People gradually learn that in grammar category, nominalization has a very close relation to the category of discourse. This article discusses nominalization from the viewpoints of three linguistic schools, then goes ...People gradually learn that in grammar category, nominalization has a very close relation to the category of discourse. This article discusses nominalization from the viewpoints of three linguistic schools, then goes into the systemic functional linguistics in particular, and points out that nominalization is due to the need of communication, and has a very close relation to the category of discourse. Through the analysis of chosen language materials, this article wants to prove that the frequency of nominalization is in direct proportion to the degree of the formality of the category of discourse. That is to say, the higher the frequency is, the higher the degree is. It 's the same the other way round.展开更多
As a Burundian doctoral student at Nanjing University,my personal journey is closely intertwined with China’s development in the new era and the deepening China-Africa partnership.Recently,my experiences have given m...As a Burundian doctoral student at Nanjing University,my personal journey is closely intertwined with China’s development in the new era and the deepening China-Africa partnership.Recently,my experiences have given me a deeper appreciation of the importance of people-to-people exchanges between China and Africa.展开更多
Let F_(1)be the virtual field consisting of one element and(Q,I)a string pair.In this paper,we study the representations of string pairs over the virtual field F_(1).It is proved that an indecomposable F_(1)-represent...Let F_(1)be the virtual field consisting of one element and(Q,I)a string pair.In this paper,we study the representations of string pairs over the virtual field F_(1).It is proved that an indecomposable F_(1)-representation is either a string representation or a band representation by using the coefficient quivers.It is worth noting that for a given band and a positive integer,there exists a unique band representation up to isomorphism.展开更多
This study examines discourse structures and strategies employed by selected Nigerian socio-political actors to reconstruct a single dramatic event that involved Nigeria's former President Muhammadu Buhari at the ...This study examines discourse structures and strategies employed by selected Nigerian socio-political actors to reconstruct a single dramatic event that involved Nigeria's former President Muhammadu Buhari at the Argungu Fishing Festival in Kebbi State on 12th March,2020.The data comprise excerpts from various statements of Messrs Nnamdi Kanu,Femi Adesina,Femi Fani-Kayode,Lai Moham-med and Jamilu Gunddare,which were drawn from newspaper reports of Daily Post,Premium Times and The Cable between 12th and 13th March,2020.Using the socio-cognitive model of critical discourse analysis as a guide,the qualitative analysis revealed that different discourse structures and strategies in the texts formed three broad themes:verbal attacks,crisis management and expose.While Kanu deployed metaphor,dysphemism and number game to portray the event as an attempted arrest of Buhari's impostor,Fani-Kayode employed exaggeration,dysphemism and positive other-representation to reconstruct it as an attempted attack.However,through euphemism,dysphemism,vagueness and disclaimers,Adesina and Mohammed describe the event as an embrace,while Gunddare used positive self-representation,legitimisation,euphemism and disclaimer to explain his sup-posed positive intent.The study,therefore,concludes that Nigerian socio-political actors,like their global counterparts,do not present realities in public discourse but reproduce their personal/group ideologies.展开更多
This article explores the academic discourse on“Made in China”from the perspective of the Discourse-Historical Approach(DHA),aiming to understand how this discourse is constructed,evaluated,and transformed in the in...This article explores the academic discourse on“Made in China”from the perspective of the Discourse-Historical Approach(DHA),aiming to understand how this discourse is constructed,evaluated,and transformed in the international academic landscape.Drawing on a corpus of highly cited English academic papers,the study examines the discursive strategies used to shape the evolving image of“Made in China”.The findings indicate a clear shift in academic perception-from a label associated with cheap labor and low-end production to one increasingly linked to technological innovation,environmental responsibility,and global cooperation.Through keyword analysis,intertextual mapping,and discursive strategy identification,this article offers insights into how language reflects and reproduces broader geopolitical and ideological shifts.展开更多
Neural network based deep learning methods aim to learn representations of data and have produced state-of-the-art results in many natural language processing(NLP)tasks.Discourse parsing is an important research topic...Neural network based deep learning methods aim to learn representations of data and have produced state-of-the-art results in many natural language processing(NLP)tasks.Discourse parsing is an important research topic in discourse analysis,aiming to infer the discourse structure and model the coherence of a given text.This survey covers text-level discourse parsing,shallow discourse parsing and coherence assessment.We first introduce the basic concepts and traditional approaches,and then focus on recent advances in discourse structure oriented representation learning.We also introduce a trend of discourse structure aware representation learning that is to exploit discourse structures or discourse objectives for learning representations of sentences and documents for specific applications or for general purpose.Finally,we present a brief summary of the progress and discuss several future directions.展开更多
