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Word Grabbag VS WordNet

Compare Word Grabbag VS WordNet and see what are their differences

Word Grabbag logo Word Grabbag

A tool for finding similar collections of words, and not just those found in a Thesaurus.

WordNet logo WordNet

WordNet® is a large lexical database of English.
  • Word Grabbag Landing page
    Landing page //
    2019-09-10
  • WordNet Landing page
    Landing page //
    2022-07-23

Word Grabbag 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 Word Grabbag and WordNet)
Dictionary
18 18%
82% 82
Games
100 100%
0% 0
Online Dictionary
0 0%
100% 100
Language Learning
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, WordNet seems to be a lot more popular than Word Grabbag. While we know about 28 links to WordNet, we've tracked only 1 mention of Word Grabbag. 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.

Word Grabbag mentions (1)

  • [TOMT][website][1990s] Google list completer
    I looked for some alternatives and found http://wordgrabbag.com/ which definitely meets my needs. Thanks again! Looks like I was a bit off in the year estimate: https://gcemetery.co/google-sets/ says it existed from 2002-2011. Source: over 2 years ago

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 / 20 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 / 2 months ago
  • GraphWords: Visual Dictionary and Thesaurus
    If you like this, definitely check out WordNet (https://wordnet.princeton.edu/). - Source: Hacker News / 5 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: over 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 Word Grabbag and WordNet, you can also consider the following products

Onelook Thesaurus - Onelook Thesaurus and Reverse Dictionary lets you describe a concept and get back a list of words...

VerbAce - VerbAce-Pro is an easy-to-use Desktop Translation Software. Translate in a mouse click

Quick Draw Game - Can a neural network learn to recognize doodles?

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

Youglish - Improve your English pronunciation using Youtube. When words sound different in isolation vs. in a sentence, look up the pronunciation first in a dictionary, then use https://youglish.com.

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.