Turkish SpellChecker

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.

Video Lectures

Class Diagram

For Developers

You can also see Python, Cython, C++, C, Swift, Js, or C# repository.

Requirements

• Java Development Kit 8 or higher, Open JDK or Oracle JDK
• Maven
• Git

Java

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

java -version

If you don't have a compatible version, you can download either Oracle JDK or OpenJDK

Maven

To check if you have Maven installed, use the following command:

mvn --version

To install Maven, you can follow the instructions here.

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

git clone https://github.com/starlangsoftware/TurkishSpellChecker.git

Open project with IntelliJ IDEA

Steps for opening the cloned project:

• Start IDE
• Select File | Open from main menu
• Choose SpellChecker/pom.xml file
• Select open as project option
• Couple of seconds, dependencies with Maven will be downloaded.

Compile

From IDE

After being done with the downloading and Maven indexing, select Build Project option from Build menu. After compilation process, user can run SpellChecker.

From Console

Use below line to generate jar file:

 mvn install

Maven Usage

    <dependency>
        <groupId>io.github.starlangsoftware</groupId>
        <artifactId>SpellChecker</artifactId>
        <version>1.0.27</version>
    </dependency>

For Developers

• 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.

      FsmMorphologicalAnalyzer fsm = new FsmMorphologicalAnalyzer();
      SpellChecker spellChecker = new SimpleSpellChecker(fsm);   
    

• NGramSpellChecker,

  • To create an instance of this, both a FsmMorphologicalAnalyzer and a NGram 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(new LaplaceSmoothing());
      

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

    • Loading from an existing model:

        NGram ngram = new NGram("ngram.txt");
        ngram.calculateNGramProbabilities(new LaplaceSmoothing());
      

  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);
System.out.println(corrected);

Output:

Doktor ilaç yazdı