Revealing Master’s theses structures using Machine Learning Methods

dc.contributor.authorSusman, Margaux
dc.contributor.authorHint, Helen
dc.contributor.authorŠinkūnienė, Jolanta
dc.contributor.authorLeijen, Djuddah A.J.
dc.coverage.spatialSixth International Conference of Applied Linguistics ‘Languages and People: Problems and Solutions (Vilnius)
dc.date.accessioned2023-05-31T14:45:16Z
dc.date.available2023-05-31T14:45:16Z
dc.date.issued2022-09-30
dc.identifier.urihttps://hdl.handle.net/10062/90067
dc.identifier.urihttps://doi.org/10.58009/aere-perennius0063
dc.language.isoenget
dc.publisherTartu Ülikoolet
dc.rightsopenAccesset
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectacademic textet
dc.subjectmaster's theseset
dc.subjectIMRaD structureet
dc.subjectEstonianet
dc.subjectLithuanianet
dc.titleRevealing Master’s theses structures using Machine Learning Methodset
dc.typePresentationet

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