Tutorials: Custom AI | Revolutionize Your Language Assets: Introducing Automated Asset Curation
Automated asset curation in localization has arrived, and it changes everything about how enterprises manage their linguistic resources. Phrase has just released a powerful new capability inside Custom AI that lets you curate translation memories, termbases, and MT glossaries in hours instead of months, at a fraction of the traditional cost.
Managing linguistic assets manually has always been one of the most expensive and time-consuming challenges in the localization industry. A translation memory holding 300 million segments could cost around 70 million EUR to clean manually. That kind of barrier has left most organizations stuck with noisy, low-quality data that quietly degrades both human and machine translation output. Phrase Custom AI tackles this directly by automating the entire curation process: removing low-quality segments, eliminating duplicates and near-duplicates, filtering out non-translatables, and flagging content in unexpected languages. Using an MQM framework-based quality scoring system, it rates translation quality at the segment level automatically, so cleanup that once took months now takes hours.
This matters even more as large language models become central to localization workflows. Phrase NextMT and Phrase Next-Gen MT, the LLM-based machine translation engine, both rely on high-quality linguistic assets to produce translations that reflect a specific brand voice, tone, and terminology. Internal research shows that well-maintained linguistic assets can improve AI model output quality by up to 10%. Curated translation memories also power adaptive translation, which dynamically adjusts MT output in real time using TM matches, and custom MT training, which builds domain-specific models tailored to your content type and enterprise requirements.
This release sits at the heart of Phrase's broader hyper-automation vision: an approach where AI-driven tools continuously optimize the localization process, from translation generation through quality evaluation and review, all guided by clean, curated, customer-specific language data.
*What You'll Learn:*
What linguistic asset curation is and why it is critical for translation quality and consistency
How Phrase Custom AI automates the removal of noisy, duplicate, and low-quality TM segments
How curated assets improve the output of Phrase NextMT, Next-Gen MT, and adaptive translation
Why LLMs make high-quality translation memories and termbases more valuable than ever
The real cost of manual curation and the time and budget savings automated curation delivers
How automated asset curation fits into Phrase's hyper-automation and custom AI roadmap
If you are managing large-scale localization programs and want your MT and AI tools to perform at their best, drop a question in the comments below. We read every one.
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