Understanding and Being Understood: User Strategies for Identifying and Recovering From Mistranslations in Machine Translation-Mediated Chat-Reference-Cited by-同舟云学术

Understanding and Being Understood: User Strategies for Identifying and Recovering From Mistranslations in Machine Translation-Mediated Chat

Published:2022-06-20 Issue: Volume: Page:
ISSN:
Container-title:2022 ACM Conference on Fairness, Accountability, and Transparency
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Author:

Robertson Samantha¹,Díaz Mark²

Affiliation:

1. University of California, Berkeley, USA

2. Google, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3531146.3534638

Reference74 articles.

1. Guidelines for Human-AI Interaction

2. Jeanne Batalova and Jie Zong . 2016. Language Diversity and English Proficiency in the United States . Migration Policy Institute . Retrieved July 19, 2021 from https://www.migrationpolicy.org/article/language-diversity-and-english-proficiency-united-states-2015 Jeanne Batalova and Jie Zong. 2016. Language Diversity and English Proficiency in the United States. Migration Policy Institute. Retrieved July 19, 2021 from https://www.migrationpolicy.org/article/language-diversity-and-english-proficiency-united-states-2015

3. Special issue: Linguistic discrimination and cultural diversity in social spaces

4. On the Dangers of Stochastic Parrots

5. Neural versus Phrase-Based Machine Translation Quality: a Case Study

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