The“First Multidisciplinary Forum on COVID-19,”as one of the pivotal medical forums organized by China during the initial outbreak of the pandemic,garnered significant attention from numerous countries worldwide.Ens...The“First Multidisciplinary Forum on COVID-19,”as one of the pivotal medical forums organized by China during the initial outbreak of the pandemic,garnered significant attention from numerous countries worldwide.Ensuring the seamless execution of the forum’s translation necessitated exceptionally high standards for simultaneous interpreters.This paper,through the lens of the Translation as Adaptation and Selection theory within Eco-Translatology,conducts an analytical study of the live simultaneous interpretation at the First Multidisciplinary Forum on COVID-19.It examines the interpreters’adaptations and selections across multiple dimensions-namely,linguistic,cultural,and communicative-with the aim of elucidating the guiding role and recommendations that Eco-Translatology can offer to simultaneous interpretation.Furthermore,it seeks to provide insights that may enhance the quality of interpreters’oral translations.展开更多
Deep learning has become integral to robotics,particularly in tasks such as robotic grasping,where objects often exhibit diverse shapes,textures,and physical properties.In robotic grasping tasks,due to the diverse cha...Deep learning has become integral to robotics,particularly in tasks such as robotic grasping,where objects often exhibit diverse shapes,textures,and physical properties.In robotic grasping tasks,due to the diverse characteristics of the targets,frequent adjustments to the network architecture and parameters are required to avoid a decrease in model accuracy,which presents a significant challenge for non-experts.Neural Architecture Search(NAS)provides a compelling method through the automated generation of network architectures,enabling the discovery of models that achieve high accuracy through efficient search algorithms.Compared to manually designed networks,NAS methods can significantly reduce design costs,time expenditure,and improve model performance.However,such methods often involve complex topological connections,and these redundant structures can severely reduce computational efficiency.To overcome this challenge,this work puts forward a robotic grasp detection framework founded on NAS.The method automatically designs a lightweight network with high accuracy and low topological complexity,effectively adapting to the target object to generate the optimal grasp pose,thereby significantly improving the success rate of robotic grasping.Additionally,we use Class Activation Mapping(CAM)as an interpretability tool,which captures sensitive information during the perception process through visualized results.The searched model achieved competitive,and in some cases superior,performance on the Cornell and Jacquard public datasets,achieving accuracies of 98.3%and 96.8%,respectively,while sustaining a detection speed of 89 frames per second with only 0.41 million parameters.To further validate its effectiveness beyond benchmark evaluations,we conducted real-world grasping experiments on a UR5 robotic arm,where the model demonstrated reliable performance across diverse objects and high grasp success rates,thereby confirming its practical applicability in robotic manipulation tasks.展开更多
Landslide susceptibility mapping(LSM)is an essential tool for mitigating the escalating global risk of landslides.However,challenges such as the heterogeneity of different landslide triggers,extensive engineering acti...Landslide susceptibility mapping(LSM)is an essential tool for mitigating the escalating global risk of landslides.However,challenges such as the heterogeneity of different landslide triggers,extensive engineering activities exacerbated reactivation,and the interpretability of data-driven models have hindered the practical application of LSM.This work proposes a novel framework for enhancing LSM considering different triggers for accumulation and rock landslides,leveraging interpretable machine learning and Multi-temporal Interferometric Synthetic Aperture Radar(MT-InSAR)technology.Initially,a refined fieldinvestigation was conducted to delineate the accumulation and rock area according to landslide types,leading to the identificationof relevant contributing factors.Deformation along the slope was then combined with time-series analysis to derive a landslide activity level(AL)index to recognize the likelihood of reactivation or dormancy.The SHapley Additive exPlanation(SHAP)technique facilitated the interpretation of factors and the identificationof determinants in high susceptibility areas.The results indicate that random forest(RF)outperformed other models in both accumulation and rock areas.Key factors including thickness and weak intercalation were identifiedfor accumulation and rock landslides.The introduction of AL substantially enhanced the predictive capability of the LSM and outperformed models that neglect movement trends or deformation rates with an average ratio of 81.23%in high susceptibility zones.Besides,the fieldvalidation confirmedthat 83.8%of newly identifiedlandslides were correctly upgraded.Given its efficiencyand operational simplicity,the proposed hybrid model opens new avenues for the feasibility of enhancement in LSM at urban settlements worldwide.展开更多
