Localisation

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...

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...

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...

‘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 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...

AI translation and localization metrics have quickly become the backbone of decision-making for language service providers aiming to blend speed, accuracy, and efficiency. With artificial intelligence now deeply embedded in workflows, it's easy to assume that...

The use of AI in language analysis is quickly becoming one of the most important developments in the language industry. From multilingual sentiment detection to advanced syntax parsing, artificial intelligence is reshaping how professionals interact with human...

AI-driven language services are evolving quickly, and with them, the methods for measuring multilingual content quality. As volumes increase and deadlines shrink, traditional quality control methods are starting to show their limits. Enter quality estimation scores -...