@inproceedings{vasselli-etal-2025-multilingual,
title = "Multilingual Dialogue Generation and Localization with Dialogue Act Scripting",
author = "Vasselli, Justin and
Kardinata, Eunike Andriani and
Sakai, Yusuke and
Watanabe, Taro",
editor = "Christodoulopoulos, Christos and
Chakraborty, Tanmoy and
Rose, Carolyn and
Peng, Violet",
booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing",
month = nov,
year = "2025",
address = "Suzhou, China",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.emnlp-main.1670/",
doi = "10.18653/v1/2025.emnlp-main.1670",
pages = "32884--32899",
ISBN = "979-8-89176-332-6",
abstract = "Non-English dialogue datasets are scarce, and models are often trained or evaluated on translations of English-language dialogues, an approach which can introduce artifacts that reduce their naturalness and cultural appropriateness. This work proposes Dialogue Act Script (DAS), a structured framework for encoding, localizing, and generating multilingual dialogues from abstract intent representations. Rather than translating dialogue utterances directly, DAS enables the generation of new dialogues in the target language that are culturally and contextually appropriate. By using structured dialogue act representations, DAS supports flexible localization across languages, mitigating translationese and enabling more fluent, naturalistic conversations. Human evaluations across Italian, German, and Chinese show that DAS-generated dialogues consistently outperform those produced by both machine and human translators on measures of cultural relevance, coherence, and situational appropriateness."
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%0 Conference Proceedings
%T Multilingual Dialogue Generation and Localization with Dialogue Act Scripting
%A Vasselli, Justin
%A Kardinata, Eunike Andriani
%A Sakai, Yusuke
%A Watanabe, Taro
%Y Christodoulopoulos, Christos
%Y Chakraborty, Tanmoy
%Y Rose, Carolyn
%Y Peng, Violet
%S Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
%D 2025
%8 November
%I Association for Computational Linguistics
%C Suzhou, China
%@ 979-8-89176-332-6
%F vasselli-etal-2025-multilingual
%X Non-English dialogue datasets are scarce, and models are often trained or evaluated on translations of English-language dialogues, an approach which can introduce artifacts that reduce their naturalness and cultural appropriateness. This work proposes Dialogue Act Script (DAS), a structured framework for encoding, localizing, and generating multilingual dialogues from abstract intent representations. Rather than translating dialogue utterances directly, DAS enables the generation of new dialogues in the target language that are culturally and contextually appropriate. By using structured dialogue act representations, DAS supports flexible localization across languages, mitigating translationese and enabling more fluent, naturalistic conversations. Human evaluations across Italian, German, and Chinese show that DAS-generated dialogues consistently outperform those produced by both machine and human translators on measures of cultural relevance, coherence, and situational appropriateness.
%R 10.18653/v1/2025.emnlp-main.1670
%U https://aclanthology.org/2025.emnlp-main.1670/
%U https://doi.org/10.18653/v1/2025.emnlp-main.1670
%P 32884-32899
Markdown (Informal)
[Multilingual Dialogue Generation and Localization with Dialogue Act Scripting](https://aclanthology.org/2025.emnlp-main.1670/) (Vasselli et al., EMNLP 2025)
ACL