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cs.CL2023★ 1 cited
An Investigation of Noise in Morphological Inflection
Adam Wiemerslage, Changbing Yang, Garrett Nicolai +2
With a growing focus on morphological inflection systems for languages where high-quality data is scarce, training data noise is a serious but so far largely ignored concern. We ai…
cs.CL2023
Understanding Compositional Data Augmentation in Typologically Diverse Morphological Inflection
Farhan Samir, Miikka Silfverberg
Data augmentation techniques are widely used in low-resource automatic morphological inflection to overcome data sparsity. However, the full implications of these techniques remain…