Fourth Industrial Revolution

Google's AI translation tool seems to have invented its own language

A Google search page is seen through a magnifying glass in this photo illustration taken in Berlin, August 11, 2015.  Google Inc is changing its operating structure by setting up a new company called Alphabet Inc, which will include the search business and a number of other units. REUTERS/Pawel Kopczynski - RTX1NWEP

Google Translate processes more than 140 billion words each day. Image: REUTERS/Pawel Kopczynski

Jennifer Morris
Chief Executive Officer, Nature Conservancy

Back in September 2016, Google launched its Neural Machine Translation (GNMT) system, which uses deep learning to deliver more natural translations between languages.

Google Translate originally supported only a handful of languages when it launched 10 years ago; today that number has risen to 103. The system translates more than 140 billion words each day.

Creating a computer system to translate multiple languages is complex. The people at Google who built it wanted to find out just how clever their system was. So they came up with a challenge. They taught the machine to translate English to Japanese and vice versa. Then they taught it to translate English to Korean and also the reverse translation. So far, so ordinary. But what followed was truly extraordinary.

Lost in (AI) translation

The researchers discovered GNMT had taught itself to deliver ‘reasonable’ translations of Japanese to Korean – and vice versa – without using English as a bridge. It appears the machine had constructed its own language that reflects the concepts it uses to translate between languages it has been trained to understand.

A single sentence visualisation is captured here, representing the system’s memory of multi-directional translation between Japanese, Korean and English languages:

Image: Johnson et al

The discovery, called an ‘interlingua’, is in its early stages, and may be basic or highly sophisticated in its capabilities. In the above graphic, part (a) shows an overall geometry of the translations. Sentences sharing the same meaning – not language – also share the same colour. Part (b) is a close-up of one of the grouped meanings, and finally, part (c) segments the meanings into source languages.

The Google Translate team explains that "within a single group, we see a sentence with the same meaning but from three different languages. This means the network must be encoding something about the semantics of the sentence rather than simply memorizing phrase-to-phrase translations. We interpret this as a sign of existence of an interlingua in the network."

In simple terms, the system has created something by itself, with no human direction, to seemingly support its understanding of human languages.

Have you read?
Don't miss any update on this topic

Create a free account and access your personalized content collection with our latest publications and analyses.

Sign up for free

License and Republishing

World Economic Forum articles may be republished in accordance with the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Public License, and in accordance with our Terms of Use.

The views expressed in this article are those of the author alone and not the World Economic Forum.

Stay up to date:

The Digital Economy

Share:
The Big Picture
Explore and monitor how The Digital Economy is affecting economies, industries and global issues
A hand holding a looking glass by a lake
Crowdsource Innovation
Get involved with our crowdsourced digital platform to deliver impact at scale
World Economic Forum logo
Global Agenda

The Agenda Weekly

A weekly update of the most important issues driving the global agenda

Subscribe today

You can unsubscribe at any time using the link in our emails. For more details, review our privacy policy.

How to shape a sustainable future in space through responsible action

Olga Stelmakh-Drescher

November 4, 2024

Europe's data centre power demands plus other technology news to know

About us

Engage with us

  • Sign in
  • Partner with us
  • Become a member
  • Sign up for our press releases
  • Subscribe to our newsletters
  • Contact us

Quick links

Language editions

Privacy Policy & Terms of Service

Sitemap

© 2024 World Economic Forum