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README.md

MorphologicalDisambiguation

For Developers

Requirements

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

git clone https://github.com/olcaytaner/MorphologicalDisambiguation.git

Open project with IntelliJ IDEA

Steps for opening the cloned project:

  • Start IDE
  • Select File | Open from main menu
  • Choose MorphologicalDisambiguation/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 MorphologicalDisambiguation.

From Console

Use below line to generate jar file:

 mvn install

Morphological Disambiguation

Maven Usage

<groupId>NlpToolkit</groupId>
<artifactId>MorphologicalDisambiguation</artifactId>
<version>1.0.1</version>
<properties>
    <maven.compiler.source>1.8</maven.compiler.source>
    <maven.compiler.target>1.8</maven.compiler.target>
</properties>
<repositories>
    <repository>
        <id>NlpToolkit</id>
        <url>http://haydut.isikun.edu.tr:8081/artifactory/NlpToolkit</url>
    </repository>
</repositories>
<dependencies>
    <dependency>
        <groupId>NlpToolkit</groupId>
        <artifactId>Classification</artifactId>
        <version>1.0.0</version>
    </dependency>
    <dependency>
        <groupId>NlpToolkit</groupId>
        <artifactId>Corpus</artifactId>
        <version>1.0.0</version>
    </dependency>
    <dependency>
        <groupId>NlpToolkit</groupId>
        <artifactId>Dictionary</artifactId>
        <version>1.0.2</version>
    </dependency>
    <dependency>
        <groupId>NlpToolkit</groupId>
        <artifactId>MorphologicalAnalysis</artifactId>
        <version>1.0.2</version>
    </dependency>
    <dependency>
        <groupId>NlpToolkit</groupId>
        <artifactId>NGram</artifactId>
        <version>1.0.0</version>
    </dependency>
    <dependency>
        <groupId>NlpToolkit</groupId>
        <artifactId>DataStructure</artifactId>
        <version>1.0.0</version>
    </dependency>
</dependencies>

Creating MorphologicalDisambiguator

MorphologicalDisambiguator provides Turkish morphological disambiguation. There are possible disambiguation techniques. Depending on the technique used, disambiguator can be instantiated as follows:

  • Using RootFirstDisambiguation,

      MorphologicalDisambiguator morphologicalDisambiguator = new RootFirstDisambiguation();
    
  • Using HmmDisambiguation,

      MorphologicalDisambiguator morphologicalDisambiguator = new HmmDisambiguation();
    
  • Using DummyDisambiguation,

      MorphologicalDisambiguator morphologicalDisambiguator = new DummyDisambiguation();
    

Training MorphologicalDisambiguator

To train the disambiguator, an instance of DisambiguationCorpus object is needed. This can be instantiated and the disambiguator can be trained and saved as follows:

DisambiguationCorpus corpus = new DisambiguationCorpus("penn_treebank.txt");
morphologicalDisambiguator.train(corpus);
morphologicalDisambiguator.saveModel();

Sentence Disambiguation

To disambiguate a sentence, a FsmMorphologicalAnalyzer instance is required. This can be created as below, further information can be found here.

FsmMorphologicalAnalyzer fsm = new FsmMorphologicalAnalyzer();

A sentence can be disambiguated as follows:

Sentence sentence = new Sentence("Yarın doktora gidecekler");
FsmParseList[] fsmParseList = fsm.robustMorphologicalAnalysis(sentence);
System.out.println("All parses");
System.out.println("--------------------------");
for(int i = 0; i < fsmParseList.length; i++){
    System.out.println(fsmParseList[i]);
}
ArrayList<FsmParse> candidateParses = morphologicalDisambiguator.disambiguate(fsmParseList);
System.out.println("Parses after disambiguation");
System.out.println("--------------------------");
for(int i = 0; i < candidateParses.size(); i++){
    System.out.println(candidateParses.get(i));
}

Output

All parses
--------------------------
yar+NOUN+A3SG+P2SG+NOM
yar+NOUN+A3SG+PNON+GEN
yar+VERB+POS+IMP+A2PL
yarı+NOUN+A3SG+P2SG+NOM
yarın+NOUN+A3SG+PNON+NOM

doktor+NOUN+A3SG+PNON+DAT
doktora+NOUN+A3SG+PNON+NOM

git+VERB+POS+FUT+A3PL
git+VERB+POS^DB+NOUN+FUTPART+A3PL+PNON+NOM

Parses after disambiguation
--------------------------
yarın+NOUN+A3SG+PNON+NOM
doktor+NOUN+A3SG+PNON+DAT
git+VERB+POS+FUT+A3PL
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