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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, ...
The effect of semantic relatedness of ambiguous words in the free recall task
(Institut za psihologiju, Filozofski fakultet, Univerzitet u BeograduLaboratorija za eksperimentalnu psihologiju, Filozofski fakultet, Univerzitet u Beogradu, 2019)
In this study we focused on semantic ambiguity, namely, the difference between homonyms (multiple unrelated meanings) and polysemous words (multiple related senses). Previous research on processing effects of ambiguity ...
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 ...
Polysemy in context: an experimental test of the sense entropy effect
(Institute for Psychology and Laboratory for Experimental Psychology, Faculty of Philosophy in Belgrade, 2022)
Entropy is a measure of sense uncertainty within polysemous words. The more senses a word has and the more balanced their probabilities are, the sense uncertainty is higher, i.e. the word is more ambiguous (Filipović ...
Do dominance effects for polysemous words depend on sense probabilities?
(Faculty of Philosophy in Novi Sad, 2023)
Polysemous words have multiple related senses and represent one of the most
widespread phenomena in language (Rodd et al., 2004). When presented in isolation in
a word recognition task (e.g. visual lexical decision task), ...
Can a naive discrimination learning model classify inflected forms of polysemous nouns?
(Faculty of Philosophy in Novi Sad, 2021)
The interactive approach in the modularity-of-syntax debate suggests that we simultaneously process a vast amount of information regarding both semantic and syntactic meaning of a word. When we add to the consideration the ...
The polysemy effect across inflected word forms
(Institute for Psychology and Laboratory for Experimental Psychology, Faculty of Philosophy in Belgrade, 2021)
Polysemes are ambiguous words with multiple related senses (PAPER – ‘writing paper’ and ‘scientific paper’; Rodd et al., 2002). Previous research established that polyseme processing is also affected by sense uncertainty ...
The numberof senses effect in polysemous adjective recognition
(Institute for Psychology and Laboratory for Experimental Psychology, Faculty of Philosophy in Belgrade, 2021)
Previous research revealed a significant polysemy effect: namely, it found that words with multiple related senses (polysemous words) are recognised faster compared to the words with multiple unrelated meanings (homonymous ...
Interaction of semantic and syntactic ambiguity in the light of discrimination learning
(Book of Abstracts, International Conference on Error-Driven Learning in Language (EDLL 2021), March 10 - 12, University of Tübingen, 2021)
In this research we wanted to investigate whether the effects observed during simultaneous
processing of semantic and syntactic lexical ambiguity could be interpreted within the framework
of error-driven learning. To ...
Uncertainty of polysemous word senses in the light of discrimination learning
(Book of Abstracts, International Conference on Error-Driven Learning in Language (EDLL 2021), March 10 - 12, University of Tübingen, 2021)
This research will present an attempt to simulate the processing effects of polysemy using the
model based on discrimination learning (Baayen, et al., 2011) thus showing that lexical-
semantic processing can be described ...