Ruben van de Vijver


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HeiMorph at SIGMORPHON 2022 Shared Task on Morphological Acquisition Trajectories
Akhilesh Kakolu Ramarao | Yulia Zinova | Kevin Tang | Ruben van de Vijver
Proceedings of the 19th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology

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.