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|
%global _empty_manifest_terminate_build 0
Name: python-udkundoku
Version: 2.2.7
Release: 1
Summary: Classical Chinese to Modern Japanese Translator
License: MIT
URL: https://github.com/KoichiYasuoka/UD-Kundoku
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/5e/66/3278ca52a669eebb26add6a8f21320c2545d86f08353ffcbcba23e166bd9/udkundoku-2.2.7.tar.gz
BuildArch: noarch
%description
[](https://pypi.org/project/udkundoku/)
# UD-Kundoku
Classical Chinese to Modern Japanese Translator, working on [Universal Dependencies](https://universaldependencies.org/format.html).
## Basic usage
```py
>>> import udkundoku
>>> lzh=udkundoku.load()
>>> s=lzh("不入虎穴不得虎子")
>>> t=udkundoku.translate(s)
>>> print(t)
# text = 虎の穴に入らずして虎の子を得ず
1 虎 虎 NOUN n,名詞,主体,動物 _ 3 nmod _ Gloss=tiger|SpaceAfter=No
2 の _ ADP _ _ 1 case _ SpaceAfter=No
3 穴 穴 NOUN n,名詞,固定物,地形 Case=Loc 5 obj _ Gloss=cave|SpaceAfter=No
4 に _ ADP _ _ 3 case _ SpaceAfter=No
5 入ら 入 VERB v,動詞,行為,移動 _ 0 root _ Gloss=enter|SpaceAfter=No
6 ずして 不 AUX v,副詞,否定,無界 Polarity=Neg 5 advmod _ Gloss=not|SpaceAfter=No
7 虎 虎 NOUN n,名詞,主体,動物 _ 9 nmod _ Gloss=tiger|SpaceAfter=No
8 の _ ADP _ _ 7 case _ SpaceAfter=No
9 子 子 NOUN n,名詞,人,関係 _ 11 obj _ Gloss=child|SpaceAfter=No
10 を _ ADP _ _ 9 case _ SpaceAfter=No
11 得 得 VERB v,動詞,行為,得失 _ 5 parataxis _ Gloss=get|SpaceAfter=No
12 ず 不 AUX v,副詞,否定,無界 Polarity=Neg 11 advmod _ Gloss=not|SpaceAfter=No
>>> print(t.sentence())
虎の穴に入らずして虎の子を得ず
>>> print(s.to_tree())
不 <════╗ advmod
入 ═══╗═╝═╗ root
虎 <╗ ║ ║ nmod
穴 ═╝<╝ ║ obj
不 <════╗ ║ advmod
得 ═══╗═╝<╝ parataxis
虎 <╗ ║ nmod
子 ═╝<╝ obj
>>> print(t.to_tree())
虎 ═╗<╗ nmod(体言による連体修飾語)
の <╝ ║ case(格表示)
穴 ═╗═╝<╗ obj(目的語)
に <╝ ║ case(格表示)
入 ═╗═══╝═╗ root(親)
ら ║ ║
ず <╝ ║ advmod(連用修飾語)
し ║
て ║
虎 ═╗<╗ ║ nmod(体言による連体修飾語)
の <╝ ║ ║ case(格表示)
子 ═╗═╝<╗ ║ obj(目的語)
を <╝ ║ ║ case(格表示)
得 ═╗═══╝<╝ parataxis(隣接表現)
ず <╝ advmod(連用修飾語)
```
`udkundoku.load()` is an alias for `udkanbun.load()` of [UD-Kanbun](https://github.com/KoichiYasuoka/UD-Kanbun/). `udkundoku.translate()` is a transcriptive converter from Classical Chinese (under Universal Dependencies of UD-Kanbun) into Modern Japanese (under Universal Dependencies of [UniDic2UD](https://github.com/KoichiYasuoka/UniDic2UD/)). `udkundoku.reorder()` is called to rearrange Classical Chinese into Japanese word-order inside `udkundoku.translate()`. `to_tree()` and `to_svg()` are borrowed from those of UD-Kanbun.