Geological prospecting and the identification of adverse geological features are essential in tunnel construction,providing critical information to ensure safety and guide engineering decisions.As tunnel projects exte...Geological prospecting and the identification of adverse geological features are essential in tunnel construction,providing critical information to ensure safety and guide engineering decisions.As tunnel projects extend into deeper and more mountainous terrains,engineers face increasingly complex geological conditions,including high water pressure,intense geo-stress,elevated geothermal gradients,and active fault zones.These conditions pose substantial risks such as high-pressure water inrush,largescale collapses,and tunnel boring machine(TBM)blockages.Addressing these challenges requires advanced detection technologies capable of long-distance,high-precision,and intelligent assessments of adverse geology.This paper presents a comprehensive review of recent advancements in tunnel geological ahead prospecting methods.It summarizes the fundamental principles,technical maturity,key challenges,development trends,and real-world applications of various detection techniques.Airborne and semi-airborne geophysical methods enable large-scale reconnaissance for initial surveys in complex terrain.Tunnel-and borehole-based approaches offer high-resolution detection during excavation,including seismic ahead prospecting(SAP),TBM rock-breaking source seismic methods,fulltime-domain tunnel induced polarization(TIP),borehole electrical resistivity,and ground penetrating radar(GPR).To address scenarios involving multiple,coexisting adverse geologies,intelligent inversion and geological identification methods have been developed based on multi-source data fusion and artificial intelligence(AI)techniques.Overall,these advances significantly improve detection range,resolution,and geological characterization capabilities.The methods demonstrate strong adaptability to complex environments and provide reliable subsurface information,supporting safer and more efficient tunnel construction.展开更多
Artificial Intelligence(AI)is changing healthcare by helping with diagnosis.However,for doctors to trust AI tools,they need to be both accurate and easy to understand.In this study,we created a new machine learning sy...Artificial Intelligence(AI)is changing healthcare by helping with diagnosis.However,for doctors to trust AI tools,they need to be both accurate and easy to understand.In this study,we created a new machine learning system for the early detection of Autism Spectrum Disorder(ASD)in children.Our main goal was to build a model that is not only good at predicting ASD but also clear in its reasoning.For this,we combined several different models,including Random Forest,XGBoost,and Neural Networks,into a single,more powerful framework.We used two different types of datasets:(i)a standard behavioral dataset and(ii)a more complex multimodal dataset with images,audio,and physiological information.The datasets were carefully preprocessed for missing values,redundant features,and dataset imbalance to ensure fair learning.The results outperformed the state-of-the-art with a Regularized Neural Network,achieving 97.6%accuracy on behavioral data.Whereas,on the multimodal data,the accuracy is 98.2%.Other models also did well with accuracies consistently above 96%.We also used SHAP and LIME on a behavioral dataset for models’explainability.展开更多
Accumulation of vocabulary, knowledge and experience is the foundation of comprehension and expression in simultaneous interpretation. This paper suggests the importance of accumulation in the development of a success...Accumulation of vocabulary, knowledge and experience is the foundation of comprehension and expression in simultaneous interpretation. This paper suggests the importance of accumulation in the development of a successful interpreter.展开更多
This article aims to describe the definition of the interpreter and then discuss the main types of the interpreter. In order to help people understand the interpreter well, it argues about the cultural difficulties of...This article aims to describe the definition of the interpreter and then discuss the main types of the interpreter. In order to help people understand the interpreter well, it argues about the cultural difficulties of being an interpreter.展开更多
With the more and more frequent of international communications, diplomatic work has come to a totally new age.The diplomatic interpreters must meet higher requirments and challenges. Hence what qualities they should ...With the more and more frequent of international communications, diplomatic work has come to a totally new age.The diplomatic interpreters must meet higher requirments and challenges. Hence what qualities they should have becomes an important problem.this thesis focus on four aspects to deal with it.展开更多
