Rencontres Algolittéraires: Difference between revisions
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== General Introduction == | == General Introduction == | ||
* [[Rencontres Algolittéraires - Algolit|Algolit]] - already translated! | * [[Rencontres Algolittéraires - Algolit|Algolit]] - already translated! | ||
| − | * [[Programme]] - already translated! | + | * [[Program]] = [[Programme]] - already translated! |
==Algoliterary works== | ==Algoliterary works== | ||
| − | * [[Oulipo | + | * [[Oulipo recipes]] - ready! |
* [[i-could-have-written-that]] - ready! | * [[i-could-have-written-that]] - ready! | ||
* Obama, model for a politician | * Obama, model for a politician | ||
| Line 21: | Line 21: | ||
==Algoliterary explorations== | ==Algoliterary explorations== | ||
| − | === | + | === What the Machine Writes: a closer look at the output === |
| − | * CHARNN text generator | + | * [[CHARNN text generator]] |
| − | * [[You shall know a word by the company it keeps]] | + | * [[You shall know a word by the company it keeps]] |
| − | === | + | === How the Machine Reads: Dissecting Neural Networks === |
==== Datasets ==== | ==== Datasets ==== | ||
| − | * [[Many many words]] - ready! | + | * [[Many many words]] - ready! |
| + | * [[The data (e)speaks]] - ready! | ||
| − | * [[Common Crawl]] | + | =====Common public datasets===== |
| − | * [[Frankenstein]] | + | * [[Common Crawl]] - ready! |
| − | * [[Learning from Deep Learning]] | + | * [[WikiHarass]] - ready! |
| − | * [[AnarchFem | + | |
| − | + | =====Algoliterary datasets===== | |
| + | * [[Frankenstein]] - ready! | ||
| + | * [[Learning from Deep Learning]] - ready! | ||
| + | * [[AnarchFem]] | ||
* [[Tristes Tropiques]] | * [[Tristes Tropiques]] | ||
==== From words to numbers ==== | ==== From words to numbers ==== | ||
| − | * [[ | + | * [[A Bag of Words]] - ready! |
| − | + | * [[A One Hot Vector]] - ready! | |
| − | * [[ | ||
| − | ==== Different | + | ==== Special Focus: Word Embeddings ==== |
| + | * [[About Word embeddings]] - ready! | ||
| + | * [[Crowd Embeddings]] - ready! | ||
| + | |||
| + | ===== Different portraits of word embeddings ===== | ||
* [[Word embedding Projector]] - ready! | * [[Word embedding Projector]] - ready! | ||
* [[5 dimensions 32 graphs]] | * [[5 dimensions 32 graphs]] | ||
* [[The GloVe Reader]] - ready! | * [[The GloVe Reader]] - ready! | ||
| − | ==== | + | ===== Inspecting the technique ===== |
| − | + | * [[word2vec_basic.py]] - ready! | |
| − | * [[word2vec_basic.py]] | ||
| − | |||
* [[Reverse Algebra]] | * [[Reverse Algebra]] | ||
| − | === | + | === How a Machine Might Speak === |
* [[We Are A Sentiment Thermometer]] - ready! | * [[We Are A Sentiment Thermometer]] - ready! | ||
| − | == | + | == Sources == |
| − | * [ | + | * [https://gitlab.constantvzw.org/algolit/algolit/tree/master/algoliterary_encounter Algoliterary Toolkit] - no translation needed! |
| − | + | * [[Algoliterary Bibliography]] - ready! | |
| − | |||
| − | |||
| − | |||
| − | * [[Algoliterary Bibliography]] | ||
Revision as of 18:13, 25 October 2017
Hey Emma,
This is a start of the French version of the Algoliterary Encounters catalog. We marked the pages below that are ready to be translated.
It would be nice to translate the titles of the works into French as well, the titles below are still the English ones. And it would be great if you could do the headers as well.
Thanks a lot!
---
General Introduction
Algoliterary works
- Oulipo recipes - ready!
- i-could-have-written-that - ready!
- Obama, model for a politician
- In the company of CluebotNG - ready!
Algoliterary explorations
What the Machine Writes: a closer look at the output
How the Machine Reads: Dissecting Neural Networks
Datasets
- Many many words - ready!
- The data (e)speaks - ready!
Common public datasets
- Common Crawl - ready!
- WikiHarass - ready!
Algoliterary datasets
- Frankenstein - ready!
- Learning from Deep Learning - ready!
- AnarchFem
- Tristes Tropiques
From words to numbers
- A Bag of Words - ready!
- A One Hot Vector - ready!
Special Focus: Word Embeddings
- About Word embeddings - ready!
- Crowd Embeddings - ready!
Different portraits of word embeddings
- Word embedding Projector - ready!
- 5 dimensions 32 graphs
- The GloVe Reader - ready!
Inspecting the technique
- word2vec_basic.py - ready!
- Reverse Algebra
How a Machine Might Speak
- We Are A Sentiment Thermometer - ready!
Sources
- Algoliterary Toolkit - no translation needed!
- Algoliterary Bibliography - ready!