Semantic Dynamics and Sense Uncertainty Efects – Predictive Power and Limitations of the SSD Model
Апстракт
The Semantic Settling Dynamics (SSD) model was proposed to account for
the large body of inconsistent fndings on processing of lexical ambiguity (Armstrong & Plaut, 2016). However, the evaluation of this model is still at its roots. We focused on polysemes
(words with multiple related senses) and tested the prediction that an increase in time spent in processing would be followed by a decrease in polysemy advantage in a lexical decision task
(LDT). We described polysemy by using a continuous measure of sense uncertainty (entropy) and focused on the slope of entropy effect in relation to the time spent in processing. In
the standard visual LDT (baseline) we replicated the finding that polysemous words with higher entropy (high number of balanced senses) were processed faster (Filipović Đurđević,
2007). An attempt to prolong the processing by reducing the contrast between the stimuli and the background did not affect the time spent in processing, but neither did it affect the slope
...
of the entropy effect. Finally, presenting the same stimuli in auditory LDT prolonged the processing and cancelled out the entropy effect. Our results speak in favor of the SSD model, but
also point to certain limitations which we will discuss in detail.
Кључне речи:
semantic settling dynamics model / semantic dynamicsИзвор:
Abstracts of the Psychonomic Society Annual Meeting, 2019, 240-Издавач:
- The Psychonomic Society
Финансирање / пројекти:
- Фундаментални когнитивни процеси и функције (RS-MESTD-Basic Research (BR or ON)-179033)
- Наследни, средински и психолошки чиниоци менталног здравља (RS-MESTD-Basic Research (BR or ON)-179006)
Напомена:
- Dostupno: https://cdn.ymaws.com/www.psychonomic.org/resource/resmgr/annual_meeting/2019_meeting/ps2019annualmeeting-FINAL.pdf
URI
https://cdn.ymaws.com/www.psychonomic.org/resource/resmgr/annual_meeting/2019_meeting/ps2019annualmeeting-FINAL.pdfhttp://reff.f.bg.ac.rs/handle/123456789/4920
Институција/група
Psihologija / PsychologyTY - CONF AU - Mišić, Ksenija AU - Filipović Đurđević, Dušica PY - 2019 UR - https://cdn.ymaws.com/www.psychonomic.org/resource/resmgr/annual_meeting/2019_meeting/ps2019annualmeeting-FINAL.pdf UR - http://reff.f.bg.ac.rs/handle/123456789/4920 AB - The Semantic Settling Dynamics (SSD) model was proposed to account for the large body of inconsistent fndings on processing of lexical ambiguity (Armstrong & Plaut, 2016). However, the evaluation of this model is still at its roots. We focused on polysemes (words with multiple related senses) and tested the prediction that an increase in time spent in processing would be followed by a decrease in polysemy advantage in a lexical decision task (LDT). We described polysemy by using a continuous measure of sense uncertainty (entropy) and focused on the slope of entropy effect in relation to the time spent in processing. In the standard visual LDT (baseline) we replicated the finding that polysemous words with higher entropy (high number of balanced senses) were processed faster (Filipović Đurđević, 2007). An attempt to prolong the processing by reducing the contrast between the stimuli and the background did not affect the time spent in processing, but neither did it affect the slope of the entropy effect. Finally, presenting the same stimuli in auditory LDT prolonged the processing and cancelled out the entropy effect. Our results speak in favor of the SSD model, but also point to certain limitations which we will discuss in detail. PB - The Psychonomic Society C3 - Abstracts of the Psychonomic Society Annual Meeting T1 - Semantic Dynamics and Sense Uncertainty Efects – Predictive Power and Limitations of the SSD Model SP - 240 UR - https://hdl.handle.net/21.15107/rcub_reff_4920 ER -
@conference{ author = "Mišić, Ksenija and Filipović Đurđević, Dušica", year = "2019", abstract = "The Semantic Settling Dynamics (SSD) model was proposed to account for the large body of inconsistent fndings on processing of lexical ambiguity (Armstrong & Plaut, 2016). However, the evaluation of this model is still at its roots. We focused on polysemes (words with multiple related senses) and tested the prediction that an increase in time spent in processing would be followed by a decrease in polysemy advantage in a lexical decision task (LDT). We described polysemy by using a continuous measure of sense uncertainty (entropy) and focused on the slope of entropy effect in relation to the time spent in processing. In the standard visual LDT (baseline) we replicated the finding that polysemous words with higher entropy (high number of balanced senses) were processed faster (Filipović Đurđević, 2007). An attempt to prolong the processing by reducing the contrast between the stimuli and the background did not affect the time spent in processing, but neither did it affect the slope of the entropy effect. Finally, presenting the same stimuli in auditory LDT prolonged the processing and cancelled out the entropy effect. Our results speak in favor of the SSD model, but also point to certain limitations which we will discuss in detail.", publisher = "The Psychonomic Society", journal = "Abstracts of the Psychonomic Society Annual Meeting", title = "Semantic Dynamics and Sense Uncertainty Efects – Predictive Power and Limitations of the SSD Model", pages = "240", url = "https://hdl.handle.net/21.15107/rcub_reff_4920" }
Mišić, K.,& Filipović Đurđević, D.. (2019). Semantic Dynamics and Sense Uncertainty Efects – Predictive Power and Limitations of the SSD Model. in Abstracts of the Psychonomic Society Annual Meeting The Psychonomic Society., 240. https://hdl.handle.net/21.15107/rcub_reff_4920
Mišić K, Filipović Đurđević D. Semantic Dynamics and Sense Uncertainty Efects – Predictive Power and Limitations of the SSD Model. in Abstracts of the Psychonomic Society Annual Meeting. 2019;:240. https://hdl.handle.net/21.15107/rcub_reff_4920 .
Mišić, Ksenija, Filipović Đurđević, Dušica, "Semantic Dynamics and Sense Uncertainty Efects – Predictive Power and Limitations of the SSD Model" in Abstracts of the Psychonomic Society Annual Meeting (2019):240, https://hdl.handle.net/21.15107/rcub_reff_4920 .