Jef Verschueren is the representative of European Continental pragmatic thought.He puts forward a new theory that pragmatics is a perspective on language and he uses the theory of adaptation to analyze pragmatics.&quo...Jef Verschueren is the representative of European Continental pragmatic thought.He puts forward a new theory that pragmatics is a perspective on language and he uses the theory of adaptation to analyze pragmatics."The general concern for the study of linguistic pragmatics is to understand the meaningful functioning of a language as a dynamic process operating on context-structure relationships at various levels of salience"(Verschuren 2000:69).The focal points in contexts are the utterer and the interpreter,for the physical,social and mental aspects of contexts are activated by language users’cognitive processes.Verschueren divided interpreter’s roles into five types:addressee,side participant,bystander,listener-in and eavesdropper,which can explain the adaptation of context and language choices.This is also applicable in college English classroom as the English class is also a context.At present students taught at the same time by the same teacher do not master the knowledge at the same level.One of the reason is that students are not engaged in the class at the same level.According to the Verschueren’s theory,the best English teaching class is one that each student in the addressee of teachers.Addressee is a metaphor which means everyone should follow the teachers’explanation carefully and take part in the teaching activities.It has something to do with interaction theory,which considers students as active individuals but not passive receivers.One of the common interaction patterns is questioning.In this thesis,the question how to make students addresses through adoption of questioning approach in college English class will be researched.展开更多
AOPLID is a novel agent oriented programming language whose theoretical framework is the existed situation calculus theory and agent model based on intention driven manner. An AOPLID program is represented in set ma...AOPLID is a novel agent oriented programming language whose theoretical framework is the existed situation calculus theory and agent model based on intention driven manner. An AOPLID program is represented in set manner. In this paper, an off line AOPLID interpreter in Prolog is implemented, based on the off line AOPLID program semantics. At the same time, the set of rules is given which transforms an AOPLID program represented by sets into Prolog clauses so that it can be interpreted by the off line interpreter. Finally, the sound codes of the off line interpreter are listed.展开更多
Cross-cultural awareness is one of the basic requirements for interpreters when they participate in intercultural communications, which is a particular way of thinking, a criterion for judgment or an acute sensitivity...Cross-cultural awareness is one of the basic requirements for interpreters when they participate in intercultural communications, which is a particular way of thinking, a criterion for judgment or an acute sensitivity to be cultivated by the interpreters. Interpreters should remain aware of the possible cultural differences and conduct cultural mediating accordingly in interpretation.展开更多
On the whole, the requirements on business interpreters are almost the same with other interpreters. However, the characteristics of business activities requires that the interpreter should have wide knowledge of the ...On the whole, the requirements on business interpreters are almost the same with other interpreters. However, the characteristics of business activities requires that the interpreter should have wide knowledge of the business proper names and phrases, the sensitivity against numbers and the awareness of the different cultures in trade. To be an interpreter in business, one should pay special attention to these aspects.展开更多
Business interpretation is quite challenging work which demands highly competent interpreters.This papers discusses about three indispensable qualities of such professionals,namely comprehensive adoption of basic tran...Business interpretation is quite challenging work which demands highly competent interpreters.This papers discusses about three indispensable qualities of such professionals,namely comprehensive adoption of basic translating techniques,good mastery of business knowledge,accurate and flexible coping.展开更多
Interpreting has been known as and proven a stressful job.This paper introduces the phenomena and symptoms of psychological stress that often,if not always,occur in the profession of interpreting.It then pinpoints the...Interpreting has been known as and proven a stressful job.This paper introduces the phenomena and symptoms of psychological stress that often,if not always,occur in the profession of interpreting.It then pinpoints the factors that expose interpreters to stress,which include biological factors,environmental factors,cognitive factors and personality factors.At last,practical stress management strategies are proposed,namely to improve the comfort level of the physical working environment for interpreters,to improve their physical fitness,to increase support and cooperation from concerned parties,and finally to rethink,relax and release stress.展开更多
With the frequent communications between China and western countries in the field of economy, politics and culture, etc, Interpreting becomes more and more important to people in all walks of life.This paper aims to t...With the frequent communications between China and western countries in the field of economy, politics and culture, etc, Interpreting becomes more and more important to people in all walks of life.This paper aims to testify the author's hypothesis 'professional interpreters have similar short-term memory with unprofessional interpreters, but they have superior working memory.' After the illustration of literatures concerning with consecutive interpreting, short-term memory and working memory, experiments design and analysis are described. Based on the experiment results, this paper further discussed three influential factors contributing to the test results such as interpreting experience, background knowledge.展开更多
