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A proposed roadmap for OpenNLP 2.x.

Version 2.0

Goals

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

Code Changes

  • 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.

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

Version 2.1

Goals

  • Provide deep learning implementations of OpenNLP interfaces.

Code Changes

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


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