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  2. Response to sneezing - Wikipedia

    en.wikipedia.org/wiki/Response_to_sneezing

    1912 illustration. In English-speaking countries, the common verbal response to another person's sneeze is "(God) bless you", or less commonly in the United States and Canada, "Gesundheit", the German word for health (and the response to sneezing in German-speaking countries).

  3. List of German expressions in English - Wikipedia

    en.wikipedia.org/wiki/List_of_German_expressions...

    As languages, English and German descend from the common ancestor language West Germanic and further back to Proto-Germanic; because of this, some English words are essentially identical to their German lexical counterparts, either in spelling (Hand, Sand, Finger) or pronunciation ("fish" = Fisch, "mouse" = Maus), or both (Arm, Ring); these are ...

  4. Google Translate - Wikipedia

    en.wikipedia.org/wiki/Google_Translate

    Google Translate does not directly translate from one language to another (L1 → L2). Instead, it often translates first to English and then to the target language (L1 → EN → L2). [97] [98] [99] [8] [100] However, because English, like all human languages, is ambiguous and depends on context, this can cause translation errors.

  5. 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 .

  6. Yandex Translate - Wikipedia

    en.wikipedia.org/wiki/Yandex_Translate

    Yandex Translate (Russian: Яндекс Переводчик, romanized: Yandeks Perevodchik) is a web service provided by Yandex, intended for the translation of web pages into another language. The service uses a self-learning statistical machine translation , [ 3 ] developed by Yandex. [ 4 ]

  7. Wikipedia:Content translation tool - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Content...

    The content translation tool assists users in translating existing Wikipedia articles from one language to another. Users select an article in any language, then select another language, and the interface provides machine translation which the human user can then use as inspiration to make readable text in another language.

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