dict.cc VS WordNet

Anyway, dict.cc says sich anhören is nur unpersönlich. So, I guess I can't use it to describe people? Like, Sie hört sich seltsam an would be incorrect? Source: 6 months ago

So, I looked up excitement on dict.cc. It gave me...die Aufregung, die Begeisterung, die Spannung, die Erregung...which of these words would you all use for the general concept of "excitement?". Source: 7 months ago

In Scandinavian (Swedish for example), verb loanwords end in '-era', while in the very similar German language, verb loanwords end in '-ieren' (eg, das Auto zu parkieren). But you see, until a spelling reform in approx. 1907, the spelling was '-iren'. LEO doesn't have 'assentieren', but dict.cc does. However, these two Websites I named are really wordlists, not dictionaries. Source: 10 months ago

You can use the vocab trainer on dict.cc. Source: 12 months ago

I thought this word would also exist in English, maybe with a little difference at best. My translator (dict.cc) recommends autarkic, autarkical (both with 'k', surprisingly) and autarchic. But my online spellchecker here underlines all of them with a red line. Source: 12 months ago

TL;DR: The authors pretrain the model to classify images into Wordnet synsets[a] that appear in the caption, using a standard Cross Entropy loss. They keep the number of classes relatively small by removing any synsets that don't show up in captions at least 500 times in the dataset. It seems to work well. My immediate question is: Why not classify among the entire hierarchy of all Wordnet synsets? --- [a]... - Source: Hacker News / 5 days ago

To operationalize this intuition, the Microsoft and UC Berkeley researchers use WordNet and Wiktionary to augment the text in image-text pairs. The concept itself is augmented for isolated concepts, such as the class labels in ImageNet, whereas for captions (such as from GCC), the least common noun phrase is augmented. Equipped with this additional structured knowledge, contrastively pretrained models exhibit... - Source: dev.to / about 2 months ago

If you like this, definitely check out WordNet (https://wordnet.princeton.edu/). - Source: Hacker News / 4 months ago

I didn't understand well what you meant, but maybe this site can help you: https://wordnet.princeton.edu/. Source: about 1 year ago

What I'd do is work with a huge database like WordNet and then try to "extrapolate" BIP39 to 4096 words by creating queries against WordNet to obtain words meeting the constraints you'd like to keep. Source: over 1 year ago