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Opportunities for Human-centered Evaluation of Machine Translation Systems.

, , , and . NAACL-HLT (Findings), page 229-240. Association for Computational Linguistics, (2022)

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Understanding and Being Understood: User Strategies for Identifying and Recovering From Mistranslations in Machine Translation-Mediated Chat., and . FAccT, page 2223-2238. ACM, (2022)An open-source realtime computational platform (short WIP paper)., , , and . LCTES, page 109-112. ACM, (2018)Angler: Helping Machine Translation Practitioners Prioritize Model Improvements., , , , and . CHI, page 832:1-832:20. ACM, (2023)Modeling Assumptions Clash with the Real World: Transparency, Equity, and Community Challenges for Student Assignment Algorithms., , and . CHI, page 589:1-589:14. ACM, (2021)Designing for Reliability in Algorithmic Systems. University of California, Berkeley, USA, (2023)Reliable and Safe Use of Machine Translation in Medical Settings., , and . FAccT, page 2016-2025. ACM, (2022)Opportunities for Human-centered Evaluation of Machine Translation Systems., , , and . NAACL-HLT (Findings), page 229-240. Association for Computational Linguistics, (2022)Expressiveness, Cost, and Collectivism: How the Design of Preference Languages Shapes Participation in Algorithmic Decision-Making., , , , , and . CHI, page 600:1-600:16. ACM, (2023)Opportunities and risks for engaging research participants with self-logged menstrual health data., , and . HILDA@SIGMOD, page 8:1-8:7. ACM, (2022)