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Microsoft AI translates Chinese to English like humans

The researchers taught the system to repeat the process of translating the same sentence over and over

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Microsoft
Microsoft's new Surface products include 1st-ever headphones. Wikimedia Commons
  • Microsoft creates a new kind of AI
  • This can translate Chinese to English just like humans
  • The translator makes little mistakes

A team of Microsoft researchers, including one of Indian-origin, has created an Artificial Intelligence (AI)-powered machine system that can translate sentences of news articles from Chinese to English with the same quality and accuracy as humans.

Researchers from the company’s Asia and US labs said their system achieved human parity on a commonly-used test set of news stories — called “newstest2017” — that was released at a conference recently, a blog post said late on Wednesday.

Microsoft acquired the start-up PlayFab. Pixabay
This Ai can expertly translate Chinese into English. Pixabay

According to Arul Menezes, an IIT-Bombay alumni and Partner Research Manager of Microsoft’s machine translation team, the team set out to prove that its systems could perform about as well as a person when it used a language pair — like Chinese to English — for which there is a lot of data.

“Given the best-case situation as far as data and availability of resources goes, we wanted to find out if we could actually match the performance of a professional human translator,” said Menezes.

To ensure the results were both accurate and at par with what people would have done, the team hired external bilingual human evaluators who compared Microsoft’s results to two independently produced human reference translations.

“Hitting human parity in a machine translation task is a dream that all of us have had. We just did not realise we would be able to hit it so soon,” said Xuedong Huang, Technical Fellow in charge of Microsoft’s speech, natural language and machine translation efforts.

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To reach the human parity milestone on this dataset, three research teams in Microsoft’s Beijing and Redmond, Washington, research labs worked together to make the system more accurate.

“Much of our research is really inspired by how we humans do things,” said Tie-Yan Liu, Principal Research Manager with Microsoft Research Asia in Beijing.

The team used dual-learning method. Every time they sent a sentence through the system to be translated from Chinese to English, the research team also translated it back from English to Chinese.

Microsoft Kaizala
The accuracy rate is high too. Wikimedia

That’s similar to what people might do to make sure that their automated translations were accurate, and it allowed the system to refine and learn from its own mistakes. Dual learning, which was developed by the Microsoft research team, can also be used to improve results in other AI tasks.

Another method, called deliberation networks, is similar to how people edit and revise their own writing by going through it again and again. The researchers taught the system to repeat the process of translating the same sentence over and over, gradually refining and improving the response, Microsoft said. IANS

Next Story

Microsoft Lays AI Sensors for Smart Farming, Cutting-edge Healthcare in India

"The role of AI will only get bigger for both agriculture and healthcare sectors in India. The seeds are now sown," Maheshwari added

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Microsoft
Logo of Microsoft outside it's office. Pixabay

China, the world’s biggest agricultural producer, is leading the race when it comes to empowering farmers with Artificial Intelligence (AI)-driven technologies.

The aim is clear: To help the community digitally record information to cut costs and increase yields — with just a smartphone in their hands as AI leveraged Cloud computing to make sense of the data for farmers.

India has now embarked on a journey to bring AI sensors into the fields.

For Anant Maheshwari, the company’s India President, Microsoft has begun empowering small-holder farmers in India to increase their income through higher crop yield and greater price control.

“We are working with farmers, state governments, the Ministry of Electronics and Information Technology (MeitY) and the Ministry of Agriculture and Farmers Welfare to create an ecosystem for AI into farming,” Maheshwari told IANS.

In some villages in Telangana, Maharashtra and Madhya Pradesh, farmers are receiving automated voice calls that tell them whether their cotton crops are at risk of a pest attack, based on weather conditions and crop stage.

“There are companies that serve equipments and capabilities for farmers. We are working with most of the stakeholders, like generic crop protection and seeds company United Phosphorus Ltd and engineering conglomerate Escorts, to create better AI-based models for farming in the country,” informed Maheshwari.

With United Phosphorus, Microsoft is working on providing front-end capabilities for farmers.

Escorts is working with Microsoft for its Cloud and AI technology enabling precision agriculture capabilities to help farmers make informed decisions and get more from their farms.

In collaboration with the International Crop Research Institute for the Semi-Arid Tropics (ICRISAT), Microsoft has developed an AI-Sowing App powered by Cortana Intelligence Suite including Machine Learning and Power BI.

The app sends sowing advisories to participating farmers on the optimal date to sow. The farmers don’t need to install any sensors in their fields or incur any capital expenditure. All they need is a feature phone capable of receiving text messages.

Representational image.
Representational image. Wikimedia Commons

After laying the initial infrastructure for smart agriculture, Microsoft has also taken further steps towards cutting-edge health care with the help from AI-based “Intelligent Cloud” and “Intelligent Edge”.

Nearly three million heart attacks happen in India every year and 30 million Indians suffer from coronary diseases.

In a novel effort to predict the risk of cardiovascular disease (CVD) among the Indian population, Microsoft India and Apollo Hospitals have launched the first-ever AI-powered heart disease risk score API (application programme interface).

It provides the capability of applying ML and AI to cardio-vascular health records to develop an Indian-specific heart risk score.

With the new heart risk score for India, Apollo Hospitals’ AI model helps gauge a patient’s risk for heart disease and provides rich insights to doctors on treatment plans and early diagnosis.

“This shows how AI-driven models can make a big difference and help the doctors in a country where health care needs.

Also Read- Apple Reselling iPhone SE Devices in US

The company has also applied AI to devices for early detection of diabetic retinopathy to prevent blindness.Microsoft India also announced a partnership with SRL Diagnostics to expand the “AI Network for Healthcare” to pathology to detect cancer.

Dr Devi Prasad Shetty, Chairman and Executive Director of Narayana Health, has performed over 15,000 heart operations. His hospital chain does one-sixth of heart surgeries in India.

“His hospital chain is working on Kaizala app, Power BI and Azure to run the operation smoothly.

“Dr Shetty aims to put all electronic health records on Kaizala for real-time data analysis. This gives a doctor full information about a patient and his past,” said Maheshwari.

In October, NITI Aayog entered into a partnership with Microsoft to deploy AI technologies in areas such as agriculture, healthcare, natural language computing and sustainable environment.

“The role of AI will only get bigger for both agriculture and healthcare sectors in India. The seeds are now sown,” Maheshwari added. (IANS)