2 citations · 4 across the 11 of their papers we have counts for
11 papers
Romanized Arabic Across Dialects: Views, Usage Patterns, and Linguistic Variation
Amr Keleg, Ahmed Amine Ben Abdallah, Taha Yassine +3
Arabizi refers to Arabic written in Latin script. Although previous studies have shown that the prevalence and usage of Arabizi vary by factors such as region and age group, most N…
Constrained CTC Decoding for Efficient Diacritic Restoration
Rufael Marew, Amr Keleg, Hanan Aldarmaki
In this work, we address diacritic restoration for Arabic speech transcripts. Most speech data are undiacritized, limiting the ability of modeling fine-grained phonological distinc…
Curriculum Learning and Pseudo-Labeling Improve the Generalization of Multi-Label Arabic Dialect Identification Models
Ali Mekky, Mohamed El Zeftawy, Lara Hassan +2
Being modeled as a single-label classification task for a long time, recent work has argued that Arabic Dialect Identification (ADI) should be framed as a multi-label classificatio…
CommonLID: Re-evaluating State-of-the-Art Language Identification Performance on Web Data
Pedro Ortiz Suarez, Laurie Burchell, Catherine Arnett +94
Language identification (LID) is a fundamental step in curating multilingual corpora. However, LID models still perform poorly for many languages, especially on the noisy and heter…
Revisiting Common Assumptions about Arabic Dialects in NLP
Amr Keleg, Sharon Goldwater, Walid Magdy
Arabic has diverse dialects, where one dialect can be substantially different from the others. In the NLP literature, some assumptions about these dialects are widely adopted (e.g.…
LLM Alignment for the Arabs: A Homogenous Culture or Diverse Ones?
Amr Keleg
Large language models (LLMs) have the potential of being useful tools that can automate tasks and assist humans. However, these models are more fluent in English and more aligned w…
NADI 2024: The Fifth Nuanced Arabic Dialect Identification Shared Task
Muhammad Abdul-Mageed, Amr Keleg, AbdelRahim Elmadany +5
We describe the findings of the fifth Nuanced Arabic Dialect Identification Shared Task (NADI 2024). NADI's objective is to help advance SoTA Arabic NLP by providing guidance, data…
Estimating the Level of Dialectness Predicts Interannotator Agreement in Multi-dialect Arabic Datasets
Amr Keleg, Walid Magdy, Sharon Goldwater
On annotating multi-dialect Arabic datasets, it is common to randomly assign the samples across a pool of native Arabic speakers. Recent analyses recommended routing dialectal samp…
ALDi: Quantifying the Arabic Level of Dialectness of Text
Amr Keleg, Sharon Goldwater, Walid Magdy
Transcribed speech and user-generated text in Arabic typically contain a mixture of Modern Standard Arabic (MSA), the standardized language taught in schools, and Dialectal Arabic…
Arabic Dialect Identification under Scrutiny: Limitations of Single-label Classification
Amr Keleg, Walid Magdy
Automatic Arabic Dialect Identification (ADI) of text has gained great popularity since it was introduced in the early 2010s. Multiple datasets were developed, and yearly shared ta…
DLAMA: A Framework for Curating Culturally Diverse Facts for Probing the Knowledge of Pretrained Language Models
Amr Keleg, Walid Magdy
A few benchmarking datasets have been released to evaluate the factual knowledge of pretrained language models. These benchmarks (e.g., LAMA, and ParaRel) are mainly developed in E…