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  2. Yandex Translate - Wikipedia

    en.wikipedia.org/wiki/Yandex_Translate

    Yandex Translate (Russian: Яндекс Переводчик, romanized: Yandeks Perevodchik) is a web service provided by Yandex, intended for the translation of web pages into another language. The service uses a self-learning statistical machine translation , [ 3 ] developed by Yandex. [ 4 ]

  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

    Naver Papago (Korean: 네이버 파파고), shortened to Papago and stylized as papago, is a multilingual machine translation cloud service provided by Naver Corporation. The name Papago comes from the Esperanto word for parrot , Esperanto being a constructed language.

  5. Google Translate - Wikipedia

    en.wikipedia.org/wiki/Google_Translate

    Google Translate is a multilingual neural machine ... equivalents of text translated from Japanese to English. ... propose translations for 37 languages via photo, ...

  6. DeepL Translator - Wikipedia

    en.wikipedia.org/wiki/DeepL_Translator

    Translation software for Microsoft Windows and macOS was released in September 2019. [12] Support for Chinese (simplified) and Japanese was added on 19 March 2020, which the company claimed to have surpassed the aforementioned competitors as well as Baidu and Youdao. [32] [33] Then, 13 more European languages were added in March 2021. [34]

  7. List of Japanese interpreting and translation associations

    en.wikipedia.org/wiki/List_of_Japanese...

    It was an offshoot from JAT, focused on helping Japanese doctors communicate in English, with links throughout the world and some government funding. It created training resources such as actual video interviews with patients in Leicestershire (having various accents), and a 3-way glossary (Japanese, doctors' English, patients' English).

  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. 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.