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- ---
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- language:
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- - grc
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- tags:
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- - ELECTRA
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- - TensorFlow
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- ---
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-
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-
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-
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- An ELECTRA-small model for Ancient Greek, trained on texts from Homer up until the 4th century AD from the literary [GLAUx](https://github.com/alekkeersmaekers/glaux) corpus and the [DukeNLP](https://github.com/alekkeersmaekers/duke-nlp) papyrus corpus.
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-
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- The model has some design choices made to combat data sparsity:
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- * Its input should always be in Unicode NFD (so separate Unicode signs for diacritics).
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- * All grave accents should be replaced with acute accents (καί, not καὶ).
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- * When a word contains two accents, the second one should be removed (εἶπε μοι, not εἶπέ μοι).
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-
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- If you use it in conjunction with [glaux-nlp](https://github.com/alekkeersmaekers/glaux-nlp), you can pass the tokenized sentence to normalize_tokens from tokenization.Tokenization, using normalization_rule=greek_glaux, which will do all these normalizations for you.
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-
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- ## Citation
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-
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- ```bibtex
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- @misc{mercelis_electra-grc_2022,
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- title = {electra-grc},
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- url = {https://huggingface.co/mercelisw/electra-grc},
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- abstract = {An ELECTRA-small model for Ancient Greek, trained on texts from Homer up until the 4th century AD.},
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- author = {Mercelis, Wouter and Keersmaekers, Alek},
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- year = {2022},
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- }
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- ```
 
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