CAMeL-Lab/camelparser-dialects-MSA-EGY-GLF

CamelParser-Dialects

CamelParser-Dialects is a neural dependency parsing model for dialectal Arabic and Modern Standard Arabic (MSA), designed under the CATiB dependency formalism.

It is based on the biaffine attention parser architecture introduced by Dozat and Manning (2017), implemented using SuPar. The model leverages CamelBERT-MIX, a pretrained language model trained on a large and diverse Arabic corpus.

Full details are available in our paper: "Parsing Arabic Dialects Revisited: New Benchmarks, Models, and Insights"

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📊 Model Variants and LAS (Labeled Attachment Score) on TEST

	Checkpoint	Training Data	MSA	EGY	GLF	AVG
	CAMeL-Lab/camelparser-dialects-MSA	CamelTB, PATB	87.3	73.0	73.3	77.9
	CAMeL-Lab/camelparser-dialects-EGY	ARZTB	79.2	83.9	68.7	77.3
	CAMeL-Lab/camelparser-dialects-GLF	CamelTB-Gumar	65.4	58.7	73.8	66.0
	CAMeL-Lab/camelparser-dialects-MSA-EGY	CamelTB, PATB, ARZTB	87.1	84.4	70.1	79.8
	CAMeL-Lab/camelparser-dialects-MSA-GLF	CamelTB, PATB, CamelTB-Gumar	87.2	74.4	81.0	80.9
	CAMeL-Lab/camelparser-dialects-EGY-GLF	ARZTB, CamelTB-Gumar	80.0	83.8	79.4	81.1
☑️	CAMeL-Lab/camelparser-dialects-MSA-EGY-GLF	CamelTB, PATB, ARZTB, CamelTB-Gumar	87.2	84.2	80.3	83.9

The recommended checkpoint is the all-variety model (MSA-EGY-GLF), which provides the best overall cross-dialect performance.

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🧠 Model Architecture

• Encoder: CamelBERT-MIX
• Parser: Deep biaffine attention (Dozat & Manning, 2017)
• Framework: SuPar
• Formalism: CATiB dependency scheme

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📚 Training Data

The models are trained on combinations of the following treebanks:

• CamelTB (MSA): camel_treebank_1.1.zip
• PATB (Penn Arabic Treebank): LDC2010T13, LDC2011T09, LDC2010T08
• ARZTB (Egyptian Arabic Treebank): LDC2018T23
• CamelTB-Gumar (Gulf Arabic): CamelTB-Gumar.1.0.zip

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🚀 Intended Use

This model is intended for:

• Dependency parsing of Arabic text
• Linguistic analysis of dialectal Arabic

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🔧 Usage

For usage instructions and code, please refer to the official repository:

👉 https://github.com/CAMeL-Lab/camel_parser_dialects

📖 Citation

If you use this model, please cite:

@inproceedings{Elshabrawy:2026:camelparser-dialects,
    title = "{Parsing Arabic Dialects Revisited: New Benchmarks, Models, and Insights}",
    author = {Ahmed Elshabrawy and
              Go Inoue and
              Muhammed AbuOdeh and
              Nizar Habash} ,
    booktitle = {Proceedings of The 7th Workshop on Open-Source Arabic Corpora and Processing Tools (OSACT)},
    year = "2026",
    address = "Palma, Spain"
}