Home General This AI Startup Can Learn a New Language in One Week

This AI Startup Can Learn a New Language in One Week

Automatic Linguist (AL) is the name given to Speechmatics’ new machine learning technology that’s capable of learning a whole new language in under one week.

So far, the artificial technology (AI) has learned 28 different languages and hopes to one day master all 7,000 from around the world.

The AI was developed in Cambridge using the technology from the University of Cambridge.

It works by recognizing patterns in language and then applying this to each new language it encounters.

One recent challenge for the company came when asked to produce a system that was able to learn Hindi in two weeks.

Speechmatics managed to deliver the system, making 23 percent fewer errors than the leading system out there currently.

“Hindi was surprisingly easy,” said CEO at Speechmatics Benedikt von Thungen. “We discovered it is very similar to English in pronunciation, so we were able to use a process called adaptation.

It learned from the different data sets we have.” Each language has different aspects to it that make it unique.

Languages like Korean, German, and Finnish all use agglutination where words are joined to form new words. That was just one challenge the company had to solve.

“You have tonal languages, like Vietnamese and Mandarin and its variations, which was another fun challenge.

But, it’s a matter of teaching the system to deal with it that opens up a new swathe of languages,” says Benedikt.

In less than one day Speechmatics can learn the foundations of a language from a small amount of data through the recognizing of grammatical structures and sounds.

The AI platform can be used in a number of different situations. One major use is in providing real-time closed captioning for TV.

It could also be used to transcribe meetings and recordings as well as live call recording.

“Voice will very quickly become the main mechanism to interact with devices. We are seeing the really early adoption of that with Amazon Alexa, Siri and Google Voice, which is phenomenal but it’s still very one-dimensional,” said Benedikt.

However, the company will soon move into a more intuitive world with more conversational interfaces he confirms.

“Our USPs are accuracy, operational performance – memory footprint and speed – the breadth of language coverage and speed with which we offer a new language, and the speed at which we can add new features.”

Source Cambridge Independent

Subscribe to our newsletter

Signup today for free and be the first to get notified on the latest news and insights on artificial intelligence

KC Cheung
KC Cheung has over 18 years experience in the technology industry including media, payments, and software and has a keen interest in artificial intelligence, machine learning, deep learning, neural networks and its applications in business. Over the years he has worked with some of the leading technology companies, building and growing dynamic teams in a fast moving international environment.
- Advertisment -


AI Model Development isn’t the End; it’s the Beginning

AI model development isn’t the end; it’s the beginning. Like children, successful models need continuous nurturing and monitoring throughout their lifecycle. Parenting is exhilarating and, if...