《中国科技术语》精选双语文章推荐

围绕术语学研究，本期精选5篇发表在《中国科技术语》上的文章，欢迎阅读！

精选文章·Selected Articles

01

中国术语学学科建设的回顾与思考

Review and Reflection on the Construction of Terminology Discipline in China

【摘要】术语学是一门综合性的新兴学科。建设中国术语学学科，对于指导包括哲学社会科学在内的各学科领域，着力打造能反映中国特色社会主义伟大实践和理论创新、易于为国际社会所理解和接受的新概念、新范畴、新表述，引领和推动话语体系建设，提升我国的国际话语权具有重要意义。中国术语学学科的建构具有很好的历史基础，但总体来说，学科发展仍然处于较低水平，针对社会实践的高水准概念化、理论化引领能力较弱，学科影响力亟须得到提升。为此，我们要立足本土，放眼全球，着眼互通，系统推进该学科的学科体系、学术体系、话语体系构建，力争尽快推动中国术语学走向成熟。

【Abstract】The construction of the terminology discipline in China is very important for building new concepts, new categories, and new expressions that can reflect the great practice and theoretical innovation of socialism with Chinese characteristics. The construction of the terminology discipline in China has a good historical foundation, but the discipline development is still at a low level, and the discipline influence needs to be improved. We should base on our own land, look at the world, and focus on connectivity to promote the construction of discipline, academic, and discourse systems for the terminology discipline and promote the maturity of Chinese terminology as soon as possible.

02

术语认知话语分析

Terminological Cognitive Discourse Analysis

【摘要】话语分析发展至今，研究路径丰富，各具特色与优势，但在涉及语言的分析理论和方法上，多局限于系统功能语言学，忽视了对专业领域话语的关注与参考，以及对普通话语内术语的理解、使用及其背后意识形态的探究。文章结合术语学、认知语言学和系统功能语言学，提出术语认知话语分析理论，基于专业话语和普通话语识别术语，解析术语的语义和语法，然后综合术语的语境、语义和语法，并借助其他话语分析方法，揭示术语背后的意识形态和立场态度等。随后，将术语认知话语分析理论应用于剖析中国生态环境话语，展现了该理论的适用性与发展潜势。

【Abstract】With the development of discourse analysis, a variety of research approaches have been proposed, each with its own characteristics and advantages. However, in terms of analytical theories and methods related to language, most of them are limited to Systemic Functional Linguistics, neglecting the attention to and reference to discourses in specialized fields, as well as the exploration of the understanding and use of terms in ordinary discourses, along with the ideology behind the terms. Based on Terminology, Cognitive Linguistics, and Systemic Functional Linguistics, we put forward the theory of Terminological Cognitive Discourse Analysis (TCDA), identifying terms in light of specialized and ordinary discourses, analyzing semantic and grammatical parts of terms, and then combining contexts, semantics, and grammatical content of terms, together with the assistance of other methods of discourse analysis, to reveal the ideology and attitude underlying terms. Subsequently, the TCDA theory is applied to illustrating Chinese ecological environmental discourses, which demonstrates the applicability and developmental potential of such a theory.

03

术语变异的认知社会语言学探究

Cognitive Sociolinguistic Study on Terminological Variation

【摘要】认知社会语言学融合了认知模型对意义的研究和基于用法的语言模型研究，使语言变体研究获得了崭新的研究空间和研究方法。术语会因不同的科学交际情境和不同使用群体而呈现出不同的形式，发生术语变异。文章从认知社会语言学的角度，对术语定名变异、行业用语变异、情感参与变异等多种社会与认知因素进行了分析。研究表明，术语会因为认知体验、社会环境、情感参与等多因素的影响而发生变异。认知社会语言学角度的研究有利于使术语变异的过程、根源得到更清晰的阐释。

【Abstract】Cognitive sociolinguistics combines the study of meaning by cognitive models with the study of usage-based language models, by which new research spaces and methods have been obtained for language variation study. Terminological variation may occur due to different situations of scientific communication and different groups of users. This paper analyzes the social and cognitive factors in terminological variation, such as term naming variation, industry-specific terminological variation, and the variation with emotional participation from the perspective of cognitive sociolinguistics. Our research shows that terminology will vary influenced by cognitive experience, social environments, and emotional participation. We find that cognitive sociolinguistics study on terminological variation can clarify the process and origin of variation more clearly.

