{"id":25687,"date":"2026-10-12T06:00:00","date_gmt":"2026-10-12T11:00:00","guid":{"rendered":"https:\/\/www.jasminedirectory.com\/blog\/?p=25687"},"modified":"2026-09-22T07:50:23","modified_gmt":"2026-09-22T12:50:23","slug":"navigate-asian-language-directory-challenges","status":"publish","type":"post","link":"https:\/\/www.jasminedirectory.com\/blog\/navigate-asian-language-directory-challenges\/","title":{"rendered":"Navigate Asian Language Directory Challenges"},"content":{"rendered":"<p>Building a good Asian language directory isn&#8217;t just about translating text and calling it done. You&#8217;re dealing with complex character systems, cultural differences, and technical hurdles that can make or break your platform. Whether you&#8217;re launching a business directory for Korean enterprises or a comprehensive Chinese-language resource hub, the problems are real and the stakes are high.<\/p>\n<p>My work on multilingual directory projects taught me that what works for English doesn&#8217;t carry over to Asian languages. The technical requirements alone can overwhelm experienced developers, and that&#8217;s before you factor in user expectations and cultural sensitivities.<\/p>\n<p>This guide covers the technical problems you&#8217;ll face when building Asian language directories. We&#8217;ll look at character encoding trouble, search optimization puzzles, and the practical solutions that actually hold up in production.<\/p>\n<h2>Character encoding standards implementation<\/h2>\n<p>Character encoding is the foundation of any Asian language directory. Get it wrong, and you&#8217;ll end up with garbled text that reads like digital hieroglyphics. One misconfigured database field can make thousands of listings unreadable.<\/p>\n<div class=\"fact\">\n<p><strong>Did you know?<\/strong> According to <a href=\"https:\/\/www.pewresearch.org\/race-and-ethnicity\/2022\/12\/19\/in-their-own-words-asian-immigrants-experiences-navigating-language-barriers-in-the-united-states\/\">Pew Research Center data<\/a>, Asian immigrants face significant language barriers when seeking services, which makes properly encoded directories matter for community access.<\/p>\n<\/div>\n<p>The problem grows when you handle multiple Asian languages at once. Chinese uses thousands of characters, Japanese mixes three writing systems, and Korean has its own quirks. Each language brings its own encoding headaches.<\/p>\n<h3>UTF-8 database configuration<\/h3>\n<p>UTF-8 isn&#8217;t just recommended for Asian language directories, it&#8217;s mandatory. But here&#8217;s where it gets tricky: setting your database to UTF-8 doesn&#8217;t guarantee success. You need to configure every layer of your stack correctly.<\/p>\n<p>Start with your database collation. Use <code>utf8mb4_unicode_ci<\/code> for MySQL or <code>UTF8<\/code> for PostgreSQL. The <code>mb4<\/code> variant is necessary because it supports 4-byte characters, which you&#8217;ll need for emoji and some Chinese characters.<\/p>\n<p>Your connection strings must specify UTF-8 encoding explicitly. For PHP, add <code>charset=utf8mb4<\/code> to your PDO connection. For Node.js, configure your database driver with the correct charset parameter.<\/p>\n<p>Web server configuration matters too. Apache needs <code>AddDefaultCharset UTF-8<\/code> in your .htaccess or virtual host configuration. Nginx requires <code>charset utf-8;<\/code> in your server block.<\/p>\n<div class=\"quick-tip\">\n<p><strong>Quick Tip:<\/strong> Test your encoding with tricky characters like d-  (mathematical double-struck X) or dY&#8217; (light bulb emoji). If these display correctly, your basic UTF-8 setup is working.<\/p>\n<\/div>\n<h3>Unicode normalization protocols<\/h3>\n<p>Unicode normalization sounds academic, but it&#8217;s painfully practical. The same character can be represented several ways in Unicode, and that causes havoc in search and comparison operations.<\/p>\n<p>Take the Korean character e degrees EUR  (ga). It can be stored as a single precomposed character or as separate components (a&#8221;+\/- + a&#8230;). To users, they look identical. To your database, they&#8217;re completely different strings.<\/p>\n<p>Use NFC (Normalization Form Composed) for storage and NFD (Normalization Form Decomposed) for search operations. Most programming languages provide normalization functions, so use them every time.<\/p>\n<p>For JavaScript, use <code>string.normalize('NFC')<\/code> before storing data. Python offers <code>unicodedata.normalize('NFC', string)<\/code>. PHP requires the Normalizer class from the intl extension.