Concepts Of Programming Languages
12th Edition
ISBN: 9780134997186
Author: Sebesta, Robert W.
Publisher: Pearson,
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Expert Solution & Answer
Chapter 4, Problem 1RQ
Explanation of Solution
Syntax analyzers are based on grammars:
Syntax analyzer phase in compilation process is the step in which the “tokens” in the programs are identified and recognize whether they are specified in a valid way.
So, syntax analyzers are based on the syntax of the language. The syntax is often described formally by Context Free Grammars (CFG) or Backus-Naur Form (BNF).
Context Free Grammars (CFG):
There were four classes of grammars which describes the four classes of languages. Context Free Grammars was one of the four classes which described the syntax of whole
Backus-Naur Form (BNF):
BNF is a natural notation for describing syntax described by John Backus and Peter Naur. It is very similar to Context Free Grammars.
Thus, syntax is based on BNF (or context free grammar from) due to three main reasons as described below:
- Instead of using some informal notations, syntax description with context free grammars are precise and unambiguous. This is easy to understand for both human and software systems.
- The formal description of the syntax, CFG or BNF both are used as the direct basis of syntax analyzer.
- Context free grammars or BNF are easy to implement because of their modular nature. That is, they can be implemented in modules.
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Students have asked these similar questions
[5 marks] Give a recursive definition for the language anb2n where n = 1, 2, 3, ... over the alphabet Ó={a, b}.
2) [12 marks] Consider the following languages over the alphabet ={a ,b},
(i) The language of all words that begin and end an a
(ii) The language where every a in a word is immediately followed by at least one b.
(a) Express each as a Regular Expression
(b) Draw an FA for each language
(c) For Language (i), draw a TG using at most 3 states
(d) For Language (ii), construct a CFG.
Question 1 Generate a random sample of standard lognormal data (rlnorm()) for sample size n = 100. Construct histogram estimates of density for this sample using Sturges’ Rule, Scott’s Normal Reference Rule, and the FD Rule. Question 2 Construct a frequency polygon density estimate for the sample in Question 1, using bin width determined by Sturges’ Rule.
Generate a random sample of standard lognormal data (rlnorm()) for sample size n = 100. Construct histogram estimates of density for this sample using Sturges’ Rule, Scott’s Normal Reference Rule, and the FD Rule.
Chapter 4 Solutions
Concepts Of Programming Languages
Ch. 4 - Prob. 1RQCh. 4 - Prob. 2RQCh. 4 - Prob. 3RQCh. 4 - Prob. 4RQCh. 4 - Prob. 5RQCh. 4 - Prob. 6RQCh. 4 - Prob. 7RQCh. 4 - Prob. 8RQCh. 4 - Prob. 9RQCh. 4 - Prob. 10RQ
Ch. 4 - Prob. 11RQCh. 4 - Prob. 12RQCh. 4 - Prob. 13RQCh. 4 - Prob. 14RQCh. 4 - Prob. 15RQCh. 4 - Prob. 16RQCh. 4 - Prob. 17RQCh. 4 - Prob. 18RQCh. 4 - Prob. 19RQCh. 4 - Prob. 20RQCh. 4 - Prob. 21RQCh. 4 - Prob. 22RQCh. 4 - Prob. 23RQCh. 4 - What was Knuths insight in developing the LR...Ch. 4 - Prob. 25RQCh. 4 - Prob. 26RQCh. 4 - Is left recursion a problem for LR parsers?Ch. 4 - Prob. 1PSCh. 4 - Prob. 2PSCh. 4 - Prob. 3PSCh. 4 - Prob. 4PSCh. 4 - Prob. 7PSCh. 4 - Prob. 8PS
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