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2. Fan translation - Wikipedia

   en.wikipedia.org/wiki/Fan_translation

   Scanlation – The translation of comics, especially manga, as well as short stories and sometimes full novels, [5] by a fan network. [1] Fans scan the comics, turning them into computer images and translate the text in the images. [1] The resulting translations are then generally distributed only in electronic format. [6]

3. DeepL Translator - Wikipedia

   en.wikipedia.org/wiki/DeepL_Translator

   DeepL for Windows translating from Polish to French. The translator can be used for free with a limit of 1,500 characters per translation. Microsoft Word and PowerPoint files in Office Open XML file formats (.docx and .pptx) and PDF files up to 5MB in size can also be translated.

4. Reverso (language tools) - Wikipedia

   en.wikipedia.org/wiki/Reverso_(language_tools)

   Reverso is a French company specialized in AI-based language tools, translation aids, and language services. [2] These include online translation based on neural machine translation (NMT), contextual dictionaries, online bilingual concordances, grammar and spell checking and conjugation tools.

5. Fans Are Furious At Manga Publisher Bushiroad Over AI ...

   www.aol.com/fans-furious-manga-publisher...

   The Japanese version of the statement, however, revealed that the translation for the English release wasn’t being translated by humans, but instead would be AI-translated. 大変お待たせし ...

6. 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]

7. Neural machine translation - Wikipedia

   en.wikipedia.org/wiki/Neural_machine_translation

   Neural machine translation (NMT) is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model.