@inproceedings{elsner-court-2022-osu,
title = "{OSU} at {S}ig{M}orphon 2022: Analogical Inflection With Rule Features",
author = "Elsner, Micha and
Court, Sara",
editor = "Nicolai, Garrett and
Chodroff, Eleanor",
booktitle = "Proceedings of the 19th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology",
month = jul,
year = "2022",
address = "Seattle, Washington",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.sigmorphon-1.22",
doi = "10.18653/v1/2022.sigmorphon-1.22",
pages = "220--225",
abstract = "OSU{'}s inflection system is a transformer whose input is augmented with an analogical exemplar showing how to inflect a different word into the target cell. In addition, alignment-based heuristic features indicate how well the exemplar is likely to match the output. OSU{'}s scores substantially improve over the baseline transformer for instances where an exemplar is available, though not quite matching the challenge winner. In Part 2, the system shows a tendency to over-apply the majority pattern in English, but not Arabic.",
}
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<abstract>OSU’s inflection system is a transformer whose input is augmented with an analogical exemplar showing how to inflect a different word into the target cell. In addition, alignment-based heuristic features indicate how well the exemplar is likely to match the output. OSU’s scores substantially improve over the baseline transformer for instances where an exemplar is available, though not quite matching the challenge winner. In Part 2, the system shows a tendency to over-apply the majority pattern in English, but not Arabic.</abstract>
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%0 Conference Proceedings
%T OSU at SigMorphon 2022: Analogical Inflection With Rule Features
%A Elsner, Micha
%A Court, Sara
%Y Nicolai, Garrett
%Y Chodroff, Eleanor
%S Proceedings of the 19th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology
%D 2022
%8 July
%I Association for Computational Linguistics
%C Seattle, Washington
%F elsner-court-2022-osu
%X OSU’s inflection system is a transformer whose input is augmented with an analogical exemplar showing how to inflect a different word into the target cell. In addition, alignment-based heuristic features indicate how well the exemplar is likely to match the output. OSU’s scores substantially improve over the baseline transformer for instances where an exemplar is available, though not quite matching the challenge winner. In Part 2, the system shows a tendency to over-apply the majority pattern in English, but not Arabic.
%R 10.18653/v1/2022.sigmorphon-1.22
%U https://aclanthology.org/2022.sigmorphon-1.22
%U https://doi.org/10.18653/v1/2022.sigmorphon-1.22
%P 220-225
Markdown (Informal)
[OSU at SigMorphon 2022: Analogical Inflection With Rule Features](https://aclanthology.org/2022.sigmorphon-1.22) (Elsner & Court, SIGMORPHON 2022)
ACL