Welcome to Text Recovery Project 👋
A python library for distributed training of a Transformer neural network across the Internet to solve the Running Key Cipher, widely known in the field of Cryptography.
The main goal of the project is to study the possibility of using Transformer neural network to “read” meaningful text in columns that can be compiled for a Running Key Cipher. You can read more about the problem here. The second goal is to train a fairly large model in a distributed manner with the help of volunteers from around the globe 🌎.
In addition, rather fun 😅 goal is to train a large enough model so that it can handle the case described
below.
Let there be an original sentence:
Hello, my name is Zendaya Maree Stoermer Coleman but you can just call me Zendaya.
The columns for this sentence will be compiled in such a way that the last seven contain from ten to thirteen letters of the English alphabet, and all the others from two to five. Thus, the last seven characters will be much harder to "read" compared to the rest. However, we can guess from the meaning of the sentence that this is the name Zendaya.
In other words, the goal is also to train a model that can understand and correctly “read” the last word.