apache-opennlp 1.9.3-1 source package in Ubuntu
Changelog
apache-opennlp (1.9.3-1) unstable; urgency=medium * New upstream version 1.9.3 * Simplifying javadoc-set-source.patch. * Adjusting copyright years. Relicensing debian/* under Apache-2.0. * Wrapping and sorting. * Switching to debhelper-compat dependency. -- Andrius Merkys <email address hidden> Mon, 10 Aug 2020 01:41:21 -0400
Upload details
- Uploaded by:
- Debian Science Team
- Uploaded to:
- Sid
- Original maintainer:
- Debian Science Team
- Architectures:
- all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| apache-opennlp_1.9.3-1.dsc | 2.6 KiB | d84ce561f34c56c0ceea23754b8e9d8438dcf8d285c6831c0bf2781fa50143a0 |
| apache-opennlp_1.9.3.orig.tar.gz | 2.3 MiB | 2e3bb94094a782804c0cbe9518786e4cd1ef50193239ef73f682dd6e99f827f3 |
| apache-opennlp_1.9.3.orig.tar.gz.asc | 833 bytes | 53b36074df0d82fb2abb8c61cfc72f36674ae4cb92322467835b6baabf12f0f7 |
| apache-opennlp_1.9.3-1.debian.tar.xz | 23.8 KiB | b62efbc16cc59b38173639b224fe00c394b1d4a81a3642f6380e808b757415bf |
Available diffs
- diff from 1.9.2-1 to 1.9.3-1 (33.9 KiB)
No changes file available.
Binary packages built by this source
- libapache-opennlp-java: machine learning based toolkit for the processing of natural language text
The Apache OpenNLP library is a machine learning based toolkit for the
processing of natural language text. It supports the most common NLP tasks,
such as tokenization, sentence segmentation, part-of-speech tagging, named
entity extraction, chunking, parsing, and coreference resolution. These tasks
are usually required to build more advanced text processing services. OpenNLP
also included maximum entropy and perceptron based machine learning.
- opennlp: wrapper for Apache OpenNLP natural language text processing toolkit
The Apache OpenNLP library is a machine learning based toolkit for the
processing of natural language text. It supports the most common NLP tasks,
such as tokenization, sentence segmentation, part-of-speech tagging, named
entity extraction, chunking, parsing, and coreference resolution. These tasks
are usually required to build more advanced text processing services. OpenNLP
also included maximum entropy and perceptron based machine learning.
.
This package contains the command line wrapper.
