Large Language Models for Machine Translation Quality Annotation: Humans and Models Are Both Challenged
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Large Language Models (LLMs) are considered to be a more efficient and cost-effective alternative to human judgment for Machine Translation (MT) evaluation. With MT evaluation spanning a large number of language pairs, domains and levels of annotation granularity, LLMs must be thoroughly evaluated across these dimensions before being reliably used as alternatives to human evaluation. …
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llm-translation-quality-annotation