Will Lewis


pdf bib
TICO-19: the Translation Initiative for COvid-19
Antonios Anastasopoulos | Alessandro Cattelan | Zi-Yi Dou | Marcello Federico | Christian Federmann | Dmitriy Genzel | Franscisco Guzmán | Junjie Hu | Macduff Hughes | Philipp Koehn | Rosie Lazar | Will Lewis | Graham Neubig | Mengmeng Niu | Alp Öktem | Eric Paquin | Grace Tang | Sylwia Tur
Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020

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.


pdf bib
Speech translation user experience in practice
Chris Wendt | Will Lewis | Tanvi Surti
Conferences of the Association for Machine Translation in the Americas: MT Users' Track


pdf bib
Incremental Training and Intentional Over-fitting of Word Alignment
Qin Gao | Will Lewis | Chris Quirk | Mei-Yuh Hwang
Proceedings of Machine Translation Summit XIII: Papers

pdf bib
MT Detection in Web-Scraped Parallel Corpora
Spencer Rarrick | Chris Quirk | Will Lewis
Proceedings of Machine Translation Summit XIII: Papers


pdf bib
Pushing the Quality of a Customized SMT System Using Shared Training Data
Chris Wendt | Will Lewis
Proceedings of Machine Translation Summit XII: Commercial MT User Program