Work

HeiMorph at SIGMORPHON 2022 Shared Task on Morphological Acquisition Trajectories

Year: 2022

Type: conference-paper

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.

Source: SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology (SIGMORPHON)

DOI: 10.18653/v1/2022.sigmorphon-1.24

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

Institution: Heinrich Heine University Düsseldorf

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4287854390

FWCI: 0.829

Cites: 23

Cited by: 6

Related to: 10