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

1. A Comprehensive Survey of Contemporary Arabic Sentiment Analysis: Methods, Challenges, and Future Directions — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
2. Beyond Literal Token Overlap: Token Alignability for Multilinguality — 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)
3. Semitic Root Encoding: Tokenization Based on the Templatic Morphology of Semitic Languages in NMT — our card · 2025 · Proceedings of The Third Arabic Natural Language Processing Conference
4. Explicit Morphological Knowledge Improves Pre-training of Language Models for Hebrew — our card · 2023 · arXiv:2311.00658
5. An Embarrassingly Simple Method to Mitigate Undesirable Properties of Pretrained Language Model Tokenizers — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
6. Evaluating Various Tokenizers for Arabic Text Classification — 2021 · arXiv:2106.07540
7. You should evaluate your language model on marginal likelihood over tokenisations — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
8. alam-2025-automated-authentication-quranic-verses-bert
9. alyafeai-2023-investigating-zero-shot-cross-lingual
10. salehi-2024-effect-model-capacity-script-diversity
11. younes-2025-deformar-rethinking-ner-evaluation-through

This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2020-alkaoud-importance-tokenization-arabic-embedding-models/