
- Automata Theory - Applications
- Automata Terminology
- Basics of String in Automata
- Set Theory for Automata
- Finite Sets and Infinite Sets
- Algebraic Operations on Sets
- Relations Sets in Automata Theory
- Graph and Tree in Automata Theory
- Transition Table in Automata
- What is Queue Automata?
- Compound Finite Automata
- Complementation Process in DFA
- Closure Properties in Automata
- Concatenation Process in DFA
- Language and Grammars
- Language and Grammar
- Grammars in Theory of Computation
- Language Generated by a Grammar
- Chomsky Classification of Grammars
- Context-Sensitive Languages
- Finite Automata
- What is Finite Automata?
- Finite Automata Types
- Applications of Finite Automata
- Limitations of Finite Automata
- Two-way Deterministic Finite Automata
- Deterministic Finite Automaton (DFA)
- Non-deterministic Finite Automaton (NFA)
- NDFA to DFA Conversion
- Equivalence of NFA and DFA
- Dead State in Finite Automata
- Minimization of DFA
- Automata Moore Machine
- Automata Mealy Machine
- Moore vs Mealy Machines
- Moore to Mealy Machine
- Mealy to Moore Machine
- Myhill–Nerode Theorem
- Mealy Machine for 1’s Complement
- Finite Automata Exercises
- Complement of DFA
- Regular Expressions
- Regular Expression in Automata
- Regular Expression Identities
- Applications of Regular Expression
- Regular Expressions vs Regular Grammar
- Kleene Closure in Automata
- Arden’s Theorem in Automata
- Convert Regular Expression to Finite Automata
- Conversion of Regular Expression to DFA
- Equivalence of Two Finite Automata
- Equivalence of Two Regular Expressions
- Convert Regular Expression to Regular Grammar
- Convert Regular Grammar to Finite Automata
- Pumping Lemma in Theory of Computation
- Pumping Lemma for Regular Grammar
- Pumping Lemma for Regular Expression
- Pumping Lemma for Regular Languages
- Applications of Pumping Lemma
- Closure Properties of Regular Set
- Closure Properties of Regular Language
- Decision Problems for Regular Languages
- Decision Problems for Automata and Grammars
- Conversion of Epsilon-NFA to DFA
- Regular Sets in Theory of Computation
- Context-Free Grammars
- Context-Free Grammars (CFG)
- Derivation Tree
- Parse Tree
- Ambiguity in Context-Free Grammar
- CFG vs Regular Grammar
- Applications of Context-Free Grammar
- Left Recursion and Left Factoring
- Closure Properties of Context Free Languages
- Simplifying Context Free Grammars
- Removal of Useless Symbols in CFG
- Removal Unit Production in CFG
- Removal of Null Productions in CFG
- Linear Grammar
- Chomsky Normal Form (CNF)
- Greibach Normal Form (GNF)
- Pumping Lemma for Context-Free Grammars
- Decision Problems of CFG
- Pushdown Automata
- Pushdown Automata (PDA)
- Pushdown Automata Acceptance
- Deterministic Pushdown Automata
- Non-deterministic Pushdown Automata
- Construction of PDA from CFG
- CFG Equivalent to PDA Conversion
- Pushdown Automata Graphical Notation
- Pushdown Automata and Parsing
- Two-stack Pushdown Automata
- Turing Machines
- Basics of Turing Machine (TM)
- Representation of Turing Machine
- Examples of Turing Machine
- Turing Machine Accepted Languages
- Variations of Turing Machine
- Multi-tape Turing Machine
- Multi-head Turing Machine
- Multitrack Turing Machine
- Non-Deterministic Turing Machine
- Semi-Infinite Tape Turing Machine
- K-dimensional Turing Machine
- Enumerator Turing Machine
- Universal Turing Machine
- Restricted Turing Machine
- Convert Regular Expression to Turing Machine
- Two-stack PDA and Turing Machine
- Turing Machine as Integer Function
- Post–Turing Machine
- Turing Machine for Addition
- Turing Machine for Copying Data
- Turing Machine as Comparator
- Turing Machine for Multiplication
- Turing Machine for Subtraction
- Modifications to Standard Turing Machine
- Linear-Bounded Automata (LBA)
- Church's Thesis for Turing Machine
- Recursively Enumerable Language
- Computability & Undecidability
- Turing Language Decidability
- Undecidable Languages
- Turing Machine and Grammar
- Kuroda Normal Form
- Converting Grammar to Kuroda Normal Form
- Decidability
- Undecidability
- Reducibility
- Halting Problem
- Turing Machine Halting Problem
- Rice's Theorem in Theory of Computation
- Post’s Correspondence Problem (PCP)
- Types of Functions
- Recursive Functions
- Injective Functions
- Surjective Function
- Bijective Function
- Partial Recursive Function
- Total Recursive Function
- Primitive Recursive Function
- μ Recursive Function
- Ackermann’s Function
- Russell’s Paradox
- Gödel Numbering
- Recursive Enumerations
- Kleene's Theorem
- Kleene's Recursion Theorem
- Advanced Concepts
- Matrix Grammars
- Probabilistic Finite Automata
- Cellular Automata
- Reduction of CFG
- Reduction Theorem
- Regular expression to ∈-NFA
- Quotient Operation
- Parikh’s Theorem
- Ladner’s Theorem
Unit Production Removal in Context Free Grammar
Context-free grammars sometimes need to be simplified. Simplification means removing unit productions, removing null productions and removing useless productions. In the previous chapter, we explained how to remove useless symbols from CFG. In this chapter, we will see the steps with examples for unit production removal from CFG.
