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From Quality to Communication Success: Insights from Recent Research and Open Questions for AI Translation

Marine Carpuat

University of Maryland — Computer Science

Abstract

Strong machine-translation benchmark scores do not by themselves show whether translation tools help people communicate. Marine Carpuat presents human-centered research on how nonexpert users understand and rely on machine translation, and draws implications for evaluation and system design. The talk then considers open research questions about making successful communication a central objective of large-language-model research and development.

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