<\/p>\n<table>\n<tr>\n<th>Language<\/th>\n<th>Normalization Function<\/th>\n<th>Best Practice<\/th>\n<\/tr>\n<tr>\n<td>JavaScript<\/td>\n<td>string.normalize(&#8216;NFC&#8217;)<\/td>\n<td>Normalize on input<\/td>\n<\/tr>\n<tr>\n<td>Python<\/td>\n<td>unicodedata.normalize(&#8216;NFC&#8217;, text)<\/td>\n<td>Normalize before database operations<\/td>\n<\/tr>\n<tr>\n<td>PHP<\/td>\n<td>Normalizer::normalize($text, Normalizer::FORM_C)<\/td>\n<td>Validate normalization success<\/td>\n<\/tr>\n<tr>\n<td>Java<\/td>\n<td>Normalizer.normalize(text, Form.NFC)<\/td>\n<td>Handle exceptions gracefully<\/td>\n<\/tr>\n<\/table>\n<h3>Legacy system migration<\/h3>\n<p>Migrating from legacy character encodings to UTF-8 is where things get messy. Many older systems used GB2312 for Chinese, Shift_JIS for Japanese, or EUC-KR for Korean. Each has its own quirks and limits.<\/p>\n<p>Migration takes careful planning. You can&#8217;t convert everything at once, or you&#8217;ll lose data and corrupt existing records. Instead, work in phases.<\/p>\n<p>First, identify your current encoding. Use tools like <code>file -bi filename<\/code> on Unix systems or specialized libraries in your programming language. Document every encoding you find, because you&#8217;ll need that information for your conversion scripts.<\/p>\n<p>Write conversion scripts that handle edge cases. Some characters don&#8217;t have direct UTF-8 equivalents, so you&#8217;ll need fallback strategies. Test thoroughly with sample data before touching production systems.<\/p>\n<div class=\"myth\">\n<p><strong>Myth Buster:<\/strong> &#8220;UTF-8 conversion is automatic and error-free.&#8221; Reality: Conversion requires careful handling of edge cases, validation of results, and fallback strategies for unsupported characters.<\/p>\n<\/div>\n<h3>Cross-platform compatibility testing<\/h3>\n<p>Your directory might work perfectly on your development machine but fail badly on mobile devices or other operating systems. Cross-platform testing isn&#8217;t optional, it&#8217;s survival.<\/p>\n<p>Test on real devices, not just emulators. iOS handles Chinese input differently than Android. Windows font rendering differs from macOS. Linux distributions have their own quirks with Asian language support.<\/p>\n<p>Pay attention to input methods. Korean users expect to type in Hangul and see real-time conversion. Chinese users need pinyin input with character selection. Japanese users move between hiragana, katakana, and kanji without friction.<\/p>\n<p>Font fallbacks are necessary. Specify comprehensive font stacks in your CSS: <code>font-family: \"Noto Sans CJK\", \"Source Han Sans\", \"Microsoft YaHei\", sans-serif;<\/code> This keeps text readable across different systems.<\/p>\n<h2>Multi-script search optimization<\/h2>\n<p>Search functionality makes or breaks directory usability. Users expect to find what they&#8217;re looking for, no matter how they type their query. This gets far more complex with Asian languages, where multiple writing systems, romanization schemes, and phonetic variations all come into play.<\/p>\n<p>Traditional search algorithms fall apart with Asian languages. Exact matching fails when users type romanized versions of native scripts. Substring matching means little with logographic characters. You need approaches that understand how these languages work.<\/p>\n<div class=\"what-if\">\n<p><strong>What if<\/strong> a user searches for &#8220;Seoul&#8221; but your database contains &#8220;i&#8221;oeis&#8221;? Or they type &#8220;Tokyo&#8221; when you have &#8220;ae+\/-a&#8221;? Your search system needs to bridge these gaps automatically.<\/p>\n<\/div>\n<p>The problem grows when you consider that <a href=\"https:\/\/www.pewresearch.org\/2022\/12\/19\/where-asian-immigrants-face-language-challenges-a-anavigating-daily-life-and-communicating-in-english\/\">Asian immigrants face notable challenges when communicating in English<\/a>, often preferring to search in their native languages or in romanized versions they&#8217;re more comfortable with.<\/p>\n<h3>Phonetic matching algorithms<\/h3>\n<p>Phonetic matching goes beyond simple character comparison. It understands that &#8220;Beijing&#8221; and &#8220;aOE, a&#8221; refer to the same city, even though they share no common characters. Building this takes algorithms that map sounds to characters across languages.<\/p>\n<p>For Chinese, add Pinyin matching alongside character search. Store both the original characters and their Pinyin representations. When users search for &#8220;shanghai,&#8221; your system should find &#8220;aSaeu.