Term is a kind of limited language symbols,usually presented in a specific language or text and used to communicate and express ideas.With the globalization of economy,international trade has become more frequent,and ...Term is a kind of limited language symbols,usually presented in a specific language or text and used to communicate and express ideas.With the globalization of economy,international trade has become more frequent,and chemical products have gradually become the hotspot of international import and export transactions,so the Chinese translation of the names of chemical products has become more important,and accurate translation can better promote the development of the domestic chemical industry and its dialogue and exchange with the international chemical industry.In this paper,we first explore the Chinese translation strategies of the semi-technical words in chemistry,and then investigate the translation strategies for technical words,subdividing the technical words into compounds,derivatives,and acronyms,with a view to providing ideas and references for translations of relevant texts.展开更多
Words are like magic.They can lift you up,or they can knock you down.They are the most powerful tool we have.When I was in Grade 7,I performed badly in a math test.
Memetics is a theory based on biology that explains cultural transmission.Memes are the basic units of cultural transmission.Culture-loaded words refer to unique vocabulary and idioms within a certain culture,reflecti...Memetics is a theory based on biology that explains cultural transmission.Memes are the basic units of cultural transmission.Culture-loaded words refer to unique vocabulary and idioms within a certain culture,reflecting the history,society,and lifestyles of different countries and ethnicities.Due to significant cultural differences between the Western world and China,translating culture-loaded words poses an unavoidable challenge for translators.This paper uses memetics as its theoretical foundation,classifies cultures according to Nida’s categories,and analyzes the application of memetics in the English translation of culture-loaded words through examples.展开更多
In the wave of internet culture,short videos have become an indispensable medium for social communication.The metaphorical hot words contained within them serve as a unique linguistic phenomenon that leads topics and ...In the wave of internet culture,short videos have become an indispensable medium for social communication.The metaphorical hot words contained within them serve as a unique linguistic phenomenon that leads topics and focuses attention,greatly enriching the expressive layers and rhetorical charm of short videos,and significantly enhancing the video’s theme orientation and emotional identification.This research aims to explore the relationship between the use of metaphorical Internet buzzwords in short videos and the thematic and emotional orientation.The study adopts a combination of qualitative and quantitative methods,taking 10 videos with over 10,000 likes posted by a well-known blogger on Xiaohongshu in 2024 as the research object,transcribing the text,forming research corpora,and conducting multi-dimensional cognitive analysis on them.The study shows that about half of short videos contain metaphorical hot words.Different types of metaphorical hot words can trigger different emotional reactions from fans,especially humorous metaphorical hot words that can stimulate fans’emotional identification and resonance.In addition,in terms of fan participation,videos using metaphorical hot words tend to attract more fan attention than those that do not:these videos not only attract more fans to watch and like,but also trigger more comments and sharing behaviors.In summary,short videos cleverly use metaphors to create internet hot words,significantly enhancing the video’s thematic guidance and emotional resonance,manifested in creating popular topics,clarifying guiding themes,enhancing content attractiveness,and stimulating strong emotional identification,thereby promoting interactive behaviors such as likes and shares.These findings provide a reference for research in related fields such as metaphor,communication studies,and sociology.展开更多
