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# Who cites «Morphological Features for Parsing Morphologically-rich Languages: A Case of Arabic»

8 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-2011-dehdari-morphological-features-parsing-morphologically-rich/)

1. [Introducing the IMS-Wrocław-Szeged-CIS entry at the SPMRL 2014 Shared Task: Reranking and Morpho-syntax meet Unlabeled Data](https://aclanthology.org/W14-6110/) *— 2014 · Proceedings of the First Joint Workshop on Statistical Parsing of Morphologically Rich Languages and Syntactic Analysis of Non-Canonical Languages*
2. [Special Techniques for Constituent Parsing of Morphologically Rich Languages](https://aclanthology.org/E14-1015/) *— 2014 · Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics*
3. [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*
4. [Towards Joint Morphological Analysis and Dependency Parsing of Turkish](https://aclanthology.org/W13-3704/) *— 2013 · Proceedings of the Second International Conference on Dependency Linguistics (DepLing 2013)*
5. biswas-2024-mememind-araieval-shared-task-spotting
6. maier-2014-parsing-german-how-much-morphology
7. ray-2024-cssl-contrastive-self-supervised-learning
8. [seyoum-2020-comparing-neural-network-parsers-less](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2020-seyoum-comparing-neural-network-parsers-less/) *— our card*
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