activity
20192022
most citedNADI 2020: The First Nuanced Arabic Dialect Identification Shared Task

57 citations · 224 across the 28 of their papers we have counts for

collaborators
Showing 2020 · cs.CLShow all

9 papers · 2 filters

cs.CL2020★ 4 cited

Translating Similar Languages: Role of Mutual Intelligibility in Multilingual Transformers

Ife Adebara, El Moatez Billah Nagoudi, Muhammad Abdul Mageed

We investigate different approaches to translate between similar languages under low resource conditions, as part of our contribution to the WMT 2020 Similar Languages Translation…

cs.CL2020★ 57 cited

NADI 2020: The First Nuanced Arabic Dialect Identification Shared Task

Muhammad Abdul-Mageed, Chiyu Zhang, Houda Bouamor +1

We present the results and findings of the First Nuanced Arabic Dialect Identification Shared Task (NADI). This Shared Task includes two subtasks: country-level dialect identificat…

cs.CL2020★ 41 cited

Machine Generation and Detection of Arabic Manipulated and Fake News

El Moatez Billah Nagoudi, AbdelRahim Elmadany, Muhammad Abdul-Mageed +2

Fake news and deceptive machine-generated text are serious problems threatening modern societies, including in the Arab world. This motivates work on detecting false and manipulate…

cs.CL2020

Automatic Detection of Machine Generated Text: A Critical Survey

Ganesh Jawahar, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan

Text generative models (TGMs) excel in producing text that matches the style of human language reasonably well. Such TGMs can be misused by adversaries, e.g., by automatically gene…

cs.CL2020

Toward Micro-Dialect Identification in Diaglossic and Code-Switched Environments

Muhammad Abdul-Mageed, Chiyu Zhang, AbdelRahim Elmadany +1

Although the prediction of dialects is an important language processing task, with a wide range of applications, existing work is largely limited to coarse-grained varieties. Inspi…

cs.CL2020

One Model to Pronounce Them All: Multilingual Grapheme-to-Phoneme Conversion With a Transformer Ensemble

Kaili Vesik, Muhammad Abdul-Mageed, Miikka Silfverberg

The task of grapheme-to-phoneme (G2P) conversion is important for both speech recognition and synthesis. Similar to other speech and language processing tasks, in a scenario where…