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HeiMorph at SIGMORPHON 2022 Shared Task on Morphological Acquisition Trajectories

2022-07-01NAACL (SIGMORPHON) 2022Unverified0· sign in to hype

Akhilesh Kakolu Ramarao, Yulia Zinova, Kevin Tang, Ruben van de Vijver

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Abstract

This paper presents the submission by the HeiMorph team to the SIGMORPHON 2022 task 2 of Morphological Acquisition Trajectories. Across all experimental conditions, we have found no evidence for the so-called Ushaped development trajectory. Our submitted systems achieve an average test accuracies of 55.5% on Arabic, 67% on German and 73.38% on English. We found that, bigram hallucination provides better inferences only for English and Arabic and only when the number of hallucinations remains low.

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