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What are 5 qualities to put at the top of your list when considering which translation solution is right for your business?🤔 Read this article from Smartling CEO Bryan Murphy to find out. 👀 https://bit.ly/4f78hMI

LocWorld Monterey is on the clock ⏰ You're not gonna want to miss this roundtable with Smartling's VP of AI, Olga Beregovaya. This session will cover all the AI bases: 🔮 Integrated AI: Implementations and Future Directions 🧠 Intelligent Quality Control and Human Intervention 🌎 Deep Learning and Multilingual Content: Enterprise-level Applications ➡️ AI beyond LLMs 🤝 Identifying Ethical AI Tools as Part of Procurement Will we see you there? 🔗 Learn more: https://bit.ly/4873gRY

We’re thrilled to welcome David Paré as Smartling’s new General Manager of Life Sciences! With 20+ years of experience in the translation industry, Dave will be instrumental in connecting global life sciences companies with Smartling’s transformative AI-powered translation solutions. With Smartling cutting translation delivery times by 50%, life sciences companies can now meet global demands without compromising on quality, cost, or speed. Dave will lead efforts to help companies in this space implement our industry-leading solutions, enabling them to deliver life-saving treatments to market faster and make a greater impact on patients worldwide. Welcome to Smartling, Dave! We couldn’t be more excited to have you on board as we continue pushing the boundaries of what’s possible in translation. 🔗 Learn more: https://bit.ly/4044RG4

🚨 Attention loc folks - hot job alert! Our partner H&M is looking for a localization professional to support their mission of making their global presence locally relevant 🌍 Apply below or share with your network to spread the word🗣️

It's almost tiiime⏰ Are y'all ready to learn how to earn the resources you deserve?☝️ It's not too late to register for today's webinar with Global10x Founder Kevin O'Donnell and Smartling Director of Customer Success Ryan Soos, where you'll learn actionable strategies to prove the ROI of your localization efforts. 🔗 Register here: https://bit.ly/489kJsR

Earlier this month, our team traveled to Chicago for the 16th biennial conference of the AMTA Association for Machine Translation in the Americas (AMTA 2024)🏙️ They left the city inspired by all the advancements in AI-powered solutions that are breaking the bounds of what’s possible in translation tech💥 Here are Smartling’s key takeaways from AMTA 24 🔑 🪴 Adaptive TM With the rise of LLMs, TM leverage is higher than ever. We can now continuously refine TMs to deliver better translations and adapt auto-generated ones. This is a space where Smartling is ahead of the curve (shoutout to our AI Toolkit 🗣🧰) , and it’s clear that Adaptive TM is the future of Fuzzy Match Repair and automated post-editing (APE). 📖 Style guides, reinvented Style guides were always an important part of the translation process, and they will continue to be in the future. The question is - in what format? Keep an eye out for transformations in style guide formatting and structure to match the upcoming wave of automated translations👀 🤖 Prompt Engineering on the Rise Prompt engineering was identified a year ago as a new skill in high demand. A year later, we are still discovering best practices for prompt engineering for different use cases and across models. 🎯 Quality Estimation (QE) is quintessential The industry is moving fast on QE, and the key will be how companies start integrating the quality estimation into smart routing and other automation steps in their workflow. 📄 Document-Level Translation We see translations at a document level playing a huge part in the future of translations, and in our opinion, any TMS worth their salt will be looking to integrate this into their system. The question then becomes: where does this leave us with TM design, storage and leveraging? 👋 Out with the old metrics, and in with the new While BLEU remains a common go-to metric for a lot of evaluation tasks, it’s clear that more sophisticated metrics like COMET are more applicable for evaluating the modern state of translation engines. The sky's the limit when it comes to finding the best metric to automatically measure quality translations. 🤼 Choose your fighter: NMT or LLMs The lines between Neural Machine Translation (NMT) and Large Language Models (LLMs) are blurring. While NMT remains the go-to for most translation tasks, LLMs are on the rise for a growing number. We're seeing great potential in experimenting with hybrid approaches, and a human evaluation of NMT, AutoML, and LLMs might help us better understand how to strike the right balance. We’re excited to continue evaluating these trends and pushing the envelope in terms of what’s possible with AI-powered translations💡 Shoutout to the team for these insights! Jennifer W., Benjamin Loy, Alex Yanishevsky, Mei Chai Zheng, Anastasiia Yashchenko, Jason Rauchwerk, Marina Sánchez Torrón 🗣️ #AMTA2024