Work

Guidelines and Framework for a Large Scale Arabic Diacritized Corpus

Year: 2016

Type: conference-paper

Abstract: This paper presents the annotation guidelines developed as part of an effort to create a large scale manually diacritized corpus for various Arabic text genres.The target size of the annotated corpus is 2 million words.We summarize the guidelines and describe issues encountered during the training of the annotators.We also discuss the challenges posed by the complexity of the Arabic language and how they are addressed.Finally, we present the diacritization annotation procedure and detail the quality of the resulting annotations.

Source: Language Resources and Evaluation Conference (LREC)

DOI: 10.63317/55fzrvtc3pvd

Authors: Wajdi Zaghouani, Houda Bouamor, Abdelati Hawwari, Mona Diab, Ossama Obeid, Mahmoud Ghoneim, Sawsan Alqahtani, Kemal Oflazer

Institutions: Carnegie Mellon University Qatar, Carnegie Mellon University, George Washington University

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W2571755499

FWCI: 1.796

Cites: 21

Cited by: 13

Related to: 10