Sci-tech Simultaneous Interpreter Education Based on Translation Universals Research

The rapid evolution of scientific and technological advancements and industrial changes has profoundly interconnected countries and regions in the digital information era,creating a globalized environment where effective communication is paramount.Consequently,the demand for proficient interpreting skills within the scientific and technology sectors has surged,making effective language communication increasingly crucial.This paper explores the potential impact of translation universals on enhancing sci-tech simultaneous interpreter education.By examining the selection of teaching materials,methods,and activities through the lens of translation universals,this study aims to improve the quality of teaching content,innovate instructional approaches,and ultimately,enhance the effectiveness of interpreter education.The findings of this research are expected to provide valuable insights for curriculum development and pedagogical strategies in interpreter education.

The Ethical Choice of Business English Interpreters under Chesterman’s Model of Translation Ethics

This paper explores the ethical challenges encountered by business English interpreters using Chesterman’s Model of Translation Ethics,set against the context of economic globalization and the“Belt and Road”initiative.With the increasing demand for interpreters,the paper delves into the ongoing discussion about the role of AI in translation and its limitations,especially concerning cultural subtleties and ethical issues.It highlights the importance of human interpreters’cross-cultural understanding and the ethical principles that inform their work,such as the Ethics of Representation,Service,Communication,Norm-based Ethics,and Commitment.Moreover,the paper examines how these ethical models are applied in practical business situations,including business banquets,business negotiations,business talks and business visits,etc.,and investigates the cultural misunderstandings that may occur during these interactions.The study concludes that although AI provides efficiency and cost savings,human interpreters are essential for their capacity to handle the intricacies of cross-cultural communication with cultural awareness and ethical discernment.

Classification and detection of dental images using meta-learning

Meta-learning of dental X-rays is a machine learning technique that can be used to train models to perform new tasks quickly and with minimal input.Instead of just memorizing a task,this is accomplished through teaching a model how to learn.Algorithms for meta-learning are typically trained on a collection of training problems,each of which has a limited number of labelled instances.Multiple Xray classification tasks,including the detection of pneumonia,coronavirus disease 2019,and other disorders,have demonstrated the effectiveness of meta-learning.Meta-learning has the benefit of allowing models to be trained on dental X-ray datasets that are too few for more conventional machine learning methods.Due to the high cost and lengthy collection process associated with dental imaging datasets,this is significant for dental X-ray classification jobs.The ability to train models that are more resistant to fresh input is another benefit of meta-learning.

Unsupervised multi-modal image translation based on the squeeze-and-excitation mechanism and feature attention module

The unsupervised multi-modal image translation is an emerging domain of computer vision whose goal is to transform an image from the source domain into many diverse styles in the target domain.However,the multi-generator mechanism is employed among the advanced approaches available to model different domain mappings,which results in inefficient training of neural networks and pattern collapse,leading to inefficient generation of image diversity.To address this issue,this paper introduces a multi-modal unsupervised image translation framework that uses a generator to perform multi-modal image translation.Specifically,firstly,the domain code is introduced in this paper to explicitly control the different generation tasks.Secondly,this paper brings in the squeeze-and-excitation(SE)mechanism and feature attention(FA)module.Finally,the model integrates multiple optimization objectives to ensure efficient multi-modal translation.This paper performs qualitative and quantitative experiments on multiple non-paired benchmark image translation datasets while demonstrating the benefits of the proposed method over existing technologies.Overall,experimental results have shown that the proposed method is versatile and scalable.

Problems and Countermeasures in the Training of Master of Translation and Interpreting Talents in the Context of Technological Empowerment

This paper aims to explore the problems and countermeasures in the training of Master of Translation and Interpreting(MTI)talents in the context of technological empowerment.Through methods such as questionnaires and literature review,the study analyzes the problems in the training of MTI talents under technological empowerment and,by examining the feasibility and applicability of technologies,proposes countermeasures to these problems.The research finds that there are still problems in four areas:training concept,teaching content,research in the current training of MTI talents,and mutual empowerment of technology and education.Four countermeasures are suggested to address these problems,including utilizing technology to promote personalized training and optimize teaching content.This study provides valuable references for future educators to leverage technology in the training of MTI talents.

On the loss of cultural images in translation

In cultural translation the loss of cultural images often occurs. In most cases translators do so in order to make the target text understood more easily by the readers of the target language. But the result is worse quite often, because it usually affects correct transmission of the source text as a whole, what＇s even worse, it will affect the correct grasp of the artistic conception and figures of the source text. And in other cases it is impossible to make source cultural images reappear in the target text. This paper provides some sound examples and reviews of the above.

