Based on our record, Google Translate seems to be a lot more popular than WordNet. While we know about 501 links to Google Translate, we've tracked only 28 mentions of WordNet. 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 / 4 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
Const fs = require('fs'); Const tts = require('google-tts-api'); Const axios = require('axios'); // Function to convert text to speech and save as an audio file Async function textToSpeech(text, language, outputFile) { try { const url = await tts.getAudioUrl(text, { lang: language || 'en', slow: false, host: 'https://translate.google.com', }); const response = await axios.get(url,... - Source: dev.to / 24 days ago
Thanks for correcting me. Apparently, I was too credulous of https://translate.google.com/?sl=en&tl=nl&text=monster&op=translate. - Source: Hacker News / 3 months ago
First narrow it down to somewhere whose main language you can speak. I picked Germany because I already had some experience with the language and slightly Dunning Kruger'd myself. I like it, but… well, even native German speakers say „Deutsche Sprache, schwere Sprache“ ("German is hard"). Cyprus has a lot of English speakers (and indeed a lot of street furniture that looks just like the UK, plus two UK... - Source: Hacker News / 4 months ago
Https://translate.google.com/?sl=auto&tl=ja&text=heh&op=translate Make sure to press the speaker icon in the lower box. ;). - Source: Hacker News / 4 months ago
You can use Google translate on your phone or the website to read the text, even from images. Source: 5 months ago
VerbAce - VerbAce-Pro is an easy-to-use Desktop Translation Software. Translate in a mouse click
DeepL Translator - DeepL Translator is a machine translator that currently supports 42 language combinations.
Artha - Artha is a handy thesaurus based on WordNet with distinct features like global hotkey look-up...
Microsoft Translator - Microsoft Translator is your door to a wider world.
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.
Mate Translate - Ultimate translation app for Mac, iOS, Chrome and many more