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Analyzing Co-occurrence Data

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Abstract

In this chapter, we provide an overview of quantitative approaches to co-occurrence data. We begin with a brief terminological overview of different types of co-occurrence that are prominent in corpus-linguistic studies and then discuss the computation of some widely-used measures of association used to quantify co-occurrence. We present two representative case studies, one exploring lexical collocation and learner proficiency, the other creative uses of verbs with argument structure constructions. In addition, we highlight how most widely-used measures actually all fall out from viewing corpus-linguistic association as an instance of regression modeling and discuss newer developments and potential improvements of association measure research such as utilizing directional measures of association, not uncritically conflating frequency and association-strength information in association measures, type frequencies, and entropies.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.University of California, Santa BarbaraSanta BarbaraUSA
  2. 2.Justus Liebig University GiessenGiessenGermany

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