readme: ---
  language:
  - en
  - de
  - fr
  - it
  - nl
  - multilingual
  tags:
  - punctuation prediction
  - punctuation
  datasets: wmt/europarl
  license: mit
  widget:
  - text: "Ho sentito che ti sei laureata il che mi fa molto piacere"
    example_title: "Italian"
  - text: "Tous les matins vers quatre heures mon père ouvrait la porte de ma chambre"
    example_title: "French"
  - text: "Ist das eine Frage Frau Müller"
    example_title: "German"
  - text: "My name is Clara and I live in Berkeley California"
    example_title: "English"  
  metrics:
  - f1
  ---
  
  # Work in progress
  
  ## Classification report over all languages 
  ```
               precision    recall  f1-score   support
  
             0       0.99      0.99      0.99  47903344
             .       0.94      0.95      0.95   2798780
             ,       0.85      0.84      0.85   3451618
             ?       0.88      0.85      0.87     88876
             -       0.61      0.32      0.42    157863
             :       0.72      0.52      0.60    103789
  
      accuracy                           0.98  54504270
     macro avg       0.83      0.75      0.78  54504270
  weighted avg       0.98      0.98      0.98  54504270
  ```
  
  
  
  
  ## How to cite us
  
  ```
  @article{guhr-EtAl:2021:fullstop,
    title={FullStop: Multilingual Deep Models for Punctuation Prediction},
    author    = {Guhr, Oliver  and  Schumann, Anne-Kathrin  and  Bahrmann, Frank  and  Böhme, Hans Joachim},
    booktitle      = {Proceedings of the Swiss Text Analytics Conference 2021},
    month          = {June},
    year           = {2021},
    address        = {Winterthur, Switzerland},
    publisher      = {CEUR Workshop Proceedings},  
    url       = {http://ceur-ws.org/Vol-2957/sepp_paper4.pdf}
  }
  
  ```
  
  ```
  @misc{https://doi.org/10.48550/arxiv.2301.03319,
    doi = {10.48550/ARXIV.2301.03319},
    url = {https://arxiv.org/abs/2301.03319},
    author = {Vandeghinste, Vincent and Guhr, Oliver},
    keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences, I.2.7},
    title = {FullStop:Punctuation and Segmentation Prediction for Dutch with Transformers},
    publisher = {arXiv},
    year = {2023},  
    copyright = {Creative Commons Attribution Share Alike 4.0 International}
  }
  
  ```
  