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Approaching English-Polish Machine Translation Quality Assessment with Neural-based Methods. (arXiv:2209.11016v1 [cs.CL])
This paper presents our contribution to the PolEval 2021 Task 2: Evaluation
of translation quality assessment metrics. We describe experiments with
pre-trained language models and state-of-the-art frameworks for translation
quality assessment in both nonblind and blind versions of the task. Our
solutions ranked second in the nonblind version and third in the blind version.