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DTEND;VALUE=DATE-TIME:20210509T144500Z
DTSTART;VALUE=DATE-TIME:20210509T141500Z
DTSTAMP;VALUE=DATE-TIME:20210428T160257Z
UID:7058c9bb-96d0-487d-96a2-a573718c6935@talks.stuts.de
DESCRIPTION:During language acquisition\, German grammatical gender poses
  difficulty due to a lack of reliable noun cues from which gender can be
  inferred and because of syncretism within the paradigm. These factors a
 ffect the acquisition of indefinite articles\, definite articles\, and p
 ersonal pronouns associated with nouns. In this talk\, I will give a bri
 ef overview of an experiment on combining multiple gender cues to disamb
 iguate the paradigm’s overlaps: By adding inflected adjectives\, further
  morphemes were included. In an artificial language learning experiment\
 , one participant group was presented sentences including semi-artificia
 l color adjectives\, while another group was exposed to the same sentenc
 es without artificial adjective suffixes. There were no significant diff
 erences between the two groups concerning sentence production with train
 ed material and concerning grammaticality judgment tasks with trained an
 d novel material. Nonetheless\, participants of the inflected condition 
 performed significantly higher compared to the other group at generalizi
 ng their knowledge to new material during a sentence production task wit
 h untrained items. The study concludes that the higher input complexity 
 caused stronger paradigm knowledge.
URL:https://devel.junge-sprachwissenschaft.de/events/541.html
SUMMARY:Optimizing input complexity for the acquisition of indefinite and
  definite articles and personal pronouns: An artificial language learnin
 g study on gender-like category induction
ORGANIZER:stuts69
LOCATION:stuts69 - blue
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