Tom Vanallemeersch

On Curating HTR Training Datasets for Romanian Language with Use of Transcribathon

On Curating HTR Training Datasets for Romanian Language with use of Transcribathon Tool

The workflow applied to prepare datasets of Romanian historical documents for training language-specific HTR models or for enhancing the language coverage of general purpose models is presented and a preliminary evaluation of the effort required to create HTR training sets is presented.

Shared Task: Translating Historical Text to Contemporary Language for Improving Automatic Linguistic Annotation

This work focuses on improving part-of-speech tagging analysis of seventeenth-century Dutch, and finds the best system obtained an error reduction of 51% in comparison with the baseline of tagging unmodified text.