title: PhiloBERTA: A Transformer-Based Cross-Lingual Analysis of Greek and
    Latin Lexicons
summary: We present PhiloBERTA, a cross-lingual transformer model that measures
  semantic relationships between ancient Greek and Latin lexicons. Through
  analysis of selected term pairs from classical texts, we use contextual
  embeddings and angular similarity metrics to identify precise semantic
  alignments. Our results show that etymologically related pairs demonstrate
  significantly higher similarity scores, particularly for abstract philosophical
  concepts such as epist\=em\=e (scientia) and dikaiosyn\=e (iustitia).
  Statistical analysis reveals consistent patterns in these relationships (p =
  0.012), with etymologically related pairs showing remarkably stable semantic
  preservation compared to control pairs. These findings establish a quantitative
  framework for examining how philosophical concepts moved between Greek and
  Latin traditions, offering new methods for classical philological research.
paper_authors._id: 67cf6e6f59dbba733d819ca5
paper_authors.name: Rumi A. Allbert
paper_authors.status: claimed_verified
paper_authors.statusLastChangedAt: 2025-03-11T08:23:05.438Z
paper_authors._id: 63753c6a9ef4e3b87a5fa22c
paper_authors.avatarUrl: /avatars/91dd3209284758d29ac59718f08ee32d.svg
paper_authors.fullname: Rumi Allbert
paper_authors.type: user
paper_authors.user: raaec
paper_authors._id: 67cf6e6f59dbba733d819ca6
paper_authors.name: Makai L. Allbert
paper_title: PhiloBERTA: A Transformer-Based Cross-Lingual Analysis of Greek and
    Latin Lexicons
paper_summary: We present PhiloBERTA, a cross-lingual transformer model that measures
  semantic relationships between ancient Greek and Latin lexicons. Through
  analysis of selected term pairs from classical texts, we use contextual
  embeddings and angular similarity metrics to identify precise semantic
  alignments. Our results show that etymologically related pairs demonstrate
  significantly higher similarity scores, particularly for abstract philosophical
  concepts such as epist\=em\=e (scientia) and dikaiosyn\=e (iustitia).
  Statistical analysis reveals consistent patterns in these relationships (p =
  0.012), with etymologically related pairs showing remarkably stable semantic
  preservation compared to control pairs. These findings establish a quantitative
  framework for examining how philosophical concepts moved between Greek and
  Latin traditions, offering new methods for classical philological research.
paper_ai_summary: A cross-lingual transformer model (PhiloBERTA) uses contextual embeddings and angular similarity to measure semantic alignment between ancient Greek and Latin lexicons, revealing consistent patterns and semantic preservation of etymologically related terms.
paper_ai_keywords: cross-lingual transformer model contextual embeddings angular similarity semantic alignment etymologically related pairs semantic preservation classical philological research