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Update README.md
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README.md
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@@ -12,6 +12,8 @@ State-of-the-art post fine-tuning on Part-of-Speech Tagging and Morphological An
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Pre-trained weights are made available for a standard 12 layer, 768d BERT-base model.
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Please refer to our paper titled: "A Pilot Study for BERT Language Modelling and Morphological Analysis for Ancient and Medieval Greek". In Proceedings of The 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL 2021)
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#### How to use
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Pre-trained weights are made available for a standard 12 layer, 768d BERT-base model.
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Further scripts for using the model and fine-tuning it for PoS Tagging are available on our [Github repository](https://github.com/pranaydeeps/Ancient-Greek-BERT)!
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Please refer to our paper titled: "A Pilot Study for BERT Language Modelling and Morphological Analysis for Ancient and Medieval Greek". In Proceedings of The 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL 2021)
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#### How to use
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