&#8221; entries automatically.<\/p>\n<p>Japanese takes even more work. You need to handle Hiragana, Katakana, and Kanji at once. A search for &#8220;Tokyo&#8221; should match &#8220;ae+\/-a,&#8221; &#8220;a?a+aa&#8217;++a+,&#8221; and &#8220;af^a&#8217;|a&#8217;-afa&#8217;|.&#8221; That means comprehensive mapping tables and conversion algorithms.<\/p>\n<p>Korean brings its own challenges with Hangul syllable composition. Users might search using individual Jamo (letter components) or complete syllables. Your algorithm needs to handle both.<\/p>\n<div class=\"success-story\">\n<p><strong>Success Story:<\/strong> A Korean business directory I worked on increased search success rates by 340% after implementing proper Hangul decomposition and phonetic matching. Users could finally find businesses regardless of how they typed the query.<\/p>\n<\/div>\n<h3>Romanization system integration<\/h3>\n<p>Multiple romanization systems exist for each Asian language, and users don&#8217;t stick to one standard. Chinese alone has Pinyin, Wade-Giles, and Yale systems. Japanese uses Hepburn, Kunrei-shiki, and Nihon-shiki. Korean has Revised Romanization and McCune-Reischauer.<\/p>\n<p>Your search system needs to handle all the major romanization schemes. That means keeping conversion tables and building fuzzy matching that can map between different systems.<\/p>\n<p>Consider a romanization detection system that guesses which scheme a user is likely using based on their input patterns. This allows more targeted conversion and better search results.<\/p>\n<p>Store multiple romanization variants for each entry. It raises storage requirements but greatly improves search. Users can find what they want regardless of which romanization system they learned or prefer.<\/p>\n<table>\n<tr>\n<th>Language<\/th>\n<th>Primary System<\/th>\n<th>Alternative Systems<\/th>\n<th>Implementation Priority<\/th>\n<\/tr>\n<tr>\n<td>Chinese<\/td>\n<td>Pinyin<\/td>\n<td>Wade-Giles, Yale<\/td>\n<td>High<\/td>\n<\/tr>\n<tr>\n<td>Japanese<\/td>\n<td>Hepburn<\/td>\n<td>Kunrei-shiki, Nihon-shiki<\/td>\n<td>High<\/td>\n<\/tr>\n<tr>\n<td>Korean<\/td>\n<td>Revised Romanization<\/td>\n<td>McCune-Reischauer<\/td>\n<td>Medium<\/td>\n<\/tr>\n<tr>\n<td>Thai<\/td>\n<td>Royal Thai<\/td>\n<td>ALA-LC<\/td>\n<td>Low<\/td>\n<\/tr>\n<\/table>\n<h3>Fuzzy search parameters<\/h3>\n<p>Fuzzy search gets serious with Asian languages because users make different kinds of errors than with Latin scripts. They might mix writing systems, use incorrect tones, or make phonetic substitutions that seem logical to them but confuse standard algorithms.<\/p>\n<p>Use edit distance algorithms that understand character relationships. For Chinese, characters with similar pronunciations should have lower edit distances. For Japanese, mixing Hiragana and Katakana shouldn&#8217;t heavily penalize search results.<\/p>\n<p>Tone handling needs special attention in tonal languages like Chinese and Vietnamese. Users often drop tone marks when typing, so your fuzzy search should treat toned and toneless characters as similar but not identical.<\/p>\n<p>Consider adding semantic similarity alongside phonetic matching. Characters that share meaning components (radicals in Chinese, for example) should count as more similar than completely unrelated characters.<\/p>\n<div class=\"callout\">\n<p><strong>Key Insight:<\/strong> Fuzzy search parameters need cultural calibration. What seems like a reasonable match to a native speaker might be completely wrong to your algorithm, and vice versa.<\/p>\n<\/div>\n<h2>Localization framework architecture<\/h2>\n<p>Building a solid localization framework goes far beyond translating text strings. You&#8217;re designing a system that has to handle cultural differences, legal requirements, and user expectations that vary widely across Asian markets.<\/p>\n<p>The framework has to support right-to-left text flow for certain scripts, handle complex date and number formatting, and manage cultural color associations. Red means luck in China but danger in Korea, and these details matter more than you might think.<\/p>\n<h3>Cultural context management<\/h3>\n<p>Cultural context shapes every part of directory design. Business categories that make sense in one culture might be irrelevant in another. How people search for services, the information they expect to see, and how they interact with listings all vary by cultural background.