3 citations · 3 across the 5 of their papers we have counts for
5 papers · 1 filter
BALSAM: A Platform for Benchmarking Arabic Large Language Models
Rawan Al-Matham, Kareem Darwish, Raghad Al-Rasheed +40
The impressive advancement of Large Language Models (LLMs) in English has not been matched across all languages. In particular, LLM performance in Arabic lags behind, due to data s…
A Large and Balanced Corpus for Fine-grained Arabic Readability Assessment
Khalid N. Elmadani, Nizar Habash, Hanada Taha-Thomure
This paper introduces the Balanced Arabic Readability Evaluation Corpus (BAREC), a large-scale, fine-grained dataset for Arabic readability assessment. BAREC consists of 69,441 sen…
Guidelines for Fine-grained Sentence-level Arabic Readability Annotation
Nizar Habash, Hanada Taha-Thomure, Khalid N. Elmadani +2
This paper presents the annotation guidelines of the Balanced Arabic Readability Evaluation Corpus (BAREC), a large-scale resource for fine-grained sentence-level readability asses…
University of Cape Town's WMT22 System: Multilingual Machine Translation for Southern African Languages
Khalid N. Elmadani, Francois Meyer, Jan Buys
The paper describes the University of Cape Town's submission to the constrained track of the WMT22 Shared Task: Large-Scale Machine Translation Evaluation for African Languages. Ou…
Masader Plus: A New Interface for Exploring +500 Arabic NLP Datasets
Yousef Altaher, Ali Fadel, Mazen Alotaibi +18
Masader (Alyafeai et al., 2021) created a metadata structure to be used for cataloguing Arabic NLP datasets. However, developing an easy way to explore such a catalogue is a challe…