Abstract
We present a finite state technology based system capable of performing metrical scansion of verse written in English. Scansion is the traditional task of analyzing the lines of a poem, marking the stressed and non-stressed elements, and dividing the line into metrical feet. The system's workflow is composed of several subtasks designed around finite state machines that analyze verse by performing tokenization, part of speech tagging, stress placement, and unknown word stress pattern guessing. The scanner also classifies its input according to the predominant type of metrical foot found. We also present a brief evaluation of the system using a gold standard corpus of human-scanned verse, on which a per-syllable accuracy of 86.78% is reached. The program uses open-source components and is released under the GNU GPL license.
Highlights
Scansion is a well-established form of poetry analysis which involves marking the prosodic meter of lines of verse and possibly dividing the lines into feet
We present ZeuScansion, an FSTbased software tool for performing this task for English poetry, and provide a brief evaluation of its performance on a gold standard corpus of poetry in various meters
If we provide Shakespeare’s Sonnets as input, ZeuScansion’s global analysis concludes it to be written in iambic pentameter: Syllable stress _'_'_'_'_' Meter: Iambic pentameter
Summary
The analysis of rhythmic structure in verse. We discuss some of the immediate obstacles that have to be overcome to provide accurate annotations of rhythm and stress. 4 Double iamb: two unstressed syllables and two stressed syllables [--'']
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