Thesis supervisor: Ágnes Lukács
Location of studies (in Hungarian): BME Kognitív Tudományi Tanszék Abbreviation of location of studies: BME
Description of the research topic:
Statistical learning (SL), a form of learning through observation sensitive to frequency distributions and transitional probabilities which extracts patterns and regularities from environmental stimuli, plays an important role in several areas of language acquisition (in phonologial, lexical and grammatical development as well). On of aour aims is to explore to domain-generality of mechanisms of SL and test whether it is equally efficient with linguistic and non-linguistic, acoustic and visual and sequential and nonsequential stimuli. We will also examine the factors influencing the effectiveness of learning in different domains, and track developmental changes.
Saffran, J. R. (2002). Constraints on Statistical Language Learning. Journal of Memory and Language, 47, 172–196.
Required language skills: angol Number of students who can be accepted: 1
Deadline for application: 2024-05-31
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
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