TAUS provides solutions for AI-driven content quality assessment, language data services, and NLP consultancy, self-described as experts in translation automation.

TAUS

TAUS | 13,978 followers on LinkedIn. Experts in translation automation since 2004. | We enable businesses to reach the highest level of efficiency and trust in global communications and customer support. We do this by offering a unique combination of NLP consulting, language data and a quality estimation software solution.

Rose Lockwood

Localization Consultant, Localization Career Advisor, and Rock Singer

Aki Ito

Jaap Van Der Meer

Product Manager at TAUS

David Koot

Milengo achieved new efficiency by integrating the TAUS Estimate API, enabling faster, more accurate translations with fewer manual checks. Discover how Milengo achieved 20-50% savings by reading the full case study: https://lnkd.in/d9-U8unf

AI Insights: Understanding QE Scores 📊 Here’s another example of how the TAUS Estimate API catches even the smallest errors that others might miss! Read more in the slides below. 🔍 Curious to see it in action? Try our Free Demo today: https://www.taus.net/ #Translation #Localization #MT #LLM #QualityEstimation #LanguageData

TAUS is #hiring a Junior NLP/Data Engineer in Amsterdam!

Dace Dzeguze

🎉 A huge thank you to everyone who attended and contributed to the success of our latest conference! The TAUS team is deeply grateful for all of your presence, knowledge and insights. We can’t wait to see you at the next one—let’s continue driving innovation and excellence together! #TAUSABQ2024

The TAUS 2024 Albuquerque conference was the best I’ve attended so far. So rich in content that one can barely resist the temptation of writing a 20-page treatise and risk sounding like an LLM. But resist I did and in this 100% human-written article, I distilled my thoughts into three key takeaways that I found most important. A huge thank you to the organizers, and especially Anne-Maj van der Meer and Jaap Van Der Meer , for curating such an all-star event. It was a pleasure exchanging thoughts with industry experts and illuminati: Renato Beninatto , Konstantin Dranch , Hadar Shemtov , Sako Eaton , Jon Lavine, Jose Palomares , Arle Lommel , Jean-Francois Lymburner , Erik Vogt , Richard Sikes , Olga Beregovaya , Alex Yanishevsky , Scott S. , Andrew Miller , Konstantin Savenkov , Wayne Bourland , Georg Kirchner , Jochen Hummel , Cecilia Piaggio , Juan Rowda , Manuel Herranz , Grant Straker , Oscar Straker , Véronique Özkaya , Eva Gross , Alessandro Fusacchia , Ann Huehls , Ludmila Golovine , Jonathan Cohen , Adam Youngfield , Matthew Hardy , Philip Delaney , and more. Special mentions go to Veronica Hylák , who took me into the NM desert to search for petroglyphs, and to Marina Lee with whom I turned out to share not just a name but an entire worldview. #TAUS2024 # Localization #GenAI #LinguisticAI

Marina Pantcheva, PhD

Our CEO Jaroslaw (Jarek) Kutylowski took the stage at the TAUS Massively Multilingual AI Conference Albuquerque last week 🚀 Jarek participated in a dynamic panel exploring the evolution of translation technology and shared insights on DeepL’s growth and AI innovation with TAUS founder Jaap Van Der Meer in a fireside chat. Thanks for having us, TAUS—exciting times ahead for AI and translation! ⭐

DeepL

🎤 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬 𝐟𝐫𝐨𝐦 𝐓𝐀𝐔𝐒 2024! Our Co-CEO, Véronique Özkaya attended, TAUS 2024 last week and also joined a panel of CEOs sharing their thoughts about the latest AI and language technology trends. Here are some of her key takeaways from TAUS: 👉 𝐒𝐡𝐢𝐟𝐭 𝐟𝐫𝐨𝐦 𝐃𝐚𝐭𝐚 𝐐𝐮𝐚𝐧𝐭𝐢𝐭𝐲 𝐭𝐨 𝐐𝐮𝐚𝐥𝐢𝐭𝐲: Speakers emphasized that AI's evolution is now more about using quality data rather than sheer volume. Synthetic data is becoming more accepted, provided it's used correctly, to address data gaps, especially in low-resource languages. 👉 𝐍𝐮𝐚𝐧𝐜𝐞𝐬 𝐢𝐧 𝐀𝐈 𝐟𝐨𝐫 𝐋𝐨𝐰-𝐑𝐞𝐬𝐨𝐮𝐫𝐜𝐞 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬: AI systems are struggling to handle nuances in languages with fewer resources. Building robust AI models for these languages requires not just data but deep linguistic expertise and human evaluation to ensure high-quality outcomes. 👉 𝐂𝐨𝐧𝐯𝐞𝐫𝐠𝐞𝐧𝐜𝐞 𝐨𝐟 𝐀𝐈 𝐚𝐧𝐝 𝐋𝐢𝐧𝐠𝐮𝐢𝐬𝐭𝐢𝐜𝐬: Experts like Jonathan Cohen from NVIDIA highlighted the need for a blend of computational linguistics and mathematics expertise to drive AI innovations. A key challenge discussed was maintaining alignment—ensuring that AI models reflect ethical behavior, especially across multiple languages and contexts. 👉 𝐓𝐡𝐞 𝐑𝐨𝐥𝐞 𝐨𝐟 𝐇𝐮𝐦𝐚𝐧 𝐅𝐞𝐞𝐝𝐛𝐚𝐜𝐤 𝐢𝐧 𝐀𝐈: Discussions revolved around how linguists and translators play a crucial role in refining AI outputs. Human-in-the-loop processes ensure that creativity and decision-making are not "flattened" by AI, ensuring higher accuracy and cultural sensitivity. Humans still need to be at the helm. 👉 𝐀𝐈 𝐢𝐧 𝐒𝐩𝐞𝐞𝐜𝐡 𝐑𝐞𝐜𝐨𝐠𝐧𝐢𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐓𝐫𝐚𝐧𝐬𝐥𝐚𝐭𝐢𝐨𝐧: Innovations like Whisper have significantly reduced the cost of speech recognition, while multi-layer AI models are advancing in areas like transcreation and speech synthesis. However, there is still much work to be done to scale AI's effectiveness across diverse languages and communication modes, including sign language interpretation. A huge thanks to all the speakers and attendees for the thought-provoking discussions! #AI #Localization #Linguistics #DataQuality #EventHighlights #TAUS2024

Summa Linguae Technologies

The TAUS team thanks all the attendees who contributed to the Massively Multilingual AI Opera in Albuquerque last week.

Feeling very grateful this morning to have had the opportunity to attend the TAUS Massively Multilingual AI conference in Albuquerque this week. Many thanks to Jaap Van Der Meer , Anne-Maj van der Meer , Dace Dzeguze , Amir Kamran , and Lahorka Nikolovski for the great program they put together, Marco Trombetti and the folks at Translated for hosting the networking dinner, and presenters and attendees too many to list for all the stimulating discussions! I left the event with enough inspiration to last for several careers.

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