[](https://pypi.org/project/esupar/)
# esupar
Tokenizer, POS-tagger, and dependency-parser with [Transformers](https://huggingface.co/transformers/) and [SuPar](https://pypi.org/project/supar/).
## Basic usage
```py
>>> import esupar
>>> nlp=esupar.load("ja")
>>> doc=nlp("太郎は花子が読んでいる本を次郎に渡した")
>>> print(doc)
1 太郎 _ PROPN _ _ 12 nsubj _ SpaceAfter=No
2 は _ ADP _ _ 1 case _ SpaceAfter=No
3 花子 _ PROPN _ _ 5 nsubj _ SpaceAfter=No
4 が _ ADP _ _ 3 case _ SpaceAfter=No
5 読ん _ VERB _ _ 8 acl _ SpaceAfter=No
6 で _ SCONJ _ _ 5 mark _ SpaceAfter=No
7 いる _ AUX _ _ 5 aux _ SpaceAfter=No
8 本 _ NOUN _ _ 12 obj _ SpaceAfter=No
9 を _ ADP _ _ 8 case _ SpaceAfter=No
10 次郎 _ PROPN _ _ 12 obl _ SpaceAfter=No
11 に _ ADP _ _ 10 case _ SpaceAfter=No
12 渡し _ VERB _ _ 0 root _ SpaceAfter=No
13 た _ AUX _ _ 12 aux _ _
>>> import deplacy
>>> deplacy.render(doc,Japanese=True)
太郎 PROPN ═╗<════════╗ nsubj(主語)
は ADP <╝ ║ case(格表示)
花子 PROPN ═╗<══╗ ║ nsubj(主語)
が ADP <╝ ║ ║ case(格表示)
読ん VERB ═╗═╗═╝<╗ ║ acl(連体修飾節)
で SCONJ <╝ ║ ║ ║ mark(標識)
いる AUX <══╝ ║ ║ aux(動詞補助成分)
本 NOUN ═╗═════╝<╗ ║ obj(目的語)
を ADP <╝ ║ ║ case(格表示)
次郎 PROPN ═╗<╗ ║ ║ obl(斜格補語)
に ADP <╝ ║ ║ ║ case(格表示)
渡し VERB ═╗═╝═════╝═╝ root(親)
た AUX <╝ aux(動詞補助成分)
```
`esupar.load(model)` loads a natural language processor pipeline, working on [Universal Dependencies](https://universaldependencies.org/format.html). Available `model` options are:
* `model="ja"` Japanese model [bert-base-japanese-upos](https://huggingface.co/KoichiYasuoka/bert-base-japanese-upos) (default)
* `model="ja_large"` Japanese model [bert-large-japanese-upos](https://huggingface.co/KoichiYasuoka/bert-large-japanese-upos)
* `model="ja_luw_small"` Japanese long-unit-word model [roberta-small-japanese-char-luw-upos](https://huggingface.co/KoichiYasuoka/roberta-small-japanese-char-luw-upos)
* `model="ja_luw_base"` Japanese long-unit-word model [bert-base-japanese-luw-upos](https://huggingface.co/KoichiYasuoka/bert-base-japanese-luw-upos)
* `model="ja_luw_large"` Japanese long-unit-word model [bert-large-japanese-luw-upos](https://huggingface.co/KoichiYasuoka/bert-large-japanese-luw-upos)
* `model="ko"` Korean model [roberta-base-korean-upos](https://huggingface.co/KoichiYasuoka/roberta-base-korean-upos)
* `model="ko_large"` Korean model [roberta-large-korean-upos](https://huggingface.co/KoichiYasuoka/roberta-large-korean-upos)
* `model="ko_morph_base"` Korean morpheme model [roberta-base-korean-morph-upos](https://huggingface.co/KoichiYasuoka/roberta-base-korean-morph-upos)
