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Article published In:
International Journal of Corpus Linguistics
Vol. 22:4 (2017) ► pp.551–582

Multi-word discourse markers and their corpus-driven identification

The case of MWDM extraction from the reference corpus of spoken Slovene

 | University of Ljubljana | Trojina, Institute for Applied Slovene Studies
With expanding evidence on the formulaic nature of human communication, there is a growing need to extend discourse marker research to functionally analogue multi-word expressions. In contrast to the common qualitative approaches to discourse marker identification in corpora, this paper presents a corpus-driven semi-automatic approach to identification of multi-word discourse markers (MWDMs) in the reference corpus of spoken Slovene. Using eight statistical measures, we identified 173 structurally fixed discourse-marking MWEs, distinguished by a high number of tokens, a large proportion of grammatical words and semantic heterogeneity. This is a significantly longer list than would have been gained by manual inspection of smaller corpus samples. Although frequency-based methods produced satisfactory results, best precision in MWDM identification was achieved using the t-score association measure, while the overall poor performance of the mutual information suggests its inadequacy for extraction of MWDMs and other MWEs with similar lexical and distributional features.
Keywords: discourse markers, multi-word units, collocation extraction, association measures, spoken corpora
Article outline
  • 1.Introduction
  • 2.Multi-word discourse markers
    • 2.1Related research on discourse-marking multi-word expressions
    • 2.2Multi-word discourse markers in this study
  • 3.Statistical methods for MWE identification in corpora
  • 4.Aims, data and methodology
    • 4.1The GOS corpus
    • 4.2N-gram extraction
    • 4.3N-gram ranking
      • 4.3.1Selected frequency-based measures
      • 4.3.2Selected association-based measures
      • 4.3.3Comparability of selected measures
    • 4.4MWDM identification
    • 4.5MWDM classification
  • 5.Results
    • 5.1Features of identified MWDMs
    • 5.2Comparison of statistical methods
    • 5.3Comparison of statistical and manual methods
  • 6.Discussion and conclusions
  • Acknowledgements
  • Notes
  • References
Published online: 1 December 2017
DOI logo
https://doi.org/10.1075/ijcl.16127.dob
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