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BEGIN:VEVENT
UID:/NewsandEvents/Archives/2018/newsitem/9611/25-
 January-2018-Master-of-Science-AI-defense-Peter-De
 kker
DTSTAMP:20180122T134817
SUMMARY:Master of Science AI defense, Peter Dekker
DTSTART;TZID=Europe/Amsterdam:20180125T140000
LOCATION:Science Park 107, room F3.20
ATTENDEE;ROLE=Supervisor:dr. Jelle Zuidema and pro
 f.dr. Gerhard Jäger
DESCRIPTION:In my thesis, I applied the machine le
 arning paradigm, succesful in many computing tasks
 , to historical linguistics. I proposed the task o
 f word prediction: by training a machine learning 
 model on pairs of words in two languages, it learn
 s the sound correspondences between the two langua
 ges and should be able to predict unseen words.
X-ALT-DESC;FMTTYPE=text/html:\n  <p>In my thesis, 
 I applied the machine learning paradigm, succesful
  in many computing tasks, to historical linguistic
 s. I proposed the task of <em>word prediction</em>
 : by training a machine learning model on pairs of
  words in two languages, it learns the sound corre
 spondences between the two languages and should be
  able to predict unseen words.</p>\n
URL:/NewsandEvents/Archives/2018/newsitem/9611/25-
 January-2018-Master-of-Science-AI-defense-Peter-De
 kker
CONTACT:Peter Dekker at peter.dekker at student.uv
 a.nl
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