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Add PhilTa files

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README.md ADDED
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+ ---
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+ language:
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+ - multilingual
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+ - grc
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+ - en
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+ - la
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+ license: apache-2.0
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+ inference: false
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+ ---
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+ # PhilTa
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+
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+ The paper [Exploring Language Models for Classical Philology](https://todo.com) is the first effort to systematically provide state-of-the-art language models for Classical Philology. PhilTa is a T5-base sized, multilingual, encoder-decoder variant.
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+
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+ This model was trained using data from the [Open Greek & Latin Project](https://opengreekandlatin.org/), the CLARIN corpus [Greek Medieval Texts](https://inventory.clarin.gr/corpus/890), the [Patrologia Graeca](https://patristica.net/graeca/), the [Corpus Corporum](https://mlat.uzh.ch/), and [Project Gutenberg](https://www.gutenberg.org/).
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+
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+ Further information can be found in our paper or in our [GitHub repository](https://github.com/Heidelberg-NLP/ancient-language-models).
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+
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+ ## Usage
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+ ```python
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+ from transformers import AutoTokenizer, AutoModelForConditionalGeneration
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+
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+ tokenizer = AutoTokenizer.from_pretrained('bowphs/PhilTa')
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+ model = AutoModelForConditionalGeneration.from_pretrained('bowphs/PhilTa')
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+ ```
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+ Please check out the awesome Hugging Face tutorials on how to fine-tune our models.
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+
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+ ## Evaluation Results
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+ When fine-tuned on lemmatization data from [EvaLatin 2022](https://universaldependencies.org/), PhilTa achieves the following results:
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+
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+ | Task | Classical | Cross-genre | Cross-time |
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+ |:--:|:--:|:--:|:--:|
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+ | |97.33|93.40|91.91|
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+
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+ PhilTa is especially strong when more than one of the three languages should be processed.
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+
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+ ## Contact
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+ If you have any questions or problems, feel free to [reach out](mailto:riemenschneider@cl.uni-heidelberg.de).
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+
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+ ## Citation
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+ ```bibtex
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+ @incollection{riemenschneiderfrank:2023,
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+ address = "Toronto, Canada",
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+ author = "Riemenschneider, Frederick and Frank, Anette",
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+ booktitle = "Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL’23)",
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+ note = "to appear",
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+ pubType = "incollection",
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+ publisher = "Association for Computational Linguistics",
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+ title = "Exploring Large Language Models for Classical Philology",
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+ url = "https://arxiv.org/abs/2305.13698",
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+ year = "2023",
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+ key = "riemenschneiderfrank:2023"
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+ }
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+ ```
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