Arabic Text Diacritization

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

3 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

7 shown of 7 papers with code (13 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Neural Arabic Text Diacritization: State of the Art Results and a Novel Approach for Machine Translation
  8 Nov 2019 2 repositories listed
  In this work, we present several deep learning models for the automatic diacritization of Arabic text.
• Arabic Text Diacritization Using Deep Neural Networks
  25 Apr 2019 2 repositories listed
  After constructing the dataset, existing tools and systems are tested on it.
• CATT: Character-based Arabic Tashkeel Transformer
  3 Jul 2024 1 repository listed
  Then, we applied the Noisy-Student approach to boost the performance of the best model.
• Deep Diacritization: Efficient Hierarchical Recurrence for Improved Arabic Diacritization
  1 Nov 2020 1 repository listed
  We propose a novel architecture for labelling character sequences that achieves state-of-the-art results on the Tashkeela Arabic diacritization benchmark.
• Effective Deep Learning Models for Automatic Diacritization of Arabic Text
  1 Nov 2020 1 repository listed
  We propose three deep learning models to recover Arabic text diacritics based on our work in a text-to-speech synthesis system using deep learning.
• CAMeL Tools: An Open Source Python Toolkit for Arabic Natural Language Processing
  1 May 2020 1 repository listed
  We present CAMeL Tools, a collection of open-source tools for Arabic natural language processing in Python.
• Multi-components System for Automatic Arabic Diacritization
  8 Apr 2020 1 repository listed
  In this paper, we propose an approach to tackle the problem of the automatic restoration of Arabic diacritics that includes three components stacked in a pipeline: a deep learning model which is a multi-layer recurrent…