Turkish Spell Checker

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.

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For Developers

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Requirements

• Node.js 14 or higher
• Git

Node.js

To check if you have a compatible version of Node.js installed, use the following command:

node -v

You can find the latest version of Node.js here.

Git

Install the latest version of Git.

Npm Install

npm install nlptoolkit-spellchecker

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 util will be created. Or you can use below link for exploring the code:

git clone https://github.com/starlangsoftware/turkishspellchecker-js.git

Open project with Webstorm IDE

Steps for opening the cloned project:

• Start IDE
• Select File | Open from main menu
• Choose SepllChecker-Js file
• Select open as project option
• Couple of seconds, dependencies will be downloaded.

Detailed Description

• Creating SpellChecker
• Spell Correction

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.

      let fsm = FsmMorphologicalAnalyzer();
      let spellChecker = SimpleSpellChecker(fsm);   
     

• NGramSpellChecker,

  • To create an instance of this, both a FsmMorphologicalAnalyzer and a NGram is required.

  • FsmMorphologicalAnalyzer can be instantiated as follows:

      let fsm = FsmMorphologicalAnalyzer();

  • NGram can be either trained from scratch or loaded from an existing model.

    • Training from scratch:

        let corpus = Corpus("corpus.txt"); 
        let ngram = NGram(corpus.getAllWords(), 1);
        ngram.calculateNGramProbabilities(new LaplaceSmoothing());
                  

    There are many smoothing methods available. For other smoothing methods, check here.

    • Loading from an existing model:

        let ngram = NGram("ngram.txt");

  For further details, please check here.

  • Afterwards, NGramSpellChecker can be created as below:

      let spellChecker = NGramSpellChecker(fsm, ngram);
     

Spell Correction

Spell correction can be done as follows:

let sentence = new Sentence("Dıktor olaç yazdı");
let corrected = spellChecker.spellCheck(sentence);
Console.log(corrected);

Output:

Doktor ilaç yazdı