With the rapid development of globalization, the whole world interweaves unprecedentedly. The frequent global communication is in desperate need of qualified translators and interpreters which draws great attention an...With the rapid development of globalization, the whole world interweaves unprecedentedly. The frequent global communication is in desperate need of qualified translators and interpreters which draws great attention and invokes discussion about the standard of translation. Is the widely acknowledged criterion—neutral position a possible and necessary regulation to justify professional translators? This essay will illustrate that the interpreters influenced by environment, culture and other factors can’t perform with an absolute neutral position. Furthermore, the creativity of interpreters, who conduct heuristic work instead of algorithmic and reduplicated work, play a pivotal role in qualified work and their long-term development on the basis of Skopos Theory and classical examples, which testifies that it is improper to regard neutral position as a significant standard to evaluate the quality of interpreters.展开更多
In the modern era, educators have to attach importance on the requirements of talent quality training in the 21st century and make unremitting efforts to meet these requirements. How to help students overcome state fr...In the modern era, educators have to attach importance on the requirements of talent quality training in the 21st century and make unremitting efforts to meet these requirements. How to help students overcome state fright and adapt to the actual scene of interpreting has been a major concern for professors and teachers. Psychological quality, which is as important as other interpretation skills, such as listening, is a premise of a successful and qualified interpretation. This essay will analyze how to educate a qualified interpreter in terms of psychological quality by various aspects, including putting more emphasis on bilingual learning, enriching students’ cultural connotations, enhancing teachers’ comprehensive quality, cultivating students’ English public speaking ability, creating authentic interpretation environments, improving students’ adaptability of different interpretation environments, and using other practical skills.展开更多
文摘The“First Multidisciplinary Forum on COVID-19,”as one of the pivotal medical forums organized by China during the initial outbreak of the pandemic,garnered significant attention from numerous countries worldwide.Ensuring the seamless execution of the forum’s translation necessitated exceptionally high standards for simultaneous interpreters.This paper,through the lens of the Translation as Adaptation and Selection theory within Eco-Translatology,conducts an analytical study of the live simultaneous interpretation at the First Multidisciplinary Forum on COVID-19.It examines the interpreters’adaptations and selections across multiple dimensions-namely,linguistic,cultural,and communicative-with the aim of elucidating the guiding role and recommendations that Eco-Translatology can offer to simultaneous interpretation.Furthermore,it seeks to provide insights that may enhance the quality of interpreters’oral translations.
基金funded by Guangdong Basic and Applied Basic Research Foundation(2023B1515120064)National Natural Science Foundation of China(62273097).
文摘Deep learning has become integral to robotics,particularly in tasks such as robotic grasping,where objects often exhibit diverse shapes,textures,and physical properties.In robotic grasping tasks,due to the diverse characteristics of the targets,frequent adjustments to the network architecture and parameters are required to avoid a decrease in model accuracy,which presents a significant challenge for non-experts.Neural Architecture Search(NAS)provides a compelling method through the automated generation of network architectures,enabling the discovery of models that achieve high accuracy through efficient search algorithms.Compared to manually designed networks,NAS methods can significantly reduce design costs,time expenditure,and improve model performance.However,such methods often involve complex topological connections,and these redundant structures can severely reduce computational efficiency.To overcome this challenge,this work puts forward a robotic grasp detection framework founded on NAS.The method automatically designs a lightweight network with high accuracy and low topological complexity,effectively adapting to the target object to generate the optimal grasp pose,thereby significantly improving the success rate of robotic grasping.Additionally,we use Class Activation Mapping(CAM)as an interpretability tool,which captures sensitive information during the perception process through visualized results.The searched model achieved competitive,and in some cases superior,performance on the Cornell and Jacquard public datasets,achieving accuracies of 98.3%and 96.8%,respectively,while sustaining a detection speed of 89 frames per second with only 0.41 million parameters.To further validate its effectiveness beyond benchmark evaluations,we conducted real-world grasping experiments on a UR5 robotic arm,where the model demonstrated reliable performance across diverse objects and high grasp success rates,thereby confirming its practical applicability in robotic manipulation tasks.
基金supported by the National Key R&D Program of China(Grant No.2023YFC3007201)the National Natural Science Foundation of China(Grant No.42377161)the Opening Fund of Key Laboratory of Geological Survey and Evaluation of Ministry of Education(Grant No.GLAB 2024ZR03).
