Ali Fadel

4 papers on this site · 2019–2023

The profile is the library's match of the name; two people with one name are not always told apart.

Topics

The most cited first (OpenAlex and our library).

Arabic Text Diacritization Using Deep Neural Networks (2019 · 71 citations)
Arabic is usually written without most of its short-vowel marks (diacritics), yet these marks decide pronunciation and meaning.
Neural Arabic Text Diacritization: State of the Art Results and a Novel Approach for Machine Translation (2019 · 32 citations)
The paper predicts the diacritics (short vowels and gemination marks) of Arabic text character by character.
Taqyim: Evaluating Arabic NLP Tasks Using ChatGPT Models (2023 · 25 citations)
The paper investigates how well general-purpose chat LLMs handle Arabic, a language that makes up a small share of their training data.
Masader Plus: A New Interface for Exploring +500 Arabic NLP Datasets (2022 · 16 citations)
Arabic NLP has produced a large number of datasets, but finding, comparing and reusing them is hard. Earlier listings were either literature reviews or plain catalogues that could not be searched in a useful way. The authors build on the Masader metadata catalogue (Alyafeai et al., 2021) and add Masader Plus, an…

8 co-authors with a page, the most papers together first.

Papers of our library cite their works 75 times (of the 140 884 papers whose bibliographies we read); 23 citing papers with a page here →.