Finnish Language Modeling with Deep Transformer Models

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Summary

This project investigates the performance of the Transformer architectures-BERT and Transformer-XL for the language modeling task with a sub-word model setting with the Finnish language and compares it to the previous State of the art (SOTA) LSTM model.

Type
preprint
Published
2020-03-14
Cited by
0
References
22
Access
Open access

Keywords

Perplexity, Language model, Transformer, Computer science, Artificial intelligence

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