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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. Reverso (language tools) - Wikipedia

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

    Reverso's suite of online linguistic services has over 96 million users, and comprises various types of language web apps and tools for translation and language learning. [11] Its tools support many languages, including Arabic, Chinese, English, French, Hebrew, Spanish, Italian, Turkish, Ukrainian and Russian.

  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. Machine translation - Wikipedia

    en.wikipedia.org/wiki/Machine_translation

    The origins of machine translation can be traced back to the work of Al-Kindi, a ninth-century Arabic cryptographer who developed techniques for systemic language translation, including cryptanalysis, frequency analysis, and probability and statistics, which are used in modern machine translation. [3]

  6. DeepL Translator - Wikipedia

    en.wikipedia.org/wiki/DeepL_Translator

    A 2018 paper by the University of Bologna evaluated the Italian-to-German translation capabilities and found the preliminary results to be similar in quality to Google Translate. [ 42 ] In September 2021, Slator remarked that the language industry response was more measured than the press and noted that DeepL is still highly regarded by users.

  7. Mobile translation - Wikipedia

    en.wikipedia.org/wiki/Mobile_translation

    The caveat is that this method is extremely difficult to automate; implementing this structure in a user-friendly fashion remains a major challenge facing translation app developers. A disadvantage that needs mentioning is the requirement for a stable Internet connection on the user's mobile device.

  8. 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 ...

  9. Computer-assisted translation - Wikipedia

    en.wikipedia.org/wiki/Computer-assisted_translation

    Augmented translation is a form of human translation carried out within an integrated technology environment that provides translators access to subsegment adaptive machine translation (MT) and translation memory (TM), terminology lookup (CAT), and automatic content enrichment (ACE) to aid their work, and that automates project management, file ...