Morphologically Annotated Orani-Arbaic Dialect Dataset (MADOran)

Published: 8 January 2025| Version 1 | DOI: 10.17632/pgr766jbhp.1
Contributors:
Majdi Sawalha,
,
,
,

Description

We introduce a new morphologically annotated dataset for the Orani Arabic dialect (ORN), comprising 33,000 words gathered from diverse genres, including written sources (11.83%) which cover topics such as college life, culture, history, humor, politics, and traditions, as well as spoken language (88.17%) spanning storytelling, music, and daily conversation. Each word is manually annotated with a fine-grained tagset that provides part-of-speech, root, pattern, and English and French translations of the glosses. The morphological annotation was performed using the Dialectal Word Annotation Tool for Arabic (DIWAN) and it followed guidelines established for The Dynamic Arabella Corpus (Arabella), with adaptations to fit the dialectal context.

Files

Steps to reproduce

The corpus consists of 2 Folders: 1- Raw data - Sentences 2- Fully Morphologically annotated dataset - Words

Institutions

The University of Jordan

Categories

Artificial Intelligence, Computational Linguistics, Annotation, Morphological Analysis, Corpus Linguistics, Corpus Analysis

Licence