🌍 Translation Quality

Source Language

All content on AI Sentia is originally collected, processed, and enriched in English. We monitor 35+ global sources including OpenAI, Anthropic, Google DeepMind, ArXiv, MIT, GitHub, and leading AI researchers. English serves as our authoritative source language.

Translation Services

We use two premium AI translation services:

• Sarvam AI (Hindi only): Premium Indian AI translation service specifically optimized for Hindi language. Sarvam AI understands Indian cultural context, technical terminology in Devanagari script, and regional linguistic nuances. Average accuracy: 95% for technical content. If Sarvam AI quota is exhausted, the system automatically falls back to Google Gemini for Hindi translation.
• Google Gemini 2.5 Flash (19 languages): State-of-the-art large language model with multilingual training across 100+ languages. Gemini excels at preserving technical terminology, handling code snippets, and maintaining context in complex AI/ML content. Average accuracy: 80-92% depending on language and content complexity.

Automated Workflow

Translation occurs automatically during our daily build process (midnight UTC). When new articles are discovered and enriched (summary generation, persona assignment, metadata extraction), they are simultaneously translated into all 20 languages. The entire workflow completes in approximately 55-60 minutes, producing separate database files for each language (e.g., database_hi.json, database_es.json).

What Gets Translated

• Article titles — Localized for readability
• AI-generated summaries (1-2 sentences) — Full semantic translation
• Key takeaways (bullet points) — Translated with context preservation
• Persona labels (Developer, Research, Enterprise, Healthcare) — Localized terms
• User interface elements (buttons, filters, banners, footer) — Complete UI localization

What Stays in English

• Original article links — Always point to English source material
• Company names (OpenAI, Anthropic, Google DeepMind) — Brand names preserved
• Acronyms (LLM, API, GPU, AGI, RAG, LoRA) — Industry standard terms
• Code repositories — GitHub links and repository names unchanged
• Technical model names (GPT-4, Claude 3.5, Gemini 2.0) — Product identifiers preserved

Automated Quality Checks

• Character encoding validation: Ensures proper UTF-8 rendering for all scripts (Devanagari, Arabic, Cyrillic, CJK characters)
• Translation completeness: Verifies all required fields (title, summary, takeaways) are translated and non-empty
• Length sanity checks: Flags translations that are suspiciously short or excessively long compared to source text (may indicate mistranslation)
• Fallback handling: If primary translation service fails (API quota, timeout), system automatically retries with smart waiting strategies and maintains English fallback

User Feedback Mechanism

We actively monitor translation quality through user feedback. If you encounter a translation error, please report it via our feedback form. Include:

• Article URL or title
• Your selected language
• Description of the error (incorrect term, missing context, wrong meaning)
• Suggested correction (optional but helpful)

Periodic Manual Review

Our team conducts monthly manual reviews of high-engagement articles across all languages. Native speakers verify terminology accuracy, contextual appropriateness, and readability. Findings inform prompt engineering improvements and service selection decisions.

Common Translation Challenges

• Emerging terminology: Newly coined AI terms (e.g., "Constitutional AI", "RLHF", "mixture-of-experts") may not have established translations in all languages. We preserve English terms when appropriate.
• Cultural context: Jokes, idioms, and cultural references in source articles may not translate meaningfully. Our summaries focus on factual information.
• Product-specific jargon: Company-specific terminology (e.g., "Claude Artifacts", "GPT Store") is sometimes transliterated rather than translated to maintain clarity.
• Code snippets: Programming code and command-line examples remain in English. Comments within code may be translated if they contain natural language explanations.

Recommended Usage

Accessing Original Content

Every article includes a "Read Article" link that directs you to the original English source. The language selector in the header allows instant switching to English or any other supported language. Your language preference is saved locally (browser storage) for convenience.

Our long-term vision is to provide AI news in 25+ languages, covering 96% of global internet users. Language expansion is guided by:

• User demand (based on geographic traffic and language preferences)
• Translation model availability and quality
• Regional AI adoption trends and market size
• Community feedback and partnership opportunities

Planned Phases

💡 Request a Language: If you'd like to see AI Sentia in a specific language not currently supported, let us know via our feedback form . We prioritize requests based on demand and technical feasibility.

Access to Original Content

You always have the right to access English source content and original articles. Translations are provided as a convenience, not a replacement for authoritative sources. When precision matters, refer to English content or original publisher materials.

Privacy & Data Protection

Language preference is stored locally in your browser (localStorage). No personal data is transmitted to our servers or translation services. We comply with UK GDPR, EU GDPR, and EU AI Act requirements. See our Privacy Policy for complete details.

Reporting Errors

If you identify a translation error that could mislead users or misrepresent source content, please report it immediately via our feedback form . We review all reports within 48 hours and issue corrections when verified.

No Warranty

AI Sentia provides translations "as is" without warranty of any kind. While we strive for high quality, we cannot guarantee 100% accuracy, completeness, or suitability for specific uses. Users accept responsibility for verifying critical information against original sources.