An Investigation of Warning Erroneous Chat Translations in Cross-lingual Communication
Machine translation models are still inappropriate for translating chats, despite the popularity of translation software and plug-in applications. The complexity of dialogues poses significant challenges and can hinder crosslingual communication. Instead of pursuing a flawless translation system, a more practical approach would be to issue warning messages about potential mistranslations to reduce confusion. However, it is still unclear how individuals perceive these warning messages and whether they benefit the crowd. This paper tackles to investigate this question and demonstrates the warning messages' contribution to making chat translation systems effective.
Code (0)
등록된 구현이 없습니다.
Tasks
Machine TranslationTranslationSimilar Papers 제목 키워드 기반
Chat Translation Error Detection for Assisting Cross-lingual Communications
In this paper, we describe the development of a communication support system that detects erroneous translations to facilitate crosslingual communications due to the limitations of current machine chat translation method…
TranslationOptimizing Machine Translation through Prompt Engineering: An Investigation into ChatGPT's Customizability
This paper explores the influence of integrating the purpose of the translation and the target audience into prompts on the quality of translations produced by ChatGPT. Drawing on previous translation studies, industry p…
Machine TranslationMarketingPrompt EngineeringTranslationHow to Design Translation Prompts for ChatGPT: An Empirical Study
The recently released ChatGPT has demonstrated surprising abilities in natural language understanding and natural language generation. Machine translation relies heavily on the abilities of language understanding and gen…
Machine TranslationNatural Language UnderstandingText GenerationTranslationMachine Translation Testing via Syntactic Tree Pruning
Machine translation systems have been widely adopted in our daily life, making life easier and more convenient. Unfortunately, erroneous translations may result in severe consequences, such as financial losses. This requ…
Machine TranslationSentenceTranslationValidating ChatGPT Facts through RDF Knowledge Graphs and Sentence Similarity
Since ChatGPT offers detailed responses without justifications, and erroneous facts even for popular persons, events and places, in this paper we present a novel pipeline that retrieves the response of ChatGPT in RDF and…
Knowledge GraphsSentenceSentence EmbeddingsSentence Similarity