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Found 3 papers, 2 papers with code
Morphosyntactic probing of multilingual BERT models
We introduce an extensive dataset for multilingual probing of morphological information in language models (247 tasks across 42 languages from 10 families), each consisting of a sentence with a target word and a morphological tag as the desired label, derived from the Universal Dependencies treebanks.
A Three Step Training Approach with Data Augmentation for Morphological Inflection
We present the BME submission for the SIGMORPHON 2021 Task 0 Part 1, Generalization Across Typologically Diverse Languages shared task.
The Role of Interpretable Patterns in Deep Learning for Morphology
By training the models on the same source but different target, we can compare what subwords are important for different tasks and how they relate to each other.
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