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Multivariate modeling of the collaboration between Luigi Illica and Giuseppe Giacosa for the librettos of three operas by Giacomo Puccini

机译:路易吉·伊利卡(Luigi Illica)和朱塞佩·贾科萨(Giuseppe Giacosa)合作制作的三幅歌剧的歌词的多变量建模

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摘要

This article explores the collaboration between the two Italian poets Luigi Illica and Giuseppe Giacosa that led to the librettos of three operas by Giacomo Puccini: La Boheme, Tosca, and Madama Butterfly. We used non-traditional authorship attribution methods (such as principal component analysis) and pattern recognition methods (such as partial least-squares discrimination analysis) to investigate whether traces of the two authors' personal writing styles could be highlighted in the final output of their collaboration. Working in a closed authorship attribution problem framework, we show that the influence of Luigi Illica on the versification of these librettos and their general poetic tone may be even greater than suggested by recent traditional scholarly studies. Vocabulary analysis carried in a natural language processing framework suggests that Illica contributed not only (and perhaps not mainly) to the drama but also significantly to the poetic tone of the librettos. Novel directions in Puccini scholarly research emerge from the results of our computational approach to the Illica-Giacosa collaboration.
机译:本文探讨了两位意大利诗人路易吉·伊利卡(Luigi Illica)和朱塞佩·贾科萨(Giuseppe Giacosa)之间的合作,这些合作导致贾科莫·普契尼(Giacomo Puccini)创作了三部歌剧的专辑:拉波西米(La Boheme),托斯卡(Tosca)和蝴蝶夫人(Madama Butterfly)。我们使用非传统作者身份归属方法(例如主成分分析)和模式识别方法(例如偏最小二乘歧视分析)来调查两位作者的个人写作风格的痕迹是否可以在他们的最终输出中突出显示合作。在一个封闭的作者身份归因问题框架中进行研究,我们表明,路易吉·伊利卡对这些libretto的版本化及其一般诗情的影响可能甚至比最近的传统学术研究所建议的还要大。在自然语言处理框架中进行的词汇分析表明,伊利卡不仅(也许不是主要地)对戏剧做出了贡献,而且对librettos的诗意基调也做出了重大贡献。普契尼学术研究的新方向来自我们对伊利卡-贾科萨(Illica-Giacosa)合作的计算方法的结果。

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  • 来源
    《Literary & linguistic computing》 |2015年第3期|405-422|共18页
  • 作者单位

    Univ Wageningen & Res Ctr, Lab Syst & Synthet Biol, NL-6703 HB Wageningen, Netherlands|Univ Amsterdam, Biosyst Data Anal Grp, NL-1098 XH Amsterdam, Netherlands;

    FiorGen Fdn, I-50019 Florence, Italy;

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  • 入库时间 2022-08-18 00:36:40

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