Metadata-Version: 1.2
Name: SoMeWeTa
Version: 1.1.0
Summary: A part-of-speech tagger with support for domain adaptation and external resources.
Home-page: https://github.com/tsproisl/SoMeWeTa
Author: Thomas Proisl
Author-email: thomas.proisl@fau.de
License: GNU General Public License v3 or later (GPLv3+)
Download-URL: https://github.com/tsproisl/SoMeWeTa/archive/v1.1.0.tar.gz
Description-Content-Type: UNKNOWN
Description: SoMeWeTa
        ========
        
        SoMeWeTa is a part-of-speech tagger that supports domain adaptation
        and that can incorporate external sources of information such as Brown
        clusters and lexica. It is based on the averaged structured perceptron
        and uses beam search and an early update strategy.
        
        SoMeWeTa achieves state-of-the-art results on the German web and
        social media texts from the `EmpiriST 2015 shared task
        <https://sites.google.com/site/empirist2015/>`_ on automatic
        linguistic annotation of computer-mediated communication / social
        media. Therefore, SoMeWeTa is particularly well-suited to tag all
        kinds of written German discourse, for example chats, forums, wiki
        talk pages, tweets, blog comments, social networks, SMS and WhatsApp
        dialogues.
        
        In addition, we also provide models trained on German and English
        newspaper texts. For both languages, SoMeWeTa achieves highly
        competitive results close to the current state of the art.
        
        More detailed documentation is available `here
        <https://github.com/tsproisl/SoMeWeTa>`_.
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Natural Language :: German
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Text Processing :: Linguistic
Requires-Python: >=3.4
