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Explain difference between Scanning and parsing.
Scanning and parsing: Scanning process is the process of recognizing the lexical components in a source string whereas parsing is the process of checking the validity of a source string, and to find out its syntactic structure. The purpose for separating scanning from parsing is that the lexical characteristics of a language can be specified by using Type-3 grammars. All Type-3 production identifies lexical components is also a Type-2 production. Conversely, a recognizer for Type-3 productions is easier, simple to build and more efficient throughout execution than a recognizer for Type-2 productions. Therefore it is better to handle the lexical and syntactic elements of a source language separately.
Subroutine are the part of implementing processes (like any process can call a subroutine for achieve task), whereas the interrupt subroutine never be the part. Interrupt subroutin
Multiple valued logics: Multiple valued logics, where altered types of truth value such as "unknown" are may be allowed. These have some of the particular advantages of fuzzy
write a program insert and remove value in queue.
Cache Misses Compulsory misses - it is caused by initial access to a block that has never been in the cache (also called cold start misses Capacity miss - it is cause
Why is segmented paging important (as compared to a paging system)? Paging can be super-imposed upon a segment oriented addressing mechanism to acquire efficient use of the mem
What are the advantages and disadvantages of macro pre-processor? Advantages Any of existing conventional assembler can be improved in this way to incorporate macro proces
Define Parsing Parsing is the method of analyzing a text, made up of a sequence of tokens, to define its grammatical structure with respect to a given formal grammar. Parsing
When producing a datapool, you state the kinds of data (called data types) that the script will send for example, customer names, addresses, and unique order numbers or product nam
An experts system has knowledge that lets it reason about its own operations plus a structure that simplifies this reasoning process. For example if an expert system
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