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 …

Background: The recent advances in machine translation (MT) offer an appealing and low-
cost solution to overcome language barriers in multiple contexts (eg, travelling, cultural …

Natural language processing researchers have identified limitations of evaluation
methodology for generation tasks, with new questions raised about the validity of automatic …

In the seventh edition of the WMT Biomedical Task, we addressed a total of seven language
pairs, namely English/German, English/French, English/Spanish, English/Portuguese …

This paper provides an overview of NVIDIA NeMo's neural machine translation systems for
the constrained data track of the WMT21 News and Biomedical Shared Translation Tasks …

Motivation This article describes NEREL-BIO—an annotation scheme and corpus of
PubMed abstracts in Russian and smaller number of abstracts in English. NEREL-BIO …

Background Biomedical language translation requires multi-lingual fluency as well as
relevant domain knowledge. Such requirements make it challenging to train qualified …

Preservation of domain knowledge from the source to target is crucial in any translation
workflow. It is common in the translation industry to receive highly specialized projects …

Terminology correctness is important in the downstream application of machine translation,
and a prevalent way to ensure this is to inject terminology constraints into a translation …