English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

This paper explores the influence of integrating the purpose of thetranslation and the target audience into prompts on the quality of translationsproduced by ChatGPT. Drawing on previous translation studies, industrypractices, and ISO standards, the research underscores the significance of thepre-production phase in the translation process. The study reveals that theinclusion of suitable prompts in large-scale language models like ChatGPT canyield flexible translations, a feat yet to be realized by conventional MachineTranslation (MT). The research scrutinizes the changes in translation qualitywhen prompts are used to generate translations that meet specific conditions.The evaluation is conducted from a practicing translator's viewpoint, bothsubjectively and qualitatively, supplemented by the use of OpenAI's wordembedding API for cosine similarity calculations. The findings suggest that theintegration of the purpose and target audience into prompts can indeed modifythe generated translations, generally enhancing the translation quality byindustry standards. The study also demonstrates the practical application ofthe "good translation" concept, particularly in the context of marketingdocuments and culturally dependent idioms.

Optimizing Machine Translation through Prompt Engineering: An Investigation into ChatGPT's Customizability