yosina 1.0.0

Japanese text transliteration library

Yosina Python

A Python port of the Yosina Japanese text transliteration library.

Overview

Yosina is a library for Japanese text transliteration that provides various text normalization and conversion features commonly needed when processing Japanese text.

Usage

from yosina import make_transliterator, TransliterationRecipe

# Create a recipe with desired transformations
recipe = TransliterationRecipe(
    kanji_old_new=True,
    replace_spaces=True,
    replace_suspicious_hyphens_to_prolonged_sound_marks=True,
    replace_circled_or_squared_characters=True,
    replace_combined_characters=True,
    hira_kata="hira-to-kata",  # Convert hiragana to katakana
    replace_japanese_iteration_marks=True,  # Expand iteration marks
    to_fullwidth=True,
)

# Create the transliterator
transliterator = make_transliterator(recipe)

# Use it with various special characters
input_text = "①②③　ⒶⒷⒸ　㍿㍑㌠㋿"  # circled numbers, letters, space, combined characters
result = transliterator(input_text)
print(result)  # "（１）（２）（３）　（Ａ）（Ｂ）（Ｃ）　株式会社リットルサンチーム令和"

# Convert old kanji to new
old_kanji = "舊字體"
result = transliterator(old_kanji)
print(result)  # "旧字体"

# Convert half-width katakana to full-width
half_width = "ﾃｽﾄﾓｼﾞﾚﾂ"
result = transliterator(half_width)
print(result)  # "テストモジレツ"

# Demonstrate hiragana to katakana conversion with iteration marks
mixed_text = "学問のすゝめ"
result = transliterator(mixed_text)
print(result)  # "学問ノススメ"

Using Direct Configuration

from yosina import make_transliterator

# Configure with direct transliterator configs
configs = [
    ("kanji-old-new", {}),
    ("spaces", {}),
    ("prolonged-sound-marks", {"replace_prolonged_marks_following_alnums": True}),
    ("circled-or-squared", {}),
    ("combined", {}),
    ("hira-kata", {"mode": "kata-to-hira"}),  # Convert katakana to hiragana
    ("japanese-iteration-marks", {}),  # Expand iteration marks like 々, ゝゞ, ヽヾ
]

transliterator = make_transliterator(configs)

# Example with various transformations including the new ones
input_text = "カタカナでの時々の佐々木さん"
result = transliterator(input_text)
print(result)  # "かたかなでの時時の佐佐木さん"

Available Transliterators

1. Circled or Squared (circled-or-squared)

Converts circled or squared characters to their plain equivalents.

• Options: templates (custom rendering), includeEmojis (include emoji characters)
• Example: ①②③ → (1)(2)(3), ㊙㊗ → (秘)(祝)

2. Combined (combined)

Expands combined characters into their individual character sequences.

• Example: ㍻ (Heisei era) → 平成, ㈱ → (株)

3. Hiragana-Katakana Composition (hira-kata-composition)

Combines decomposed hiraganas and katakanas into composed equivalents.

• Options: composeNonCombiningMarks (compose non-combining marks)
• Example: か + ゙ → が, ヘ + ゜ → ペ

4. Hiragana-Katakana (hira-kata)

Converts between hiragana and katakana scripts bidirectionally.

• Options: mode ("hira-to-kata" or "kata-to-hira")
• Example: ひらがな → ヒラガナ (hira-to-kata)

5. Hyphens (hyphens)

Replaces various dash/hyphen symbols with common ones used in Japanese.

• Options: precedence (mapping priority order)
• Available mappings: "ascii", "jisx0201", "jisx0208_90", "jisx0208_90_windows", "jisx0208_verbatim"
• Example: 2019—2020 (em dash) → 2019-2020

6. Ideographic Annotations (ideographic-annotations)

Replaces ideographic annotations used in traditional Chinese-to-Japanese translation.

• Example: ㆖㆘ → 上下

7. IVS-SVS Base (ivs-svs-base)

Handles Ideographic and Standardized Variation Selectors.

• Options: charset, mode ("ivs-or-svs" or "base"), preferSVS, dropSelectorsAltogether
• Example: 葛󠄀 (葛 + IVS) → 葛

8. Japanese Iteration Marks (japanese-iteration-marks)

Expands iteration marks by repeating the preceding character.

• Example: 時々 → 時時, いすゞ → いすず

9. JIS X 0201 and Alike (jisx0201-and-alike)

Handles half-width/full-width character conversion.

• Options: fullwidthToHalfwidth, convertGL (alphanumerics/symbols), convertGR (katakana), u005cAsYenSign
• Example: ABC123 → ＡＢＣ１２３, ｶﾀｶﾅ → カタカナ

10. Kanji Old-New (kanji-old-new)

Converts old-style kanji (旧字体) to modern forms (新字体).

• Example: 舊字體の變換 → 旧字体の変換

11. Mathematical Alphanumerics (mathematical-alphanumerics)

Normalizes mathematical alphanumeric symbols to plain ASCII.

• Example: 𝐀𝐁𝐂 (mathematical bold) → ABC

12. Prolonged Sound Marks (prolonged-sound-marks)

Handles contextual conversion between hyphens and prolonged sound marks.

• Options: skipAlreadyTransliteratedChars, allowProlongedHatsuon, allowProlongedSokuon, replaceProlongedMarksFollowingAlnums
• Example: イ−ハト−ヴォ (with hyphen) → イーハトーヴォ (prolonged mark)

13. Radicals (radicals)

Converts CJK radical characters to their corresponding ideographs.

• Example: ⾔⾨⾷ (Kangxi radicals) → 言門食

14. Spaces (spaces)

Normalizes various Unicode space characters to standard ASCII space.

• Example: A　B (ideographic space) → A B

15. Roman Numerals (roman-numerals)

Converts Unicode Roman numeral characters to their ASCII letter equivalents.

• Example: Ⅰ Ⅱ Ⅲ → I II III, ⅰ ⅱ ⅲ → i ii iii

Requirements

• Python 3.10 or higher

Installation

# Install with uv
uv add yosina

# Install with pip
pip install yosina

Development

This project uses uv for dependency management.

# Code generation
python -m codegen

# Install development dependencies
uv sync --extra dev

# Run tests
uv run pytest

# Run linting
uv run ruff check .

# Run formatting
uv run ruff format .

# Run type checking
uv run pyright

Requirements

• Python 3.10+
• typing-extensions

License

MIT