The solutions to address the impact of a global pandemic on recording studios requiring the presence of actors in recording booths were twofold: software and hardware.
Using high-precision and high-performance QA tools not only helps improve the quality of a text but can also speed up the turnaround time of localization projects, and can in turn lead to cost savings.
The Nimdzi 100 is one of our flagship publications. It includes a ranking of the top 100 LSPs by revenue, a watchlist of large players that don’t disclose their revenues, and a detailed overview of the size and state of the language services industry. The Nimdzi 100 is widely considered an industry standard and is read by tens of thousands of people in the translation and localization space and beyond. LSPs, localization buyers, investors, savvy job seekers, and analysts will benefit from this free resource.
In December 2020, Nimdzi was given an opportunity to test a brand new product — Spotlight. It is developed by Intento to support machine translation (MT) curation, enabling quick analysis of the MT training results. This product is intended mainly for those who train custom MT models and thus regularly face the task of evaluating MT quality.
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.
New challenges brought about by doing business in our digital world demand new solutions. Some constants still remain, however, without which a text and the quality of its translation would be less than satisfactory. One good example of such a constant is terminology and terminology management. Terminology management includes a number of different aspects, but […]
We recently introduced you to the two- (or five-) second rule, which is essentially the reaction or decision-making time a linguist should spend judging whether to post-edit a segment of machine translation (MT) output or to retranslate it. This rule of thumb aims to help increase the linguist’s productivity when working with MT.
If you’re a driver, you’ve probably heard of the two-second rule. Staying at least two seconds behind any vehicle is considered a rule of thumb for drivers wanting to maintain a safe following distance at any speed. The two seconds don’t represent safe stopping distance but rather safe reaction time.
On June 10, 2020, we published our Nimdzi Language Technology Atlas, the comprehensive resource that maps hundreds of language technology solutions from all around the world. Two months later, after receiving and reviewing feedback from more than three dozen companies who submitted requests to add new tools or change their categorization, we released an update to the infographic on August 27.
Webinar: New(ish) applications of AI in content creation and localization When people think of AI use cases in content localization, the first thing that comes to mind is MT for structured content. But there are many other use cases for AI in and around translation that are rapidly gaining traction. In order to stay ahead […]