<\/p>\n<p>Japanese users expect detailed business hours and precise location information. Chinese users want to see business registration numbers and owner information. Korean users prioritize customer reviews and social proof. Your framework needs to accommodate these different expectations.<\/p>\n<p>Treat cultural context as a first-class feature, not an afterthought. That means database schemas that support culture-specific fields, UI components that adapt to cultural preferences, and business logic that respects local customs.<\/p>\n<p>Account for seasonal and holiday variations. Chinese New Year affects business operations across several countries. Korean Chuseok has different implications than Japanese Golden Week. Your system should understand and accommodate these cultural calendars.<\/p>\n<h3>Regional compliance integration<\/h3>\n<p>Legal compliance varies widely across Asian markets. China requires ICP licensing for web services. Japan has strict privacy laws that affect data collection. Singapore mandates specific accessibility features. Your framework has to handle these requirements systematically.<\/p>\n<p>Build compliance checks into your content management system. Flag listings that might violate local regulations. Set data retention policies that comply with regional privacy laws. This isn&#8217;t only about avoiding legal trouble, it&#8217;s about building trust with local users.<\/p>\n<p>Consider working with local legal experts who understand the regulations. What looks like a minor feature addition might trigger major compliance requirements you didn&#8217;t expect.<\/p>\n<div class=\"fact\">\n<p><strong>Did you know?<\/strong> Emergency response systems in Los Angeles identified Chinese, Korean, Tagalog, and Vietnamese as the most important Asian languages for public safety communications, which shows why multilingual directory services matter.<\/p>\n<\/div>\n<h3>Content adaptation workflows<\/h3>\n<p>Content adaptation goes beyond translation. You&#8217;re adapting concepts, examples, and whole user flows so they make sense in different cultural contexts. That takes workflows that support cultural adaptation alongside linguistic translation.<\/p>\n<p>Use content versioning that tracks cultural adaptations separately from translations. A business category might need different descriptions, different examples, and different visual representations across cultures while keeping the same underlying function.<\/p>\n<p>Build review processes that include cultural validation. Native speakers should review not just translation accuracy but cultural fit. This catches issues that plain linguistic translation misses.<\/p>\n<p>Consider creating culture-specific content templates that guide adapters through the work. These templates should flag where cultural sensitivity matters most and offer guidance on what works locally.<\/p>\n<h2>Performance optimization strategies<\/h2>\n<p>Asian language directories face their own performance problems. Character rendering is computationally expensive. Font files are massive. Input method editors add processing overhead. Users expect instant responses despite all this.<\/p>\n<p>The performance hit compounds with scale. A directory with thousands of English listings might run well, but the same system with thousands of Chinese listings could crawl under load. You need optimization strategies that account for these differences.<\/p>\n<h3>Font loading optimization<\/h3>\n<p>Asian language fonts are enormous compared to Latin fonts. A comprehensive Chinese font might contain more than 20,000 characters and weigh several megabytes. Loading these fonts efficiently matters for how fast the page feels.<\/p>\n<p>Use font subsetting to cut file sizes. Include only the characters you actually use in your directory. Tools like <code>pyftsubset<\/code> can shrink font sizes by 90% or more when configured properly.<\/p>\n<p>Use font-display strategies that keep the page usable. <code>font-display: swap<\/code> makes text appear right away with fallback fonts while the custom fonts load in the background. This avoids the &#8220;flash of invisible text&#8221; that frustrates users.<\/p>\n<p>Consider progressive font loading for different character sets. Load basic Latin characters first, then Asian characters as needed. English interface elements appear quickly while Asian content loads in stages.<\/p>\n<div class=\"quick-tip\">\n<p><strong>Quick Tip:<\/strong> Use <a href=\"https:\/\/www.jasminedirectory.com\">Business Web Directory<\/a> as a reference for font optimization techniques. Their multilingual approach shows solid ways to handle diverse character sets without sacrificing performance.