Answer:
IG: yiimbert
The Huffman algorithm is a lossless data compression technique that works by creating variable-length codes for the most frequent characters or symbols in a given dataset. These codes are assigned based on the frequency of occurrence of each symbol, with more frequent symbols being assigned shorter codes and less frequent symbols being assigned longer codes.
To preserve the separation between distinct words that was present in the file prior to compression, one can use a technique called "word boundary preservation." This technique involves identifying the end of each word in the text and assigning a special symbol to mark the end of the word.
For example, one could use a special symbol like "#", or a combination of symbols like "00" or "01", to indicate the end of each word. By doing so, the Huffman algorithm can assign separate codes to each word, thus preserving the separation between them.
To implement word boundary preservation in the Huffman algorithm, one would first need to identify the end of each word in the text. This can be done by searching for spaces, punctuation marks, or other word delimiters. Once the end of each word is identified, a special symbol can be inserted at that point in the text.
Next, the modified text with the special symbols can be compressed using the Huffman algorithm. When assigning codes to each symbol, the algorithm will treat the special symbols as distinct characters, and will assign separate codes to each word boundary symbol. This will ensure that the separation between distinct words is preserved in the compressed file.
Finally, when decompressing the file, the special symbols can be used to identify the end of each word and reconstruct the original text with its original word separation intact.