kanjiconv
Japanese REAMED is here. (日本語のREADMEはこちらです。)
https://github.com/sea-turt1e/kanjiconv/blob/main/README_ja.md
![kanjiconv](images/kanjiconv.png)
Kanji Converter to Hiragana, Katakana, Roman alphabet.
You can get the reading and pronunciation of Japanese sentences based on sudachidict.
Sudachidict is a regularly updated dictionary, so it can relatively handle new proper nouns and other terms.
Environments
macOS Sonoma 14.5
python==3.11.7
Install
Install kanjiconv
pip install kanjiconv
How to use
Import & Create Instance
from kanjiconv import KanjiConv
kanji_conv = KanjiConv(separator="/")
Get Reading
text = "幽☆遊☆白書は、最高の漫画デス。"
print(kanji_conv.to_hiragana(text))
ゆうゆうはくしょ/は/、/さいこう/の/まんが/です/。
text = "幽☆遊☆白書は、最高の漫画デス。"
print(kanji_conv.to_katakana(text))
ユウユウハクショ/ハ/、/サイコウ/ノ/マンガ/デス/。
text = "幽☆遊☆白書は、最高の漫画デス。"
print(kanji_conv.to_roman(text))
yuuyuuhakusho/ha/, /saikou/no/manga/desu/.
kanji_conv = KanjiConv(separator="_")
print(kanji_conv.to_hiragana(text))
ゆうゆうはくしょ_は_、_さいこう_の_まんが_です_。
kanji_conv = KanjiConv(separator="")
print(kanji_conv.to_hiragana(text))
ゆうゆうはくしょは、さいこうのまんがです。
(Optional) Installing sudachidict other than the default
The default dictionary is sudachidict_full. If you want to use a lighter dictionary, you can install either sudachidict_small or sudachidict_core.
- If you need detailed readings, we recommend using sudachidict_full. The default is set to sudachidict_full.
- If you prefer lighter operation, sudachidict_small is recommended.
- sudachidict_core offers a balanced option between speed and accuracy.
pip install sudachidict_small
pip install sudachidict_core
- If using sudachidict_small or sudachidict_core, specify it like this:
kanji_conv = KanjiConv(sudachi_dict_type="small", separator="/")
kanji_conv = KanjiConv(sudachi_dict_type="core", separator="/")
Update Dict
kanjiconv reading function is based on SudachiDict, and you need to update SudachiDict regularly via pip.
pip install -U sudachidict_full
pip install -U sudachidict_small
pip install -U sudachidict_core
License
This project is licensed under the Apache License 2.0.
Open Source Software Used
This library uses SudachiPy and its dictionary SudachiDict for morphological analysis. These are also distributed under the Apache License 2.0.
For detailed license information, please refer to the LICENSE files of each project: