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In information theory, linguistics, and computer science, the Levenshtein distance is a string metric for measuring the difference between two sequences. The Levenshtein distance between two words is the minimum number of single-character edits (insertions, deletions or substitutions) required to change one word into the other.
The general difficulty of measuring performance lies in the fact that the recognized word sequence can have a different length from the reference word sequence (supposedly the correct one). The WER is derived from the Levenshtein distance, working at the word level instead of the phoneme level. The WER is a valuable tool for comparing different ...
For a fixed length n, the Hamming distance is a metric on the set of the words of length n (also known as a Hamming space), as it fulfills the conditions of non-negativity, symmetry, the Hamming distance of two words is 0 if and only if the two words are identical, and it satisfies the triangle inequality as well: [2] Indeed, if we fix three words a, b and c, then whenever there is a ...
If the intersection X ∩ Y has a non-empty interior, then there exists a constant r > 0, such that every set X′ whose Hausdorff distance from X is less than r also intersects Y. [5] On the set of all subsets of M, d H yields an extended pseudometric. On the set F(M) of all non-empty compact subsets of M, d H is a metric.
A word processor program is an application program that provides word processing functions. The most basic of them include input, editing, formatting, and output of rich text . The functions of a word processor program fall somewhere between those of a simple text editor and a fully functioned desktop publishing program.
Formerly ClarisWorks Word Processing, also an older and unrelated application for Apple II. Succeeded by iWork. Amí: Windows: developed and marketed by Samna: Apple Writer: Apple II, Apple III: SuperWriter: Apricot Portable: Built-in word processor in Apricot Computers devices Authorea: word processor for students and researchers AstroType ...
In natural language processing, a word embedding is a representation of a word. The embedding is used in text analysis.Typically, the representation is a real-valued vector that encodes the meaning of the word in such a way that the words that are closer in the vector space are expected to be similar in meaning. [1]
The encoding scheme stores the sign, the exponent (in base two for Cray and VAX, base two or ten for IEEE floating point formats, and base 16 for IBM Floating Point Architecture) and the significand (number after the radix point). While several similar formats are in use, the most common is ANSI/IEEE Std. 754-1985.