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Hur påverkar lemmatisering, justerings- och utvärderingsmetod Word2Vec-modellers prestation i automatisk detektion av lexikal semantisk förändring?
Stockholm University, Faculty of Humanities, Department of Linguistics.
2026 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
How do lemmatisation, alignment and evaluation method impact the performance of Word2Vec-models in automatic detection of lexical semantic change? (English)
Place, publisher, year, edition, pages
2026.
Keywords [sv]
lexikal semantisk förändring, Word2Vec, Ortogonal Procrustes, ordinjektion, ordrumsmodell, cosinusavstånd
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Comparative Language Studies and Linguistics
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URN: urn:nbn:se:su:diva-256726OAI: oai:DiVA.org:su-256726DiVA, id: diva2:2071772
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Available from: 2026-06-16 Created: 2026-06-14 Last updated: 2026-06-16Bibliographically approved

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