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Difference between revisions of "The Algoliterator"

From Algolit

(Inserted a table mentioned the authors)
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by Algolit
 
by Algolit
 
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| Type: || Algoliterary exploration
 
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| Technique: || Recursive Neural Network
 
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| Developed by: || Andrej Karphaty, Justin Johnson, Algolit
 
|}
 
 
  
 
The Algoliterator is an interface to a neural network trained using the selection of digitized works of the Mundaneum archive.  
 
The Algoliterator is an interface to a neural network trained using the selection of digitized works of the Mundaneum archive.  
  
 
With the Algoliterator you can write a text in the style of the International Institutions Bureau. The Algoliterator starts by picking a sentence from the archive or corpus it was trained on. You can then continue writing yourself or, at any time, ask the Algoliterator to suggest a next sentence: the network will generate three new fragments based on the texts it has read. You can control level of training of the network and have it generate sentences based on primitive training, intermediate training or final training.
 
With the Algoliterator you can write a text in the style of the International Institutions Bureau. The Algoliterator starts by picking a sentence from the archive or corpus it was trained on. You can then continue writing yourself or, at any time, ask the Algoliterator to suggest a next sentence: the network will generate three new fragments based on the texts it has read. You can control level of training of the network and have it generate sentences based on primitive training, intermediate training or final training.
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Sources: https://gitlab.constantvzw.org/algolit/algoliterator.clone
 
Sources: https://gitlab.constantvzw.org/algolit/algoliterator.clone
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Concept, code & interface: Gijs de Heij & An Mertens
 
Concept, code & interface: Gijs de Heij & An Mertens
  
Original model:
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Technique: Recursive Neural Network
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Original model: Andrej Karphaty, Justin Johnson

Revision as of 15:26, 1 March 2019

by Algolit

The Algoliterator is an interface to a neural network trained using the selection of digitized works of the Mundaneum archive.

With the Algoliterator you can write a text in the style of the International Institutions Bureau. The Algoliterator starts by picking a sentence from the archive or corpus it was trained on. You can then continue writing yourself or, at any time, ask the Algoliterator to suggest a next sentence: the network will generate three new fragments based on the texts it has read. You can control level of training of the network and have it generate sentences based on primitive training, intermediate training or final training.


Sources: https://gitlab.constantvzw.org/algolit/algoliterator.clone

Concept, code & interface: Gijs de Heij & An Mertens

Technique: Recursive Neural Network

Original model: Andrej Karphaty, Justin Johnson