Linguistic Metric

Linguistic metrics quantify aspects of language, aiming to objectively measure features previously assessed subjectively. Current research focuses on improving the accuracy and reliability of these metrics, particularly by refining aggregation methods and developing new metrics tailored to specific tasks, such as assessing anthropomorphism in text or analyzing early-stage writing. These advancements are impacting fields ranging from machine translation evaluation and startup investment prediction to clinical language assessment, offering more efficient and objective tools for analysis and potentially improving the fairness and accuracy of various applications.