ONLINE SCANSION TOOL SOFTWARE
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if a syllable is stressed more than one of its neighbouring words and at least as much stress as the other neighbouring word then it is upgraded (coded as 1).

To determine the meter for as many syllables as possible the following rules are applied:

With this information of stress per word we do not have the meter yet, among other things because many words consist of one syllable.

if a word ends in a vowel, while its follow-up starts with a consonant, then these two syllables are seen as one syllable with the stress on the highest weighted syllable of the two syllables involved.

by means of an apostrophe left out syllables do not count.

This stress information is determined on the basis of the Celex information in combination with the following heuristics: apply these two rules, but only if the resulting meter lies closer (in the Levenshtein sense) to the ideal pattern of meter: There are four weight classes for syllables: heavy, light, unstressed and unknown. For any given line of verse firstly the relative weight of the syllables in the individual words is determined. The meter is coded internally as a string of ones and zeroes.

A 0 means unstressed, while a 1 means stressed. In the long run, our tool will be hosted by the German website, and will be accessible for university teaching and research in a sustainable way.Simply paste in the Dutch poem you wish to process and click 'Submit'. The meter is represented as zeroes and ones.

ONLINE SCANSION TOOL FREE

In a similar way, our study of rhythmical patterns will help to identify poetic forms in free verse prosody and detect influences such as that of American free verse on modern and postmodern German writers. In traditional poetry, metrical patterns such as pentameter or hexameter are used to identify poetic forms (for instance the elegiac couplet) or influences (for instance the influence of ancient Greek poetry on eighteenth-century German writers).

ONLINE SCANSION TOOL SOFTWARE

Our aim is to develop a methodology and a software tool for prosody detection and formal corpus analysis, tailored to written and spoken modern free verse poetry.

Then the digital sub-project will develop an automatic pattern recognition tool, based on machine learning techniques, that is then capable of analyzing further material.

In a first step, the philological sub-project will define rhythmical patterns based on a comparison of the textual line arrangement with the prosodic phrasing of the poet’s voice. Making use of the vastly improved prosody detection available in speech processing technology today, we will identify rhythmical features through methods including phrase break prediction, prosodic phrasing, spoken document analysis, and fluency/disfluency modeling. To this end, we examine the four major online portals for spoken poetry. Our project, funded by the Volkswagenstiftung since January 2017, will test this theory by applying digital pattern recognition techniques to a corpus of modern and postmodern poems as read aloud by the original authors. Does this, however, mean that they lack any rhythmical features? According to US research on free verse prosody, the opposite is true: modern poets like Whitman, the Imagists, the Beat poets, and contemporary Slam poets developed a post-metrical idea of prosody that employs rhythmical features of everyday language, prose, and musical styles including jazz and hip hop. At least 80 per cent of modern and postmodern poems have neither rhyme nor metrical schemes such as iambic or trochaic meter.

Online scansion tool