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I taught an AI 99 languages. Here's the easiest one to learn

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Check out the code and results here:
What is the easiest language for an AI to learn?
To explore this question, I fed 99 translations of The Little Prince into an autoencoder. This project aims to determine which languages an AI can "learn" and "understand" most effectively by analyzing the autoencoder performance across various languages and dialects.
Why The Little Prince?
The Little Prince is one of the most translated works of fiction in the world. Its simple vocabulary and universal accessibility make it an ideal benchmark for comparing language processing across diverse languages.
How Does the AI "Learn"?
Each translation was fed into an autoencoder, a type of neural network designed to compress and decompress input data. The autoencoder encodes the input into a compressed representation (bottleneck) and then reconstructs the original input. The idea is that translations that were easiest to compress and decompress represented the translations that the model understood "the best."
Chapters:
0:00 Why autoencoders?
1:11 The Little Prince
3:23 Training the autoencoders
4:20 Results
6:47 Limitations
7:56 Next Steps
Follow Me:
What is the easiest language for an AI to learn?
To explore this question, I fed 99 translations of The Little Prince into an autoencoder. This project aims to determine which languages an AI can "learn" and "understand" most effectively by analyzing the autoencoder performance across various languages and dialects.
Why The Little Prince?
The Little Prince is one of the most translated works of fiction in the world. Its simple vocabulary and universal accessibility make it an ideal benchmark for comparing language processing across diverse languages.
How Does the AI "Learn"?
Each translation was fed into an autoencoder, a type of neural network designed to compress and decompress input data. The autoencoder encodes the input into a compressed representation (bottleneck) and then reconstructs the original input. The idea is that translations that were easiest to compress and decompress represented the translations that the model understood "the best."
Chapters:
0:00 Why autoencoders?
1:11 The Little Prince
3:23 Training the autoencoders
4:20 Results
6:47 Limitations
7:56 Next Steps
Follow Me:
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