文摘Landslide susceptibility mapping(LSM)is an essential tool for mitigating the escalating global risk of landslides.However,challenges such as the heterogeneity of different landslide triggers,extensive engineering activities exacerbated reactivation,and the interpretability of data-driven models have hindered the practical application of LSM.This work proposes a novel framework for enhancing LSM considering different triggers for accumulation and rock landslides,leveraging interpretable machine learning and Multi-temporal Interferometric Synthetic Aperture Radar(MT-InSAR)technology.Initially,a refined fieldinvestigation was conducted to delineate the accumulation and rock area according to landslide types,leading to the identificationof relevant contributing factors.Deformation along the slope was then combined with time-series analysis to derive a landslide activity level(AL)index to recognize the likelihood of reactivation or dormancy.The SHapley Additive exPlanation(SHAP)technique facilitated the interpretation of factors and the identificationof determinants in high susceptibility areas.The results indicate that random forest(RF)outperformed other models in both accumulation and rock areas.Key factors including thickness and weak intercalation were identifiedfor accumulation and rock landslides.The introduction of AL substantially enhanced the predictive capability of the LSM and outperformed models that neglect movement trends or deformation rates with an average ratio of 81.23%in high susceptibility zones.Besides,the fieldvalidation confirmedthat 83.8%of newly identifiedlandslides were correctly upgraded.Given its efficiencyand operational simplicity,the proposed hybrid model opens new avenues for the feasibility of enhancement in LSM at urban settlements worldwide.
基金supported by the National Natural Science Foundation of China(Grant Nos.52021005,52325904,and 51991391)。
文摘Geological prospecting and the identification of adverse geological features are essential in tunnel construction,providing critical information to ensure safety and guide engineering decisions.As tunnel projects extend into deeper and more mountainous terrains,engineers face increasingly complex geological conditions,including high water pressure,intense geo-stress,elevated geothermal gradients,and active fault zones.These conditions pose substantial risks such as high-pressure water inrush,largescale collapses,and tunnel boring machine(TBM)blockages.Addressing these challenges requires advanced detection technologies capable of long-distance,high-precision,and intelligent assessments of adverse geology.This paper presents a comprehensive review of recent advancements in tunnel geological ahead prospecting methods.It summarizes the fundamental principles,technical maturity,key challenges,development trends,and real-world applications of various detection techniques.Airborne and semi-airborne geophysical methods enable large-scale reconnaissance for initial surveys in complex terrain.Tunnel-and borehole-based approaches offer high-resolution detection during excavation,including seismic ahead prospecting(SAP),TBM rock-breaking source seismic methods,fulltime-domain tunnel induced polarization(TIP),borehole electrical resistivity,and ground penetrating radar(GPR).To address scenarios involving multiple,coexisting adverse geologies,intelligent inversion and geological identification methods have been developed based on multi-source data fusion and artificial intelligence(AI)techniques.Overall,these advances significantly improve detection range,resolution,and geological characterization capabilities.The methods demonstrate strong adaptability to complex environments and provide reliable subsurface information,supporting safer and more efficient tunnel construction.
基金the King Salman center for Disability Research for funding this work through Research Group No.KSRG-2024-050.
文摘Artificial Intelligence(AI)is changing healthcare by helping with diagnosis.However,for doctors to trust AI tools,they need to be both accurate and easy to understand.In this study,we created a new machine learning system for the early detection of Autism Spectrum Disorder(ASD)in children.Our main goal was to build a model that is not only good at predicting ASD but also clear in its reasoning.For this,we combined several different models,including Random Forest,XGBoost,and Neural Networks,into a single,more powerful framework.We used two different types of datasets:(i)a standard behavioral dataset and(ii)a more complex multimodal dataset with images,audio,and physiological information.The datasets were carefully preprocessed for missing values,redundant features,and dataset imbalance to ensure fair learning.The results outperformed the state-of-the-art with a Regularized Neural Network,achieving 97.6%accuracy on behavioral data.Whereas,on the multimodal data,the accuracy is 98.2%.Other models also did well with accuracies consistently above 96%.We also used SHAP and LIME on a behavioral dataset for models’explainability.
文摘Accumulation of vocabulary, knowledge and experience is the foundation of comprehension and expression in simultaneous interpretation. This paper suggests the importance of accumulation in the development of a successful interpreter.
文摘This article aims to describe the definition of the interpreter and then discuss the main types of the interpreter. In order to help people understand the interpreter well, it argues about the cultural difficulties of being an interpreter.
文摘With the more and more frequent of international communications, diplomatic work has come to a totally new age.The diplomatic interpreters must meet higher requirments and challenges. Hence what qualities they should have becomes an important problem.this thesis focus on four aspects to deal with it.