ZIZHITONGJIAN is a key historical work that reflects not only political events but also many culture-loaded expressions rooted in traditional Chinese life.These expressions,including official titles,ritual words,and h...ZIZHITONGJIAN is a key historical work that reflects not only political events but also many culture-loaded expressions rooted in traditional Chinese life.These expressions,including official titles,ritual words,and historical references,carry strong cultural meaning that is hard to translate.And these words are often described as culture-loaded words.Previous research on ZIZHITONGJIAN has offered valuable insights into its translation,focusing on general strategies,historical context,or selected passages.However,these discussions often remain broad in scope,lacking systematic comparison across different types of English editions.This study uses Hu Gengshen’s eco-translatology theory to explore how these culture-loaded words are handled in three kinds of English editions by listing out some classical examples.By applying eco-translatology,this study identifies common translation issues across different English editions and offers a methodological reference for future research on classical Chinese texts,especially in handling culture-loaded words with greater cultural and communicative sensitivity.展开更多
The learning of English academic vocabulary has been the focus of numerous studies from the time Coxhead(2000)developed the academic word list to the present day.Various researchers have emphasized the importance of p...The learning of English academic vocabulary has been the focus of numerous studies from the time Coxhead(2000)developed the academic word list to the present day.Various researchers have emphasized the importance of possessing academic vocabulary knowledge for academic success.Recognizing this importance,it is crucial for researchers,teachers,and learners to understand the progress made in academic word lists.This systematic review first identifies,describes,appraises,and synthesizes the development of academic word lists from 2000 to 2020.It then examines the methods used by researchers in developing academic word lists among 56 studies that meet the pre-established criteria.The word lists were classified based on some criteria such as word counting units,corpora types/sizes,and exclusion criteria.Limitations,suggestions for further study,and implications are also discussed.Additionally,recommendations for future word list establishment are provided to help advance the field of word list development.展开更多
Named Entity Recognition(NER)is vital in natural language processing for the analysis of news texts,as it accurately identifies entities such as locations,persons,and organizations,which is crucial for applications li...Named Entity Recognition(NER)is vital in natural language processing for the analysis of news texts,as it accurately identifies entities such as locations,persons,and organizations,which is crucial for applications like news summarization and event tracking.However,NER in the news domain faces challenges due to insufficient annotated data,complex entity structures,and strong context dependencies.To address these issues,we propose a new Chinesenamed entity recognition method that integrates transfer learning with word embeddings.Our approach leverages the ERNIE pre-trained model for transfer learning and obtaining general language representations and incorporates the Soft-lexicon word embedding technique to handle varied entity structures.This dual-strategy enhances the model’s understanding of context and boosts its ability to process complex texts.Experimental results show that our method achieves an F1 score of 94.72% on a news dataset,surpassing baseline methods by 3%–4%,thereby confirming its effectiveness for Chinese-named entity recognition in the news domain.展开更多
为了深入研究我国慢性病医防融合领域的发展趋势和演化过程,本文收集了2006~2024年的373篇相关文献,经过数据清洗和预处理后,引入Word2vec的LDA模型进行文献的主题挖掘,确定每个时期的最佳主题数量,并生成主题演化桑基图。计算不同时间...为了深入研究我国慢性病医防融合领域的发展趋势和演化过程,本文收集了2006~2024年的373篇相关文献,经过数据清洗和预处理后,引入Word2vec的LDA模型进行文献的主题挖掘,确定每个时期的最佳主题数量,并生成主题演化桑基图。计算不同时间段内各主题强度,并通过交互式条形图描述热点主题。结果显示,在第一阶段2006~2020年,大部分研究主要集中在如何整合医疗服务,以及如何将慢性病防控与医防结合;在第二阶段2021~2022年,除了延续既有的主题,部分研究焦点转移到如何更好地管理和融合综合医疗服务,以及如何将公共卫生服务与医疗体系更有效地结合;在第三阶段2023~2024年,研究重点在于如何实现健康服务与医防的深度融合,以及如何在医疗服务中具体落实医防融合的理念,研究更加注重实际操作和具体应用。通过主题演化分析揭示了不同时期内主题之间的关联和演化过程,综合医疗服务、慢性病防控与医防结合等主题在不同阶段都有较强的延续性,而研究重点随着时间的推移逐渐从综合医疗服务向医防融合和健康服务管理方向转移。研究发现,一些主题在不同时期内保持较高的强度,从本研究主题强度图可以看出,在慢性病医防融合领域,社区基层医疗机构在医防融合中具有重要作用,此外2021年及以后的阶段中公共卫生体系建设及医防融合成为研究的共识热点。该研究有助于更全面地理解慢性病医防融合领域的研究动态,为未来的研究方向和政策制定提供有益的参考,同时也为文本分析方法的应用提供了实践示范。未来的研究可以进一步挖掘基层医疗与医防协同机制以及健康服务管理与慢性病防控方面的潜力,更好地帮助社区基层医疗机构服务提供者应对来自人口老龄化社会慢性病高发以及多样化健康需求的挑战,同时也要关注对应的新兴技术如人工智能和大数据分析和对应的数据隐私和伦理挑战,以及政策实施中的风险。