NlpToolkit-SpellChecker
1.0.7
dotnet add package NlpToolkit-SpellChecker --version 1.0.7
NuGet\Install-Package NlpToolkit-SpellChecker -Version 1.0.7
<PackageReference Include="NlpToolkit-SpellChecker" Version="1.0.7" />
paket add NlpToolkit-SpellChecker --version 1.0.7
#r "nuget: NlpToolkit-SpellChecker, 1.0.7"
// Install NlpToolkit-SpellChecker as a Cake Addin
#addin nuget:?package=NlpToolkit-SpellChecker&version=1.0.7
// Install NlpToolkit-SpellChecker as a Cake Tool
#tool nuget:?package=NlpToolkit-SpellChecker&version=1.0.7
This tool is a spelling checker for Modern Turkish. It detects spelling errors and corrects them appropriately, through its list of misspellings and matching to the Turkish dictionary.
For Developers
You can also see Java, Python, Cython, Swift, Js, or C++ repository.
Requirements
- C# Editor
- Git
Git
Install the latest version of Git.
Download Code
In order to work on code, create a fork from GitHub page. Use Git for cloning the code to your local or below line for Ubuntu:
git clone <your-fork-git-link>
A directory called TurkishSpellChecker-CS will be created. Or you can use below link for exploring the code:
git clone https://github.com/starlangsoftware/TurkishSpellChecker-CS.git
Open project with Rider IDE
To import projects from Git with version control:
Open Rider IDE, select Get From Version Control.
In the Import window, click URL tab and paste github URL.
Click open as Project.
Result: The imported project is listed in the Project Explorer view and files are loaded.
Compile
From IDE
After being done with the downloading and opening project, select Build Solution option from Build menu. After compilation process, user can run TurkishSpellChecker-CS.
Detailed Description
Creating SpellChecker
SpellChecker finds spelling errors and corrects them in Turkish. There are two types of spell checker available:
SimpleSpellChecker
To instantiate this, a
FsmMorphologicalAnalyzer
is needed.FsmMorphologicalAnalyzer fsm = new FsmMorphologicalAnalyzer(); SpellChecker spellChecker = new SimpleSpellChecker(fsm);
NGramSpellChecker
,To create an instance of this, both a
FsmMorphologicalAnalyzer
and aNGram
is required.FsmMorphologicalAnalyzer
can be instantiated as follows:FsmMorphologicalAnalyzer fsm = new FsmMorphologicalAnalyzer();
NGram
can be either trained from scratch or loaded from an existing model.Training from scratch:
Corpus corpus = new Corpus("corpus.txt"); NGram ngram = new NGram(corpus.GetAllWordsAsArrayList(), 1); ngram.CalculateNGramProbabilities(LaplaceSmoothing());
There are many smoothing methods available. For other smoothing methods, check here.
Loading from an existing model:
NGram ngram = new NGram("ngram.txt");
For further details, please check here.
Afterwards,
NGramSpellChecker
can be created as below:SpellChecker spellChecker = new NGramSpellChecker(fsm, ngram);
Spell Correction
Spell correction can be done as follows:
Sentence sentence = new Sentence("Dıktor olaç yazdı");
Sentence corrected = spellChecker.SpellCheck(sentence);
Console.WriteLine(corrected);
Output:
Doktor ilaç yazdı
Product | Versions Compatible and additional computed target framework versions. |
---|---|
.NET | net5.0 was computed. net5.0-windows was computed. net6.0 was computed. net6.0-android was computed. net6.0-ios was computed. net6.0-maccatalyst was computed. net6.0-macos was computed. net6.0-tvos was computed. net6.0-windows was computed. net7.0 was computed. net7.0-android was computed. net7.0-ios was computed. net7.0-maccatalyst was computed. net7.0-macos was computed. net7.0-tvos was computed. net7.0-windows was computed. net8.0 was computed. net8.0-android was computed. net8.0-browser was computed. net8.0-ios was computed. net8.0-maccatalyst was computed. net8.0-macos was computed. net8.0-tvos was computed. net8.0-windows was computed. |
.NET Core | netcoreapp2.2 is compatible. netcoreapp3.0 was computed. netcoreapp3.1 was computed. |
-
.NETCoreApp 2.2
- NlpToolkit-MorphologicalAnalysis (>= 1.0.16)
- NlpToolkit-NGram (>= 1.0.7)
NuGet packages
This package is not used by any NuGet packages.
GitHub repositories
This package is not used by any popular GitHub repositories.