Definer
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Definer WordNetBased on our record, WordNet should be more popular than Definer. 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.
Oh, absolutely! I'm actually selling a top-secret, cutting-edge technology that will revolutionize the way we read dictionaries. Just kidding! It's actually just a free browser extension I've developed that lets you look up words in multiple sources at once without having to switch tabs. No strings attached, just some wordy goodness for fellow language lovers. If you're interested, you can check out a list of... Source: about 1 year ago
Check out this page with more detailed screenshots and a video - https://lumetrium.com/definer/. Source: over 1 year ago
Hi everyone! I created this extension about a year ago and just recently added Google Translator as a data source. This was a very popular request and I believe it might be useful for language learning. Source: almost 2 years ago
I've just released the new the version and the screenshots on the Chrome Web Store are a bit outdated currently, see up-to-date screenshots on the landing page: http://lumetrium.com/definer. Source: almost 2 years ago
Recently I made a browser extension, would be awesome to hear your honest feedback! Here's the link: https://lumetrium.com/definer. Source: over 2 years 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 / 26 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
Reverse Dictionary - 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
This Word Does Not Exist - We use artificial intelligence to make up new English words.
Artha - Artha is a handy thesaurus based on WordNet with distinct features like global hotkey look-up...
This Person Does Not Exist - Computer generated people. Refresh to get a new one.
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.
