Non-Linear Models for Confidence Estimation
نویسندگان
چکیده
This paper describes our work with the data distributed for the WMT’12 Confidence Estimation shared task. Our contribution is twofold: i) we first present an analysis of the data which highlights the difficulty of the task and motivates our approach; ii) we show that using non-linear models, namely random forests, with a simple and limited feature set, succeeds in modeling the complex decisions required to assess translation quality and achieves results that are on a par with the second best results of the shared task.
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