It was early 1954 when computer scientists, for the first time, publicly revealed a machine that could translate between human languages. It became known as the Georgetown-IBM experiment: an ...

Translating between human languages is something which artificial intelligence – specifically machine learning – has proven to be very competent at. So much so that the CEO of one of the world’s ...

Speech recognition, executed without mistakes, is the Holy Grail of translation. If we could talk into our smartphones and have vocalized a flawless translation into any language of our choosing, be ...

Today’s language translation apps are like self-driving cars: incredibly useful, promising, nearing maturity, and almost entirely powered by machines. It's astonishing that the technology even exists.

Google Translate has been the most accessible and widespread translation tool for years. However, its inability to accurately translate context is well-documented. Its strengths lie in its quick, ...

Machines’ capability to translate natural language is progressing, but there still is room for improvement. Will machine translators always be inferior to human ones? My answer is no, of course not.

Google wants language translation to sound more natural. Last year, it began moving away from phrase-based machine translation and created an AI-powered system called Google Neural Machine Translation ...

Since launching in 2006, Google Translate has grown to over 500 million users worldwide, translating more than 100 billion words daily. In 2016, the tool supported 103 languages, with 92% of its users ...