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Slang-Dictionary.org VS WordNet

Compare Slang-Dictionary.org VS WordNet and see what are their differences

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Slang-Dictionary.org logo Slang-Dictionary.org

Slang-Dictionary is a web-based database for searching through the database of slang words and learn how different words are getting different meanings in different countries of the world.

WordNet logo WordNet

WordNet® is a large lexical database of English.
  • Slang-Dictionary.org Landing page
    Landing page //
    2023-07-24
  • WordNet Landing page
    Landing page //
    2022-07-23

Slang-Dictionary.org videos

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WordNet videos

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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 Slang-Dictionary.org and WordNet)

Slang-Dictionary.org

WordNet

Online Dictionary
37 37%
Online Dictionary
63% 63
Dictionary
33 33%
Dictionary
67% 67
Crowdsourcing
100 100%
Crowdsourcing
0% 0
Spaced Repetition
0 0%
Spaced Repetition
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.

Slang-Dictionary.org mentions (0)

We have not tracked any mentions of Slang-Dictionary.org yet. Tracking of Slang-Dictionary.org 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 / 8 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 Slang-Dictionary.org 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

SlangSite.com - SlangSite.

Artha - Artha is a handy thesaurus based on WordNet with distinct features like global hotkey look-up...

Reverse Dictionary - Describe a concept and get back a list of words

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.

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