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TICO-19: the Translation Initiative for Covid-19

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arxiv 2007.01788 v2 pith:QLGSSPQC submitted 2020-07-03 cs.CL cs.DLcs.IR

Antonios Anastasopoulos , Alessandro Cattelan , Zi-Yi Dou , Marcello Federico , Christian Federman , Dmitriy Genzel , Francisco Guzmán , Junjie Hu
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Macduff Hughes Philipp Koehn Rosie Lazar Will Lewis Graham Neubig Mengmeng Niu Alp Öktem Eric Paquin Grace Tang Sylwia Tur
This is my paper · ORCID
classification cs.CLcs.DLcs.IR
keywords languagescovid-19developmentdatatranslationasiainitiativepandemic
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The COVID-19 pandemic is the worst pandemic to strike the world in over a century. Crucial to stemming the tide of the SARS-CoV-2 virus is communicating to vulnerable populations the means by which they can protect themselves. To this end, the collaborators forming the Translation Initiative for COvid-19 (TICO-19) have made test and development data available to AI and MT researchers in 35 different languages in order to foster the development of tools and resources for improving access to information about COVID-19 in these languages. In addition to 9 high-resourced, "pivot" languages, the team is targeting 26 lesser resourced languages, in particular languages of Africa, South Asia and South-East Asia, whose populations may be the most vulnerable to the spread of the virus. The same data is translated into all of the languages represented, meaning that testing or development can be done for any pairing of languages in the set. Further, the team is converting the test and development data into translation memories (TMXs) that can be used by localizers from and to any of the languages.

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  1. TransBench: Benchmarking Machine Translation for Industrial-Scale Applications

    cs.CL 2025-05 reject novelty 2.0 of 10

    TransBench is a proposed e-commerce MT benchmark with a three-level evaluation framework and a fine-tuned quality-scoring model, but the paper contains no results and no released data or code.

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