@InProceedings{baumann-meyersickendiek:2016:LT4DH,
  author    = {Baumann, Timo  and  Meyer-Sickendiek, Burkhard},
  title     = {Large-scale Analysis of Spoken Free-verse Poetry},
  booktitle = {Proceedings of the Workshop on Language Technology Resources and Tools for Digital Humanities (LT4DH)},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {125--130},
  abstract  = {Most modern and post-modern poems have developed a post-metrical idea of
	lyrical prosody that employs rhythmical features of everyday language and prose
	instead of a strict adherence to rhyme and metrical schemes. This development
	is subsumed under the term free verse prosody. We present our methodology for
	the large-scale analysis of modern and post-modern poetry in both their written
	form and as spoken aloud by the author. We employ language processing tools to
	align text and speech, to generate a null-model of how the poem would be spoken
	by a na\"{i}ve reader, and to extract contrastive prosodic features used by the
	poet. On these, we intend to build our model of free verse prosody, which will
	help to understand, differentiate and relate the different styles of free verse
	poetry. We plan to use our processing scheme on large amounts of data to
	iteratively build models of styles, to validate and guide manual style
	annotation, to identify further rhythmical categories, and ultimately to
	broaden our understanding of free verse poetry. In this paper, we report on a
	proof-of-concept of our methodology using smaller amounts of poems and a
	limited set of features. We find that our methodology helps to extract
	differentiating features in the authors' speech that can be explained by
	philological insight. Thus, our automatic method helps to guide the literary
	analysis and this in turn helps to improve our computational models.},
  url       = {http://aclweb.org/anthology/W16-4017}
}