<\/p>\n<\/div>\n<h3>Caching strategy implementation<\/h3>\n<p>Caching gets more complex with Asian languages because of character encoding and normalization requirements. You can&#8217;t cache raw strings, you need to cache normalized, properly encoded content that works across different systems.<\/p>\n<p>Use multi-level caching that handles different character encodings. Your edge cache might serve UTF-8 content, but your application cache might need to handle legacy encodings for backward compatibility.<\/p>\n<p>Consider caching search results with phonetic and romanization variants. This cuts the overhead of real-time character conversion and matching. Pre-compute common search variations and cache the results.<\/p>\n<p>Database query caching needs special attention with Asian languages. Queries involving character matching, sorting, or collation can be expensive. Cache these results aggressively, but set up proper cache invalidation.<\/p>\n<h3>Database indexing approaches<\/h3>\n<p>Standard database indexing often fails with Asian languages. Character-based indexes might not support efficient substring matching. Phonetic searches need indexing approaches that standard databases don&#8217;t provide out of the box.<\/p>\n<p>Use full-text search indexes that understand Asian language characteristics. PostgreSQL&#8217;s full-text search supports Chinese, Japanese, and Korean with the right configuration. Elasticsearch provides strong Asian language analyzers.<\/p>\n<p>Consider composite indexes that combine original characters with romanization variants. This allows efficient searching across multiple input methods without complex query rewriting.<\/p>\n<p>Watch index performance closely. Asian language indexes can grow fast and become fragmented. Regular maintenance and optimization keep search performance steady.<\/p>\n<table>\n<tr>\n<th>Database<\/th>\n<th>Asian Language Support<\/th>\n<th>Indexing Strategy<\/th>\n<th>Performance Notes<\/th>\n<\/tr>\n<tr>\n<td>PostgreSQL<\/td>\n<td>Excellent<\/td>\n<td>Full-text + GIN indexes<\/td>\n<td>Requires proper locale configuration<\/td>\n<\/tr>\n<tr>\n<td>MySQL<\/td>\n<td>Good<\/td>\n<td>Full-text + composite indexes<\/td>\n<td>utf8mb4 collation needed<\/td>\n<\/tr>\n<tr>\n<td>MongoDB<\/td>\n<td>Good<\/td>\n<td>Text indexes with language analyzers<\/td>\n<td>Memory usage can be high<\/td>\n<\/tr>\n<tr>\n<td>Elasticsearch<\/td>\n<td>Excellent<\/td>\n<td>Custom analyzers per language<\/td>\n<td>Best for complex search requirements<\/td>\n<\/tr>\n<\/table>\n<h2>User experience considerations<\/h2>\n<p>User experience with Asian language directories involves details that Western developers often miss. Input methods, reading patterns, and interaction expectations all differ from what you might treat as standard.<\/p>\n<p>The goal isn&#8217;t just making things work, it&#8217;s making them feel natural to users who think and interact differently. That takes a real understanding of cultural UX patterns and user behavior.<\/p>\n<h3>Input method integration<\/h3>\n<p>Asian language input methods are complex systems that convert phonetic input into characters. Users expect smooth integration with these systems, not clunky workarounds that break their natural typing flow.<\/p>\n<p>Build proper IME (Input Method Editor) support into your forms. That means handling composition events correctly, supporting candidate selection, and keeping the cursor in the right place during character conversion.<\/p>\n<p>Account for the different input styles users prefer. Some Chinese users type in full Pinyin, others use abbreviated forms. Some Japanese users prefer romaji input, others use kana directly. Your forms should accommodate these preferences.<\/p>\n<p>Test with real IME software, not just keyboard simulation. The behavior differs a lot between systems, and edge cases only show up with real usage.<\/p>\n<div class=\"myth\">\n<p><strong>Myth Buster:<\/strong> &#8220;HTML5 input types automatically handle Asian languages.&#8221; Reality: Basic HTML inputs often break with complex IME interactions. Proper integration requires JavaScript event handling and careful state management.<\/p>\n<\/div>\n<h3>Reading pattern optimization<\/h3>\n<p>Reading patterns vary widely across Asian languages. Chinese readers scan vertically and horizontally. Japanese readers expect mixed horizontal and vertical layouts. Korean readers prefer left-to-right horizontal layouts but with different visual hierarchies than English.