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    "info": {
        "author": "Sanskrit programmers",
        "author_email": "sanskrit-programmers@googlegroups.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "Intended Audience :: Education",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6",
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        "description": "sanskrit\\_parser\n================\n\nParsers for Sanskrit / \u0938\u0902\u0938\u094d\u0915\u0943\u0924\u092e\u094d\n\n|CI Build Status|\n\n**NOTE:** This project is still under development. Both over-generation\n(invalid forms/splits) and under-generation (missing valid forms/splits)\nare quite likely. Please see the Sanskrit Parser Stack section below for\ndetailed status. Report any issues\n`here <https://github.com/kmadathil/sanskrit_parser/issues>`__.\n\nPlease feel free to ping us if you would like to collaborate on this\nproject.\n\nTry it out!\n-----------\n\nA web interface is available here -\nhttps://kmadathil.github.io/sanskrit\\_parser/ui/index.html\n\nInstallation\n------------\n\nThis project has been tested and developed using Python 2.7. A port to\nPython 3 has been completed, and everything *should* now work in both\nversions of Python.\n\n::\n\n    pip install sanskrit_parser\n\nUsage\n-----\n\n-  See `generated sphynx\n   docs <https://kmadathil.github.io/sanskrit_parser/build/html/>`__.\n-  PS: Command line usage is also documented there.\n\nDeploying REST API server\n~~~~~~~~~~~~~~~~~~~~~~~~~\n\nRun:\n\n::\n\n    sudo mkdir /var/www/.sanskrit_parser\n    sudo chmod a+rwx /var/www/.sanskrit_parser\n\nContribution\n------------\n\n-  Generate docs: ``cd docs; make html``\n\nSanskrit Parser Stack\n---------------------\n\nStack of parsing tools\n\nLevel 0\n~~~~~~~\n\nSandhi splitting subroutine Input: Phoneme sequence and Phoneme number\nto split at Action: Perform a sandhi split at given input phoneme number\nOuptut: left and right sequences (multiple options will be output). No\nsemantic validation will be performed (up to higher levels)\n\nCurrent Status\n^^^^^^^^^^^^^^\n\nModule that performs sandhi split/join and convenient rule definition is\nat ``lexical_analyzer/sandhi.py``.\n\nRule definitions (human readable!) are at\n``lexical_analyzer/sandhi_rules/*.txt``\n\nLevel 1\n~~~~~~~\n\n-  From dhatu + lakAra + puruSha + vachana to pada and vice versa\n-  From prAtipadika + vibhakti + vachana to pada and vice versa\n-  Upasarga + dhAtu forms - forward and backwards\n-  nAmadhAtu forms\n-  Krt forms - forwards and backwards\n-  Taddhita forms - forwards and backwards\n\nCurrent Status\n^^^^^^^^^^^^^^\n\nTo be done.\n\nHowever, we have a usable solution with inriaxmlwrapper + Prof. Gerard\nHuet's forms database to act as queriable form database. That gives us\nthe bare minimum we need from Level 1, so Level 2 can work.\n\nLevel 2\n~~~~~~~\n\nInput\n^^^^^\n\nSanskrit Sentence #### Action \\* Traverse the sentence, splitting it (or\nnot) at each location to determine all possible valid splits \\* Traverse\nfrom left to right \\* Using dynamic programming, assemble the results of\nall choices\n\n::\n\n      To split or not to split at each phoneme\n\n      If split, all possible left/right combination of phonemes that can result\n\n      Once split, check if the left section is a valid pada (use level 1 tools to pick pada type and tag morphologically) \n\n      If left section is valid, proceed to split the right section\n\n-  At the end of this step, we will have all possible syntactically\n   valid splits with morphological tags\n\nOutput\n^^^^^^\n\nAll semantically valid sandhi split sequences\n\nCurrent Status\n^^^^^^^^^^^^^^\n\nModule that performs sentence split is at\n``lexical_analyzer/SanksritLexicalAnalyzer.py``\n\nLevel 3\n~~~~~~~\n\nInput\n^^^^^\n\nSemantically valid sequence of tagged padas (output of Level 1) ####\nAction: \\* Assemble graphs of morphological constraints\n\n::\n\n    viseShaNa - viseShya\n\n    karaka/vibhakti\n\n    vachana/puruSha constraints on tiGantas and subantas\n\n-  Check validity of graphs #### Output\n\n1. Is the input sequence a morphologically valid sentence?\n2. Enhanced sequence of tagged padas, with karakas tagged, and a\n   dependency graph associated\n\nCurrent Status\n^^^^^^^^^^^^^^\n\nEarly experimental version (simple sentences only) is at\n``morphological_analyzer/SanskritMorphologicalAnalyzer.py``\n\nSeq2Seq based Sanskrit Parser\n-----------------------------\n\nSee: Grammar as a Foreign Language : Vinyals & Kaiser et. al. Google\nhttp://arxiv.org/abs/1412.7449\n\n-  Method: Seq2Seq Neural Network (n? layers)\n-  Input Embedding with word2vec (optional)\n\nInput\n~~~~~\n\nSanskrit sentence ### Output Sentence split into padas with tags ###\nTrain/Test data DCS corpus, converted by Vishvas Vasuki\n\nCurrent Status\n^^^^^^^^^^^^^^\n\nNot begun\n\n.. |CI Build Status| image:: https://img.shields.io/travis/kmadathil/sanskrit_parser/master.svg\n   :target: https://travis-ci.org/kmadathil/sanskrit_parser\n\n\n",
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