This repository contains a couple of notebooks created to easily generate a langague model for Pie and RNNTagger for tagging and lemmatizing medieval French with no prior local installation and fastened training. Any training dataset can be used if the language-specific parameters are properly configured for each tool's parameters file. Also, it includes the possibility of tagging files from our Drive with the generated models.

We've trained a model for medieval French with RNNTagger and Pie in order to tag a number of texts with the Cattex09 morphosyntactic labels. Two different corpora are used for training :

• BFMGOLDLEM corpus, fully annotated in parts of speech (UD and Cattex POS tags) including a number of morphological labels. The lemmas in this corpus were previously standarized in a previous work. This corpus consists of 431,144 tokens distributed in 20 texts (36.1MB).
• BFMGOLD corpus, where only a small number of texts include all lemmas. It contains 1,187,061 tokens distributed in 42 texts (75.4MB).

A complete description can be found here [French]