Machine Translation Metric

Machine translation (MT) metrics automatically assess the quality of translated text, aiming to provide objective evaluations that correlate with human judgment. Current research focuses on improving the interpretability and reliability of these metrics, particularly by moving beyond simple correlation with human scores to analyze performance across diverse error types and downstream tasks, and by developing methods to incorporate document-level context. This work is crucial for advancing MT research and development, enabling more informed system design and facilitating the efficient evaluation of increasingly sophisticated translation models.