In global navigation satellite system denial environment,cross-view geo-localization based on image retrieval presents an exceedingly critical visual localization solution for Unmanned Aerial Vehicle(UAV)systems.The e...In global navigation satellite system denial environment,cross-view geo-localization based on image retrieval presents an exceedingly critical visual localization solution for Unmanned Aerial Vehicle(UAV)systems.The essence of cross-view geo-localization resides in matching images containing the same geographical targets from disparate platforms,such as UAV-view and satellite-view images.However,images of the same geographical targets may suffer from occlusions and geometric distortions due to variations in the capturing platform,view,and timing.The existing methods predominantly extract features by segmenting feature maps,which overlook the holistic semantic distribution and structural information of objects,resulting in loss of image information.To address these challenges,dilated neighborhood attention Transformer is employed as the feature extraction backbone,and Multi-feature representations based on Multi-scale Hierarchical Contextual Aggregation(MMHCA)is proposed.In the proposed MMHCA method,the multiscale hierarchical contextual aggregation method is utilized to extract contextual information from local to global across various granularity levels,establishing feature associations of contextual information with global and local information in the image.Subsequently,the multi-feature representations method is utilized to obtain rich discriminative feature information,bolstering the robustness of model in scenarios characterized by positional shifts,varying distances,and scale ambiguities.Comprehensive experiments conducted on the extensively utilized University-1652 and SUES-200 benchmarks indicate that the MMHCA method surpasses the existing techniques.showing outstanding results in UAV localization and navigation.展开更多
Artificial intelligence(AI)researchers and cheminformatics specialists strive to identify effective drug precursors while optimizing costs and accelerating development processes.Digital molecular representation plays ...Artificial intelligence(AI)researchers and cheminformatics specialists strive to identify effective drug precursors while optimizing costs and accelerating development processes.Digital molecular representation plays a crucial role in achieving this objective by making molecules machine-readable,thereby enhancing the accuracy of molecular prediction tasks and facilitating evidence-based decision making.This study presents a comprehensive review of small molecular representations and AI-driven drug discovery downstream tasks utilizing these representations.The research methodology begins with the compilation of small molecule databases,followed by an analysis of fundamental molecular representations and the models that learn these representations from initial forms,capturing patterns and salient features across extensive chemical spaces.The study then examines various drug discovery downstream tasks,including drug-target interaction(DTI)prediction,drug-target affinity(DTA)prediction,drug property(DP)prediction,and drug generation,all based on learned representations.The analysis concludes by highlighting challenges and opportunities associated with machine learning(ML)methods for molecular representation and improving downstream task performance.Additionally,the representation of small molecules and AI-based downstream tasks demonstrates significant potential in identifying traditional Chinese medicine(TCM)medicinal substances and facilitating TCM target discovery.展开更多
Discourse markers(DMs)in many languages have been investigated from various theoretical perspectives and within diverse methodological paradigms for decades.Studies within the field of DMs are accelerating rapidly;how...Discourse markers(DMs)in many languages have been investigated from various theoretical perspectives and within diverse methodological paradigms for decades.Studies within the field of DMs are accelerating rapidly;however,few state-of-the-art reviews have been conducted to systematically inform scholars of the current landscape of DM research.This investigation conducted a comprehensive review of 2,183 studies from 2009 to 2022,leveraging CiteSpace for bibliometric analysis.The study aims to illuminate emerging trends and focal areas within DM research and lay the groundwork for further interdisciplinary exploration and collaboration in this area.The analysis reveals a growing interest in DM studies,identifies leading contributors,including countries,universities,and scholars,highlights the most cited journals and references shaping the field,and delineates prevalent research themes and topics,as well as methodological approaches employed.These findings indicate that DM research has evolved from a linguistic inquiry into an interdisciplinary domain employing varied methodologies such as qualitative and/or quantitative,experimental,and synchronic and/or diachronic.This study can provide important implications for future research in terms of the pragmatic turn,interdisciplinary nature,expansion of data from English to various other languages,and diversified methodologies.展开更多
