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<!doctype html>
<html lang="en">
<head>
<meta charset="utf-8">
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<title>Computerphilologie</title>
<meta name="author" content="Christof Schöch">
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<meta name="description" content="Slides">
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<body>
<div class="reveal">
<!-- THIS IS WHERE THE CONTENT GOES! -->
<!-- Any section element inside of this container is displayed as a slide -->
<div class="slides">
<section data-markdown>
<script type="text/template">
# Computerphilologie: Überblick
<hr/>
<br/>
<p>Workshop Digitale Forschungsmethoden in der Romanistik</p>
<p>Forum Junge Romanistik 2016, Universität Würzburg</p>
<br/>
<hr/>
<p>Christof Schöch<br/>CLiGS - Universität Würzburg</p>
<p><img height="50" data-src="img/basics/UWUE.jpg"></img> <img height="100" data-src="img/basics/CLiGS.jpg"></img> <img height="50" data-src="img/basics/BMBF.jpg"></img></p>
</script>
</section>
<section data-markdown>
<script type="text/template">
## Überblick
1. Computerphilologie
2. Texterzeugung
3. Textanalyse
4. Weiterführendes
</script>
</section>
<section>
<section data-markdown>
<script type="text/template">
# 1. Was ist Computerphilologie?
</script>
</section>
<section data-markdown>
<script type="text/template">
## Verortung der Computerphilologie
<p><img height="500" data-src="img/verortung.jpg"></img></p>
</script>
</section>
<section data-markdown>
<script type="text/template">
## Computerphilologie
* Literaturwissenschaft: Erfassen, Erzeugen, Anreichern, Analyse, Interpretation, Speicherung und Dissemination von (literarischen) Texten
* Computerphilologie: Literaturwissenschaft auf Grundlage digitaler Textdaten und mit Hilfe algorithmischer Werkzeuge und Methoden.
<p><small>(Taxonomie: https://github.com/dhtaxonomy/TaDiRAH)</small></p>
</script>
</section>
<section data-markdown>
<script type="text/template">
## Zwei zentrale Bereiche der Computerphilologie
* Erzeugen/Anreichern: Digitalisierung, (digitale) Editionen, Textsammlungen, Korpora
* Analysieren: Stil, Inhalt, Räumlichkeit, Figurennetzwerke, Gattungen, etc.
</script>
</section>
</section>
<section>
<section data-markdown>
<script type="text/template">
# 2. Erzeugen/Anreichern literarischer Texte
</script>
</section>
<section data-markdown>
<script type="text/template">
## Aspekte des Erzeugens/Anreichern von Text
* Digitalisierung (Scannen, OCR)
* Digitale Texteditionen und Textsammlungen
* Linguistisch annotierte Korpora
* Editionsphilologie: Stemmata, Kollationierung
</script>
</section>
<section data-markdown>
<script type="text/template">
## Editionen
</script>
</section>
<section data-markdown>
<script type="text/template">
## Walt Whitman Archive
<img height="500" data-src="img/waltwhitman.png"></img>
<p>http://www.whitmanarchive.org/</p>
</script>
</section>
<section data-markdown>
<script type="text/template">
## Devonshire MS Social Edition
<img height="500" data-src="img/devonshire.png"></img>
<p>https://en.wikibooks.org/wiki/The_Devonshire_Manuscript</p>
</script>
</section>
<section data-markdown>
<script type="text/template">
## Van Gogh Letters
<img height="500" data-src="img/vangogh.png"></img>
<p>http://vangoghletters.org/vg/</p>
</script>
</section>
<section data-markdown>
<script type="text/template">
## Moralische Wochenschriften
<img height="500" data-src="img/mws.png"></img>
<p>http://gams.uni-graz.at/mws/</p>
</script>
</section>
<section data-markdown>
<script type="text/template">
## Faust-Edition
<img height="500" data-src="img/faustedition.png"></img>
<p>http://beta.faustedition.net</p>
</script>
</section>
<section data-markdown>
<script type="text/template">
## Werkzeuge
</script>
</section>
<section data-markdown>
<script type="text/template">
## Optical Character Recognition: FineReader
<img height="500" data-src="img/finereader.png"></img>
<p>http://www.abbyy.com/de-de/finereader</p>
</script>
</section>
<section data-markdown>
<script type="text/template">
## Text kodieren: TEI
<img height="500" data-src="img/tei.png"></img>
<p>https://www.tei-c.org</p>
</script>
</section>
<section data-markdown>
<script type="text/template">
## XML/TEI-Dateien bearbeiten: oXygen
<img height="500" data-src="img/oxygen.png"></img>
<p>https://www.oxygenxml.com</p>
</script>
</section>
<section data-markdown>
<script type="text/template">
## XML/TEI-Dateien bearbeiten: jEdit
<img height="500" data-src="img/jedit.png"></img>
<p>http://www.jedit.org/</p>
</script>
</section>
<section data-markdown>
<script type="text/template">
## Annotation: CATMA</h3>
<img height="500" data-src="img/TA_CATMA.jpg"></img>
<p><a href="http://www.catma.de/">http://www.catma.de/</a></p>
</script>
</section>
<section data-markdown>
<script type="text/template">
## Kollationierung: Juxta
<img height="500" data-src="img/TA_Juxta.jpg"></img>
<p>http://www.juxtasoftware.org</p>
</script>
</section>
</section>
<section>
<section data-markdown>
<script type="text/template">
# 3. Analyse literarischer Texte
</script>
</section>
<section data-markdown>
<script type="text/template">
## Perspektiven der digitalen Textanalyse
* Quantitative vs. qualitative Verfahren
* Klassifikation vs. Clustering
* Informationsextraktion vs. Datenvisualisierung
* GUI vs. CLI
</script>
</section>
<section data-markdown>
<script type="text/template">
## Arbeitsbereiche
* Autorschaftsattribution
* Gattungsstilistik
* Figurennetzwerke
* Inhaltsanalyse (Begriffe, Topics)
* Automatische Kartierung
* Extraktion von Zeitstrukturen
* Erkennung narratologischer Kategorien
* uvm.
</script>
</section>
<section data-markdown>
<script type="text/template">
## Werkzeuge
</script>
</section>
<section data-markdown>
<script type="text/template">
## Natural Language Processing: NLTK
<img height="500" data-src="img/nltk.png"></img>
<p>http://www.nltk.org</p>
</script>
</section>
<section data-markdown>
<script type="text/template">
## Maschinelles Lernen: scikit-learn
<img height="500" data-src="img/sklearn.png"></img>
<p>http://scikit-learn.org</p>
</script>
</section>
<section data-markdown>
<script type="text/template">
## Korpusanalyse: TXM
<img height="500" data-src="img/TA_TXM.jpg"></img>
<p>http://textometrie.ens-lyon.fr</p>
</script>
</section>
<section data-markdown>
<script type="text/template">
## Topic Modeling: MALLET
<img height="500" data-src="img/TA_Mallet.png"></img>
<p>http://mallet.cs.umass.edu/topics.php</p>
</script>
</section>
<section data-markdown>
<script type="text/template">
## Stilometrie: stylo for R
<img height="500" data-src="img/stylo.png"></img>
<p>https://sites.google.com/site/computationalstylistics/</p>
</script>
</section>
<section data-markdown>
<script type="text/template">
## Netzwerkanalyse: Gephi
<img height="500" data-src="img/gephi.jpg"></img>
<p>https://gephi.org/</p>
</script>
</section>
<section data-markdown>
<script type="text/template">
## Kartierung: DARIAH Geobrowser
<img height="500" data-src="img/geobrowser.png"></img>
<p>https://de.dariah.eu/geobrowser</p>
</script>
</section>
</section>
<section>
<section data-markdown>
<script type="text/template">
# 4. Weiterführendes
</script>
</section>
<section data-markdown>
<script type="text/template">
## Lektürehinweise (einführend)
<small>
* Jannidis, F. (2010). "Methoden der computergestützten Textanalyse". In Nünning, A. and Nünning, V. (eds), _Methoden der literatur- und kulturwissenschaftlichen Textanalyse_. Stuttgart & Weimar: Metzler, pp. 109–32.
* Jannidis, F. (2007). "Computerphilologie". In Anz, T. (ed), _Handbuch Literaturwissenschaft_, vol. 2 (Methoden und Theorien). Stuttgart: Metzler, pp. 27–40.
* Schöch, C. (im Erscheinen). "Ein digitales Textformat für die Literaturwissenschaften. Die Richtlinien der Text Encoding Initiative und ihr Nutzen für Textedition und Textanalyse". _Romanische Studien_.
</small>
</script>
</section>
<section data-markdown>
<script type="text/template">
## Lektürehinweise (vertiefend)
<small>
* Burnard, L. (2014). _What Is the Text Encoding Initiative?_. Marseille: OpenEdition Press.
* Shillingsburg, P. (2006). _From Gutenberg to Google. Electronic Representations of Literary Texts_. Cambridge: Cambridge Univ. Press.
* Alpaydin, E. (2010). _Introduction to Machine Learning_. 2nd ed. Cambridge, Mass: MIT Press.
* Ramsay, S. (2011). _Reading Machines : Toward an Algorithmic Criticism_. Urbana Ill.: University of Illinois Press.
</small>
</script>
</section>
<section data-markdown>
<script type="text/template">
## Online-Ressourcen
<small>
* Catalogue of Digital Scholarly Editions: http://www.digitale-edition.de/index.html
* Textdaten Romanistik Wiki: http://wikis.fu-berlin.de/display/tdr/
* Doing Digital Humanities Bibliography: https://www.zotero.org/groups/doing_digital_humanities_-_a_dariah_bibliography
</small>
</script>
</section>
</section>
<section data-markdown>
<script type="text/template">
<br/>
<br/>
<br/>
<br/>
<p>Christof Schöch, 2016</p>
<p>http://www.christof-schoech.de</p>
<hr/>
<p>Lizenz: Creative Commons Attribution 4.0 International</p>
<p>https://creativecommons.org/licenses/by/4.0/</p>
</script>
</section>
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