Python package for working with MediaWiki XML content dumps
RNN model trained from wikipedia corpus
Distributed representations of words and named entities trained on Wikipedia. | Updated to gensim 4.
📚 A Kotlin project which extracts ngram counts from Wikipedia data dumps.
Practical ML and NLP with examples.
Collects a multimodal dataset of Wikipedia articles and their images
Create a wiki corpus using a wiki dump file for Natural Language Processing
Repositório para disponibilização de bases de dados do Wikipedia e Simple Wikipedia pré-processadas, além de scripts de pré-processamento e geração de bases em Python.
IR search Engine for Wikipedia app
(Ongoing module in development) Getting Wikipedia articles parsed content. Created for getting text corpuses data fast and easy. But can be freely used for other purpuses too
A complete Python text analytics package that allows users to search for a Wikipedia article, scrape it, conduct basic text analytics and integrate it to a data pipeline without writing excessive code.
Some Faroese language statistics taken from fo.wikipedia.org content dump
Wikipedia text corpus for self-supervised NLP model training
Builds Wikipedia corpora in I5 (a TEI-based format)
A search engine trained from a corpus of wikipedia articles to provide efficient query results.
Corpus creator for Chinese Wikipedia
A desktop application that searches through a set of Wikipedia articles using Apache Lucene.
Command line tool to extract plain text from Wikipedia database dumps
Convert Wikipedia XML dump files to JSON or Text files
Add a description, image, and links to the wikipedia-corpus topic page so that developers can more easily learn about it.
To associate your repository with the wikipedia-corpus topic, visit your repo's landing page and select "manage topics."