Nominalization,as the main means of reaching grammatical metaphor,is one of the distinctive features of written corpora and plays an important role in the discourse construction of news discourse.Based on the theory o...Nominalization,as the main means of reaching grammatical metaphor,is one of the distinctive features of written corpora and plays an important role in the discourse construction of news discourse.Based on the theory of grammatical metaphor,this article discusses the phenomenon of nominalization and its translation strategies in news discourse by analyzing translation examples.It is found that nominalization structure can effectively enhance the informativeness and objectivity of news discourse.When translating from Chinese to English,the translator should take into full consideration of the different characteristics of the two languages,and convert the predicates,subject-predicate structures,verb-object structures and clauses into nominalization structures.Through this translation strategy,the translation will be more in line with the English language characteristics and usage habits,and can accurately convey the information of the original text,finally realizing the effective translation of the language.展开更多
In China,the main discourse on human rights can be classified into four categories:political discourse,policy discourse,institutional discourse,and academic discourse.These four categories show significant differences...In China,the main discourse on human rights can be classified into four categories:political discourse,policy discourse,institutional discourse,and academic discourse.These four categories show significant differences in terms of the context,content,mode of expression,characteristics,and functions of the discourse.They cannot be simply equated or interchangeable with one another.However,they also rely on,restrict,and promote each other,and under certain conditions,they can be transformed into one another.It is needed to prevent imbalances,mismatches in context,isolation,and inadequate translation among human rights discourses.Meanwhile,it is essential to promote balanced development among different discourses,where each discourse maintains its own boundaries,refers to one another,and undergoes accurate translation,in order to construct their healthy interrelationships.Exploring appropriate methods of translation between discourses is an important and worthwhile topic for research in Chinese human rights discourse.It holds significant practical significance and academic value in constructing the Chinese human rights discourse system.展开更多
Chinese political discourse is the embodiment of the will of the people,the will of the CPC and the will of China.Conceptual metaphor is closely related to political discourse.Taking the 2022 government work report as...Chinese political discourse is the embodiment of the will of the people,the will of the CPC and the will of China.Conceptual metaphor is closely related to political discourse.Taking the 2022 government work report as an example,this paper discusses the metaphor problems in political discourse,and analyzes the metaphorical expressions and their functions in political discourse.Based on this,eco-translatology is used to analyze the translation strategies of metaphors in political discourse to help Chinese political discourse get better publicity.展开更多
Corporate image is the external manifestation of a company’s cultural and spiritual essence,as well as the overall impression formed through its interactions with the public.Huawei,as a successful multinational enter...Corporate image is the external manifestation of a company’s cultural and spiritual essence,as well as the overall impression formed through its interactions with the public.Huawei,as a successful multinational enterprise,has established a robust corporate image in the international market through technological innovation and brand building.Moreover,Huawei’s development is closely aligned with national policies and strategies,making it a representative enterprise for showcasing China’s technological independence and national image.This study examines Huawei’s English press releases on product launches published between 2022 and 2024 and conducts a comparative analysis with similar materials from Apple’s official website.Based on Fairclough’s three-dimensional discourse analysis model,this research explores the linguistic features of Huawei’s corporate image construction from the perspectives of text,discourse practice,and social practice.The findings reveal that Huawei has successfully constructed a corporate image that emphasizes technological innovation,prioritizes user needs,and underscores its identity as a national enterprise.This study not only sheds light on Huawei’s strategies for image construction in international competition but also provides a valuable reference for Chinese enterprises in their cultural communication and brand building during the globalization process.展开更多
This paper is committed to an empirical study on the application of common English discourse patterns in the English reading teaching for non-English major students at an average or lower proficiency level.A quantitat...This paper is committed to an empirical study on the application of common English discourse patterns in the English reading teaching for non-English major students at an average or lower proficiency level.A quantitative research method is adopted.The research results show that the application of discourse patterns in teaching in the network environment can help improve students’reading comprehension ability to a certain extent.展开更多
Based on conversation analysis theory,this study explored how teachers and students used discourse markers in foreign language classrooms and how these markers affect classroom interaction.The results showed that teac...Based on conversation analysis theory,this study explored how teachers and students used discourse markers in foreign language classrooms and how these markers affect classroom interaction.The results showed that teachers use different discourse markers in different teaching stages such as lead-in,presentation,practice and summary to make their teaching more organized and clearer.However,students used these markers less often,and their expressions are often less coherent.Based on these findings,the study suggests teaching strategies for teachers and learning strategies for students to improve how they use discourse markers.This can help make foreign language teaching more effective and interactive.展开更多
