--- language: - multilingual - grc - en - la license: apache-2.0 inference: false --- # PhilTa 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. 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/). Further information can be found in our paper or in our [GitHub repository](https://github.com/Heidelberg-NLP/ancient-language-models). ## Usage ```python from transformers import AutoTokenizer, AutoModelForConditionalGeneration tokenizer = AutoTokenizer.from_pretrained('bowphs/PhilTa') model = AutoModelForConditionalGeneration.from_pretrained('bowphs/PhilTa') ``` Please check out the awesome Hugging Face tutorials on how to fine-tune our models. ## Evaluation Results When fine-tuned on lemmatization data from [EvaLatin 2022](https://universaldependencies.org/), PhilTa achieves the following results: | Task | Classical | Cross-genre | Cross-time | |:--:|:--:|:--:|:--:| | |97.33|93.40|91.91| PhilTa is especially strong when more than one of the three languages should be processed. ## Contact If you have any questions or problems, feel free to [reach out](mailto:riemenschneider@cl.uni-heidelberg.de). ## Citation ```bibtex @incollection{riemenschneiderfrank:2023, address = "Toronto, Canada", author = "Riemenschneider, Frederick and Frank, Anette", booktitle = "Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL’23)", note = "to appear", pubType = "incollection", publisher = "Association for Computational Linguistics", title = "Exploring Large Language Models for Classical Philology", url = "https://arxiv.org/abs/2305.13698", year = "2023", key = "riemenschneiderfrank:2023" } ```