ua-gec VS open-discourse

Compare ua-gec vs open-discourse and see what are their differences.

open-discourse

Open Discourse is the first fully comprehensive corpus of the plenary proceedings of the federal German Parliament (Bundestag). (by open-discourse)
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ua-gec open-discourse
1 5
255 82
0.4% -
4.1 3.6
4 months ago 24 days ago
Macaulay2 Python
Creative Commons Attribution 4.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

ua-gec

Posts with mentions or reviews of ua-gec. We have used some of these posts to build our list of alternatives and similar projects.

open-discourse

Posts with mentions or reviews of open-discourse. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-08.

What are some alternatives?

When comparing ua-gec and open-discourse you can also consider the following projects:

open-australian-legal-corpus-creator - The code used to create and update the Open Australian Legal Corpus, the first and only multijurisdictional open corpus of Australian legislative and judicial documents.

bookcorpus - Crawl BookCorpus

Chinese-Names-Corpus - 中文人名语料库。人名生成器。中文姓名,姓氏,名字,称呼,日本人名,翻译人名,英文人名。可用于中文分词、人名实体识别。

Korpora - Korean corpus repository

ukrainian-word-stress-dictionary - Dictionary of word stresses in the Ukrainian language 🇺🇦

trafilatura - Python & command-line tool to gather text on the Web: web crawling/scraping, extraction of text, metadata, comments

bundestag - Analysing the plenary session protocols of the Bundestag.

japanese-words-to-vectors - Word2vec (word to vectors) approach for Japanese language using Gensim and Mecab.