Haiber, Cora
A Crosslingual Approach to Dependency Parsing for Middle High German
Proceedings of the 20th Conference on Natural Language Processing (KONVENS 2024), Association for Computational Linguistics, pp. 23-31, Vienna, Austria, 2024.
This work presents the development and evaluation of a dependency parser for Middle High German Universal Dependencies utilising modern German as a support language for lowresource MHG. A neural dependency parser is trained with Stanza achieving UAS = 92.95 and LAS=88.06. To ensure the parser’s utility in facilitating and speeding up manual annotation to build a scaling UD treebank of MHG, a thorough error analysis shows the model’s structural reliability as well as frequently confused labels. Hence, this work constitutes an effort to counterbalance the under-representation of historical languages in dependency treebanks and attend to the need of historical treebanks in contemporary linguistic research by utilising the UD extensions and accordingly annotated corpora published by Dipper et al. (2024).