full GPL , which allows many free uses, but not its use in proprietary software which is distributed to others. For distributors of proprietary software, for commercial licensing contact Marie Dubremetz. firstname.lastname@lingfil.uu.se

You may cite the papers related to the version of the parser you use (Stanford CoreNLP) and NLTK or other packages used in the code.

About

Software that detects chiasmus (i.e., First shouId be last, last should be first). Developed by Marie Dubremetz at University of Uppsala. Sweden.

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