|
--- |
|
language: |
|
- "lzh" |
|
tags: |
|
- "classical chinese" |
|
- "literary chinese" |
|
- "ancient chinese" |
|
- "token-classification" |
|
- "pos" |
|
license: "mit" |
|
pipeline_tag: "token-classification" |
|
widget: |
|
- text: "不入虎穴不得虎子" |
|
--- |
|
|
|
[](https://pypi.org/project/suparkanbun/) |
|
|
|
# SuPar-Kanbun |
|
|
|
Tokenizer, POS-Tagger and Dependency-Parser for Classical Chinese Texts (漢文/文言文) with [spaCy](https://spacy.io), [Transformers](https://huggingface.co/transformers/) and [SuPar](https://github.com/yzhangcs/parser). |
|
|
|
## Basic usage |
|
|
|
```py |
|
>>> import suparkanbun |
|
>>> nlp=suparkanbun.load() |
|
>>> doc=nlp("不入虎穴不得虎子") |
|
>>> print(type(doc)) |
|
<class 'spacy.tokens.doc.Doc'> |
|
>>> print(suparkanbun.to_conllu(doc)) |
|
# text = 不入虎穴不得虎子 |
|
1 不 不 ADV v,副詞,否定,無界 Polarity=Neg 2 advmod _ Gloss=not|SpaceAfter=No |
|
2 入 入 VERB v,動詞,行為,移動 _ 0 root _ Gloss=enter|SpaceAfter=No |
|
3 虎 虎 NOUN n,名詞,主体,動物 _ 4 nmod _ Gloss=tiger|SpaceAfter=No |
|
4 穴 穴 NOUN n,名詞,固定物,地形 Case=Loc 2 obj _ Gloss=cave|SpaceAfter=No |
|
5 不 不 ADV v,副詞,否定,無界 Polarity=Neg 6 advmod _ Gloss=not|SpaceAfter=No |
|
6 得 得 VERB v,動詞,行為,得失 _ 2 parataxis _ Gloss=get|SpaceAfter=No |
|
7 虎 虎 NOUN n,名詞,主体,動物 _ 8 nmod _ Gloss=tiger|SpaceAfter=No |
|
8 子 子 NOUN n,名詞,人,関係 _ 6 obj _ Gloss=child|SpaceAfter=No |
|
|
|
>>> import deplacy |
|
>>> deplacy.render(doc) |
|
不 ADV <════╗ advmod |
|
入 VERB ═══╗═╝═╗ ROOT |
|
虎 NOUN <╗ ║ ║ nmod |
|
穴 NOUN ═╝<╝ ║ obj |
|
不 ADV <════╗ ║ advmod |
|
得 VERB ═══╗═╝<╝ parataxis |
|
虎 NOUN <╗ ║ nmod |
|
子 NOUN ═╝<╝ obj |
|
``` |
|
|
|
`suparkanbun.load()` has two options `suparkanbun.load(BERT="roberta-classical-chinese-base-char",Danku=False)`. With the option `Danku=True` the pipeline tries to segment sentences automatically. Available `BERT` options are: |
|
|
|
* `BERT="roberta-classical-chinese-base-char"` utilizes [roberta-classical-chinese-base-char](https://huggingface.co/KoichiYasuoka/roberta-classical-chinese-base-char) (default) |
|
* `BERT="roberta-classical-chinese-large-char"` utilizes [roberta-classical-chinese-large-char](https://huggingface.co/KoichiYasuoka/roberta-classical-chinese-large-char) |
|
* `BERT="guwenbert-base"` utilizes [GuwenBERT-base](https://huggingface.co/ethanyt/guwenbert-base) |
|
* `BERT="guwenbert-large"` utilizes [GuwenBERT-large](https://huggingface.co/ethanyt/guwenbert-large) |
|
* `BERT="sikubert"` utilizes [SikuBERT](https://huggingface.co/SIKU-BERT/sikubert) |
|
* `BERT="sikuroberta"` utilizes [SikuRoBERTa](https://huggingface.co/SIKU-BERT/sikuroberta) |
|
|
|
## Installation for Linux |
|
|
|
```sh |
|
pip3 install suparkanbun --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` packages, and then: |
|
```sh |
|
curl -L https://raw.githubusercontent.com/KoichiYasuoka/CygTorch/master/installer/supar.sh | sh |
|
pip3.7 install suparkanbun --no-build-isolation |
|
``` |
|
|
|
## Installation for Jupyter Notebook (Google Colaboratory) |
|
|
|
```py |
|
!pip install suparkanbun |
|
``` |
|
|
|
Try [notebook](https://colab.research.google.com/github/KoichiYasuoka/SuPar-Kanbun/blob/main/suparkanbun.ipynb) for Google Colaboratory. |
|
|
|
## Author |
|
|
|
Koichi Yasuoka (安岡孝一) |
|
|
|
|
