This tool extracts main text from xml Wikipedia dump files (at http://dumps.wikimedia.org/backup-index.html, ideally the "pages-articles" file), producing a text corpus, which is useful for training unsupervised part-of-speech taggers, n-gram language models, etc.
It was written by BenStobaugh during GCI-2013 and can be downloaded from SVN at https://svn.code.sf.net/p/apertium/svn/trunk/apertium-tools/WikiExtractor.py
This version is much simpler than the old version. This version auto-removes any formatting and only outputs the text to one file. To use it, simply use the following command in your terminal, where dump.xml is the Wikipedia dump
$ python3 WikiExtractor.py --infn dump.xml.bz2
(Note: If you are on a Mac, make sure that -- is really two hyphens and not an em-dash like this: —).
This will run through all of the articles, get all of the text and put it in wiki.txt. This version also supports compression (BZip2 and Gzip), so you can use
dump.xml.gz instead of
dump.xml. You can also compress (Bzip2) the output file by adding
--compress to the command.
You can also run
python3 WikiExtractor.py --help to get more details.