As a new research direction in contemporary cognitive science,predictive processing surpasses traditional computational representation and embodied cognition and has emerged as a new paradigm in cognitive science rese...As a new research direction in contemporary cognitive science,predictive processing surpasses traditional computational representation and embodied cognition and has emerged as a new paradigm in cognitive science research.The predictive processing theory advocates that the brain is a hierarchical predictive model based on Bayesian inference,and its purpose is to minimize the difference between the predicted world and the actual world,so as to minimize the prediction error.Predictive processing is therefore essentially a context-dependent model representation,an adaptive representational system designed to achieve its cognitive goals through the minimization of prediction error.展开更多
The effectiveness of machine learning(ML)models for architectural applications relies on high-quality datasets balanced with advancements in model architecture and computational capacity.Current methods for evaluating...The effectiveness of machine learning(ML)models for architectural applications relies on high-quality datasets balanced with advancements in model architecture and computational capacity.Current methods for evaluating architectural floor plan datasets typically depend on explicit semantic annotations,which limit their effectiveness and scalability when annotations are unavailable or inconsistent.To address this limitation,this research develops an isovist-based latent representation approach to quantitatively measure typicality and diversity within architectural datasets without relying on semantic labels.We introduce Isovist Latent Norm Typicality,a metric that leverages the statistical structure of latent representations derived from isovist morphological features using a variational autoencoder(VAE).This metric quantifies typicality by analyzing distributional shifts in latent representations between individual floor plans and a reference dataset using a modified Wasserstein distance.Experimental results demonstrate the approach’s ability to distinguish typical from atypical floor plan configurations,capturing the morphological features that complement conventional metrics.Comparative analysis indicates that our method provides insights into spatial organization,correlating with conventional properties such as programmatic diversity and spatial openness.By quantifying typicality through purely morphological features,the proposed methodology facilitates dataset curation prior to costly semantic annotation,enhancing dataset quality and enabling scalability to more extensive and diverse architectural datasets.展开更多
文摘People gradually learn that in grammar category, nominalization has a very close relation to the category of discourse. This article discusses nominalization from the viewpoints of three linguistic schools, then goes into the systemic functional linguistics in particular, and points out that nominalization is due to the need of communication, and has a very close relation to the category of discourse. Through the analysis of chosen language materials, this article wants to prove that the frequency of nominalization is in direct proportion to the degree of the formality of the category of discourse. That is to say, the higher the frequency is, the higher the degree is. It 's the same the other way round.
文摘As a Burundian doctoral student at Nanjing University,my personal journey is closely intertwined with China’s development in the new era and the deepening China-Africa partnership.Recently,my experiences have given me a deeper appreciation of the importance of people-to-people exchanges between China and Africa.
文摘Let F_(1)be the virtual field consisting of one element and(Q,I)a string pair.In this paper,we study the representations of string pairs over the virtual field F_(1).It is proved that an indecomposable F_(1)-representation is either a string representation or a band representation by using the coefficient quivers.It is worth noting that for a given band and a positive integer,there exists a unique band representation up to isomorphism.
文摘This study examines discourse structures and strategies employed by selected Nigerian socio-political actors to reconstruct a single dramatic event that involved Nigeria's former President Muhammadu Buhari at the Argungu Fishing Festival in Kebbi State on 12th March,2020.The data comprise excerpts from various statements of Messrs Nnamdi Kanu,Femi Adesina,Femi Fani-Kayode,Lai Moham-med and Jamilu Gunddare,which were drawn from newspaper reports of Daily Post,Premium Times and The Cable between 12th and 13th March,2020.Using the socio-cognitive model of critical discourse analysis as a guide,the qualitative analysis revealed that different discourse structures and strategies in the texts formed three broad themes:verbal attacks,crisis management and expose.While Kanu deployed metaphor,dysphemism and number game to portray the event as an attempted arrest of Buhari's impostor,Fani-Kayode employed exaggeration,dysphemism and positive other-representation to reconstruct it as an attempted attack.However,through euphemism,dysphemism,vagueness and disclaimers,Adesina and Mohammed describe the event as an embrace,while Gunddare used positive self-representation,legitimisation,euphemism and disclaimer to explain his sup-posed positive intent.The study,therefore,concludes that Nigerian socio-political actors,like their global counterparts,do not present realities in public discourse but reproduce their personal/group ideologies.
