A team of Microsoft researchers say they’ve created the first machine-translation system that can translate sentences of Chinese news articles to English with the same accuracy as humans.

The work — described in a Microsoft blog post on March 14 — involves using deep neural networks, a method of training AI systems, to help them deliver more realistic and accurate translations. It also employs a number of different AI-training methods, including dual learning, deliberation networks and joint training to try to mimic how humans learn.

The group says they’ve achieved human parity on a test set of news stories called newstest2017, which was developed by industry and academic partners and made available at a research conference last fall. The test set included about 2,000 sentences from a sample of online newspapers that had been professionally translated.

Recently, Microsoft researchers also claimed human parity in a conversational speech recognition task. (IBM and Microsoft have been battling for the crown on that front over the last several months.)

Microsoft’s latest AI milestone was achieved by three research teams in Microsoft’s Beijing and Redmond research labs working together. This is a research effort at this point and Microsoft hasn’t released results of testing the system on real-time news stories.

Microsoft is making available the research paper discussing how it achieved human parity on automatic Chinese-to-English news translation and a site where users can try out the research translation system.

There’s no word on when, how or if Microsoft plans to bring this work to its Microsoft Translator service, as this is still a research project, at this point.