Chain of Thought | AI Agents, Infrastructure & Engineering Breaking the Language Barrier: Smartling's AI Translation Pipeline | Olga Beregovaya
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Apr 23, 2025 Olga Beregovaya, VP of AI at Smartling, dives into the captivating world of AI and translation. She discusses how AI has evolved from rule-based systems to sophisticated models that tackle language barriers. Key challenges like English-centric biases and the unpredictability of AI outputs are explored. Olga highlights opportunities in specialized language models and innovative workflows that enhance translator productivity. The potential for multilingual multimodality raises exciting possibilities for the future of global communication and more nuanced translations.
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Translation Architecture Innovations
- Minimizing computation cost and latency unlocks practical AI translation at scale.
- RAG architectures integrating curated linguistic assets drive better, efficient translation outcomes.
Strengths of RAG Architectures
- Combining generative AI with retrieval enhances reliability, reduces hallucinations, and improves translation accuracy.
- Knowledge graphs paired with generative models provide structured, trustworthy external knowledge.
Vectorization's Crucial Role
- Accurate vectorization is critical for AI to process different languages properly.
- Poor vectorization in underrepresented languages leads to unpredictable and unreliable translation results.