readme: ---
  language: fr
  tags:
  - Early Modern French
  - Historical
  - POS
  - flair
  license: apache-2.0
  datasets:
    - freemlpm
  library_name: flair
  pipeline_tag: token-classification
  ---
  
  <a href="https://portizs.eu/publication/2022/lrec/dalembert/">
  	<img width="300px" src="https://portizs.eu/publication/2022/lrec/dalembert/featured_hu18bf34d40cdc71c744bdd15e48ff0b23_61788_720x2500_fit_q100_h2_lanczos_3.webp">
  </a>
  
  # D'AlemBERT-POS model
  
  This model is fine-tuned version of a [D'AlemBERT](https://huggingface.co/pjox/dalembert) on the [FreEMLPM corpus](https://doi.org/10.5281/zenodo.6481300) for Early Modern French. It was
  introduced in [this paper](https://aclanthology.org/2022.lrec-1.359/).
  
  ### BibTeX entry and citation info
  
  ```bibtex
  @inproceedings{gabay-etal-2022-freem,
      title = "From {F}re{EM} to D{'}{A}lem{BERT}: a Large Corpus and a Language Model for Early {M}odern {F}rench",
      author = "Gabay, Simon  and
        Ortiz Suarez, Pedro  and
        Bartz, Alexandre  and
        Chagu{\'e}, Alix  and
        Bawden, Rachel  and
        Gambette, Philippe  and
        Sagot, Beno{\^\i}t",
      booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
      month = jun,
      year = "2022",
      address = "Marseille, France",
      publisher = "European Language Resources Association",
      url = "https://aclanthology.org/2022.lrec-1.359",
      pages = "3367--3374",
      abstract = "anguage models for historical states of language are becoming increasingly important to allow the optimal digitisation and analysis of old textual sources. Because these historical states are at the same time more complex to process and more scarce in the corpora available, this paper presents recent efforts to overcome this difficult situation. These efforts include producing a corpus, creating the model, and evaluating it with an NLP task currently used by scholars in other ongoing projects.",
  }
  ```