College English Translation Teaching Research Articles

College English Translation Teaching with the Goal of Improving English Application Ability

College English Translation Teaching with the Goal of Improving English Application Ability

A high performance computing technology powered multimedia fusion model in university English translation.

Various forms of materials, such as pictures, videos and texts, have rapidly brought the college English translation teaching model into the era of multimedia integration. This makes it difficult for English teachers to improve college English translation by using unique materials, so as to form their own unique teaching style. In view of this, a multimedia comprehensive English translation framework based on the combination of big data technology and multimedia teaching mode is proposed. At the same time, the idea of building the framework is introduced from two perspectives: the integration of big data technology and multimedia, and the integration of multimedia and English teaching process. Then, a recursive neural network algorithm based on ant colony optimization algorithm is proposed and tested. Finally, the simulation results show that the proposed method has significantly improved the accuracy and retention rate, indicating the effectiveness of the framework.

Retracted: Design and Research of College English Reading, Writing, and Translation Teaching Classroom Based on 5G Technology

Retracted: Design and Research of College English Reading, Writing, and Translation Teaching Classroom Based on 5G Technology

Application of hybrid teaching mode in translation teaching from the perspective of ecological concept teaching

Blended teaching is a model of teaching that combines traditional classroom teaching with online teaching. The integration of blended teaching is not only the integration of carrier means but also the breakthrough of teaching mode and the expansion of teaching time and space. Based on the theory of education ecology, this paper first analyzes the mixture of college English translation teaching modes and indicates that the college English translation teaching system from the dimension of the language training system, cultivation system, and communication dimensions cultural dimensions of three parts, and communicative dimension culture contains three platforms, four interaction, five links. Then, the hardware and software of the hybrid teaching ecosystem are designed to realize translation teaching. In the test to verify the system performance in this paper, it was found that the overall iteration value of the system presented a rising trend with the increasing number of tests, and in 6 tests, the maximum iteration value of the system in this paper was always 3-12 higher than the maximum iteration value of the teaching system in the traditional protocol data test group. Therefore, the hybrid teaching ecosystem designed in this paper has obvious advantages in reliability and practicality.

Retracted: Design and Exploration of College English Reading, Writing, and Translation Teaching Classroom Based on Machine Learning

Retracted: Design and Exploration of College English Reading, Writing, and Translation Teaching Classroom Based on Machine Learning

Application research on English Translation Teaching Quality based on Data mining

In the development of education informatization, in order to improve the quality of English translation teaching, universities and colleges, based on the accumulated experience of practical teaching, put forward the use of data mining technology to deal with massive data information, and dig out the main contents affecting the quality of college English translation teaching from a variety of influencing factors, in order to provide effective basis for the innovation and development of modern education. After understanding the basic concepts of data mining and decision tree algorithm, this paper deeply discusses the quality evaluation system of English translation teaching based on data mining according to the research status of English translation teaching in colleges and universities, and verifies and analyzes the system application combined with practical cases. The final results show that data mining plays an important role in the application research of English translation teaching quality in colleges and universities.

Integraciya tradicionnoj kul'tury Kitaya v metodiku obucheniya perevodu na anglijskij yazyk

This article briefly analyzes the TC (traditional culture) of China in college ETT (English translation teaching), then introduces the necessity of permeating the TC of China in college ETT, and finally puts forward an ETT mode integrating the TC of China, aiming at strengthening the export of China TC, cultivating students' patriotic feelings and improving their English language application ability.

Artificial Intelligence Technologies in College English Translation Teaching.

This paper explores the practical prospects for using artificial intelligence technologies in professional English-speaking translator education. At the online conference 'Translation Skills in Times of Artificial Intelligence' (DingTalk platform, January 2022), the teachers of higher education institutions in China prioritized the translator's competencies necessary for successful professional activity during the digital transformation of social and economic business relations. The educators also evaluated the demand for online services used in the education of English-Chinese interpreters. The survey results showed that the use of artificial intelligence technologies in educational practices could have a significant impact on the development of key competencies of future translators. Using a competency-based approach to interpreter training and considering the need to develop abilities, knowledge, and skills required for successful professional translation activity, the author developed the pedagogical concept of the online educational course 'Simultaneous and asynchronous translation in a digital environment.'

