Voynich Manuscript Parser and Resources

Pure Python parser for the IVTFF-formatted ZL transliteration of the Voynich Manuscript.

Intended for NLP/ML/DL use on the Voynich Manuscript.

Installation

pip install voynich

PyPi page

Example Usage

voynich.VoynichManuscript is what you'll likely mostly be using, it contains voynich.Pages, which contain voynich.Lines.

Example usage (subject to change):

>>> from voynich import VoynichManuscript

>>> vm = VoynichManuscript(path_to_txt, inline_comments=False)

>>> print(vm)
VoynichManuscript(num_pages=227, inline_comments=False)

>>> print(vm.pages["f1r"])
Page(page_name=f1r, quire_num=None, folio_num=None, num_lines=31, illust_type=None)

>>> print(vm.pages["f1r"][0])
Line(<%>fachys.ykal.ar.ataiin.shol.shory.[cth:oto]res.y.kor.sholdy)

>>> print(vm.pages["f1r"][0].text)
<%>fachys.ykal.ar.ataiin.shol.shory.[cth:oto]res.y.kor.sholdy

>>> print(vm.get_paragraphs()[0])
'fachys.ykal.ar.ataiin.shol.shory.cthres.y.kor.sholdy.sory.ckhar.or,y.kair.chtaiin.shar.ase.cthar.cthar,dansyaiir.sheky.or.ykaiin.shod.cthoary.cthes.daraiin.sysoiin.oteey.oteos,roloty.cthiar,daiin.okaiin.or.okansair,y.chear.cthaiin.cphar.cfhaiinydaraishy'

Each Page object also contains a list of paragraphs Page.paragraphs. These paragraphs have some additional processing on them, removing paragraph markers (<%> and <$>), gap indicators (<->), and (currently) chooses the first possible interpretation of ambiguous characters (i.e. [o:a] -> o). For future work, will update paragraph parser to produce one paragraph for every possible combination of ambiguous characters.