Vis enkel innførsel

dc.contributor.authorNesset, Tore
dc.contributor.authorXavier, Kevin
dc.date.accessioned2024-01-16T13:08:52Z
dc.date.available2024-01-16T13:08:52Z
dc.date.issued2023
dc.description.abstractThe present study reports on a machine learning experiment concerning mobile vowels in the Russian preposition v ‘in(to)’. It is shown that a neural network is able to predict mobile vowels in 97.4% of the cases in our dataset, and a decision tree is used to extract a set of three rules that a language learner can use to achieve nearly the same level of accuracy. We argue that these rules are valuable from the perspective of language pedagogy, but that some adjustments are necessary in order to make the rules simpler and more precise. Our study lends support to earlier analyses which emphasize the capacity of mobile vowels to prevent sequences of identical segments. We advance the Word Onset Hierarchy, which enables u s to evaluate the relative importance of phonological features for mobile vowels and highlights the gradient and asymmetric nature of mobile vowels. It is suggested that machine learning represents a valuable tool for language pedagogy, not only for mobile vowels, but also for other areas of Russian grammar that are challenging for students of Russian as a foreign language.en_US
dc.descriptionSource at <a href=https://www.moderna.uu.se/slavic-languages/slovo/>https://www.moderna.uu.se/slavic-languages/slovo/</a>.en_US
dc.identifier.citationNesset t, Xavier K. From machine learning to classroom learning: mobile vowels and the Russian preposition v ‘in(to)’. Slovo. Journal of Slavic Languages, Literatures and Cultures. 2023;63:23-39en_US
dc.identifier.cristinIDFRIDAID 2225059
dc.identifier.issn0348-744X
dc.identifier.issn2001-7359
dc.identifier.urihttps://hdl.handle.net/10037/32518
dc.language.isoengen_US
dc.publisherUppsala universiteten_US
dc.relation.journalSlovo. Journal of Slavic Languages, Literatures and Cultures
dc.relation.urihttps://www.moderna.uu.se/slavic-languages/slovo/current/
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2023 The Author(s)en_US
dc.subjectVDP::Humaniora: 000::Språkvitenskapelige fag: 010::Russisk språk: 028en_US
dc.subjectVDP::Humanities: 000::Linguistics: 010::Russian language: 028en_US
dc.subjectFlyktig vokal / Mobile vowelen_US
dc.subjectMaskinlæring / Machine learningen_US
dc.titleFrom machine learning to classroom learning: mobile vowels and the Russian preposition v ‘in(to)’en_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


Tilhørende fil(er)

Thumbnail

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel