Despite some early success and rapid advancements, Neural Machine Translation (NMT) is still in its early days when it comes to deployment in a localization program.
Most B2B marketers starting their outreach would quickly admit they could use some advice. You don’t know what you don’t know, right? With so many theories and strategies out there, it can be hard to pick an approach and gain momentum.
Online chat is exploding in popularity. But it’s not just people talking to each other. It’s people talking to brands, too.
In our work with global brands, we have seen that language quality works best when treated not as a step, but as a layer in localization processes. Maintaining high quality involves activities all along the way, not just at certain steps.
As your brand grows in this digital-only world, the content you have online explodes as well. It’s your FAQs, product descriptions, customer service content, and user-generated content (UGC) such as product reviews. And since being online means you are inherently doing business globally, the amount of translated content is increasing as well.
You’re a localization program manager seeking constant improvement and innovation. You want to improve your program and strive to make changes that create the most impact, but that are also long-lasting. Not sure where to start? Use my framework below to refresh your approach, to rally a team around a cause, or to start your localization journey.[…]
Sometimes immediate interpretation is important: at a conference, a government proceeding, a trial. But simultaneous interpretation (also known as live interpretation) is historically difficult across geographies because of a lack of technology and a lack of qualified resources in each country.
On the surface, it may not be obvious how SC 42, the ISO/IEC JTC1 subcommittee focusing on artificial intelligence standards, would be relevant to globalization and localization, but make no mistake: it’s very relevant. As AI continues to mature both technologically and operationally, and as its applications become more commonplace, the standards[…]
Most of us are familiar with the concept of autonomous cars and how artificial intelligence (AI) technology is likely to make human driving, along with all its inherent dangers, a redundant task. What is less well known is how the capabilities of AI are also growing rapidly in shaping the creation of the written content we consume in our everyday[…]
In May, Facebook announced plans to roll out chat translation in Messenger.