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 […]
Instructional videos are a big deal. When was the last time that you went to YouTube to watch a video on how that smartphone or that car or that fancy vacuum cleaner worked before deciding on buying it? Or comparing different brands to see which one spoke to you the most? We bet it wasn’t that long ago!
We all know that human input is still invaluable when reviewing localized content. But with ever-improving localization technologies, where does a manual approach to auditing matter most?
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).