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作 者:王储 李军[1] WANG Chu;LI Jun(Beijing Institute of Graphic Communication,Beijing 102600,China)
机构地区:[1]北京印刷学院,北京102600
出 处:《北京印刷学院学报》2024年第11期6-10,共5页Journal of Beijing Institute of Graphic Communication
摘 要:古籍对我国文化传承发展有着不可替代的作用。我国一贯高度重视古籍资源修复与保护,古籍数字化经历了二十多年的发展已经成为古籍修复和保护的重要手段之一。近年来,基于生成式AI发展及其在出版行业应用,生成式AI赋能古籍出版业,解决我国古籍资源深度化不足、古籍著录规则粗粒化、古籍数智化资源交互能力弱的问题。本文从我国古籍出版数字化困境分析入手,尝试利用现有生成式AI的Transformer模型打破翻译壁垒、LSTM模型细化著录规则、NLP模型与受众共情为古籍出版融合创新提供数智化新思路。Ancient books play an irreplaceable role in the inheritance and development of our country's culture.Our country has always attached great importance to the restoration and protection of ancient book resources.After more than 20 years of development,the digitization of ancient books has become one of the important means for the restoration and protection of ancient books.In recent years,based on the development of generative AI and its application in the publishing industry,generative AI has empowered the ancient book publishing industry to solve the problems of insufficient depth of ancient book resources in my country,coarse-grained ancient book description rules,and weak interactive capabilities of ancient book digital intelligence resources.This article starts from the analysis of the digital dilemma of ancient book publishing in my country,and attempts to use the Transformer model of existing generative AI to break the translation problem.Translation barriers,the LSTM model's refined description rules,and the NLP model's empathy with the audience provide new digital intelligence ideas for the integration and innovation of ancient book publishing.
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