Neural Language Models for Nineteenth-Century English (dataset; language model zoo)
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资源简介：
This dataset contains four types of neural language models trained on a large historical dataset of books in English, published between 1760-1900 and comprised of ~5.1 billion tokens. The language model architectures include static (word2vec and fastText) and contextualized models (BERT and Flair). Github repository: https://github.com/Living-with-machines/histLM.
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Zenodo创建时间：
2021-05-21
