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Sepideh Sadeghi
Graduate Research Assistant
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unified models of infant word learning
bayesian models
computational cognitive science
nlp/ml

research
sepideh sadeghi and matthias scheutz (2018)
sensitivity to input order: evaluation of an incremental and memory-limited bayesian cross-situational word learning model
proceedings of the 27th international conference on computational linguistics (coling 2018)
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sepideh sadeghi and matthias scheutz (2018)
early syntactic bootstrapping in an incremental memory-limited word learner
proceedings of the thirty-second aaai conference on artificial intelligence (aaai-18)
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sepideh sadeghi and matthias scheutz (2017)
joint acquisition of word order and word referent in a memory-limited and incremental learner
proceedings of the 2017 8th ieee international conference on cognitive infocommunications (coginfocom)
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sepideh sadeghi and matthias scheutz and evan krause (2017)
an embodied incremental bayesian model of cross-situational word learning
proceedings of the 2017 joint ieee international conference on development and learning and epigenetic robotics (icdl-epirob)
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matthias scheutz and evan krause and sepideh sadeghi (2014)
an embodied real-time model of language-guided incremental visual search
proceedings of the 36th annual conference of the cognitive science society
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sepideh sadeghi, helen pu, matthias scheutz, phillip j. holcomb, katherine j. midgley (2013)
a pdp model for capturing n400 effects in early l2 learners during bilingual word reading tasks
proceedings of the 35th annual conference of the cognitive science society,
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