Despite much research on machine translation (MT) evaluation, there is surprisingly little work that directly measures users' intuitive or emotional preferences regarding different types of MT errors.

There's a new open source machine translation framework, but Google with its trove of language data could have the upper hand Researchers have released an open source neural network system for ...

The Microsoft Translator team has given up and concluded that "no matter how many machines you throw at translation, it is still impossible to get the correct, error-free, contextually accurate ...

Most people who use AI-powered translation tools do so for commonplace, relatively unimportant tasks like understanding a single phrase or quote. Those basic services won’t do for an enterprise ...

Machine learning has made its way into nearly every industry, and game localization is no exception. Software providers claim that their machine translation products mark a new era in localization, ...

Forbes contributors publish independent expert analyses and insights. I write about the broad intersection of data and society. Imagine a world without language barriers, where anyone can access ...

NEW YORK & SAN JUAN, Puerto Rico--(BUSINESS WIRE)--Translations.com, the technology division of TransPerfect, the world’s largest provider of language and technology solutions for global business, ...