Eleftherios Avramidis

Error Span Annotation: A Balanced Approach for Human Evaluation of Machine Translation

2024 · arXiv (Cornell University)

High-quality Machine Translation (MT) evaluation relies heavily on human judgments. Comprehensive error classification methods, such as Multidimensional Quality Metrics (MQM), are expensive as they are time-consuming and can only be done by experts, whose availability …