{
    "info": {
        "author": "Koichi Yasuoka",
        "author_email": "yasuoka@kanji.zinbun.kyoto-u.ac.jp",
        "bugtrack_url": null,
        "classifiers": [
            "License :: OSI Approved :: MIT License",
            "Natural Language :: Japanese",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3",
            "Topic :: Text Processing :: Linguistic"
        ],
        "description": "[![Current PyPI packages](https://badge.fury.io/py/unidic2ud.svg)](https://pypi.org/project/unidic2ud/)\n\n# UniDic2UD\n\nTokenizer, POS-tagger, lemmatizer, and dependency-parser for modern and contemporary Japanese, working on [Universal Dependencies](https://universaldependencies.org/format.html).\n\n## Basic usage\n\n```py\n>>> import unidic2ud\n>>> qkana=unidic2ud.load(\"qkana\")\n>>> s=qkana(\"\u5176\u570b\u3092\u6cbb\u3081\u3093\u3068\u6b32\u3059\u308b\u8005\u306f\u5148\u3065\u5176\u5bb6\u3092\u9f4a\u3075\")\n>>> print(s)\n# text = \u5176\u570b\u3092\u6cbb\u3081\u3093\u3068\u6b32\u3059\u308b\u8005\u306f\u5148\u3065\u5176\u5bb6\u3092\u9f4a\u3075\n1\t\u5176\t\u5176\u306e\tDET\t\u9023\u4f53\u8a5e\t_\t2\tdet\t_\tSpaceAfter=No|Translit=\u30bd\u30ce\n2\t\u570b\t\u56fd\tNOUN\t\u540d\u8a5e-\u666e\u901a\u540d\u8a5e-\u4e00\u822c\t_\t4\tobj\t_\tSpaceAfter=No|Translit=\u30af\u30cb\n3\t\u3092\t\u3092\tADP\t\u52a9\u8a5e-\u683c\u52a9\u8a5e\t_\t2\tcase\t_\tSpaceAfter=No|Translit=\u30f2\n4\t\u6cbb\u3081\t\u53ce\u3081\u308b\tVERB\t\u52d5\u8a5e-\u4e00\u822c\t_\t7\tadvcl\t_\tSpaceAfter=No|Translit=\u30aa\u30b5\u30e1\n5\t\u3093\t\u3080\tAUX\t\u52a9\u52d5\u8a5e\t_\t4\taux\t_\tSpaceAfter=No|Translit=\u30f3\n6\t\u3068\t\u3068\tADP\t\u52a9\u8a5e-\u683c\u52a9\u8a5e\t_\t4\tcase\t_\tSpaceAfter=No|Translit=\u30c8\n7\t\u6b32\u3059\u308b\t\u6b32\u3059\u308b\tVERB\t\u52d5\u8a5e-\u4e00\u822c\t_\t8\tacl\t_\tSpaceAfter=No|Translit=\u30db\u30c3\u30b9\u30eb\n8\t\u8005\t\u8005\tNOUN\t\u540d\u8a5e-\u666e\u901a\u540d\u8a5e-\u4e00\u822c\t_\t14\tnsubj\t_\tSpaceAfter=No|Translit=\u30e2\u30ce\n9\t\u306f\t\u306f\tADP\t\u52a9\u8a5e-\u4fc2\u52a9\u8a5e\t_\t8\tcase\t_\tSpaceAfter=No|Translit=\u30cf\n10\t\u5148\u3065\t\u5148\u305a\tADV\t\u526f\u8a5e\t_\t14\tadvmod\t_\tSpaceAfter=No|Translit=\u30de\u30c5\n11\t\u5176\t\u5176\u306e\tDET\t\u9023\u4f53\u8a5e\t_\t12\tdet\t_\tSpaceAfter=No|Translit=\u30bd\u30ce\n12\t\u5bb6\t\u5bb6\tNOUN\t\u540d\u8a5e-\u666e\u901a\u540d\u8a5e-\u4e00\u822c\t_\t14\tobj\t_\tSpaceAfter=No|Translit=\u30a6\u30c1\n13\t\u3092\t\u3092\tADP\t\u52a9\u8a5e-\u683c\u52a9\u8a5e\t_\t12\tcase\t_\tSpaceAfter=No|Translit=\u30f2\n14\t\u9f4a\u3075\t\u6574\u3048\u308b\tVERB\t\u52d5\u8a5e-\u4e00\u822c\t_\t0\troot\t_\tSpaceAfter=No|Translit=\u30c8\u30c8\u30ce\u30d5\n\n>>> t=s[7]\n>>> print(t.id,t.form,t.lemma,t.upos,t.xpos,t.feats,t.head.id,t.deprel,t.deps,t.misc)\n7 \u6b32\u3059\u308b \u6b32\u3059\u308b VERB \u52d5\u8a5e-\u4e00\u822c _ 8 acl _ SpaceAfter=No|Translit=\u30db\u30c3\u30b9\u30eb\n\n>>> f=open(\"trial.svg\",\"w\")\n>>> f.write(s.to_svg())\n>>> f.close()\n```\n![trial.svg](https://raw.githubusercontent.com/KoichiYasuoka/UniDic2UD/master/trial.png)\n\n`unidic2ud.load(UniDic,UDPipe)` loads a natural language processor pipeline, which uses `UniDic` for tokenizer POS-tagger and lemmatizer, then uses `UDPipe` for dependency-parser. Available `UniDic` options are:\n\n* `UniDic=\"gendai\"`: Use [\u73fe\u4ee3\u66f8\u304d\u8a00\u8449UniDic](https://unidic.ninjal.ac.jp/download#unidic_bccwj).\n* `UniDic=\"spoken\"`: Use [\u73fe\u4ee3\u8a71\u3057\u8a00\u8449UniDic](https://unidic.ninjal.ac.jp/download#unidic_csj).\n* `UniDic=\"qkana\"`: Use [\u65e7\u4eee\u540d\u53e3\u8a9eUniDic](https://unidic.ninjal.ac.jp/download_all#unidic_qkana).\n* `UniDic=\"kindai\"`: Use [\u8fd1\u4ee3\u6587\u8a9eUniDic](https://unidic.ninjal.ac.jp/download_all#unidic_kindai).\n* `UniDic=\"kinsei\"`: Use [\u8fd1\u4ee3\u53e3\u8a9e\uff08\u6d12\u843d\u672c\uff09UniDic](https://unidic.ninjal.ac.jp/download_all#unidic_kinsei).\n* `UniDic=\"kyogen\"`: Use [\u4e2d\u4e16\u53e3\u8a9e\uff08\u72c2\u8a00\uff09UniDic](https://unidic.ninjal.ac.jp/download_all#unidic_kyogen).\n* `UniDic=\"wakan\"`: Use [\u4e2d\u4e16\u6587\u8a9e\uff08\u8aac\u8a71\u30fb\u968f\u7b46\uff09UniDic](https://unidic.ninjal.ac.jp/download_all#unidic_wakan).\n* `UniDic=\"wabun\"`: Use [\u4e2d\u53e4\u548c\u6587UniDic](https://unidic.ninjal.ac.jp/download_all#unidic_wabun).\n* `UniDic=\"manyo\"`: Use [\u4e0a\u4ee3\uff08\u4e07\u8449\u96c6\uff09UniDic](https://unidic.ninjal.ac.jp/download_all#unidic_manyo).\n* `UniDic=None`: Use `UDPipe` for tokenizer, POS-tagger, lemmatizer, and dependency-parser.\n\nThe default `UDPipe` is `UDPipe=\"japanese-gsd\"` from [Universal Dependecies 2.4 Models](http://hdl.handle.net/11234/1-2998). \n\n## Usage via spaCy\n\nIf you have already installed [spaCy](https://pypi.org/project/spacy/) 2.1.0 or later, you can use `UniDic` via spaCy Language pipeline.\n\n```py\n>>> import unidic2ud.spacy\n>>> qkana=unidic2ud.spacy.load(\"qkana\")\n>>> d=qkana(\"\u5176\u570b\u3092\u6cbb\u3081\u3093\u3068\u6b32\u3059\u308b\u8005\u306f\u5148\u3065\u5176\u5bb6\u3092\u9f4a\u3075\")\n>>> print(type(d))\n<class 'spacy.tokens.doc.Doc'>\n>>> print(unidic2ud.spacy.to_conllu(d))\n# text = \u5176\u570b\u3092\u6cbb\u3081\u3093\u3068\u6b32\u3059\u308b\u8005\u306f\u5148\u3065\u5176\u5bb6\u3092\u9f4a\u3075\n1\t\u5176\t\u5176\u306e\tDET\t\u9023\u4f53\u8a5e\t_\t2\tdet\t_\tSpaceAfter=No|Translit=\u30bd\u30ce\n2\t\u570b\t\u56fd\tNOUN\t\u540d\u8a5e-\u666e\u901a\u540d\u8a5e-\u4e00\u822c\t_\t4\tobj\t_\tSpaceAfter=No|Translit=\u30af\u30cb\n3\t\u3092\t\u3092\tADP\t\u52a9\u8a5e-\u683c\u52a9\u8a5e\t_\t2\tcase\t_\tSpaceAfter=No|Translit=\u30f2\n4\t\u6cbb\