Automatically extracting the source words of English lexical blends
dc.contributor.advisor
Goldwater, Sharon
en
dc.contributor.advisor
Deoskar, Tejaswini
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dc.contributor.author
Kosinowski, Hanne
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dc.date.accessioned
2014-03-20T12:18:34Z
dc.date.available
2014-03-20T12:18:34Z
dc.date.issued
2012-11-28
dc.description.abstract
Language changes constantly – new words are created on a daily basis. This
thesis examines blends in English, a highly productive word formation process
where two words are combined to form a new word with a new meaning. In
order to allow natural language processing system to handle blends, I present a
system that automatically extracts the words comprising the blend using a set
of statistical features. Using the features on a corpus consisting of 2236 blends
and a logistic regression classifier, I obtain a 50% accuracy on the gold standard.
So far, this is the largest corpus of blends used for this task. I compare the
results to previous work and provide solutions on how to improve the system’s
performance.
en
dc.identifier.uri
http://hdl.handle.net/1842/8470
dc.language.iso
en
dc.publisher
The University of Edinburgh
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dc.subject
Language Processing
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dc.subject
Blends
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dc.title
Automatically extracting the source words of English lexical blends
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dc.type
Thesis or Dissertation
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dc.type.qualificationlevel
Masters
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dc.type.qualificationname
MSc Master of Science
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dcterms.accessRights
RESTRICTED ACCESS
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