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  2. 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 .

  3. 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]

  4. 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 ...

  5. Google Neural Machine Translation - Wikipedia

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

    In November 2016, Google Neural Machine Translation system (GNMT) was introduced. Since then, Google Translate began using neural machine translation (NMT) in preference to its previous statistical methods (SMT) [1] [16] [17] [18] which had been used since October 2007, with its proprietary, in-house SMT technology. [19] [20]

  6. List of dictionaries by number of words - Wikipedia

    en.wikipedia.org/wiki/List_of_dictionaries_by...

    This is a list of dictionaries considered authoritative or complete by approximate number of total words, or headwords, included. number of words in a language. [1] [2] In compiling a dictionary, a lexicographer decides whether the evidence of use is sufficient to justify an entry in the dictionary.

  7. Kansai dialect - Wikipedia

    en.wikipedia.org/wiki/Kansai_dialect

    When a copula precedes these particles, da + no da changes to na no da (na n da) and ya + no ya changes to na no ya (na n ya), but ya + nen does not change to na nen. No da is never used with polite form, but no ya and nen can be used with formal form such as nande desu nen, a formal form of nande ya nen.

  8. Japanese particles - Wikipedia

    en.wikipedia.org/wiki/Japanese_particles

    Na or naa at the end of a sentence is a variant of ne, implying more reflection. Verb (plain non-future) Suru-na するな: Don't do (something). Verb (stem) Tabe-na 食べな (short form of 食べなさい) Do eat / Please eat. Na-adjectives hen na hito 変な人: a strange person Phrases Hen da na! 変だな! How strange!

  9. Comparison of Standard Chinese transcription systems

    en.wikipedia.org/wiki/Comparison_of_Standard...

    Hanyu Pinyin Bopomofo Tong-yong Wade– Giles MPS II Yale EFEO Lessing –Othmer Gwoyeu Romatzyh IPA Note Tone 1 Tone 2 Tone 3 Tone 4 a: ㄚ: a: a: a: a: a: a: a: ar: aa: ah: a: ai