Who cites «Arabic Diacritization with Recurrent Neural Networks»

34 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

1. Constrained CTC Decoding for Efficient Diacritic Restoration — 2026 · arXiv:2607.18946
2. Do Diacritics Matter? Evaluating the Impact of Arabic Diacritics on Tokenization and LLM Benchmarks — our card · 2026 · Findings of the Association for Computational Linguistics: EACL 2026
3. Hebrew Diacritics Restoration using Visual Representation — our card · 2026 · Proceedings of the Second Workshop on Language Models for Low-Resource Languages (LoResLM 2026)
4. The Degree of Language Diacriticity and Its Effect on Tasks — 2026 · Proceedings of the Third Workshop on Computation and Written Language (CAWL 2026) @ LREC 2026
5. Advancing Arabic Diacritization: Improved Datasets, Benchmarking, and State-of-the-Art Models — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
6. Statistical and Neural Methods for Hawaiian Orthography Modernization — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
7. Arabic Diacritics in the Wild: Exploiting Opportunities for Improved Diacritization — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
8. Arabic Diacritization Using Morphologically Informed Character-Level Model — our card · 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
9. Interplay of Machine Translation, Diacritics, and Diacritization — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
10. Take the Hint: Improving Arabic Diacritization with Partially-Diacritized Text — 2023 · arXiv:2306.03557
11. Gulf Arabic Diacritization: Guidelines, Initial Dataset, and Results — 2022 · Proceedings of the Seventh Arabic Natural Language Processing Workshop (WANLP)
12. How Much Does Lookahead Matter for Disambiguation? Partial Arabic Diacritization Case Study — our card · 2022 · Computational Linguistics
13. Restoring Hebrew Diacritics Without a Dictionary — our card · 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
14. Improving Arabic Diacritization with Regularized Decoding and Adversarial Training — our card · 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
15. A Novel Challenge Set for Hebrew Morphological Disambiguation and Diacritics Restoration — our card · 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
16. Automated Prediction of Medieval Arabic Diacritics — 2020 · arXiv:2010.05269
17. Building a User-Generated Content North-African Arabizi Treebank: Tackling Hell — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
18. Deep Diacritization: Efficient Hierarchical Recurrence for Improved Arabic Diacritization — 2020 · Proceedings of the Fifth Arabic Natural Language Processing Workshop
19. Joint Diacritization, Lemmatization, Normalization, and Fine-Grained Morphological Tagging — our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
20. Nakdan: Professional Hebrew Diacritizer — our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
21. A System for Diacritizing Four Varieties of Arabic — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations
22. Arabic Text Diacritization Using Deep Neural Networks — 2019 · arXiv:1905.01965
23. Automatic diacritization of Tunisian dialect text using Recurrent Neural Network — 2019 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)
24. Efficient Convolutional Neural Networks for Diacritic Restoration — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
25. Highly Effective Arabic Diacritization using Sequence to Sequence Modeling — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
26. Neural Arabic Text Diacritization: State of the Art Results and a Novel Approach for Machine Translation — our card · 2019 · Proceedings of the 6th Workshop on Asian Translation
27. Diacritics Restoration Using Neural Networks — 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
28. Diacritization of Maghrebi Arabic Sub-Dialects — 2018 · arXiv:1810.06619
29. Knowledge and Rule-Based Diacritic Restoration in Serbian — 2018 · Proceedings of the Third International Conference on Computational Linguistics in Bulgaria (CLIB 2018)
30. Utilizing Character and Word Embeddings for Text Normalization with Sequence-to-Sequence Models — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
31. Arabic Diacritization: Stats, Rules, and Hacks — our card · 2017 · Proceedings of the Third Arabic Natural Language Processing Workshop
32. Exploiting Arabic Diacritization for High Quality Automatic Annotation — our card · 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
33. Guidelines and Framework for a Large Scale Arabic Diacritized Corpus — 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
34. Using Ambiguity Detection to Streamline Linguistic Annotation — 2016 · Proceedings of the Workshop on Computational Linguistics for Linguistic Complexity (CL4LC)