Dr. Stephan Vogel

S Vogel
Research Director
Arabic Language Technologies
+(974) 4454 1438

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Being part of a research institute in start-up mode, helping to build a strong team doing world class research, and at the same time experiencing a different environment in terms of culture and language, geography and climate.

Research Focus at QCRI

As Research Director of the Arabic Language Technologies (ALT) group, Stephan is responsible for helping to define the overall research agenda of QCRI and of the ALT team in particular.

His own research focus is on machine translation, especially the so-called statistical machine translation (SMT), where statistical modeling and machine learning techniques are used to learn from existing (human) translations how to translate new sentences. In the team’s research they deal with fundamental questions like optimization in SMT, integrating morphology, novel reordering models, etc, but also how this can be turned into useful applications to support real-live multilingual communication and information access.

An additional interest, which Stephan hopes to explore more in the future, is to apply language technologies in educational applications. In particular, QCRI’s ALT team has started to develop CALL (computer assisted language learning) applications for Arabic.

Previous Experience

Before joining QCRI Stephan was research scientist at CMU, Pittsburgh, where he advised 10 PhD and 8 Master students, also visiting students from other universities, and led or participated in a number of research projects, funded by NSF and DARPA, including TIDES and GALE.

Professional Experience

  • 2005 - 2011 Assistant Research Professor at the Language Technologies Institute, Carnegie Mellon University, USA
  • 2001 - 2005 Research Scientist at the Language Technologies Institute, Carnegie Mellon University, USA.
  • 2000 - 2001 Research Assistant at the University of Karlsruhe (now KIT), Germany.
  • 1995 - 2000 Research Assistant at RWTH Aachen, Germany.

Professional Associations and Awards

 

Education

  • PhD, RWTH Aachen, Computer Science Department, 2000
  • M.Phil History and Philosophy of Science, University of Cambridge, England, 1985
  • Diploma of Physics, Philips University, Marburg, 1983

Selected Research

  • AshishVenugopal, Andreas Zollmann, Noah A.Smith, and Stephan Vogel. Preference Grammars: Softening Syntactic Constraints to Improve Statistical Machine Translation. NAACL HLT 2009, Boulder, Colorado, May 31 - June 5, 2009.
  • Stephan Vogel, Tanja Schultz, Alex Waibel, Seiichi Yamamoto. Speech Translation Strategies. In: Tanja Schultz and Katrin Kirchhoff (Ed.) Multilingual Speech Processing. Elsevier, Academic Press, 2006.
  • Stephan Vogel, PESA: Phrase Pair Extraction as Sentence Splitting. The 10th Machine Translation Summit; Phuket, Thailand, September 13-15, 2005.
  • Stephan Vogel, Ying Zhang, Fei Huang, Alicia Tribble, AshishVenugopal, Bing Zhao, and Alex Waibel, The CMU Statistical Translation System. MT Summit IX, New Orleans, LA, U.S.A., September 2003.
  • Stephan Vogel, Hermann Ney, ChristophTillmann. HMM-Based Word Alignment in Statistical Translation. International Conference on Computational Linguistics (COLING), Copenhagen, pp. 836-841, August 1996.

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In the Media

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Can AI Put An End To Fake News? Don't Be So Sure

07/10/2018

Fake news was the Collin’s word of the year for 2017 with good reason. In a year where politics-as-usual was torn apart at the seams, high-profile scandals rocked our faith in humanity and the ...

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MIT/QCRI system uses machine learning to build road maps

22/04/2018

Map apps may have changed our world, but they still haven’t mapped all of it yet. Specifically, mapping roads can be difficult and tedious: even after taking aerial images, companies still have to ...

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Improving disaster response efforts through data

08/02/2018

Extreme weather events put the most vulnerable communities at high risk. How can data analytics strengthen early warning systems and and support relief efforts for communities in need? The size and ...

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Upcoming Events

Past Events

2019

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(MLDAS 2019) Machine Learning and Data Analytics Symposium

Download ICS File 01/04/2019  - 02/04/2019 ,

Machine Learning and Data Analytics Symposium - MLDAS 2019 Building on the success of the three previous events , Boeing and QCRI will hold the fifth Machine Learning and Data Analytics Symposium (...

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"Learning to See" Public talk by Professor Antonio Torralba (MIT-CSAIL)

Download ICS File 25/03/2019 ,

Visit by Antonio Torralba, who teaches machines to automate tasks that a human visual system can accomplish, is part of annual spring research update between QCRI and MIT-CSAIL.

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QCRI - MIT CSAIL 2019 Annual Project Review

Download ICS File 25/03/2019 ,

Executive Overview Sessions Open to publi Date: March 25, 2019 Time: 10:15AM - 5:15PM Venue: Hamad Bin Khalia Reseach Complex Multipurpose Room To view agenda, please click here . To RSVP to this ...

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News Releases

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QCRI and iMMAP announce Memorandum of Understanding

03/03/2019

Pact aims to apply data analysis and artificial intelligence techniques to solve humanitarian problems.

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UNDP partners with QCRI to use AI for social good

11/02/2019

Qatar forum on leveraging AI to solve humanitarian problems fills to capacity.

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Renowned computing expert C. Mohan to bust blockchain myths in Qatar talk

22/01/2019

Well-known inventor of database recovery algorithms to deliver keynote at QCRI's first blockchain workshop.

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