You can also see Python, Cython, C, C++, Swift, Js, or C# repository.
- 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 Corpus will be created. Or you can use below link for exploring the code:
git clone https://github.com/starlangsoftware/Corpus.git
Steps for opening the cloned project:
- Start IDE
- Select File | Open from main menu
- Choose
Corpus/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 Corpus.
From Console
Go to Corpus directory and compile with
mvn compile
From IDE
Use package of 'Lifecycle' from maven window on the right and from Corpus root module.
From Console
Use below line to generate jar file:
mvn install
<dependency>
<groupId>io.github.starlangsoftware</groupId>
<artifactId>Corpus</artifactId>
<version>1.0.23</version>
</dependency>
To store a corpus in memory
a = Corpus("derlem.txt");
If this corpus is split with dots but not in sentences
Corpus(String fileName, SentenceSplitter sentenceSplitter)
To eliminate the non-Turkish sentences from the corpus
Corpus(String fileName, LanguageChecker languageChecker)
The number of sentences in the corpus
int sentenceCount()
To get ith sentence in the corpus
Sentence getSentence(int index)
TurkishSplitter class is used to split the text into sentences in accordance with the . rules of Turkish.
ArrayList<Sentence> split(String line);