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From construction candidates to constructicon entries: An experiment using semi-automatic methods for identifying constructions in corpora

Forsberg, Markus, 1974 (author)
Gothenburg University,Göteborgs universitet,Institutionen för svenska språket,Department of Swedish,University of Gothenburg, Gothenburg, Sweden
Johansson, Richard, 1975 (author)
Gothenburg University,Göteborgs universitet,Institutionen för svenska språket,Department of Swedish,University of Gothenburg, Gothenburg, Sweden
Bäckström, Linnéa, 1975 (author)
Gothenburg University,Göteborgs universitet,Institutionen för svenska språket,Department of Swedish,University of Gothenburg, Gothenburg, Sweden
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Borin, Lars, 1957 (author)
Gothenburg University,Göteborgs universitet,Institutionen för svenska språket,Department of Swedish,University of Gothenburg, Gothenburg, Sweden
Lyngfelt, Benjamin, 1968 (author)
Gothenburg University,Göteborgs universitet,Institutionen för svenska språket,Department of Swedish,University of Gothenburg, Gothenburg, Sweden
Olofsson, Joel, 1977 (author)
Gothenburg University,Göteborgs universitet,Institutionen för svenska språket,Department of Swedish,University of Gothenburg, Gothenburg, Sweden
Prentice, Julia, 1977 (author)
Gothenburg University,Göteborgs universitet,Institutionen för svenska språket,Department of Swedish,University of Gothenburg, Gothenburg, Sweden
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 (creator_code:org_t)
2014-08-19
2014
English.
In: Constructions and Frames. - : John Benjamins Publishing Company. - 1876-1933 .- 1876-1941. ; 6:1, 2014, s. 114-135
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • We present an experiment where natural language processing tools are used to automatically identify potential constructions in a corpus. e experiment was conducted as part of the ongoing efforts to develop a Swedish constructicon. Using an automatic method to suggest constructions has advantages not only for efficiency but also methodologically: it forces the analyst to look more objec-tively at the constructions actually occurring in corpora, as opposed to focusing on “interesting” constructions only. As a heuristic for identifying potential con-structions, the method has proved successful, yielding about 200 (out of 1,200) highly relevant construction candidates.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Språkteknologi (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Language Technology (hsv//eng)
HUMANIORA  -- Språk och litteratur -- Jämförande språkvetenskap och allmän lingvistik (hsv//swe)
HUMANITIES  -- Languages and Literature -- General Language Studies and Linguistics (hsv//eng)
HUMANIORA  -- Språk och litteratur -- Studier av enskilda språk (hsv//swe)
HUMANITIES  -- Languages and Literature -- Specific Languages (hsv//eng)

Keyword

Constructicon
natural language processing
construction grammar
corpus
Swedish
construction
language technology
association measure
collocation measure
Constructicon

Publication and Content Type

ref (subject category)
art (subject category)

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