模型:
EMBEDDIA/crosloengual-bert
CroSloEngual BERT is a trilingual model, using bert-base architecture, trained on Croatian, Slovenian, and English corpora. Focusing on three languages, the model performs better than multilingual BERT , while still offering an option for cross-lingual knowledge transfer, which a monolingual model wouldn't.
Evaluation is presented in our article:
@Inproceedings{ulcar-robnik2020finest, author = "Ulčar, M. and Robnik-Šikonja, M.", year = 2020, title = "{FinEst BERT} and {CroSloEngual BERT}: less is more in multilingual models", editor = "Sojka, P and Kopeček, I and Pala, K and Horák, A", booktitle = "Text, Speech, and Dialogue {TSD 2020}", series = "Lecture Notes in Computer Science", volume = 12284, publisher = "Springer", url = "https://doi.org/10.1007/978-3-030-58323-1_11", }
The preprint is available at arxiv.org/abs/2006.07890 .