AWS extends Amazon Translate to 2,804 language pairs, 6 more cloud regions
Amazon Web Services Inc. today added support for 22 new languages to Amazon Translate, expanding the usefulness of a service that already powers a massive variety of applications for its cloud customers.
Amazon Translate is an automated translator that uses machine learning to convert text between languages. AWS provides it via a programming interface that allows companies to hook up the service to applications such as chatbots and customer support systems.
The 22 languages added with today’s update are Afrikaans, Albanian, Amharic, Azerbaijani, Bengali, Bosnian, Bulgarian, Croatian, Dari, Estonian, Canadian French, Georgian, Hausa, Latvian, Pashto, Serbian, Slovak, Slovenian, Somali, Swahili, Tagalog and Tamil. Amazon Translate’s AI algorithms are now versed in a total of 54 languages and dialects. In practice, that means the service can provide automated translations across some 2,804 language pairs, more than 20 times the number it supported a year ago.
The breakneck pace at which AWS is enhancing Amazon Translate is at least in part a reflection of the revenue opportunities the service presents. Automated translation is a specialized feature but one with cross-market appeal. Hotels.com LP uses Amazon Translate to localize hotel reviews submitted by users, while startup Protagonist Inc. is harnessing it for data analytics. In addition, Amazon certified the service for processing medical records last year.
Other use cases, like translating real-time responses generated by chatbots, have the added requirement of low latency. To address that, AWS will enable companies to run Amazon Translate closer to their applications by making the service available in six more data centers regions: U.S. West (Northern California), Europe (London), Europe (Paris), Europe (Stockholm), Asia Pacific (Hong Kong) and Asia Pacific (Sydney).
In parallel, AWS is working to enhance the theoretical foundations of its service. Researchers from parent Amazon.com Inc. have in recent years published multiple academic papers detailing new methods for performing AI translation.
The company is investing even more resources to advance the broader field of natural-language processing, which is relevant for multiple AWS offerings besides Amazon Translation. The company has an entire blog for highlighting its researchers’ work in this area. In some projects, such as a recent effort to improve the quality of Alexa’s answers, Amazon collaborates with competitors such as Google LLC to tackle common areas of interest.
Since you’re here …
Show your support for our mission with our one-click subscription to our YouTube channel (below). The more subscribers we have, the more YouTube will suggest relevant enterprise and emerging technology content to you. Thanks!
Support our mission: >>>>>> SUBSCRIBE NOW >>>>>> to our YouTube channel.
… We’d also like to tell you about our mission and how you can help us fulfill it. SiliconANGLE Media Inc.’s business model is based on the intrinsic value of the content, not advertising. Unlike many online publications, we don’t have a paywall or run banner advertising, because we want to keep our journalism open, without influence or the need to chase traffic.The journalism, reporting and commentary on SiliconANGLE — along with live, unscripted video from our Silicon Valley studio and globe-trotting video teams at theCUBE — take a lot of hard work, time and money. Keeping the quality high requires the support of sponsors who are aligned with our vision of ad-free journalism content.