Exploring Linguistic Probes for Morphological Generalization
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Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 7 of its 18 references that are in the map. First posted on arXiv 20 Oct 2023.
Builds on
7 of 18 references.
References · 7
- 2019The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflectioncited by 43
- 2018The CoNLL--SIGMORPHON 2018 Shared Task: Universal Morphological Reinflectioncited by 41
- 2017CoNLL-SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection in 52 Languagescited by 40
- 2020SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflectioncited by 39
- 2018Recurrent Neural Networks in Linguistic Theory: Revisiting Pinker and Prince (1988) and the Past Tense Debatecited by 27
- 2021(Un)solving Morphological Inflection: Lemma Overlap Artificially Inflates Models' Performancecited by 20
- 2022A Comprehensive Comparison of Neural Networks as Cognitive Models of Inflectioncited by 2
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Citing papers per year: 2025: 1.
1 paper.
- 2025Probing Subphonemes in Morphology Modelscited by 0
- 2025Probing Subphonemes in Morphology Models16 May 2025