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  2. Google Translate - Wikipedia

    en.wikipedia.org/wiki/Google_Translate

    Google Translate is a free online service that translates text, speech, images and websites between 243 languages. Learn about its development from a statistical machine translation to a neural machine translation, its various functions and features, and its usage and impact.

  3. Google Neural Machine Translation - Wikipedia

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

    Learn about the neural machine translation system developed by Google and introduced in 2016 that used an artificial neural network to improve Google Translate. Find out the history, training, evaluation and languages supported by GNMT.

  4. 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.

  5. Machine translation - Wikipedia

    en.wikipedia.org/wiki/Machine_translation

    Learn about the history, approaches and applications of machine translation, the use of computational techniques to translate text or speech between languages. Compare rule-based, statistical and neural machine translation methods and see examples of MT systems and services.

  6. DeepL Translator - Wikipedia

    en.wikipedia.org/wiki/DeepL_Translator

    DeepL Translator is a service that uses convolutional neural networks to translate between 32 languages. It claims to surpass its competitors in quality and accuracy, and offers a free and a paid version with additional features.

  7. Comparison of computer-assisted translation tools - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_computer...

    A number of computer-assisted translation software and websites exists for various platforms and access types. According to a 2006 survey undertaken by Imperial College of 874 translation professionals from 54 countries, primary tool usage was reported as follows: Trados (35%), Wordfast (17%), Déjà Vu (16%), SDL Trados 2006 (15%), SDLX (4%), STAR Transit [fr; sv] (3%), OmegaT (3%), others (7%).

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