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This package provides utility classes and static methods for Python that make use of different third party software commonly used in text processing such as: Unitex-GramLab, TreeTagger, Apache-Tika and Google-Tesseract.

Python 100.00%
nlp nlp-parsing unitexgramlab treetagger ocr text-processing corpus-linguistics corpus-tools corpus-processing

jerteh's Introduction

Jerteh

This package provides utility classes and static methods for Python that make use of different third party software commonly used in text processing such as: Unitex-GramLab, TreeTagger, Apache-Tika and Google-Tesseract.

Installation

Linux
  1. pip: pip install -e git+https://github.com/petar-popovic-bg/Jerteh.git#egg=Jerteh

    update: pip install -e git+https://github.com/petar-popovic-bg/Jerteh.git#egg=Jerteh --upgrade

  2. Edit your treetaggerwrapper.py file inside your virtual environment, so the wrapper supports Serbian-latin and Serbian-cyrillic script.

    """
    ('slovak', 'sk'),
    ('swahili', 'sw'),
    ('serbian-lat', 'sr-lat'),
    ('serbian-cyr', 'sr-cyr')]:
    ls = g_langsupport[lang] = copy.deepcopy(g_langsupport['__base__'])
    ...
    g_langsupport['sk']['dummysentence'] = 'To je koniec . .'
    g_langsupport['sw']['dummysentence'] = 'Hii ni mwisho . .'
    g_langsupport['sr-lat']['dummysentence'] = 'Ovo je kraj . .'
    g_langsupport['sr-cyr']['dummysentence'] = 'Ово је крај . .'
    """
  3. Edit configure.py, so it points to your local installations of TreeTagger and Unitex.

Instructions

Using TreeTagger and Unitex classes requires TreeTagger and Unitex to be installed on your machine.

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