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EMNLP 2023mainmain

Exploring Linguistic Probes for Morphological Generalization

Jordan Kodner, Salam Khalifa, Sarah Payne

PDF 由论文原始站点提供,PaperCompass 不保存论文文件。DOI 10.18653/v1/2023.emnlp-main.552 ↗

摘要

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.