I aim to identify and analyze the reasons behind the race to the bottom that is putting a lot of pressure on our beautiful industry, and brainstorm publicly about the actions we can or should take to secure a future where technology will undoubtedly play an even more prominent role, but where human experts reclaim ownership over how multilingual content is architected and delivered — and get proper recognition for it.

As a translator by education speaking four languages, with more than a decade of LSP-side experience and a track record of designing enterprise localization programs, I believe it's my responsibility to keep this conversation going and to address the elephant in the translation room.

What was planned to be a brief LinkedIn post quickly grew into a full article, and has ultimately resulted in an open letter to the language industry. The central idea: The technology isn't the problem, our way of implementing it is.

AI dubbing has evolved from a services to a product market, it's ready to attack typical human services territory such as TV broadcasts, and it has the resources to do so.

There's one specific buy-side localization initiative that has long been under the radar but deserves special attention: Red Hat Training.

In this post, we delve into the transformative stages that have defined the last decade for LSPs.

In this article we discuss five steps that LSPs need to take into account on the road to a successful machine translation program.

Discover what the current translation technology market has to say about the in-context possibilities for a number of file formats.

In this article we discuss best practices for software developers as well as translation teams to prepare software strings for localization.

Find out how the DITA standard allows to set up a special collab between tech writers and localization teams to tackle terminology issues.

Find out how the prep work of a complex Excel document can be reduced to a couple of minutes using regular expressions.

What’s the business in MT after all?

Discover how you can translate thousands of quality words in just a couple of minutes despite the relatively complex file format.

There is one particular file format that we consider to be challenging for localization: Asciidoc.