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Dictionary .NET VS WordNet

Compare Dictionary .NET VS WordNet and see what are their differences

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Dictionary .NET logo Dictionary .NET

Dictionary .NET is a tiny, easy and smart multilingual dictionary translating from/to 65 languages...

WordNet logo WordNet

WordNet® is a large lexical database of English.
  • Dictionary .NET Landing page
    Landing page //
    2021-12-18
  • WordNet Landing page
    Landing page //
    2022-07-23

Dictionary .NET videos

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WordNet videos

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NLTK Python 3 - WORDNET CORPUS Lexical Database Explained

More videos:

  • Review - Wordnet P126,Review: Units 9 & 10 P 128

Category Popularity

0-100% (relative to Dictionary .NET and WordNet)

Dictionary .NET

WordNet

Languages
28 28%
Languages
72% 72
Dictionary
17 17%
Dictionary
83% 83
Online Dictionary
15 15%
Online Dictionary
85% 85
Spaced Repetition
0 0%
Spaced Repetition
100% 100

User comments

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Social recommendations and mentions

Based 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.

Dictionary .NET mentions (0)

We have not tracked any mentions of Dictionary .NET yet. Tracking of Dictionary .NET recommendations started around Mar 2021.

WordNet mentions (28)

  • CatLIP: Clip Vision Accuracy with 2.7x Faster Pre-Training on Web-Scale Data
    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 / 14 days ago
  • A History of CLIP Model Training Data Advances
    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
  • GraphWords: Visual Dictionary and Thesaurus
    If you like this, definitely check out WordNet (https://wordnet.princeton.edu/). - Source: Hacker News / 4 months ago
  • i was looking for a site where i could add characteristics of a words and then i could search for another words like that word.
    I didn't understand well what you meant, but maybe this site can help you: https://wordnet.princeton.edu/. Source: about 1 year ago
  • Seeking a robust English word-list of length 4096 for encoding
    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
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What are some alternatives?

When comparing Dictionary .NET and WordNet, you can also consider the following products

Google Translate - Google's free service instantly translates words, phrases, and web pages between English and over 100 other languages.

VerbAce - VerbAce-Pro is an easy-to-use Desktop Translation Software. Translate in a mouse click

GoldenDict - The program has the following features: Use of WebKit for an accurate articles' representation, complete with all formatting, colors, images and links.

Artha - Artha is a handy thesaurus based on WordNet with distinct features like global hotkey look-up...

Wiktionary - Open Source wiki-dictionary by the Wikimedia foundation

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.

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