摘要
译后编辑已广泛应用于语言服务行业,译后编辑教学与译后编辑者培养成为翻译研究领域与语言服务行业的热点话题.大语言模型的应用,为译后编辑教学与实践提供新的驱动力,也为译后编辑教学带来了机遇与挑战.本研究基于近二十年译后编辑教学研究现状,探究译后编辑教学研究趋势,讨论人工智能时代译后编辑教学体系构建路径,以期为人工智能时代译后编辑教学体系构建和译后编辑人才培养提供参考.
Abstract
Post-editing has been widely adopted in the language service industry,making post-editing teaching and the training of post-editors hot topics in translation research and language services.The application of large language models provides new momentum for post-editing teaching and practice,bringing both opportunities and challenges to the field.This study explores the trends in post-editing teaching research over the past two decades,discusses the pathways for constructing a post-editing teaching system in the era of artificial intelligence,aiming at providing insights for the development of post-editing teaching systems and talent training in this new context.
NETL
NSTL
万方数据