{"data":{"id":"10.4225/03/5acffc60eb649","type":"dois","attributes":{"doi":"10.4225/03/5acffc60eb649","prefix":"10.4225","suffix":"03/5acffc60eb649","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Rajeg, Gede Primahadi Wijaya","nameType":"Personal","givenName":"Gede Primahadi Wijaya","familyName":"Rajeg","affiliation":[],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-2047-8621","nameIdentifierScheme":"ORCID"}]},{"name":"Karlina Denistia","affiliation":[],"nameIdentifiers":[]},{"name":"Musgrave, Simon","nameType":"Personal","givenName":"Simon","familyName":"Musgrave","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"Semantic vector space model and the usage patterns of Indonesian denominal verbs with \u003ci\u003emeN-\u003c/i\u003e, \u003ci\u003emeN- -kan\u003c/i\u003e, and \u003ci\u003emeN- -i\u003c/i\u003e affixes"}],"publisher":"Monash University","container":{},"publicationYear":2018,"subjects":[{"subject":"200313 Indonesian Languages","subjectScheme":"FOR"},{"subject":"FOS: Languages and literature","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Languages and literature","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"200408 Linguistic Structures (incl. Grammar, Phonology, Lexicon, Semantics)","subjectScheme":"FOR"},{"subject":"200402 Computational Linguistics","subjectScheme":"FOR"},{"subject":"Digital Humanities"},{"subject":"170203 Knowledge Representation and Machine Learning","subjectScheme":"FOR"},{"subject":"FOS: Psychology","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Psychology","subjectScheme":"Fields of Science and Technology (FOS)"}],"contributors":[],"dates":[{"date":"2018-04-13","dateType":"Created"},{"date":"2019-04-12","dateType":"Updated"},{"date":"2018","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":["4816623 Bytes"],"formats":[],"version":null,"rightsList":[{"rights":"Creative Commons Attribution Non Commercial Share Alike 4.0 International","rightsUri":"https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-nc-sa-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"Materials for paper presented at the Twenty-Second International Symposium on Malay/Indonesian Linguistics (ISMIL 22) at the University of California, Los Angeles, USA (11 - 12 May 2018).\u003cbr\u003ePlease cite as:\u003cbr\u003e Rajeg, G. P. W., Denistia, K., \u0026amp; Musgrave, S. (2018, May). \u003ci\u003eSemantic vector space model and the usage patterns of Indonesian denominal verbs with meN-, meN- -kan, and meN- -i affixes\u003c/i\u003e. Presented at the Twenty-Second International Symposium on Malay/Indonesian Linguistics (ISMIL 22), The University of California, Los Angeles. https://doi.org/10.4225/03/5acffc60eb649 \u003cbr\u003e\u003cb\u003eUpdate\u003c/b\u003e\u003cbr\u003eWe have submitted a full-text version of the talk for a special issue on \"Linguistic studies using large annotated corpora\" to appear in \u003ci\u003eNUSA: Linguistic studies of languages in and around Indonesia\u003c/i\u003e\u003ci\u003e \u003c/i\u003e(co-edited by Hiroki Nomoto and David Moeljadi).","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"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","url":"https://bridges.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