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# Who cites «Identifying Semitic Roots: Machine Learning with Linguistic Constraints»

7 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-2008-daya-identifying-semitic-roots-machine-learning/)

1. [Noor-Ghateh: A Benchmark Dataset for Evaluating Arabic Word Segmenters in Hadith Domain](https://arxiv.org/abs/2307.09630) *— 2023 · arXiv:2307.09630*
2. [Constrained Sequence-to-sequence Semitic Root Extraction for Enriching Word Embeddings](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2019-kishky-constrained-sequence-sequence-semitic-root/) *— our card · 2019 · Proceedings of the Fourth Arabic Natural Language Processing Workshop*
3. [Adaptor Grammars for Learning Non-Concatenative Morphology](https://aclanthology.org/D13-1034/) *— 2013 · Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing*
4. [botha-2015-probabilistic-modelling-morphologically-rich-languages](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2015-botha-probabilistic-modelling-morphologically-rich-languages/) *— our card*
5. khaliq-2013-unsupervised-induction-arabic-root-pattern
6. [mcclanahan-2010-probabilistic-morphological-analyzer-syriac](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2010-mcclanahan-probabilistic-morphological-analyzer-syriac/) *— our card*
7. meyer-2016-multilinear-approach-unsupervised-learning-morphology
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