Considerations of relevance to the target reader in Korean into English translation

Lee, Vivian

doi:10.1080/23306343.2015.1131880

Cited by 2 publications

(1 citation statement)

References 21 publications

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“…Matching the needs and expectations of the reader is a requirement for effective communication not only in monolingual texts (produced and revised in one language), but also in texts that are translated from one language into another (Schrijver et al 2016). As such, readeroriented communication is also an important component of translation curricula and modules (Federici/Cadwell 2018;Lee 2016).…”

Section: Training On Reader-oriented Communicationmentioning

confidence: 99%

Revision of Business Content on Corporate Social Responsibility

Rossetti

Waes²

2022

HJLCB

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With more and more people interested in how sustainable and socially responsible companies are, the comprehensibility of content on corporate social responsibility (CSR) has become paramount. Producing easy-to-read business content – either by writing it from scratch or revising it – is a cognitively demanding undertaking, especially for second-language non-professional writers. Both formal training and sustained practice can help writers build expertise and, in turn, be considerate of their intended audience. In particular, research on the impact of training has usually yielded positive results when examining the texts produced following specific instruction. However, the extent to which training has a positive effect on the process of writing and revision is still under-researched, especially in second language. To address this gap, we report on an experimental study that examines the impact of reader-oriented training on the cognitive effort experienced by 47 second-language university students when revising CSR content. We adopted a pre-test post-test design, and we used keystroke logging and retrospective interviews to collect data on students' pausing behaviour, use of online sources, and strategies to approach the revision task. Our training seemed to reduce the cognitive effort linked with lexical choices. Furthermore, it provided some students with procedural knowledge on how to approach the revision task in a more efficient way. We also observed a general tendency to rewrite (rather than revise) CSR content despite the higher cognitive effort required by rewriting. We discuss implications for training, limitations, and future research avenues.

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Section: Training On Reader-oriented Communicationmentioning

confidence: 99%

Revision of Business Content on Corporate Social Responsibility

Rossetti

Waes²

2022

HJLCB

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Algorithm Design of Translation Accuracy Correction for English Translation Softwares

2021

J. Phys.: Conf. Ser.

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With the development of economic globalization, English is needed in more and more different cases in people’s daily life, and so is English translation. Traditional English software translation mainly depends on machine, which on the one hand facilitates people’s life, while on the other hand it also has some disadvantages. For example, translation errors are characterized by iterative transmission, weak logic and low accuracy. Traditional machine translation has been unable to meet people’s demand for both speed and quality, so it can no longer meet people’s needs. Therefore, this paper puts forward the design of translation accuracy correction algorithm for English translation softwares. First of all, an in-depth research on the traditional English translation methods, such as lexical semantic translation and phrase translation, are conducted with the method of documentation. Then, a dependency tree to string model and log linear model are established. Finally, the BLEU value and NIST value of the three translation softwares as well as the translation accuracy before and after algorithm correction is compared and analyzed. The conclusion shows that the highest accuracy of English translation before correction is only 75.6%, while the lowest accuracy is as high as 98.7% after the algorithm is adopted in this paper. The difference of accuracy between the two shows that the effectiveness of the correction system in this paper makes an outstanding contribution.

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Considerations of relevance to the target reader in Korean into English translation

Cited by 2 publications

References 21 publications

Revision of Business Content on Corporate Social Responsibility

Revision of Business Content on Corporate Social Responsibility

Algorithm Design of Translation Accuracy Correction for English Translation Softwares

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