Image to Image Translation Based on Differential Image Pix2Pix Model

In recent years,Pix2Pix,a model within the domain of GANs,has found widespread application in the field of image-to-image translation.However,traditional Pix2Pix models suffer from significant drawbacks in image generation,such as the loss of important information features during the encoding and decoding processes,as well as a lack of constraints during the training process.To address these issues and improve the quality of Pix2Pixgenerated images,this paper introduces two key enhancements.Firstly,to reduce information loss during encoding and decoding,we utilize the U-Net++network as the generator for the Pix2Pix model,incorporating denser skip-connection to minimize information loss.Secondly,to enhance constraints during image generation,we introduce a specialized discriminator designed to distinguish differential images,further enhancing the quality of the generated images.We conducted experiments on the facades dataset and the sketch portrait dataset from the Chinese University of Hong Kong to validate our proposed model.The experimental results demonstrate that our improved Pix2Pix model significantly enhances image quality and outperforms other models in the selected metrics.Notably,the Pix2Pix model incorporating the differential image discriminator exhibits the most substantial improvements across all metrics.An analysis of the experimental results reveals that the use of the U-Net++generator effectively reduces information feature loss,while the Pix2Pix model incorporating the differential image discriminator enhances the supervision of the generator during training.Both of these enhancements collectively improve the quality of Pix2Pix-generated images.

Unified deep learning model for predicting fundus fluorescein angiography image from fundus structure image

The prediction of fundus fluorescein angiography(FFA)images from fundus structural images is a cutting-edge research topic in ophthalmological image processing.Prediction comprises estimating FFA from fundus camera imaging,single-phase FFA from scanning laser ophthalmoscopy(SLO),and three-phase FFA also from SLO.Although many deep learning models are available,a single model can only perform one or two of these prediction tasks.To accomplish three prediction tasks using a unified method,we propose a unified deep learning model for predicting FFA images from fundus structure images using a supervised generative adversarial network.The three prediction tasks are processed as follows:data preparation,network training under FFA supervision,and FFA image prediction from fundus structure images on a test set.By comparing the FFA images predicted by our model,pix2pix,and CycleGAN,we demonstrate the remarkable progress achieved by our proposal.The high performance of our model is validated in terms of the peak signal-to-noise ratio,structural similarity index,and mean squared error.

An Analysis of Metaphor Translation of Birds as Images in Chinese Traditional Poems and Ci

In Chinese traditional poems and ci, animal images provide an important platform for expressing emotions, and birds are particularly beloved by almost all authors. This essay chooses two classical poems and one ci which use birds as images as well as their translation version of Xu Yuanchong. As for conclusion, this essay believes that there exists fixed translation methods in translating fixed bird images though some kind of birds in some poems or ci should be translated based on specific situation, such as authors' feelings and social backgrounds.

High-visibility ghost imaging with phase-controlled discrete classical light sources

We take phase modulation to create discrete phase-controlled sources and realize the super-bunching effect by a phasecorrelated method. From theoretical and numerical simulations, we find the space translation invariance of the bunching effect is a key point for the ghost imaging realization. Experimentally, we create the orderly phase-correlated discrete sources which can realize high-visibility second-order ghost imaging than the result with chaotic sources. Moreover, some factors affecting the visibility of ghost image are discussed in detail.

A Study of Images Translation in Ancient Chinese Poems

The images play an important role in literature.In ancient China,poets always use images to express their feelings.This paper takes one poem for example to analyze how to translate images.

A Descriptive Translation Study of Chinese Translation of French Musical Roméo et Juliette

This paper presents a Descriptive Translation Study(DTS)analysis of the Chinese translation of the French musical adaptation of Romeo and Juliet,titled Roméo et Juliette:de la Haineàl’Amour.Romeo and Juliet,a timeless play by Shakespeare,has captivated audiences since its premiere in 1597 and has been adapted into various forms,including stage productions,films,musicals,and operas.The focus of this study is to analyze the Chinese translation of the French musical adaptation from a DTS perspective.DTS is an approach that aims to understand the translation process and its reception in the target culture.By examining language choices,cultural references,and adaptation strategies,this study seeks to shed light on how the Chinese translation of the French musical functions within the target culture and influences the reception and interpretation of the source text.This analysis is expected to gain insights into the challenges and strategies employed in translating a musical adaptation of Romeo and Juliet into Chinese.The findings of this study will contribute to the field of translation studies and provide a deeper understanding of the complexities involved in the translation of musical works.

