{
    "info": {
        "author": "Alireza Nourian",
        "author_email": "az.nourian@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "License :: OSI Approved :: MIT License",
            "Natural Language :: Persian",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Topic :: Text Processing"
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        "description": "Hazm\n====\n\nPython library for digesting Persian text.\n\n+ Text cleaning\n+ Sentence and word tokenizer\n+ Word lemmatizer\n+ POS tagger\n+ Shallow parser\n+ Dependency parser\n+ Interfaces for Persian corpora\n+ [NLTK](http://nltk.org/) compatible\n+ Python 2.7, 3.4, 3.5 and 3.6 support\n+ [![Build Status](https://travis-ci.org/sobhe/hazm.png)](https://travis-ci.org/sobhe/hazm)\n\n\n## Usage\n\n```python\n>>> from __future__ import unicode_literals\n>>> from hazm import *\n\n>>> normalizer = Normalizer()\n>>> normalizer.normalize('\u0627\u0635\u0644\u0627\u062d \u0646\u0648\u064a\u0633\u0647 \u0647\u0627 \u0648 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0646\u06cc\u0645\u200c\u0641\u0627\u0635\u0644\u0647 \u067e\u0631\u062f\u0627\u0632\u0634 \u0631\u0627 \u0622\u0633\u0627\u0646 \u0645\u064a \u0643\u0646\u062f')\n'\u0627\u0635\u0644\u0627\u062d \u0646\u0648\u06cc\u0633\u0647\u200c\u0647\u0627 \u0648 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0646\u06cc\u0645\u200c\u0641\u0627\u0635\u0644\u0647 \u067e\u0631\u062f\u0627\u0632\u0634 \u0631\u0627 \u0622\u0633\u0627\u0646 \u0645\u06cc\u200c\u06a9\u0646\u062f'\n\n>>> sent_tokenize('\u0645\u0627 \u0647\u0645 \u0628\u0631\u0627\u06cc \u0648\u0635\u0644 \u06a9\u0631\u062f\u0646 \u0622\u0645\u062f\u06cc\u0645! \u0648\u0644\u06cc \u0628\u0631\u0627\u06cc \u067e\u0631\u062f\u0627\u0632\u0634\u060c \u062c\u062f\u0627 \u0628\u0647\u062a\u0631 \u0646\u06cc\u0633\u062a\u061f')\n['\u0645\u0627 \u0647\u0645 \u0628\u0631\u0627\u06cc \u0648\u0635\u0644 \u06a9\u0631\u062f\u0646 \u0622\u0645\u062f\u06cc\u0645!', '\u0648\u0644\u06cc \u0628\u0631\u0627\u06cc \u067e\u0631\u062f\u0627\u0632\u0634\u060c \u062c\u062f\u0627 \u0628\u0647\u062a\u0631 \u0646\u06cc\u0633\u062a\u061f']\n>>> word_tokenize('\u0648\u0644\u06cc \u0628\u0631\u0627\u06cc \u067e\u0631\u062f\u0627\u0632\u0634\u060c \u062c\u062f\u0627 \u0628\u0647\u062a\u0631 \u0646\u06cc\u0633\u062a\u061f')\n['\u0648\u0644\u06cc', '\u0628\u0631\u0627\u06cc', '\u067e\u0631\u062f\u0627\u0632\u0634', '\u060c', '\u062c\u062f\u0627', '\u0628\u0647\u062a\u0631', '\u0646\u06cc\u0633\u062a', '\u061f']\n\n>>> stemmer = Stemmer()\n>>> stemmer.stem('\u06a9\u062a\u0627\u0628\u200c\u0647\u0627')\n'\u06a9\u062a\u0627\u0628'\n>>> lemmatizer = Lemmatizer()\n>>> lemmatizer.lemmatize('\u0645\u06cc\u200c\u0631\u0648\u0645')\n'\u0631\u0641\u062a#\u0631\u0648'\n\n>>> tagger = POSTagger(model='resources/postagger.model')\n>>> tagger.tag(word_tokenize('\u0645\u0627 \u0628\u0633\u06cc\u0627\u0631 \u06a9\u062a\u0627\u0628 \u0645\u06cc\u200c\u062e\u0648\u0627\u0646\u06cc\u0645'))\n[('\u0645\u0627', 'PRO'), ('\u0628\u0633\u06cc\u0627\u0631', 'ADV'), ('\u06a9\u062a\u0627\u0628', 'N'), ('\u0645\u06cc\u200c\u062e\u0648\u0627\u0646\u06cc\u0645', 'V')]\n\n>>> chunker = Chunker(model='resources/chunker.model')\n>>> tagged = tagger.tag(word_tokenize('\u06a9\u062a\u0627\u0628 \u062e\u0648\u0627\u0646\u062f\u0646 \u0631\u0627 \u062f\u0648\u0633\u062a \u062f\u0627\u0631\u06cc\u0645'))\n>>> tree2brackets(chunker.parse(tagged))\n'[\u06a9\u062a\u0627\u0628 \u062e\u0648\u0627\u0646\u062f\u0646 NP] [\u0631\u0627 POSTP] [\u062f\u0648\u0633\u062a \u062f\u0627\u0631\u06cc\u0645 VP]'\n\n>>> parser = DependencyParser(tagger=tagger, lemmatizer=lemmatizer)\n>>> parser.parse(word_tokenize('\u0632\u0646\u06af\u200c\u0647\u0627 \u0628\u0631\u0627\u06cc \u06a9\u0647 \u0628\u0647 \u0635\u062f\u0627 \u062f\u0631\u0645\u06cc\u200c\u0622\u06cc\u062f\u061f'))\n<DependencyGraph with 8 nodes>\n\n```\n\n\n## Installation\nThe latest stabe verson of Hazm can be installed through `pip`:\n\n\tpip install hazm\n\nBut for testing or using Hazm with the latest updates you may use:\n\n\tpip install https://github.com/sobhe/hazm/archive/master.zip --upgrade\n\nWe have also trained [tagger and parser models](https://github.com/sobhe/hazm/releases/download/v0.5/resources-0.5.zip). You may put these models in the `resources` folder of your project.\n\n\n## Extensions\n\nNote: These are not official versions of hazm, not uptodate on functionality and are not supported by Sobhe.\n\n+ [**JHazm**](https://github.com/mojtaba-khallash/JHazm): A Java port of Hazm\n+ [**NHazm**](https://github.com/mojtaba-khallash/NHazm): A C# port of Hazm\n\n## Thanks\n\n+ to constributors: [Mojtaba Khallash](https://github.com/mojtaba-khallash) and [Mohsen Imany](https://github.com/imani).\n+ to [Virastyar](http://virastyar.ir/) project for persian word list.\n\n\n",
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