Al-Rifaie on BBC

AISB Committee member and Research Fellow at Goldsmiths, University of London, Dr Mohammad Majid al-Rifaie was interviewed by the BBC (in Farsi) along with his colleague Mohammad Ali Javaheri Javid on the 6 November 2014. He was a...


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Rose wins the Loebne...

After 2 hours of judging at Bletchley Park, 'Rose' by Bruce Wilcox was declared the winner of the Loebner Prize 2014, held in conjunction with the AISB.  The event was well attended, film live by Sky News and the special guest jud...


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AISB Convention 2015

The AISB Convention is an annual conference covering the range of AI and Cognitive Science, organised by the Society for the Study of Artificial Intelligence and Simulation of Behaviour. The 2015 Convention will be held at the Uni...


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Yasemin Erden on BBC

AISB Committee member, and Philosophy Programme Director and Lecturer, Dr Yasemin J. Erden interviewed for the BBC on 29 October 2013. Speaking on the Today programme for BBC Radio 4, as well as the Business Report for BBC world N...


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Mark Bishop on BBC ...

Mark Bishop, Chair of the Study of Artificial Intelligence and the Simulation of Behaviour, appeared on Newsnight to discuss the ethics of ‘killer robots’. He was approached to give his view on a report raising questions on the et...


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AISB YouTube Channel

The AISB has launched a YouTube channel: http://www.youtube.com/user/AISBTube (http://www.youtube.com/user/AISBTube). The channel currently holds a number of videos from the AISB 2010 Convention. Videos include the AISB round t...


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Notice

AISB opportunities Bulletin Item

Postdoc position position in statistical machine translation, Amsterdam, THE NETHERLANDS


Postdoc position in Statistical Machine Translation at ILLC

For the STW-funded project "Data-Powered Domain-Specific Translation Services On Demand" led by Dr 
Khalil Sima'an, the ILLC is looking for a Postdoc in Statistical Machine Translation.

The DatAptor project aims at research and development for advanced statistical machine translation 
(SMT) systems that adapt to a new domain automatically using algorithms for extracting and 
weighting suitable training instances in an industry-scale, multi-domain parallel corpus. The 
project addresses various challenges including statistical weighting of parallel data instances 
to better fit user-supplied example documents, SMT adaptation by-example to new domains, and 
extensions of hierarchical and syntactic SMT systems.

The application deadline is 22 October 2012. Vacancy number: W12-186. For more information, see 
http://www.uva.nl/vacatures/vacatures.cfm/F8913E68-1A0B-45CF-B895DAFE7AF49D1A
or contact Dr Khalil Sima'an at k.simaan@uva.nl.

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