PhiloBERTA: A Transformer-Based Cross-Lingual Analysis of Greek and
  Latin Lexicons
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.
67cf6e6f59dbba733d819ca5
Rumi A. Allbert
claimed_verified
2025-03-11T08:23:05.438Z
63753c6a9ef4e3b87a5fa22c
/avatars/91dd3209284758d29ac59718f08ee32d.svg
Rumi Allbert
user
raaec
67cf6e6f59dbba733d819ca6
Makai L. Allbert
PhiloBERTA: A Transformer-Based Cross-Lingual Analysis of Greek and
  Latin Lexicons
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.
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.
cross-lingual transformer model contextual embeddings angular similarity semantic alignment etymologically related pairs semantic preservation classical philological research