Youglish
Forvo
Hemingway
Grammarly
PronounceItRight
PlagiarismSearch
TextRanch
GoldenDict
WordNet
VerbAce
Artha
WordWeb
GoldenDict
Power Thesaurus
Merriam-Webster
Glosbe
Youglish WordNetBased on our record, Youglish should be more popular than WordNet. It has been mentiond 108 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.
Systems like this predate LLMs. Looks like this one has been around for a while https://web.archive.org/web/20230000000000*/https://youglish.com/. - Source: Hacker News / 7 months ago
Forvo to hear isolated recordings of words, YouGlish to hear them in context. Source: 11 months ago
Not a solution, but somewhat related: https://youglish.com/ lets you search YouTube videos for keywords, but the purpose is to find examples of how to pronounce words from real usage. It also works for a few other languages aside from English. - Source: Hacker News / 11 months ago
I recommend services listen2english.com and Youglish As a starting point for listening to the words and topics of interest. Random movies are not very effective in my opinion. It is better to listen to less, but exactly what you need at this point in your life. Source: 12 months ago
I recommend word search services on YouTube. Examples: listen2english.com and Youglish. They are good because you can find what you need to listen to at the moment. Source: 12 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 / about 1 month 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 / 3 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
Forvo - Forvo: the largest word pronunciation dictionary in the world, now with translations.
VerbAce - VerbAce-Pro is an easy-to-use Desktop Translation Software. Translate in a mouse click
Hemingway - Hemingway App makes your writing bold and clear.
Artha - Artha is a handy thesaurus based on WordNet with distinct features like global hotkey look-up...
Grammarly - Clear, effective, mistake-free writing everywhere you type.
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.
