[Romanizer] 羅馬字顯示變調 ruby #226
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,186 @@ | ||
| /** | ||
| * HakSpring Sandhi Engine | ||
| * Generalized framework for Hakka tone sandhi rules. | ||
| */ | ||
|
|
||
| const HakkaSandhi = (() => { | ||
| const BLOCKING_PUNCTUATION = '()（）【】'; | ||
| const SKIPPABLE_PUNCTUATION = '\\s、'; | ||
| const ALL_PUNCTUATION_CHARS = SKIPPABLE_PUNCTUATION + BLOCKING_PUNCTUATION; | ||
|
|
||
| const TOKENIZER_REGEX = new RegExp( | ||
| `[^<>` + | ||
| ALL_PUNCTUATION_CHARS + | ||
| `]+|[${SKIPPABLE_PUNCTUATION}]+|[${BLOCKING_PUNCTUATION}]+`, | ||
| 'g' | ||
| ); | ||
| const SKIPPABLE_REGEX = new RegExp(`^[${SKIPPABLE_PUNCTUATION}]+$`); | ||
| const BLOCKING_REGEX = new RegExp(`^[${BLOCKING_PUNCTUATION}]+$`); | ||
|
|
||
| /** | ||
| * Defines sandhi rules for different dialects. | ||
| * Each dialect has an array of rules. | ||
| * A rule is a function: (currentSyllable, nextSyllable) => { newTone, rubyClass } | null | ||
| */ | ||
| const rules = { | ||
| '大埔': [ | ||
| // Rule 1: 31/53 + (31, 11, 33, 53, 2) -> 55 (高降變) | ||
| // Note: Dapu 31 is circumflex [âêîôû], while some other dialects/notations might use grave [àèìòù]. | ||
| (current, next) => { | ||
| if (current.match(/[àèìòùâêîôû](?![bdg])/) && next.match(/[àèìòùâêîôûǎěǐǒǔāēīōū]/)) { | ||
| return { newTone: '55', rubyClass: 'sandhi-高降變' }; | ||
| } | ||
| return null; | ||
| }, | ||
| // Rule 2: 33 + (113, 21, 53, 31, 35) -> 35 (中平變) | ||
| (current, next) => { | ||
| if (current.match(/[āēīōū]/) && next.match(/[ǎěǐǒǔâêîôûàèìòùáéíóú]/)) { | ||
| return { newTone: '35', rubyClass: 'sandhi-中平變' }; | ||
| } | ||
| return null; | ||
| }, | ||
| // Rule 3: 113 + 113 -> 33 (低升變) | ||
| (current, next) => { | ||
| if (current.match(/[ǎěǐǒǔ]/) && next.match(/[ǎěǐǒǔ]/)) { | ||
| return { newTone: '33', rubyClass: 'sandhi-低升變' }; | ||
| } | ||
| return null; | ||
| } | ||
| ] | ||
| // Other dialects can be added here | ||
| }; | ||
|
|
||
| /** | ||
| * Applies sandhi rules to a single syllable given the next one. | ||
| */ | ||
| function applyRule(syllable, nextSyllable, dialect) { | ||
| const dialectRules = rules[dialect] || []; | ||
| for (const rule of dialectRules) { | ||
| const result = rule(syllable, nextSyllable); | ||
| if (result) return result; | ||
| } | ||
| return null; | ||
| } | ||
|
|
||
| /** | ||
| * Processes a list of tokens and applies sandhi. | ||
| * Tokens can be syllables, punctuation, or spaces. | ||
| */ | ||
| function applyToTokens(tokens, dialectName) { | ||
| const dialect = dialectName ? dialectName.replace('教典', '') : ''; | ||
| const results = []; | ||
| for (let i = 0; i < tokens.length; i++) { | ||
| let currentToken = tokens[i]; | ||
|
|
||
| // Skip non-syllables or already processed ruby tags | ||
| if ( | ||
| currentToken.startsWith('<ruby') || | ||
| SKIPPABLE_REGEX.test(currentToken) || | ||
| BLOCKING_REGEX.test(currentToken) | ||
| ) { | ||
| results.push({ text: currentToken, sandhi: null }); | ||
| continue; | ||
| } | ||
|
|
||
| // Find the next "real" word token | ||
| let nextWordToken = ''; | ||
| for (let j = i + 1; j < tokens.length; j++) { | ||
| if ( | ||
| tokens[j].startsWith('<ruby') || | ||
| SKIPPABLE_REGEX.test(tokens[j]) | ||
| ) { | ||
| continue; | ||
| } | ||
| if (BLOCKING_REGEX.test(tokens[j])) { | ||
| break; | ||
| } | ||
| nextWordToken = tokens[j]; | ||
