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# Who cites «Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging»

13 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2017-sajjad-challenging-language-dependent-segmentation-arabic/)

1. [AraDiCE: Benchmarks for Dialectal and Cultural Capabilities in LLMs](https://aclanthology.org/2025.coling-main.283/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
2. [Fanar: An Arabic-Centric Multimodal Generative AI Platform](https://arxiv.org/abs/2501.13944) *— 2025 · arXiv:2501.13944*
3. [Benchmarking LLaMA-3 on Arabic Language Generation Tasks](https://aclanthology.org/2024.arabicnlp-1.24/) *— 2024 · Proceedings of the Second Arabic Natural Language Processing Conference*
4. [Optimizing Word Alignments with Better Subword Tokenization](https://aclanthology.org/2021.mtsummit-research.21/) *— 2021 · Proceedings of Machine Translation Summit XVIII: Research Track*
5. [AraBench: Benchmarking Dialectal Arabic-English Machine Translation](https://aclanthology.org/2020.coling-main.447/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
6. [One Size Does Not Fit All: Comparing NMT Representations of Different Granularities](https://aclanthology.org/N19-1154/) *— 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)*
7. [How Robust Are Character-Based Word Embeddings in Tagging and MT Against Wrod Scramlbing or Randdm Nouse?](https://aclanthology.org/W18-1807/) *— 2018 · Proceedings of the 13th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
8. [Incremental Decoding and Training Methods for Simultaneous Translation in Neural Machine Translation](https://aclanthology.org/N18-2079/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)*
9. [Morphological Word Embeddings for Arabic Neural Machine Translation in Low-Resource Settings](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2018-shapiro-morphological-word-embeddings-arabic-neural/) *— our card · 2018 · Proceedings of the Second Workshop on Subword/Character LEvel Models*
10. [Neural Machine Translation Training in a Multi-Domain Scenario](https://aclanthology.org/2017.iwslt-1.10/) *— 2017 · Proceedings of the 14th International Conference on Spoken Language Translation*
11. [Synthetic and Natural Noise Both Break Neural Machine Translation](https://arxiv.org/abs/1711.02173) *— 2017 · arXiv:1711.02173*
12. [What do Neural Machine Translation Models Learn about Morphology?](https://aclanthology.org/P17-1080/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
13. asgari-2026-morphbpe-morphology-aware-tokenization-efficient
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