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
6-2013
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.
Repository Citation
Michaud, L. N.,
&
McCoy, P. A.
(2013). Applying Machine Translation Metrics to Student-Written Translations. Proceedings of the Eighth Workshop on Innovative Use of NLP for Building Educational Applications, 306-311.
Available at: https://scholarworks.merrimack.edu/cs_facpub/5
