Decoding semantic representations during production of minimal adjective-noun phrases

dc.contributor.authorHonari Jahromi, Maryam
dc.contributor.supervisorFyshe, Alona
dc.date.accessioned2019-04-25T20:46:24Z
dc.date.available2019-04-25T20:46:24Z
dc.date.copyright2019en_US
dc.date.issued2019-04-25
dc.degree.departmentDepartment of Computer Scienceen_US
dc.degree.levelMaster of Science M.Sc.en_US
dc.description.abstractThrough linguistic abilities, our brain can comprehend and produce an infinite number of new sentences constructed from a finite set of words. Although recent research has uncovered the neural representation of semantics during comprehension of isolated words or adjective-noun phrases, the neural representation of the words during utterance planning is less understood. We apply existing machine learning methods to Magnetoencephalography (MEG) data recorded during a picture naming experiment, and predict the semantic properties of uttered words before they are said. We explore the representation of concepts over time, under controlled tasks, with varying compositional requirements. Our results imply that there is enough information in brain activity recorded by MEG to decode the semantic properties of the words during utterance planning. Also, we observe a gradual improvement in the semantic decoding of the first uttered word, as the participant is about to say it. Finally, we show that, compared to non-compositional tasks, planning to compose an adjective-noun phrase is associated with an enhanced and sustained representation of the noun. Our results on the neural mechanisms of basic compositional structures are a small step towards the theory of language in the brain.en_US
dc.description.scholarlevelGraduateen_US
dc.identifier.urihttp://hdl.handle.net/1828/10756
dc.languageEnglisheng
dc.language.isoenen_US
dc.rightsAvailable to the World Wide Weben_US
dc.subjectSemantic compositionen_US
dc.subjectlanguage productionen_US
dc.subjectbrain decodingen_US
dc.titleDecoding semantic representations during production of minimal adjective-noun phrasesen_US
dc.typeThesisen_US

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