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Data Miningand ClassicalManuscripts
Peter Heslin
Manuscriptsand ScienceThe PigmentsProjectParchments andDNABeeswax andAlchemy
How
WhyCritical ApparatusStemmaCurrent DigitalEditions
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Data Mining and Classical Manuscripts
Peter Heslin
IDAS and Classics
30 September 2019
Data Miningand ClassicalManuscripts
Peter Heslin
Manuscriptsand ScienceThe PigmentsProjectParchments andDNABeeswax andAlchemy
How
WhyCritical ApparatusStemmaCurrent DigitalEditions
Project Goals
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The Pigments Project
Data Miningand ClassicalManuscripts
Peter Heslin
Manuscriptsand ScienceThe PigmentsProjectParchments andDNABeeswax andAlchemy
How
WhyCritical ApparatusStemmaCurrent DigitalEditions
Project Goals
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Parchments and DNA
Data Miningand ClassicalManuscripts
Peter Heslin
Manuscriptsand ScienceThe PigmentsProjectParchments andDNABeeswax andAlchemy
How
WhyCritical ApparatusStemmaCurrent DigitalEditions
Project Goals
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Beeswax and Alchemy
Data Miningand ClassicalManuscripts
Peter Heslin
Manuscriptsand ScienceThe PigmentsProjectParchments andDNABeeswax andAlchemy
How
WhyCritical ApparatusStemmaCurrent DigitalEditions
Project Goals
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Beeswax and Alchemy
Data Miningand ClassicalManuscripts
Peter Heslin
Manuscriptsand ScienceThe PigmentsProjectParchments andDNABeeswax andAlchemy
How
WhyCritical ApparatusStemmaCurrent DigitalEditions
Project Goals
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Rescribe
Data Miningand ClassicalManuscripts
Peter Heslin
Manuscriptsand ScienceThe PigmentsProjectParchments andDNABeeswax andAlchemy
How
WhyCritical ApparatusStemmaCurrent DigitalEditions
Project Goals
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Critical Apparatus
Data Miningand ClassicalManuscripts
Peter Heslin
Manuscriptsand ScienceThe PigmentsProjectParchments andDNABeeswax andAlchemy
How
WhyCritical ApparatusStemmaCurrent DigitalEditions
Project Goals
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Stemma
Data Miningand ClassicalManuscripts
Peter Heslin
Manuscriptsand ScienceThe PigmentsProjectParchments andDNABeeswax andAlchemy
How
WhyCritical ApparatusStemmaCurrent DigitalEditions
Project Goals
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Current Digital Editions
Data Miningand ClassicalManuscripts
Peter Heslin
Manuscriptsand ScienceThe PigmentsProjectParchments andDNABeeswax andAlchemy
How
WhyCritical ApparatusStemmaCurrent DigitalEditions
Project Goals
...
.
...
.
...
.
...
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Project Goals
A new way of visualizing manuscript differences on-screenand for automatically computing relationships betweenthem.
A mechanism for training varied book-hands automatically,on the basis of a standard edition, ideally portable betweenlanguages.
A way of reliably detecting anomalies, where the text inthe manuscript differs from that in the standard edition.
A machine-learning methodology in which the trainingdata is unreliable, but in ways that can be categorized.
Data Miningand ClassicalManuscripts
Peter Heslin
Manuscriptsand ScienceThe PigmentsProjectParchments andDNABeeswax andAlchemy
How
WhyCritical ApparatusStemmaCurrent DigitalEditions
Project Goals
...
.
...
.
...
.
...
.
...
.
...
.
...
.
...
.
...
.
...
.
Project Goals
A new way of visualizing manuscript differences on-screenand for automatically computing relationships betweenthem.
A mechanism for training varied book-hands automatically,on the basis of a standard edition, ideally portable betweenlanguages.
A way of reliably detecting anomalies, where the text inthe manuscript differs from that in the standard edition.
A machine-learning methodology in which the trainingdata is unreliable, but in ways that can be categorized.
Data Miningand ClassicalManuscripts
Peter Heslin
Manuscriptsand ScienceThe PigmentsProjectParchments andDNABeeswax andAlchemy
How
WhyCritical ApparatusStemmaCurrent DigitalEditions
Project Goals
...
.
...
.
...
.
...
.
...
.
...
.
...
.
...
.
...
.
...
.
Project Goals
A new way of visualizing manuscript differences on-screenand for automatically computing relationships betweenthem.
A mechanism for training varied book-hands automatically,on the basis of a standard edition, ideally portable betweenlanguages.
A way of reliably detecting anomalies, where the text inthe manuscript differs from that in the standard edition.
A machine-learning methodology in which the trainingdata is unreliable, but in ways that can be categorized.
Data Miningand ClassicalManuscripts
Peter Heslin
Manuscriptsand ScienceThe PigmentsProjectParchments andDNABeeswax andAlchemy
How
WhyCritical ApparatusStemmaCurrent DigitalEditions
Project Goals
...
.
...
.
...
.
...
.
...
.
...
.
...
.
...
.
...
.
...
.
Project Goals
A new way of visualizing manuscript differences on-screenand for automatically computing relationships betweenthem.
A mechanism for training varied book-hands automatically,on the basis of a standard edition, ideally portable betweenlanguages.
A way of reliably detecting anomalies, where the text inthe manuscript differs from that in the standard edition.
A machine-learning methodology in which the trainingdata is unreliable, but in ways that can be categorized.
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