Stanford.NLP.Parser 4.2.0

A natural language parser is a program that works out the grammatical structure of sentences, for instance, which groups of words go together (as \"phrases\") and which words are the subject or object of a verb. Probabilistic parsers use knowledge of language gained from hand-parsed sentences to try to produce the most likely analysis of new sentences.

Install-Package Stanford.NLP.Parser -Version 4.2.0
dotnet add package Stanford.NLP.Parser --version 4.2.0
<PackageReference Include="Stanford.NLP.Parser" Version="4.2.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Stanford.NLP.Parser --version 4.2.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: Stanford.NLP.Parser, 4.2.0"
#r directive can be used in F# Interactive, C# scripting and .NET Interactive. Copy this into the interactive tool or source code of the script to reference the package.
// Install Stanford.NLP.Parser as a Cake Addin
#addin nuget:?package=Stanford.NLP.Parser&version=4.2.0

// Install Stanford.NLP.Parser as a Cake Tool
#tool nuget:?package=Stanford.NLP.Parser&version=4.2.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

Release Notes

New version of Stanford NLP (4.2.0)

NuGet packages (2)

Showing the top 2 NuGet packages that depend on Stanford.NLP.Parser:

Package Downloads
F# extensions for Stanford.NLP.Parser
The library contains fundamental classes and base classes that define commonly-used value and reference data types, abstract classes, and attributes for implmenting the risk factor recognition and time attribute assigner for the i2b2 2014 shared task track 2.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version History

Version Downloads Last updated
4.2.0 135 2/27/2021
3.9.2 3,760 5/1/2019
3.9.1 2,228 3/3/2018
3.8.0 1,803 9/9/2017 1,837 4/9/2017
3.7.0 1,354 1/13/2017
3.6.0 2,957 12/28/2015 914 10/5/2015
3.5.2 7,534 5/22/2015
3.5.1 1,568 2/14/2015
3.5.0 1,290 12/3/2014
3.4.0 1,766 6/21/2014 1,055 5/2/2014
3.3.0 1,602 11/27/2013
3.2.0 1,307 7/7/2013