[Retracted] Analysis of the Needs of English‐Chinese Translation Courses and Research on Teaching Strategies under the Background of Wireless Communication and Big Data

Gao, Bei

doi:10.1155/2021/3424658

Cited by 7 publications

(5 citation statements)

References 9 publications

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“…The information came from the large parallel English and Chinese UM-Corpus news dataset [28]. There are two million English-Chinese text corpora available, spanning eight text domains and covering a wide range of topics and text genres such theses, spoken English, education, laws, news, science, microblogs, and subtitles.…”

Section: A Data Acquisitionmentioning

confidence: 99%

Corpus-based Research on English-Chinese Translation Teaching Combining Vocabulary Learning and Practice

Nan Zhang

2024

jes

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As the global economy is developing, real time translation among major influential languages such as English, Chinese has become a necessity. Translation from English to Chinese is difficult since Chinese has a different grammar and ambiguous word boundaries. Furthermore, there are issues with the current Chinese-English machine translation, including difficult-to-understand extended sentences and inaccurate word translation. To address this drawback, the methodology for more precisely categorizing vocabulary in both English and Chinese is described in this research. The data are collected from UM-Corpus news dataset. Then, using SEGBOT: Neural Text Segmentation method, English words are segmented from the sentences available on the dataset. Afterward, the data are fed to pre-processing. In pre-processing segment; words missing in translation from the news dataset are eliminated and enhances the input data utilizing Iterated Square-Root Cubature Kalman Filter. The outcome from the pre-processing data is transferred to the Pyramidal Convolution Shuffle Attention Neural Network (PCSANN). The word order, grammatical structure, consistent style and smooth flow for English to Chinese translation are successfully classified by using PCSANN. The Waterwheel Plant Algorithm (WWPA) is used to optimize the weight parameter of PCSANN. The proposed PCSANN-WWPA is applied in python working platform. Performance metrics, like accuracy, precision, F1-score, and recall are examined to compute proposed method. The gained results of the proposed PCSANN-WWPA method attains higher accuracy of 16.65%, 18.85%, and 17.89%, higher sensitivity of 16.34%, 12.23%, and 18.54% and higher precision of 14.89%, 16.89%, and 18.23%. The proposed ECTT-PCSANN-WWPA method is compared with the existing methods such as ECTT-RNN, ECTT-DNN, and ECTT-MLPNN models respectively.

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Section: A Data Acquisitionmentioning

confidence: 99%

Corpus-based Research on English-Chinese Translation Teaching Combining Vocabulary Learning and Practice

Nan Zhang

2024

jes

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“…The development of wireless communication technology and the widespread application of big data has accelerated globalization (Hussein et al, 2020). Gao (2021) offers solutions to several existing problems. By combining the characteristics of SAR images, learning-based super-high-resolution image reconstruction technology has been added to the field and applied in reality (Liao, 2021).…”

Section: Related Workmentioning

confidence: 99%

Analysis of the Application Potential of English Translation Strategy Based on Wireless Widget Technology in 5G Technology Reports

Zhang

2024

International Journal of Information and Communication Technology Education

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As technology continues to evolve, the process of English translation has become easier. A technology called widget, which is used in modern research, provides an efficient graphical user interface for the interaction between the user and the application. This paper compares the newly proposed wireless widget system with existing models of English translation strategies for internet of things (IoT), cloud computing (CC), artificial intelligence and edge computing (AI+EC), and pure internet concepts. These models were compared on metrics such as accuracy, search completion rate, and throughput. The results show that the proposed system outperforms the existing models with an accuracy rate of 98%, a search completion rate of 96%, and a maximum throughput of 96%. The model shows high performance advantages and can effectively improve the efficiency of translation work.

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“…Since rendering a text into another language while preserving the intended message is the essence of translation, 31 the act of translating can be viewed as a bilateral endeavor that requires the practitioners to have sufficient cultural knowledge to fully comprehend the meaning and generate culturally-accepted translations. 32 Translation quality is maintained by the translators' ability to draw upon their understanding of both the source and target cultures when conveying the cultural elements present in the original text. 33 Translators with strong cultural intelligence will encounter fewer cultural barriers in the translation process and facilitate the application of translation technologies in cross-cultural contexts.…”

Section: Introductionmentioning

confidence: 99%

The Effect of Critical Thinking on Translation Technology Competence Among College Students: The Chain Mediating Role of Academic Self-Efficacy and Cultural Intelligence

Li¹,

Gao²,

Liao³

2023

PRBM

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Background: It is increasingly essential for translators to possess a high level of technological proficiency to succeed in their work, as technology is becoming an integral part and common practice of the translation industry. Several previous studies found that critical thinking, academic self-efficacy, and cultural intelligence independently influenced the translation competence of college students. However, the underlying psychological mechanism through which these salient factors affect student translators' technology competence has not been fully explored. Therefore, this research sought to examine the systematic interactions between critical thinking, academic self-efficacy, cultural intelligence, and translation technology competence among college students. Methods: This study adopted an empirical approach to collect data from 663 seniors from 7 colleges in China. The questionnaires of the Critical Thinking Disposition Scale (CTDS), General Academic Self-Efficacy Scale (GASE), Short Form measure of Cultural Intelligence (SFCQ), and Translation Technology Competence Scale (TTCS) were used for the online survey. The quantitative data were investigated by employing descriptive statistics with SPSS 27, covariance-based structural equation modelling with AMOS 24 to test the proposed hypotheses by assessing relationships between observed and latent variables, and bootstrap method with PROCESS 3.5 to examine the mediating effects. Results: Critical thinking, academic self-efficacy, and cultural intelligence were significant predictors of students' translation technology competence. Additionally, academic self-efficacy and cultural intelligence acted as independent and chain mediators in the relationship between critical thinking and student translators' technology competence. Conclusion:The findings provide valuable insight into how psychological factors, including critical thinking, academic self-efficacy, and cultural intelligence, can impact students' competence in translation technology. This study contributes to future research and practices that seek to understand how these psychological factors can be leveraged to promote students' success in translation technologies.

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[Retracted] Analysis of the Needs of English‐Chinese Translation Courses and Research on Teaching Strategies under the Background of Wireless Communication and Big Data

Cited by 7 publications

References 9 publications

Corpus-based Research on English-Chinese Translation Teaching Combining Vocabulary Learning and Practice

Corpus-based Research on English-Chinese Translation Teaching Combining Vocabulary Learning and Practice

Analysis of the Application Potential of English Translation Strategy Based on Wireless Widget Technology in 5G Technology Reports

The Effect of Critical Thinking on Translation Technology Competence Among College Students: The Chain Mediating Role of Academic Self-Efficacy and Cultural Intelligence

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