  Intertextual allusions hold a pivotal role in Classical Philology, with Latin
authors frequently referencing Ancient Greek texts. Until now, the automatic
identification of these intertextual references has been constrained to
monolingual approaches, seeking parallels solely within Latin or Greek texts.
In this study, we introduce SPhilBERTa, a trilingual Sentence-RoBERTa model
tailored for Classical Philology, which excels at cross-lingual semantic
comprehension and identification of identical sentences across Ancient Greek,
Latin, and English. We generate new training data by automatically translating
English texts into Ancient Greek. Further, we present a case study,
demonstrating SPhilBERTa's capability to facilitate automated detection of
intertextual parallels. Our models and resources are available at
https://github.com/Heidelberg-NLP/ancient-language-models.
