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Unsupervised morphological segmentation in a language with reduplication

2022-07-01NAACL (SIGMORPHON) 2022Code Available0· sign in to hype

Simon Todd, Annie Huang, Jeremy Needle, Jennifer Hay, Jeanette King

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Abstract

We present an extension of the Morfessor Baseline model of unsupervised morphological segmentation (Creutz and Lagus, 2007) that incorporates abstract templates for reduplication, a typologically common but computationally underaddressed process. Through a detailed investigation that applies the model to Maori, the ̄ Indigenous language of Aotearoa New Zealand, we show that incorporating templates improves Morfessor’s ability to identify instances of reduplication, and does so most when there are multiple minimally-overlapping templates. We present an error analysis that reveals important factors to consider when applying the extended model and suggests useful future directions.

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