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  2. Pootle - Wikipedia

    en.wikipedia.org/wiki/Pootle

    Pootle was designed to be a web translation tool using the Translate Toolkit. It serves as a translation management system, treating translation files as documents and managing them as such. The aim of Pootle is never to replace existing processes but rather to enhance them.

  3. 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 .

  4. Google Translate - Wikipedia

    en.wikipedia.org/wiki/Google_Translate

    Google Translate is a multilingual neural machine translation service developed by Google to translate text, documents and websites from one language into another. It offers a website interface, a mobile app for Android and iOS, as well as an API that helps developers build browser extensions and software applications. [3]

  5. Reverso (language tools) - Wikipedia

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

    Reverso has been active since 1998, with the aim of providing online translation and linguistic tools to corporate and mass markets. [3] [4] In 2013 it released Reverso Context, a bilingual dictionary tool based on big data and machine learning algorithms. [5] In 2016 Reverso acquired Fleex, a service for learning English via subtitled movies.

  6. Yandex Translate - Wikipedia

    en.wikipedia.org/wiki/Yandex_Translate

    Yandex.Translate, like other automatic translation tools, has its limitations. When the online service was first introduced, the head of Yandex.Translate, Alexei Baitin, stated that although machine translation cannot be compared to a literary text, the translations produced by the system can provide a convenient option for understanding the ...

  7. 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.

  8. Google Translator Toolkit - Wikipedia

    en.wikipedia.org/wiki/Google_Translator_Toolkit

    If no previous human translation of the segment existed, it used machine translation to produce an 'automatic translation' for the segment, without intervention from human translators. Users could then review and improve the automatic translation by clicking on the sentence and fixing a translation, or using Google's translation tools to help ...

  9. Help:Translation - Wikipedia

    en.wikipedia.org/wiki/Help:Translation

    Machine translation can have difficulty with individual words or expressions for many reasons, including false friends, false cognates, literal translation, neologisms, slang, idiomatic expressions and other unrecognized compounds, words with multiple meanings, words with specialized meanings in certain knowledge domains different from a common ...