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 …

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 …

This paper presents the results of the WMT17 shared tasks, which included three machine
translation (MT) tasks (news, biomedical, and multimodal), two evaluation tasks (metrics and …

This article presents a review of the evolution of automatic post-editing, a term that describes
methods to improve the output of machine translation systems, based on knowledge …

Recent advances in the capacity of large language models to generate human-like text have
resulted in their increased adoption in user-facing settings. In parallel, these improvements …

Intent detection is one of the core components of goal-oriented dialog systems, and
detecting out-of-scope (OOS) intents is also a practically important skill. Few-shot learning is …

Literary translation is a culturally significant task, but it is bottlenecked by the small number
of qualified literary translators relative to the many untranslated works published around the …

Large language models have shown surprising performances in understanding instructions
and performing natural language tasks. In this paper, we propose iterative translation …

Previous work on multimodal machine translation has shown that visual information is only
needed in very specific cases, for example in the presence of ambiguous words where the …

We present MLQE-PE, a new dataset for Machine Translation (MT) Quality Estimation (QE)
and Automatic Post-Editing (APE). The dataset contains eleven language pairs, with human …