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Polysemy and SSD model – Testing model predictions on sense uncertainty effects
(Faculty of Philosophy, University of Rijeka, Rijeka, 2018)
Large body of empirical work shown that words with multiple related senses (polysemy) are processed faster than unambiguous words, whereas ones with multiple related meanings (homonymy) are processed slower. At the same ...
Number of senses and semantic settling dynamic model – speed/accuracy feedback as longer processing induction strategy
(Institut za psihologiju, Filozofski fakultet, Univerzitet u BeograduLaboratorija za eksperimentalnu psihologiju, Filozofski fakultet, Univerzitet u Beogradu, 2018)
Previous semantic ambiguity research typically found processing advantage for
polysemous words (multiple related senses) and a disadvantage for homonymous
words (multiple unrelated meanings), compared to unambiguous ...
Semantic Settling Dynamics model and number of senses
(Filozofski Fakultet, Univerzitet u Novom Sadu, 2017)
Large body of empirical investigation revealed that lexical ambiguity effects have been unstable.
Compared to unambiguous words, polysemy (multiple related senses) typically elicited shorter
processing latencies, whereas ...
Semantic dynamics and sense uncertainty effects – predictive power and limitations of the SSD model
(Institut za psihologiju, Filozofski fakultet, Univerzitet u BeograduLaboratorija za eksperimentalnu psihologiju, Filozofski fakultet, Univerzitet u Beogradu, 2019)
Years of empirical work have shown that words with multiple related senses (polysemy) are
processed faster than unambiguous words, whereas the ones with multiple unrelated meanings
(homonymy) are processed slower (Rodd, ...
Testing semantic settling dynamics model predictions – homonym meaning uncertainty
(Filozofski Fakultet, Univerzitet u Novom Sadu, 2019)
Most of the semantic ambiguity research resulted in inconsistent findings. In order
to account for those variations, Armstrong and Plaut (2016) suggested Semantic
Settling Dynamics (SSD) model which predicts the dependence ...