文摘This article explores the academic discourse on“Made in China”from the perspective of the Discourse-Historical Approach(DHA),aiming to understand how this discourse is constructed,evaluated,and transformed in the international academic landscape.Drawing on a corpus of highly cited English academic papers,the study examines the discursive strategies used to shape the evolving image of“Made in China”.The findings indicate a clear shift in academic perception-from a label associated with cheap labor and low-end production to one increasingly linked to technological innovation,environmental responsibility,and global cooperation.Through keyword analysis,intertextual mapping,and discursive strategy identification,this article offers insights into how language reflects and reproduces broader geopolitical and ideological shifts.
基金the National Natural Science Foundation of China(Grant Nos.61876113 and 61876112)the Beijing Natural Science Foundation(Grant No.4192017)+1 种基金the Support Project of High-level Teachers in Beijing Municipal Universities in the Period of 13th Five-year Plan(Grant No.CIT&TCD20170322)the Capacity Building for Sci-Tech Innovation-Fundamental Scientific Research Funds。
文摘Neural network based deep learning methods aim to learn representations of data and have produced state-of-the-art results in many natural language processing(NLP)tasks.Discourse parsing is an important research topic in discourse analysis,aiming to infer the discourse structure and model the coherence of a given text.This survey covers text-level discourse parsing,shallow discourse parsing and coherence assessment.We first introduce the basic concepts and traditional approaches,and then focus on recent advances in discourse structure oriented representation learning.We also introduce a trend of discourse structure aware representation learning that is to exploit discourse structures or discourse objectives for learning representations of sentences and documents for specific applications or for general purpose.Finally,we present a brief summary of the progress and discuss several future directions.
基金supported by the National Natural Science Foundation of China(Nos.12072027,62103052,61603346 and 62103379)the Henan Key Laboratory of General Aviation Technology,China(No.ZHKF-230201)+3 种基金the Funding for the Open Research Project of the Rotor Aerodynamics Key Laboratory,China(No.RAL20200101)the Key Research and Development Program of Henan Province,China(Nos.241111222000 and 241111222900)the Key Science and Technology Program of Henan Province,China(No.232102220067)the Scholarship Funding from the China Scholarship Council(No.202206030079).
文摘In global navigation satellite system denial environment,cross-view geo-localization based on image retrieval presents an exceedingly critical visual localization solution for Unmanned Aerial Vehicle(UAV)systems.The essence of cross-view geo-localization resides in matching images containing the same geographical targets from disparate platforms,such as UAV-view and satellite-view images.However,images of the same geographical targets may suffer from occlusions and geometric distortions due to variations in the capturing platform,view,and timing.The existing methods predominantly extract features by segmenting feature maps,which overlook the holistic semantic distribution and structural information of objects,resulting in loss of image information.To address these challenges,dilated neighborhood attention Transformer is employed as the feature extraction backbone,and Multi-feature representations based on Multi-scale Hierarchical Contextual Aggregation(MMHCA)is proposed.In the proposed MMHCA method,the multiscale hierarchical contextual aggregation method is utilized to extract contextual information from local to global across various granularity levels,establishing feature associations of contextual information with global and local information in the image.Subsequently,the multi-feature representations method is utilized to obtain rich discriminative feature information,bolstering the robustness of model in scenarios characterized by positional shifts,varying distances,and scale ambiguities.Comprehensive experiments conducted on the extensively utilized University-1652 and SUES-200 benchmarks indicate that the MMHCA method surpasses the existing techniques.showing outstanding results in UAV localization and navigation.
