We introduce MADLAD-400, a manually audited, general domain 3T token monolingual
dataset based on CommonCrawl, spanning 419 languages. We discuss the limitations …

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 …

Almost all existing machine translation models are built on top of character-based
vocabularies: characters, subwords or words. Rare characters from noisy text or character …

A single sentence does not always convey information that is enough to translate it into other
languages. Some target languages need to add or specialize words that are omitted or …

Noisy or non-standard input text can cause disastrous mistranslations in most modern
Machine Translation (MT) systems, and there has been growing research interest in creating …

Abstract Machine translation (namely MT) has been one of the most popular fields in
computational linguistics and Artificial Intelligence (AI). As one of the most promising …

Both image-caption pairs and translation pairs provide the means to learn deep
representations of and connections between languages. We use both types of pairs in …

We share the findings of the first shared task on improving robustness of Machine
Translation (MT). The task provides a testbed representing challenges facing MT models …

Recent machine translation algorithms mainly rely on parallel corpora. However, since the
availability of parallel corpora remains limited, only some resource-rich language pairs can …