College English Translation Teaching in the Context of the Internet to Improve Students' English Application Ability

English teaching should pay attention to practicality. English translation ability is an essential ability for students in the process of English communication. Translation teaching should truly enable students to master the methods and skills of English translation. Teachers should strengthen the penetration of English translation theory and translation skills in the teaching process, so that students can understand the important methods and means of translation. Gradually attach importance to the teaching of college English translation, and constantly carry out reform on the basis of attention, so as to improve the students' comprehensive application ability. Only in this way, the talents trained by universities will increasingly tend to the talents required by the mainstream development of the world.

Research on College English Translation Teaching Based on Parallel Corpus

Research on College English Translation Teaching Based on Parallel Corpus

A Study on College English Translation Teaching Based on Production-Oriented Approach

A Study on College English Translation Teaching Based on Production-Oriented Approach

English-Chinese Corpus Collection and Translation Wisdom Algorithm Implementation Based on Ajax+JQuery

This paper firstly introduces the discussion of "representativeness" in the construction of translation corpus abroad. Jie Cao pointed out that under the circumstance that the current theoretical research is still very familiar, the construction of the English-Chinese translation bank should be based on this. From the point of view of "translating and breaking the c-test", it takes the construction of "the core of eucalyptus" as the breakthrough point. This paper discusses the functional design of the college student information management system using the jQuery framework and AJAX technology and using the multi-layer architecture. It constructs a student-centered teaching corpus and applies it to teaching practice. Taking the comparative translation teaching method as the guiding ideology, it discusses the specific measures to apply the translation corpus in the process of college English translation teaching.

Research on College English Translation Teaching Model from the Perspective of Context Theory

With the continuous development of modern society, the trend of global economic and cultural integration is becoming more and more obvious. In order to cultivate talents who can adapt to the development of globalization, the National Education Department has strengthened its attention to English teaching reform. English translation itself is an important part and core content of English learning. Relevant research on strengthening translation and other core abilities is also in full swing. When teaching English translation, we can appropriately use the theories related to context teaching as an auxiliary, inject new vitality and vitality into College English translation teaching, and let college English translation teaching embark on the road of specialization. This paper focuses on the College English translation teaching model from the perspective of context theory, hoping to provide some references and suggestions for relevant educators.

The Construction of University English Translation Teaching Model Based on Fuzzy Comprehensive Assessment

With the deepening of economic globalization, the communication between countries is getting closer and closer. The common topic of communication between people of different cultures and environments is English. Since the country has established English as a subject, the importance of English has become one of the main factors for the all-round development of students. In recent years, higher vocational education in China has once again developed towards high quality, all-round diversification, and innovation. According to the continuous reform and innovation and independent innovation, college English has been proved to be an important part of higher vocational education and an important measure to promote the development trend of higher vocational education all over the country. With the progress of science and technology and the development of economy, the level of education in China is still improving. People have put forward stronger teaching standards and regulations for English, a course with strong adaptability and practicality. Part of Chinese translation in college English shows its comprehensive ability and high-level thinking ability. In order to integrate this trend, this paper proposes the formulation and use of college English translation teaching model. The experiment proves that the accuracy of the traditional fuzzy evaluation method in the comment module design of college English translation teaching mode is low, only 82% at most. In order to solve this problem, BP optimization algorithm is introduced. The precision and reliability of BP optimization algorithm are improved. Because of the learning effect of the college English translation teaching mode based on the fuzzy evaluation BP optimization algorithm proposed in the certification paper, the certification is carried out according to the questionnaire and the final evaluation method. The students’ satisfaction and favoritism at the assessment level and the final results of their classmates have proved the proposed college English translation teaching model. The article has excellent learning effect.

