On the Limitary Subjectivity of the Translator——from the perspective of an inter-subjective system

Throughout the past years, the important role of translators has always been overlooked. The invisibility was even taken as one of the standards of a good translator. However, great change happens, especially after the"culture turn"in translation study and the role of the translators has been laid emphasis on. This kind of sharp change has led to two extreme thoughts on this issue: scholars choose either total invisibility or complete subjectivity. This paper puts forward an inter-subjective system, in which the subjectivity should be emphasized only with constraints. The other subjects in the inter-subjective system contribute to the restriction of the subjectivity of the translator during the translation process.By writing this paper, the author wishes to present a comprehensive and balanced way of understanding translators' subjectivity. Therefore, no matter analyzing the translation process or evaluating translation products, people will be more objective towards the role of translators.

A Survey of Engagement, Subjectivity and Inter-subjectivity

Engagement and subjectivity focus on the non-propositional meaning of discourse, and inter-subjectivity is concerned with the relationship between a writer/speaker and his potential readers/addressees. This article first introduces the definitions of engagement, subjectivity and inter-subjectivity, and then attempts to discuss the relationships among them. The analysis shows that subjectivity and inter-subjectivity are closely related and that the process of engagement is an interaction of speaking subject and his/her potential readers and social behavior of inter-subjectivity and social practice as well.

Identity Construction Discourse in the Perspective ofInter-Subjectivity-The Case of Address Forms

In daily social communication,people mainly construct their own and others'identities through discourse,and the most representative and widely used of identity-constructing discourse is address forms.In this paper,we focus on the identity-constructing function of address formsand the cognitive collaboration of their subordinate categories at the conceptual level,where different forms of address formshave obvious selection preferences in expressing specific discourse functions.Addressing has a discourse function other than the referential function,and inter-subjectivityis its underlying motivation.

Improve Chinese International Discourse Power by Telling Chinese Stories in Chinese Histories

At present,the road to the rise of China faced more severe challenges of public opinion,“collapse”and“threat”shaping a negative national image of China,reflects China and other countries on the diplomatic strategy at the level of suspicion and struggling of the voice of international public opinion.The fundamental way to solve this dilemma is to eliminate the misunderstanding on the fields of culture and knowledge.Study of overseas Chinese helps us understand the outside view of China and mechanism of China’s image and its value system and reduce strategic miscalculation on the external communication policy,to promote the construction of China’s voice and provides a solid foundation for external communications.To sum up,telling Chinese stories through Chinese history,from up the angle of scientific conception of the world to understand and grasp the construction of China’s international voice,and gradually form up a China-specific discourse that reflects the contemporary world system,breaking the traditional forms of discourse,to form up a problem-centered research domain,terminal value is based on the world and its development in contemporary China.The enhancements of international discourse in contemporary China are several of the most important aspects of the right.

Volumetric magnetic resonance imaging classification for Alzheimer＇s disease based on kernel density estimation of local features

Background The classification of Alzheimer＇s disease （AD） from magnetic resonance imaging （MRI） has been challenged by lack of effective and reliable biomarkers due to inter-subject variability. This article presents a classification method for AD based on kernel density estimation （KDE） of local features. Methods First, a large number of local features were extracted from stable image blobs to represent various anatomical patterns for potential effective biomarkers. Based on distinctive descriptors and locations, the local features were robustly clustered to identify correspondences of the same underlying patterns. Then, the KDE was used to estimate distribution parameters of the correspondences by weighting contributions according to their distances. Thus, biomarkers could be reliably quantified by reducing the effects of further away correspondences which were more likely noises from inter-subject variability. Finally, the Bayes classifier was applied on the distribution parameters for the classification of AD. Results Experiments were performed on different divisions of a publicly available database to investigate the accuracy and the effects of age and AD severity. Our method achieved an equal error classification rate of 0.85 for subject aged 60-80 years exhibiting mild AD and outperformed a recent local feature-based work regardless of both effects. Conclusions We proposed a volumetric brain MRI classification method for neurodegenerative disease based on statistics of local features using KDE. The method may be potentially useful for the computer-aided diagnosis in clinical settings.