Paper: CNGL: Grading Student Answers by Acts of Translation

ACL ID S13-2098
Title CNGL: Grading Student Answers by Acts of Translation
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2013
Authors

We invent referential translation machines (RTMs), a computational model for identify- ing the translation acts between any two data sets with respect to a reference corpus se- lected in the same domain, which can be used for automatically grading student answers. RTMs make quality and semantic similarity judgments possible by using retrieved rele- vant training data as interpretants for reach- ing shared semantics. An MTPP (machine translation performance predictor) model de- rives features measuring the closeness of the test sentences to the training data, the diffi- culty of translating them, and the presence of acts of translation involved. We view question answering as translation from the question to the answer, from the question to the reference answer, from the answer to the refere...