You can simply use `udkundoku` on the command line:
```sh
echo 不入虎穴不得虎子 | udkundoku -j
```
## HTTP-server usage
```sh
python -m udkundoku.server 5000
```
Try to connect `http://127.0.0.1:5000` with your local browser. Input a Classical Chinese sentence there and push 解析-button (at least) three times.
## Installation for Linux
Tar-ball is available for Linux, and is installed by default when you use `pip`:
```sh
pip install udkundoku
```
[旧仮名口語UniDic](https://clrd.ninjal.ac.jp/unidic/download_all.html#unidic_qkana) is automatically downloaded for UniDic2UD.
## Installation for Cygwin
Make sure to get `gcc-g++` `python37-pip` `python37-devel` packages, and then:
```sh
pip3.7 install udkundoku
```
Use `python3.7` command in [Cygwin](https://www.cygwin.com/install.html) instead of `python`.
## Installation for Jupyter Notebook (Google Colaboratory)
```py
!pip install udkundoku
```
Try [notebook](https://colab.research.google.com/github/KoichiYasuoka/UD-Kundoku/blob/master/udkundoku.ipynb) for Google Colaboratory.
## Author
Koichi Yasuoka (安岡孝一)
## References
* 安岡孝一: [漢文の依存文法解析にもとづく自動訓読システム](http://hdl.handle.net/2433/259315), 日本漢字学会第3回研究大会予稿集(2020年11月), pp.60-73.
* 安岡孝一: [漢文の依存文法解析と返り点の関係について](http://hdl.handle.net/2433/235609), 日本漢字学会第1回研究大会予稿集(2018年12月), pp.33-48.
%package -n python3-udkundoku
Summary: Classical Chinese to Modern Japanese Translator
Provides: python-udkundoku
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-udkundoku
[](https://pypi.org/project/udkundoku/)
# UD-Kundoku
Classical Chinese to Modern Japanese Translator, working on [Universal Dependencies](https://universaldependencies.org/format.html).
## Basic usage
```py
>>> import udkundoku
>>> lzh=udkundoku.load()
>>> s=lzh("不入虎穴不得虎子")
>>> t=udkundoku.translate(s)
>>> print(t)
# text = 虎の穴に入らずして虎の子を得ず
1 虎 虎 NOUN n,名詞,主体,動物 _ 3 nmod _ Gloss=tiger|SpaceAfter=No
2 の _ ADP _ _ 1 case _ SpaceAfter=No
3 穴 穴 NOUN n,名詞,固定物,地形 Case=Loc 5 obj _ Gloss=cave|SpaceAfter=No
4 に _ ADP _ _ 3 case _ SpaceAfter=No
5 入ら 入 VERB v,動詞,行為,移動 _ 0 root _ Gloss=enter|SpaceAfter=No
6 ずして 不 AUX v,副詞,否定,無界 Polarity=Neg 5 advmod _ Gloss=not|SpaceAfter=No
7 虎 虎 NOUN n,名詞,主体,動物 _ 9 nmod _ Gloss=tiger|SpaceAfter=No
8 の _ ADP _ _ 7 case _ SpaceAfter=No
9 子 子 NOUN n,名詞,人,関係 _ 11 obj _ Gloss=child|SpaceAfter=No
10 を _ ADP _ _ 9 case _ SpaceAfter=No
11 得 得 VERB v,動詞,行為,得失 _ 5 parataxis _ Gloss=get|SpaceAfter=No
12 ず 不 AUX v,副詞,否定,無界 Polarity=Neg 11 advmod _ Gloss=not|SpaceAfter=No
>>> print(t.sentence())
虎の穴に入らずして虎の子を得ず
>>> print(s.to_tree())
不 <════╗ advmod
入 ═══╗═╝═╗ root
虎 <╗ ║ ║ nmod
穴 ═╝<╝ ║ obj
不 <════╗ ║ advmod
得 ═══╗═╝<╝ parataxis
虎 <╗ ║ nmod
子 ═╝<╝ obj
>>> print(t.to_tree())
虎 ═╗<╗ nmod(体言による連体修飾語)
の <╝ ║ case(格表示)
穴 ═╗═╝<╗ obj(目的語)
に <╝ ║ case(格表示)
入 ═╗═══╝═╗ root(親)
ら ║ ║
ず <╝ ║ advmod(連用修飾語)
し ║
て ║
虎 ═╗<╗ ║ nmod(体言による連体修飾語)
の <╝ ║ ║ case(格表示)
子 ═╗═╝<╗ ║ obj(目的語)
を <╝ ║ ║ case(格表示)
得 ═╗═══╝<╝ parataxis(隣接表現)
ず <╝ advmod(連用修飾語)
```
`udkundoku.load()` is an alias for `udkanbun.load()` of [UD-Kanbun](https://github.com/KoichiYasuoka/UD-Kanbun/). `udkundoku.translate()` is a transcriptive converter from Classical Chinese (under Universal Dependencies of UD-Kanbun) into Modern Japanese (under Universal Dependencies of [UniDic2UD](https://github.com/KoichiYasuoka/UniDic2UD/)). `udkundoku.reorder()` is called to rearrange Classical Chinese into Japanese word-order inside `udkundoku.translate()`. `to_tree()` and `to_svg()` are borrowed from those of UD-Kanbun.
