Paper ID: 2209.11016

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

Artur Nowakowski

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.

Submitted: Sep 22, 2022