Projects and Demos

Some of our more recent projects and demos include:
  • QATS:  QCRI Advanced Transcription System, a state-of-the-art speech recognition system for Modern Standard Arabic, is now live on Aljazeera.net!  Select daily or archived videos and turn on the closed caption feature.
QATS
  • Hot Summer Cool Research - The Arabic Language Technologies team worked with undergraduate students during QCRI's summer internship program on a number of projects. 
  • Arabic e-book reader - an application that supports right-to-left script and other requiremements for the Arabic language.
ebook reader
  • Ethraa - an initiative to enrich the quality and quantity of digital Arabic content.  An editing tool has been developed to help translate content for Wikipedia.  Link to beta.
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Research Director

S Vogel

Dr. Stephan Vogel

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.
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Principal Scientist

Dr Lluis Marquez 

Dr. Lluis Marquez

Coming to QCRI represents facing very exciting research challenges, which are tightly connected to real applications that can impact people interaction and access to information; Contributing to QCRI’s ambitious goals surrounded by a strong team of researchers in an international and dynamic work environment is a real privilege
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Principal Scientist

Fabrizio 

Fabrizio Sebastiani

With very strong research groups in (among others) language technologies, data analytics, and social computing, QCRI is a data scientist’s heaven and an opportunity to be at the forefront of today’s research.
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In the News

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Using Big Data To Understand Migrations

10/08/2014

FORBES Federico Guerrini, Contributor 8 August 2014 Monitoring migrations is not an easy task. While in today’s economy, survey data about economic confidence or public opinion are collected on a ...

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QCRI Takes Steps to Promote Arabic

07/08/2014

Gulf Times 7 August 2014 Qatar Computing Research Institute (QCRI) is applying technology to speech recognition and machine translation to promote Arabic language, reports Foundation magazine. ...

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Closing the Arabic Language Gap Online

22/07/2014

Dr Stephan Vogel, Research Director, Arabic Language Technologies, Qatar Computing Research Institute, describes how his team is applying technology to speech recognition,
machine translation, and answering deep questions

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Upcoming Events

2014

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VLDB2014: 40th International Conference on Very Large Data Bases

Download ICS File 01/09/2014 - 05/09/2014, Hangzhou, China

VLDB is a premier annual international forum for data management and database researchers, vendors, practitioners, application developers, and users.

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31st IASP World Conference

Download ICS File 19/10/2014 - 22/10/2014, Qatar National Convention Centre, Doha, Qatar

The annual conference of the International Association of Science Parks and Areas of Innovation (IASP) is hosted by Qatar Science & Technology Park.

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EMNLP 2014: Conference on Empirical Methods in Natural Language Processing

Download ICS File 25/10/2014 - 29/10/2014, Renaissance Hotel, Doha, Qatar

QCRI is the local host for EMNLP 2014. EMNLP is organized by SIGDAT, the Association for Computational Linguistics special interest group for linguistic data and corpus-based approaches to natural language processing.

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Press Releases

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To Make Your Mark in Computer Science Visit the QCRI Summer Internship Programme Open House

03/04/2014

Qatar Computing Research Institute to host student information session showcasing unique summer internship opportunities

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QCRI Organises Talk by the Inventor of the World Wide Web

17/03/2014

Doha, Qatar, 17 March 2014:  Just a quarter of a century since the birth of the World Wide Web, Qatar Computing Research Institute (QCRI) has invited its inventor, Sir Tim Berners-Lee, to deliver a ...

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World’s Top Machine Learning and Data Analytics Experts Come to Qatar

02/03/2014

Joint Boeing and QCRI research symposium to highlight new approaches to valuable data extraction

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