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  2. Machine translation - Wikipedia

    en.wikipedia.org/wiki/Machine_translation

    The use of machine translation in law has raised concerns about translation errors and client confidentiality. Lawyers who use free translation tools such as Google Translate may accidentally violate client confidentiality by exposing private information to the providers of the translation tools. [61]

  3. Google Translate - Wikipedia

    en.wikipedia.org/wiki/Google_Translate

    Google Translate is a web-based free-to-use translation service developed by Google in April 2006. [12] It translates multiple forms of texts and media such as words, phrases and webpages. Originally, Google Translate was released as a statistical machine translation (SMT) service. [12]

  4. 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.

  5. 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.

  6. Comparison of machine translation applications - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_machine...

    Statistical and neural machine translation: Moses: Cross-platform: LGPL: No fee required: 4.0 [6] Yes: Drop-in replacement for Pharaoh, features factored translation models and decoding of confusion networks. Moses for Mere Mortals: Ubuntu Linux: GPL: No fee required: 2014-11-16: Yes: Free open source; based on Moses; translation memories ...

  7. Apertium - Wikipedia

    en.wikipedia.org/wiki/Apertium

    Pipeline of Apertium machine translation system. This is an overall, step-by-step view how Apertium works. The diagram displays the steps that Apertium takes to translate a source-language text (the text we want to translate) into a target-language text (the translated text). Source language text is passed into Apertium for translation.

  8. Google Neural Machine Translation - Wikipedia

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

    Google Neural Machine Translation (GNMT) was a neural machine translation (NMT) system developed by Google and introduced in November 2016 that used an artificial neural network to increase fluency and accuracy in Google Translate.

  9. PROMT - Wikipedia

    en.wikipedia.org/wiki/PROMT

    In 2019, ProMT introduced its new neural technology [6] and flagship solution - PROMT Neural Translation Server. [7] Since then all MT systems developed by ProMT are based on neural machine translation. The software can run on Microsoft Windows, Linux, MacOS, iOS and Android and works in offline mode providing secure machine translation.