@inproceedings{astrach-pinter-2023-bgu,
title = "The {BGU}-{M}e{L}e{L} System for the {SIGMORPHON} 2023 Shared Task on Morphological Inflection",
author = "Astrach, Gal and
Pinter, Yuval",
editor = {Nicolai, Garrett and
Chodroff, Eleanor and
Mailhot, Frederic and
{\c{C}}{\"o}ltekin, {\c{C}}a{\u{g}}r{\i}},
booktitle = "Proceedings of the 20th SIGMORPHON workshop on Computational Research in Phonetics, Phonology, and Morphology",
month = jul,
year = "2023",
address = "Toronto, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.sigmorphon-1.18",
doi = "10.18653/v1/2023.sigmorphon-1.18",
pages = "166--170",
abstract = "This paper presents the submission by the MeLeL team to the SIGMORPHON{--}UniMorph Shared Task on Typologically Diverse and Acquisition-Inspired Morphological Inflection Generation Part 3: Models of Acquisition of Inflectional Noun Morphology in Polish, Estonian, and Finnish. This task requires us to produce the word form given a lemma and a grammatical case, while trying to produce the same error-rate as in children. We approach this task with a reduced-size character-based transformer model, multilingual training and an upsampling method to introduce bias.",
}
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%0 Conference Proceedings
%T The BGU-MeLeL System for the SIGMORPHON 2023 Shared Task on Morphological Inflection
%A Astrach, Gal
%A Pinter, Yuval
%Y Nicolai, Garrett
%Y Chodroff, Eleanor
%Y Mailhot, Frederic
%Y Çöltekin, Çağrı
%S Proceedings of the 20th SIGMORPHON workshop on Computational Research in Phonetics, Phonology, and Morphology
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada
%F astrach-pinter-2023-bgu
%X This paper presents the submission by the MeLeL team to the SIGMORPHON–UniMorph Shared Task on Typologically Diverse and Acquisition-Inspired Morphological Inflection Generation Part 3: Models of Acquisition of Inflectional Noun Morphology in Polish, Estonian, and Finnish. This task requires us to produce the word form given a lemma and a grammatical case, while trying to produce the same error-rate as in children. We approach this task with a reduced-size character-based transformer model, multilingual training and an upsampling method to introduce bias.
%R 10.18653/v1/2023.sigmorphon-1.18
%U https://aclanthology.org/2023.sigmorphon-1.18
%U https://doi.org/10.18653/v1/2023.sigmorphon-1.18
%P 166-170
Markdown (Informal)
[The BGU-MeLeL System for the SIGMORPHON 2023 Shared Task on Morphological Inflection](https://aclanthology.org/2023.sigmorphon-1.18) (Astrach & Pinter, SIGMORPHON 2023)
ACL