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Understanding and Being Understood: User Strategies for Identifying and Recovering From Mistranslations in Machine Translation-Mediated Chat
Research article (2022 ACM Conference on Fairness, Accountability, and Transparency, 2022) · cited 11× · AI/ML
Understanding and Being Understood: User Strategies for Identifying and Recovering From Mistranslations in Machine Translation-Mediated Chat
Summary
Understanding and Being Understood: User Strategies for Identifying and Recovering From Mistranslations in Machine Translation-Mediated Chat is a scholarly article[1].
Key Facts
Understanding and Being Understood: User Strategies for Identifying and Recovering From Mistranslations in Machine Translation-Mediated Chat's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Understanding and Being Understood: User Strategies for Identifying and Recovering From Mistranslations in Machine Translation-Mediated Chat. Retrieved May 24, 2026, from https://4ort.xyz/entity/understanding-and-being-understood-user-strategies-for-identifying-and-recovering-from-mistranslations-in-machine-transl
MLA“Understanding and Being Understood: User Strategies for Identifying and Recovering From Mistranslations in Machine Translation-Mediated Chat.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/understanding-and-being-understood-user-strategies-for-identifying-and-recovering-from-mistranslations-in-machine-transl.
BibTeX@misc{4ortxyz_understanding-and-being-understood-user-strategies-for-identifying-and-recovering-from-mistranslations-in-machine-transl_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Understanding and Being Understood: User Strategies for Identifying and Recovering From Mistranslations in Machine Translation-Mediated Chat}}, year = {2026}, url = {https://4ort.xyz/entity/understanding-and-being-understood-user-strategies-for-identifying-and-recovering-from-mistranslations-in-machine-transl}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Understanding and Being Understood: User Strategies for Identifying and Recovering From Mistranslations in Machine Translation-Mediated Chat — https://4ort.xyz/entity/understanding-and-being-understood-user-strategies-for-identifying-and-recovering-from-mistranslations-in-machine-transl (retrieved 2026-05-24)
