frog 0.20-2.1build1 source package in Ubuntu
Changelog
frog (0.20-2.1build1) noble; urgency=medium * No-change rebuild for CVE-2024-3094 -- Steve Langasek <email address hidden> Sun, 31 Mar 2024 05:24:47 +0000
Upload details
- Uploaded by:
- Steve Langasek
- Uploaded to:
- Noble
- Original maintainer:
- Ubuntu Developers
- Architectures:
- any
- Section:
- science
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section | |
---|---|---|---|---|
Noble | release | universe | science |
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
frog_0.20.orig.tar.gz | 567.2 KiB | 1862d780d2edebb2dfd9c6ae86c7df56806ff93ca60a086ad4d536b1b772fe3c |
frog_0.20-2.1build1.debian.tar.xz | 7.1 KiB | 5c022b1b9a028557eff73f19005c79c4e532407e0f815e3bfa3f48c376235729 |
frog_0.20-2.1build1.dsc | 2.4 KiB | 09dde85febf55e643755c8eb6ac93579c92ece872c480805096fe614df585b99 |
Available diffs
- diff from 0.20-2.1 (in Debian) to 0.20-2.1build1 (500 bytes)
Binary packages built by this source
- frog: tagger and parser for natural languages (runtime)
Memory-Based Learning (MBL) is a machine-learning method applicable to a wide
range of tasks in Natural Language Processing (NLP).
.
Frog is a modular system integrating a morphosyntactic tagger, lemmatizer,
morphological analyzer, and dependency parser for natural languages. It is
based upon it's predecessor TADPOLE (TAgger, Dependency Parser, and
mOrphoLogical analyzEr). Using Memory-Based Learning techniques, frog
tokenizes, tags, lemmatizes, and morphologically segments word tokens in
incoming UTF-8 text files, and assigns a dependency graph to each sentence.
Frog is particularly targeted at the increasing need for fast, automatic NLP
systems applicable to very large (multi-million to billion word) document
collections that are becoming available due to the progressive digitization of
both new and old textual data. Up to now, frog has only been tested and used
using corpora of Dutch natural language (see the frogdata package for samples).
.
Frog is a product of the Centre of Language and Speech Technology at
Radboud University Nijmegen, it subsumes previous work by the
ILK Research Group (Tilburg University, The Netherlands) and
the CLiPS Research Centre (University of Antwerp, Belgium).
.
If you do scientific research in NLP, Frog will likely be of use to you.
- frog-dbgsym: debug symbols for frog
- libfrog-dev: tagger and parser for natural languages (headers)
Memory-Based Learning (MBL) is a machine-learning method applicable to a wide
range of tasks in Natural Language Processing (NLP).
.
Frog is a modular system integrating a morphosyntactic tagger, lemmatizer,
morphological analyzer, and dependency parser for natural languages. It is
based upon it's predecessor TADPOLE (TAgger, Dependency Parser, and
mOrphoLogical analyzEr). Using Memory-Based Learning techniques, frog
tokenizes, tags, lemmatizes, and morphologically segments word tokens in
incoming UTF-8 text files, and assigns a dependency graph to each sentence.
Frog is particularly targeted at the increasing need for fast, automatic NLP
systems applicable to very large (multi-million to billion word) document
collections that are becoming available due to the progressive digitization of
both new and old textual data. Up to now, frog has only been tested and used
using corpora of Dutch natural language (see the frogdata package for samples).
.
Frog is a product of the Centre of Language and Speech Technology at
Radboud University Nijmegen, it subsumes previous work by the
ILK Research Group (Tilburg University, The Netherlands) and
the CLiPS Research Centre (University of Antwerp, Belgium).
.
This package containers the headers needed to compile against Frog.
- libfrog2t64: No summary available for libfrog2t64 in ubuntu oracular.
No description available for libfrog2t64 in ubuntu oracular.
- libfrog2t64-dbgsym: debug symbols for libfrog2t64