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 …

While many parallel corpora are not publicly accessible for data copyright, data privacy and
competitive differentiation reasons, trained translation models are increasingly available on …

Language identification (LID) is a fundamental step in many natural language processing
pipelines. However, current LID systems are far from perfect, particularly on lower-resource …

Several recent papers have published good solutions for language identification (LID) for
about 300 high-resource and medium-resource languages. However, there is no LID …

For many low-resource languages, the only available language models are large
multilingual models trained on many languages simultaneously. However, using FLORES …

While many parallel corpora are not publicly accessible for data copyright, data privacy and
competitive differentiation reasons, trained translation models are increasingly available on …

The machine translation efficiency task challenges participants to make their systems faster
and smaller with minimal impact on translation quality. How much quality to sacrifice for …

The scaling laws of language models have played a significant role in advancing large
language models. In order to promote the development of document translation, we …

This paper provides an overview of NVIDIA NeMo's speech translation systems for the
IWSLT 2022 Offline Speech Translation Task. Our cascade system consists of 1) Conformer …

This paper describes Netmarble's submission to WMT21 Automatic Post-Editing (APE)
Shared Task for the English-German language pair. First, we propose a Curriculum Training …