You can simply use `udkundoku` on the command line:
```sh
echo 不入虎穴不得虎子 | udkundoku -j
```
## HTTP-server usage
```sh
python -m udkundoku.server 5000
```
Try to connect `http://127.0.0.1:5000` with your local browser. Input a Classical Chinese sentence there and push 解析-button (at least) three times.
## Installation for Linux
Tar-ball is available for Linux, and is installed by default when you use `pip`:
```sh
pip install udkundoku
```
[旧仮名口語UniDic](https://clrd.ninjal.ac.jp/unidic/download_all.html#unidic_qkana) is automatically downloaded for UniDic2UD.
## Installation for Cygwin
Make sure to get `gcc-g++` `python37-pip` `python37-devel` packages, and then:
```sh
pip3.7 install udkundoku
```
Use `python3.7` command in [Cygwin](https://www.cygwin.com/install.html) instead of `python`.
## Installation for Jupyter Notebook (Google Colaboratory)
```py
!pip install udkundoku
```
Try [notebook](https://colab.research.google.com/github/KoichiYasuoka/UD-Kundoku/blob/master/udkundoku.ipynb) for Google Colaboratory.
## Author
Koichi Yasuoka (安岡孝一)
## References
* 安岡孝一: [漢文の依存文法解析にもとづく自動訓読システム](http://hdl.handle.net/2433/259315), 日本漢字学会第3回研究大会予稿集(2020年11月), pp.60-73.
* 安岡孝一: [漢文の依存文法解析と返り点の関係について](http://hdl.handle.net/2433/235609), 日本漢字学会第1回研究大会予稿集(2018年12月), pp.33-48.
%package help
Summary: Development documents and examples for udkundoku
Provides: python3-udkundoku-doc
%description help
[](https://pypi.org/project/udkundoku/)
# UD-Kundoku
Classical Chinese to Modern Japanese Translator, working on [Universal Dependencies](https://universaldependencies.org/format.html).
