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PoetryLab. An Open Source Toolkit for the Analysis of Spanish Poetry Corpora
- Author(s):
- Javier de la Rosa (see profile) , Elena González-Blanco, Álvaro Pérez, Salvador Ros
- Date:
- 2020
- Group(s):
- DH2020, Digital Humanists
- Subject(s):
- Natural language processing (Computer science), Poetry, Rhetoric
- Item Type:
- Presentation
- Meeting Title:
- Digital Humanities 2020 Virtual Conference
- Meeting Org.:
- Carleton University and the University of Ottawa
- Meeting Loc.:
- Virtual Conference
- Meeting Date:
- July 20-24, 2020
- Tag(s):
- Infrastructure, Natural language processing
- Permanent URL:
- http://dx.doi.org/10.17613/rsd8-we57
- Abstract:
- The study of the poetic features of text, especially their rhythmic structure when forming verses, pertains to the different traditions, whose scholars established the rules that might govern poetry. Within this context, the POSTDATA Project formalized a network of ontologies able to express any poetic expression and its analysis at the European level, enabling scholars all over Europe to interchange their data using Linked Open Data. However, varied research interests result in corpora that might not share the same facets of an analysis. To alleviate this concern and foster the completeness of the interchanged corpora, our team set out to build a software toolkit to assist in the analysis of poetry. This paper introduces PoetryLab, an extensible open source toolkit for syllabification, scansion (extraction of stress patterns), enjambment detection (syntactical units split in two lines), rhyme detection, and historical named entity recognition for Spanish poetry. Our toolkit achieves state of the art performance in the tasks for which reproducible alternatives exist.
- Metadata:
- xml
- Status:
- Published
- Last Updated:
- 3 years ago
- License:
- Attribution
dh2020-poetrylab-presentation.pptx