Paper: Automatic Detection of Machine Translated Text and Translation Quality Estimation

ACL ID P14-2048
Title Automatic Detection of Machine Translated Text and Translation Quality Estimation
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2014
Authors

We show that it is possible to automati- cally detect machine translated text at sen- tence level from monolingual corpora, us- ing text classification methods. We show further that the accuracy with which a learned classifier can detect text as ma- chine translated is strongly correlated with the translation quality of the machine translation system that generated it. Fi- nally, we offer a generic machine transla- tion quality estimation technique based on this approach, which does not require ref- erence sentences.