japanese-words-to-vectors VS open-discourse

Compare japanese-words-to-vectors vs open-discourse and see what are their differences.

japanese-words-to-vectors

Word2vec (word to vectors) approach for Japanese language using Gensim and Mecab. (by philipperemy)

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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japanese-words-to-vectors open-discourse
1 5
83 81
- -
10.0 3.6
over 2 years ago 5 days ago
Python Python
- MIT License
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japanese-words-to-vectors

Posts with mentions or reviews of japanese-words-to-vectors. We have used some of these posts to build our list of alternatives and similar projects.
  • Abstract-Concreteness Value Lexical Data for Japanese
    1 project | /r/linguistics | 19 Nov 2022
    I'm looking for data for how concrete or abstract different lexical items are in Japanese, similar to this data for English. I'm not very well versed in computational linguistics, so even though I've found this word-to-vector model that can create vectors for Japanese words, but I'm not sure how to extrapolate abstractness values from the resulting vectors, or if that's even possible without using a predefined abstract-concrete vector like shown here.

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 japanese-words-to-vectors and open-discourse you can also consider the following projects:

Korpora - Korean corpus repository

ua-gec - UA-GEC: Grammatical Error Correction and Fluency Corpus for the Ukrainian Language

bookcorpus - Crawl BookCorpus

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.