Translation Teaching In Universities Research Articles

Research on the Application of Information Technology in English Translation Teaching in Colleges and Universities

Research on the Application of Information Technology in English Translation Teaching in Colleges and Universities

College Translation Teaching in the Era of Artificial Intelligence: Challenges and Solutions

AI-powered translation technology has greatly improved machine translation quality, posing three major challenges to college translation teaching: students’ perceived anxiety towards translation learning, their dependency on MT technology to complete translation tasks, and traditional teaching assessment methods being rendered ineffective. In response to these challenges, this article proposes that translation instructors pass on to students knowledge concerning MT to reduce their anxiety and turn stress into motivation and help them develop scientifically sound strategies for the use of MT technology to further reduce their anxiety while mitigating their excessive dependency on it. Furthermore, classroom teaching should be reformed by introducing “flipped learning” to ensure that these strategies are implemented under the supervision and guidance of the instructors. The teaching assessment should also be changed to regulate students’ use of the strategies outside the classroom, while at the same time eliminating the adverse effects brought about by MT technology on teaching assessment.

Construction of Evaluation System for English Translation Teaching in Colleges and Universities under Cross-cultural Perspective

Abstract The construction of the evaluation system of English translation teaching in colleges and universities under the cross-cultural perspective to improve the quality of translation education. The focus is on integrating the LMBP neural network algorithm and quantitative judgment indexes to provide an adequate evaluation model for English translation teaching. The study adopts the neural network algorithm based on LMBP, combined with the quantitative processing methods of “AHP+DEA” and “Entropy Assignment Method+Euclidean Distance Method”, to systematically construct and empirically analyze the evaluation indexes of teaching. It is found that teaching construction, application and effect are the core indicators of evaluation. Regarding teaching construction, classroom content integrity (correlation coefficient 0.428) and learning resources integrity (correlation coefficient 0.439) are the key factors. Teaching application analysis showed that hybrid teaching positively correlated with student achievement (r=0.569). Conducting effectiveness analysis showed that student discussion and in-class performance were significantly and positively correlated with teaching evaluation (p<0.005). These results prove the effectiveness and usefulness of the constructed evaluation system.

Exploration and Research on Chinese Culture in University English Translation Teaching in the Background of Internet+

Abstract Under the background of Internet+, for the problems of high comprehension difficulty and inaccurate translation in university English translation teaching, this paper proposes the skeleton knowledge translation model to assist university English translation teaching that integrates Chinese culture. Starting from the objectives of university English translation teaching, Chinese culture is explored in university English translation materials to complete the design of university English translation teaching that integrates Chinese culture. Propose the application of Internet technology in the above teaching design, utilize the IBM word alignment model and TF-IDF similarity to preprocess the university English translation textbooks, and on the basis of preprocessing, estimate the probability and decode the generated phrase pairs, and then complete the construction of the English translation model based on skeleton knowledge. The English translation model’s performance analysis is carried out using skeleton knowledge after determining the data set and evaluation criteria. The results show that for the whole 400 000 batch training, the training time of the English translation model based on skeleton knowledge is about one-fifth less than that of the unsupervised neural machine translation model, indicating that with the increase of the number of rounds, the performance of the English translation model based on skeleton knowledge is also better. This study serves as a guide for exploring and researching Chinese culture in university English translation teaching and promotes the development of university English translation teaching in colleges and universities.

Research on the Construction of Translation Path of College English Teaching Based on Deep Learning Strategy

Abstract Based on deep learning, this study explores a teaching model to promote college students’ English translation ability with the support of information technology. It mainly adopts the neural machine translation algorithm to make the training samples constitute data nodes with semantic feature-carrying properties through the profound training of semantic feature quantity. It then gets the best English translation utterance that recognizes the translated information. Using a combination of quantitative and qualitative methods, we explored the impact of deep learning strategies on English translation teaching in colleges and universities, as well as the evaluation of practical effects. The results of the study show that under the deep learning teaching mode, the English translation scores of college students are improved by 9.085 points, which is a significant difference (P=0.018) compared to the traditional teaching mode, indicating the excellent performance of the strategy in English translation teaching.

