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.
Anthology ID:
2022.sigmorphon-1.24
Volume:
Proceedings of the 19th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology
Month:
July
Year:
2022
Address:
Seattle, Washington
Venue:
SIGMORPHON
SIG:
SIGMORPHON
Publisher:
Association for Computational Linguistics
Note:
Pages:
236–239
Language:
URL:
https://aclanthology.org/2022.sigmorphon-1.24
DOI:
10.18653/v1/2022.sigmorphon-1.24
Bibkey:
Cite (ACL):
Akhilesh Kakolu Ramarao, Yulia Zinova, Kevin Tang, and Ruben van de Vijver. 2022. HeiMorph at SIGMORPHON 2022 Shared Task on Morphological Acquisition Trajectories. In Proceedings of the 19th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology, pages 236–239, Seattle, Washington. Association for Computational Linguistics.
Cite (Informal):
HeiMorph at SIGMORPHON 2022 Shared Task on Morphological Acquisition Trajectories (Kakolu Ramarao et al., SIGMORPHON 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.sigmorphon-1.24.pdf