Quality Estimation Task

This paper describes the features and the ma- chine learning methods used by Dublin City University (DCU) and SYMANTEC for the WMT 2012 quality estimation task. Two sets of features …...

This paper presents the results of the WMT12 shared tasks, which included a translation task, a task for machine translation evaluation metrics, and a task for run-time estimation of machine …...

We in this paper describe the regression sys- tem for our participation in the quality estima- tion task of WMT12. This paper focuses on exploiting special phrases, or word sequences, …...

We present the results of the WMT13 shared tasks, which included a translation task, a task for run-time estimation of ma- chine translation quality, and an unoffi- cial metrics task. …...

This paper presents the results of the WMT14 shared tasks, which included a standard news translation task, a sepa- rate medical translation task, a task for run-time estimation of machine …...

We use referential translation machines (RTM) for quality estimation of translation outputs. RTMs are a computational model for identifying the translation acts between any two data sets with respect to …...

This paper presents the results of the WMT15 shared tasks, which included a standard news translation task, a metrics task, a tuning task, a task for run-time estimation of machine …...

This paper introduces our SAU-KERC system that achieved F1 score of 0.39 in the world-level quality estimation task in WMT2015. The goal is to assign each trans- lated word a …...