Application of Convolutional Neural Network Based on Deep Learning in College English Translation Teaching Management

With the increased demand for English translators in recent years, more scholars and researchers have begun to focus on college English translation education. The demand for computers to perform automatic natural language translation is at an all-time high, presenting another potential for machine translation (MT) research. Although neural machine translation (NMT) technology has advanced significantly, it still has several flaws. The reply NN-based MT technology is not optimal in the field of long sentence translation, and there are situations such as missing translation and overtranslation. So this paper proposes college English translation based on a convolutional neural network (CNN). This paper proposes that CNNs have stronger feature extraction and information processing capabilities than other deep NNs. It successfully solves the situation of missing translation and overtranslation, lowering the quality of college English translation instruction. The experimental results of this research reveal that when the length of an English sentence grows longer, the translation accuracy based on the reply NN drops to 47.9%, while the translation accuracy based on the CNN is 89.7%. It can be seen that college English translation based on CNN can be integrated into English translation teaching as an innovation of traditional teaching methods, so as to create a learning environment for students and enhance learning effects. MT based on CNN has greatly improved students’ performance, which is conducive to improving the quality of college English translation teaching.

Design and Research of College English Reading, Writing, and Translation Teaching Classroom Based on 5G Technology

Traditional college English lectures, writing, and translation over wireless networks have several problems. As a consequence, research and development for fifth-generation (5G) technologies are already beginning. High data speeds, decreased latency, energy savings, low cost, increased system capability, and large-scale device connectivity are all characteristics of 5G, the fifth generation of mobile communication technology. The 5G network is a wireless network interaction approach for the digital cellular network that allows for massive volumes of data traffic and a large number of wireless connections. The newest 5G technologies must be incorporated into the curriculum to attain higher-order educational capacities. Educators must fully use network resources, especially 5G network interaction tools, to improve English lecture, writing, and translation, as the fast expansion of 5G network interaction methods provides a fresh viewpoint for English lecture, writing, and translation. In this paper, we design a 5G-enabled Genetic Algorithm- (GA-) based approach for college English lectures, writing, and translation. The proposed method can promote resource sharing, empower teacher-student connections, and improve students’ overall English writing performance by researching this novel kind of network. The proposed method is further improved by incorporating 5G network-dependent English writing and interaction tools. Experimental results reveal that the proposed method outperforms state-of-the-art methods.

Discussion on Teaching Content Based on the Analysis of College English Translation Teaching Requirements

Discussion on Teaching Content Based on the Analysis of College English Translation Teaching Requirements

Design and Exploration of College English Reading, Writing, and Translation Teaching Classroom Based on Machine Learning

The aims are to ameliorate the dull classroom atmosphere and unsatisfactory teacher-student interaction and cultivate students’ reading, writing, and translation (R-W-T) English proficiency level (EPL). Specifically, this paper designs an optimized polynomial kernel-based support vector machine (SVM) classification algorithm based on the machine learning (ML) theory. Firstly, this paper expounds on the correlation between ML and teaching classrooms to analyze the optimization direction in the application of ML in classroom teaching. Afterward, SVM and RF algorithms are selected for data normalization optimization, and their optimal hyperparameters are analyzed. Consequently, an experiment is designed to compare the classification accuracy of the algorithms before and after optimization, and the polynomial kernel-based SVM algorithm is proved to present the most remarkable improvement and accuracy after optimization, which is as high as 95.23% or 66.96% improvement. Therefore, the polynomial kernel-based SVM algorithm is chosen for the college English (R-W-T) classroom-oriented human pose recognition (HPR) system. Thus, English teachers can better grasp the students’ psychological state and classroom atmosphere and ameliorate unsatisfactory teacher-student interaction in students’ English (R-W-T). The proposal plays a positive role in cultivating college students’ strong (R-W-T) EPL, which is of great significance in improving the English classroom.

An Analysis of the Influence of Chinese Strategic Transfer on College English Translation Teaching

An Analysis of the Influence of Chinese Strategic Transfer on College English Translation Teaching

The Application Design of the Blended Teaching Mode of 'PAD Class+ Network Teaching Platform' in College English Translation Teaching

The Application Design of the Blended Teaching Mode of 'PAD Class+ Network Teaching Platform' in College English Translation Teaching