Dictionary.video
Youglish
Merriam-Webster
Dictionary.com
Collins English Dictionary
dict.cc
Vocabulary.com
Urban Dictionary
WordNet
VerbAce
Artha
WordWeb
GoldenDict
Merriam-Webster
Power Thesaurus
Thesaurus.com
Dictionary.video is the world’s first and most comprehensive video dictionary. Unlike traditional dictionaries serve as the standard reference for what is right and what is wrong, dictionary.video focuses on pronunciation and how it is really being used in our daily life. It provides an interface to easily search and locate the best videos on YouTube to explain any words or phrases. Dictionary.video also features millions of real-life examples to help users master their usage. Users are encouraged to follow interesting channels on YouTube they have encountered and discovered through dictionary.video.
Our ultimate goal is to present an immersive illustration for every word and phrase. Users only need to spend three minutes on each entry before applying it in daily conversation.
The development story behind is blogged on wwwinsights.com
Dictionary.video WordNetBased 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.
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 / 21 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 / 2 months ago
If you like this, definitely check out WordNet (https://wordnet.princeton.edu/). - Source: Hacker News / 5 months ago
I didn't understand well what you meant, but maybe this site can help you: https://wordnet.princeton.edu/. Source: over 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
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.
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...
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.
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.