@inproceedings{kodner-etal-2023-exploring,
title = "Exploring Linguistic Probes for Morphological Generalization",
author = "Kodner, Jordan and
Khalifa, Salam and
Payne, Sarah Ruth Brogden",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing",
month = dec,
year = "2023",
address = "Singapore",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.emnlp-main.552",
doi = "10.18653/v1/2023.emnlp-main.552",
pages = "8933--8941",
abstract = "Modern work on the cross-linguistic computational modeling of morphological inflection has typically employed language-independent data splitting algorithms. In this paper, we supplement that approach with language-specific probes designed to test aspects of morphological generalization. Testing these probes on three morphologically distinct languages, English, Spanish, and Swahili, we find evidence that three leading morphological inflection systems employ distinct generalization strategies over conjugational classes and feature sets on both orthographic and phonologically transcribed inputs.",
}
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%0 Conference Proceedings
%T Exploring Linguistic Probes for Morphological Generalization
%A Kodner, Jordan
%A Khalifa, Salam
%A Payne, Sarah Ruth Brogden
%Y Bouamor, Houda
%Y Pino, Juan
%Y Bali, Kalika
%S Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
%D 2023
%8 December
%I Association for Computational Linguistics
%C Singapore
%F kodner-etal-2023-exploring
%X Modern work on the cross-linguistic computational modeling of morphological inflection has typically employed language-independent data splitting algorithms. In this paper, we supplement that approach with language-specific probes designed to test aspects of morphological generalization. Testing these probes on three morphologically distinct languages, English, Spanish, and Swahili, we find evidence that three leading morphological inflection systems employ distinct generalization strategies over conjugational classes and feature sets on both orthographic and phonologically transcribed inputs.
%R 10.18653/v1/2023.emnlp-main.552
%U https://aclanthology.org/2023.emnlp-main.552
%U https://doi.org/10.18653/v1/2023.emnlp-main.552
%P 8933-8941
Markdown (Informal)
[Exploring Linguistic Probes for Morphological Generalization](https://aclanthology.org/2023.emnlp-main.552) (Kodner et al., EMNLP 2023)
ACL