Paper: Applying Machine Translation Metrics to Student-Written Translations

ACL ID W13-1740
Title Applying Machine Translation Metrics to Student-Written Translations
Venue Innovative Use of NLP for Building Educational Applications
Session
Year 2013
Authors

This paper discusses preliminary work investi- gating the application of Machine Translation (MT) metrics toward the evaluation of transla- tions written by human novice (student) trans- lators. We describe a study in which we ap- ply the metric TERp (Translation Edit Rate Plus) to a corpus of student-written transla- tions from Spanish to English and compare the judgments of TERp against assessments pro- vided by a translation instructor.