文摘Jef Verschueren is the representative of European Continental pragmatic thought.He puts forward a new theory that pragmatics is a perspective on language and he uses the theory of adaptation to analyze pragmatics."The general concern for the study of linguistic pragmatics is to understand the meaningful functioning of a language as a dynamic process operating on context-structure relationships at various levels of salience"(Verschuren 2000:69).The focal points in contexts are the utterer and the interpreter,for the physical,social and mental aspects of contexts are activated by language users’cognitive processes.Verschueren divided interpreter’s roles into five types:addressee,side participant,bystander,listener-in and eavesdropper,which can explain the adaptation of context and language choices.This is also applicable in college English classroom as the English class is also a context.At present students taught at the same time by the same teacher do not master the knowledge at the same level.One of the reason is that students are not engaged in the class at the same level.According to the Verschueren’s theory,the best English teaching class is one that each student in the addressee of teachers.Addressee is a metaphor which means everyone should follow the teachers’explanation carefully and take part in the teaching activities.It has something to do with interaction theory,which considers students as active individuals but not passive receivers.One of the common interaction patterns is questioning.In this thesis,the question how to make students addresses through adoption of questioning approach in college English class will be researched.
文摘AOPLID is a novel agent oriented programming language whose theoretical framework is the existed situation calculus theory and agent model based on intention driven manner. An AOPLID program is represented in set manner. In this paper, an off line AOPLID interpreter in Prolog is implemented, based on the off line AOPLID program semantics. At the same time, the set of rules is given which transforms an AOPLID program represented by sets into Prolog clauses so that it can be interpreted by the off line interpreter. Finally, the sound codes of the off line interpreter are listed.
文摘Cross-cultural awareness is one of the basic requirements for interpreters when they participate in intercultural communications, which is a particular way of thinking, a criterion for judgment or an acute sensitivity to be cultivated by the interpreters. Interpreters should remain aware of the possible cultural differences and conduct cultural mediating accordingly in interpretation.
文摘On the whole, the requirements on business interpreters are almost the same with other interpreters. However, the characteristics of business activities requires that the interpreter should have wide knowledge of the business proper names and phrases, the sensitivity against numbers and the awareness of the different cultures in trade. To be an interpreter in business, one should pay special attention to these aspects.
文摘Business interpretation is quite challenging work which demands highly competent interpreters.This papers discusses about three indispensable qualities of such professionals,namely comprehensive adoption of basic translating techniques,good mastery of business knowledge,accurate and flexible coping.
文摘Interpreting has been known as and proven a stressful job.This paper introduces the phenomena and symptoms of psychological stress that often,if not always,occur in the profession of interpreting.It then pinpoints the factors that expose interpreters to stress,which include biological factors,environmental factors,cognitive factors and personality factors.At last,practical stress management strategies are proposed,namely to improve the comfort level of the physical working environment for interpreters,to improve their physical fitness,to increase support and cooperation from concerned parties,and finally to rethink,relax and release stress.
文摘With the frequent communications between China and western countries in the field of economy, politics and culture, etc, Interpreting becomes more and more important to people in all walks of life.This paper aims to testify the author's hypothesis 'professional interpreters have similar short-term memory with unprofessional interpreters, but they have superior working memory.' After the illustration of literatures concerning with consecutive interpreting, short-term memory and working memory, experiments design and analysis are described. Based on the experiment results, this paper further discussed three influential factors contributing to the test results such as interpreting experience, background knowledge.
文摘With the rapid development of globalization, the whole world interweaves unprecedentedly. The frequent global communication is in desperate need of qualified translators and interpreters which draws great attention and invokes discussion about the standard of translation. Is the widely acknowledged criterion—neutral position a possible and necessary regulation to justify professional translators? This essay will illustrate that the interpreters influenced by environment, culture and other factors can’t perform with an absolute neutral position. Furthermore, the creativity of interpreters, who conduct heuristic work instead of algorithmic and reduplicated work, play a pivotal role in qualified work and their long-term development on the basis of Skopos Theory and classical examples, which testifies that it is improper to regard neutral position as a significant standard to evaluate the quality of interpreters.
文摘In the modern era, educators have to attach importance on the requirements of talent quality training in the 21st century and make unremitting efforts to meet these requirements. How to help students overcome state fright and adapt to the actual scene of interpreting has been a major concern for professors and teachers. Psychological quality, which is as important as other interpretation skills, such as listening, is a premise of a successful and qualified interpretation. This essay will analyze how to educate a qualified interpreter in terms of psychological quality by various aspects, including putting more emphasis on bilingual learning, enriching students’ cultural connotations, enhancing teachers’ comprehensive quality, cultivating students’ English public speaking ability, creating authentic interpretation environments, improving students’ adaptability of different interpretation environments, and using other practical skills.
