It is a given nowadays that when organizations expand internationally or consolidate their existing global presence, they need to invest in localization. This does not simply mean linguistic resources but also technological investments that contribute to translation productivity among other efficiencies.
On October 11, 2022, Google announced the launch of a new AI-powered cloud service called Translation Hub. The announcement instantly made waves in the language services industry and beyond, so Nimdzi took a closer look to see what’s really behind the new offering from the tech giant.
Translation management systems (TMS) are one of the oldest language technologies out there. The first solutions appeared in the 80s with the emergence of brands such as STAR Transit and Trados, and the segment has been booming since 2010. In 2022, there are well over 160 technologies of this type on the market.
The Nimdzi Language Technology Atlas maps over 800 different technology solutions across a number of key product categories. The report highlights trends and things to watch out for. This is the only map you will ever need to navigate your way across the language technology landscape.
There are nine categories of language technology and each plays an important role for a mature localization program. There is no better guest to have on the show to discuss this complex landscape than Yulia Akhulkova. Yulia Akhulkova is the foremost expert in the field of Language Technology categorization and evaluation. She is the lead […]
The Nimdzi Language Technology Atlas maps over 700 different technology solutions across a number of key product categories. The report highlights trends and things to watch out for. This is the only map you will ever need to navigate your way across the language technology landscape.
A translation memory (TM) is meant to provide cost and time efficiency as well as higher consistency across translated content. But the quality of a TM is a direct reflection of how well it is managed.
Evaluating and migrating between translation management systems (TMS) is a lot of work and there are always reasons not to do it. It might be the fear of moving away from a familiar TMS, even if it isn’t fit for purpose, the impact on other teams and external stakeholders, or the prospect of the time, technical work, and costs involved. The number of TMS solutions on the market can also make the decision far from simple and straightforward.
What's going on in the world of language technology? Nimdzi has organized a series of panel discussions to cover some of our favorite topics in the space.