* `model="ko_morph_large"` Korean morpheme model [roberta-large-korean-morph-upos](https://huggingface.co/KoichiYasuoka/roberta-large-korean-morph-upos)
* `model="zh"` Chinese model [chinese-bert-wwm-ext-upos](https://huggingface.co/KoichiYasuoka/chinese-bert-wwm-ext-upos)
* `model="zh_base"` Chinese model [chinese-roberta-base-upos](https://huggingface.co/KoichiYasuoka/chinese-roberta-base-upos)
* `model="zh_large"` Chinese model [chinese-roberta-large-upos](https://huggingface.co/KoichiYasuoka/chinese-roberta-large-upos)
* `model="lzh"` Classical Chinese model [roberta-classical-chinese-base-upos](https://huggingface.co/KoichiYasuoka/roberta-classical-chinese-base-upos)
* `model="lzh_large"` Classical Chinese model [roberta-classical-chinese-large-upos](https://huggingface.co/KoichiYasuoka/roberta-classical-chinese-large-upos)
* `model="th"` Thai model [roberta-base-thai-spm-upos](https://huggingface.co/KoichiYasuoka/roberta-base-thai-spm-upos)
* `model="vi"` Vietnamese model [bert-base-vietnamese-upos](https://huggingface.co/KoichiYasuoka/bert-base-vietnamese-upos)
* `model="en"` English model [roberta-base-english-upos](https://huggingface.co/KoichiYasuoka/roberta-base-english-upos)
* `model="en_large"` English model [roberta-large-english-upos](https://huggingface.co/KoichiYasuoka/roberta-large-english-upos)
* `model="de"` German model [bert-base-german-upos](https://huggingface.co/KoichiYasuoka/bert-base-german-upos)
* `model="de_large"` German model [bert-large-german-upos](https://huggingface.co/KoichiYasuoka/bert-large-german-upos)
* `model="sr"` Serbian (Cyrillic and Latin) model [gpt2-small-serbian-upos](https://huggingface.co/KoichiYasuoka/gpt2-small-serbian-upos)
* `model="sr_large"` Serbian (Cyrillic and Latin) model [gpt2-large-serbian-upos](https://huggingface.co/KoichiYasuoka/gpt2-large-serbian-upos)
* `model="cop"` Coptic model [roberta-base-coptic-upos](https://huggingface.co/KoichiYasuoka/roberta-base-coptic-upos)
* `model="ain"` Ainu model [roberta-base-ainu-upos](https://huggingface.co/KoichiYasuoka/roberta-base-ainu-upos)
## Installation for Linux
```sh
pip3 install esupar --user
```
## Installation for Cygwin64
Make sure to get `python37-devel` `python37-pip` `python37-cython` `python37-numpy` `python37-wheel` `gcc-g++` `mingw64-x86_64-gcc-g++` `git` `curl` `make` `cmake`, and then:
```sh
curl -L https://raw.githubusercontent.com/KoichiYasuoka/CygTorch/master/installer/supar.sh | sh
pip3.7 install esupar
```
## Installation for Google Colaboratory
```py
!pip install esupar
```
Try [notebook](https://colab.research.google.com/github/KoichiYasuoka/esupar/blob/master/esupar.ipynb).
