Workshopbeitrag
Analysis and Classification of Prosodic Styles in Post-modern Spoken Poetry
Lade...
Volltext URI
Dokumententyp
Text/Workshop Paper
Zusatzinformation
Datum
2018
Autor:innen
Zeitschriftentitel
ISSN der Zeitschrift
Bandtitel
Quelle
Verlag
Gesellschaft für Informatik e.V.
Zusammenfassung
We present our research on computer-supported analysis of prosodic styles in post-modern poetry. Our
project is unique in making use of both the written as well as the spoken form of the poem as read by
the original author. In particular, we use speech and natural language processing technology to align
speech and text and to perform textual analyses. We then explore, based on literary theory, the quantitative
value of various types of features in dierentiating various prosodic classes of post-modern poetry using
machine-learning techniques. We contrast this feature-driven approach with a theoretically less informed
neural networks-based approach and explore the relative strengths of both models, as well as how to
integrate higher-level knowledge into the NN. In this paper, we give an overview of our project, our
approach, and particularly focus on the challenges encountered and lessons learned in our interdisciplinary
endeavour. The classification results of the rhythmical patterns (six classes) using NN-based approaches
are better than by feature-based approaches.