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Converts romaji to kana characters.","maintainers":[{"name":"memolia3","email":"memoliambda3@gmail.com"}],"readme":"# JpTransliterator\r\n\r\n
\r\n \r\n
\r\n\r\n## 特徴 / features\r\n\r\n- かな文字(+記号)をキーイベントで入力可能なローマ字に変換します。
\r\n Converts kana characters (including symbols) to romaji that can be input via keyboard events.
\r\n\r\n- ローマ字をかな文字に変換します。
\r\n Converts romaji to kana characters.
\r\n\r\n- フレームワークに依存しません。React, Vue 等で使用可能です。
\r\n Framework-agnostic, usable with React, Vue, and other frameworks.\r\n\r\n## デモ / Demo\r\n\r\n- [Vue のデモ / Vue Demo](https://memolia3.github.io/jp-transliterator/)\r\n\r\n## 追加機能\r\n\r\n### パターン取得関数\r\n\r\n新しいバージョンでは、以下のパターン取得関数が追加されました：\r\n\r\n```typescript\r\n// すべての変換パターンを取得\r\ngetAllRomajiPatterns(text: string): InputPatternMatrix | ConversionResult\r\n\r\n// 文字ごとのローマ字パターンを取得\r\ngetCharacterPatterns(text: string): InputPatternMatrix | ConversionResult\r\n\r\n// 完全な入力パターン情報（パターン、文字マップ、分割パターン）を取得\r\ngetCompletePatterns(text: string): AllInputPatterns | ConversionResult\r\n\r\n// 標準的なパターンセット配列を取得\r\ngetPatternSets(text: string): PatternSetArray | ConversionResult\r\n```\r\n\r\n### 使用例\r\n\r\n````typescript\r\nimport {\r\n getAllRomajiPatterns,\r\n getCharacterPatterns,\r\n} from \"jp-transliterator\";\r\n\r\n// すべての変換パターンを取得\r\nconst allPatterns = getAllRomajiPatterns(\"こんにちは\");\r\nconsole.log(allPatterns);\r\n// 出力例: [[\"konnichiha\"], [\"konnnichiha\"], ...]\r\n\r\n// 文字ごとのローマ字パターンを取得\r\nconst characterPatterns = getCharacterPatterns(\"こんにちは\");\r\nconsole.log(characterPatterns);\r\n// 出力例: [[\"ko\", \"n\", \"ni\", \"chi\", \"ha\"], [\"ko\", \"nn\", \"ni\", \"chi\", \"ha\"], ...]\r\n\r\n### パフォーマンス改善\r\n\r\nこのバージョンでは、Trie データ構造とストリーミング処理を取り入れ、メモリ使用量を大幅に削減しました：\r\n\r\n- **Trie 構造**: 効率的な文字列検索と一致パターン取得\r\n- **ストリーミング処理**: 大量のデータをメモリに保持せず処理\r\n- **チャンク処理**: 長い入力を適切にチャンク分割して処理\r\n- **特殊文字対応**: 拗音（「しゃ」「しゅ」「しょ」など）や促音（「っ」）が途中で分断されないチャンク処理\r\n- **制御可能なチャンクサイズ**: チャンクサイズを 0 に設定することで分割なしの処理が可能\r\n\r\n### オプション設定\r\n\r\n変換処理のオプションを設定できます：\r\n\r\n```typescript\r\nimport { toRomaji, toKana } from \"jp-transliterator\";\r\n\r\n// チャンクサイズを指定（0を指定すると分割なし）\r\nconst romaji = toRomaji(\"こんにちは\", { chunkSize: 0 });\r\n\r\n// デフォルトのチャンクサイズで変換\r\nconst kana = toKana(\"konnichiwa\");\r\n````\r\n\r\nチャンクサイズの指定について：\r\n\r\n- `chunkSize: 0` - 入力を分割せず、すべての結果を生成（メモリ使用量に注意）\r\n- `chunkSize: 5～15` - 一般的な用途には十分なチャンクサイズ\r\n- 大きな値を指定すると、より多くの結果が生成されますが、メモリ使用量が増加します\r\n","readmeFilename":"README.md"}