@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.",
}

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.
Astrach, Gal Pinter, Yuval
The BGU-MeLeL System for the SIGMORPHON 2023 Shared Task on Morphological Inflection