u3081\t\u53ce\u3081\u308b\tVERB\t\u52d5\u8a5e-\u4e00\u822c\t_\t7\tadvcl\t_\tSpaceAfter=No|Translit=\u30aa\u30b5\u30e1\n5\t\u3093\t\u3080\tAUX\t\u52a9\u52d5\u8a5e\t_\t4\taux\t_\tSpaceAfter=No|Translit=\u30f3\n6\t\u3068\t\u3068\tADP\t\u52a9\u8a5e-\u683c\u52a9\u8a5e\t_\t4\tcase\t_\tSpaceAfter=No|Translit=\u30c8\n7\t\u6b32\u3059\u308b\t\u6b32\u3059\u308b\tVERB\t\u52d5\u8a5e-\u4e00\u822c\t_\t8\tacl\t_\tSpaceAfter=No|Translit=\u30db\u30c3\u30b9\u30eb\n8\t\u8005\t\u8005\tNOUN\t\u540d\u8a5e-\u666e\u901a\u540d\u8a5e-\u4e00\u822c\t_\t14\tnsubj\t_\tSpaceAfter=No|Translit=\u30e2\u30ce\n9\t\u306f\t\u306f\tADP\t\u52a9\u8a5e-\u4fc2\u52a9\u8a5e\t_\t8\tcase\t_\tSpaceAfter=No|Translit=\u30cf\n10\t\u5148\u3065\t\u5148\u305a\tADV\t\u526f\u8a5e\t_\t14\tadvmod\t_\tSpaceAfter=No|Translit=\u30de\u30c5\n11\t\u5176\t\u5176\u306e\tDET\t\u9023\u4f53\u8a5e\t_\t12\tdet\t_\tSpaceAfter=No|Translit=\u30bd\u30ce\n12\t\u5bb6\t\u5bb6\tNOUN\t\u540d\u8a5e-\u666e\u901a\u540d\u8a5e-\u4e00\u822c\t_\t14\tobj\t_\tSpaceAfter=No|Translit=\u30a6\u30c1\n13\t\u3092\t\u3092\tADP\t\u52a9\u8a5e-\u683c\u52a9\u8a5e\t_\t12\tcase\t_\tSpaceAfter=No|Translit=\u30f2\n14\t\u9f4a\u3075\t\u6574\u3048\u308b\tVERB\t\u52d5\u8a5e-\u4e00\u822c\t_\t0\troot\t_\tSpaceAfter=No|Translit=\u30c8\u30c8\u30ce\u30d5\n\n>>> t=d[6]\n>>> print(t.i+1,t.orth_,t.lemma_,t.pos_,t.tag_,t.head.i+1,t.dep_,t.whitespace_,t.norm_)\n7 \u6b32\u3059\u308b \u6b32\u3059\u308b VERB \u52d5\u8a5e-\u4e00\u822c 8 acl  \u30db\u30c3\u30b9\u30eb\n```\n\n## Installation for Linux\n\nBinary wheel is available for Linux, and is installed by default when you use `pip`:\n\n```sh\npip install unidic2ud\n```\n\nBy default installation, `UniDic` and `UDPipe` are invoked through Web APIs. If you want to invoke them locally and faster, you can download `UniDic` and `UDPipe` which you use just as follows:\n\n```sh\npython -m unidic2ud download.unidic qkana\npython -m unidic2ud download.udpipe japanese-gsd\npython -m unidic2ud dictlist\n```\n\nLicenses of dictionaries and models are: GPL/LGPL/BSD for `gendai` and `spoken`; CC BY-SA 4.0 for `japanese-gsd`; CC BY-NC-SA 4.0 for others.\n\n## Installation for Cygwin64\n\nFor installing in [Cygwin64](https://www.cygwin.com/install.html), make sure to get `gcc-g++` `git` `python37-pip` `python37-devel` `swig` packages, and then:\n\n```sh\npip3.7 install git+https://github.com/KoichiYasuoka/mecab-cygwin64\npip3.7 install unidic2ud\n```\n\nUse `python3.7` command in Cygwin64 instead of `python` (even for downloading dictionaries). For installing in old Cygwin (32-bit), try to use [mecab-cygwin32](https://github.com/KoichiYasuoka/mecab-cygwin32) instead of [mecab-cygwin64](https://github.com/KoichiYasuoka/mecab-cygwin64).\n\n## Author\n\nKoichi Yasuoka (\u5b89\u5ca1\u5b5d\u4e00)\n\n\n\n",
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