{
    "info": {
        "author": "lovit",
        "author_email": "soy.lovit@gmail.com",
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            "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
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        "description": "# \ud55c\uad6d\uc5b4 \uc6a9\uc5b8 \ubd84\uc11d\uae30 (Korean Lemmatizer)\n\n\ud55c\uad6d\uc5b4\uc758 \ub3d9\uc0ac\uc640 \ud615\uc6a9\uc0ac\uc758 \ud65c\uc6a9\ud615 (surfacial form) \uc744 \ubd84\uc11d\ud569\ub2c8\ub2e4. \ud55c\uad6d\uc5b4 \uc6a9\uc5b8 \ubd84\uc11d\uae30\ub294 \ub2e4\uc74c\uc758 \uae30\ub2a5\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4.\n\n1. \uc785\ub825\ub41c \ub2e8\uc5b4\ub97c \uc5b4\uac04 (stem) \uacfc \uc5b4\ubbf8 (eomi) \uc73c\ub85c \ubd84\ub9ac\n1. \uc785\ub825\ub41c \ub2e8\uc5b4\ub97c \uc6d0\ud615\uc73c\ub85c \ubcf5\uc6d0\n\n\uc774 \ud328\ud0a4\uc9c0\uc758 \uad6c\ud604 \uc6d0\ub9ac\ub294 [github.io \ube14\ub85c\uadf8][io]\uc5d0 \uc815\ub9ac\ud558\uc600\uc2b5\ub2c8\ub2e4.\n\n[io]: https://lovit.github.io/nlp/2019/01/22/trained_kor_lemmatizer/\n\n## Usage\n\n### analyze, lemmatize, conjugate\n\n`analyze` function returns morphemes of the given predicator word\n\n```python\nfrom soylemma import Lemmatizer\n\nlemmatizer = Lemmatizer()\nlemmatizer.analyze('\ucc28\uac00\uc6b0\ub2c8\uae4c')\n```\n\nThe return value forms list of tuples because there can be more than one morpheme combination.\n\n```\n[(('\ucc28\uac11', 'Adjective'), ('\uc6b0\ub2c8\uae4c', 'Eomi'))]\n```\n\n`lemmatize` function returns lemma of the given predicator word.\n\n```python\nlemmatizer.lemmatize('\ucc28\uac00\uc6b0\ub2c8\uae4c')\n```\n\n```\n[('\ucc28\uac11\ub2e4', 'Adjective')]\n```\n\nIf the input word is not predicator such as Noun, it return empty list.\n\n```python\nlemmatizer.lemmatize('\ud55c\uad6d\uc5b4') # []\n```\n\n`conjugate` function returns surfacial form. You should put stem and eomi as arguments. It returns all possible surfacial forms for the given stem and eomi.\n\n```python\nlemmatizer.conjugate(stem='\ucc28\uac11', eomi='\uc6b0\ub2c8\uae4c')\nlemmatizer.conjugate('\uc608\uc058', '\uc5c8\ub358')\n```\n\n```\n['\ucc28\uac00\uc6b0\ub2c8\uae4c', '\ucc28\uac11\uc6b0\ub2c8\uae4c']\n['\uc608\ubee4\ub358', '\uc608\uc058\uc5c8\ub358']\n```\n\n### update dictionaries and rules\n\nFor demonstration, we use dictioanry `demo`.\n\n`\uc5b4\uc5ec\ubee4\uc5b4` cannot be analyzed because the adjective `\uc5b4\uc5ec\uc058` does not enrolled in dictionary.\n\n```python\nfrom soylemma import Lemmatizer\n\nlemmatizer = Lemmatizer(dictionary_name='demo')\nprint(lemmatizer.analyze('\uc5b4\uc5ec\ubee4\uc5b4')) # []\n```\n\nSo, we add the word with tag using `add_words` function. Do it again. Then you can see the word `\uc5b4\uc5ec\ubee4\uc5b4` is analyzed.\n\n```python\nlemmatizer.add_words('\uc5b4\uc5ec\uc058', 'Adjective')\nlemmatizer.analyze('\uc5b4\uc5ec\ubee4\uc5b4')\n```\n\n```\n[(('\uc5b4\uc5ec\uc058', 'Adjective'), ('\uc5c8\uc5b4', 'Eomi'))]\n```\n\nHowever, the word `\ud30c\ub7ac\ub2e4` is still not able to be analyzed because the lemmatization rule for surfacial form `\ub7ac` does not exist.\n\n```python\nlemmatizer.analyze('\ud30c\ub7ac\ub2e4') # []\n```\n\nSo, in this time, we update additional lemmatization rules using `add_lemma_rules` function.\n\n```python\nsupplements = {\n    '\ub7ac': {('\ub797', '\uc558')}\n}\n\nlemmatizer.add_lemma_rules(supplements)\n```\n\nAfter that, we can see the word `\ud30c\ub7ac\ub2e4` is analyzed, and also conjugation of `\ud30c\ub797 + \uc558\ub2e4` is available.\n\n```python\nlemmatizer.analyze('\ud30c\ub7ac\ub2e4')\nlemmatizer.conjugate('\ud30c\ub797', '\uc558\ub2e4')\n```\n\n```\n[(('\ud30c\ub797', 'Adjective'), ('\uc558\ub2e4', 'Eomi'))]\n['\ud30c\ub7ac\ub2e4', '\ud30c\ub797\uc558\ub2e4']\n```\n\n### debug on\n\nIf you wonder which subwords came up as candidates of (stem, eomi), use `debug`.\n\n```python\nlemmatizer.analyze('\ud30c\ub7ac\ub2e4', debug=True)\n```\n\n```\n[DEBUG] word: \ud30c\ub7ac\ub2e4 = \ud30c\ub797 + \uc558\ub2e4, conjugation: \ub7ac = \ub797 + \uc558\n[(('\ud30c\ub797', 'Adjective'), ('\uc558\ub2e4', 'Eomi'))]\n```\n\n### lemmatization rule extractor\n\nYou can extract lemmatization rule using `extract_rule` function.\n\n```python\nfrom soylemma import extract_rule\n\neojeol = '\ub85c\ub4dc\ubb34\ube44\uc600\ub2e4'\nlw = '\ub85c\ub4dc\ubb34\ube44\uc774'\nlt = 'Adjective'\nrw = '\uc5c8\ub2e4'\nrt = 'Eomi'\n\nextract_rule(eojeol, lw, lt, rw, rt)\n```\n\n```\n('\uc600\ub2e4', ('\uc774', '\uc5c8\ub2e4'))\n```\n\n\n",
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