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In practice, the method of feasible string-search algorithm may be affected by the string encoding. In particular, if a variable-width encoding is in use, then it may be slower to find the Nth character, perhaps requiring time proportional to N. This may significantly slow some search algorithms.
Byte pair encoding [1] [2] (also known as digram coding) [3] is an algorithm, first described in 1994 by Philip Gage, for encoding strings of text into tabular form for use in downstream modeling. [4] A slightly-modified version of the algorithm is used in large language model tokenizers. The original version of the algorithm focused on ...
Techniques such as alphabet reduction may alleviate the high space complexity by reinterpreting the original string as a long string over a smaller alphabet i.e. a string of n bytes can alternatively be regarded as a string of 2n four-bit units and stored in a trie with sixteen pointers per node. However, lookups need to visit twice as many ...
Some categories of algorithms include: String searching algorithms for finding a given substring or pattern; String manipulation algorithms; Sorting algorithms; Regular expression algorithms; Parsing a string; Sequence mining; Advanced string algorithms often employ complex mechanisms and data structures, among them suffix trees and finite ...
Base64 is used to encode character strings in LDAP Data Interchange Format files Base64 is often used to embed binary data in an XML file, using a syntax similar to <data encoding="base64">…</data> e.g. favicons in Firefox 's exported bookmarks.html .
A high-level view of the encoding algorithm is shown here: Initialize the dictionary to contain all strings of length one. Find the longest string W in the dictionary that matches the current input. Emit the dictionary index for W to output and remove W from the input. Add W followed by the next symbol in the input to the dictionary. Go to Step 2.
In computer science and information theory, a Huffman code is a particular type of optimal prefix code that is commonly used for lossless data compression.The process of finding or using such a code is Huffman coding, an algorithm developed by David A. Huffman while he was a Sc.D. student at MIT, and published in the 1952 paper "A Method for the Construction of Minimum-Redundancy Codes".
Perhaps the most famous improvement is the bitap algorithm (also known as the shift-or and shift-and algorithm), which is very efficient for relatively short pattern strings. The bitap algorithm is the heart of the Unix searching utility agrep. A review of online searching algorithms was done by G. Navarro. [4]