Number of English letters (incl. capital ones), punctuation symbols is less 128, hence you need 7-bits per English text symbol.
The calculated entropy of the English language is 2.62 bits per letter on average. According to Shannon’s Source Coding Theorem the best compression ratio you can obtain without distorting the original text (i.e. by lossless compression) is 7 /2.62 ≈ 2.67 .
In other words you can’t compress English text on average by 3 times, but you can find a method to compress English text by 2.5 times.
According to the book “Video Compression Techniques“, Wolfgang Effelsberg and Ralf Steinmetz, published in 1998, Diatomic Encoding (this technique determines the pairs of bytes occurring most frequently and encodes them with shorter codes) of ordinary English text by encoding the following most frequent pairs (here ‘_’ denotes blank for better readability):
E_ , T_, TH, A_, S_, RE, IN, HE
the replacement of the above pairs by special single bytes which are not present in English texts (e.g. Æ) reduces data by more than 10%.
Note: lossless coding is sometimes called entropy coding.
23+ years’ programming and theoretical experience in the computer science fields such as video compression, media streaming and artificial intelligence (co-author of several papers and patents).
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