Olga Beregovaya

Olga Beregovaya leads AI strategy at Smartling, where she works across translation, data, quality, and safety. Her career in natural language processing spans rule-based systems, statistical and neural machine translation, and large language models; she previously served as VP of AI Innovation at Welocalize and CEO of PROMT Americas.

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Products & media

earley.com

AI Translation, Global Content Strategy, and Why Language Is Harder Than It Looks

An Earley AI Podcast conversation about enterprise translation, multilingual content, language pipelines, and the role of human review.

Media appearance

unite.ai

Olga Beregovaya, VP of AI at Smartling — Interview Series

An interview about multilingual AI, translation quality, model selection, and human oversight in automated localization.

Media appearance

chainofthought.show

Breaking the Language Barrier: Smartling's AI Translation Pipeline

A conversation about translation workflows, retrieval-augmented generation, data curation, and AI quality controls.

Media appearance

smartling.com

Reality Series: MQM Methodology and Translation Quality

A webinar on using multidimensional quality metrics to assess translated content and improve localization workflows.

Event

smartling.com

Turbocharge Translation Quality: The Power of Custom Engine Training

A webinar featuring discussion of custom machine-translation engines, brand alignment, and how to evaluate their impact.

Event

aclanthology.org

What We Want, What We Need, What We Absolutely Can’t Do Without

A conference talk on enterprise users’ needs for machine translation, including quality, domain adaptation, and evaluation.

Writing

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Olga Beregovaya

Products & media

AI Translation, Global Content Strategy, and Why Language Is Harder Than It Looks

Olga Beregovaya, VP of AI at Smartling — Interview Series

Breaking the Language Barrier: Smartling's AI Translation Pipeline

Reality Series: MQM Methodology and Translation Quality

Turbocharge Translation Quality: The Power of Custom Engine Training

What We Want, What We Need, What We Absolutely Can’t Do Without

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