In this paper, in order to deeply study the development trend and evolution process in the field of chronic disease medical preventive integration in China, 373 relevant literatures from 2006~2024 were collected, and after data cleaning and pre-processing, the LDA model of Word2vec was introduced in the theme mining of the literature to determine the optimal number of themes in each period and generate the theme evolution Sankey diagram. The intensity of each topic in different time periods is calculated and hot topics are described by interactive bar charts. The results show that in the first period of 2006~2020, most of the studies focused on how to integrate healthcare services and how to combine chronic disease prevention and control with medical prevention;in the second period of 2021~2022, in addition to the continuation of the existing themes, some of the studies shifted their focus to how to better manage and integrate integrated healthcare services and how to combine public health services with the healthcare system more effectively;in the third stage, 2023~2024, the research focused on how to realize the deep integration of health services and medical preventive, and how to implement the concept of medical prevention integration in health care services, and the research focused more on practical operation and specific application. The analysis of theme evolution reveals the connection and evolution process between themes in different periods. The themes of comprehensive medical service, chronic disease prevention and control and medical prevention integration have strong continuity in different stages, while the focus of research gradually shifts from comprehensive medical service to medical prevention integration and health service management over time. It is found that some themes maintain a high intensity in different periods, and the intensity map of the themes in this study shows that in the field of chronic disease medical prevention integration, community-based primary healthcare organizations have an important role in medical prevention integration, and in addition, public health system construction and medical prevention integration have become consensus hotspots in research in the stage of 2021 and beyond. This study contributes to a more comprehensive understanding of the research dynamics in the field of chronic disease medical prevention integration, provides useful references for future research directions and policy formulation, and also provides a practical demonstration of the application of text analysis methods. Future research can further explore the potential of primary care and medical prevention synergistic mechanisms as well as health service management and chronic disease prevention and control to better help community-based primary care providers to cope with the challenges from the high prevalence of chronic diseases and diversified health needs of an aging population, as well as to pay attention to the corresponding emerging technologies such as artificial intelligence and big data analytics and the corresponding data privacy and ethical challenges, and the risks in policy implementation.展开更多
基金USST Construction Project of English-Taught Courses for International Students in 2024USST Teaching Achievement Award(Postgraduate)Cultivation Project in 2024.
文摘Term is a kind of limited language symbols,usually presented in a specific language or text and used to communicate and express ideas.With the globalization of economy,international trade has become more frequent,and chemical products have gradually become the hotspot of international import and export transactions,so the Chinese translation of the names of chemical products has become more important,and accurate translation can better promote the development of the domestic chemical industry and its dialogue and exchange with the international chemical industry.In this paper,we first explore the Chinese translation strategies of the semi-technical words in chemistry,and then investigate the translation strategies for technical words,subdividing the technical words into compounds,derivatives,and acronyms,with a view to providing ideas and references for translations of relevant texts.
文摘Words are like magic.They can lift you up,or they can knock you down.They are the most powerful tool we have.When I was in Grade 7,I performed badly in a math test.
文摘Memetics is a theory based on biology that explains cultural transmission.Memes are the basic units of cultural transmission.Culture-loaded words refer to unique vocabulary and idioms within a certain culture,reflecting the history,society,and lifestyles of different countries and ethnicities.Due to significant cultural differences between the Western world and China,translating culture-loaded words poses an unavoidable challenge for translators.This paper uses memetics as its theoretical foundation,classifies cultures according to Nida’s categories,and analyzes the application of memetics in the English translation of culture-loaded words through examples.
