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UoT at NADI 2023 shared task: Automatic Arabic Dialect Identification is Made Possible

Year: 2023

Type: conference-paper

Abstract: In this paper we present our approach towards Arabic Dialect identification which was part of the The Fourth Nuanced Arabic Dialect Identification Shared Task (NADI 2023).We tested several techniques to identify Arabic dialects.We obtained the best result by fine-tuning the pre-trained MARBERTv2 model with a modified training dataset.The training set was expanded by sorting tweets based on dialects, concatenating every two adjacent tweets, and adding them to the original dataset as new tweets.We achieved 82.87 on F1 score and we were at the seventh position among 16 participants.

Source: Arabic Natural Language Processing Conference (ArabicNLP)

DOI: 10.18653/v1/2023.arabicnlp-1.64

Authors: Abduslam F A Nwesri, Nabila A S Shinbir, Hassan Ebrahem

Institution: University of Tripoli

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4389518310

FWCI: 0.177

Cites: 13

Cited by: 1

Related to: 10