Removing ε-productions
1. What are ε-productions?
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An ε-production is a production rule of the form:
where is a variable (non-terminal).
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It means that the non-terminal can vanish during derivations.
Example:
Here, can disappear, allowing strings like "ab"
, "aabb"
, etc.
2. Why are ε-productions problematic?
ε-productions are not “wrong” but they make grammars messy and hard to analyze:
-
Ambiguity in parsing:
Since ε can appear “out of nowhere,” parsers need to handle “empty moves,” complicating parsing algorithms. -
Conversion to Normal Forms (CNF, GNF):
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Chomsky Normal Form (CNF) does not allow ε-productions, except possibly if the language contains the empty string.
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To transform CFGs into CNF (needed for many theoretical proofs and parsing algorithms like CYK), ε-productions must be eliminated.
-
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Cleaner Grammar:
Eliminating ε-productions gives a simpler grammar where every derivation step is “visible” (produces at least one symbol).
3. Method
Step 1: Identify nullable variables
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A variable is nullable if
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Directly nullable: if
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Indirectly nullable: if and both and are nullable.
Step 2: Modify productions
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For every production that contains a nullable variable, add new productions where that variable is “dropped.”
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Keep doing this for all nullable variables.
Step 3: Remove the original ε-productions
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Except keep if the language requires ε.
4. Example
Grammar with ε-productions:
Step 1: Find nullable variables
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, so A is nullable.
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, so B is nullable.
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so S is nullable.
Step 2: Add alternatives by removing nullable symbols
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From :
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Drop A:
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Drop B:
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Drop both:
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From A → a | ε → A → a
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From B → c | ε → B → c
Step 3: Remove ε-productions (except S if needed)
Final grammar (without ε-productions, but still equivalent):
5. Significance of eliminating ε-productions
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Essential for CNF and GNF conversion (core proofs in theory of computation).
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Simplifies parsing (no need to handle “disappearing” symbols).
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Makes grammar more deterministic and easier to reason about.
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Still preserves the original language (possibly keeping ε if it belongs to the language).
✅ In summary: Eliminating ε-productions makes CFGs cleaner, easier to parse, and transformable into standard normal forms, which are crucial for proving results like decidability, parsing algorithms, and equivalence between CFGs and PDAs.
Example
We have the grammar:
Step 1: Identify nullable variables
-
, so is nullable.
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Therefore, anywhere appears, we must consider the option of omitting it.
Step 2: Modify productions
From
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If remains:
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If vanishes:
So now we have:
From
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First rule:
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If the middle :
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If it remains: keep
-
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Second rule : this is the ε-production we will remove later.
So
Step 3: Remove ε-productions
We delete , since we’ve already accounted for it by adding alternatives.
✅ Final Grammar (without ε-productions)
Check
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Original grammar generates: .
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New grammar still generates:
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(for )
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(via )
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(via nested )
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and so on. ✅
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So the language is preserved.
Example
Original grammar
S → A B a C1. Find nullable variables
A variable is nullable if
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⇒ B nullable.
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⇒ C nullable.
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and B,C nullable ⇒ A nullable.
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⇒ D not nullable.
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contains terminal
a
so S not nullable.
Nullable set: {A, B, C}.
2. Remove ε-productions — add alternatives by omitting nullable variables
Handle S → A B a C
A, B, C are nullable. Consider all ways to keep/omit them but keep the terminal a
. This yields:
Handle A → B C
Both B and C nullable, so include:
(We do not re-introduce A → ε
because A
is not the start symbol; only S→ε
would be preserved if originally S were nullable.)
Handle B and C
Remove their ε-rules and keep terminal rules:
B → b
C → D
D → d
3. Resulting grammar with no ε-productions
S → A B a C | B a C |A a C | A B a | a C | B a |A a | a
A → B C | B |C
B → b
C → D
D → d
No ε-productions remain.-
Language is preserved (e.g.,
S → a
is present since original could producea
). -
Next usual simplification steps (optional): eliminate unit productions (rules of the form
X → Y
) and then remove any useless symbols if present.
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