基金supported by the Shenzhen Key Laboratory of Intelligent Bioinformatics(No.ZDSYS20220422103800001)the Shenzhen Science and Technology Program(No.JCYJ20230807140709020)+2 种基金National Natural Science Foundation of China(Nos.62402489,U22A2041,and 62373172)the China Postdoctoral Science Foundation(No.2023M743688)Guangdong Basic and Applied Basic Research Foundation(Nos.2024A1515011960 and 2023A1515110570)。
文摘Artificial intelligence(AI)researchers and cheminformatics specialists strive to identify effective drug precursors while optimizing costs and accelerating development processes.Digital molecular representation plays a crucial role in achieving this objective by making molecules machine-readable,thereby enhancing the accuracy of molecular prediction tasks and facilitating evidence-based decision making.This study presents a comprehensive review of small molecular representations and AI-driven drug discovery downstream tasks utilizing these representations.The research methodology begins with the compilation of small molecule databases,followed by an analysis of fundamental molecular representations and the models that learn these representations from initial forms,capturing patterns and salient features across extensive chemical spaces.The study then examines various drug discovery downstream tasks,including drug-target interaction(DTI)prediction,drug-target affinity(DTA)prediction,drug property(DP)prediction,and drug generation,all based on learned representations.The analysis concludes by highlighting challenges and opportunities associated with machine learning(ML)methods for molecular representation and improving downstream task performance.Additionally,the representation of small molecules and AI-based downstream tasks demonstrates significant potential in identifying traditional Chinese medicine(TCM)medicinal substances and facilitating TCM target discovery.
文摘Discourse markers(DMs)in many languages have been investigated from various theoretical perspectives and within diverse methodological paradigms for decades.Studies within the field of DMs are accelerating rapidly;however,few state-of-the-art reviews have been conducted to systematically inform scholars of the current landscape of DM research.This investigation conducted a comprehensive review of 2,183 studies from 2009 to 2022,leveraging CiteSpace for bibliometric analysis.The study aims to illuminate emerging trends and focal areas within DM research and lay the groundwork for further interdisciplinary exploration and collaboration in this area.The analysis reveals a growing interest in DM studies,identifies leading contributors,including countries,universities,and scholars,highlights the most cited journals and references shaping the field,and delineates prevalent research themes and topics,as well as methodological approaches employed.These findings indicate that DM research has evolved from a linguistic inquiry into an interdisciplinary domain employing varied methodologies such as qualitative and/or quantitative,experimental,and synchronic and/or diachronic.This study can provide important implications for future research in terms of the pragmatic turn,interdisciplinary nature,expansion of data from English to various other languages,and diversified methodologies.
文摘Nominalization,as the main means of reaching grammatical metaphor,is one of the distinctive features of written corpora and plays an important role in the discourse construction of news discourse.Based on the theory of grammatical metaphor,this article discusses the phenomenon of nominalization and its translation strategies in news discourse by analyzing translation examples.It is found that nominalization structure can effectively enhance the informativeness and objectivity of news discourse.When translating from Chinese to English,the translator should take into full consideration of the different characteristics of the two languages,and convert the predicates,subject-predicate structures,verb-object structures and clauses into nominalization structures.Through this translation strategy,the translation will be more in line with the English language characteristics and usage habits,and can accurately convey the information of the original text,finally realizing the effective translation of the language.
基金a phased outcome of the research project“Research on the Practice of Human Rights in China Promoting and Enriching Shared Values for All Humanity”funded by the National Social Science Fund of China under project approval No.22ZDA127。
文摘In China,the main discourse on human rights can be classified into four categories:political discourse,policy discourse,institutional discourse,and academic discourse.These four categories show significant differences in terms of the context,content,mode of expression,characteristics,and functions of the discourse.They cannot be simply equated or interchangeable with one another.However,they also rely on,restrict,and promote each other,and under certain conditions,they can be transformed into one another.It is needed to prevent imbalances,mismatches in context,isolation,and inadequate translation among human rights discourses.Meanwhile,it is essential to promote balanced development among different discourses,where each discourse maintains its own boundaries,refers to one another,and undergoes accurate translation,in order to construct their healthy interrelationships.Exploring appropriate methods of translation between discourses is an important and worthwhile topic for research in Chinese human rights discourse.It holds significant practical significance and academic value in constructing the Chinese human rights discourse system.
文摘Chinese political discourse is the embodiment of the will of the people,the will of the CPC and the will of China.Conceptual metaphor is closely related to political discourse.Taking the 2022 government work report as an example,this paper discusses the metaphor problems in political discourse,and analyzes the metaphorical expressions and their functions in political discourse.Based on this,eco-translatology is used to analyze the translation strategies of metaphors in political discourse to help Chinese political discourse get better publicity.