文摘In the wave of internet culture,short videos have become an indispensable medium for social communication.The metaphorical hot words contained within them serve as a unique linguistic phenomenon that leads topics and focuses attention,greatly enriching the expressive layers and rhetorical charm of short videos,and significantly enhancing the video’s theme orientation and emotional identification.This research aims to explore the relationship between the use of metaphorical Internet buzzwords in short videos and the thematic and emotional orientation.The study adopts a combination of qualitative and quantitative methods,taking 10 videos with over 10,000 likes posted by a well-known blogger on Xiaohongshu in 2024 as the research object,transcribing the text,forming research corpora,and conducting multi-dimensional cognitive analysis on them.The study shows that about half of short videos contain metaphorical hot words.Different types of metaphorical hot words can trigger different emotional reactions from fans,especially humorous metaphorical hot words that can stimulate fans’emotional identification and resonance.In addition,in terms of fan participation,videos using metaphorical hot words tend to attract more fan attention than those that do not:these videos not only attract more fans to watch and like,but also trigger more comments and sharing behaviors.In summary,short videos cleverly use metaphors to create internet hot words,significantly enhancing the video’s thematic guidance and emotional resonance,manifested in creating popular topics,clarifying guiding themes,enhancing content attractiveness,and stimulating strong emotional identification,thereby promoting interactive behaviors such as likes and shares.These findings provide a reference for research in related fields such as metaphor,communication studies,and sociology.
文摘ZIZHITONGJIAN is a key historical work that reflects not only political events but also many culture-loaded expressions rooted in traditional Chinese life.These expressions,including official titles,ritual words,and historical references,carry strong cultural meaning that is hard to translate.And these words are often described as culture-loaded words.Previous research on ZIZHITONGJIAN has offered valuable insights into its translation,focusing on general strategies,historical context,or selected passages.However,these discussions often remain broad in scope,lacking systematic comparison across different types of English editions.This study uses Hu Gengshen’s eco-translatology theory to explore how these culture-loaded words are handled in three kinds of English editions by listing out some classical examples.By applying eco-translatology,this study identifies common translation issues across different English editions and offers a methodological reference for future research on classical Chinese texts,especially in handling culture-loaded words with greater cultural and communicative sensitivity.
文摘The learning of English academic vocabulary has been the focus of numerous studies from the time Coxhead(2000)developed the academic word list to the present day.Various researchers have emphasized the importance of possessing academic vocabulary knowledge for academic success.Recognizing this importance,it is crucial for researchers,teachers,and learners to understand the progress made in academic word lists.This systematic review first identifies,describes,appraises,and synthesizes the development of academic word lists from 2000 to 2020.It then examines the methods used by researchers in developing academic word lists among 56 studies that meet the pre-established criteria.The word lists were classified based on some criteria such as word counting units,corpora types/sizes,and exclusion criteria.Limitations,suggestions for further study,and implications are also discussed.Additionally,recommendations for future word list establishment are provided to help advance the field of word list development.
基金funded by Advanced Research Project(30209040702).
文摘Named Entity Recognition(NER)is vital in natural language processing for the analysis of news texts,as it accurately identifies entities such as locations,persons,and organizations,which is crucial for applications like news summarization and event tracking.However,NER in the news domain faces challenges due to insufficient annotated data,complex entity structures,and strong context dependencies.To address these issues,we propose a new Chinesenamed entity recognition method that integrates transfer learning with word embeddings.Our approach leverages the ERNIE pre-trained model for transfer learning and obtaining general language representations and incorporates the Soft-lexicon word embedding technique to handle varied entity structures.This dual-strategy enhances the model’s understanding of context and boosts its ability to process complex texts.Experimental results show that our method achieves an F1 score of 94.72% on a news dataset,surpassing baseline methods by 3%–4%,thereby confirming its effectiveness for Chinese-named entity recognition in the news domain.
