Applying Machine Translation Metrics to Student-Written Translations

Document Type

Conference Proceeding

Publication Title

Proceedings of the Eighth Workshop on Innovative Use of NLP for Building Educational Applications

Publication Date


Abstract/ Summary

This paper discusses preliminary work investigating the application of Machine Translation (MT) metrics toward the evaluation of translations written by human novice (student) translators. We describe a study in which we apply the metric TERp (Translation Edit Rate Plus) to a corpus of student-written translations from Spanish to English and compare the judgments of TERp against assessments provided by a translation instructor.