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        "author": "Corien Bary, Iris Hendrickx, Peter Berck, Wessel Stoop",
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            "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
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            "Programming Language :: Python :: 3",
            "Topic :: Internet :: WWW/HTTP :: WSGI :: Application",
            "Topic :: Text Processing :: Linguistic"
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        "description": "# glem\nGLEM is a lemmatizer for Ancient Greek.\n\nIt has been created in the project 'Unraveling the Language of Perspective' (http://ncs.ruhosting.nl/perspective/), which is supported by the EU under FP7, ERC Starting Grant 338421-Perspective.\n\nThe paper 'A memory-based lemmatizer for Ancient Greek' reports on how it works, what material it uses, and what the accuracy is. It can be found in the repository and at http://dl.acm.org/citation.cfm?id=3078100.\n\nA webservice where you can upload texts that you want to have lemmatized can be found at https://webservices-lst.science.ru.nl/portal/\n\n\nDependencies\n============\n\nJust **Python 3** for the simple word list based lemmatizer.\n\nTo add machine learning based lemmatization that also takes into account the context, you also need **[Frog](https://languagemachines.github.io/frog/)**. By far the easiest way to install Frog is to use [LaMachine](https://proycon.github.io/LaMachine/).\n\nInstallation\n=============\n\nRun: ``python3 setup.py install``\n\nWe recommend using LaMachine or a Python virtual environment of your own. Alternatively for a global installation,\nprepend ``sudo``.\n\n\nExample usage\n=============\n\nGlem comes with a pretrained model, based on lemmas chosen by humans (in the UiO PROIEL project, PI: Dag Haug), for Herodotus. If you are inside the Lamachine environment (something like ```lamachine/bin/activate```), you can use it (with or without Frog) as follows:\n\n```glem -f input.txt```\n\nThe files for this model can be found in ```glem/pretrained_models/herodotus``` .",
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