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Journal of Scientific Information Research

Keywords

traditional family values, ancestral couplets, transfer learning, data enhancement

Abstract

[Purpose/significance] This research conducts in-depth exploration and knowledge discovery of ancestral hall couplets, a critical carrier of traditional family ethics, to facilitate their adaptive inheritance in contemporary society while introducing innovative perspectives and methodologies to the field.

[Method/process] We constructed a hierarchical classification system for traditional family values by synthesizing academic consensus, then developed the Annotation Keyword Data Enhancement(AK-DA-SKB-TC) model using idiomatic allusions with annotated keywords as source data and couplets as target data. Leveraging transfer learning, we achieved automated family tradition classification for couplets, followed by rigorous reliability validation. Multi-dimensional analysis of classification results uncovered evolutionary patterns and contextual determinants.

[Result/conclusion] Empirical validation demonstrated the AK-DA-SKB-TC model's efficacy with 0.81 overall accuracy, revealing dynamic trajectories of family tradition evolution, inter-familial variations, and influential factors through integrated macro-micro analysis. This systematic investigation into traditional family ethics through couplets provides a scientific foundation for their adaptive modernization, contributing to the advancement of family education, social morality, and holistic societal development.

First Page

111

Last Page

122

Submission Date

20-Nov-2024

Revision Date

17-Feb-2025

Acceptance Date

28-Mar-2025

Published Date

01-Jul-2025

Reference

[1] 卢加云. 基于社会主义核心价值观视野的我国传统家风传承现状及策略研究[D]. 合肥: 安徽大学, 2017.
[2] 郑好. 家风流变小考[J]. 广西社会主义学院学报, 2016, 27 (5):81-84.
[3] 胥文玲. 浅探闽北家族楹联及其教育思想[J]. 中共福建省委党校学报, 2014 (12): 125-129.
[4] 王凯阳. 中国传统家风研究综述及展望[J]. 文化创新比较研究, 2021, 5 (28): 1-4.
[5] 孟瑞华. 传统家风的文化意涵与当代教育价值[J]. 中国成人教育, 2019 (11): 24-27.
[6] 孙兰英, 卢婉婷. 家风家教是培育和践行社会主义核心价值观的基础[J]. 思想教育研究, 2014 (12): 80-83.
[7] 郝悦. 中共中央党校 (国家行政学院) 教授王杰: 弘扬优良家风, 推进新时代公民道德建设[N]. 光明日报, 2021-05-14 (003) .
[8] 白文举, 王凯阳. 文化结构: 家风研究的一种新视角[J]. 学理论, 2022 (2): 91-93.
[9] 苏煜彤. 文化自信视阈下优秀家风的传承研究[D]. 南昌: 华东交通大学, 2020.
[10] 张盈. 《颜氏家训》中家风建设思想研究[D]. 青岛: 青岛大学, 2021.
[11] 董宇擎. 曾国藩家风思想研究[D]. 桂林: 广西师范大学, 2015.
[12] 金文凯. 三明宗祠楹联的文化透视[J]. 三明学院学报, 2012, 29 (3): 50-55.
[13] 赵忠仲. 传统社会徽州楹联的孝文化内涵与传播影响[J]. 书画世界, 2020 (11): 83-85.
[14] 冯婉莹, 陈展毅, 林健鸿, 等. 顺德宗祠楹联的历史发展与当代传承[J]. 文教资料, 2021 (8): 29-31.
[15] 丁向阳. 从宗族建筑楹联看吉安地区宗族观念[J]. 地方文化研究, 2015 (4): 103-112.
[16] 王荣华. 百家姓[M]. 北京: 中国人民大学出版社, 2020.
[17] TAN C, SUN F, KONG T, et al. A survey on deep transfer learning[C]//Artificial Neural Networks and Machine Learning-ICANN 2018. Springer International Publishing, 2018: 270-279.
[18] BLITZER J, MCDONALD R, PEREIRA F. Domain adaptation with structural correspondence learning[C]//Conference on Empirical Methods in Natural Language Processing, 2006: 120-128.
[19] PAN S J, NI X, SUN J T, et al. Cross-domain sentiment classification via spectral feature alignment[C]//Proceedings of the 19th international conference on World wide web, 2010: 751-760.
[20] 卢晨阳, 康雁, 杨成荣, 等. 基于语义结构的迁移学习文本特征对齐算法[J]. 计算机工程, 2019, 45 (5): 116-121.
[21] 李文郑. 百家姓宗祠对联[M]. 广州: 暨南大学出版社, 2014.
[22] 周春辉. 论家风的文化传承与历史嬗变[J]. 中州学刊, 2014 (8): 144-146.
[23] 龚娱. 论中国传统家风文化及其时代传承[J]. 文化学刊, 2020 (12): 127-129.
[24] 杨菊华, 刘轶锋. 论新时代优良家风的历史溯源与主要意涵[J]. 中国特色社会主义研究, 2019 (2): 67-74.
[25] 吴潜涛, 刘函池. 中华优秀传统家风的主要表征及其当代转换与发展[J]. 中国高校社会科学, 2018 (1): 112-122, 159.
[26] 孟佳娜, 李丰毅, 刘爽, 等. 融合大语言模型与多模态特征的古文命名实体识别[A/OL]. ChinaXiv, 2024[2025-01-14]. https://chinaxiv.org/abs/202411.00196.
[27] 魏家泽. 基于外部知识协同的古文到现代文机器翻译研究[D]. 北京: 中国科学技术信息研究所, 2020.
[28] LI Y, NING H. Keywords extraction method based on two-way feature fusion[C]//2022 International Conference on Machine Learning and Intelligent Systems Engineering (MLISE) . IEEE, 2022: 127-130.
[29] DEVLIN J, CHANG M W, LEE K, et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding[C]//Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019: 4171-4186.
[30] 王东波, 刘畅, 朱子赫, 等. SikuBERT与SikuRoBERTa: 面向数字人文的《四库全书》预训练模型构建及应用研究[J]. 图书馆论坛, 2022, 42 (6): 31-43.
[31] 朱丹浩, 赵志枭, 吴娜, 等. 基于领域大语言模型的古籍分词研究[J]. 科技情报研究, 2024, 6 (2): 11-20.
[32] WU C, ZHANG Y, LU S, et al. Short text sentiment analysis based on multiple attention mechanisms and TextCNN-BiLSTM[C]//2023 IEEE 13th International Conference on Electronics Information and Emergency Communication (ICEIEC) . IEEE, 2023: 124-128.
[33] LIU Y, HE H, HAN T, et al. Understanding LLMs: A comprehensive overview from training to inference[J]. Neurocomputing, 2025 (620), 129190.
[34] 林伯海, 师晓娟. 家风的意蕴及其当代价值[J]. 思想政治教育研究, 2017, 33 (5): 111-115.
[35] 康雁冰. 论家风的实质及发展价值[J]. 教育与教学研究, 2015, 29 (12): 58-61.
[36] 秦攀博. 家风建设的理论溯源与战略考量[J]. 中共山西省委党校学报, 2018, 41 (3): 104-109.
[37] 马晓坤, 孙大鹏. 两晋南朝琅琊王氏与陈郡谢氏比较研究[M]. 北京: 中国社会科学出版社, 2011.
[38] 钱穆. 中国学术思想史论丛[M]. 合肥: 安徽教育出版社, 2004.
[39] 梁满仓. 论魏晋南北朝时期的五礼制度化[J]. 中国史研究, 2001 (4): 27-52.

Digital Object Identifier (DOI)

10.19809/j.cnki.kjqbyj.2025.03.011

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