WordNet
WordNet's structure makes it a useful tool for computational linguistics and natural language processing. WordNet superficially resembles a thesaurus, in that it groups words together based on their meanings.
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WordNet's structure makes it a useful tool for computational linguistics and natural language processing. WordNet superficially resembles a thesaurus, in that it groups words together based on their meanings.
Downloading WordNet and associated packages and tools
Downloading WordNet and associated packages and tools
Frequently Asked Questions - WordNet
WordNet is organized by the concept of synonym sets (synsets), groups of words that are roughly synonymous in a given context. The glossary definition and the example sentences are shared among all synonyms in a given synset.
WordNet Documentation
WordNet 3.0 Reference Manual. See a glossary of WordNet terms for an explanation of some terminology. The WordNet Reference Manual is provided in the form of Unix-style manual pages. Manual pages are available here, online, and are included in the various WordNet packages. Section 1: User Commands Introduction - wnintro(1WN)
License and Commercial Use of WordNet
WordNet License. This license is available as the file LICENSE in any downloaded version of WordNet. WordNet 3.0 license: (Download) WordNet Release 3.0 This software and database is being provided to you, the LICENSEE, by Princeton University under the following license.
wnintro(3WN) - WordNet
wnintro - introduction to WordNet library functions. Description. This section of the WordNet Reference Manual contains manual pages that describe the WordNet library functions and API. Functions are organized into the following categories:
Citing WordNet
When writing a paper or producing a software application, tool, or interface based on WordNet, it is necessary to properly cite the source. Below are citations for hardcopy and the online version provided on our website.
Related Projects - WordNet
The user can browse through WordNet trees/nets by dragging the word or data nodes. A semantic rhyming dictionary was developed by Doug Beeferman at Carnegie Mellon University. It uses WordNet to help sort the output based on how near in meaning a …