LDC Arabic Treebanks and Associated Corpora: Data Divisions Manual
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Abstract (arXiv)
The Linguistic Data Consortium (LDC) has developed hundreds of data corpora for natural language processing (NLP) research. Among these are a number of annotated treebank corpora for Arabic. Typically, these corpora consist of a single collection of annotated documents. NLP research, however, usually requires multiple data sets for the purposes of training models, developing techniques, and final evaluation. Therefore it becomes necessary to divide the corpora used into the required data sets (divisions). This document details a set of rules that have been defined to enable consistent divisions for old and new Arabic treebanks (ATB) and related corpora.
Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). First posted on arXiv 22 Sep 2013.
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Citing papers per year: 2021: 2; 2022: 2; 2023: 2; 2024: 3; 2025: 1; 2026: 1.
11 papers.
- 2021Morphosyntactic Tagging with Pre-trained Language Models for Arabic and its Dialectscited by 14
- 2022ArzEn-ST: A Three-way Speech Translation Corpus for Code-Switched Egyptian Arabic - Englishcited by 13
- 2022Investigating Lexical Replacements for Arabic-English Code-Switched Data Augmentationcited by 9
- 2024The SAMER Arabic Text Simplification Corpuscited by 9
- 2021Improving Arabic Diacritization by Learning to Diacritize and Translatecited by 6
- 2024Arabic Text Diacritization In The Age Of Transfer Learning: Token Classification Is All You Needcited by 4
- 2023Data Augmentation Techniques for Machine Translation of Code-Switched Texts: A Comparative Studycited by 3
- 2023Take the Hint: Improving Arabic Diacritization with Partially-Diacritized Textcited by 2
- 2024Computational Morphology and Lexicography Modeling of Modern Standard Arabic Nominalscited by 1
- 2025Lemmatization as a Classification Task: Results from Arabic across Multiple Genrescited by 0
- 2026Arabic Morphosyntactic Tagging and Dependency Parsing with Large Language Modelscited by 0
- 2026Arabic Morphosyntactic Tagging and Dependency Parsing with Large Language Models17 Mar 2026
- 2025Lemmatization as a Classification Task: Results from Arabic across Multiple Genres23 Jun 2025
- 2024The SAMER Arabic Text Simplification Corpus29 Apr 2024
- 2024Computational Morphology and Lexicography Modeling of Modern Standard Arabic Nominals1 Feb 2024
- 2024Arabic Text Diacritization In The Age Of Transfer Learning: Token Classification Is All You Need9 Jan 2024
- 2023Data Augmentation Techniques for Machine Translation of Code-Switched Texts: A Comparative Study23 Oct 2023
- 2023Take the Hint: Improving Arabic Diacritization with Partially-Diacritized Text6 Jun 2023
- 2022ArzEn-ST: A Three-way Speech Translation Corpus for Code-Switched Egyptian Arabic - English22 Nov 2022
- 2022Investigating Lexical Replacements for Arabic-English Code-Switched Data Augmentation25 May 2022
- 2021Morphosyntactic Tagging with Pre-trained Language Models for Arabic and its Dialects13 Oct 2021
- 2021Improving Arabic Diacritization by Learning to Diacritize and Translate29 Sep 2021