Work

Lisan: Yemeni, Iraqi, Libyan, and Sudanese Arabic Dialect Corpora with Morphological Annotations

Year: 2023

Type: conference-paper

Source: IEEE/ACS International Conference on Computer Systems and Applications (AICCSA)

DOI: 10.1109/aiccsa59173.2023.10479250

Authors: Mustafa Jarrar, Fadi A Zaraket, Tymaa Hammouda, Daanish Masood Alavi, Martin Wählisch

Institutions: Birzeit University, American University of Beirut, United Nations

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4393407232

FWCI: 0.533

Cites: 36

Cited by: 3

Related to: 10