1887
Volume 3, Issue 1
  • ISSN 2210-4070
  • E-ISSN: 2210-4097
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Abstract

The manual annotation of large corpora is time-consuming and brings about issues of consistency. This paper aims to demonstrate how general rules for determining basic meanings can be formulated in large-scale projects involving multiple analysts applying MIP(VU) to authentic data. Three sets of problematic lexical units — chemical processes, colours, and sharp objects — are discussed in relation to the question of how the basic meaning of a lexical unit can be determined when human and non-human senses compete as candidates for the basic meaning; these analyses can therefore be considered a detailed case study of problems encountered during step 3.b. of MIP(VU). The analyses show how these problematic cases were tackled in a large corpus clean-up project in order to streamline the annotations and ensure a greater consistency of the corpus. In addition, this paper will point out how the formulation of general identification rules and guidelines could provide a first step towards the automatic detection of linguistic metaphors in natural discourse.
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/content/journals/10.1075/msw.3.1.04dor
2013-01-01
2019-11-17
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References

http://instance.metastore.ingenta.com/content/journals/10.1075/msw.3.1.04dor
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  • Article Type: Research Article
Keyword(s): basic meanings , concrete/abstract , human/non-human , mapping and MIP(VU)
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