Zemberek-NLP

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 0.15.0 (August 2nd 2018). Change Log

Please read the FAQ for common questions.

Modules

Module	Maven Id
Core	zemberek-core	Special Collections, Hash functions and helpers.
Morphology	zemberek-morphology	Turkish morphological analysis, disambiguation and word generation.
Tokenization	zemberek-tokenization	Turkish Tokenization and sentence boundary detection.
Normalization	zemberek-normalization	Basic spell checker and word suggestion.
NER	zemberek-ner	Turkish Named Entity Recognition.
Classification	zemberek-classification	Text classification based on Java port of fastText project.
Language Identification	zemberek-lang-id	Fast identification of text language.
Language Modeling	zemberek-lm	Provides a language model compression algorithm.
Applications	zemberek-apps	Console applications
Examples	zemberek-examples	Usage examples.

Usage

Maven

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>0.15.0</version>
    </dependency>
</dependencies>

Jar distributions

Google drive page contains jar files for different versions.

[module-jars] folder contain all zemberek modules as separate jar files.

[zemberek-all-0.15.0.jar] contains all zemberek modules. [dependencies] folder contains other dependencies such as Google Guava.

[zemberek-full.jar] is a single jar that contains all modules and dependencies.

For Develpoers

Here information about how to compile the code and generate jar file from the project is explained.

Examples

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

Known Issues and Limitations

• 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.

License

Code is licensed under Apache License, Version 2.0

Citing

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

Acknowledgements

Please refer to contributors.txt file.