Microsoft Translator surpasses the 100 mark for its language milestone

by Don Sharpe
Don Sharpe
Don Sharpe
Don has been writing professionally for over 10 years now, but his passion for the written word started back in his elementary school days. His work has been... read more
Affiliate Disclosure
  • Microsoft Translator has added 12 new languages bringing it to a total of 103.
  • The AI-based text translation service now offers over 100 real-time translation to its 5.66 billion users.
  • The latest update can be downloaded on the translator app on both iOS and Android.

Microsoft has crossed over the 100 milestone in support for the new languages and dialects. The milestone enables them to offer real-time translation and supports their mission to communicate to as many people as they can reach. 

The machine translator was developed over 20 years ago and the systems have been evolving over time with numerous upgrades. 

New entrants

Dhivehi, Mongolian (Cyrillic and Traditional), Tibetan, Bashkir, Georgian, Macedonian, tatar, Turkmen, Uzbek, Krygyz and Uyghur are some of the latest entrants that made this milestone possible.

Microsoft received a new update that brings support for 12 new languages and dialects. Microsoft has announced that its AI-based text translation service can now offer real-time translation in more than 100 languages, and it has 5.66 billion users worldwide.

More fluency and accuracy

Microsoft details that the Z-code AI model incorporated brings forth more accuracy and fluency to the translation service. The tool is free and thousands of people and organizations use it. The aim is to break the language barriers and enhance communication. By translating text, documents, voice and images, Microsoft Translator brings users a step closer to breaking language barriers.

The latest update is available for download on both Android and iOS on the Microsoft Translator app. The languages are supported by the Bing Translator service and Microsoft Office.

The biggest challenge has been to gather substantial data to successfully train and produce a translation  model.

What is your encounter with Microsoft Translator? What has been the level of accuracy achieved? Let us know in the comment section below.