Concordance line sorting in the Prime Machine

Stephen Jeaco*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Corpus data provide evidence of the patterning of language, and one way word usage can be analysed is through the study of concordance lines. While popular concordancers provide different sorting methods, they are typically only able to display lines in the order in which they occur in the corpus, randomly, or alphabetically by words in slots to the left or right of the word of interest. Less sophisticated users may find recognising patterns from these orderings quite challenging. This paper considers possible needs of language learners in terms of concordance ranking and introduces two methods which have been adopted and developed for The Prime Machine. The first method uses repeated patterns, measuring the number of matches made with other lines in the set. The second method incorporates collocation scores, providing examples with strong collocations from the entire corpus at the top of sampled concordance lines.

Original languageEnglish
Pages (from-to)284-297
Number of pages14
JournalInternational Journal of Corpus Linguistics
Volume26
Issue number2
DOIs
Publication statusPublished - 14 Jul 2021

Keywords

  • Collocation
  • Concordance line ranking
  • Data-driven learning
  • Lexical patterning

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