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SUMMARY:The case for a Computational Neurolinguistics - Brian Murphy\, Que
 en's University Belfast
DTSTART:20141104T130000Z
DTEND:20141104T140000Z
UID:TALK54052@talks.cam.ac.uk
CONTACT:Tamara Polajnar
DESCRIPTION:I will talk about some converging trends in cognitive neurosci
 ence and\ncomputational linguistics\, which I believe offer exciting prosp
 ects -\nboth for understanding the operation and organisation of our langu
 age\ncompetence\, and perhaps for building more effective language process
 ing\napplications. On the one hand cognitive neuroscience is becoming more
 \ncomputationally sophisticated in how it analyses higher cognitive\nproce
 sses\, while experiments are becoming more 'ecologically valid' in\nthat t
 hey involve realistic behavioural tasks like story reading or game\nplayin
 g. On the NLP side\, early data-driven methods were often\n"black-boxes" w
 hich used "brute force" to solve niche problems. Now\ncomputational lingui
 stics is producing more nuanced models\, allowing us\nto inject theoretica
 l insights into their design\, and yielding results\nthat are readily inte
 rpretable. I will give an overview of these themes\npresenting experiments
  that try to find solid empirical basis for\nlanguage and meaning in langu
 age corpora\, behavioural norms\, and\nrecordings of brain activity.  
LOCATION:LT1\, Computer Laboratory\, William Gates Builiding
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