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  2. 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.

  3. Google Neural Machine Translation - Wikipedia

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

    Training GNMT was a big effort at the time and took, by a 2021 OpenAI estimate, on the order of 100 PFLOP/s*day (up to 10 22 FLOPs) of compute which was 1.5 orders of magnitude larger than Seq2seq model of 2014 [21] (but about 2x smaller than GPT-J-6B in 2021 [22]). Google Translate's NMT system uses a large artificial neural network capable of ...

  4. Neural machine translation - Wikipedia

    en.wikipedia.org/wiki/Neural_machine_translation

    DeepL Translator, which was at the time based on a CNN encoder, was also released in the same year and was judged by several news outlets to outperform its competitors. [ 28 ] [ 29 ] [ 30 ] It has also been seen that OpenAI 's GPT-3 released in 2020 can function as a neural machine translation system.

  5. Google Translate - Wikipedia

    en.wikipedia.org/wiki/Google_Translate

    In 2017, Google Translate was used during a court hearing when court officials at Teesside Magistrates' Court failed to book an interpreter for the Chinese defendant. [16] A petition for Google to add Cree to Google Translate was created in 2021, but it was not one of the languages in development at the time of the Translate Community's closure.

  6. Fraser McReight - Wikipedia

    en.wikipedia.org/wiki/Fraser_McReight

    (October 2021) Click [show] for important translation instructions. 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. Alexandr Nesterovschi - Wikipedia

    en.wikipedia.org/wiki/Alexandr_Nesterovschi

    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. Do not translate text that appears unreliable or low-quality.

  8. DeepL Translator - Wikipedia

    en.wikipedia.org/wiki/DeepL_Translator

    DeepL Translator is a neural machine translation service that was launched in August 2017 and is owned by Cologne-based DeepL SE. The translating system was first developed within Linguee and launched as entity DeepL. It initially offered translations between seven European languages and has since gradually expanded to support 33 languages.

  9. Weblate - Wikipedia

    en.wikipedia.org/wiki/Weblate

    Weblate is an open source web-based translation tool with version control. It includes several hundred languages with basic definitions, and enables the addition of more language definitions, all definitions can be edited by the web community or a defined set of people, as well as through integrating machine translation, such as DeepL, Amazon Translate, or Google Translate.

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