Skip to content

StarlangSoftware/TurkishSpellChecker-CPP

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

96 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

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.

Simple Web Interface

Link 1 Link 2

Video Lectures

For Developers

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

Requirements

CPP

To check if you have compatible C++ Compiler installed,

  • Open CLion IDE
  • Preferences >Build,Execution,Deployment > Toolchain

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

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

Open project with CLion IDE

To import projects from Git with version control:

  • Open CLion 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 Project option from Build menu. After compilation process, user can run TestSpellChecker.cpp.

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 = FsmMorphologicalAnalyzer();
        SpellChecker spellChecker = 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 = FsmMorphologicalAnalyzer();
      
    • NGram can be either trained from scratch or loaded from an existing model.

      • Training from scratch:

          Corpus corpus = Corpus("corpus.txt"); 
          NGram ngram = 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 = NGram("ngram.txt");
        

    For further details, please check here.

    • Afterwards, NGramSpellChecker can be created as below:

        SpellChecker spellChecker = NGramSpellChecker(fsm, ngram);
      

Spell Correction

Spell correction can be done as follows:

Sentence* sentence = new Sentence("Dıktor olaç yazdı");
Sentence* corrected = spellChecker.spellCheck(sentence);
cout << corrected;

Output:

Doktor ilaç yazdı

For Contibutors

Conan Setup

  1. First install conan.

pip install conan

Instructions are given in the following page:

https://docs.conan.io/2/installation.html

  1. Add conan remote 'ozyegin' with IP: 104.247.163.162 with the following command:

conan remote add ozyegin http://104.247.163.162:8081/artifactory/api/conan/conan-local --insert

  1. Use the comman conan list to check for installed packages. Probably there are no installed packages.

conan list

conanfile.py file

  1. Put the correct dependencies in the requires part
    requires = ["math/1.0.0", "classification/1.0.0"]
  1. Default settings are:
    settings = "os", "compiler", "build_type", "arch"
    options = {"shared": [True, False], "fPIC": [True, False]}
    default_options = {"shared": True, "fPIC": True}
    exports_sources = "src/*", "Test/*"

    def layout(self):
        cmake_layout(self, src_folder="src")

    def generate(self):
        tc = CMakeToolchain(self)
        tc.generate()
        deps = CMakeDeps(self)
        deps.generate()

    def build(self):
        cmake = CMake(self)
        cmake.configure()
        cmake.build()

    def package(self):
        copy(conanfile=self, keep_path=False, src=join(self.source_folder), dst=join(self.package_folder, "include"), pattern="*.h")
        copy(conanfile=self, keep_path=False, src=self.build_folder, dst=join(self.package_folder, "lib"), pattern="*.a")
        copy(conanfile=self, keep_path=False, src=self.build_folder, dst=join(self.package_folder, "lib"), pattern="*.so")
        copy(conanfile=self, keep_path=False, src=self.build_folder, dst=join(self.package_folder, "lib"), pattern="*.dylib")
        copy(conanfile=self, keep_path=False, src=self.build_folder, dst=join(self.package_folder, "bin"), pattern="*.dll")

    def package_info(self):
        self.cpp_info.libs = ["ComputationalGraph"]

CMakeLists.txt file

  1. Set the C++ standard with compiler flags.
	set(CMAKE_CXX_STANDARD 20)
	set(CMAKE_CXX_FLAGS "-O3")
  1. Dependent packages should be given with find_package.
	find_package(util_c REQUIRED)
	find_package(data_structure_c REQUIRED)
  1. For library part, use add_library and target_link_libraries commands. Use m library for math linker in Linux.
	add_library(Math src/Distribution.cpp src/Distribution.h src/DiscreteDistribution.cpp src/DiscreteDistribution.h src/Vector.cpp src/Vector.h src/Eigenvector.cpp src/Eigenvector.h src/Matrix.cpp src/Matrix.h src/Tensor.cpp src/Tensor.h)
	target_link_libraries(Math util_c::util_c data_structure_c::data_structure_c m)
  1. For executable tests, use add_executable and target_link_libraries commands. Use m library for math linker in Linux.
	add_executable(DiscreteDistributionTest src/Distribution.cpp src/Distribution.h src/DiscreteDistribution.cpp src/DiscreteDistribution.h src/Vector.cpp src/Vector.h src/Eigenvector.cpp src/Eigenvector.h src/Matrix.cpp src/Matrix.h src/Tensor.cpp src/Tensor.h Test/DiscreteDistributionTest.cpp)
	target_link_libraries(DiscreteDistributionTest util_c::util_c data_structure_c::data_structure_c m)

Data files

  1. Add data files to the cmake-build-debug folder.

C++ files

  1. If needed, comparator operators == and < should be implemented for map and set data structures.
    bool operator==(const Word &anotherWord) const{
        return (name == anotherWord.name);
    }
    bool operator<(const Word &anotherWord) const{
        return (name < anotherWord.name);
    }
  1. Do not forget to comment each function.
	/**
 	* A constructor of Word class which gets a String name as an input and assigns to the name variable.
	*
	* @param _name String input.
 	*/
	Word::Word(const string &_name) {
  1. Function names should follow caml case.
	int Word::charCount() const
  1. Write getter and setter methods.
	string Word::getName() const
	void Word::setName(const string &_name)
  1. Use catch.hpp for testing purposes. Add
#define CATCH_CONFIG_MAIN  // This tells Catch to provide a main() - only do this in one cpp file

line in only one of the test files. Add

#include "catch.hpp"

line in all test files. Example test file is given below:

TEST_CASE("DictionaryTest") {
    TxtDictionary lowerCaseDictionary = TxtDictionary("lowercase.txt", "turkish_misspellings.txt");
    TxtDictionary mixedCaseDictionary = TxtDictionary("mixedcase.txt", "turkish_misspellings.txt");
    TxtDictionary dictionary = TxtDictionary();
    SECTION("testSize"){
        REQUIRE(29 == lowerCaseDictionary.size());
        REQUIRE(58 == mixedCaseDictionary.size());
        REQUIRE(62113 == dictionary.size());
    }
    SECTION("testGetWord"){
        for (int i = 0; i < dictionary.size(); i++){
            REQUIRE_FALSE(nullptr == dictionary.getWord(i));
        }
    }
    SECTION("testLongestWordSize"){
        REQUIRE(1 == lowerCaseDictionary.longestWordSize());
        REQUIRE(1 == mixedCaseDictionary.longestWordSize());
        REQUIRE(21 == dictionary.longestWordSize());
    }
  1. Enumerated types should be declared with enum class.
	enum class Pos {
		ADJECTIVE,
		NOUN,
		VERB,
		ADVERB,
  1. Every header file should start with
	#ifndef MATH_DISTRIBUTION_H
	#define MATH_DISTRIBUTION_H

and end with

	#endif //MATH_DISTRIBUTION_H
  1. Do not forget to use const expression for parameters, if they will not be changed in the function.
	void Word::setName(const string &_name);
  1. Do not forget to use const expression for methods, which do not modify any class attribute. Also use [[dodiscard]]
	[[nodiscard]] bool isPunctuation() const;
  1. Use xmlparser package for parsing xml files.
    auto* doc = new XmlDocument("test.xml");
    doc->parse();
    XmlElement* root = doc->getFirstChild();
    XmlElement* firstChild = root->getFirstChild();
  1. Data structures: Use map for hash map, unordered_map for linked hash map, vector for array list, unordered_set for hash set

Releases

No releases published

Packages

 
 
 

Contributors

Languages