The Construction of English Translation Teaching System in Colleges and Universities Based on Cluster Search Algorithm

Abstract In the actual teaching of English translation, problems such as the disconnection of theory and practice and the insufficient perfection of the teaching system have emerged, which greatly affect the development of practical activities of English translation teaching in colleges and universities. This paper establishes the English translation teaching system based on the CIPP evaluation model, and to ensure the objectivity of the weights of evaluation indexes, the weights of the evaluation indexes are solved by cluster search algorithm, and the process of solving the index weights is optimized by using genetic algorithm. Taking ten universities in the university city of S province as the object of investigation, the corresponding questionnaires are designed to obtain the evaluation data, and the quality of English translation teaching is graded comprehensively evaluated, and analyzed through the fuzzy comprehensive evaluation model. The results show that: in the process of constructing the English translation teaching system in colleges and universities, the weight value of the teaching objectives reaches 0.2747, and the weight value of the implementation of the teaching links in the teaching process is the highest at 0.0493, and the use of the fuzzy comprehensive evaluation model can carry out a comprehensive evaluation of the quality of English translation teaching. The English translation teaching system of colleges and universities constructed based on CIPP evaluation model can help colleges and universities to find out the problems of English translation teaching and carry out innovative reforms in a targeted way, to improve the practical power of English translation teaching.

Innovative Research on the Quality Evaluation Method of English Translation Teaching in Colleges and Universities Based on Neural Network Modeling

Abstract This paper presents BP neural network as an evaluation tool for English translation instruction in colleges and universities. It does this by analyzing and combing the structure of BP neural networks, combining the five first-level indices with the assessment of indexes data preprocessing method, and building an evaluation system based on BP neural networks. We get sample data for the teaching quality assessment indexes based on the example teaching, evaluate it, and confirm that the BP neural network is feasible to use in the evaluation model. Two randomly selected college English language teaching classrooms are used as an example for the class, and the teaching quality rating method is utilized and analyzed. The teaching quality evaluation system’s findings are used to investigate the influencing factors that affect the quality of English translation teaching in higher education institutions. The teaching effect is also discussed about the impact of course time and content arrangements. According to the analysis, the English translation teaching evaluation index system built around the BP neural network model has a substantial amount of credibility because Kendall’s harmony coefficient W = 0.756 χ 2 = 7.687 χ 2 (p − 0.025) = 7.249 indicates that the consistency credibility of the instructional quality evaluation system goes to the test at a significant level of P = 0.025 and the opinions are very uniform.

Research on the Teaching Strategy of English Translation in Colleges and Universities Under the Background of New Liberal Arts

The construction of New Liberal Arts has put forward new requirements for translation teaching. There are many problems in translation teaching in colleges and universities, which affects the improvement of students' translation ability. It is disadvantageous to the students’ learning and development in the future. Therefore, it is necessary to cultivate students’ cross-cultural communication awareness, and solve problems with proper translation teaching strategies, and improve students’ translation ability.

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.

Research on the Training of Japanese Translation Talents in Colleges and Universities under the Background of New Liberal Arts

The introduction of the new liberal arts is an important change in the traditional humanities and social sciences. Therefore, it is one of the important development goals of Japanese translation teaching in Colleges and universities at this stage to effectively utilize the national strategy of the new liberal arts construction and respond to the innovative challenges of the new liberal arts construction. Under the background of the new liberal arts, the training of Japanese translation talents in Colleges and universities needs to accelerate the innovation of training methods within the community. This paper interprets the background and connotation of the new liberal arts, and analyzes the effective countermeasures for the cultivation of Japanese translation talents in Colleges and Universities Based on the main problems existing in the current Japanese translation teaching in Colleges and universities.

Research on the path of red culture in the implementation of English translation teaching in universities

Research on the path of red culture in the implementation of English translation teaching in universities

Analysis of the Needs of English-Chinese Translation Courses and Research on Teaching Strategies under the Background of Wireless Communication and Big Data

The development of wireless communication technology and the widespread application of big data has accelerated the degree of globalization. Both English and Chinese are widely used languages internationally, and the cultural exchanges between the two occupy a very important proportion in the world. The society’s demand for English-Chinese translation talents has increased, and colleges and universities have also taken measures to improve students’ English-Chinese translation ability. This article analyzes the English-Chinese translation course under the environment of wireless communication and big data, discusses the influence of the development of wireless communication and big data on the teaching of English-Chinese translation, the problems existing in the teaching of English-Chinese translation in colleges and universities, and gives solutions to the existing problems. Finally, using the method of online survey to investigate the current situation of English-Chinese translation teaching in colleges and universities in the province, 245 valid questionnaires were recovered, only 87 of which indicated that their majors offered separate English translation courses, accounting for 35.51% of the total; 158 indicated their majors. There are no English translation courses, accounting for 64.49% of the total. Such a ratio does not match the overall demand for cultural exchanges in the context of the rapid development of wireless technology and big data. Therefore, the convenience brought by new technologies should be actively used to promote the development of the English-Chinese translation teaching system in colleges and universities.

