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PreQuEL: Quality Estimation of Machine Translation Outputs in Advance. (arXiv:2205.09178v1 [cs.CL])
May 20, 2022, 1:11 a.m. | Shachar Don-Yehiya, Leshem Choshen, Omri Abend
cs.LG updates on arXiv.org arxiv.org
We present the task of PreQuEL, Pre-(Quality-Estimation) Learning. A PreQuEL
system predicts how well a given sentence will be translated, without recourse
to the actual translation, thus eschewing unnecessary resource allocation when
translation quality is bound to be low. PreQuEL can be defined relative to a
given MT system (e.g., some industry service) or generally relative to the
state-of-the-art. From a theoretical perspective, PreQuEL places the focus on
the source text, tracing properties, possibly linguistic features, that make a
sentence …
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