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OSACT6 Dialect to MSA Translation Shared Task Overview

Proceedings of the 6th Workshop on Open-Source Arabic Corpora and Processing Tools (OSACT) with Shared Tasks on Arabic LLMs Hallucination and Dialect to MSA Machine Translation @ LREC-COLING 2024

DOI:10.63317/2jsust5deuro

Abstract

This paper presents the Dialectal Arabic (DA) to Modern Standard Arabic (MSA) Machine Translation (MT) shared task in the sixth Workshop on Open-Source Arabic Corpora and Processing Tools (OSACT6). The paper describes the creation of the validation and test data and the metrics used; and provides a brief overview of the submissions to the shared task. In all, 29 teams signed up and 6 teams made actual submissions. The teams used a variety of datasets and approaches to build their MT systems. The most successful submission involved using zero-shot and n-shot prompting of chatGPT.

Details

Paper ID
lrec2024-ws-osact-11
Pages
pp. 93-97
BibKey
elneima-etal-2024-osact6
Editor
N/A
Publisher
European Language Resources Association (ELRA) and ICCL
ISSN
N/A
ISBN
N/A
Workshop
Proceedings of the 6th Workshop on Open-Source Arabic Corpora and Processing Tools (OSACT) with Shared Tasks on Arabic LLMs Hallucination and Dialect to MSA Machine Translation @ LREC-COLING 2024
Location
undefined, undefined
Date
20 May 2024 25 May 2024

Authors

  • AE

    Ashraf Hatim Elneima

  • AA

    AhmedElmogtaba Abdelmoniem Ali Abdelaziz

  • KD

    Kareem Darwish

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