[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2017-samih-neural-architecture-dialectal-arabic-segmentation/)

[home](https://md.mova.elamur.ai/free/en/) / [docs](https://md.mova.elamur.ai/free/en/docs/) / [papers](https://md.mova.elamur.ai/free/en/docs/papers/) / [cited-by](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/) / Who cites «A Neural Architecture for Dialectal Arabic Segmentation»

# Who cites «A Neural Architecture for Dialectal Arabic Segmentation»

12 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-samih-neural-architecture-dialectal-arabic-segmentation/)

1. [QASR: QCRI Aljazeera Speech Resource A Large Scale Annotated Arabic Speech Corpus](https://aclanthology.org/2021.acl-long.177/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
2. [Towards One Model to Rule All: Multilingual Strategy for Dialectal Code-Switching Arabic ASR](https://arxiv.org/abs/2105.14779) *— 2021 · arXiv:2105.14779*
3. [A Joint Approach to Compound Splitting and Idiomatic Compound Detection](https://aclanthology.org/2020.lrec-1.543/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
4. [Morphological Analysis and Disambiguation for Gulf Arabic: The Interplay between Resources and Methods](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2020-khalifa-morphological-analysis-disambiguation-gulf-arabic/) *— our card · 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
5. [Arabic natural language processing: An overview](https://arxiv.org/abs/1903.02784) *— 2019 · arXiv:1903.02784*
6. [Image Classification for Arabic: Assessing the Accuracy of Direct English to Arabic Translations](https://arxiv.org/abs/1807.05206) *— 2018 · arXiv:1807.05206 · IEEE Access 2019*
7. [Arabic Multi-Dialect Segmentation: bi-LSTM-CRF vs. SVM](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2017-eldesouki-arabic-multi-dialect-segmentation-bi/) *— our card · 2017 · arXiv:1708.05891*
8. [Learning from Relatives: Unified Dialectal Arabic Segmentation](https://aclanthology.org/K17-1043/) *— 2017 · Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017)*
9. ali-2018-impact-du-pretraitement-linguistique-sur
10. attia-2019-segmentation-domain-adaptation-arabic
11. bezancon-2025-lost-variation-extraction-non-supervisee
12. mokh-2022-improving-pos-tagging-arabic-dialects
- [← previous Who cites «Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2017-sajjad-challenging-language-dependent-segmentation-arabic/)
- [next → Who cites «Don't Throw Those Morphological Analyzers Away Just Yet: Neural Morphological Disambiguation for Arabic»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2017-zalmout-don-t-throw-those-morphological/)
- [↑ back to papers/cited-by/](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/)