Zemberek-NLP provides basic Natural Language Processing tools for Turkish. Please note that all code and APIs are subject to change until version 1.0.0

Latest version is 0.14.0 (June 30th 2018). Change Log

Please read the FAQ for common questions.

If you use this project in an academic publication, please refer to this site.

Add this to pom.xml file

<repositories>
    <repository>
        <id>ahmetaa-repo</id>
        <name>ahmetaa Maven Repo on Github</name>
        <url>https://raw.github.com/ahmetaa/maven-repo/master</url>
    </repository>
</repositories>

And dependencies (For example morphology):

<dependencies>
    <dependency>
        <groupId>zemberek-nlp</groupId>
        <artifactId>zemberek-morphology</artifactId>
        <version>0.14.0</version>
    </dependency>
</dependencies>

Google docs page page contains jar files for different versions.

[module-jars] folder contain all zemberek modules as separate jar files. [zemberek-all-VERSION.jar] contains all zemberek modules. [dependencies] folder contains other dependencies suchas Google Guava.

There is an examples module in the code for usage examples.

Also, there is a separate project with same examples that uses Zemberek-NLP as maven modules: Turkish-nlp-examples

Core classes such as special Collection classes, Hash functions and helpers.

Maven artifact id : zemberek-core

Turkish morphological analysis, disambiguation and word generation. Documentation

Maven artifact id : zemberek-morphology

Turkish Tokenization and sentence boundary detection. Documentation

Maven artifact id : zemberek-tokenization

Provides basic spell checker and suggestion functions. Documentation

Maven artifact id : zemberek-normalization

Basic Named Entity Recognition mechanism. Documentation

Maven artifact id : zemberek-ner

Allows fast identification of text language. Documentation

Maven artifact id : zemberek-lang-id

Provides a language compression algorithm. Documentation

Maven artifact id : zemberek-lm

Provides basic usage examples. Source

Maven artifact id : zemberek-examples

• Project requires Java 8 or higher.
• NER module does not provide a model yet.
• Library is not well-tested for multi-threaded usage.

Please see issues section for further issues and feel free to create new ones.

Code is licensed under Apache License, Version 2.0

Please refer to contributors.txt file.