Humans are pretty good understanding texts with missing letters. I guess that if it considers also the context it would be possible to predict better the destro

Humans are pretty good understanding texts with missing letters. I guess that if it considers also the context it would be possible to predict better the destroyed words. But basically, we would be storing the missing information in the decoder, not in the data (which is not bad idea, considering that most most languages are used more than once). If we also only modify the letters that can be recovered successfully... And also, this would not contradict the pigeonhole principle. Some words would be impossible to store, like a text full of typos. It would require escaping the word somehow, producing documents longer than the original.