Publication by Belén Agulló García.
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!
This is not surprising. Instructional videos are much more effective and to the point than long and complex manuals. Consumers prefer to watch a short video that helps them quickly understand how the product works. Instructional videos are also a great way to promote and market a brand. A commercial ad doesn’t usually show how the product works, but tries to tell a story to connect with the buyers. That’s great, but it doesn’t tell you how to properly clean your coffee machine.
The translation technology landscape is continually evolving, and it’s quite impressive to see just how many tools are out there right now. Yet, given the sheer number of available platforms, it can be quite daunting and confusing to shop for a solution, and you may be worrying whether you have to spend a fortune to get what you need. The good news is that with a wide variety of tools, comes a wide variety of options — for all budget levels.
When it comes to managing localization from the client side, the tendency is to rely on two main pillars: language support and translation technology. The standard approach in the industry is to assign these key areas to two separate parties, usually outside the organization.
As you begin to expand your target audience to include speakers of languages other than just English, you may quickly find the road ahead of you is much rockier than you had originally anticipated. But don’t fret: creating impactful, lasting multilingual content is a long game, which requires developing the right strategy.
It’s already been six years now since Google revealed that Google Translate processes 146 billion words a day — three times more than what all the professional translators in the world combined can do in a month. That was 2016 and things haven’t really slowed down in the machine translation (MT) universe since.