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SlangLang VS WordNet

Compare SlangLang VS WordNet and see what are their differences

SlangLang logo 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.

WordNet logo WordNet

WordNet® is a large lexical database of English.
  • SlangLang Landing page
    Landing page //
    2023-08-28
  • WordNet Landing page
    Landing page //
    2022-07-23

SlangLang videos

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WordNet videos

NLTK Python 3 - WORDNET CORPUS Lexical Database Explained

More videos:

  • Review - Wordnet P126,Review: Units 9 & 10 P 128

Category Popularity

0-100% (relative to SlangLang and WordNet)
Dictionary
38 38%
62% 62
Online Dictionary
43 43%
57% 57
Crowdsourcing
100 100%
0% 0
Spaced Repetition
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, WordNet seems to be more popular. It has been mentiond 28 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.

SlangLang mentions (0)

We have not tracked any mentions of SlangLang yet. Tracking of SlangLang recommendations started around Mar 2021.

WordNet mentions (28)

  • CatLIP: Clip Vision Accuracy with 2.7x Faster Pre-Training on Web-Scale Data
    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 / 7 days ago
  • A History of CLIP Model Training Data Advances
    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
  • GraphWords: Visual Dictionary and Thesaurus
    If you like this, definitely check out WordNet (https://wordnet.princeton.edu/). - Source: Hacker News / 4 months ago
  • i was looking for a site where i could add characteristics of a words and then i could search for another words like that word.
    I didn't understand well what you meant, but maybe this site can help you: https://wordnet.princeton.edu/. Source: about 1 year ago
  • Seeking a robust English word-list of length 4096 for encoding
    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
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What are some alternatives?

When comparing SlangLang and WordNet, you can also consider the following products

Urban Dictionary - Urban Dictionary is a Web-based dictionary of slang words and phrases.

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...

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.

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.