mlsanityData to 14 Oct 2026

Graecia capta ferum victorem cepit. Detecting Latin Allusions to Ancient Greek Literature

arXiv 2308.12008 ↗First posted 23 Aug 2023cs.CLcited by 4

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Abstract (arXiv)

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.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 10 of its 31 references that are in the map. First posted on arXiv 23 Aug 2023.

Builds on

10 of 31 references.

References · 10

  1. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,599
  2. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,170
  3. 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,935
  4. 2020MPNet: Masked and Permuted Pre-training for Language Understandingcited by 981
  5. 2020Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillationcited by 593
  6. 2020Latin BERT: A Contextual Language Model for Classical Philologycited by 43
  7. 2023Exploring Large Language Models for Classical Philologycited by 10
  8. 2019On the Feasibility of Automated Detection of Allusive Text Reusecited by 8
  9. 2022BERT in Plutarch's Shadowscited by 6
  10. 2023LatinCy: Synthetic Trained Pipelines for Latin NLPcited by 5

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 1; 2024: 0; 2025: 0; 2026: 3.

4 papers.