[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/cited-by/cl-2013-marton-dependency-parsing-modern-standard-arabic/)

[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 «Dependency Parsing of Modern Standard Arabic with Lexical and Inflectional Features»

# Who cites «Dependency Parsing of Modern Standard Arabic with Lexical and Inflectional Features»

27 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/cl-2013-marton-dependency-parsing-modern-standard-arabic/)

1. [Arabic Morphosyntactic Tagging and Dependency Parsing with Large Language Models](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2026-adel-arabic-morphosyntactic-tagging-dependency-parsing/) *— our card · 2026 · arXiv:2603.16718*
2. [Parsing Arabic Dialects Revisited: New Benchmarks, Models, and Insights](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2026-elshabrawy-parsing-arabic-dialects-revisited-new/) *— our card · 2026*
3. [Out-of-Domain Dependency Parsing for Dialects of Arabic: A Case Study](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2024-mokh-out-domain-dependency-parsing-dialects/) *— our card · 2024*
4. [CamelParser2.0: A State-of-the-Art Dependency Parser for Arabic](https://md.mova.elamur.ai/free/en/docs/papers/ud-2023-elshabrawy-camelparser2-0-state-art-dependency/) *— our card · 2023 · Proceedings of ArabicNLP 2023*
5. [Morphosyntactic Tagging with Pre-trained Language Models for Arabic and its Dialects](https://aclanthology.org/2022.findings-acl.135/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
6. [Toward Gender-Inclusive Coreference Resolution: An Analysis of Gender and Bias Throughout the Machine Learning Lifecycle*](https://aclanthology.org/2021.cl-3.19/) *— 2021*
7. [A Pointer Network Architecture for Joint Morphological Segmentation and Tagging](https://md.mova.elamur.ai/free/en/docs/papers/ud-2020-seker-pointer-network-architecture-joint-morphological/) *— our card · 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
8. [Multitask Easy-First Dependency Parsing: Exploiting Complementarities of Different Dependency Representations](https://aclanthology.org/2020.coling-main.225/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
9. [Toward Gender-Inclusive Coreference Resolution](https://aclanthology.org/2020.acl-main.418/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
10. [An Arabic Morphological Analyzer and Generator with Copious Features](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2018-taji-arabic-morphological-analyzer-generator-copious/) *— our card · 2018 · Proceedings of the Fifteenth Workshop on Computational Research in Phonetics, Phonology, and Morphology*
11. [De la constitution d'un corpus arboré à l'analyse syntaxique du serbe From the constitution of a treebank to the syntactic analysis of the Serbian language](https://aclanthology.org/2018.tal-3.2/) *— 2018*
12. [Feature Optimization for Predicting Readability of Arabic L1 and L2](https://aclanthology.org/W18-3703/) *— 2018 · Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications*
13. [Universal Dependencies for Arabic](https://md.mova.elamur.ai/free/en/docs/papers/ud-2017-taji-universal-dependencies-arabic/) *— our card · 2017 · Proceedings of the Third Arabic Natural Language Processing Workshop*
14. [CamelParser: A system for Arabic Syntactic Analysis and Morphological Disambiguation](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2016-shahrour-camelparser-system-arabic-syntactic-analysis/) *— our card · 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations*
15. [Improving Arabic Diacritization through Syntactic Analysis](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2015-shahrour-improving-arabic-diacritization-through-syntactic/) *— our card · 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
16. [Statistical Parsing by Machine Learning from a Classical Arabic Treebank](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2015-dukes-statistical-parsing-machine-learning-classical/) *— our card · 2015 · arXiv:1510.07193*
17. [A Hybrid Approach to Features Representation for Fine-grained Arabic Named Entity Recognition](https://aclanthology.org/C14-1093/) *— 2014 · Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers*
18. [A Cross-Task Flexible Transition Model for Arabic Tokenization, Affix Detection, Affix Labeling, POS Tagging, and Dependency Parsing](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2013-tratz-cross-task-flexible-transition-model/) *— our card · 2013 · Proceedings of the Fourth Workshop on Statistical Parsing of Morphologically-Rich Languages*
19. [Overview of the SPMRL 2013 Shared Task: A Cross-Framework Evaluation of Parsing Morphologically Rich Languages](https://aclanthology.org/W13-4917/) *— 2013 · Proceedings of the Fourth Workshop on Statistical Parsing of Morphologically-Rich Languages*
20. [Identifying Broken Plurals, Irregular Gender, and Rationality in Arabic Text](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2012-alkuhlani-identifying-broken-plurals-irregular-gender/) *— our card · 2012 · Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics*
21. boukaram-2018-improving-domain-independent-question-parsing
22. dzikien-2013-lithuanian-dependency-parsing-rich-morphological
23. goenaga-2013-exploiting-contribution-morphological-information-parsing
24. maier-2014-parsing-german-how-much-morphology
25. marton-2013-spmrl-13-shared-task-system
26. rodrigues-2018-arabic-data-science-toolkit-api
27. seeker-2013-effects-syntactic-features-automatic-prediction
- [← previous Who cites «Word Segmentation, Unknown-word Resolution, and Morphological Agreement in a Hebrew Parsing System»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/cl-2013-goldberg-word-segmentation-unknown-word-resolution/)
- [next → Who cites «Are Ellipses Important for Machine Translation?»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/cl-2021-khullar-are-ellipses-important-machine-translation/)
- [↑ back to papers/cited-by/](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/)
