Hi all, OpenNLP always came with a couple of trained models which were ready to use for a few languages. The performance a user encounters with those models heavily depends on their input text.
Especially the English name finder models which were trained on MUC 6/7 data perform very poorly these days if run on current news articles and even worse on data which is not in the news domain. Anyway, we often get judged on how well OpenNLP works just based on the performance of those models (or maybe people who compare their NLP systems against OpenNLP just love to have OpenNLP perform badly). I think we are now at a point with those models were it is questionable if having them is still an advantage for OpenNLP. The SourceForge page is often blocked due to traffic limitations. We definitely have to act somehow. The old models have definitely some historic value and are used for testing the release. What should we do? We could take them offline and advice our users to train their own models on one of the various corpora we support. We could also do both and place a prominent link to our corpora documentation on the download page and in a less visible place a link to he historic SF models. Jörn
