Dataset and R Code for "Collocational Predictors of Polysemous Word Disambiguation in Business and General English: A Corpus-Based Study of 'charge,' 'interest,' and 'order'"

This record contains the analysis materials for a corpus-based study of collocational sense disambiguation in three high-frequency polysemous lexemes in Business English: charge, interest, and order. It includes the R script used for sense coding and statistical testing, together with the collocate and cluster frequency tables for the Business and General sub-corpora. Data were derived from 24,369 keyword-in-context lines retrieved from the Corpus of Contemporary American English (COCA, 1990–2019). Only derived frequency data and analysis code are distributed here; full corpus text is not redistributed, in accordance with the terms of use of the source corpus.