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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…
cs.CL2022
Dim Wihl Gat Tun: The Case for Linguistic Expertise in NLP for Underdocumented Languages
Clarissa Forbes, Farhan Samir, Bruce Harold Oliver +4
Recent progress in NLP is driven by pretrained models leveraging massive datasets and has predominantly benefited the world's political and economic superpowers. Technologically un…
cs.CL2021
Quantifying Cognitive Factors in Lexical Decline
David Francis, Ella Rabinovich, Farhan Samir +2
We adopt an evolutionary view on language change in which cognitive factors (in addition to social ones) affect the fitness of words and their success in the linguistic ecosystem.…