Stanford.NLP.Segmenter 3.3.1.1

.NET Framework This package is compatible with all versions of .NET Framework.
There is a newer version of this package available.
See the version list below for details. 
dotnet add package Stanford.NLP.Segmenter --version 3.3.1.1                

                    
                

            
NuGet\Install-Package Stanford.NLP.Segmenter -Version 3.3.1.1
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package. 
<PackageReference Include="Stanford.NLP.Segmenter" Version="3.3.1.1" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add Stanford.NLP.Segmenter --version 3.3.1.1                

                    
                

            
#r "nuget: Stanford.NLP.Segmenter, 3.3.1.1"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package. 
// Install Stanford.NLP.Segmenter as a Cake Addin
#addin nuget:?package=Stanford.NLP.Segmenter&version=3.3.1.1

// Install Stanford.NLP.Segmenter as a Cake Tool
#tool nuget:?package=Stanford.NLP.Segmenter&version=3.3.1.1

Tokenization of raw text is a standard pre-processing step for many NLP tasks. For English, tokenization usually involves punctuation splitting and separation of some affixes like possessives. Other languages require more extensive token pre-processing, which is usually called segmentation.

Product Compatible and additional computed target framework versions.
.NET Framework net is compatible. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages

This package is not used by any NuGet packages.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
4.2.0.2 856 8/25/2022 4.2.0.2 is deprecated because it is no longer maintained.
4.2.0 707 2/27/2021
3.9.2 1,424 5/1/2019
3.9.1 2,592 3/3/2018
3.8.0 1,477 9/9/2017
3.7.0.1 1,237 4/9/2017
3.7.0 1,244 1/13/2017
3.6.0 1,897 12/28/2015
3.5.2.1 1,599 10/5/2015
3.5.2 1,501 5/22/2015
3.5.1 1,665 2/14/2015
3.5.0 1,525 12/3/2014
3.4.0 1,644 6/21/2014
3.3.1.1 1,232 5/2/2014
3.3.0 1,443 11/27/2013
3.2.0 1,314 9/9/2013