Translation as a multilingual activity in the digital era

Vandepitte, Sonia; Lefever, Els

doi:10.3917/rfla.232.0059

Cited by 4 publications

(4 citation statements)

References 27 publications

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“…Avoid packet loss or error handling. Literature [15] arranges the update sequence between service chains under the consideration of network resource constraints, so as to complete the update of the entire network state. Literature [16] uses an OpenNF or Split/Merge update mechanism to realize the update of a single service chain.…”

Section: Related Workmentioning

confidence: 99%

English Education Translation System Based on 5G Network Virtualization

Hou

2022

Journal of Sensors

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In order to improve the effect of English education translation, this paper improves the 5G network virtualization algorithm and uses the typical correlation analysis method in data mining to extract the correlation relationship between the data content contained in the massive English translation user equipment. Furthermore, this paper adopts the similarity-based clustering method to realize the self-organization construction of English translation virtual community. On this basis, this paper proposes a spectrum allocation algorithm based on convex optimization, which effectively solves the problem of spectrum allocation in virtual cells. Finally, this paper constructs the functional architecture of the English education translation system based on 5G network virtualization and conducts experimental research. The experimental research results show that the English education translation system based on 5G virtualization constructed in this paper can play an important role in smart English teaching.

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Section: Related Workmentioning

confidence: 99%

English Education Translation System Based on 5G Network Virtualization

Hou

2022

Journal of Sensors

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“…The translation understanding work based on deep learning has achieved fruitful results, shortening the translation semantic gap to a certain extent, but there is still some room for improvement. Reference [14] deepened the network depth to an unprecedented 152-layer M, directly reducing the translation classification error rate on Ima-geNet to less than 5%, approaching or even surpassing the human recognition accuracy rate to an unprecedented peak of development. With the help of deep learning, the task of object-level analysis has also achieved great breakthroughs.…”

Section: Related Workmentioning

confidence: 99%

Design and Application of Chinese English Machine Translation Model Based on Improved Bidirectional Neural Network Fusion Attention Mechanism

Qin

2022

Wireless Communications and Mobile Computing

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In order to improve the effect of Chinese-English machine translation, this paper combines attention mechanism and neural network algorithm and applies it to Chinese-English machine learning translation. Moreover, this paper uses Gaussian distribution instead of chi-square distribution to analyze the approximate error introduced by the Chinese and English speech energy detection method. In addition, this paper studies the overall and specific approximation errors by establishing the normalized mean square error function and the absolute error function, respectively. Finally, this paper proposes a new model for machine translation based on logarithmic position representation and self-attention mechanism. Through the experimental research, it can be seen that the Chinese-English machine translation model integrating attention mechanism and bidirectional neural network proposed in this paper has a good practical translation effect.

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“…Since the internationalisation and localisation of products such as software and websites already strengthened the Globalisation, Internationalisation, Localisation and Translation (GILT) industry [ 10 ], translation has therefore become a multilingual research topic that has given rise to a flourishing field of translation studies in recent years [ 11 ]. Restrictions and capabilities of dubbing and subtitles were discussed when dealing with multilingualism [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

Bilingual translations of intensifiers in Dong-A Ilbo’s news about China: A corpus-based discourse analysis approach

Jiuding

2024

PLoS ONE

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Drawing on the framework of Ideological Square Model, this paper carries out a corpus-based analysis of the ways in which group relations and the image of China are re-shaped in the English translation (ET) and the Chinese translation (CT) of Korean news discourse about China with intensifiers as an entry of inquiry. The results show that (1) There is a statistically significant difference regarding faithfulness between the ET and the CT of intensifiers (χ2 = 38.11>3.84, p<0.05), with the ET having more translation shifts. Additionally, the Chi-square test of a 3x3 contingency table (T = 49.77>5.99, P<0.05) indicates that there is a difference between the distribution of translation shifts at the 3 levels between ET and CT. (2) The ET of Korean news about China aligns more closely with van Dijk’s ideological square model, while CT violates. It is argued that South Korean media have ideological factors to consider when it comes to Chinese readers accepting CT. (3) There is an alteration of the ideological square model in the target texts. The results indicate that in the translation of a target language, the translation propensity for relevant topics of the target country in which the language is spoken obeys the rules of “Us”, the ingroup, but not “them”, the outgroup.

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Translation as a multilingual activity in the digital era

Cited by 4 publications

References 27 publications

English Education Translation System Based on 5G Network Virtualization

English Education Translation System Based on 5G Network Virtualization

Design and Application of Chinese English Machine Translation Model Based on Improved Bidirectional Neural Network Fusion Attention Mechanism

Bilingual translations of intensifiers in Dong-A Ilbo’s news about China: A corpus-based discourse analysis approach

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