| break; | ||
| } | ||
|
|
||
| if (!nextWordToken) { | ||
| results.push({ text: currentToken, sandhi: null }); | ||
| continue; | ||
| } | ||
|
|
||
| // Handle multiple variants separated by '/' | ||
| if (currentToken.includes('/')) { | ||
| const variants = currentToken.split('/'); | ||
| const processedVariants = variants.map(v => { | ||
| const ruleResult = applyRule(v, nextWordToken, dialect); | ||
| return ruleResult ? { text: v, ...ruleResult } : { text: v, sandhi: null }; | ||
| }); | ||
| results.push({ variants: processedVariants }); | ||
| } else { | ||
| const ruleResult = applyRule(currentToken, nextWordToken, dialect); | ||
| results.push(ruleResult ? { text: currentToken, ...ruleResult } : { text: currentToken, sandhi: null }); | ||
| } | ||
| } | ||
| return results; | ||
| } | ||
|
|
||
| /** | ||
| * Processes an HTML string (like from the dictionary) and injects <ruby> tags for sandhi. | ||
| */ | ||
| function applyToHtml(htmlContent, dialectName) { | ||
| const dialect = dialectName ? dialectName.replace('教典', '') : ''; | ||
| if (!dialect || !rules[dialect]) return htmlContent; | ||
|
|
||
| const sandhiRubyRegex = /<ruby class="sandhi-(?:高降變|中平變|低升變)"[^>]*>.*?<\/ruby>/g; | ||
| let preliminaryTokens = []; | ||
| let lastIndex = 0; | ||
|
|
||
| // Preserve existing sandhi ruby tags | ||
| htmlContent.replace(sandhiRubyRegex, (match, offset) => { | ||
| if (offset > lastIndex) { | ||
| preliminaryTokens.push(htmlContent.substring(lastIndex, offset)); | ||
| } | ||
| preliminaryTokens.push(match); | ||
| lastIndex = offset + match.length; | ||
| return match; | ||
| }); | ||
| if (lastIndex < htmlContent.length) { | ||
| preliminaryTokens.push(htmlContent.substring(lastIndex)); | ||
| } | ||
|
|
||
| const tokens = preliminaryTokens | ||
| .flatMap((token) => { | ||
| if (token.startsWith('<ruby')) return [token]; | ||
| return token.match(TOKENIZER_REGEX) || []; | ||
| }) | ||
| .filter((t) => t && t.length > 0); | ||
|
|
||
| const sandhiResults = applyToTokens(tokens, dialect); | ||
| let hasActualModification = false; | ||
|
|
||
| const finalTokens = sandhiResults.map(res => { | ||
| if (res.variants) { | ||
| const variantHtml = res.variants.map(v => { | ||
| if (v.newTone) { | ||
| hasActualModification = true; | ||
| return `<ruby class="${v.rubyClass}">${v.text}<rt>${v.newTone}</rt></ruby>`; | ||
| } | ||
| return v.text; | ||
| }).join('/'); | ||
| return variantHtml; | ||
| } else if (res.newTone) { | ||
| hasActualModification = true; | ||
| return `<ruby class="${res.rubyClass}">${res.text}<rt>${res.newTone}</rt></ruby>`; | ||
| } | ||
| return res.text; | ||
| }); | ||
|
|
||
| return hasActualModification ? finalTokens.join('') : htmlContent; | ||
| } | ||
|
|
||
| return { | ||
| applyToTokens, | ||
| applyToHtml, | ||
| hasRulesFor: (dialect) => !!(dialect && rules[dialect.replace('教典', '')]) | ||
| }; | ||
| })(); | ||
|
|
||
| // Export for browser environment | ||
| if (typeof window !== 'undefined') { | ||
| window.HakkaSandhi = HakkaSandhi; | ||
| } |
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這段用來尋找 syllable wrapper (
<span>或<ruby>) 內文字節點的邏輯，在applyCapitalizationRules函式中 (分別是handleLowering和handleUpper的部分) 也有重複。為了提高程式碼的可維護性並減少重複，建議將這段邏輯提取到一個獨立的輔助函式中。例如，可以在
romanizer.js的頂層範圍定義一個函式：然後，這裡的程式碼就可以簡化成：
同樣的簡化也可以應用在
applyCapitalizationRules函式中，讓程式碼更簡潔且易於維護。