Papers with mBERT embeddings

1 papers
Deep Subjecthood: Higher-Order Grammatical Features in Multilingual BERT (2021.eacl-main)

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Challenge: a recent study has shown that multilingual BERT encodes sentences in structurally meaningful ways.
Approach: They analyze how morphosyntactic alignment manifests across embedding spaces of languages . they train classifiers to recover subjecthood of mBERT embedds in transitive sentences .
Outcome: The proposed model encodes a high-order grammatical feature of morphosyntactic alignment across languages . the results show that the classifier distributions reflect the morphological alignment of their training languages based on the results .

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