Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

The Open English WordNet

YAGO is a large semantic knowledge base, derived from Wikipedia, WordNet, WikiData, GeoNames, and other data sources

Python Implementations of Word Sense Disambiguation (WSD) Technologies.

Accurately generate all possible forms of an English word e.g "election" --> "elect", "electoral", "electorate" etc.

Part-of-speech utilities for node.js based on the WordNet database.

TextAugment: Text Augmentation Library

Datasets for Knowledge Graph Completion with textual information about the entities

A modern, interlingual wordnet interface for Python

LanguageCrunch NLP server docker image

spacy-wordnet creates annotations that easily allow the use of wordnet and wordnet domains by using the nltk wordnet interface

WordNet Database files (previously WNdb)

Natural Language Processing (NLP) library for Crystal

Lexical database of any language

OpenWordnet-PT: an open access wordnet for Portuguese

Python tutorials as Jupyter Notebooks for NLP, ML, AI

A dictionary application built for GNOME.

A Ruby interface to the WordNet® Lexical Database.

Human friendly random name generator for tests

extJWNL (Extended Java WordNet Library) is a Java API for creating, reading and updating dictionaries in WordNet format.

This Python module can be used to obtain antonyms, synonyms, hypernyms, hyponyms, homophones and definitions.

Natural Language Interface to DataBases

Lemmatizer for text in English. Inspired by Python's nltk.corpus.reader.wordnet.morphy

A Wordnet API in pure JavaScript

Open German WordNet

WordNet plugin for Obsidian. WordNet is a large lexical database of English developed by Princeton University and its license allows use in other applications. This plugin is a part of the Obsidian42 family of Obsidian plugins.

WordNet in JSON format.

Language Modelling Makes Sense - WSD (and more) with Contextual Embeddings

A pure Ruby interface to the WordNet database

Generate Multiple choice Questions from any content or news article using BERT Extractive Summarization, Wordnet and Conceptnet