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This is a list of words that have entered the English language from the Yiddish language, many of them by way of American English.There are differing approaches to the romanization of Yiddish orthography (which uses the Hebrew alphabet); thus, the spelling of some of the words in this list may be variable (for example, shlep is a variant of schlep, and shnozz, schnoz).
Language Explanation Mazal tov / Mazel tov: מַזָּל טוֹב good luck/congratulations [maˈzal tov] [ˈmazəl tɔv] Hebrew/Yiddish Used to mean congratulations. Used in Hebrew (mazal tov) or Yiddish. Used on to indicate good luck has occurred, ex. birthday, bar mitzvah, a new job, or an engagement. [1]
The common Yiddish joke is that the schlemiel is the one that spills the soup, the schlimazel is the one that the soup lands on (see [3], for one example). Basically, the schlemiel is an active participant in their own bad luck, whereas bad things just happen to the schlimazel.
Oy vey (Yiddish: אױ װײ) is a Yiddish phrase expressing dismay or exasperation. Also spelled oy vay, oy veh, or oi vey, and often abbreviated to oy, the expression may be translated as "oh, woe!" or "woe is me!" Its Hebrew equivalent is oy vavoy (אוי ואבוי, ój va'avój).
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Shm-reduplication has been advanced as an example of a natural-language phenomenon that cannot be captured by a context-free grammar. [6] The essential argument was that the reduplication can be repeated indefinitely, producing a sequence of phrases of geometrically increasing [ 7 ] length, which cannot occur in a context-free language.
The word Yid (/ ˈ j iː d /; Yiddish: איד), also known as the Y-word, [1] is a Jewish ethnonym of Yiddish origin. It is used as an autonym within the Ashkenazi Jewish community, and also used as slang by European football fans, antisemites, and others. Its usage may be controversial in modern English language.
The system constructs the dictionary of single-word translations based on the analysis of millions of translated texts. In order to translate the text, the computer first compares it to a database of words. The computer then compares the text to the base language models, trying to determine the meaning of an expression in the context of the text.