Parsing Arabic Dialects Revisited: New Benchmarks, Models, and Insights

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Authors: Anonymous
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Abstract

Model Checkpoints Single-Variety Models MSA: MSA.PATB-CamelTB.CAMeLBERT-MIX.model: Trained on PATB and CamelTB (MSA) only. EGY: EGY.ARZTB.CAMeLBERT-MIX.model: Trained on ARZTB (EGY) only. GLF: GLF.GulfTB.CAMeLBERT-MIX.model: Trained on GulfTB (GLF) only. Two-Variety Models MSA+EGY: MSA-EGY.PATB-CamelTB-ARZTB.CAMeLBERT-MIX.model: Trained on PATB, CamelTB, and ARZTB (MSA + EGY). MSA+GLF: MSA-GLF.PATB-CamelTB-GulfTB.CAMeLBERT-MIX.model: Trained on PATB, CamelTB, and GulfTB (MSA + GLF). EGY+GLF: EGY-GLF.ARZTB-GulfTB.CAMeLBERT-MIX.model: Trained on ARZTB (EGY) and GulfTB (GLF). All-Variety Model MSA+EGY+GLF: MSA-EGY-GLF.PATB-CamelTB-ARZTB-GulfTB.CAMeLBERT-MIX.model: Trained on PATB, CamelTB, ARZTB, and GulfTB (MSA + EGY + GLF).

Fields of Study & Subjects

Natural Language Processing Techniques Topic Modeling Language Linguistics Cultural Analysis

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
25 February 2026
Language
EN
Document type
Dataset