  This study introduces a pretrained large language model-based annotation
methodology for the first dependency treebank in Ottoman Turkish. Our
experimental results show that, iteratively, i) pseudo-annotating data using a
multilingual BERT-based parsing model, ii) manually correcting the
pseudo-annotations, and iii) fine-tuning the parsing model with the corrected
annotations, we speed up and simplify the challenging dependency annotation
process. The resulting treebank, that will be a part of the Universal
Dependencies (UD) project, will facilitate automated analysis of Ottoman
Turkish documents, unlocking the linguistic richness embedded in this
historical heritage.