文摘Corporate image is the external manifestation of a company’s cultural and spiritual essence,as well as the overall impression formed through its interactions with the public.Huawei,as a successful multinational enterprise,has established a robust corporate image in the international market through technological innovation and brand building.Moreover,Huawei’s development is closely aligned with national policies and strategies,making it a representative enterprise for showcasing China’s technological independence and national image.This study examines Huawei’s English press releases on product launches published between 2022 and 2024 and conducts a comparative analysis with similar materials from Apple’s official website.Based on Fairclough’s three-dimensional discourse analysis model,this research explores the linguistic features of Huawei’s corporate image construction from the perspectives of text,discourse practice,and social practice.The findings reveal that Huawei has successfully constructed a corporate image that emphasizes technological innovation,prioritizes user needs,and underscores its identity as a national enterprise.This study not only sheds light on Huawei’s strategies for image construction in international competition but also provides a valuable reference for Chinese enterprises in their cultural communication and brand building during the globalization process.
基金General Project for Educational and Teaching Reform of Xinjiang Yili Normal University,2022:Empirical Study on the Reform of College English Reading Teaching Based on Discourse Patterns in Network Environment.Funding amount:CNY 10,000.Duration:April 2022-April 2025(Project No.:YSYB202268).
文摘This paper is committed to an empirical study on the application of common English discourse patterns in the English reading teaching for non-English major students at an average or lower proficiency level.A quantitative research method is adopted.The research results show that the application of discourse patterns in teaching in the network environment can help improve students’reading comprehension ability to a certain extent.
基金Survey on the Use of Discourse Markers by Teachers and Students in Foreign Language Classrooms:Taking Teaching Stages and Contexts as Examples(Project No.:20240847)Ideological and Political Teaching Practice of Linguistics Course Under New Liberal Arts(Project No.:JG2023074)。
文摘Based on conversation analysis theory,this study explored how teachers and students used discourse markers in foreign language classrooms and how these markers affect classroom interaction.The results showed that teachers use different discourse markers in different teaching stages such as lead-in,presentation,practice and summary to make their teaching more organized and clearer.However,students used these markers less often,and their expressions are often less coherent.Based on these findings,the study suggests teaching strategies for teachers and learning strategies for students to improve how they use discourse markers.This can help make foreign language teaching more effective and interactive.
基金supported by the National Social Science Fund of China’s project‘Philosophical Research on the Challenge of Artificial Cognition to Natural Cognition’(grant number 21&ZD061)
文摘As a new research direction in contemporary cognitive science,predictive processing surpasses traditional computational representation and embodied cognition and has emerged as a new paradigm in cognitive science research.The predictive processing theory advocates that the brain is a hierarchical predictive model based on Bayesian inference,and its purpose is to minimize the difference between the predicted world and the actual world,so as to minimize the prediction error.Predictive processing is therefore essentially a context-dependent model representation,an adaptive representational system designed to achieve its cognitive goals through the minimization of prediction error.
文摘The effectiveness of machine learning(ML)models for architectural applications relies on high-quality datasets balanced with advancements in model architecture and computational capacity.Current methods for evaluating architectural floor plan datasets typically depend on explicit semantic annotations,which limit their effectiveness and scalability when annotations are unavailable or inconsistent.To address this limitation,this research develops an isovist-based latent representation approach to quantitatively measure typicality and diversity within architectural datasets without relying on semantic labels.We introduce Isovist Latent Norm Typicality,a metric that leverages the statistical structure of latent representations derived from isovist morphological features using a variational autoencoder(VAE).This metric quantifies typicality by analyzing distributional shifts in latent representations between individual floor plans and a reference dataset using a modified Wasserstein distance.Experimental results demonstrate the approach’s ability to distinguish typical from atypical floor plan configurations,capturing the morphological features that complement conventional metrics.Comparative analysis indicates that our method provides insights into spatial organization,correlating with conventional properties such as programmatic diversity and spatial openness.By quantifying typicality through purely morphological features,the proposed methodology facilitates dataset curation prior to costly semantic annotation,enhancing dataset quality and enabling scalability to more extensive and diverse architectural datasets.
