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Discourse analysis may seek to characterize not only the overall compositionof a given text but also the dynamic patterns within the data. This technicalreport introduces a data format intended to facilitate multi-levelinvestigations, which we call the by-word long-form or B(eo)W(u)LF. Inspired bythe long-form data format required for mixed-effects modeling, B(eo)W(u)LFstructures linguistic data into an expanded matrix encoding any number ofresearchers-specified markers, making it ideal for recurrence-based analyses.While we do not necessarily claim to be the first to use methods along theselines, we have created a series of tools utilizing Python and MATLAB to enablesuch discourse analyses and demonstrate them using 319 lines of the Old Englishepic poem, Beowulf, translated into modern English.

B(eo)W(u)LF: Facilitating recurrence analysis on multi-level language