@inproceedings{elneima-etal-2024-osact6,
title = "{OSACT}6 Dialect to {MSA} Translation Shared Task Overview",
author = "Elneima, Ashraf Hatim and
Abdelaziz, AhmedElmogtaba Abdelmoniem Ali and
Darwish, Kareem",
editor = "Al-Khalifa, Hend and
Darwish, Kareem and
Mubarak, Hamdy and
Ali, Mona and
Elsayed, Tamer",
booktitle = "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",
month = may,
year = "2024",
address = "Torino, Italia",
publisher = "ELRA and ICCL",
url = "https://aclanthology.org/2024.osact-1.11",
pages = "93--97",
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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T OSACT6 Dialect to MSA Translation Shared Task Overview
%A Elneima, Ashraf Hatim
%A Abdelaziz, AhmedElmogtaba Abdelmoniem Ali
%A Darwish, Kareem
%Y Al-Khalifa, Hend
%Y Darwish, Kareem
%Y Mubarak, Hamdy
%Y Ali, Mona
%Y Elsayed, Tamer
%S 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
%D 2024
%8 May
%I ELRA and ICCL
%C Torino, Italia
%F elneima-etal-2024-osact6
%X 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.
%U https://aclanthology.org/2024.osact-1.11
%P 93-97
Markdown (Informal)
[OSACT6 Dialect to MSA Translation Shared Task Overview](https://aclanthology.org/2024.osact-1.11) (Elneima et al., OSACT-WS 2024)
ACL
- Ashraf Hatim Elneima, AhmedElmogtaba Abdelmoniem Ali Abdelaziz, and Kareem Darwish. 2024. OSACT6 Dialect to MSA Translation Shared Task Overview. In 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, pages 93–97, Torino, Italia. ELRA and ICCL.