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2. Word Lens - Wikipedia

   en.wikipedia.org/wiki/Word_Lens

   Word Lens was an augmented reality translation application from Quest Visual. [1] Word Lens used the built-in cameras on smartphones and similar devices to quickly scan and identify foreign text (such as that found in a sign or a menu), and then translated and displayed the words in another language on the device's display.

3. Image translation - Wikipedia

   en.wikipedia.org/wiki/Image_translation

   Image translation is the machine translation of images of printed text (posters, banners, menus, screenshots etc.). This is done by applying optical character recognition (OCR) technology to an image to extract any text contained in the image, and then have this text translated into a language of their choice, and the applying digital image processing on the original image to get the ...

4. Naver Papago - Wikipedia

   en.wikipedia.org/wiki/Naver_Papago

   Image Translation: The portion of a photo in a gallery or the characters in a newly photographed picture is specified and translated into text. It is available in six languages: Korean , English , Japanese , Chinese , Vietnamese , and Thai .

5. Zoom will add real-time translation for 12 languages next year

   www.aol.com/news/zoom-add-real-time-translation...

   Zoom says its real-time translation function will be up and running next year for 12 languages. The company demoed the feature Monday during its annual Zoomtopia event, and argued that it’ll ...

6. Google reveals AR glasses that can translate speech in real time

   www.aol.com/finance/google-reveals-ar-glasses...

   The demo showed how Google’s Translate can automatically listen to speech and translate it in real-time, displaying the translated text for the wearer to see and read with ease.

7. Google Neural Machine Translation - Wikipedia

   en.wikipedia.org/wiki/Google_Neural_Machine...

   GNMT's proposed architecture of system learning was first tested on over a hundred languages supported by Google Translate. [2] With the large end-to-end framework, the system learns over time to create better, more natural translations. [1] GNMT attempts to translate whole sentences at a time, rather than just piece by piece. [1]