
- 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
Removal of Null Productions in CFG
In this chapter, we will see the process of simplifying context-free grammars (CFGs) by removing null productions. In the last two chapters, we have covered the other two methods: the removal of unit productions and the removal of unwanted productions. Removing null is another important part in CFG simplification.
We will start by defining null productions, then move on to a step-by-step procedure for their removal, illustrated with a clear example for a better understanding.
What are Null Productions?
In a CFG, we might encounter productions where a non-terminal symbol derives the empty string, represented by the symbol 'ε' (epsilon). These are known as null productions.
In other words, a non-terminal symbol 'A' in a CFG is considered nullable if −
- There exists a production rule A → ε (A directly derives null).
- There exists a derivation starting from A that ultimately leads to ε.
Productions containing these nullable variables are the null productions we aim to eliminate for CFG simplification.
Steps to Remove Null Productions
Let us see the steps to remove null productions. Initially we need to identify them. and systematically replacing them with equivalent productions that don't include epsilon.
Let's break down the procedure into three simple steps −
Step 1: Identify Null Productions
Check the grammar for productions of the form A → ε. Identify any non-terminal symbols that can derive ε through a series of productions.
Step 2: Find Productions Containing Nullable Variables
For each identified null production (A → ε), locate all other productions where 'A' appears on the right-hand side.
Step 3: Replace Nullable Variables with Epsilon
For every production we get in Step 2, create new productions by replacing each occurrence of the nullable variable ('A' in our example) with ε. Add these newly generated productions to the grammar.
Example of Removing Null Productions in CFG
Let us see the idea through an example for a clear understanding.
Follow the grammar −
- Start Symbol: S
- Non-terminal Symbols: A, B, C
- Terminal Symbols: a, b, c
-
Production Rules:
- S → ABAC
- A → aA | ε
- B → bB | ε
- C → c
Step 1. Identifying Null Productions
We can directly observe two null productions −
- A → ε
- B → ε
Step 2. Eliminating 'A → ε'
Productions containing 'A' on the right-hand side −
- S → ABAC
- A → aA
Replacing 'A' with ε −
- Replacing first A: S → BAC
- Replacing second A: S → ABC
- Replacing both A: S → BC
- From A → aA: A → a
Updating the grammar −
- S → ABAC | ABC | BAC | BC
- A → aA | a
- B → bB | ε
- C → c
Step 3. Eliminating 'B → ε':
Productions containing 'B' on the right-hand side −
- S → ABAC | ABC | BAC | BC
- B → bB
Replacing 'B' with ε −
- From S → ABAC, Replacing B: S → AAC
- From S → ABC, Replacing B: S → AC
- From S → BAC, Replacing B: S → AC (already present)
- From S → BC, Replacing B: S → C
- From B → bB, Replacing B: B → b
Updating the grammar (final grammar) −
- S → ABAC | ABC | BAC | BC | AAC | AC | C
- A → aA | a
- B → bB | b
- C → c
This is the final grammar but still we can see one unit production, S → C, which can be removed by S → c. So, the reduced grammar could be −
- S → ABAC | ABC | BAC | BC | AAC | AC | c
- A → aA | a
- B → bB | b
- C → c
Conclusion
In this chapter, we explained in detail how to remove null productions from contextfree grammars. We successfully removed the null productions from our example CFG with steps. The final grammar is equivalent to the original but does not contain any productions that directly derive epsilon.
We also removed one unit production that was generating in the reduced grammar. This simplification is beneficial for various CFG applications, including parsing and language processing tasks.