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Translated has announced the winners of the fifth edition of the Imminent Research Grants, advancing independent research at the intersection of language and artificial intelligence. Discover the projects shaping how language technologies influence cognition, society, and global markets, and explore the ideas driving the next generation of AI.

Translation memory alone is no longer enough. AI needs context to deliver consistent, brand-aligned translations that improve over time. This article explores why context-centric orchestration is reshaping the future of localization.

Invited to speak at ai-PULSE 2025, Europe’s premier AI conference, Translated CEO Marco Trombetti focuses on the architecture behind most modern language models and explains why they perform well in many scenarios, yet struggle when precision, accountability, and trust are non-negotiable

Learn how to integrate our translation AI, Lara, into your existing workflows and combine it with language professionals through TranslationOS. This guide outlines integration models, key features, and best practices for managing linguistic assets such as Translation Memories and glossaries to ensure consistent, high-quality translations.

Through the AI and Data-Intensive Applications Access Mode program, a EuroHPC Joint Undertaking program designed to provide industry, SMEs, startups, and public institutions with access to supercomputing resources for AI-driven research, Translated was awarded 200,000 hours of compute time for the Voice for Purpose project.

The latest version of Lara received high praise from professional translators but scored lower on COMET. This contradiction led us to investigate further, and what we found was revealing. In a new report, our Tech Evangelist Kirti Vashee explores why automated scores often fall short in evaluating LLM-based MT.

With the integration of Lara via API, TranslationOS overcomes the limitations of traditional translation memories by enabling full document-level context. Localization managers can now design custom workflows that combine the most reliable AI and professional translation, applying the right level of human review based on the relevance and purpose of each content type.

Our translation AI, Lara, now runs on new hardware co-designed by Translated and Lenovo, a global leader in high-performance computing, specifically built for translation. This setup outperforms leading generic LLMs in the translation task in both quality and speed, unlocking new use cases in localization.

Our Tech Evangelist, Kirti Vashee, explores the critical role of data quality in AI, how quality data drives AI accuracy, reliability, and fairness, and why localization professionals must adopt a data curation strategy to optimize AI-driven workflows.

This year’s report from our research center explores the symbiotic relationship between humans and machines, focusing on cognitive processes and language, and how machines can augment human capabilities. This exploration includes localization activities, technological advances, and studies of cognitive function, highlighting the challenges and opportunities of designing socio-technical systems.

Early this morning, Translated 9 arrived in Cowes (UK) and successfully completed the Ocean Globe Race 2023. By winning the first two legs and dominating the next two before suffering hull damage and resuming twice, Translated 9 took us all on a one-of-a-kind emotional journey and demonstrated the value of determination and resilience.

After overcoming the challenges of Cape Horn and repairing significant hull damage in the Falklands, Translated 9 has set sail today for the fourth leg of the Ocean Globe Race. In a display of resilience, innovation, and collective effort, our crew is ready to face the final part of the competition with a commitment to win.

In this article, we explain the reasons behind our decision to split the additional benefits of using adaptive machine translation with our translators. We also describe our approach to calculating the word count.

Translated has estimated what will happen when machine translation performs as well as the best professional translators. The estimation is based on data about the evolving quality of MT and the increased return on investments when combining professionals with adaptive MT.