Hi, Yes. You summarized it correctly.
The following services are currently implemented: - Sentence Detection - Tokenization - POS Tagging The rest of your proposal sounds valid to me. Currently, we have some ongoing research regarding the performance of the gRPC implementation at our university by a student. That might give additional insights in the next weeks / months. Gruß Richard > Am 10.03.2025 um 14:59 schrieb Jobin Sabu <85jobins...@gmail.com>: > > Dear Richard and Apache OpenNLP Developers > > Thank you, Richard, for your valuable feedback and for pointing me to the > gRPC work in the sandbox. I’ve taken a closer look at the repository and > gained a better understanding of the current implementation. The concept of > using gRPC to enable backend interactions with OpenNLP is fascinating, and > I can see how this approach can benefit developers across multiple > languages. > > Based on my understanding, the sandbox already includes: > 1. A gRPC schema for OpenNLP services with generated Java stubs. > 2. A server implementation supporting tasks like POS tagging. > 3. An example Python client for interacting with the server. > > I find the idea of building on this foundation exciting. For my GSoC 2025 > project, I’d like to propose focusing on **extending the gRPC approach**, > specifically by: > - Improving the Python client and packaging it into a library for > distribution via `pip`, making it easier for Python developers to integrate > OpenNLP into their workflows. > - Exploring additional OpenNLP features (e.g., Named Entity Recognition or > Sentence Detection) that can be added to the gRPC service. > - Enhancing documentation and providing real-world examples for > Python-based integrations. > > Alternatively, if the community sees more value in pursuing a native Python > wrapper, I’m open to exploring that as well. My primary goal is to align my > efforts with OpenNLP’s priorities and deliver something valuable for the > community. > > I’d love to hear your thoughts and suggestions on this approach. If there > are specific areas the community would like me to focus on, please let me > know so I can refine my proposal accordingly. > > Thank you again for your guidance and support. I’m eager to hear your > feedback and take the next steps toward preparing my GSoC application. > > **Best regards,** > Jobin Sabu > Email: 85jobins...@gmail.com > > On Mon, 10 Mar, 2025, 1:59 pm Richard Zowalla, <r...@apache.org> wrote: > >> Hi Jobin, >> >> Thanks for your interest in contributing to OpenNLP! >> >> You’re absolutely right—most existing Python wrappers are either outdated >> or unmaintained, so this is a valuable idea in general. That said, there >> has been some work in the sandbox to demonstrate OpenNLP as a gRPC service: >> https://github.com/apache/opennlp-sandbox/tree/main/opennlp-grpc >> >> With this approach, a Python client can be generated (and perhaps also put >> into pip) to communicate with an OpenNLP server. It might be worth >> exploring whether extending or improving this setup aligns with your goals. >> >> While a native Python wrapper is certainly an option, the gRPC approach in >> the sandbox is another viable path. I’d love to hear thoughts from others >> on this as well! WDYT? >> Gruß >> Richard >> >> >>> Am 08.03.2025 um 08:53 schrieb Jobin Sabu <85jobins...@gmail.com>: >>> >>> Dear OpenNLP Community, >>> >>> My name is Jobin Sabu, and I’m a student with a background in Python, >>> machine learning, and NLP. I’m excited about the opportunity to >>> participate in Google Summer of Code (GSoC) 2025 with Apache OpenNLP >>> and contribute to its development. >>> >>> I’d like to propose a project idea: developing a Python wrapper for >>> Apache OpenNLP. The goal is to make OpenNLP’s powerful Java-based NLP >>> features (e.g., tokenization, sentence detection, named entity >>> recognition) accessible to Python developers. This wrapper would >>> bridge Python and Java using libraries like JPype or Py4J, providing a >>> user-friendly interface and a pip-installable package. >>> >>> Here’s an outline of the project: >>> 1. Implement Python functions that map to OpenNLP’s core features. >>> 2. Ensure seamless interoperability between Python and Java. >>> 3. Develop detailed documentation, tutorials, and example scripts. >>> 4. Write unit tests for robustness and performance benchmarks. >>> >>> I believe this project will expand OpenNLP’s usability and attract >>> more developers from the Python community. I’d love to hear your >>> feedback on this idea. Does it align with the community’s goals? Are >>> there any specific areas I should focus on or challenges I should be >>> aware of? >>> >>> Thank you for your time and guidance. I look forward to contributing >>> to OpenNLP and learning from this amazing >>> >>> Best regards, >>> Jobin Sabu >>> >>> 85jobins...@gmail.com >> >>
