Section: New Results
Language resources and NLP tools for Medieval French
Participants : Éric Villemonte de La Clergerie, Mathilde Regnault, Benoît Sagot.
The main objectives of the ANR project “Profiterole” are to automatically annotate a large corpus of medieval French (9th-15th centuries) in dependency syntax and to provide a methodology for dealing with heterogeneous data like such a corpus (because of diachronic, dialectal, geographic, stylistic and genre-based variation, among other types of linguistic variation). To this end, we have continued previous experiments in morpho-syntactic tagging by trying to determine which parameters and which training sets are the best ones to use when annotating a new text. We explored two approaches for syntactic annotation (i.e. parsing). On the one hand, an ongoing thesis aims at adapting the FRMG metagrammar to medieval French, notably by changing the constraints on certain syntactic phenomena and relaxing the order of words. The development of the OFrLex lexicon has started within the Alexina framework, following the Lefff lexicon for contemporary French . It already allowed for preliminary experiments. On the other hand, we conducted parsing experiments with neural models (DyALog's SRNN models). Note that members of the ALMAnaCH team participated in the CoNLL dependency parsing Shared Task 2018, which included an Old French dataset (see section 6.2).