## Author
Koichi Yasuoka (安岡孝一)
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"description": "[](https://pypi.org/project/esupar/)\n\n# esupar\n\nTokenizer, POS-tagger, and dependency-parser with [Transformers](https://huggingface.co/transformers/) and [SuPar](https://pypi.org/project/supar/).\n\n## Basic usage\n\n```py\n>>> import esupar\n>>> nlp=esupar.load(\"ja\")\n>>> doc=nlp(\"\u592a\u90ce\u306f\u82b1\u5b50\u304c\u8aad\u3093\u3067\u3044\u308b\u672c\u3092\u6b21\u90ce\u306b\u6e21\u3057\u305f\")\n>>> print(doc)\n1\t\u592a\u90ce\t_\tPROPN\t_\t_\t12\tnsubj\t_\tSpaceAfter=No\n2\t\u306f\t_\tADP\t_\t_\t1\tcase\t_\tSpaceAfter=No\n3\t\u82b1\u5b50\t_\tPROPN\t_\t_\t5\tnsubj\t_\tSpaceAfter=No\n4\t\u304c\t_\tADP\t_\t_\t3\tcase\t_\tSpaceAfter=No\n5\t\u8aad\u3093\t_\tVERB\t_\t_\t8\tacl\t_\tSpaceAfter=No\n6\t\u3067\t_\tSCONJ\t_\t_\t5\tmark\t_\tSpaceAfter=No\n7\t\u3044\u308b\t_\tAUX\t_\t_\t5\taux\t_\tSpaceAfter=No\n8\t\u672c\t_\tNOUN\t_\t_\t12\tobj\t_\tSpaceAfter=No\n9\t\u3092\t_\tADP\t_\t_\t8\tcase\t_\tSpaceAfter=No\n10\t\u6b21\u90ce\t_\tPROPN\t_\t_\t12\tobl\t_\tSpaceAfter=No\n11\t\u306b\t_\tADP\t_\t_\t10\tcase\t_\tSpaceAfter=No\n12\t\u6e21\u3057\t_\tVERB\t_\t_\t0\troot\t_\tSpaceAfter=No\n13\t\u305f\t_\tAUX\t_\t_\t12\taux\t_\t_\n\n>>> import deplacy\n>>> deplacy.render(doc,Japanese=True)\n\u592a\u90ce PROPN \u2550\u2557<\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2557 nsubj(\u4e3b\u8a9e)\n\u306f ADP <\u255d \u2551 case(\u683c\u8868\u793a)\n\u82b1\u5b50 PROPN \u2550\u2557<\u2550\u2550\u2557 \u2551 nsubj(\u4e3b\u8a9e)\n\u304c ADP <\u255d \u2551 \u2551 case(\u683c\u8868\u793a)\n\u8aad\u3093 VERB \u2550\u2557\u2550\u2557\u2550\u255d<\u2557 \u2551 acl(\u9023\u4f53\u4fee\u98fe\u7bc0)\n\u3067 SCONJ <\u255d \u2551 \u2551 \u2551 mark(\u6a19\u8b58)\n\u3044\u308b AUX <\u2550\u2550\u255d \u2551 \u2551 aux(\u52d5\u8a5e\u88dc\u52a9\u6210\u5206)\n\u672c NOUN \u2550\u2557\u2550\u2550\u2550\u2550\u2550\u255d<\u2557 \u2551 obj(\u76ee\u7684\u8a9e)\n\u3092 ADP <\u255d \u2551 \u2551 case(\u683c\u8868\u793a)\n\u6b21\u90ce PROPN \u2550\u2557<\u2557 \u2551 \u2551 obl(\u659c\u683c\u88dc\u8a9e)\n\u306b ADP <\u255d \u2551 \u2551 \u2551 case(\u683c\u8868\u793a)\n\u6e21\u3057 VERB \u2550\u2557\u2550\u255d\u2550\u2550\u2550\u2550\u2550\u255d\u2550\u255d root(\u89aa)\n\u305f AUX <\u255d aux(\u52d5\u8a5e\u88dc\u52a9\u6210\u5206)\n```\n\n`esupar.load(model)` loads a natural language processor pipeline, working on [Universal Dependencies](https://universaldependencies.org/format.html). Available `model` options are:\n\n* `model=\"ja\"` Japanese model [bert-base-japanese-upos](https://huggingface.co/KoichiYasuoka/bert-base-japanese-upos) (default)\n* `model=\"ja_large\"` Japanese model [bert-large-japanese-upos](https://huggingface.co/KoichiYasuoka/bert-large-japanese-upos)\n* `model=\"ja_luw_small\"` Japanese long-unit-word model [roberta-small-japanese-char-luw-upos](https://huggingface.co/KoichiYasuoka/roberta-small-japanese-char-luw-upos)\n* `model=\"ja_luw_base\"` Japanese long-unit-word model [bert-base-japanese-luw-upos](https://huggingface.co/KoichiYasuoka/bert-base-japanese-luw-upos)\n* `model=\"ja_luw_large\"` Japanese long-unit-word model [bert-large-japanese-luw-upos](https://huggingface.co/KoichiYasuoka/bert-large-japanese-luw-upos)\n* `model=\"ko\"` Korean