Abstract Grammatical Error Correction (GEC) is the task of automatically detecting and
correcting errors in text. The task not only includes the correction of grammatical errors, such …

This paper presents the results of the premier shared task organized alongside the
Conference on Machine Translation (WMT) 2019. Participants were asked to build machine …

To facilitate effective translation modeling and translation studies, one of the crucial
questions to address is how to assess translation quality. From the perspectives of accuracy …

This paper presents the results of the WMT21 Metrics Shared Task. Participants were asked
to score the outputs of the translation systems competing in the WMT21 News Translation …

This paper presents the results of the news translation task, the multilingual low-resource
translation for Indo-European languages, the triangular translation task, and the automatic …

Despite the progress in machine translation quality estimation and evaluation in the last
years, decoding in neural machine translation (NMT) is mostly oblivious to this and centers …

Translation quality evaluation plays a crucial role in machine translation. According to the
input format, it is mainly separated into three tasks, ie, reference-only, source-only and …

Recent years have seen big advances in the field of sentence-level quality estimation (QE),
largely as a result of using neural-based architectures. However, the majority of these …

We report the results of the WMT 2021 shared task on Quality Estimation, where the
challenge is to predict the quality of the output of neural machine translation systems at the …

With an increasing number of parameters and pre-training data, generative large language
models (LLMs) have shown remarkable capabilities to solve tasks with minimal or no task …