Challenges and Countermeasures of Translation Teaching in the Era of Artificial Intelligence

The development of artificial intelligence has greatly improved the quality of machine translation (MT), bringing great changes to translation business and translation teaching in universities. At present, teachers and students of translation study do not have enough knowledge about the latest development of MT, and rarely integrate MT into translation practice. Outdated teaching methods and poor use of translation technologies fail to cultivate talents needed by the translation industry. The teaching of translation should make corresponding changes according to changes of practice in language service by updating teaching methods, incorporating MT and related translation tools and technologies into teaching, establishing a diversified translation evaluation system so as to further improve students’ post-translation editing ability and language competence.

An Analysis of Ways to Improve Students’ English Application Ability in College English Translation Teaching

The English teaching model in today’s college should adapt to the trend of the times and attach importance to college English translation teaching to improve students’ English application ability, allow students to participate more fully in the classroom, and accelerate the training process of English application ability. Based on the analysis and research on the problems existing in English translation teaching in colleges and universities, this article explores the implementation ways to improve college students’ English application ability.

Research on the Practice of Intercultural Education in English Translation Teaching in Universities

Research on the Practice of Intercultural Education in English Translation Teaching in Universities

Research on Application of Computer Aided Translation to Translation Teaching

This research aims to do contribution for the application of computer-aided translation technology in the traditional translation teaching in universities. Compared with the arduous manual translation, computer-aided translation can increase translation efficiency. The application of computer-aided translation to translation teaching can improve the teaching quality and meet the massive demand of translation job market. Based on the development of CAT technology and its experiment in modern translation industry, the necessity of applying CAT technology in translation teaching is convincingly proven, which is followed by the elaboration on the design of CAT teaching modules and the construction of CAT teaching system in this research. This research investigated the application of CAT to translation teaching, including designing teaching mode, using software and hardware, managing teaching files, storing teaching resources, establishing the translation corpus and so on, which have great significances to translation teaching and translation practice. Finally, a conclusion is made that only when translation education combining with CAT Technology, can translation education meet the demand of increasing translation market, and only by applying CAT technology in translation teaching in universities, can the translation education catch up with the development of the translation industry in this information age.

Article retracted.

This article has been retracted by the authors.

“Put yourself in their shoes”: a qualitative exploration of perceptions of effective translation teaching in universities

This paper investigates perceptions of effective translation teaching in universities through a qualitative exploration. It builds upon the findings of previous survey research and uses focus groups and one-on-one interviews with Australian university translation teachers and students to investigate translation teacher qualities in more depth. The results show the key areas which are perceived to help create an effective translation teacher, which include: profound knowledge of languages and translation, mastery of translation skills and industry experience, engaging and communicative teaching methods, a humorous and inspiring personality, encouraging students in giving constructive feedback, and the ability to understand and help students develop independent learning skills. This study, particularly as it relates to classroom management and feedback given to students, can be applied to translation teaching and then extrapolated to teaching in general. In this way can all teachers find their own ways to motivate student thinking and achieve quality teaching, facilitating independent learning and making teaching outcomes more effective.

基于语料库的大学翻译教学模式的实证研究

基于语料库的大学翻译教学模式的实证研究

The Construction and Application of the WeChat-based Translation Teaching Model

Since its introduction in the 2011, WeChat has become an indispensable communication tool. At present, this application provides opportunities to expand foreign language teaching and helps develop mobile learning. To improve the translating ability of students, this thesis maximizes the advantages of WeChat and presents a completely new teaching model called “WeChat-based Translation Teaching Model.” By adopting constructivism theory, a one-year teaching reform experiment was conducted (from Feb. 2015 to Jan 2016) on the translation teaching model based on WeChat. Results show that this teaching model can increase the number of students who read and acquire knowledge, promote communication and interaction between teachers and students, as well as cultivate the autonomous learning ability of students. By demonstrating the positive significance of the application of WeChat in this context, this research can serve as a useful reference material for translation teaching in colleges and universities.