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Finite-state machine and LR parser

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Finite-state machine and LR parser

Finite-state machine vs. LR parser

A finite-state machine (FSM) or finite-state automaton (FSA, plural: automata), finite automaton, or simply a state machine, is a mathematical model of computation. In computer science, LR parsers are a type of bottom-up parser that efficiently read deterministic context-free languages, in guaranteed linear time.

Similarities between Finite-state machine and LR parser

Finite-state machine and LR parser have 4 things in common (in Unionpedia): Alphabet (formal languages), Cambridge University Press, Computer science, Lexical analysis.

Alphabet (formal languages)

In formal language theory, a string is defined as a finite sequence of members of an underlying base set; this set is called the alphabet of a string or collection of strings.

Alphabet (formal languages) and Finite-state machine · Alphabet (formal languages) and LR parser · See more »

Cambridge University Press

Cambridge University Press (CUP) is the publishing business of the University of Cambridge.

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Computer science

Computer science deals with the theoretical foundations of information and computation, together with practical techniques for the implementation and application of these foundations.

Computer science and Finite-state machine · Computer science and LR parser · See more »

Lexical analysis

In computer science, lexical analysis, lexing or tokenization is the process of converting a sequence of characters (such as in a computer program or web page) into a sequence of tokens (strings with an assigned and thus identified meaning).

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The list above answers the following questions

Finite-state machine and LR parser Comparison

Finite-state machine has 97 relations, while LR parser has 44. As they have in common 4, the Jaccard index is 2.84% = 4 / (97 + 44).

References

This article shows the relationship between Finite-state machine and LR parser. To access each article from which the information was extracted, please visit:

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