Papers with morphological and syntactic tasks

2 papers
On the Language Neutrality of Pre-trained Multilingual Representations (2020.findings-emnlp)

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Challenge: Existing studies have focused on cross-linguality of contextual embeddings . however, they are only moderately language-neutral by default .
Approach: They propose to use unsupervised centering and fitting an explicit projection on parallel data to achieve stronger language neutrality.
Outcome: The proposed model outperforms existing models on XNLI and NER tasks.
Exploring Large Language Models for Classical Philology (2023.acl-long)

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Challenge: Recent advances in NLP have led to the creation of powerful language models for many languages including Ancient Greek and Latin.
Approach: They propose to use encoder-only and encoder decoder architectures to create four models for Ancient Greek that vary along two dimensions for tasks of interest for Classical languages.
Outcome: The proposed models improve on existing models of Ancient Greek and Latin and provide a large pre-training corpus for Ancient Greek to support the creation of a larger, comparable model zoo for Classical Philology.

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