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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 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.

  4. Microsoft Translator - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Translator

    Microsoft Translator or Bing Translator is a multilingual machine translation cloud service provided by Microsoft.Microsoft Translator is a part of Microsoft Cognitive Services [1] and integrated across multiple consumer, developer, and enterprise products, including Bing, Microsoft Office, SharePoint, Microsoft Edge, Microsoft Lync, Yammer, Skype Translator, Visual Studio, and Microsoft ...

  5. Unbabel says its new AI model has dethroned OpenAI’s ... - AOL

    www.aol.com/finance/unbabel-says-ai-model...

    Unbabel tested its AI model, which it calls TowerLLM, against GPT-4o and the original GPT-4, as well as OpenAI's GPT-3.5 and competing models from Google and the language translation company DeepL ...

  6. I'm a translator who uses AI, but I'm not worried about it ...

    www.aol.com/im-translator-uses-ai-im-110101626.html

    A freelance translator says AI makes him more efficient at his job and it won't replace him.

  7. 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]).

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