Concept-aware contrastive representation learning for cross-translation semantic consistency modeling of the Analects.

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Bibliographic Details
Title: Concept-aware contrastive representation learning for cross-translation semantic consistency modeling of the Analects.
Authors: He T; School of Foreign Language Faculty, Chizhou University, Chizhou, China., Dai P; School of Big Data and Artificial Intelligence, Chizhou University, Chizhou, China., Wang R; School of Big Data and Artificial Intelligence, Chizhou University, Chizhou, China., Zhao Y; BNRist, Tsinghua University, Beijing, China., Zhao C; School of Cyber Science and Engineering, Ningbo University of Technology, Ningbo, China.
Source: PloS one [PLoS One] 2026 Sep 11; Vol. 21 (9), pp. e0358227. Date of Electronic Publication: 2026 Sep 11 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1932-6203
DOI:10.1371/journal.pone.0358227