Unsupervised Morphology Rivals Supervised Morphology for Arabic MT

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Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging (2017, background): “based MT (Fishel and Kirik, 2010; Stallard et al., 2012).”
On internal language representations in deep learning: an analysis of machine translation and speech recognition (2018, methodology): “Word segmentation may also be helpful even when it does not strictly correspond to meaningful units (morphemes), as shown by unsupervised methods for obtaining sub-word units [108, 304, 315, 329, 344].”