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# MacBERTh
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This model is a Historical Language Model for English coming from the [MacBERTh project](https://macberth.netlify.app/).
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The architecture is based on BERT base uncased from the original BERT pre-training codebase.
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The training material comes from different sources including:
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- EEBO
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- ECCO
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- COHA
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- CLMET3.1
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- EVANS
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- Hansard Corpus
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with a total word count of approximately 3.9B tokens.
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Details and evaluation can be found in the accompanying publications:
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- [MacBERTh: Development and Evaluation of a Historically Pre-trained Language Model for English (1450-1950)](https://aclanthology.org/2021.nlp4dh-1.4/)
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- [Adapting vs. Pre-training Language Models for Historical Languages](https://doi.org/10.46298/jdmdh.9152)
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