The download artifacts uses sha1 and md5 hashes for cryptographic validation. These are no longer considered safe to use.
I strongly urge you to abandon use of these hashes and migrate to sha512 for future releases. Warm regards, Craig > Begin forwarded message: > > From: Martin Wiesner <mawie...@apache.org> > Subject: [ANNOUNCE] Apache OpenNLP Pre-Trained Models 1.2 released > Date: November 23, 2024 at 04:41:52 PST > To: annou...@apache.org, us...@opennlp.apache.org, dev@opennlp.apache.org > Reply-To: dev@opennlp.apache.org > > The Apache OpenNLP team is pleased to announce the release of pre-trained > models for 32 languages, based on Universal Dependencies (UD) treebanks. > > The Apache OpenNLP library is a machine learning based toolkit for the > processing of natural language text. > > Changes in this version: > - New pre-trained sentence detection, tokenization, parts of speech tagging, > and lemmatization models for 9 languages are now available for: Armenian, > Basque, Catalan, Georgian, Greek, Kazakh, Korean, Icelandic, and Turkish. > - The existing sentence detection, tokenization, and parts of speech tagging > models for the 23 languages, published with models release 1.1, have been > re-trained. > - In addition, new lemmatization models have been trained and added for all > languages. > > All models, for a total of 32 languages, were trained with OpenNLP 2.5.0 > based on the latest UD release 2.15 > The models are compatible with Apache OpenNLP >=1.0.0. > > Apache OpenNLP model and reports are available for download from our model > download page: > https://opennlp.apache.org/models.html > > More information about this release can be found in the README at: > https://dist.apache.org/repos/dist/release/opennlp/models/ud-models-1.2/README > > Details about this model effectiveness can be found in the following report: > https://dist.apache.org/repos/dist/release/opennlp/models/ud-models-1.2/opennlp-training-eval-logs-1.2-2.5.0.zip > > > The Apache OpenNLP Team Craig L Russell c...@apache.org