Magali S. Duran


2026

This paper reports on an effort to recover the classical morphosyntactically annotated corpus MacMorpho and realign it with the current version of the Universal Dependencies framework. We introduce a knowledge-rich approach grounded in a syntactic parser and on a specially designed tagset compatibility strategy in order to generate a "silver-standard" resource: the MacMorpho-UD-2.17. We evaluate this resource through multiple complementary methods, providing evidence for the quality of both our approach and the resulting annotation.

2024

2023

2022