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SUMMARY:N-grams - Jakub Kaplan
DTSTART:20091020T173000Z
DTEND:20091020T183000Z
UID:TALK20774@talks.cam.ac.uk
CONTACT:John Wickerson
DESCRIPTION:Many modern Natural Language Processing applications require t
 he ability to predict the upcoming word following a sequence of previous w
 ords. For example\, statistical machine translation uses it to verify the 
 fluency of the translated text in the target language. The aim is to intro
 duce the very basics of how this is implemented and evaluated\, plus to hi
 nt at some advanced issues\, should time allow.
LOCATION:Tizard Room\, Churchill College
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