Prompting ChatGPT for Translation: A Comparative Analysis of Translation Brief and Persona Prompts
Prompt engineering has shown potential for improving translation quality in LLMs. However, the possibility of using translation concepts in prompt design remains largely underexplored. Against this backdrop, the current paper discusses the effectiveness of incorporating the conceptual tool of translation brief and the personas of translator and author into prompt design for translation tasks in ChatGPT. Findings suggest that, although certain elements are constructive in facilitating human-to-human communication for translation tasks, their effectiveness is limited for improving translation quality in ChatGPT. This accentuates the need for explorative research on how translation theorists and practitioners can develop the current set of conceptual tools rooted in the human-to-human communication paradigm for translation purposes in this emerging workflow involving human-machine interaction, and how translation concepts developed in translation studies can inform the training of GPT models for translation tasks.
Code (0)
등록된 구현이 없습니다.
Tasks
Prompt EngineeringTranslationMethods 이 논문이 사용한 방법론
Similar Papers 제목 키워드 기반
Is ChatGPT A Good Translator? Yes With GPT-4 As The Engine
This report provides a preliminary evaluation of ChatGPT for machine translation, including translation prompt, multilingual translation, and translation robustness. We adopt the prompts advised by ChatGPT to trigger its…
Machine TranslationSentenceTranslationCurrent LLMs still cannot 'talk much' about grammar modules: Evidence from syntax
We aim to examine the extent to which Large Language Models (LLMs) can 'talk much' about grammar modules, providing evidence from syntax core properties translated by ChatGPT into Arabic. We collected 44 terms from gener…
Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models
Generative large language models (LLMs), e.g., ChatGPT, have demonstrated remarkable proficiency across several NLP tasks, such as machine translation, text summarization. Recent research (Kocmi and Federmann, 2023) has …
Machine TranslationNatural Language UnderstandingQuestion AnsweringText Summarization+1Convergences and Divergences between Automatic Assessment and Human Evaluation: Insights from Comparing ChatGPT-Generated Translation and Neural Machine Translation
Large language models have demonstrated parallel and even superior translation performance compared to neural machine translation (NMT) systems. However, existing comparative studies between them mainly rely on automated…
Machine TranslationNMTPrompt EngineeringTranslationWhat is the Best Way for ChatGPT to Translate Poetry?
Machine translation (MT) has historically faced significant challenges when applied to literary works, particularly in the domain of poetry translation. The advent of Large Language Models such as ChatGPT holds potential…
Machine TranslationTranslation