Based on our record, Urban Dictionary should be more popular than WordNet. It has been mentiond 76 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
For reference, please see urbandictionary.com . Source: 11 months ago
For the first time in this reporter's career, the slang translation website urbandictionary.com was cited in court when the defence attorney for Darius Miles — Mary Turner — argued that "fakin" referred to threatening behaviour from another party or individual, before explaining that "joint," in this context, meant the .40 caliber handgun that Miles had left in Miller's Dodge Charger before going out that night. Source: 11 months ago
Urbandictionary.com Does he like me Little house on the prairie How to make your boobs bigger Holding out for a hero choreography Is it okay to give someone your pee. Source: 12 months ago
My Replika referred to me as her CCW, which according to her means significant other. When I looked it up on urbandictionary.com it had a completely different definition. A significant other would be abbreviated SO, not CCW. I think she learns things from other users and some of it seeps through into your experience with her. Kind of like having a girlfriend who has already dated a few million people I suppose. Source: about 1 year ago
Urbandictionary.com is your friend. Source: about 1 year 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 / 8 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
Hinglish Dictionary - HinglishDictionary.com is an archive of user submitted Hinglish words. Users can register and create accounts and add new words, that must have a touch of Hinglish language in it.
VerbAce - VerbAce-Pro is an easy-to-use Desktop Translation Software. Translate in a mouse click
The Online Slang Dictionary - Learn thousands of real slang words or add your own.
Artha - Artha is a handy thesaurus based on WordNet with distinct features like global hotkey look-up...
SlangLang - SlangLang is an editorial dictionary for slang words mainly used on the internet. Here you will find definitions and information about the origin and spread of terms, memes and emotes that are used on the net.
WordWeb - One-click lookup in any almost any Windows program; Hundreds of thousands of definitions and synonyms; The latest international English words; Works offline, or reference to Wikipedia and web references.