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SUMMARY:Individualised Language in the Big Data Era - Paula Buttery (Unive
 rsity of Cambridge)
DTSTART:20171121T143000Z
DTEND:20171121T150000Z
UID:TALK95659@talks.cam.ac.uk
CONTACT:Guy Edward Toh Emerson
DESCRIPTION:Developments in the field of Computational Linguistics produce
  ever higher-quality technology for processing and disseminating language 
 information. Given the ubiquity of tablets and smart phones\, such technol
 ogy can be of increasing social benefit. At the user level\, applications 
 might provide personalised responses\, for instance\, providing highly tar
 geted feedback to language learners. At a societal level\, applications mi
 ght monitor the development of a humanitarian crisis by automatically proc
 essing social media messages\; or gather intelligence quickly from public 
 news and other social media sources. Global deployment of such application
 s requires language processing technology that can accurately model the sp
 ecific language of an individual\; small group of non-standard language us
 ers\; or so-called low-resource languages. This is at odds with recent imp
 rovements in NLP technology which are heavily reliant on extremely large a
 mounts of language data to train data-hungry statistical learning algorith
 ms. This talk will discuss the extent of this problem and possible solutio
 ns.
LOCATION:Cripps Court\, Magdalene College
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