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Thema&c features for intertextual analysis Digital Classicist Seminar Berlin 10.13.2015 Christopher W. Forstall, cforstall@gmail.ch Lavinia Galli Mili, lavinia.gallimilic@unige.ch Damien Nelis, damien.nelis@unige.ch Intertextuality:


  1. Thema&c features for intertextual analysis Digital Classicist Seminar Berlin 10.13.2015 Christopher W. Forstall, cforstall@gmail.ch Lavinia Galli Milić, lavinia.gallimilic@unige.ch Damien Nelis, damien.nelis@unige.ch

  2. Intertextuality: plus quam verba D. Bamman and G. Crane. “The logic and discovery of textual allusion.” Paper presented at the Second Workshop on Language Technology for Cultural Heritage Data (LaTeCH 2008), Marrakesh, Morocco. D. Bamman. “Intertextuality beyond Words”, blog posted on February 17, 2014 on the website hWp://tesserae.caset.buffalo.edu N. Coffee, J.-P. Koenig, S. Poornima, R. Ossewaarde, C. Forstall, and S. Jacobson. “Intertextuality in the Digital Age.” Transac;ons of the American Philological Associa;on 142.2 (2012): 318-419. Ongoing work by Memorata Poebs and eTRAP

  3. Verbal text re-use and digital tools : Searching for words Boolean searching - Musisque deoque hWp://www.mqdq.it/mqdq/home.jsp - PHI (Packard Humani;es Ins;tute) hWp://labn.packhum.org/ - Bibliotheca Teubneriana La;na hWp://www.degruyter.com/view/db/btl - Brepolis LLT-A / LLT-B hWp://apps.brepolis.net/BrepolisPortal/default.aspx

  4. Verbal text re-use and digital searching : Comparing texts • Comparing one text to many Musisque deoque hWp://www.mqdq.it/mqdq/cooccorrenze.jsp • Comparing two texts Tesserae hWp://tesserae.caset.buffalo.edu/index.php TLG hWp://stephanus.tlg.uci.edu/Iris/inst/ngram.jsp • Comparing two texts against the rest of the corpus Tesserae (mulb-text search) hWp://tesserae.caset.buffalo.edu/mulb-text.php

  5. Tesserae • Goals include both – Detecbon of allusions, as in commentaries – Developing general model of intertextuality • Current featuresets – Principally word-based (incl. lemmata) • Experimental featuresets – Semanbcally related lemmata – Character-level n-grams – Paragraph-level themes

  6. Test case I: intertextuality and genre in Sta&us’ Achilleid • How does Stabus deploy allusions to epic and elegiac sources in book 1 of the Achilleid ? • Is the tone of the source text relevant to readers of the later, alluding text? • Does Stabus’ work itself contain “epic” and “elegiac” passages? • If so, what relabonship does the later, alluding context bear to the source context?

  7. Excursus: Digital Humani&es in the classroom Masters seminar on Stabus’ Achilleid at University of Geneva 8 students • Tradibonal exegebcal work, • translabon Data collecbon from • commentaries Work with digital tools (Tesserae) • • Each session began with 15 minute summary of work in progress • Online incremental reports appeared (belatedly) on Tesserae research blog hWp://tesserae.caset.buffalo.edu/blog/

  8. Stylis&c markers for genre, I Corpus Elegies Epics Ovid Amores Vergil Aeneid Ovid Ars Amatoria Ovid Metamorphoses Ovid Remedia Stabus Thebaid Ovid Heroides Stabus Achilleid Feature Set • 21,000 term frequencies • Principal Components Analysis Sample Size • Whole texts

  9. Stylis&c markers for genre, I

  10. Stylis&c markers for genre, II Corpus Elegies Epics Tibullus Elegies Vergil Aeneid Properbus Elegies Ovid Metamorphoses Ovid Amores Lucan Civil War Ovid Ars Amatoria Stabus Thebaid Ovid Remedia Stabus Achilleid Ovid Heroides Silius Italicus Punica Valerius Flaccus Argonau;ca Feature Set • 2,000 term frequencies (beginning from rank 51) • Principal Components Analysis Sample Size • 50 (consecubve) verse lines

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