Abstract

Several computational linguistics techniques are applied to analyze a large corpus of Spanish sonnets from the 16th and 17th centuries. The analysis is focused on metrical and semantic aspects. First, we are developing a hybrid scansion system in order to extract and analyze rhythmical or metrical patterns. The possible metrical patterns of each verse are extracted with language-based rules. Then statistical rules are used to resolve ambiguities. Second, we are applying distributional semantic models in order to, on one hand, extract semantic regularities from sonnets, and on the other hand to group together sonnets and poets according to these semantic regularities. Besides these techniques, in this position paper we will show the objectives of the project and partial results.

Highlights

  • Introduction16th- and 17th-Centuries Spanish poetry is judge as one of the best period of the History of Spanish Literature (Rico, 1980 2000; Terry, 1993; Mainer, 2010)

  • We have two general objectives: first, we will try to extract regular patterns from the overall period; and second, in order to analyze each author inside the broad literary context in which they wrote (Garcıa Berrio, 2000), we will look for chains of relationships between them

  • In order to extract the metrical pattern of each verse line, we have created a scansion system for Spanish based on Computational Linguistics techniques

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Summary

Introduction

16th- and 17th-Centuries Spanish poetry is judge as one of the best period of the History of Spanish Literature (Rico, 1980 2000; Terry, 1993; Mainer, 2010). It was the time of great, famous and “canonical” Spanish poets such as Miguel de Cervantes, Lope de Vega, Garcilaso de la Vega or Calderon de la Barca, among others. Due to the importance given to this period, it has been deeply studied by scholars from the 19th century to the present. We are persuaded that new approaches based on a “distant reading” (Moretti, 2007; Moretti, 2013) or “macroanalysis” (Jockers, 2013) framework could shed new light on this period

Corpus compilation and XML annotation
Metrical annotation and analysis
Metrical representation
Scansion system
Semantic analysis
LDA Topic Modeling
Common and regular topics
Cluster of sonnets and poets
Topic timeline
Relations between metrical patterns and semantic topics
Compositional-distributional semantic models
Conclusions

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