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Optimal alphabet for single text compression

arXiv 2201.05234 ↗First posted 13 Jan 2022cs.IT cs.CL math.ITcited by 1

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Abstract (arXiv)

A text written using symbols from a given alphabet can be compressed using the Huffman code, which minimizes the length of the encoded text. It is necessary, however, to employ a text-specific codebook, i.e. the symbol-codeword dictionary, to decode the original text. Thus, the compression performance should be evaluated by the full code length, i.e. the length of the encoded text plus the length of the codebook. We studied several alphabets for compressing texts -- letters, n-grams of letters, syllables, words, and phrases. If only sufficiently short texts are retained, an alphabet of letters or two-grams of letters is optimal. For the majority of Project Gutenberg texts, the best alphabet (the one that minimizes the full code length) is given by syllables or words, depending on the representation of the codebook. Letter 3 and 4-grams, having on average comparable length to syllables/words, perform noticeably worse than syllables or words. Word 2-grams also are never the best alphabet, on the account of having a very large codebook. We also show that the codebook representation is important -- switching from a naive representation to a compact one significantly improves the matters for alphabets with large number of symbols, most notably the words. Thus, meaning-expressing elements of the language (syllables or words) provide the best compression alphabet.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 4 of its 64 references that are in the map. First posted on arXiv 13 Jan 2022.

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4 of 64 references.

References · 4

  1. 2013Rank-frequency relation for Chinese characterscited by 4
  2. 2020Two halves of a meaningful text are statistically differentcited by 4
  3. 2013Explaining Zipf's Law via Mental Lexiconcited by 2
  4. 2015Stochastic model for phonemes uncovers an author-dependency of their usagecited by 1

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