8/24/2023 0 Comments Obscure words about memoriesTo act like an elephant in the porcelain shop. Sich wie ein Elefant im Porzellanladen benehmen There are a lot of people there having a good time. You can forget about that (plan, idea etc.) You can wipe that off your face like make-up. Can you guess what it means if someone is “stepping on your cookie” or “saying something through the flower”? Some German phrases and sayings may sound confusing if you try to translate them word by word but those are especially fun. Germanīeautiful German phrases, sayings, and quotes Here are some of our, admittedly subjective, favorite pretty German words. Not everyone is going to find these unique German words beautiful - but we do! Of course beauty is in the eye of the beholder. Its words are packed with subtle meaning. That’s the true beauty of the German language. So the German word “Schmetterling” may not match the pretty looks of the butterfly, but it does match its hidden power. After all, the butterfly effect says that one “ Flügelschlag” (the flap of a wing) can cause a hurricane at the other end of the world through a chain reaction. “Schmettern” means “to dash” or to “shatter”, and “ling” means “something small”. German may not be known as a particularly pretty language, but you’ll find a subtle beauty in many German words, even where you wouldn’t expect it.įor example, the German word for “butterfly” is “ Schmetterling”. You can find some of the most beautiful German words and meanings when you learn all the ways to say I love you and how to give the nicest compliments in German. We’ll teach you words with up to 57 letters, plus the true reason why German words are so long. They’re hilariously longGet ready for “ Rechtsschutzversicherung”, “ Nahrungsmittelunverträglichkeit” and some even longer ones.Now you can’t deny, that makes a lot of sense! They’re very logicalIn German, a fridge is a “cool-cabinet” ( Kühlschrank) and a lightbulb is a “glow-pear” ( Glühbirne).They’re versatileSome German words are surprisingly soft and easy like “ lila” (purple), while others sound more like “ Geschirrklirren” (the clinking of dishes).Here are three reasons why German words are so amazing. We have collected some of the prettiest and quirkiest German words for you that will absolutely make you fall in love with the language. To learn more, see the privacy policy.While learning German and building your vocabulary, you’ve already learned all about the beautiful German words for flowers, birds and colors, but you still haven’t found your favorite German word, yet? Please note that Describing Words uses third party scripts (such as Google Analytics and advertisements) which use cookies. Special thanks to the contributors of the open-source mongodb which was used in this project. As you'd expect, you can click the "Sort By Usage Frequency" button to adjectives by their usage frequency for that noun. The "uniqueness" sorting is default, and thanks to my Complicated Algorithm™, it orders them by the adjectives' uniqueness to that particular noun relative to other nouns (it's actually pretty simple). You can hover over an item for a second and the frequency score should pop up. The blueness of the results represents their relative frequency. If anyone wants to do further research into this, let me know and I can give you a lot more data (for example, there are about 25000 different entries for "woman" - too many to show here). In fact, "beautiful" is possibly the most widely used adjective for women in all of the world's literature, which is quite in line with the general unidimensional representation of women in many other media forms. On an inital quick analysis it seems that authors of fiction are at least 4x more likely to describe women (as opposed to men) with beauty-related terms (regarding their weight, features and general attractiveness). Hopefully it's more than just a novelty and some people will actually find it useful for their writing and brainstorming, but one neat little thing to try is to compare two nouns which are similar, but different in some significant way - for example, gender is interesting: " woman" versus " man" and " boy" versus " girl". The parser simply looks through each book and pulls out the various descriptions of nouns. Project Gutenberg was the initial corpus, but the parser got greedier and greedier and I ended up feeding it somewhere around 100 gigabytes of text files - mostly fiction, including many contemporary works. Eventually I realised that there's a much better way of doing this: parse books! While playing around with word vectors and the " HasProperty" API of conceptnet, I had a bit of fun trying to get the adjectives which commonly describe a word. The idea for the Describing Words engine came when I was building the engine for Related Words (it's like a thesaurus, but gives you a much broader set of related words, rather than just synonyms).
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