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DeepL Translator VS WordNet

Compare DeepL Translator VS WordNet and see what are their differences

DeepL Translator logo DeepL Translator

DeepL Translator is a machine translator that currently supports 42 language combinations.

WordNet logo WordNet

WordNet® is a large lexical database of English.
  • DeepL Translator Landing page
    Landing page //
    2023-09-28
  • WordNet Landing page
    Landing page //
    2022-07-23

DeepL Translator videos

111

WordNet videos

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 DeepL Translator and WordNet)
Languages
93 93%
7% 7
Dictionary
0 0%
100% 100
Translation Service
100 100%
0% 0
Online Dictionary
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare DeepL Translator and WordNet

DeepL Translator Reviews

The best machine translation software you can try in 2022
DeepL Translator is an NMT service developed by Linguee GmbH (now known as DeepL GmbH), a German business that focuses on developing machine translation technology through deep learning. DeepL Translator was launched in 2017 and extensively studies and learns the best translation options from reliable linguistic sources. Thanks to its use of artificial intelligence, DeepL...
Source: weglot.com
8 Best Online Translators to Using in the Real World
This is a really cool translation tool. The feature that makes DeepL Translator a cool one is the automatic sentence completion and definitions feature. There is an availability of getting your text translated into 26 different languages. Once you have received the translation, you double-click on any word to get more details.
Source: geekflare.com
7 Google Translate alternatives
DeepL launched in 2017 as a spin-off of Linguee, another well-known language service (see below). DeepL translation is based on neural network techniques, which is why it provides translations that appear to be far more natural and human sounding than most translation apps.

WordNet Reviews

We have no reviews of WordNet yet.
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Social recommendations and mentions

Based on our record, WordNet should be more popular than DeepL Translator. 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.

DeepL Translator mentions (15)

  • 3D Artist: How you do it? (A quick Survey)
    Add "on" to the end of this question and it will be properly written. Use deepl.com/translator and deepl.com/write to help you out with English writing and avoid forms that are too colloquial ("wanna"). Source: about 1 year ago
  • A bug when the panel with "Cinnamenu" and "Menu" is placed on the top.
    I suggest you to explain the problem in your words (and native language) and translate it in english with https://deepl.com/translator. Source: over 1 year ago
  • Indexmietvertrag
    Also if you find German ressources, use deepl.com/translator to translate the content. Source: over 1 year ago
  • Women arrested during today’s protests against the theocracy in Iran
    That's objectively not true, it's much better than it used to be. Deepl is generally better for some languages though. Source: over 1 year ago
  • This polish Investing article failry describes its impossible that UUSB was causing the rise of AMTD
    You could try this one everywhere: https://deepl.com/translator Best translator so far fmpov. Source: almost 2 years ago
View more

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 / 25 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 / 5 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: over 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
View more

What are some alternatives?

When comparing DeepL Translator 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

Microsoft Translator - Microsoft Translator is your door to a wider world.

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

Crowdin - Localize your product in a seamless way

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.