  At a time when the quantity of - more or less freely - available data is
increasing significantly, thanks to digital corpora, editions or libraries, the
development of data mining tools or deep learning methods allows researchers to
build a corpus of study tailored for their research, to enrich their data and
to exploit them.Open optical character recognition (OCR) tools can be adapted
to old prints, incunabula or even manuscripts, with usable results, allowing
the rapid creation of textual corpora. The alternation of training and
correction phases makes it possible to improve the quality of the results by
rapidly accumulating raw text data. These can then be structured, for example
in XML/TEI, and enriched.The enrichment of the texts with graphic or linguistic
annotations can also be automated. These processes, known to linguists and
functional for modern languages, present difficulties for languages such as
Medieval Occitan, due in part to the absence of big enough lemmatized corpora.
Suggestions for the creation of tools adapted to the considerable spelling
variation of ancient languages will be presented, as well as experiments for
the lemmatization of Medieval and Premodern Occitan.These techniques open the
way for many exploitations. The much desired increase in the amount of
available quality texts and data makes it possible to improve digital philology
methods, if everyone takes the trouble to make their data freely available
online and reusable.By exposing different technical solutions and some
micro-analyses as examples, this paper aims to show part of what digital
philology can offer to researchers in the Occitan domain, while recalling the
ethical issues on which such practices are based.
