We have open-sourced our NLP library and its associated projects on GitHub. The library, Idyl NLP, is a Java natural language processing library. It is licensed under the Apache License, version 2.0.
Idyl NLP stands on the shoulders of giants to provide a capable and flexible NLP library. Utilizing components such as OpenNLP and DeepLearning4j under the hood, Idyl NLP offers various implementations for NLP tasks such as language detection, sentence extraction, tokenization, named-entity extraction, and document classification.
Here are the GitHub project links:
- Idyl NLP – https://github.com/idylnlp/idylnlp
- Idyl NLP Samples – https://github.com/idylnlp/idylnlp-samples
- Idyl NLP Models – https://github.com/idylnlp/idylnlp-models
- Idyl NLP Model Zoo – https://github.com/idylnlp/idylnlp-model-zoo
- Idyl NLP Apache NiFi Processors – https://github.com/idylnlp/idylnlp-nifi
Idyl NLP powers our NLP building block microservices and they are also open source on GitHub:
NLP Models and Model Zoo
Idyl NLP has the ability to automatically download NLP models when needed. The Idyl NLP Models repository contains model manifests for various NLP models. Through the manifest files, Idyl NLP can automatically download the model file referenced by the manifest and use it. The service powering the service is the Idyl NLP Model Zoo that will soon be hosted at zoo.idylnlp.ai. It is a Spring boot application that provides a REST interface for querying and downloading models so you can run your own model zoo for internal usage. See these two repositories on GitHub for more information about the available models and the model zoo. Models will become available through the repository in the coming days.
There are some sample projects available for Idyl NLP. The samples illustrate how to use some of Idyl NLP’s core capabilities and hopefully provide starting points for using Idyl NLP in your projects.
We are committed to further developing Idyl NLP and its ecosystem. We welcome the community’s contributions to help it foster and grow. We hope that the business friendly Apache license helps Idyl NLP’s adoption. Like most software engineers we are a bit behind on documentation. In the near term we will be focusing on the wiki, javadocs, and the sample projects. Our NLP Building Blocks will continue to be powered by Idyl NLP.
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