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# Who cites «Unsupervised Morphology Rivals Supervised Morphology for Arabic MT»

11 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-2012-stallard-unsupervised-morphology-rivals-supervised-morphology/)

1. [A Little Linguistics Goes a Long Way: Unsupervised Segmentation with Limited Language Specific Guidance](https://aclanthology.org/W19-4214/) *— 2019 · Proceedings of the 16th Workshop on Computational Research in Phonetics, Phonology, and Morphology*
2. [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/aclbulk-2017-sajjad-challenging-language-dependent-segmentation-arabic/) *— our card · 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
3. [Unsupervised Learning of Morphological Forests](https://aclanthology.org/Q17-1025/) *— 2017 · Transactions of the Association for Computational Linguistics*
4. [A Comparative Study of Minimally Supervised Morphological Segmentation](https://aclanthology.org/J16-1003/) *— 2016 · Computational Linguistics*
5. [Neural Machine Translation of Rare Words with Subword Units](https://aclanthology.org/P16-1162/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
6. [An Unsupervised Method for Uncovering Morphological Chains](https://aclanthology.org/Q15-1012/) *— 2015*
7. [Morphological Segmentation for Keyword Spotting](https://aclanthology.org/D14-1095/) *— 2014 · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
8. [Morphological Analysis and Disambiguation for Dialectal Arabic](https://aclanthology.org/N13-1044/) *— 2013 · Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
9. [Translating into Morphologically Rich Languages with Synthetic Phrases](https://aclanthology.org/D13-1174/) *— 2013 · Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing*
10. salameh-2015-what-matters-most-morphologically-segmented
11. sirts-2015-do-pos-tags-help-learn
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