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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- Java Development Kit 8 or higher, Open JDK or Oracle JDK
- Maven
- Git
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
To check if you have Maven installed, use the following command:
mvn --version
To install Maven, you can follow the instructions here.
Install the latest version of Git.
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
Steps for opening the cloned project:
- Start IDE
- Select File | Open from main menu
- Choose
SpellChecker/pom.xmlfile - Select open as project option
- Couple of seconds, dependencies with Maven will be downloaded.
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
<dependency>
<groupId>io.github.starlangsoftware</groupId>
<artifactId>SpellChecker</artifactId>
<version>1.0.27</version>
</dependency>
SpellChecker finds spelling errors and corrects them in Turkish. There are two types of spell checker available:
-
SimpleSpellChecker-
To instantiate this, a
FsmMorphologicalAnalyzeris needed.FsmMorphologicalAnalyzer fsm = new FsmMorphologicalAnalyzer(); SpellChecker spellChecker = new SimpleSpellChecker(fsm);
-
-
NGramSpellChecker,-
To create an instance of this, both a
FsmMorphologicalAnalyzerand aNGramis required. -
FsmMorphologicalAnalyzercan be instantiated as follows:FsmMorphologicalAnalyzer fsm = new FsmMorphologicalAnalyzer(); -
NGramcan 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,
NGramSpellCheckercan be created as below:SpellChecker spellChecker = new NGramSpellChecker(fsm, ngram);
-
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
- Standard setup for packaging is similar to:
<groupId>io.github.starlangsoftware</groupId>
<artifactId>Amr</artifactId>
<version>1.0.0</version>
<packaging>jar</packaging>
<name>NlpToolkit.Amr</name>
<description>Abstract Meaning Representation Library</description>
<url>https://github.com/StarlangSoftware/Amr</url>
<organization>
<name>io.github.starlangsoftware</name>
<url>https://github.com/starlangsoftware</url>
</organization>
<licenses>
<license>
<name>The Apache Software License, Version 2.0</name>
<url>http://www.apache.org/licenses/LICENSE-2.0.txt</url>
</license>
</licenses>
<developers>
<developer>
<name>Olcay Taner Yildiz</name>
<email>olcay.yildiz@ozyegin.edu.tr</email>
<organization>Starlang Software</organization>
<organizationUrl>http://www.starlangyazilim.com</organizationUrl>
</developer>
</developers>
<scm>
<connection>scm:git:git://github.com/starlangsoftware/amr.git</connection>
<developerConnection>scm:git:ssh://github.com:starlangsoftware/amr.git</developerConnection>
<url>http://github.com/starlangsoftware/amr/tree/master</url>
</scm>
<properties>
<maven.compiler.source>1.8</maven.compiler.source>
<maven.compiler.target>1.8</maven.compiler.target>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
</properties>
- Only top level dependencies should be added. Do not forget junit dependency.
<dependencies>
<dependency>
<groupId>io.github.starlangsoftware</groupId>
<artifactId>AnnotatedSentence</artifactId>
<version>1.0.78</version>
</dependency>
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<version>4.13.1</version>
<scope>test</scope>
</dependency>
</dependencies>
- Maven compiler, gpg, source, javadoc plugings should be added.
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-compiler-plugin</artifactId>
<version>3.6.1</version>
<configuration>
<source>1.8</source>
<target>1.8</target>
</configuration>
</plugin>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-gpg-plugin</artifactId>
<version>1.6</version>
<executions>
<execution>
<id>sign-artifacts</id>
<phase>verify</phase>
<goals>
<goal>sign</goal>
</goals>
</execution>
</executions>
</plugin>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-source-plugin</artifactId>
<version>2.2.1</version>
<executions>
<execution>
<id>attach-sources</id>
<goals>
<goal>jar-no-fork</goal>
</goals>
</execution>
</executions>
</plugin>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-javadoc-plugin</artifactId>
<configuration>
<source>8</source>
</configuration>
<version>3.10.0</version>
<executions>
<execution>
<id>attach-javadocs</id>
<goals>
<goal>jar</goal>
</goals>
</execution>
</executions>
</plugin>
- Currently publishing plugin is Sonatype.
<plugin>
<groupId>org.sonatype.central</groupId>
<artifactId>central-publishing-maven-plugin</artifactId>
<version>0.8.0</version>
<extensions>true</extensions>
<configuration>
<publishingServerId>central</publishingServerId>
<autoPublish>true</autoPublish>
</configuration>
</plugin>
- For UI jar files use assembly plugins.
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-assembly-plugin</artifactId>
<version>2.2-beta-5</version>
<executions>
<execution>
<id>sentence-dependency</id>
<phase>package</phase>
<goals>
<goal>single</goal>
</goals>
<configuration>
<archive>
<manifest>
<mainClass>Amr.Annotation.TestAmrFrame</mainClass>
</manifest>
</archive>
<finalName>amr</finalName>
</configuration>
</execution>
</executions>
<configuration>
<descriptorRefs>
<descriptorRef>jar-with-dependencies</descriptorRef>
</descriptorRefs>
<appendAssemblyId>false</appendAssemblyId>
</configuration>
</plugin>
- Add resources to the resources subdirectory. These will include image files (necessary for UI), data files, etc.
- Do not forget to comment each function.
/**
* Returns the value of a given layer.
* @param viewLayerType Layer for which the value questioned.
* @return The value of the given layer.
*/
public String getLayerInfo(ViewLayerType viewLayerType){
- Function names should follow caml case.
public MorphologicalParse getParse()
- Write toString methods, if necessary.
- Use Junit for writing test classes. Use test setup if necessary.
public class AnnotatedSentenceTest {
AnnotatedSentence sentence0, sentence1, sentence2, sentence3, sentence4;
AnnotatedSentence sentence5, sentence6, sentence7, sentence8, sentence9;
@Before
public void setUp() throws Exception {
sentence0 = new AnnotatedSentence(new File("sentences/0000.dev"));