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- 20. Oktober 2015
- 20. Oktober 2015
2015 DH Estonia – Text Reuse Hackathon
Overview
- What is text reuse?
- Aspects of text reuse
- ACID for the Digital Humanities
- Big (Humanities) Data
- Language Model
Introduction to Historical Text Reuse Detection Marco Bchler, Emily - - PowerPoint PPT Presentation
Introduction to Historical Text Reuse Detection Marco Bchler, Emily - - PowerPoint PPT Presentation
Introduction to Historical Text Reuse Detection Marco Bchler, Emily Franzini, Greta Franzini, Maria Moritz eTRAP Research Group Gttingen Centre for Digital Humanities Institute of Computer Science Georg August University Gttingen, Germany
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- 20. Oktober 2015
2015 DH Estonia – Text Reuse Hackathon
My interests :)
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- 20. Oktober 2015
2015 DH Estonia – Text Reuse Hackathon
What do you associate with text reuse/intertextuality?
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- 20. Oktober 2015
2015 DH Estonia – Text Reuse Hackathon
Typical expectation of a computer scientist: oversimplification
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- 20. Oktober 2015
2015 DH Estonia – Text Reuse Hackathon
Expectations of a humanists: oversimplification
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- 20. Oktober 2015
2015 DH Estonia – Text Reuse Hackathon
Text Reuse for Humanities and Computer Science
- Question: Why is Text Reuse so relevant for Humanities and Computer
Science?
- Premise: The amount of digitally available data is growing exponentially (Big
Data)
- Humanities:
– Lines of transmission and textual criticism – Transmissions of ideas/thoughts under different circumstances and conditions
- Computer Science:
– Text Decontamination for stylometry and authorship attribution, dating of texts – gen. Text Mining, Corpus Linguistics
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- 20. Oktober 2015
2015 DH Estonia – Text Reuse Hackathon
Temperature Map
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- 20. Oktober 2015
2015 DH Estonia – Text Reuse Hackathon
Respect to the topic
- ACID for the Digital Humanities:
– Acceptance – Complexity – Interoperability – Diversity
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- 20. Oktober 2015
2015 DH Estonia – Text Reuse Hackathon
ACID for the Digital Humanities – Acceptance I
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- 20. Oktober 2015
2015 DH Estonia – Text Reuse Hackathon
ACID for the Digital Humanities – Acceptance II
How to be accepted by humanists if text mining is a black box we can't look into?
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- 20. Oktober 2015
2015 DH Estonia – Text Reuse Hackathon
ACID for the Digital Humanities – Acceptance III
Transparency: How to provide user- friendly insights into complex mining techniques and machine learning?
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- 20. Oktober 2015
2015 DH Estonia – Text Reuse Hackathon
Current approach
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- 20. Oktober 2015
2015 DH Estonia – Text Reuse Hackathon
ACID for the Digital Humanities – Acceptance IV
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- 20. Oktober 2015
2015 DH Estonia – Text Reuse Hackathon
ACID for the Digital Humanities – Acceptance V
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- 20. Oktober 2015
2015 DH Estonia – Text Reuse Hackathon
ACID for the Digital Humanities – Acceptance VI
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- 20. Oktober 2015
2015 DH Estonia – Text Reuse Hackathon
ACID for the Digital Humanities – Acceptance VII
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- 20. Oktober 2015
2015 DH Estonia – Text Reuse Hackathon
ACID for the Digital Humanities – Acceptance VII
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- 20. Oktober 2015
2015 DH Estonia – Text Reuse Hackathon
ACID for the Digital Humanities – Complexity
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- 20. Oktober 2015
2015 DH Estonia – Text Reuse Hackathon
ACID for the Digital Humanities – Interoperability
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- 20. Oktober 2015
KITAB DH Hackathon 2015
ACID for the Digital Humanities – Diversity (Reuse Types)
- Stability (yellow)
- Purpose (green)
- Size of text reuse (blue)
- Classification (light blue)
- Degree of distribution (purple)
- Written and oral transmission
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KITAB DH Hackathon 2015
ACID for the Digital Humanities – Diversity (Reuse Styles)
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- 20. Oktober 2015
KITAB DH Hackathon 2015
Key problem
Basic question: Distribution of Reuse Types und Reuse Styles are often unknown: Which model(s) should be chosen?
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- 20. Oktober 2015
KITAB DH Hackathon 2015
Outline
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- 20. Oktober 2015