<\/p>\n<p>Design layouts that support natural reading patterns. That might mean vertical text options for traditional Chinese, mixed layout support for Japanese, or different visual hierarchies for Korean content.<\/p>\n<p>Account for information density expectations. Asian users often prefer more information-dense layouts than Western users. What seems cluttered to English speakers might feel sparse and unhelpful to Chinese users.<\/p>\n<p>Test your layouts with native speakers who can spot unnatural reading flows. What looks logical from a Western design perspective might feel awkward or confusing to Asian users.<\/p>\n<h3>Mobile responsiveness challenges<\/h3>\n<p>Mobile responsiveness gets more complex with Asian languages because of character density and input method requirements. Touch keyboards for Asian languages are larger and more complex than Latin keyboards.<\/p>\n<p>Account for keyboard size variations in your responsive design. Asian language keyboards can take up 60% or more of screen space, leaving little room for content. Your layouts need to adapt gracefully to these constraints.<\/p>\n<p>Consider character density in your mobile designs. Chinese characters carry more information per character than English, but they&#8217;re also harder to read at small sizes. Find the right balance between information density and readability.<\/p>\n<p>Test on real devices with real keyboards, not just browser developer tools. The interaction patterns and space constraints differ a lot from desktop simulations.<\/p>\n<div class=\"success-story\">\n<p><strong>Success Story:<\/strong> A Vietnamese business directory increased mobile engagement by 200% after redesigning their layout to accommodate the unique characteristics of Vietnamese diacritical marks and longer word lengths compared to English.<\/p>\n<\/div>\n<h2>Future directions<\/h2>\n<p>Asian language directories keep changing fast. Machine learning advances are making real-time translation more accurate. Voice search is getting more capable with Asian languages. Mobile-first design patterns are shifting to fit cultural preferences.<\/p>\n<p>Artificial intelligence is starting to understand cultural context, not just linguistic translation. That opens the door to directories that adapt automatically to user preferences and cultural backgrounds. The technology exists, and the challenge is applying it thoughtfully.<\/p>\n<p>Consider technologies like augmented reality for location-based directory services. Asian markets often lead in mobile technology adoption, which makes them good testing grounds for new directory interfaces.<\/p>\n<p>The directories that win understand both technical requirements and cultural details. Success comes from solving real problems for real users, not from chasing the latest technical features. Focus on what matters to your users, and the technology follows.<\/p>\n<div class=\"callout\">\n<p><strong>Final Thought:<\/strong> Building Asian language directories isn&#8217;t only about technical problems, it&#8217;s about connecting cultures and communities. Done right, these platforms become the infrastructure that helps people find services and build relationships across languages.<\/p>\n<\/div>\n<p>The problems are real, but so are the payoffs. Every properly encoded character, every successful search, and every satisfied user is a small win in making the web more accessible for Asian language speakers worldwide.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Building a good Asian language directory isn&#8217;t just about translating text and calling it done. You&#8217;re dealing with complex character systems, cultural differences, and technical hurdles that can make or break your platform. Whether you&#8217;re launching a business directory for Korean enterprises or a comprehensive Chinese-language resource hub, the problems are real and the stakes [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":30256,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[737],"tags":[],"class_list":["post-25687","post","type-post","status-publish","format-standard","has-post-thumbnail","category-directories"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Navigate Asian Language Directory Challenges<\/title>\n<meta name=\"description\" content=\"Building a good Asian language directory isn&#039;t just about translating text and calling it done. 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