2019 ACL ACL 2019

EED: Extended Edit Distance Measure for Machine Translation

Abstract

AbstractOver the years a number of machine translation metrics have been developed in order to evaluate the accuracy and quality of machine-generated translations. Metrics such as BLEU and TER have been used for decades. However, with the rapid progress of machine translation systems, the need for better metrics is growing. This paper proposes an extension of the edit distance, which achieves better human correlation, whilst remaining fast, flexible and easy to understand.

🧭 Keyword Pioneer — edit distance
🐝 Cross-Pollinator — Artificial Intelligence, Deep Learning, Machine Learning, Natural Language Processing
🌱 Topic Pioneer — Algorithm
🌉 Interdisciplinary Bridge — Mathematics & Optimization and Natural Language Processing