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Low-resource languages, such as Baltic languages, benefit from Large Multilingual Models (LMs) that possess remarkable cross-lingual transfer performance capabilities.
Similarity of neural network representations revisited, ArXiv
\hbibitem · 1905
Earlier work this paper cites.
\hbibitem · 2003
Earlier work this paper cites.
Canonical correlation analysis: An overview with application to learning methods, Neural Computation
\hbibitem · 2004
Earlier work this paper cites.
XGLUE: A new benchmark dataset for cross-lingual pre-training, understanding and generation, CoRR
\hbibitem · 2004
Earlier work this paper cites.
Svcca: Singular vector canonical correlation analysis for deep learning dynamics and interpretability, NIPS
\hbibitem · 2017
Cited alongside, same era.
XNLI: Evaluating cross-lingual sentence representations, Proceedings of EMNLP 2018
\hbibitem · 2018
Cited alongside, same era.
Insights on representational similarity in neural networks with canonical correlation, NeurIPS
\hbibitem · 2018
Cited alongside, same era.
BERT: Pre-training of deep bidirectional transformers for language understanding, Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
\hbibitem · 2019
Cited alongside, same era.
BERT is not an interlingua and the bias of tokenization, Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019)
\hbibitem · 2019
Later among the works it cites.
Unsupervised cross-lingual representation learning at scale, Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
\hbibitem · 2020
Later among the works it cites.
Emerging cross-lingual structure in pretrained language models, Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
\hbibitem · 2020
Later among the works it cites.
First align, then predict: Understanding the cross-lingual ability of multilingual BERT, Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
\hbibitem · 2021
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