04

基于概念结构与分布式表征的术语语义知识库构建

Construction of Terminology Semantic Knowledge Base Based on Conceptual Structure and Distributed Representation

【摘要】词汇语义知识库的构建是自然语言处理中的一项基本任务，在自然语言处理的各子任务中发挥着重要作用。文章面向领域内复合型术语，提出术语概念KDML表示的自动生成方法，该方法基于概念的层级结构，采用分布式表征方法表征概念与术语定义文本，根据二者间语义距离大小进行概念消歧，通过K近邻算法学习概念间的语义角色，按照KDML语法规则生成术语概念的完整表示。实验取得首义原精确率为96%,总义原、总语义角色与总三元组的F1值分别为91.92%、78.9%、73.41%的结果。

【Abstract】The construction of lexical semantic knowledge base is a basic task in natural language processing and plays an important role in various subtasks of natural language processing. This paper proposes an automatic generation method of term concept representation by using knowledge database markup language (KDML) for compound terms. The method is based on the hierarchical structure of concepts, uses a distributed representation method to represent concepts and term definition text, and performs concept disambiguation according to the semantic distance between the concepts and the term definition text. The method can learn the semantic roles between concepts through the K-nearest neighbor algorithm and generates term concept representation according to KDML syntax rules. The experimental results showed that the accuracy rate of the first sememe was 96%, and theF1 values of the total sememe, semantic role, and total triple were 91.92%, 78.9%, and 73.41%, respectively.

05

汉源术语的本质及其特征

Nature and Characteristics of Terms of Chinese Source

【摘要】术语是折射人类思维进化的一面镜子。中国的科学思想发展呈阶段性特征——从古代科学到近代科学再到现代科学，每个阶段的术语状况都有所不同。中国独特的科学技术思想通过古代汉源术语研究可以得到彰显，这对当代汉语术语创建以及汉语术语理论研究具有重要的启示意义。文章从中国古代科学知识与思维类型、汉语专业词汇、汉源术语的确定和汉源术语的特征这四个方面阐释汉源术语的本质及其特点，置身于中国传统文化语境中对其展开研究。

【Abstract】Terminology is a mirror reflecting the evolution of human thoughts. The development of scientific thought in China is characterized by stages, from ancient science to modern science, and the terminology of each stage is different. Chinese unique scientific and technological ideas are highlighted through the study of ancient Chinese terminologies, which is of great significance to the creation of contemporary Chinese terminologies and the theoretical study of Chinese terminologies. This paper discusses the nature and characteristics of term of Chinese source from four aspects: the type of ancient Chinese scientific knowledge and thoughts, Chinese professional vocabulary, the determination of term of Chinese source, and the characteristics of term of Chinese source. The study of term of Chinese source should be conducted in the context of Chinese traditional culture.

期刊推荐·Recommend Journal

《中国科技术语》是由中国科学院主管，全国科学技术名词审定委员会主办，商务印书馆出版的学术期刊。以促进和推动术语及术语学研究与应用，发展中国特色的术语学科，研究科技名词审定的原则和方法，交流名词审定工作的经验，宣传名词规范化工作的成果为宗旨。发表范围主要包括：术语学学科体系建设、术语学基本原理研究的成果，特别是利用实证方法和实验数据进行的术语研究，包括术语的标准化、定量研究、实验研究等；术语学研究的技术和方法研究的成果，特别是利用网络和大数据等现代信息技术进行术语发现、标引、挖掘、组织等的技术和方法研究的成果；术语及术语学在各学科领域应用研究的成果，特别是在领域本体建设、知识图谱、语义分析、学科研究热点和发展态势分析中应用研究的成果等。

联系我们·Contact Us

中国知网“中文精品学术期刊外文版数字出版工程”（简称JTP）自2015年启动，已与400余种学术期刊合作出版了4万余篇双语对照论文，积累了丰富的学术翻译/英语加工/学术推广经验。形成了集双语出版、主题电子书出版、双语讲座视频制作、期刊英文内容编校加工、资讯编译、海外推广为一体的全方位服务体系，全面助力期刊提升国际影响力。

JTP网址：https://jtp.cnki.net/Bilingual/

感兴趣的朋友请联系

联系人：张老师

手机：13661148416

电话：010-62969002-8173

邮箱：zxd6974@cnki.net