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        "author": "Igor Ezersky",
        "author_email": "igor.ezersky.work@gmail.com",
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            "License :: OSI Approved :: MIT License",
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        "description": "Morphy\n========\n\n`Morphy` is a Python library for morphological analysis. Presents a set of simple interfaces for segmentation, \ntokenization, lemmatization, and text filtering. Based on `nltk`, `spacy` and `pymorphy2`. \n\n\nFeatures\n--------\n\n* **Fully supported multilanguage** support (English, German, Spanish, Portuguese, French, Italian, Dutch, Russian)\n* Part-of-speech tagging\n* Sentence segmentation\n* Named entity recognition\n* Dependency parsing\n* Flexible customizability\n* Caching\n\nUsage\n------\n\n**Language detection**\n\n```python\nfrom morphy import Language\ntext = 'Lorem Ipsum is simply dummy text of the printing and typesetting industry'\nlang = Language(text=text)\nprint(lang)\n```\n\n**Sentence segmentation**\n\n```python\nfrom morphy import MultiLang\ntext = 'Lorem Ipsum is simply dummy text of the printing and typesetting industry'\nenglish_proc = MultiLang(lang='en')\ndoc = english_proc(text)\nfor sent in doc.sentences:\n    print('%s\\n%s' % (sent, '\\n'.join(str(sent.tokens))))\n```\n\n**Lemmatization**\n\n```python\nfrom morphy import MultiLang\ntext = 'Lorem Ipsum is simply dummy text of the printing and typesetting industry'\nenglish_proc = MultiLang(lang='en')\ndoc = english_proc(text)\nfor token in doc.tokens:\n    print('%s --> %s' % (token.text, token.lemma))\n```\n\n\nInstallation\n-------------\n\n**Option 1: Via PyPi**\n\nUsing pip, `morphy` releases are available as source packages and binary wheels (as of v0.1.0).\n\n```bash\npip install morphy\n```\n\nWhen using pip it is generally recommended to install packages in a virtual environment to avoid modifying system state:\n\n```bash\npython -m virtualenv venv\nsource venv/bin/activate\npip install morphy\n```\n\n**Option 2: Source Via Git**\n\n```bash\ngit clone git@bitbucket.org:igor_ezersky/morphy.git\ncd morphy\npython -m virtualenv venv\nsource venv/bin/activate\npython setup.py install\n```\n\n**Option 3: Source Zip**\n\nDownload a zip of the code via GitHub or PyPi. Then follow the same instructions in option 2.\n\n**IMPORTANT**\n\nAfter package was installed, it is necessary to download `nltk` and `spacy` data.\n\n```bash\npython -c \"import nltk; nltk.download('punkt')\"\npython -m spacy download en\npython -m spacy download xx\n# the line above should be repeated for each language that you need\n```\n\nYou can specify which `spacy` model would you like to install, check their [documentation](https://spacy.io/usage/).\n\nRequirements\n------------\n\n* Python 3.3+\n* [`spacy`](https://spacy.io)\n* [`nltk`](https://www.nltk.org)\n* [`cached_property`](https://github.com/pydanny/cached-property)\n* [`langdetect`](https://github.com/Mimino666/langdetect)\n\nNotes\n-----\n\nIf you are using Windows there can be some errors while installing `morphy` requirements (e.g. `ujson`, `cytoolz`):\n\n``\nerror: command 'cl.exe' failed: No such file or directory\n``\n\nManual installation from compiled binaries of this two packages can be a solution. You can find them at [this unofficial \nPython distributive repo](https://www.lfd.uci.edu/~gohlke/pythonlibs/). \n\n\nCurrent limitations\n-------------------\n1. Installing `spacy` models for each language is required.\n2. Downloading `nltk` tokenizer data is required.",
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