Tibetan Syllable Prediction with Pre-trained Cross-lingual Language Model
Author:
Affiliation:
1. PLA Academy of Military Science,Information Research Center of Military Science,Beijing,China,100142
2. National University of Defense Technology,College of Computer,Changsha,Hunan,China,410073
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9906316/9906318/09906389.pdf?arnumber=9906389
Reference17 articles.
1. Bert: Pre-training of deep bidirectional transformers for language understanding;devlin;arXiv preprint arXiv 1810 04805,2018
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3. Improving language understanding by generative pre-training;radford,2018
4. Xlnet: Generalized autoregressive pretraining for language understanding;yang;Advances in neural information processing systems,2019
5. Long Short-Term Memory
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