This project contains a text-to-text model designed to decrypt Turkish text encoded using a substitution cipher. In a substitution cipher, each letter in the plaintext is replaced by a corresponding, unique letter to form the ciphertext. The model leverages statistical and linguistic properties of Turkish to make educated guesses about the letter substitutions, aiming to recover the original plaintext message.
This model is for monoalphabetic Turkish substitution ciphers and it outputs decoded text.
Example:
Encoded text: Wn cqwqp fqpöqgbatqj ckjxq çmxmçmvy rafhqça zgqjgaçkxnh.
Decoded text: Bu sabah kahvaltıdan sonra yürüyüşe çıkmayı planlıyorum.
Suggested Usage:
#Load the model and tokenizer
cipher_text = "" #Encoded text here!
inputs = tokenizer(cipher_text, return_tensors="pt", padding=True, truncation=True, max_length=256).to(device)
outputs = model.generate(inputs["input_ids"], max_length=256)
decoded_text = tokenizer.decode(outputs[0], skip_special_tokens=True)