"Accent Patterns in Tragic Lyric: A Computational Study”
draft chapter from an in-progress monograph
The choral odes of ancient Greek tragedies were originally created as song-and-dance numbers, combining words, music and dance in what ancient critics considered a single medium: choreia. The music for tragic odes was not written down, but my research suggests that the lyric texts themselves preserve hidden information about their melodic settings. Several studies have investigated how linguistic pitch accents are rendered melodically in the ancient songs that survive with music notation, identifying several widespread principles by which composers coordinated the intonation of the lyrics with the sung melody. As part of my on-going research into tragic music, I have created software that can apply these principles to texts preserved without music notation. My work-in-progress is the second chapter of a monograph addressing what this new data can tell us about the musical design of Greek tragedy. In this chapter, I present the results of a computational study of pitch accent patterns in the lyrics of Aeschylus, Sophocles, and Euripides. My preliminary results provide new evidence for the development of early Greek music, and expose several specific patterns relevant to the literary interpretation of Greek tragedy’s lyric texts.
Register here: https://taft.center/3ExhNLK
Anna Conser is a philologist specializing in Greek literature. Her current research focusses on ancient music and performance, Greek drama and lyric poetry, and the digital processing of ancient texts. As part of her first book project, she has developed software tools to analyze the melodic patterning of pitch accents in Greek choral lyric. This new melodic evidence for Greek choral odes allows her to interpret ancient tragedy using approaches borrowed from opera and musical theater. Dr. Conser’s work on performance is informed by extensive experience as a director, composer, and choreographer for modern productions of ancient plays
Patrick J. Burns is Associate Research Scholar, Digital Projects at NYU's Institute for the Study of the Ancient World working in ancient-world data processing and historical language text mining and analysis. Patrick earned his doctorate in Classics from Fordham University in 2016 and has since been active in the area of computational philology. Patrick is the maintainer of the LatinCy, pretrained natural language processing pipelines for Latin, a co-author/developer for LatinBERT, and has been a contributor to the Classical Language Toolkit. Recent publications include "(Re)Active Latin: Computational Chat as Future Colloquia" for the New England Classical Journal looks at the pedagogical implications of using large language models and chatbots in the Latin classroom as well as a blog post "How Much Latin Does ChatGPT "Know"?" exploring the Latin-language training data of OpenAI's popular AI. This year he co-taught a graduate seminar at ISAW on uses of generative artificial intelligence in humanities research.