Despite excellent results on benchmarks over a small subset of languages, large language models struggle to process text from languages situated in 'lower-resource' scenarios such as dialects/sociolects (national or social varieties of a language), …
We present the results from the 8th round of the WMT shared task on MT Automatic Post-Editing, which consists in automatically correcting the output of a 'black-box' machine translation system by learning from human corrections. This year, the task …
We report the results of the WMT 2022 shared task on Quality Estimation, in which the challenge is to predict the quality of the output of neural machine translation systems at the word and sentence levels, without access to reference translations. …