The birth of Romanian BERT
Pysyvä osoite
Verkkojulkaisu
Tiivistelmä
Large-scale pretrained language models have
become ubiquitous in Natural Language Processing. However, most of these
models are available either in high-resource languages, in particular
English, or as multilingual models that compromise performance on
individual languages for coverage. This paper introduces Romanian BERT,
the first purely Romanian transformer-based language model, pretrained
on a large text corpus. We discuss corpus com-position and cleaning, the
model training process, as well as an extensive evaluation of the model
on various Romanian datasets. We opensource not only the model itself,
but also a repository that contains information on how to obtain the
corpus, fine-tune and use this model in production (with practical
examples), and how to fully replicate the evaluation process.