Wietse de Vries • Martijn Bartelds • Malvina Nissim • Martijn Wieling

This repository contains everything that is needed to replicate the results in the paper:

📝 Adapting Monolingual Models: Data can be Scarce when Language Similarity is High [Findings of ACL 2021]

The best fine-tuned models for Gronings and West Frisian are available on the HuggingFace model hub:

These models are identical to BERTje, but with different lexical layers (bert.embeddings.word_embeddings).

• 🤗 GroNLP/bert-base-dutch-cased (Dutch; source language)
• 🤗 GroNLP/bert-base-dutch-cased-gronings (Gronings)
• 🤗 GroNLP/bert-base-dutch-cased-frisian (West Frisian)

These models share the same fine-tuned Transformer layers + classification head, but with the retrained lexical layers from the models above.

• 🤗 GroNLP/bert-base-dutch-cased-upos-alpino (Dutch)
• 🤗 GroNLP/bert-base-dutch-cased-upos-alpino-gronings (Gronings)
• 🤗 GroNLP/bert-base-dutch-cased-upos-alpino-frisian (West Frisian)

Conda/mamba dependencies are listed in environment.yml. This repository contains all scripts and configs that are needed to replicate the results in the paper. A more extensive usage guide will be provided later.

@inproceedings{de-vries-etal-2021-adapting,
    title = "Adapting Monolingual Models: Data can be Scarce when Language Similarity is High",
    author = "de Vries, Wietse  and
      Bartelds, Martijn  and
      Nissim, Malvina  and
      Wieling, Martijn",
    booktitle = "Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021",
    month = aug,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.findings-acl.433",
    doi = "10.18653/v1/2021.findings-acl.433",
    pages = "4901--4907",
}