Here is the the new home of the Zemberek project. Zemberek-NLP provides basic Natural Language Processing tools for Turkish text. Code and API is not compatible with the old [Zemberek2] (https://github.com/ahmetaa/zemberek) project. Please note that all code and APIs are subject to change drastically until version 1.0.0

Latest version is 0.10.0 (January 20th 2017)

Please read the [FAQ] (https://github.com/ahmetaa/zemberek-nlp/wiki/FAQ) for common questions.

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 dependecies (For example morphology):

<dependencies>
    <dependency>
        <groupId>zemberek-nlp</groupId>
        <artifactId>morphology</artifactId>
        <version>0.10.0</version>
    </dependency>
</dependencies>

[Google docs page] (https://drive.google.com/#folders/0B9TrB39LQKZWSjNKdVcwWUxxUm8) page has versions and separate module and dependent jars.

There is also a single jar file containing all zemberek modules available. Other dependencies (Like Guava) can be found there as well.

[Turkish-nlp-examples] (https://github.com/ahmetaa/turkish-nlp-examples) contains a maven java project with small usage examples.

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

Maven artifact id : core

Turkish morphological analysis, disambiguation and generation. [Documentation] (https://github.com/ahmetaa/zemberek-nlp/tree/master/morphology)

Maven artifact id : morphology

Turkish Tokenization and sentence boundary detection. So far only rule based algorithms. [Documentation] (https://github.com/ahmetaa/zemberek-nlp/tree/master/tokenization)

Maven artifact id : tokenization

Turkish syllabification and hyphenation.

Maven artifact id : hyphenation

Allows fast identification of text language. [Documentation] (https://github.com/ahmetaa/zemberek-nlp/tree/master/lang-id)

Maven artifact id : lang-id

Only provides a language compression implementation. [Documentation] (https://github.com/ahmetaa/zemberek-nlp/tree/master/lm)

Maven artifact id : lm

Not yet finished. So far only provides fast edit-distance dictionary matching. [Documentation.] (https://github.com/ahmetaa/zemberek-nlp/tree/master/normalization)

Maven artifact id : normalization

• Project requires Java 8.
• Currently word and sentence parse module operations generates parse graph with each initialization. So each run in the system takes some seconds.
• Morphological parsing does not work for some obvious and frequent words.
• Morphological disambiguation is working less accurate then expected.
• Morphological generation may not work for some obvious Stem-Suffix combinations.
• 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.