This experimental Python module will modernize English text strings from early modern spelling into modern spellings, e.g. "dogge" will become "dog." It is made possible by the excellent MorphAdorner, which provides many NLP tools for early modern texts, including spelling modernization and regularization.
The module is for short demonstrations of the importance of spelling regularization or quick tests ONLY---for any serious text-processing tasks, I highly recommend using MorphAdorner directly.
Because regularize is still a work in progress, I have not yet made it available on the Python Package Index, which means you cannot install with pip. To install manually, download the files or clone this repo, then go to this directory on your command line and type:
python setup.py install
This installation should work for both Python 2.7 and 3.x.
Once regularize is installed, import with from regularize import regularize as reg. The module has only one function, modernize:
reg.modernize("Any text string.")
And that's it!
regularize follows the same license and disclaimers as Morphadorner, which can be found here.