Multilingual Dialogue Generation and Localization with Dialogue Act Scripting (2025.emnlp-main)
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| Challenge: | Existing approaches to training or evaluating non-English dialogue datasets often introduce artifacts that reduce their naturalness and cultural appropriateness. |
| Approach: | They propose a structured framework for encoding, localizing, and generating multilingual dialogues from abstract intent representations. |
| Outcome: | The proposed framework outperforms translation models in Italian, German, and Chinese on cultural relevance, coherence, and situational appropriateness. |
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Jon Cai, Brendan King, Peyton Cameron, Susan Windisch Brown, Miriam Eckert, Dananjay Srinivas, George Arthur Baker, V Kate Everson, Martha Palmer, James Martin, Jeffrey Flanigan
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