Do you remember the last time when people were NOT talking about machine translation (MT)? We don't. Wherever you go, there’s someone talking about MT. With few exceptions, it seems like the only major disruptors in our industry over the past few decades have been breakthroughs in language technology.
We all know how quickly the video game industry has grown into a worldwide market. We also know how important localization and cultural adaption is for companies seeking to go global. But what is the best way to integrate language technology into game development? What technologies are available and which ones are the best?
Some machine translation providers are holding out hope for MT systems that adapt to document context. Could this development eliminate the need for custom MT engines? Will context-enabled MT help MT achieve human parity? Will we still need to customize a few years from now? Let’s discuss further.
Boostlingo has just announced the release of three new features that will go live on July 24, 2020. The most notable feature is Boostlingo’s new Zoom integration.
After a slow entry into the language technology space, India promises an interesting journey moving forward, as user preferences increasingly lean towards native language content.
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.
Now is an exciting time for media localization, with technologies improving across the board making automated subtitling and dubbing an actual possibility. With machine dubbing, we're still far from having automated voices that sound like real human actors expressing emotions and delivering high-quality acting performances.