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Zero-Shot Language Transfer vs Iterative Back Translation for Unsupervised Machine Translation

arXiv.org Artificial Intelligence

This work focuses on comparing different solutions for machine translation on low resource language pairs, namely, with zero-shot transfer learning and unsupervised machine translation. We discuss how the data size affects the performance of both unsupervised MT and transfer learning. Additionally we also look at how the domain of the data affects the result of unsupervised MT. The code to all the experiments performed in this project are accessible on Github.


Translation Technology Is Getting Better. What Does That Mean For The Future?

#artificialintelligence

Tools and apps like Google Translate are getting better and better at translating one language into another. Alexander Waibel, professor of computer science at Carnegie Mellon University's Language Technologies Institute (@LTIatCMU), tells Here & Now's Jeremy Hobson how translation technology works, where there's still room to improve and what could be in store in the decades to come. "Over the years I think there's been a big trend on translation to go increasingly from rule-based, knowledge-based methods to learning methods. Systems have now really achieved a phenomenally good accuracy, and so I think, within our lifetime I'm fairly sure that we'll reach -- if we haven't already done so -- human-level performance, and/or exceeding it. "The current technology that really has taken the community by storm is of course neural machine translation.



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

#artificialintelligence

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. 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.


Google Translate adds real-time translations for 13 new languages

Engadget

Google announced this week that its Translate app for iOS and Android recognize 13 new languages through your smartphone's camera. The update, which includes support for Arabic and Hindi, is in the process of being rolled out to Translate users worldwide, per VentureBeat. In addition to Arabic and Hindi, the app now supports Bengali and Punjabi--four of the top 10 most spoken languages in the world, according to Ethnologue. Translate also added support for Gujarati, Kannada, Malayalam, Marathi, Nepali, Tamil, Telugu, Thai, and Vietnamese. Google Translate's "See" and "Snap" features allow you to point your camera at a sign or menu and watch the app translate the text in real time, or take a quick picture and let the app process any translatable text for you.