Unit Production and its Removal
Simplifying a CFG involves eliminating redundant or unnecessary elements without altering the language generated by the grammar. Unit productions, a specific type of production rule, can be removed to achieve this simplification.
In context-free grammars, a unit production is a production rule of the form "A → B", where both 'A' and 'B' represent non-terminal symbols.
In simpler terms, a unit production replaces a non-terminal with another single non-terminal.
Unit productions introduce a level of indirection in the derivation process of a CFG. By removing them, we can achieve a more concise and efficient grammar without affecting the language it generates. This simplification proves beneficial for various parsing algorithms and grammatical analysis techniques.
Steps to Remove Unit Productions
The process of eliminating unit productions from a CFG involves systematic replacement and iteration. Let's break down the steps −
- Identifying Unit Productions − Start by analyzing the production rules of the given CFG. Identify all production rules that is in the format like "A → B", where A and B are non-terminals.
-
Replacing Unit Productions − For each identified unit production "A → B", perform the following:
- Find all productions of B − Check the grammar for all production rules where 'B' appears on the left-hand side (LHS). Let's represent these productions as "B → X", where 'X' can be a terminal symbol, a string of terminal and/or non-terminal symbols, or even the empty string (ε).
- Introduce new productions for A − For every production rule "B → X" found, add a new production rule "A → X" to the grammar. This essentially bypasses the intermediate step of going through 'B'.
- Removing the Original Unit Production − Once we have added the new production rules, eliminate the original unit production "A → B" from the grammar.
- Iteration − Repeat Steps 1 to 3 until no more unit productions remain in the grammar. This iterative process ensures the removal of all indirect unit productions as well.
Example of Unit Production Removal in CFG
Now we will see the idea through a real example. Let's consider a CFG with the following productions −
$$\mathrm{S \: \rightarrow \: XY}$$
$$\mathrm{X \: \rightarrow \: a}$$
$$\mathrm{Y \: \rightarrow \: Z\:|\:b}$$
$$\mathrm{Z \: \rightarrow \: M}$$
$$\mathrm{M \: \rightarrow \: N}$$
$$\mathrm{N \: \rightarrow \: a}$$
Identifying Unit Productions
We can identify three unit productions in this grammar −
$$\mathrm{Y \: \rightarrow \: Z}$$
$$\mathrm{Z \: \rightarrow \: M}$$
$$\mathrm{M \: \rightarrow \: N}$$
Removing M → N
We see that 'N' has a production "N → a".
Therefore, we add a new production "M → a" to the grammar.
We remove the unit production "M → N".
The grammar now becomes −
$$\mathrm{S \: \rightarrow \: XY}$$
$$\mathrm{X \: \rightarrow \: a}$$
$$\mathrm{Y \: \rightarrow \: Z \: | \: b}$$
$$\mathrm{Z \: \rightarrow \: M}$$
$$\mathrm{M \: \rightarrow \: a}$$
$$\mathrm{N \: \rightarrow \: a}$$
Removing Z → M
'M' now has the production "M → a".
We add a new production: "Z → a".
We remove the unit production "Z → M".
The grammar now becomes −
$$\mathrm{S \: \rightarrow \: XY}$$
$$\mathrm{X \: \rightarrow \: a}$$
$$\mathrm{Y \: \rightarrow \: Z \: | \: b}$$
$$\mathrm{Z \: \rightarrow \: a}$$
$$\mathrm{M \: \rightarrow \: a}$$
$$\mathrm{N \: \rightarrow \: a}$$
Removing Y → Z
'Z' now has the production "Z → A".
We add a new production "Y → A".
We remove "Y → Z".
The grammar now becomes −
$$\mathrm{S \: \rightarrow \: XY}$$
$$\mathrm{X \: \rightarrow \: a}$$
$$\mathrm{Y \: \rightarrow \: a \: | \: b}$$
$$\mathrm{Z \: \rightarrow \: a}$$
$$\mathrm{M \: \rightarrow \: a}$$
$$\mathrm{N \: \rightarrow \: a}$$
Final Grammar
At this point, we have removed all the unit productions. However, we notice that the non-terminals Z, M, and N are not reachable from the start symbol 'S'.
Therefore, we can remove these unreachable symbols and their corresponding productions, resulting in the final simplified grammar −
$$\mathrm{S \: \rightarrow \: XY}$$
$$\mathrm{X \: \rightarrow \: a}$$
$$\mathrm{Y \: \rightarrow \: a \: | \: b}$$
Conclusion
Removing unit productions is a fundamental step in simplifying context-free grammars. It is a part of CFG simplification with other steps like null production removal, etc. This process eliminates unnecessary steps in derivations, making the grammar more efficient for parsing and analysis without altering the language it generates.