---
title: "Who cites Identifying Semitic Roots: Machine Learning with…"
description: "The papers of the Elamur Research library that cite «Identifying Semitic Roots: Machine Learning with Linguistic Constraints», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/cl-2008-daya-identifying-semitic-roots-machine-learning/cited-by/"
---
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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.research.elamur.ai/free/en/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.research.elamur.ai/free/en/papers/aclbulk-2019-kishky-constrained-sequence-sequence-semitic-root/) *— our card · 2019 · Proceedings of the Fourth Arabic Natural Language Processing Workshop*
3. [A Multilinear Approach to the Unsupervised Learning of Morphology](https://aclanthology.org/W16-2020/) *— 2016 · Proceedings of the 14th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology*
4. [Probabilistic Modelling of Morphologically Rich Languages](https://md.research.elamur.ai/free/en/papers/langstream-2015-botha-probabilistic-modelling-morphologically-rich-languages/) *— our card · 2015 · arXiv:1508.04271*
5. [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*
6. [Unsupervised Induction of Arabic Root and Pattern Lexicons using Machine Learning](https://aclanthology.org/R13-1045/) *— 2013 · Proceedings of the International Conference Recent Advances in Natural Language Processing RANLP 2013*
7. [A Probabilistic Morphological Analyzer for Syriac](https://md.research.elamur.ai/free/en/papers/aclbulk-2010-mcclanahan-probabilistic-morphological-analyzer-syriac/) *— our card · 2010 · Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing*