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  2. 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 ...

  3. Google Translate - Wikipedia

    en.wikipedia.org/wiki/Google_Translate

    Google Translate can translate multiple forms of text and media, which includes text, speech, and text within still or moving images. [ 23 ] [ 24 ] Specifically, its functions include: Written Words Translation: a function that translates written words or text to a foreign language.

  4. Google Lens - Wikipedia

    en.wikipedia.org/wiki/Google_Lens

    Google Lens is an image recognition technology developed by Google, designed to bring up relevant information related to objects it identifies using visual analysis based on a neural network. [2] First announced during Google I/O 2017, [ 3 ] it was first provided as a standalone app, later being integrated into Google Camera but was reportedly ...

  5. Translation - Wikipedia

    en.wikipedia.org/wiki/Translation

    Unedited machine translation is publicly available through tools on the Internet such as Google Translate, Almaany, [97] Babylon, DeepL Translator, and StarDict. These produce rough translations that, under favorable circumstances, approximate the meaning of the source text.

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  7. 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 .

  8. Google Neural Machine Translation - Wikipedia

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

    GNMT improved on the quality of translation by applying an example-based (EBMT) machine translation method in which the system learns from millions of examples of language translation. [2] GNMT's proposed architecture of system learning was first tested on over a hundred languages supported by Google Translate. [2]

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