论文标题
通过基于神经的方法来接近英语 - 波兰机器翻译质量评估
Approaching English-Polish Machine Translation Quality Assessment with Neural-based Methods
论文作者
论文摘要
本文介绍了我们对Polval 2021任务2的贡献：翻译质量评估指标的评估。我们用预先训练的语言模型和最先进的框架来描述实验，以在任务的非盲和盲版中进行翻译质量评估。我们的解决方案在非蓝色版本中排名第二，在盲版中排名第三。
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.
