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SUMMARY:Composed\, Distributed Reflections on Semantics and Statistical Ma
 chine Translation - Tim Baldwin\, The University of Melbourne
DTSTART:20141128T120000Z
DTEND:20141128T130000Z
UID:TALK56003@talks.cam.ac.uk
CONTACT:Tamara Polajnar
DESCRIPTION:Instances of successful application of explicit lexical and co
 mpositional semantic analysis to statistical machine translation (SMT) hav
 e been few and far between. Recent work on incorporating ideas from deep l
 earning into SMT have lead to consistently impressive gains in translation
  accuracy\, however\, and "semantics" is now the talk of the town in NLP. 
 In this talk\, I will reflect on the rare instances of successful incorpor
 ation of lexical semantics in MT research\, and the past failures of SMT a
 t incorporating semantics. I\nwill then go on to suggest different ways in
  which distributed semantic approaches can be incorporated into MT researc
 h\, as well as (wildly) speculate on fresh directions for distributed sema
 ntic research that I believe will have even greater impact on MT.
LOCATION:FW26\, Computer Laboratory
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