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Thesaurus.com WordNetNo Thesaurus.com videos yet. You could help us improve this page by suggesting one.
Based on our record, Thesaurus.com should be more popular than WordNet. It has been mentiond 261 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.
It's worse than a "complicated broken mess". It doesn't work at all on iOS 14.3 (iPhone). It's just stuck displaying some glowing squares. There is an increasing number of websites which are becoming broken on iOS 14.3. https://thesaurus.com is another example; it used to work fine, until a few months ago, when they pushed a frontend update that now results in an "Unexpected application error"; not even partial... - Source: Hacker News / 4 months ago
The synonyms given by thesaurus.com are too strong. Source: 7 months ago
Honestly I always keep thesaurus.com open in a tab, and I'll just plug that word I want to use again in to see what else it offers me, and click through some suggestions to get to others if I still don't like those. Source: 10 months ago
Instead of "long" branches, you could consider: elongated, stretching, gangling, lanky, towering, lofty, or far-reaching. All of these words I found on thesaurus.com by looking up "long." Now, consider how each of these offers a slightly different vision of this tree, some carrying emotional implications. "Towering branches" give a very different feeling than "lanky branches.". Source: 10 months ago
Add information from thesaurus.com or merriam dictionary, translate into Chinese or French. Source: 10 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 / 6 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
Dictionary.com - Dictionary.com is the world’s leading digital dictionary. We provide millions of English definitions, spellings, audio pronunciations, example sentences, and word origins.
VerbAce - VerbAce-Pro is an easy-to-use Desktop Translation Software. Translate in a mouse click
Merriam-Webster - No other dictionary matches M-W's accuracy and scholarship in defining word meanings. Our pronunciation help, synonyms, usage and grammar tips set the standard.
Artha - Artha is a handy thesaurus based on WordNet with distinct features like global hotkey look-up...
Lingoes - Lingoes is an easy and intuitive dictionary and text translation software.
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.