arXiv:2209.11016

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

Artur Nowakowski

제출 2022-09-22

원문 초록

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.

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