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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People remain calm as the world ends, video game study suggests

28/03/2017

As the world ends, will you lock arms and sing “Kumbayah” or embark on a path of law-breaking, anti-social behavior? A new study, based upon the virtual actions of more than 80,000 players of the ...

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Computer vision research aims to identify overweight people from social media face photos

16/03/2017

Researchers from MIT and the Qatar Computing Research Institute have developed a novel new facility in the current rush of interest towards computer vision – an algorithm that can identify overweight...

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Algorithm can create a bridge between Clinton and Trump supporters

20/02/2017

A growing number of people have expressed their concern about high levels of polarization in society. For instance, the World Economic Forum's report on global risks lists the increasing societal ...

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Upcoming Events

Past Events

2017

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QCRI-MIT CSAIL Annual Research Project Review 2017

Download ICS File 27/03/2017 ,

The QCRI – MIT CSAIL Annual Research Project Review is open to the public on Monday, March 27, 2017, at the HBKU Research Complex Multipurpose Room. The annual meeting is a highlight of a ...

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MLDAS 2017

(MLDAS 2017) Machine Learning and Data Analytics Symposium

Download ICS File 13/03/2017  - 14/03/2017 , Qatar National Convention Centre

Machine Learning and Data Analytics Symposium - MLDAS 2017 Building on the success of the three previous events , Boeing and QCRI will hold the Fourth Machine Learning and Data Analytics Symposium (...

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Women in Data Science

Download ICS File 03/02/2017 ,

Here's a great chance to learn about the latest data science-related research in multiple domains, as part of a global project. Qatar's WiDS event will be held here at the HBKU Research Complex on ...

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News Releases

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QCRI summer 2017 internship applications open

11/03/2017

The Qatar Computing Research Institute, part of Hamad bin Khalifa University, has announced that applications for its summer internship program have opened. The internships are being offered to ...

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MIT-CSAIL's Patrick Winston tells Qatar audience: 'AI is not a threat'

05/03/2017

Artificial intelligence expert says humans should not consider AI to be a major threat to their existence but should use it to enhance it.

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Boeing Partners with QCRI for fourth annual Machine Learning and Data Analytics Symposium (MLDAS)

09/02/2017

The Boeing Company has announced that it will once again partner with the Qatar Computing Research Institute (QCRI), part of Hamad bin Khalifa University, to host the fourth annual Machine Learning ...

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