N Best Lists

This paper addressees the problem of eliminat- ing unsatisfactory outputs from machine trans- lation (MT) systems. The authors intend to eliminate unsatisfactory MT outputs by using confidence measures. Confidence measures …...

In this paper, we present a method for modeling joint information when gene- rating n-best lists. We apply the method to a novel task of characterizing the simi- larity of …...

Minimum Error Rate Training is the algo- rithm for log-linear model parameter train- ing most used in state-of-the-art Statistical Machine Translation systems. In its original formulation, the algorithm uses N-best …...

In this paper we present our entry to the WMT’13 shared task: Quality Estima- tion (QE) for machine translation (MT). We participated in the 1.1, 1.2 and 1.3 sub-tasks with …...