Skip to content

Commit

Permalink
we have NEWS. get ready for release
Browse files Browse the repository at this point in the history
  • Loading branch information
Ko van der Sloot authored and Ko van der Sloot committed May 15, 2019
1 parent 525b7e8 commit ff6c00f
Show file tree
Hide file tree
Showing 2 changed files with 28 additions and 1 deletion.
27 changes: 27 additions & 0 deletions NEWS
Original file line number Diff line number Diff line change
@@ -1,3 +1,30 @@
0.16 - 2018-05-15
[Ko vd Sloot]
This is the last release using pre FoLiA 2.0
It includes a total rework of the Frog Internals, aiming at better
maintainability and hoping for a speedup and a smaller memory footprint.
This work will continue in the upcoming release for FoLiA 2.0

Major Changes:
* total rework. Not using a FoLiA document as the internal datastructure anymore
but a FrogData structure.
* use folia::engine for all FoLiA processing
* -Q option is NOT supported anymore. It was unreliable anyway
* builds on the newest ucto versions only
* fix for https://github.com/proycon/LaMachine/issues//135
https://github.com/LanguageMachines/frog/issues/66
* handles some corner cases in FoLiA better
* lots of code cleanup
* numerous small fixes ( e.g. in NER and MBMA results)
* improved working of --languages option
* avoid invalid FoLiA: https://github.com/LanguageMachines/frog/issues/60
* fixed memory leaks
* better handling of weird FoLiA

[Maarten van Gompel]
* added skeleton for new Frog documentation


0.15 - 2018-05-16
[Ko vd Sloot]
* ucto_tokenizer_mod: removed call of (useless) ucto:setSentenceDetection(true)
Expand Down
2 changes: 1 addition & 1 deletion codemeta.json
Original file line number Diff line number Diff line change
Expand Up @@ -13,7 +13,7 @@
"@type": "SoftwareSourceCode",
"identifier": "frog",
"name": "Frog",
"version": "0.15",
"version": "0.16",
"description": "Frog is an integration of memory-based natural language processing (NLP) modules developed for Dutch. It performs automatic linguistic enrichment such as part of speech tagging, lemmatisation, named entity recognition, shallow parsing, dependency parsing and morphological analysis. All NLP modules are based on TiMBL.",
"license": "https://spdx.org/licenses/GPL-3.0",
"url": "https://languagemachines.github.io/frog",
Expand Down

0 comments on commit ff6c00f

Please sign in to comment.