Intento, Inc.

🎉 We’ve published our 8th annual State of Machine Translation report. It analyzes 52 MT engines and LLMs across 11 language pairs and 9 content domains. Get your copy here ➡️ https://hubs.la/Q02zD6Z70 Here’re some key findings: 🎯 LLMs reshaped the MT landscape and now account for 55% of top-performing models 🎯 Quality varies by language and domain, with LLMs excelling in Colloquial, Education, and Entertainment 🎯 Traditional Machine Translation (MT) still outperforms in specific language pairs and domains 🎯 LLMs are less expensive but slower than MT engines 🎯 Open-source LLMs lag behind commercial offerings 🎯 Customization through translation memories, glossaries, and prompt engineering is key to eliminating errors Explore the full report to learn more about the evolving capabilities and potential of LLMs. e2f, inc.

Tired of so much budget going toward post-editing? Check out this video and learn how AI Agents can help. If you’re attending #LocWorld52, stop by our booth №109 to discuss how this technology can boost your success in 2025!

We’ve just shared a case study on how Language Hub improved the employee experience with multilingual Jira tickets for one of our clients, a major gaming company. Check it out to see how we can support your team too! https://hubs.la/Q02VZv2t0

💥 Join our webinar with XTM International to explore how Large Language Models (LLMs) compare to Traditional Machine Translation (MT) systems in terms of quality, adaptability, and cost ➡️ https://hubs.la/Q02VRDlM0 👀 We’ll share what we’ve recently discovered about: • Quality, analyzing where LLMs outperform traditional MT and how both handle errors • Adaptability, comparing how well LLMs and traditional MT handle specialized translations • Cost differences and when LLMs become more cost-effective • We’ll also compare the speed of LLMs and traditional MT for large-scale tasks, discussing current limitations and factors affecting performance. 🚀 Don’t miss this opportunity to hear from industry experts and ask all your questions during the live Q&A session!

At Intento, we’re passionate about linguistic tourism! Our CTO, Grigory Sapunov, recently spent his brief vacation in Shetland. He shared how he used Intento GenAI portal to create an AI agent to translate Shetlandic, a language with only 3,500 native speakers! https://hubs.la/Q02VKQ7f0

👀 Going to LocWorld52 in Monterey next week? If so, stop by Intento's booth #109 to chat about how to enhance your machine translation program and improve post-editing workflows with our AI Agents 🤖 #LocWorld52 LocWorld

Join us today at TAUS for a panel discussion on Questioning Quality and Evaluating LLMs. The panel will focus on building trust in automated language solutions and effective evaluation strategies for multilingual content. We’ll discuss the state of the art in automatic translation quality evaluation and what’s changing as LLMs rapidly take over the language industry. Speakers: Konstantin Savenkov (Intento), Amir Kamran (TAUS), Adam Bittlingmayer (Modelfront), Alex Yanishevsky (Smartling), Ilan Kernerman (Lexicala). Moderated by Dace Dzeguze (TAUS). #TAUS #TAUSmassivelymultilingual

Are you at AMTA today? 👀 Konstantin Savenkov, Intento’s CEO and co-founder, will present the State of Machine Translation 2024 in person. In this study, we evaluated 52 machine translation systems, including 24 LLMs, across 11 language pairs and 9 domains. Get the full report here ➡️ https://hubs.la/Q02RxyVd0. You’ll learn how LLMs are taking over the machine translation market, their strengths and weaknesses, and where older technologies still outperform the new ones. Join us to get your questions answered directly! 💥 #AMTA

We’re expanding our study on using AI to evaluate Machine Translation 🚀 This time, we’ve tested models from OpenAI, Google, Anthropic, and open-source options across three language pairs and eight domains. Our goal is to find how well various Large Language Models perform translation quality checks. We’re measuring how well they match human judgments on error types, severity, and overall quality scores. The results will help create a more efficient quality assessment process. 👉 Join us at AMTA today to learn more from Daria Sinitsyna, our Lead Computational Linguist. You’ll find out which AI models best evaluate machine translation quality across multiple languages and new tips for building a more efficient quality check system. #AMTA

We’ve increased our range of Atlassian solutions and made it easier for everyone to communicate and share knowledge in Confluence Data Center with our new Translator for Confluence. Your team needs to access content every day and when they speak multiple languages it is hard to keep up with the demand for translation. Now, with the Intento Translator for Confluence, when someone writes, searches, and reads Confluence pages or leaves comments, everything automatically translates in real-time, while keeping your terminology, style, and tone of voice. This means that everyone can access and search for content in the language they are most comfortable with, making it easier to work together. Book a demo today to learn more ➡️ https://hubs.la/Q02Rksq_0