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2. Jewish English varieties - Wikipedia

   en.wikipedia.org/wiki/Jewish_English_varieties

   Several terms for hybrid Jewish English are being used or have been suggested, such as Englibrew and Yeshivish (hybrid English used in yeshivas, Jewish religious schools). [ 1 ] A set of terms refer to hybrids or mixtures of English and Yiddish rather than with Hebrew, and code-switching may be for representation of religious or cultural ...

3. Category:Yiddish–English translators - Wikipedia

   en.wikipedia.org/wiki/Category:Yiddish–English...

   Main page; Contents; Current events; Random article; About Wikipedia; Contact us

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. 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 ]

6. Alexander Harkavy - Wikipedia

   en.wikipedia.org/wiki/Alexander_Harkavy

   (1896), in which he shows that Yiddish has the essential elements and forms of a living language; "Don Kichot", a Judæo-German translation (1897–98); Yiddish-English (6th edition), English-Yiddish (11th edition) Dictionary (1910); The Holy Scriptures (1916) reprinted 1936 & 1951; Yiddish-English-Hebrew Dictionary (4th ed 1928) republished 1968.

7. 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 .