Multilingual UX design involves far more than swapping out words from one language to another; it’s a careful, cross-cultural balancing act. As digital products reach new audiences across the globe, design teams are discovering that language is only one part of the...
Localisation
Exploring The Use Of AI Translation Memory Cleanup In Language Management
AI translation memory tools have become indispensable for language service providers and localization teams under pressure to deliver faster, cleaner, and more accurate multilingual content. As teams scale across borders and timelines shrink, the quality and...
How Language Experts Are Impacted By AI Adoption In Language Management
AI adoption in language management is accelerating, and it’s prompting a significant rethink of roles, skills, and professional expectations. For translators, interpreters, and language professionals, it’s redefining workflows, reshaping expectations, and redrawing...
Has AI Changed Project Management In Language Services And Management Forever?
Project management in language services and management is no longer what it used to be, and that’s not a bad thing. The steady march of artificial intelligence into multilingual content workflows, quality assurance, and project scheduling has prompted a shift so...
Navigating the Language Tech Landscape: Insights from MemoQ’s Peter Reynolds
In the ever-evolving realm of language tech and management, thought leadership is paramount. This week on our Top Voices podcast, we spoke with Peter Reynolds, CEO of MemoQ, to explore the dynamic landscape of language technology and the innovative paths MemoQ is...
Metrics For Evaluating Machine Translation Using LLMs
In the race to produce high-quality translations at scale, machine translation using LLMs has become a game-changer for language professionals and teams. With great power comes great output, or so it seems. While LLMs can produce translations that sound impressive at...
Understanding The Role of Generative AI In Language Management
Generative AI in language management is actively reshaping how multilingual content is created, adapted, and managed across the global language industry. From real-time translation and automated workflows to AI-generated brand content, the rise of large language...
The Convergence Of AI & Natural Language Processing In Language Management
Natural language processing in language management is moving from the margins to the mainstream. Once viewed as a niche application within the broader AI field, it’s now central to how companies translate, localize, and communicate across markets. By merging AI with...
5 Potential Uses For An LLM Translation Tool
‘LLM translation tool’ is a phrase that’s quickly finding its way into strategy sessions across global organizations, and for good reason. According to recent research by DeepL, 61% of US businesses have been forced to delay or limit global expansion plans as a result...
UX Content And Localization: Why They Belong Together
UX content and localization might seem like two sides of a product strategy - one shaping the content, the other adapting it to local markets - but when they operate together, they do far more than co-exist. They elevate each other. Think of them like the stage and...










