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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 is a multilingual neural machine translation service developed by Google to translate text, documents and websites from one language into another. It offers a website interface , a mobile app for Android and iOS , as well as an API that helps developers build browser extensions and software applications . [ 3 ]

  4. Google Neural Machine Translation - Wikipedia

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

    Google Translate previously first translated the source language into English and then translated the English into the target language rather than translating directly from one language to another. [11] A July 2019 study in Annals of Internal Medicine found that "Google Translate is a viable, accurate tool for translating non–English-language ...

  5. Naver Papago - Wikipedia

    en.wikipedia.org/wiki/Naver_Papago

    1:1 Conversation Mode: An interactive translation, translated through speech recognition. 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]

  6. Itadakimasu - Wikipedia

    en.wikipedia.org/wiki/Itadakimasu

    View a machine-translated version of the Japanese article. Machine translation, like DeepL or Google Translate, is a useful starting point for translations, but translators must revise errors as necessary and confirm that the translation is accurate, rather than simply copy-pasting machine-translated text into the English Wikipedia.

  7. Project Naptha - Wikipedia

    en.wikipedia.org/wiki/Project_Naptha

    Project Naptha is a browser extension software for Google Chrome that allows users to highlight, copy, edit and translate text from within images. [1] It was created by developer Kevin Kwok, [2] and released in April 2014 as a Chrome add-on.

  8. Comparison of machine translation applications - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_machine...

    The following table compares the number of languages which the following machine translation programs can translate between. (Moses and Moses for Mere Mortals allow you to train translation models for any language pair, though collections of translated texts (parallel corpus) need to be provided by the user.

  9. Mobile translation - Wikipedia

    en.wikipedia.org/wiki/Mobile_translation

    image translation, where the user can take a picture (using the; device camera) of some printed text (a road sign, a restaurant menu, a page of a book etc.), have the application send it to the translation server which will apply Optical Character Recognition (OCR) technology, extract the text, return it to the user for editing (if necessary ...