2004. Confidence Estimation for Machine Translation. In COLING 2004: Proceedings of the 20th International Conference on Computational Linguistics, pages 315– ...
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Nicola Ueffing. RWTH Aachen [email protected]. Abstract. We present a detailed study of confidence esti- mation for machine translation.
We present a detailed study of confidence estimation for machine translation. Various methods for determining whether MT output is correct are investigated, ...
The binary classification problem of assess- ing the correctness of an NLP system's output is known as confidence estimation (CE). It has been extensively ...
Moreover, Confidence Estimation (CE) can be useful for some applications that their goal is to improve machine translation quality such as system combination, ...
Oct 26, 2020 · The paper investigates the feasibility of confidence estimation for neural machine translation models operating at the high end of the performance spectrum.
This work uses the theory of Inductive Confidence Machines (ICM) to identify a threshold to map a continuous predicted score into “good” / “bad” categories ...
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Estimating functions form an attractive statistical methodology because of their dependence on only a few features of the underlying probabilistic structure.
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