Localisation

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 -...

Language testing services are the backbone of delivering high-quality multilingual content, ensuring translation and localization make sense, interfaces function smoothly, and cultural nuances are respected. But here’s the challenge - every detail matters. A...

Hyperautomation in language services is transforming the industry, enabling organizations to streamline processes, reduce costs, and enhance service quality. By leveraging advanced technologies such as artificial intelligence (AI), machine learning (ML), and robotic...