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Main Authors: Tenzer, Helene, Abidi, Oumnia, Feuerriegel, Stefan
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2509.11921
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author Tenzer, Helene
Abidi, Oumnia
Feuerriegel, Stefan
author_facet Tenzer, Helene
Abidi, Oumnia
Feuerriegel, Stefan
contents Large language models (LLMs) are increasingly used in everyday communication, including multilingual interactions across different cultural contexts. While LLMs can now generate near-perfect literal translations, it remains unclear whether LLMs support culturally appropriate communication. In this paper, we analyze the cultural sensitivity of different LLM designs when applied to English-Japanese translations of workplace e-mails. Here, we vary the prompting strategies: (1) naive "just translate" prompts, (2) audience-targeted prompts specifying the recipient's cultural background, and (3) instructional prompts with explicit guidance on Japanese communication norms. Using a mixed-methods study, we then analyze culture-specific language patterns to evaluate how well translations adapt to cultural norms. Further, we examine the appropriateness of the tone of the translations as perceived by native speakers. We find that culturally-tailored prompting can improve cultural fit, based on which we offer recommendations for designing culturally inclusive LLMs in multilingual settings.
format Preprint
id arxiv_https___arxiv_org_abs_2509_11921
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Designing LLMs for cultural sensitivity: Evidence from English-Japanese translation
Tenzer, Helene
Abidi, Oumnia
Feuerriegel, Stefan
Computation and Language
Computers and Society
Human-Computer Interaction
Large language models (LLMs) are increasingly used in everyday communication, including multilingual interactions across different cultural contexts. While LLMs can now generate near-perfect literal translations, it remains unclear whether LLMs support culturally appropriate communication. In this paper, we analyze the cultural sensitivity of different LLM designs when applied to English-Japanese translations of workplace e-mails. Here, we vary the prompting strategies: (1) naive "just translate" prompts, (2) audience-targeted prompts specifying the recipient's cultural background, and (3) instructional prompts with explicit guidance on Japanese communication norms. Using a mixed-methods study, we then analyze culture-specific language patterns to evaluate how well translations adapt to cultural norms. Further, we examine the appropriateness of the tone of the translations as perceived by native speakers. We find that culturally-tailored prompting can improve cultural fit, based on which we offer recommendations for designing culturally inclusive LLMs in multilingual settings.
title Designing LLMs for cultural sensitivity: Evidence from English-Japanese translation
topic Computation and Language
Computers and Society
Human-Computer Interaction
url https://arxiv.org/abs/2509.11921