Morphology is not just a naive Bayes – UniMelb Submission to SIGMORPHON 2022 ST on Morphological Inflection
Andreas Sherbakov, Ekaterina Vylomova · 2022
The paper describes the Flexica team's submission to the SIGMORPHON 2022 Shared Task 1 Part 1: Typologically Diverse Morphological Inflection.Our team submitted a nonneural system that extracted transformation patterns from alignments between a lemma and inflected forms.For each inflection category, we chose a pattern based on its abstractness score.The system outperformed the non-neural baseline, the extracted patterns covered a substantial part of possible inflections.However, we discovered that such score that does not account for all possible combinations of string segments as well as morphosyntactic features is not sufficient for a certain proportion of inflection cases.