This thesis aims at analyzing the Chinglish in press conference interpretation with context adaptation of Belgian linguist Jef Verschueren’s Adaptation Theory as the theoretical framework.In Adaptation Theory,context...This thesis aims at analyzing the Chinglish in press conference interpretation with context adaptation of Belgian linguist Jef Verschueren’s Adaptation Theory as the theoretical framework.In Adaptation Theory,context includes all kinds of factors that concern the environment in which the communication takes place,with non-linguistic factors like the physical world,the social world and the mental world playing an important role.Taking the press conference interpretation of the 2nd Guangdong International Consultative Conference as an example,the author attempts to prove the presumption that Adaptation Theory can be applied to spot and reduce the Chinglish in interpreting.It is concluded that the theory of adaptation to the mental world and social world can be applied to reduce the Chinglish of two particular kinds to the minimum level and achieve successful communication.展开更多
With the development of artificial intelligence and breakthroughs in deep learning,large-scale foundation models(FMs),such as generative pre-trained transformer(GPT),Sora,etc.,have achieved remarkable results in many ...With the development of artificial intelligence and breakthroughs in deep learning,large-scale foundation models(FMs),such as generative pre-trained transformer(GPT),Sora,etc.,have achieved remarkable results in many fields including natural language processing and computer vision.The application of FMs in autonomous driving holds considerable promise.For example,they can contribute to enhancing scene understanding and reasoning.By pre-training on rich linguistic and visual data,FMs can understand and interpret various elements in a driving scene,and provide cognitive reasoning to give linguistic and action instructions for driving decisions and planning.Furthermore,FMs can augment data based on the understanding of driving scenarios to provide feasible scenes of those rare occurrences in the long tail distribution that are unlikely to be encountered during routine driving and data collection.The enhancement can subsequently lead to improvement in the accuracy and reliability of autonomous driving systems.Another testament to the potential of FMs'applications lies in world models,exemplified by the DREAMER series,which showcases the ability to comprehend physical laws and dynamics.Learning from massive data under the paradigm of self-supervised learning,world models can generate unseen yet plausible driving environments,facilitating the enhancement in the prediction of road users'behaviors and the off-line training of driving strategies.In this paper,we synthesize the applications and future trends of FMs in autonomous driving.By utilizing the powerful capabilities of FMs,we strive to tackle the potential issues stemming from the long-tail distribution in autonomous driving,consequently advancing overall safety in this domain.展开更多
20071303 Chen Kaisheng(Highway College of Chang’an University,Xi’an 710064); Peng Xiaoping Application of Seismic Wave Method in Detecting Grouting Effects of Daping Rock Pile(Journal of Engineering Geology,ISSN1004...20071303 Chen Kaisheng(Highway College of Chang’an University,Xi’an 710064); Peng Xiaoping Application of Seismic Wave Method in Detecting Grouting Effects of Daping Rock Pile(Journal of Engineering Geology,ISSN1004-9665,CN11-3249/ P,13(4),2005,p.530-532,3 illus.。展开更多
I.Introduction1.1 Definition of an error An error happens when the interpreter’s delivery affects the communicative impact of the speaker’s message,including semantic inaccuracies and inaccuracies of presentation.Al...I.Introduction1.1 Definition of an error An error happens when the interpreter’s delivery affects the communicative impact of the speaker’s message,including semantic inaccuracies and inaccuracies of presentation.Along with the development of simultaneous interpreting,there has been a number of professional interpreters and linguists present their definitions and points of views about the展开更多
文摘This thesis aims at analyzing the Chinglish in press conference interpretation with context adaptation of Belgian linguist Jef Verschueren’s Adaptation Theory as the theoretical framework.In Adaptation Theory,context includes all kinds of factors that concern the environment in which the communication takes place,with non-linguistic factors like the physical world,the social world and the mental world playing an important role.Taking the press conference interpretation of the 2nd Guangdong International Consultative Conference as an example,the author attempts to prove the presumption that Adaptation Theory can be applied to spot and reduce the Chinglish in interpreting.It is concluded that the theory of adaptation to the mental world and social world can be applied to reduce the Chinglish of two particular kinds to the minimum level and achieve successful communication.
基金supported in part by the National Nature Science Foundation of China(nos.62373289,62273256,and 62088101)the Fundamental Research Funds for the Central Universities.
文摘With the development of artificial intelligence and breakthroughs in deep learning,large-scale foundation models(FMs),such as generative pre-trained transformer(GPT),Sora,etc.,have achieved remarkable results in many fields including natural language processing and computer vision.The application of FMs in autonomous driving holds considerable promise.For example,they can contribute to enhancing scene understanding and reasoning.By pre-training on rich linguistic and visual data,FMs can understand and interpret various elements in a driving scene,and provide cognitive reasoning to give linguistic and action instructions for driving decisions and planning.Furthermore,FMs can augment data based on the understanding of driving scenarios to provide feasible scenes of those rare occurrences in the long tail distribution that are unlikely to be encountered during routine driving and data collection.The enhancement can subsequently lead to improvement in the accuracy and reliability of autonomous driving systems.Another testament to the potential of FMs'applications lies in world models,exemplified by the DREAMER series,which showcases the ability to comprehend physical laws and dynamics.Learning from massive data under the paradigm of self-supervised learning,world models can generate unseen yet plausible driving environments,facilitating the enhancement in the prediction of road users'behaviors and the off-line training of driving strategies.In this paper,we synthesize the applications and future trends of FMs in autonomous driving.By utilizing the powerful capabilities of FMs,we strive to tackle the potential issues stemming from the long-tail distribution in autonomous driving,consequently advancing overall safety in this domain.
文摘20071303 Chen Kaisheng(Highway College of Chang’an University,Xi’an 710064); Peng Xiaoping Application of Seismic Wave Method in Detecting Grouting Effects of Daping Rock Pile(Journal of Engineering Geology,ISSN1004-9665,CN11-3249/ P,13(4),2005,p.530-532,3 illus.。
文摘I.Introduction1.1 Definition of an error An error happens when the interpreter’s delivery affects the communicative impact of the speaker’s message,including semantic inaccuracies and inaccuracies of presentation.Along with the development of simultaneous interpreting,there has been a number of professional interpreters and linguists present their definitions and points of views about the
