Multilingual Format

Standardized multilingual content format that enables comprehensive internationalization support across all META-AIML entity types. Provides translation management, localization options, and cultural adaptation for global AI understanding.

50+

Language Properties

ISO

Standards Compliant

RTL

Text Direction Support

Full

Localization Suite

Comprehensive Multilingual Features
Complete internationalization solution for AI-readable content

ISO Language Standards

Full support for ISO 639-1/639-2 language codes with optional ISO 3166-1 country codes

Translation Management

Comprehensive translation metadata including confidence scores, methods, and completeness tracking

Localization Options

Beyond translation - date/time formats, number formats, currency, and measurement units by locale

Fallback Chains

Intelligent fallback language chains for graceful content degradation

Cultural Adaptation

Regional customization for date formats, number separators, and cultural preferences

Text Direction Support

Full support for LTR and RTL languages with proper text direction handling

JSON Schema Definition
Core structure of the multilingual format component
multilingual-format.json
{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "title": "Standardized Multilingual Content Format",
  "description": "Reusable schema component for multilingual content across all entity types",
  "type": "object",
  "aimlVersion": "2.0.1",
  "schemaVersion": "2.0.1",
  "properties": {
    "defaultLanguage": {
      "type": "string",
      "description": "Default language code (ISO 639-1/639-2 with optional ISO 3166-1 country code)",
      "pattern": "^[a-z]{2,3}(-[A-Z]{2})?$",
      "default": "en"
    },
    "translations": {
      "type": "object",
      "description": "Container for translations of all translatable content",
      "patternProperties": {
        "^[a-z]{2,3}(-[A-Z]{2})?$": {
          "type": "object",
          "description": "Container for all translations in a specific language"
        }
      }
    },
    "supportedLanguages": {
      "type": "array",
      "description": "List of languages supported for this content",
      "items": {
        "type": "object",
        "properties": {
          "code": { "type": "string" },
          "name": { "type": "string" },
          "nativeName": { "type": "string" },
          "isComplete": { "type": "boolean" }
        }
      }
    }
  }
}
Usage in Entity Schemas
How multilingual content is implemented within schemas - data is included directly, not via $ref

Note: Multilingual format provides the structure standard, but entity schemas include multilingual data directly rather than using $ref references.

Multilingual content included directly in entity schema
{
  "name": {
    "en": "TechBazaar Global Marketplace",
    "es": "Mercado Global TechBazaar",
    "zh": "TechBazaar全球市场"
  },
  "description": {
    "en": "Leading B2B2C technology marketplace connecting vendors and buyers worldwide",
    "es": "Mercado tecnológico B2B2C líder que conecta vendedores y compradores en todo el mundo"
  }
}
Advanced Internationalization Features

Translation Quality

  • Human translation
  • Machine translation
  • Hybrid approach
  • Community translation
  • Confidence scoring

Content Management

  • Translation status tracking
  • Completeness percentages
  • Review workflows
  • Version control
  • Change tracking

Localization

  • Date/time formatting
  • Number formatting
  • Currency display
  • Measurement units
  • First day of week

User Experience

  • Language selector UI
  • Geolocation detection
  • Custom language ordering
  • Flag display options
  • Incomplete language handling
Language Code Examples

Basic Codes

enEnglish
esSpanish
frFrench
zhChinese

Regional Variants

en-USUS English
en-GBUK English
fr-CACanadian French
zh-CNSimplified Chinese

Text Direction

arRTL Arabic
heRTL Hebrew
faRTL Persian
urRTL Urdu

Multilingual format component enables comprehensive internationalization support with translation management and cultural adaptation for global AI understanding.