TMS

Before the rise of Translation Management Systems (TMS), there were CAT tools. A CAT (Computer-Assisted or Computer-Aided Translation) tool is software that allows a user to work with bilingual text – the source and the target (translation).

In May, Nimdzi participated in a private demo of SDL’s new enterprise product, SDL Language Cloud. Our initial impression is that this new product represents a strong step away from SDL’s old-fashioned Worldserver and translation management system (TMS) interfaces into an all-new user experience.

In this year’s edition of the Nimdzi Language Technology Atlas, we collected data from providers of more than 700 technology solutions. Analyzed and categorized, this is the only language technology map you will need.

Competition is fierce in the Translation Management System (TMS) arena, with dozens of providers duking it out to win over clients.

Is it possible to auto-select the best MT Engine? Let's take a look at what's out there.

One of the main reasons for implementing machine translation (MT) into localization workflows is that it saves money. And time. This time, let’s focus on money. In particular, cost savings.

About 20 percent of survey respondents confuse TMS for Business Management Systems (BMS). What's the difference and why does it matter?

TMS stands for Translation Management System. However, there’s no exact standard within the translation and localization industry as to what comprises a TMS. Some providers and users of these solutions are adamant that TMS is a system that has management functionality and does not necessarily have Computer-Assisted Translation (CAT) features. But we call any such technology a Business Management System (BMS) since that’s what it does: it helps manage business operations.

Here and there, continuous localization (CL) is everywhere. But exactly how continuous is the approach of your language services provider (LSP)? One can notice a shiny "CL" label sparkling on almost every offer now.

Over the course of Nimdzi Insights’ various research projects, we have consistently found that the one thing (editor’s note: among many, admittedly) that can make or break localization operations, whether on the buyers’ side or on the language services providers’ (LSP) side is the following: