1. Introduction Visualization Methods Medieval Corpus
Conclusion Medieval Literature in Modern Times: Visualization
Methods Olga Scrivner Indiana University HASTAC 2015 1 / 24
2. Introduction Visualization Methods Medieval Corpus
Conclusion Merging Digital Humanity and Medieval Collections 20th
century 2 / 24
3. Introduction Visualization Methods Medieval Corpus
Conclusion Merging Digital Humanity and Medieval Collections 20th
century 21th century
http://cosmolearning.org/videos/bayeux-tapestry-animated-version/2
/ 24
4. Introduction Visualization Methods Medieval Corpus
Conclusion Digital Collection Types 1 Collection of scanned images
(Metadata search) http://libwww.freelibrary.org/medievalman/ 3 /
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5. Introduction Visualization Methods Medieval Corpus
Conclusion Digital Collection Types 2 Encoded collection (Text
search) http://www.tei-c.org/release/doc/tei-p5-doc/en/html/MS.html
4 / 24
6. Introduction Visualization Methods Medieval Corpus
Conclusion Digital Humanity Manifesto 2.0 (2009) 1st Wave: The rst
wave of digital humanities work was quantitative, mobilizing the
search and retrieval powers of the database, automating corpus
linguistics, stacking hypercards into critical arrays 2nd Wave: The
second wave is qualitative, interpretive, experiential, emotive,
generative in character, concentrating on new publication models
and tools for creating and curating digital repositories (Berry,
2011) 5 / 24
7. Introduction Visualization Methods Medieval Corpus
Conclusion 3rd Wave (Berry, 2011) Concentration on the
computationality, search, retrieval and analysis originated in
humanity-based work. 6 / 24
8. Introduction Visualization Methods Medieval Corpus
Conclusion Visual Analytics in Literature Visual Analytics - The
science of analytical reasoning facilitated by visual interactive
interfaces (Thomas et all., 2005) Graphs, maps and trees for
literature analysis (Moretti, 2005) 7 / 24
9. Introduction Visualization Methods Medieval Corpus
Conclusion Visual Analytics in Literature Word clouds to analyze a
novel (Vuillemot et al., 2009) 8 / 24
10. Introduction Visualization Methods Medieval Corpus
Conclusion Visual Analytics in Literature Social network graphs of
characters in Greek tragedies (Rydberg-Cox, 2011) 9 / 24
11. Introduction Visualization Methods Medieval Corpus
Conclusion Visual Analytics in Literature Literary ngerprint and
summaries (Oelke et al., 2012) 10 / 24
12. Introduction Visualization Methods Medieval Corpus
Conclusion Visual Analytics in Literature Tracking emotion and
sentiment in fairy tales (Mohammad, 2012) 11 / 24
13. Introduction Visualization Methods Medieval Corpus
Conclusion Goals 1 Make Medieval literature accessible and
interactive 2 Develop methods for multi-level annotation 3 Explore
novel visualization techniques http:
//www.netanimations.net/Moving-picture-treasure-chest-with-shining-gold-animated-gif.gif
12 / 24
14. Introduction Visualization Methods Medieval Corpus
Conclusion Current project - Medieval Occitan Occitan (Provencal)
constitutes an important element of the literary, linguistic, and
cultural heritage in the history of Romance languages 13 / 24
15. Introduction Visualization Methods Medieval Corpus
Conclusion Current project - Medieval Occitan Occitan (Provencal)
constitutes an important element of the literary, linguistic, and
cultural heritage in the history of Romance languages Provencal
poetry is a predecessor of French lyrics Occitan is the only
administrative language in Medieval France, besides Latin
(Belasco,1990) 13 / 24
16. Introduction Visualization Methods Medieval Corpus
Conclusion The 13th century Romance of Flamenca The nest and most
striking example of all medieval romances (Muscatine, 1957) This
romance presents a very intriguing love story between the beautiful
Flamenca, who is imprisoned in a tower by her jealous husband
Archambaut, and the sharp-witted knight Guillem.14 / 24
17. Introduction Visualization Methods Medieval Corpus
Conclusion Corpus Annotation: XML and HTML Interactive online
database with access to a glossary, to translations of verses, and
to comments (Meyer, 1895,1901)
http://nlp.indiana.edu/~obscrivn/Introduction.html 15 / 24
18. Introduction Visualization Methods Medieval Corpus
Conclusion Parallel Alignment: English-Old Occitan 16 / 24
19. Introduction Visualization Methods Medieval Corpus
Conclusion Search Tool ANNIS Annotation levels: word, lemma, part
of speech, syntactic category, speakers, events, emotion,
sentiment, parallel alignment 17 / 24
21. Introduction Visualization Methods Medieval Corpus
Conclusion User-Friendly Query Interface in ANNIS
http://nlp.indiana.edu:8085/annis-gui-3.1.7/19 / 24
22. Introduction Visualization Methods Medieval Corpus
Conclusion Google Charts (GoogleViz R package)
https://code.google.com/p/google-motion-charts-with-r/ 20 / 24
23. Introduction Visualization Methods Medieval Corpus
Conclusion Google Charts mychart < gvisLineChart(df, xvar=event,
yvar=c(positive, negative) plot(mychart)21 / 24
25. Introduction Visualization Methods Medieval Corpus
Conclusion Discussion 1 Which visual analytics techniques can be
applied in your digital projects? 23 / 24
26. Introduction Visualization Methods Medieval Corpus
Conclusion Discussion 1 Which visual analytics techniques can be
applied in your digital projects? 2 How much programming is needed
in Digital Humanity?
http://www.bible-history.com/babylonia/literature.gif 23 / 24
27. Introduction Visualization Methods Medieval Corpus
Conclusion References Mohammad, Saif. 2013. From Once Upon a Time
to Happily Ever After: Tracking Emotions in Novels and Fairy Tales.
In Proceedings of the ACL Workshop on Language Technology for
Cultural Heritage, Social Sciences, and Humanities (LaTeCH), 2011,
Portland, OR. Moretti, Franco. 2005. Graphs, maps, trees: abstract
models for a literary history. R.R. Donnelley & Sons. Oelke,
Daniela, Dimitrios Kokkinakis and Mats Malm. 2012. Advanced Visual
Analytics Methods for Literature Analysis. In Proceedings of the
6th EACL Workshop, 35-44. Rydberg-Cox, Je. 2011. Social Networks
and the Language of Greek Tragedy. Journal of the Chicago
Colloquium on Digital Humanities and Computer Science. 1(3): 1-11.
Thomas, James and Kristin Cook. 2005. Illuminating the Path: the
Research and Development Agenda for Visual Analytics. National
Visualization and Analytics Center. Vuillemot, Romain, Tanya
Clement, Catherine Plaisant and Amit Kumar. 2009. Whats Being Near
Martha? Exploring Name Entities in Literary Text Collections. In
Proceedings if the IEEE Symposium. Atlantic City, New Jersey.
107-114. 24 / 24