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Norwegian Open Research Archives
Part of book or chapter of book . 2010
https://doi.org/10.63317/3c35d...
Article . 2010 . Peer-reviewed
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Enhancing Language Resources with Maps

Authors: Johannessen, Janne Bondi; Hagen, Kristin; Nøklestad, Anders; Priestley, Joel;

Enhancing Language Resources with Maps

Abstract

We will look at how maps can be integrated in research resources, such as language databases and language corpora. By using maps, search results can be illustrated in a way that immediately gives the user information that words or numbers on their own would not give. We will illustrate with two different resources, into which we have now added a Google Maps application: The Nordic Dialect Corpus (Johannessen et al. 2009) and The Nordic Syntactic Judgments Database (Lindstad et al. 2009). We have integrated Google Maps into these applications. The database contains some hundred syntactic test sentences that have been evaluated by four speakers in more than hundred locations in Norway and Sweden. Searching for the evaluations of a particular sentence gives a list of several hundred judgments, which are difficult for a human researcher to assess. With the map option, isoglosses are immediately visible. We show in the paper that both with the maps depicting corpus hits and with the maps depicting database results, the map visualizations actually show clear geographical differences that would be very difficult to spot just by reading concordance lines or database tables. Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10), pages 1081-1088. Published with the permission of ELRA. This paper was published within the proceedings of the LREC 2008 and LREC 2012 Conferences. © 2008-2012 ELRA - European Language Resources Association. All rights reserved.

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Norway
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Keywords

410, 004

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green