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",
}