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Exploring the Compositionality of German Particle Verbs
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology.
2018 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

In this thesis we explore the compositionality of particle verbs using distributional similarity and pre-trained word embeddings. We investigate the compositionality of 100 pairs of particle verbs with their base verbs. The ranking of our findings are compared to a ranking of human ratings on compositionality. In our distributional approach we use features such as context window size, content words, and only use particle verbs with one word sense. We then compare the distributional approach to a ranking done with pre-trained word embeddings. While none of the results are statistically significant, it is shown that word embeddings are not automatically superior to the more traditional distributional approach.

Place, publisher, year, edition, pages
2018. , p. 33
Keywords [en]
particle verbs, German particle verbs, distributional similarity, word embeddings, compositionality
National Category
Language Technology (Computational Linguistics)
Identifiers
URN: urn:nbn:se:uu:diva-340848OAI: oai:DiVA.org:uu-340848DiVA, id: diva2:1180054
Subject / course
Language Technology
Educational program
Master Programme in Language Technology
Supervisors
Examiners
Available from: 2018-02-05 Created: 2018-02-04 Last updated: 2018-02-05Bibliographically approved

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Language Technology (Computational Linguistics)

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
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  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
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