I was excited to take part on the foundation of this new Institute. Helping to create something from scratch appealed to me. I already knew some of the talented people at QCRI, and could tell that something grand was brewing. Also, living in the intriguing Middle East, learning a new language, interacting with a new culture, that was a plus.
Dr. Francisco Javier Guzmán Herrera is a Scientist working for the Arabic Language Technologies department at the Qatar Computing Research Institute (QCRI). His field of work is set at the intersection of Language Technologies and Machine Learning. He has extensive experience in the field of Machine Translation, where he started working since 2006. His research has been published in top-tier venues such as the Association of Computational Linguistics (ACL), the international Conference on Empirical Methods for Natural Language Processing (EMNLP), International Conference on Computational Linguistics (COLING), among others. Together with his team, he has participated in several international machine translation competitions such as: Seventh Workshop on Statistical Machine Translation (WMT) 2012, International Workshop on Spoken Language Translation (IWSLT) 2013, National Institute of Standards and Technology (NIST) Open MT Evaluation 2015, consistently obtaining top rankings for Arabic-English and Spanish-English language pairs. In 2014, he obtained the “Best in show” award at the BBC’s NewsHack III – Language Tech event in London, U.K., where international teams competed to have the best language-technologies application for news. His research has pushed the boundaries of the field of machine translation evaluation using discourse information. In 2014, his team metric (discotk) won the WMT2014 metrics evaluation campaign.
Dr. Guzmán enjoys coaching young minds. In the summer of 2012, he and Dr. Stephan Vogel started the first “Hot Summer/Cool research” internship program, to introduce undergraduate students from local universities to the research world. Since then, he has mentored more than dozen students, challenging them with research questions related to language technologies.
Before joining QCRI, he collaborated in teams dealing with Speech Technology (Tecnológico de Monterrey, 2011) and Machine Translation (Carnegie Mellon University, 2008-2011). He obtained his PhD from the Instituto Tecnológico y de Estudios Superiores de Monterrey, in Mexico; and was a visiting scholar at the Language Technologies Institute at Carnegie Mellon University from 2008-2009, where he took part of DARPA’s GALE evaluation program, under the Rosetta (IBM) consortium..
In the Media
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Two-day crash course to provide hands-on introduction to machine learning for industry practitioners, developers, graduate students and undergraduates.