Applying Machine Translation Metrics to Student-Written Translations
Lisa N. Michaud, Patricia A. McCoy · Workshop on Innovative Use of NLP for Building Educational Applications · 2013
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.