Thx. Actually, this is only true for the old language detector model, which isn't part of this release. All models from this release are already sha512
We will update the hashes for the Language detector: https://issues.apache.org/jira/browse/OPENNLP-1651 Gruß Richard Am 23. November 2024 16:57:36 MEZ schrieb Craig Russell <[email protected]>: >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 <[email protected]> >> Subject: [ANNOUNCE] Apache OpenNLP Pre-Trained Models 1.2 released >> Date: November 23, 2024 at 04:41:52 PST >> To: [email protected], [email protected], [email protected] >> Reply-To: [email protected] >> >> 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 >[email protected] >