A Survey on Foreign Tourists’English Translation of Guangdong Tourism Images

Metaphor,constituting culture as well as inheriting one,is a way that human beings perceive the world.The study of cognitive metaphor theory in translation illustrates the process how the people construct psychological images from one culture to another,from one language to another.A survey on Chinese to English translation has been conducted among foreigners to see their intuitive understandings of some Guangdong tourism images.The results found out three different familiarity levels of these tourism images and the English translations from the viewpoint of the foreigners.Translation can be done without understanding the actual meanings,and understanding can occur without being able to translate.

Cultural Transference of Plant and Animal Images in Shijing Translation

As one of the Confucian classics, Shijing （i~） occupies a pivotal position in the development of Chinese culture. This paper makes a comparative study on the English translation of plant and animal images in Shijing, trying to reveal the cultural connotations in them and to suggest some translation strategies for the correct transference of cultural implications in plant and animal images in the poems of this ancient book.

The Understanding and Translation of Cultural Images from the Perspective of Context

Cultural images,cultural signs from the related cultural environments are context-independent.Meaning generation of source cultural images results from combined influences of subjective interpretations and objective referential parameters.The translator's accurate assessment of the relevance between the target and source contexts concerning source cultural images decides their specific translation strategy and means for achieving fidelity of translation.

On Translation of Images in English Poems——in Virtue of the Dynamic Equivalence Theory

Image is not only an essential part,but also a major means to convey the implications in English poems.It is a literal and concrete representation of a sensory experience of an object.The rendering of images in English poems into Chinese can be guided by the dynamic equivalent translation theory put forward by Dr.Eugene A Nida.The theory emphasizes the roughly equivalent response of the target language receptors to the TL text to that of the source language receptors to the SL text.To achieve a Dynamic Equivalence,methods like Direct Translation,Addition,and Substitution can be employed in the translation of images in English poems.

Translation of Images in Seven-character Quatrains Based on the “Aesthetic Level of Translation”

Image is a term that mainly embodies in the composition of classical Chinese poetry(CCP). Effective translation of images is crucial to the grasp of original meanings in a poem. As aesthetic beauty is the primary concern in poetry,the conveyance of beauty in image has a direct impact in translation. To analyze translation strategies of imagery beauty,the theory of"translation levels"by Xu Jun is adopted as a criterion in comparing variant English versions of CCP in the aesthetic level. Images are selected from Seven-character quatrains typified for abundant sources of images,and features of images are put forward at the aesthetic level. Through the analysis,images are rendered by recreation of the sensuous and emotional beauty.

What can poetry translation focus on-Sense, image or spirit？

＂Qi＂ （spirit） is originally an ancient Chinese philosophical term regarded as the fundamental material to constitute the universe. Later, it＇s used as a term in literary criticism referring to the authors＇ talent, qualities, and their work styles. Poetry, as a language form concentrating thoughts and feelings, is the best form reflecting the various changes of＂Qi＂ （spirit）. ＂Qi＂ （spirit） combines the style, imagery and charm of a poem in a union, translation of the poem should be close to such a combination. Translation of＂Qi＂ （spirit） is a pursuit of translating poetry which is based on translation of sense and image, but it may focus more on the wording technique with a wide insight on the original poem including the meaning and the tone of the poem and the author＇s thoughts and feelings, focusing on an overall effect of appreciation.

What are the Main Differences between Interpreting and Translation and Why is Interpreting not Just ‘Spoken Translation'?

With the development of the world economy and international cooperation,the work as interpreter has become more and more important.Interpreters are employed in many places,such as courts,social welfare centres and other public institution.However,there are many differences between interpreting and translation and interpreting is not just‘spoken translation.Some real public service interpreting scenarios are used to contrast the difference between interpreting and translation and the character istics of interpreting,Which can make the interpreters,teachers and students,who are teach and study interpreting,to appreciate interpreting from a new perspective.

跨学科口笔译研究的百科全书——Researching Translation and Interpreting介评

劳特里奇出版社2016年推出的Researching Translation and Interpreting一书以综合开阔的研究视野和跨学科融合的研究范式,广泛吸收与借鉴了社会学、文化学、人类学、语言学、认知科学、心理学、历史学、教育学等多个相关学科的研究成果,全面建构起口笔译研究的路线图和方法论,为读者提供了比以往论著更全更新的研究视角和方法指南,堪称跨学科口笔译研究的百科全书。该书对丰富和完善口笔译研究的理论与方法,促进和推动翻译学的学科发展具有重要的参考价值和指导意义。本文拟对这一著作进行介绍,并在此基础上分析其学术特色及贡献,指出存在的局限和不足,旨在为国内口笔译研究提供借鉴和启示。