---
title: "Who cites On the Importance of Tokenization in Arabic…"
description: "The papers of the Elamur Research library that cite «On the Importance of Tokenization in Arabic Embedding Models», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/aclbulk-2020-alkaoud-importance-tokenization-arabic-embedding-models/cited-by/"
---
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# Who cites «On the Importance of Tokenization in Arabic Embedding Models»

11 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/aclbulk-2020-alkaoud-importance-tokenization-arabic-embedding-models/)

1. [A Comprehensive Survey of Contemporary Arabic Sentiment Analysis: Methods, Challenges, and Future Directions](https://aclanthology.org/2025.findings-naacl.208/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
2. [Automated Authentication of Quranic Verses Using BERT (Bidirectional Encoder Representations from Transformers) based Language Models](https://aclanthology.org/2025.clrel-1.6/) *— 2025 · Proceedings of the New Horizons in Computational Linguistics for Religious Texts*
3. [Beyond Literal Token Overlap: Token Alignability for Multilinguality](https://aclanthology.org/2025.naacl-short.63/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)*
4. [DeformAr: Rethinking NER Evaluation through Component Analysis and Visual Analytics](https://arxiv.org/abs/2512.00938) *— 2025 · arXiv:2512.00938*
5. [Semitic Root Encoding: Tokenization Based on the Templatic Morphology of Semitic Languages in NMT](https://md.research.elamur.ai/free/en/papers/aclbulk-2025-hatch-semitic-root-encoding-tokenization-based/) *— our card · 2025 · Proceedings of The Third Arabic Natural Language Processing Conference*
6. [The Effect of Model Capacity and Script Diversity on Subword Tokenization for Sorani Kurdish](https://aclanthology.org/2024.sigmorphon-1.6/) *— 2024 · Proceedings of the 21st SIGMORPHON workshop on Computational Research in Phonetics, Phonology, and Morphology*
7. [Explicit Morphological Knowledge Improves Pre-training of Language Models for Hebrew](https://md.research.elamur.ai/free/en/papers/langstream-2023-gueta-explicit-morphological-knowledge-improves-pre/) *— our card · 2023 · arXiv:2311.00658*
8. [Investigating Zero-shot Cross-lingual Language Understanding for Arabic](https://aclanthology.org/2023.arabicnlp-1.26/) *— 2023 · Proceedings of ArabicNLP 2023*
9. [An Embarrassingly Simple Method to Mitigate Undesirable Properties of Pretrained Language Model Tokenizers](https://aclanthology.org/2022.acl-short.43/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
10. [Evaluating Various Tokenizers for Arabic Text Classification](https://arxiv.org/abs/2106.07540) *— 2021 · arXiv:2106.07540*
11. [You should evaluate your language model on marginal likelihood over tokenisations](https://aclanthology.org/2021.emnlp-main.161/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*