A proposed roadmap for OpenNLP 2.x.

Version 1.9.x

Goals

• Backwards compatible with all 1.x.
• Provide future support for deep learning models trained in other framework, i.e. Tensorflow/PyTorch/MXnet.

Code Changes

These changes are to maintain backwards compatibility and not introduce any deep learning framework dependencies into opennlp-tools.

• Create an opennlp-common project that contains the interfaces and common classes.
• Change opennlp-tools to have opennlp-common as a dependency.
• Other outstanding JIRA issues that can be addressed.

Projects and dependencies:

Version 2.0

Goals

• Provide deep learning implementations of OpenNLP interfaces.

Code Changes

• Create an opennlp-dl project with implementations for deep learning.

Projects and dependencies: