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        "author": "Jianlin",
        "author_email": "jianlinshi.cn@gmail.com",
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            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: Apache Software License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Topic :: Software Development :: Libraries :: Python Modules",
            "Topic :: Text Processing :: Linguistic"
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        "description": "PyRuSH\n\nPyRuSH is the python implementation of RuSH, which is orginally developed using Java. RuSH is an efficient, reliable, and easy adaptable rule-based sentence segmentation solution. It is specifically designed to handle the telegraphic written text in clinical note. It leverages a nested hash table to execute simultaneous rule processing, which reduces the impact of the rule-base growth on execution time and eliminates the effect of rule order on accuracy.\n\nIf you wish to cite RuSH in a publication, please use:\n\nJianlin Shi ; Danielle Mowery ; Kristina M. Doing-Harris ; John F. Hurdle.RuSH: a Rule-based Segmentation Tool Using Hashing for Extremely Accurate Sentence Segmentation of Clinical Text. AMIA Annu Symp Proc. 2016: 1587.\n\nThe full text can be found at https://knowledge.amia.org/amia-63300-1.3360278/t005-1.3362920/f005-1.3362921/2495498-1.3363244/2495498-1.3363247?timeStamp=1479743941616\n\nInstallation:\n\npip install PyRuSH\n\nHow to use:\n\nA standalone RuSH class is available to be directly used in your code.\n\nfrom PyRuSH.RuSH import RuSH\ninput_str = \"The patient was admitted on 03/26/08\\n and was started on IV antibiotics elevation\" +\\\n             \", was also counseled to minimizing the cigarette smoking. The patient had edema\\n\\n\" +\\\n             \"\\n of his bilateral lower extremities. The hospital consult was also obtained to \" +\\\n             \"address edema issue question was related to his liver hepatitis C. Hospital consult\" +\\\n             \" was obtained. This included an ultrasound of his abdomen, which showed just mild \" +\\\n             \"cirrhosis. \"\nrush = RuSH('../conf/rush_rules.tsv')\nsentences=rush.segToSentenceSpans(input_str)\nfor sentence in sentences:\n    print('Sentence({0}-{1}):\\t>{2}<'.format(sentence.begin, sentence.end, input_str[sentence.begin:sentence.end]))\n\n\n",
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        "summary": "A fast implementation of RuSH (Rule-based sentence Segmenter using Hashing).",
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