Jun 13, 2020 · We propose a cost-effective transfer learning method to adopt a strong source language model, trained from a large monolingual corpus to a low-resource ...

This work proposes a cost-effective transfer learning method to adopt a strong source language model, trained from a large monolingual corpus to a ...

Jun 13, 2020 · With only 10k examples of the given Tigrinya sentiment analysis dataset, English XLNet has achieved 78.88% F1-Score outperforming BERT and mBERT ...

Transferring Monolingual Model to Low-Resource Language: The Case of Tigrinya ... model, trained from a large monolingual corpus to a low-resource language.

Tela, A., Woubie, A. and Hautamäki, V. 2020. Transferring Monolingual Model to Low-Resource Language: The Case of Tigrinya. ArXiv, abs/2006.07698.

Co-authors ; Transferring Monolingual Model to Low-Resource Language: The Case of Tigrinya. A Tela, A Woubie, V Hautamaki. arXiv preprint arXiv:2006.07698, 2020.

Jun 19, 2020 · In this work, our approach is to transfer a monolingual transformer model into a new target language. We transfer the source model at the ...

The proposed method transfers a mono-lingual Transformer model into new target language at lexical level by learning new token embeddings.

Tela, A., Woubie, A. & Hautamäki, V. 2020. Transferring Monolingual Model to Low-Resource Language: The Case of Tigrinya. ArXiv, abs/2006.07698.

Apr 4, 2021 · In this work, we present a case study of Tigrinya where we investigate several back-translation methods to generate synthetic source sentences.