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Article published In:
International Journal of Corpus Linguistics
Vol. 26:2 (2021) ► pp.284–297

Concordance line sorting in The Prime Machine

ORCID logo | Xi’an Jiaotong-Liverpool University
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.
Keywords: concordance line ranking, data-driven learning, lexical patterning, collocation
Article outline
  • 1.Introduction
  • 2.Concordance line sorting
    • 2.1Ranking concordance lines using links across texts
    • 2.2Ranking concordance lines using collocations
    • 2.3Combining scores for links across texts and collocations
  • 3.Conclusion
  • Note
  • References
Published online: 7 April 2021
DOI logo
https://doi.org/10.1075/ijcl.18056.jea
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Huo, Jing & Stephen Jeaco
2024. Using The Prime Machine to Untangle the Patterns of Academic Paraphrases. In English for Academic Purposes in the EMI Context in Asia, ► pp. 301 ff. DOI logo

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