Approaching English-Polish Machine Translation Quality Assessment with Neural-based Methods

09/22/2022

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by   Artur Nowakowski, et al.

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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.