DziriBERT: a Pre-trained Language Model for the Algerian Dialect

Last update: Jan 7, 2023

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Overview

DziriBERT

DziriBERT is the first Transformer-based Language Model that has been pre-trained specifically for the Algerian Dialect. It handles Algerian text contents written using both Arabic and Latin characters. It sets new state of the art results on Algerian text classification datasets, even if it has been pre-trained on much less data (~1 million tweets).

The model is publicly available at: https://huggingface.co/alger-ia/dziribert.

For more information, please visit our paper: https://arxiv.org/pdf/2109.12346.pdf

Evaluation

The Twifil dataset was used to compare DziriBERT with current multilingual, standard Arabic and dialectal Arabic models:

Model	Sentiment acc.	Emotion acc.
bert-base-multilingual-cased	73.6 %	59.4 %
aubmindlab/bert-base-arabert	72.1 %	61.2 %
CAMeL-Lab/bert-base-arabic-camelbert-mix	77.1 %	65.7 %
qarib/bert-base-qarib	77.7 %	67.6 %
UBC-NLP/MARBERT	80.1 %	68.4 %
alger-ia/dziribert	80.3 %	69.3 %

In order to reproduce these results, please install the following requirements:

pip install -r requirements.txt

Then, run the following evaluation script:

python3 evaluate_model.py

These results have been obtained on a Tesla K80 GPU.

Pretrained DziriBERT

DziriBERT has been uploaded to the HuggingFace hub in order to facilitate its use: https://huggingface.co/alger-ia/dziribert.

It can be easily downloaded and loaded using the transformers library:

from transformers import BertTokenizer, BertForMaskedLM

tokenizer = BertTokenizer.from_pretrained("alger-ia/dziribert")
model = BertForMaskedLM.from_pretrained("alger-ia/dziribert")

How to cite

@article{dziribert,
  title={DziriBERT: a Pre-trained Language Model for the Algerian Dialect},
  author={Abdaoui, Amine and Berrimi, Mohamed and Oussalah, Mourad and Moussaoui, Abdelouahab},
  journal={arXiv preprint arXiv:2109.12346},
  year={2021}
}

Contact

Please contact [email protected] for any question, feedback or request.

Comments

config.json not found
Salam team,

Just went through the example, I got this error:

HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/dziribert/resolve/main/config.json

Looks like the link to the config.json file has changed? P.S. I've tried this demo in colab/gitpod and got the same error message.

Regards
opened by bitsnaps 6
Preprocessing on sentiment data

Hi, great work!

Didn't you performed same preprocessing steps on sentiment data as you did for pre training data? I see in the evaluate_model.py that raw data is used.

Thanks

opened by KamelGaanoun 1

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DziriBERT: a Pre-trained Language Model for the Algerian Dialect

Related tags

Overview

DziriBERT

Evaluation

Pretrained DziriBERT

How to cite

Contact

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Comments

config.json not found

Preprocessing on sentiment data

Owner

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