## Basic usage
```py
>>> import udkundoku
>>> lzh=udkundoku.load()
>>> s=lzh("不入虎穴不得虎子")
>>> t=udkundoku.translate(s)
>>> print(t)
# text = 虎の穴に入らずして虎の子を得ず
1 虎 虎 NOUN n,名詞,主体,動物 _ 3 nmod _ Gloss=tiger|SpaceAfter=No
2 の _ ADP _ _ 1 case _ SpaceAfter=No
3 穴 穴 NOUN n,名詞,固定物,地形 Case=Loc 5 obj _ Gloss=cave|SpaceAfter=No
4 に _ ADP _ _ 3 case _ SpaceAfter=No
5 入ら 入 VERB v,動詞,行為,移動 _ 0 root _ Gloss=enter|SpaceAfter=No
6 ずして 不 AUX v,副詞,否定,無界 Polarity=Neg 5 advmod _ Gloss=not|SpaceAfter=No
7 虎 虎 NOUN n,名詞,主体,動物 _ 9 nmod _ Gloss=tiger|SpaceAfter=No
8 の _ ADP _ _ 7 case _ SpaceAfter=No
9 子 子 NOUN n,名詞,人,関係 _ 11 obj _ Gloss=child|SpaceAfter=No
10 を _ ADP _ _ 9 case _ SpaceAfter=No
11 得 得 VERB v,動詞,行為,得失 _ 5 parataxis _ Gloss=get|SpaceAfter=No
12 ず 不 AUX v,副詞,否定,無界 Polarity=Neg 11 advmod _ Gloss=not|SpaceAfter=No
>>> print(t.sentence())
虎の穴に入らずして虎の子を得ず
>>> print(s.to_tree())
不 <════╗ advmod
入 ═══╗═╝═╗ root
虎 <╗ ║ ║ nmod
穴 ═╝<╝ ║ obj
不 <════╗ ║ advmod
得 ═══╗═╝<╝ parataxis
虎 <╗ ║ nmod
子 ═╝<╝ obj
>>> print(t.to_tree())
虎 ═╗<╗ nmod(体言による連体修飾語)
の <╝ ║ case(格表示)
穴 ═╗═╝<╗ obj(目的語)
に <╝ ║ case(格表示)
入 ═╗═══╝═╗ root(親)
ら ║ ║
ず <╝ ║ advmod(連用修飾語)
し ║
て ║
虎 ═╗<╗ ║ nmod(体言による連体修飾語)
の <╝ ║ ║ case(格表示)
子 ═╗═╝<╗ ║ obj(目的語)
を <╝ ║ ║ case(格表示)
得 ═╗═══╝<╝ parataxis(隣接表現)
ず <╝ advmod(連用修飾語)
```
`udkundoku.load()` is an alias for `udkanbun.load()` of [UD-Kanbun](https://github.com/KoichiYasuoka/UD-Kanbun/). `udkundoku.translate()` is a transcriptive converter from Classical Chinese (under Universal Dependencies of UD-Kanbun) into Modern Japanese (under Universal Dependencies of [UniDic2UD](https://github.com/KoichiYasuoka/UniDic2UD/)). `udkundoku.reorder()` is called to rearrange Classical Chinese into Japanese word-order inside `udkundoku.translate()`. `to_tree()` and `to_svg()` are borrowed from those of UD-Kanbun.
You can simply use `udkundoku` on the command line:
```sh
echo 不入虎穴不得虎子 | udkundoku -j
```
## HTTP-server usage
```sh
python -m udkundoku.server 5000
```
Try to connect `http://127.0.0.1:5000` with your local browser. Input a Classical Chinese sentence there and push 解析-button (at least) three times.
## Installation for Linux
Tar-ball is available for Linux, and is installed by default when you use `pip`:
```sh
pip install udkundoku
```
[旧仮名口語UniDic](https://clrd.ninjal.ac.jp/unidic/download_all.html#unidic_qkana) is automatically downloaded for UniDic2UD.
## Installation for Cygwin
Make sure to get `gcc-g++` `python37-pip` `python37-devel` packages, and then:
```sh
pip3.7 install udkundoku
```
Use `python3.7` command in [Cygwin](https://www.cygwin.com/install.html) instead of `python`.
## Installation for Jupyter Notebook (Google Colaboratory)
```py
!pip install udkundoku
```
Try [notebook](https://colab.research.google.com/github/KoichiYasuoka/UD-Kundoku/blob/master/udkundoku.ipynb) for Google Colaboratory.
## Author
Koichi Yasuoka (安岡孝一)
## References
* 安岡孝一: [漢文の依存文法解析にもとづく自動訓読システム](http://hdl.handle.net/2433/259315), 日本漢字学会第3回研究大会予稿集(2020年11月), pp.60-73.
* 安岡孝一: [漢文の依存文法解析と返り点の関係について](http://hdl.handle.net/2433/235609), 日本漢字学会第1回研究大会予稿集(2018年12月), pp.33-48.
%prep
%autosetup -n udkundoku-2.2.7
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-udkundoku -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 2.2.7-1
- Package Spec generated
|
