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2. Google Translate - Wikipedia

   en.wikipedia.org/wiki/Google_Translate

   Google Translate produces approximations across languages of multiple forms of text and media, including text, speech, websites, or text on display in still or live video images. [ 23 ] [ 24 ] For some languages, Google Translate can synthesize speech from text, [ 25 ] and in certain pairs it is possible to highlight specific corresponding ...

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. AOL Mail

   mail.aol.com

   Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

5. OmegaT - Wikipedia

   en.wikipedia.org/wiki/OmegaT

   OmegaT can translate multiple files in multiple file formats in multiple subfolders simultaneously, and consult multiple translation memories, glossaries and dictionaries (limited only by available computer memory). With regard to supported file types, OmegaT allows the user to customise file extensions and file encodings.

6. Multimedia translation - Wikipedia

   en.wikipedia.org/wiki/Multimedia_translation

   Multimedia translation, also sometimes referred to as Audiovisual translation, is a specialized branch of translation which deals with the transfer of multimodal and multimedial texts into another language and/or culture. [1] and which implies the use of a multimedia electronic system in the translation or in the transmission process.

7. 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 ]