Developing Culturally Effective Strategies for Chinese to English Geotourism Translation by Corpus-Based Interdisciplinary Translation Analysis

Li, Qiang; Wu, Ruixue; Ng, Young

doi:10.1007/s12371-021-00616-1

Cited by 18 publications

(9 citation statements)

References 12 publications

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“…rough Pan's research, using data from the Translation Corpus, a corpus of learners developed for the study of lexical cohesion, through case studies, the results showed the complexity of a learner's language and its relationship to various factors such as learner, text, and task [1]. rough Li's research, some advantages of Hu's ecological translation theory were explained, the translation was used to minimize translation problems, and corpus linguistics method was used, which excels in quantitative and qualitative analysis [2]. Zhao et al aimed to explore how narrative space can be transferred from one language to another.…”

Section: Related Workmentioning

confidence: 99%

Application of Discriminative Training Algorithm Based on the Improved Gaussian Mixture Model in English Translation Evaluation

Wang

2022

International Transactions on Electrical Energy Systems

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English translation, also a kind of language conversion, refers to the activities of expressing each other in English to express another language or another language to express English. This paper aimed to evaluate and research methods of English translation based on the improved Gaussian mixture model (GMM). The paper proposed a simple evaluation and analysis of English translation using a discriminative training algorithm. In the experimental part, on the one hand, taking students, teachers, and translators as case study objects, through a questionnaire survey, it can be known that the number of students who scored more than 80 points in the English translation test is increasing every year, from 11.30% in the first year to 21.13% in the fourth year, an increase of nearly 10%. On the other hand, it can be seen from the speech translation experiment that the correct translation rate was 46.18% by using intelligent technology to distinguish translation. The experimental results showed that the discriminative training algorithm under the improved GMM algorithm is effective in the research of English translation evaluation.

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Section: Related Workmentioning

confidence: 99%

Application of Discriminative Training Algorithm Based on the Improved Gaussian Mixture Model in English Translation Evaluation

Wang

2022

International Transactions on Electrical Energy Systems

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“…Many studies conducted in this field including ; An, J., & Sun, J. (2022), Curran, et al (2022), Francisco-Velilla, et al (2022, Ginting (2022), Hrytsanchuk (2022), Jameel (2022), Li, et al (2022), Saha and Mandal (2022), Giroux, et al (2021), Anber and Jameel (2020), Iglikova and Usataya (2019), and Leni and Pattiwael (2019), showed that using the appropriate translation strategy is the key of successful translation and delivering précis and accurate information in a scientific style. This study tries to enrich the Iraqi literature concerning the translation strategies that the EFL students use in translation and the quality of the translation from English into Arabic or vice versa.…”

Section: Statement Of the Problemmentioning

confidence: 99%

Investigating the Translation Strategies that English Language Students' Utilized in Translation Diverse Topics

Habeeb,

Jameel

2023

Hum

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Objectives: By analyzing students' translations, instructors teaching translation can acquire insight into the most common concerns, challenges, and strategies regarding various subjects. This study aims to uncover the methods and techniques students use to translate journalistic, literary, and political materials and the differences in translation strategies used by male and female students. Methods: Twenty-seven male and female 4th-grade students from the Department of English, Colleges of Basic Education, University of Kirkuk participated. The research will be carried out during the first semester of the academic year 2022-2023. A test was used to collect the data. The test consisted of three questions, all of which were texts: journalistic, literary, and political. Results: The results reveal that students adopt low-accuracy translation procedures. Students use the trans-position method more than other translation procedures when translating a journalistic text. Regarding the literary text, the results show that students preferred the adaptation technique above the different translation strategies. Finally, the Political text was translated using a borrowing and adaption technique. Furthermore, the findings demonstrated that female EFL students used more accurate and precise translation procedures than male students. Conclusion: Translation strategies must be thoroughly taught to EFL students. They must be knowledgeable about translation theories and strategies and the types of texts they may be exposed to. They must also be taught the purpose of employing a specific translation technique. It is essential to note that the borrowing strategy should be used with caution, as it can lead to linguistic interference and can sometimes be confusing for native speakers of the target language.

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“…Some scholars also believe that the key to mountain village tourism is to analyze the professional villages, analyze the areas where the professional villages gather, and find out the differences [ 6 ]. Some scholars believe that the personalization of mountain village tourism is obvious, and the reasons for its agglomeration should be analyzed [ 7 ]. Some scholars believe that applying the theory of system dynamics to mountain village tourism can find out the characteristics of mountain village tourism through the analysis of the driving factors of tourism.…”

Section: Literature Reviewmentioning

confidence: 99%

An Optimization Analysis Model of Tourism Specialized Villages Based on Neural Network and System Dynamics

Wang

Sui-ying

et al. 2022

Computational Intelligence and Neuroscience

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With the rapid development of tourism, professional tourism villages emerge one after another, which has become the focus of the tourism industry. At present, there are some problems in tourism professional villages, such as imperfect management and inaccurate prediction of future development, which affect the rational allocation of tourism resources. In order to improve the distribution of tourism resources and better predict the development of tourism professional villages, it is necessary to make comprehensive judgment and analysis, especially the analysis of indicators such as the prediction and development judgment of tourism professional villages. This paper discusses the optimization analysis of the agglomeration of tourism specialized villages by backpropagation (BP) neural network and system dynamics model, analyzes the system structure of the agglomeration factors of tourism specialized villages, and promotes the intelligent integration of the agglomeration factors. The development of clusters of professional villages promotes data integration among resources, economy, society, and other elements and presents the characteristics of big data. As the level of concentration of professional villages increases, the complexity of the associated factors also increases, which increases the difficulty and effectiveness of tourism analysis. In view of this situation, taking mountain tourism as the research object, this paper proposes an improved system dynamics model based on BP, extracts features from cross factor (resource, economic, and social) data, and optimizes the relationship between professional village agglomeration and various factors. The MATLAB simulation results show that based on the improved system dynamics analysis, the simplification rate of (resources, economy, and society) data can be controlled at more than 24%, the degree of agglomeration is more than 95%, and the construction time of the relationship map of related factors is less than 40 s. Therefore, the analysis method proposed in this paper is suitable for the calculation of the agglomeration of tourism professional villages in the mountain area and can meet the needs of the development of tourism professional villages in the mountain area.

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Developing Culturally Effective Strategies for Chinese to English Geotourism Translation by Corpus-Based Interdisciplinary Translation Analysis

Cited by 18 publications

References 12 publications

Application of Discriminative Training Algorithm Based on the Improved Gaussian Mixture Model in English Translation Evaluation

Application of Discriminative Training Algorithm Based on the Improved Gaussian Mixture Model in English Translation Evaluation

Investigating the Translation Strategies that English Language Students' Utilized in Translation Diverse Topics

An Optimization Analysis Model of Tourism Specialized Villages Based on Neural Network and System Dynamics

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