model [roberta-base-korean-upos](https://huggingface.co/KoichiYasuoka/roberta-base-korean-upos)\n* `model=\"ko_large\"` Korean model [roberta-large-korean-upos](https://huggingface.co/KoichiYasuoka/roberta-large-korean-upos)\n* `model=\"ko_morph_base\"` Korean morpheme model [roberta-base-korean-morph-upos](https://huggingface.co/KoichiYasuoka/roberta-base-korean-morph-upos)\n* `model=\"ko_morph_large\"` Korean morpheme model [roberta-large-korean-morph-upos](https://huggingface.co/KoichiYasuoka/roberta-large-korean-morph-upos)\n* `model=\"zh\"` Chinese model [chinese-bert-wwm-ext-upos](https://huggingface.co/KoichiYasuoka/chinese-bert-wwm-ext-upos)\n* `model=\"zh_base\"` Chinese model [chinese-roberta-base-upos](https://huggingface.co/KoichiYasuoka/chinese-roberta-base-upos)\n* `model=\"zh_large\"` Chinese model [chinese-roberta-large-upos](https://huggingface.co/KoichiYasuoka/chinese-roberta-large-upos)\n* `model=\"lzh\"` Classical Chinese model [roberta-classical-chinese-base-upos](https://huggingface.co/KoichiYasuoka/roberta-classical-chinese-base-upos)\n* `model=\"lzh_large\"` Classical Chinese model [roberta-classical-chinese-large-upos](https://huggingface.co/KoichiYasuoka/roberta-classical-chinese-large-upos)\n* `model=\"th\"` Thai model [roberta-base-thai-spm-upos](https://huggingface.co/KoichiYasuoka/roberta-base-thai-spm-upos)\n* `model=\"vi\"` Vietnamese model [bert-base-vietnamese-upos](https://huggingface.co/KoichiYasuoka/bert-base-vietnamese-upos)\n* `model=\"en\"` English model [roberta-base-english-upos](https://huggingface.co/KoichiYasuoka/roberta-base-english-upos)\n* `model=\"en_large\"` English model [roberta-large-english-upos](https://huggingface.co/KoichiYasuoka/roberta-large-english-upos)\n* `model=\"de\"` German model [bert-base-german-upos](https://huggingface.co/KoichiYasuoka/bert-base-german-upos)\n* `model=\"de_large\"` German model [bert-large-german-upos](https://huggingface.co/KoichiYasuoka/bert-large-german-upos)\n* `model=\"sr\"` Serbian (Cyrillic and Latin) model [gpt2-small-serbian-upos](https://huggingface.co/KoichiYasuoka/gpt2-small-serbian-upos)\n* `model=\"sr_large\"` Serbian (Cyrillic and Latin) model [gpt2-large-serbian-upos](https://huggingface.co/KoichiYasuoka/gpt2-large-serbian-upos)\n* `model=\"cop\"` Coptic model [roberta-base-coptic-upos](https://huggingface.co/KoichiYasuoka/roberta-base-coptic-upos)\n* `model=\"ain\"` Ainu model [roberta-base-ainu-upos](https://huggingface.co/KoichiYasuoka/roberta-base-ainu-upos)\n\n## Installation for Linux\n\n```sh\npip3 install esupar --user\n```\n\n## Installation for Cygwin64\n\nMake sure to get `python37-devel` `python37-pip` `python37-cython` `python37-numpy` `python37-wheel` `gcc-g++` `mingw64-x86_64-gcc-g++` `git` `curl` `make` `cmake`, and then:\n\n```sh\ncurl -L https://raw.githubusercontent.com/KoichiYasuoka/CygTorch/master/installer/supar.sh | sh\npip3.7 install esupar\n```\n\n## Installation for Google Colaboratory\n\n```py\n!pip install esupar\n```\n\nTry [notebook](https://colab.research.google.com/github/KoichiYasuoka/esupar/blob/master/esupar.ipynb).\n\n## Author\n\nKoichi Yasuoka (\u5b89\u5ca1\u5b5d\u4e00)\n\n",
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