Kristian, a warm welcome from my side as well. Happy you have accepted the invitation to join as a committer. As mentioned by Jeff, contact us via Slack and share ideas and/or questions.
Best, Martin > Am 07.05.2026 um 19:18 schrieb Jeff Zemerick <[email protected]>: > > Kristian, > > Welcome to the project and thanks for the contributions! If you > haven't already, please join us over on the #opennlp channel in the > ASF Slack (https://the-asf.slack.com/). It's low traffic but things > are shared there from time to time. > > Thanks, > Jeff > > On Wed, May 6, 2026 at 8:38 AM Kristian Rickert <[email protected]> wrote: >> >> Thank you, Richard, and thank you to the entire OpenNLP PMC. The "village" >> framing really resonates. I've felt that support firsthand throughout this >> contribution, and I'm honored to accept. >> >> A bit of background: I built my first NLP-powered search engine back in 1999 >> during the dot-com bubble, refactored search at Etsy in 2010, and have spent >> the years working on search and analytics projects for banks, travel, >> libraries, and digital agencies in-between. OpenNLP has been a quiet >> workhorse in a lot of that work, and contributing back has been on my list >> for a long time. >> >> The thread-safety work started out as what I thought would be a quick task. >> However, just after a few minutes of work it become clear: OpenNLP is a >> highly optimized piece of code, and this needed more than a few defensive >> tweaks. Honestly, it was intimidating - but saw that the code was >> progressing to 3.0. That signaled to me that now was the time to do it. >> >> Working through the edge cases without degrading performance turned into one >> of the most enjoyable technical challenges I've had in a while, and the >> OpenNLP team was incredibly generous in helping me find a path forward. >> Their feedback was quick and thoughtful, much appreciated. The timing with >> 3.0 made it especially rewarding. >> >> Looking forward to contributing more from here. If anyone has ideas for >> where the project should go next, please don't be shy. I'd love to >> brainstorm and help where I can. >> >> And one last parting thought on the future of NLP: language understanding >> goes well beyond LLMs. NLP is foundational to how machines actually >> understand text and finding new homes to assist with GenAI. NLP's usefulness >> is only expanding. It provides structure to text, and the kind of precision >> and explainability that probability alone can't give you. Too many solutions >> these days plop an LLM in front of data and call it done. NLP is what >> governs that data, surfaces its meaning, and gives both traditional >> pipelines and LLMs a path to grounded truth. So who wouldn't be excited to >> keep building in this space? >> >> Thanks again to everyone. >> >> Kristian
