Linguistics and Languages

Dissecting The Analects: an NLP-based exploration of semantic similarities and differences across English translations

L. Yang and G. Zhou

Dive into the fascinating world of semantic analysis in translations of *The Analects*, conducted by Liwei Yang and Guijun Zhou. This research employs cutting-edge NLP algorithms to uncover linguistic nuances and enhance translation strategies. Discover how core concepts and names shape our understanding of this classic text!

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Playback language: English

Index

Abstract

This research uses NLP algorithms (Word2Vec, GloVe, and BERT) to analyze semantic similarities among five English translations of *The Analects*. A corpus was built from these translations, and the algorithms assessed sentence-level semantic congruence. Findings revealed semantic variations, categorizing sentence pairs as "Abnormal," "High-similarity," and "Low-similarity." Core concepts and personal names significantly impacted semantic representation. The study aims to improve readers' understanding and offer translation strategies.

Publisher

Humanities and Social Sciences Communications

Published On

Jan 05, 2024

Authors

Liwei Yang, Guijun Zhou

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