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A string-searching algorithm, sometimes called string-matching algorithm, is an algorithm that searches a body of text for portions that match by pattern. A basic example of string searching is when the pattern and the searched text are arrays of elements of an alphabet ( finite set ) Σ.
These vectors capture information about the meaning of the word based on the surrounding words. The word2vec algorithm estimates these representations by modeling text in a large corpus. Once trained, such a model can detect synonymous words or suggest additional words for a partial sentence.
API feature comparison Native UTF-16 support [Note 1] Native UTF-8 support [Note 1] Multi-line matching Partial match [Note 2]; Boost.Regex: No No Yes Yes GLib/GRegex : Yes Yes Yes ...
In computer science, the Knuth–Morris–Pratt algorithm (or KMP algorithm) is a string-searching algorithm that searches for occurrences of a "word" W within a main "text string" S by employing the observation that when a mismatch occurs, the word itself embodies sufficient information to determine where the next match could begin, thus bypassing re-examination of previously matched characters.
Example strings and their purposes: A message like "file upload complete" is a string that software shows to end users. In the program's source code, this message would likely appear as a string literal. User-entered text, like "I got a new job today" as a status update on a social media service.
Replace the separator in the parent with the first element of the right sibling (right sibling loses one node but still has at least the minimum number of elements) The tree is now balanced; Otherwise, if the deficient node's left sibling exists and has more than the minimum number of elements, then rotate right
In computability theory, a system of data-manipulation rules (such as a model of computation, a computer's instruction set, a programming language, or a cellular automaton) is said to be Turing-complete or computationally universal if it can be used to simulate any Turing machine [1] [2] (devised by English mathematician and computer scientist Alan Turing).
In 1964, the expression READ-EVAL-PRINT cycle is used by L. Peter Deutsch and Edmund Berkeley for an implementation of Lisp on the PDP-1. [3] Just one month later, Project Mac published a report by Joseph Weizenbaum (the creator of ELIZA, the world's first chatbot) describing a REPL-based language, called OPL-1, implemented in his Fortran-SLIP language on the Compatible Time Sharing System (CTSS).