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        "description": "# PyCor 0.0.7\n\n## Python Module for Korean Language Processing\n### NLCP : Natural Language Contextual Parsing\n* Corpus\uae30\ubc18 \uc0ac\uc804 \ud559\uc2b5, Dictionary \uc5c6\uc774 \ud55c\uad6d\uc5b4 \ud615\ud0dc\uc18c \ubd84\uc11d\uc774 \uac00\ub2a5\ud55c \uc790\uc5f0\uc5b4 \ud30c\uc11c\n* \ubb38\uc7a5\ub4e4\uc744 \ucc98\ub9ac\ud558\ub294 \uacfc\uc815\uc5d0\uc11c Dictionary\ub97c \uc2a4\uc2a4\ub85c \ub9cc\ub4dc\ub294 \ud615\ud0dc\uc18c\ubd84\uc11d\uae30 \n* \ud55c\uc815\ub41c \ubb38\ubc95\ud615\ud0dc\uc18c\uc758 \uacb0\ud569 \uaddc\uce59\uacfc \ubb38\uc11c \ud639\uc740 \ubb38\uc11c \uc9d1\ud569 \uc548\uc5d0\uc11c\uc758 \uccb4\uc5b8, \uc6a9\uc5b8\uc758 \ud65c\uc6a9\ud615\ud0dc \ubd84\uc11d\n* \ubb38\uc7a5 \ub2e8\uc704, Document\ub2e8\uc704, Document set\ub2e8\uc704\ub85c \ucee8\ud14d\uc2a4\ud2b8 \uc0dd\uc131, \uc790\uc5f0\uc5b4 \ud30c\uc2f1\n* \uc81c\uc57d \uc870\uac74 : \uae30\ubcf8\uc801\uc778 \ud55c\uad6d\uc5b4 \ub9de\ucda4\ubc95\uc744 \uc9c0\ud0a4\ub294 \uc815\uaddc\ud654\ub41c \ud55c\uae00 \ubb38\uc11c\uc5d0 \uc801\ud569(\uc704\ud0a4, \ub17c\ubb38, \ub274\uc2a4 \uae30\uc0ac \ub4f1)\n* \ubaa9\uc801 : \uccb4\uacc4\uc801\uc778 \uc9c0\uc2dd\uc744 \uae30\uc220\ud55c \ubb38\uc11c\uc758 \ud30c\uc2f1\uacfc \uc774\ud574\n\n\n### Install\n```\n> pip install pycor\n```\n\n### Usage\n```\n> python3\nimport pycor\n\npycor.train('training-text-dir')\npycor.savemodel('model-dir')\n\n# \uccb4\uc5b8 \ud639\uc740 \uc6a9\uc5b8\uc758 \uc5b4\uadfc\ub4e4\uc744 \ucd94\ucd9c\ud558\uc5ec 2\ucc28\uc6d0 \ubc30\uc5f4\ub85c \uc81c\uacf5\nword2dArray = pycor.trim(text) \npycor.trimfile('text-file-path') \n\n# \ud0a4\uc6cc\ub4dc \ucd94\ucd9c\nkeywordArray = pycor.abstract(text) \n\n```\n\n\n",
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