WordNet VS Forvo

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 / 9 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

Oh and for anyone who doesn't know yet - there is this website https://forvo.com/ which has a lot of audio recordings from native speakers. You can search for a single word or a full phrase. It really helped me with Korean and German when I had doubts:). Source: 5 months ago

Another useful site for hearing pronunciations is Forvo: https://forvo.com/ Those are user contributed pronunciations, so there was an effort to say the word clearly. Although Youglish might be more authentic in a sense, I prefer hearing a word enunciated precisely if I want to learn the pronunciation. - Source: Hacker News / 6 months ago

Forvo to hear isolated recordings of words, YouGlish to hear them in context. Source: 10 months ago

Another possible resource is a site called forvo in which people pronounce words and sentences in their own languages. Very useful tool to learn pronunciations of new words but please bear in mind that sometimes they can be unrealistic if they are exaggerated and/or out of context. Source: 10 months ago

For individual words and phrases, go to http://forvo.com where you can hear native speakers in dozens of languages and even submit new words, names, or phrases. Source: 10 months ago