Paco Guzman (Meta AI) “Building a Universal Translation System to Break Down Language Barriers”
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Abstract
Our models achieve state-of-the-art performance and lay important groundwork towards realizing a universal translation system. At the same time, we keep making open-source contributions for everyone to keep advancing the research for the languages they care about.
Bio
Paco is Research Scientist Manager supporting translation teams in Meta AI (FAIR). He works in the field of machine translation with a focus on low-resource translation (e.g. NLLB, FLORES) and the aim to break language barriers. He joined Meta in 2016. His research has been published in top-tier NLP venues like ACL, EMNLP. He was the co-chair of the Research director at AMTA (2020-2022). He has ave organized several research competitions focused on low-resource translation and data filtering. Paco obtained his PhD from the ITESM in Mexico, was a visiting scholar at the LTI-CMU from 2008-2009, and participated in DARPA’s GALE evaluation program. Paco was a post-doc and scientist at Qatar Computing Research Institute in Qatar in 2012-2016