Discover ten practical localization workflow automations from CMS integration to custom MT training that reduce errors, streamline processes, and help teams scale effortlessly. Learn how automation can revolutionize your localization strategy

Discover how machine translation post-editing enables global teams to scale multilingual content using AI translation, automated workflows, and human linguistic expertise.

AI is transforming multilingual content, but many teams still struggle to measure whether it delivers real value. This Phrase guide outlines a practical approach to evaluating AI across time, cost, and quality, helping organizations move from scattered metrics to confident, business-aligned decisions.

Large Language Models (LLMs) are reshaping translation by enabling context-aware, dynamic adaptation beyond traditional NMT. They process entire documents, follow prompts, and support real-time customization—allowing localization teams to build flexible, scalable workflows optimized for both quality and efficiency.

As GenAI reshapes enterprise translation, legacy quality metrics fall short. This post explores new methodologies—from Auto Adapt evaluations to LLM-as-a-judge—to assess translation accuracy, consistency, and fit-for-purpose at scale.

See how Phrase and DeepL work together to turn fast machine translation into quality, production-ready content. This blog highlights five key capabilities—from automation to AI review—that help teams scale MT without sacrificing control.

Learn how localization teams are moving from LLM experimentation to operational use. In this webinar recap, we explore practical ways to generate, adapt, and evaluate multilingual content with AI—without sacrificing brand consistency or control. Featuring insights and live demos from Phrase’s Semih Altinay and Miklós Urbán.

“Your threshold settings are more than just numbers; they are a reflection of your automation mindset.”

Discover how modern Machine Translation boosts speed, scale, and quality in global content workflows—complementing Translation Memories and reducing costs.