Context-dependent Stopper encoding
Abstract: |
A character-based encoding method is presented for natural-language texts and genetic data. Exact string matching from the encoded text is faster than from the original text, with medium and longer patterns. A compression ratio of about 50% is achieved as a by-product. The method encodes characters with variable-length codewords of 2-bit base symbols. An advanced variant is context-dependent, using information from the previous character. The method supersedes the previous comparable methods in compression ratio, and is comparable to the best such methods in search speed. |
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