Ergun Biçici. Referential Translation Machines for Predicting Translation Quality and Related Statistics. In Proc. of the First Conference on Statistical Machine Translation (WMT16), Berlin, Germany, August 2016. Association for Computational Linguistics.[WWW] Keyword(s): Machine Translation, Machine Learning, Performance Prediction.
Referential translation machines (RTMs) pioneer a language independent approach for predicting translation performance and to all similarity tasks with top performance in both bilingual and monolingual settings and remove the need to access any task or domain specific information or resource. RTMs achieve to become 1st in document-level, 4th system at sentence-level according to mean absolute error, and 4th in phrase-level prediction of translation quality in quality estimation task.
Researcher in Computer Science and Engineering
PhD in Computer Engineering from
Department of Computer Engineering, Koç University.
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