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4 - Representation and Serialization

from Part I - Fundamentals

Published online by Cambridge University Press:  05 August 2023

Kiyong Lee
Affiliation:
Korea University, Seoul
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Summary

This chapter introduces a concrete syntax. It is ideally isomorphic to an abstract syntax that specifies a semantic annotation scheme, while providing a format for representing annotation structures. This format can represent them either in a serialized way from left to right, or in graphic images or tabular forms with linking arrows. Representation formats may vary, depending on kinds of the use of annotation. Human readers, for instance, prefer tabular formats especially for illustrations or demonstrations. For the purposes of merging, comparing, or exchanging various types of annotations or different annotations of the same type, graphs are considered useful. In this chapter, I introduce a graphic annotation format, called GrAF, for linguistic annotation. For the construction of larger corpora, however, there are practical computing reasons to prefer a serialization of annotations. For the serialized representation of annotation structures, this chapter mainly discusses two formats: (i) XML and (ii) pFormat, a predicate-logic-like representation format, which represents annotation structures in a strictly serial (linear) manner by avoiding embedded structures.

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Publisher: Cambridge University Press
Print publication year: 2023

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  • Representation and Serialization
  • Kiyong Lee, Korea University, Seoul
  • Book: Annotation-Based Semantics for Space and Time in Language
  • Online publication: 05 August 2023
  • Chapter DOI: https://doi.org/10.1017/9781108884532.007
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  • Representation and Serialization
  • Kiyong Lee, Korea University, Seoul
  • Book: Annotation-Based Semantics for Space and Time in Language
  • Online publication: 05 August 2023
  • Chapter DOI: https://doi.org/10.1017/9781108884532.007
Available formats
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Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Representation and Serialization
  • Kiyong Lee, Korea University, Seoul
  • Book: Annotation-Based Semantics for Space and Time in Language
  • Online publication: 05 August 2023
  • Chapter DOI: https://doi.org/10.1017/9781108884532.007
Available formats
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