Greek BERT: Difference between revisions
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Nota bene: this language model applies to modern Greek and is trained on modern Greek corpora (from Wikipedia, European Parliament, OSCAR, etc). It is not intended for working with Classical, Post-Classical, or Byzantine Greek corpora. | Nota bene: this language model applies to modern Greek and is trained on modern Greek corpora (from Wikipedia, European Parliament, OSCAR, etc). It is not intended for working with Classical, Post-Classical, or Byzantine Greek corpora. | ||
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Latest revision as of 17:04, 13 July 2026
Available
Team
- NLP Group of Athens University of Economics and Business: NLP AUEB on Github
Author
Description
From the project, "A Greek edition of Google's BERT pre-trained language model."[1] BERT stands for "Bidirectional Encoder Representations from Transformers", "a new method of pre-training language representations which obtains state-of-the-art results on a wide array of Natural Language Processing (NLP) tasks."[2] BERT was first released in 2018 by Google as the first unsupervised, bidirectional NLP model, with an architecture similar in certain ways to later GPT (Generative Pre-training Transformer) based models.[3] Building on BERT, Greek BERT can be used for tasks such as sentence classification, question answering,
Nota bene: this language model applies to modern Greek and is trained on modern Greek corpora (from Wikipedia, European Parliament, OSCAR, etc). It is not intended for working with Classical, Post-Classical, or Byzantine Greek corpora.