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  2. Google Translate - Wikipedia

    en.wikipedia.org/wiki/Google_Translate

    It uses deep learning techniques to translate whole sentences at a time, which has been measured to be more accurate between English and French, German, Spanish, and Chinese. [15] No measurement results have been provided by Google researchers for GNMT from English to other languages, other languages to English, or between language pairs that ...

  3. DeepL Translator - Wikipedia

    en.wikipedia.org/wiki/DeepL_Translator

    It was launched as DeepL Translator on 28 August 2017 and offered translations between English, German, French, Spanish, Italian, Polish and Dutch. [ 18 ] [ 19 ] [ 20 ] [ 7 ] At its launch, it claimed to have surpassed its competitors in blind tests and BLEU scores, including Google Translate , Amazon Translate, Microsoft Translator and ...

  4. 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.

  5. 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 ...

  6. 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.

  7. Naver Papago - Wikipedia

    en.wikipedia.org/wiki/Naver_Papago

    Papago ended its trial phase and officially launched on July 19, 2017, with translation options for Korean, Japanese, Chinese, English, Spanish, and French. [2] It was only available as a smartphone app but it has since launched its own website and has expanded to other languages.