HeiMorph at SIGMORPHON 2022 Shared Task on Morphological Acquisition Trajectories

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

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.