文摘为了深入研究我国慢性病医防融合领域的发展趋势和演化过程,本文收集了2006~2024年的373篇相关文献,经过数据清洗和预处理后,引入Word2vec的LDA模型进行文献的主题挖掘,确定每个时期的最佳主题数量,并生成主题演化桑基图。计算不同时间段内各主题强度,并通过交互式条形图描述热点主题。结果显示,在第一阶段2006~2020年,大部分研究主要集中在如何整合医疗服务,以及如何将慢性病防控与医防结合;在第二阶段2021~2022年,除了延续既有的主题,部分研究焦点转移到如何更好地管理和融合综合医疗服务,以及如何将公共卫生服务与医疗体系更有效地结合;在第三阶段2023~2024年,研究重点在于如何实现健康服务与医防的深度融合,以及如何在医疗服务中具体落实医防融合的理念,研究更加注重实际操作和具体应用。通过主题演化分析揭示了不同时期内主题之间的关联和演化过程,综合医疗服务、慢性病防控与医防结合等主题在不同阶段都有较强的延续性,而研究重点随着时间的推移逐渐从综合医疗服务向医防融合和健康服务管理方向转移。研究发现,一些主题在不同时期内保持较高的强度,从本研究主题强度图可以看出,在慢性病医防融合领域,社区基层医疗机构在医防融合中具有重要作用,此外2021年及以后的阶段中公共卫生体系建设及医防融合成为研究的共识热点。该研究有助于更全面地理解慢性病医防融合领域的研究动态,为未来的研究方向和政策制定提供有益的参考,同时也为文本分析方法的应用提供了实践示范。未来的研究可以进一步挖掘基层医疗与医防协同机制以及健康服务管理与慢性病防控方面的潜力,更好地帮助社区基层医疗机构服务提供者应对来自人口老龄化社会慢性病高发以及多样化健康需求的挑战,同时也要关注对应的新兴技术如人工智能和大数据分析和对应的数据隐私和伦理挑战,以及政策实施中的风险。In this paper, in order to deeply study the development trend and evolution process in the field of chronic disease medical preventive integration in China, 373 relevant literatures from 2006~2024 were collected, and after data cleaning and pre-processing, the LDA model of Word2vec was introduced in the theme mining of the literature to determine the optimal number of themes in each period and generate the theme evolution Sankey diagram. The intensity of each topic in different time periods is calculated and hot topics are described by interactive bar charts. The results show that in the first period of 2006~2020, most of the studies focused on how to integrate healthcare services and how to combine chronic disease prevention and control with medical prevention;in the second period of 2021~2022, in addition to the continuation of the existing themes, some of the studies shifted their focus to how to better manage and integrate integrated healthcare services and how to combine public health services with the healthcare system more effectively;in the third stage, 2023~2024, the research focused on how to realize the deep integration of health services and medical preventive, and how to implement the concept of medical prevention integration in health care services, and the research focused more on practical operation and specific application. The analysis of theme evolution reveals the connection and evolution process between themes in different periods. The themes of comprehensive medical service, chronic disease prevention and control and medical prevention integration have strong continuity in different stages, while the focus of research gradually shifts from comprehensive medical service to medical prevention integration and health service management over time. It is found that some themes maintain a high intensity in different periods, and the intensity map of the themes in this study shows that in the field of chronic disease medical prevention integration, community-based primary healthcare organizations have an important role in medical prevention integration, and in addition, public health system construction and medical prevention integration have become consensus hotspots in research in the stage of 2021 and beyond. This study contributes to a more comprehensive understanding of the research dynamics in the field of chronic disease medical prevention integration, provides useful references for future research directions and policy formulation, and also provides a practical demonstration of the application of text analysis methods. Future research can further explore the potential of primary care and medical prevention synergistic mechanisms as well as health service management and chronic disease prevention and control to better help community-based primary care providers to cope with the challenges from the high prevalence of chronic diseases and diversified health needs of an aging population, as well as to pay attention to the corresponding emerging technologies such as artificial intelligence and big data analytics and the corresponding data privacy and ethical challenges, and the risks in policy implementation.
