readme: ---
  license: mit
  tags:
  - flair
  - token-classification
  - sequence-tagger-model
  language: de
  widget:
  - text: "Namlich das Hanns Mulheim zer wirtshus zu Buchse sol gredt haben von Herren von Bern habind die von Zürich verratten oder wollend sy verratten."
  ---
  
  # Turmbücher NER
  
  A model for historical German developed by Ismail Prada Ziegler as part of a research project at the University of Bern, Digital Humanities.
  
  ## Performance
  
  | | PER | ORG | LOC | Micro-Avg |
  | :---: | :---: | :---: | :---: | :---: |
  | Precision | 82.46% | 28.81% | 88.51% | 81.21% |
  | Recall | 88.51% | 44.74% | 83.02% | 83.99% |
  | F1-Score | 85.38% | 35.05% | 85.67% | 82.57% |
  
  Note: ORG-tags were too inconsistent in the training data and performed poorly.
  
  We discovered in first experiments that the model also performs reasonably well on automatically transcribed text (CER of around 5%). 
  
  ## Data Set
  
  Main data set: [Berner Turmbücher](https://www.polit-forum-bern.ch/turmbuecher/), early volumes from 16th C., Early New High German, 61k tokens training data.
  
  Secondary data sets:
  - [SSRQ](https://www.ssrq-sds-fds.ch/home/) - Fribourg, language model + tagging, 59k tokens. 
  - [Chorgerichtsmanuale](https://www.adfontes.uzh.ch/370540/training/deutsche-transkriptionsuebungen/chorgerichtsmanuale-einleitung) (unpublished), language model + tagging, 76k tokens.
  - [Königsfelden Charters](https://www.koenigsfelden.uzh.ch/), language model, 623k tokens.
  - Talgerichtsprotokolle (unpublished), language model, 438k tokens.
  
  ## Notice
  
  This project is still in progress.
  
  