Overview
Scannerless Parsing is a parsing method that turns token streams and grammar rules into parser states, syntax structures, or recovery decisions. It keeps syntax handling explicit, which makes grammars and parser failures easier to debug.
ExtendedSource checked
Scannerless Parsing
Scannerless Parsing turns grammar rules and token streams into structured syntax.
Quick Facts
Compact metadata for implementation and discovery.
- Category
- Parsing
- Difficulty
- Intermediate
- Family
- Parsing
- Tier
- Extended
- Status
- Verified
- Review
- Source Checked
- Sources
- 1
- Formulas
- 0
- Relationships
- 1
- Code example
- Ready
- Visualization
- Ready
Core Concepts
grammar ruletoken streamparser stateparse state
Quick facts
Complexity
Runtime and memory behavior at a glance.
Best
O(n)
Average
O(n)
Worst
O(n^3)
Space
O(n)
When to Use
- Use Scannerless Parsing when the grammar and input form match the parser strategy.
- Use it when parse behavior should be reproducible from grammar and token definitions.
When Not to Use
- Avoid when the grammar style conflicts with the parser's assumptions.
- Avoid when grammar errors need rich diagnostics that the method cannot provide without extra work.
What It Does
- Recognizes valid syntax
- Builds parser state from grammar rules
- Produces a parse structure or error
Use Cases
- Compilers
- Interpreters
- Configuration formats
Inputs
- Grammar or token rules
- Input text or token stream
- Parser state
Outputs
- Parse tree
- Syntax tree
- Accepted or rejected input
Pseudocode
- 1.Build grammar, automaton, table, or parser state
- 2.Read the next token from the input
- 3.Apply the matching production, transition, or recovery rule
- 4.Update the parse stack or syntax structure
- 5.Return the parse result or error
Canonical Example
- Input
- tokens = [identifier, plus, number]
- Output
- parse tree or syntax error
- Explanation
- Scannerless Parsing consumes tokens using grammar state and returns the recognized syntax structure.
Implementation Notes
- Keep grammar transformations, parse tables, and token definitions generated from one source.
- Add small invalid-input tests as well as successful parses.
Common Pitfalls
- Letting grammar changes and parser tables drift apart causes misleading errors.
- Forgetting ambiguity or lookahead limits can produce parses that look valid but mean the wrong thing.
Interactive Mechanism Walkthrough
Sequence Window & Automaton AlignmentShow tokens being consumed while parser states, stacks, or syntax nodes are updated.
Input:ABABABCABAB
Window:ABAB
Step 1 of 5: Build grammar, automaton, table, or parser state
parsingNotes
Scannerless Parsing operates in O(n) time and O(n) space within the Parsing family. Often compared with Recursive Descent Parsing and LR Parsing.
Sources (1)
What each reference supports for this entry.
Parsing Techniques: A Practical Guide
BookParsing reference for scannerless parsing and grammar rules that combine lexical and syntactic recognition.
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Good next jumps from the relationship graph, ranked for useful discovery.
Relationships
View full relationship pageConceptual neighborRecursive Descent Parsing
Scannerless Parsing and Recursive Descent Parsing address nearby parsing problems but make different implementation tradeoffs.
Related Algorithms
Tags
Parsing