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SUMMARY:Automatic Lexical Acquisition from the CHILDES Database - Paula Bu
 ttery and Anna Korhonen (RCEAL)
DTSTART:20070424T150000Z
DTEND:20070424T163000Z
UID:TALK7224@talks.cam.ac.uk
CONTACT:Teresa Parodi
DESCRIPTION:Empirical data regarding the syntactic complexity of children'
 s speech is important for theories of language acquisition. Currently much
  of this data is absent in the annotated versions of the CHILDES database.
  In this study\, we show that a state-of-the-art subcategorization acquisi
 tion system (Preiss et al. 2007) can be used to extract large-scale subcat
 egorization (frequency) information from the (i) child and (ii) child-dire
 cted speech within the CHILDES database without any domain-specific tuning
 . We demonstrate that the acquired information is sufficiently accurate to
  a) confirm previously reported research findings and b) yield completely 
 new research findings for theoretical language acquisition research. We al
 so report qualitative results which can be used to further improve parsing
  and lexical acquisition technology for child language data in the future.
  
LOCATION:GR-06/07\, English Faculty Building
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