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Questions and Answers
The string 'aaa' is ______.
The string 'aaa' is ______.
rejected
The language accepted is L = { ______ }.
The language accepted is L = { ______ }.
aa
In the example of another NFA, the accepted language includes { ______, abab, ababab,... }.
In the example of another NFA, the accepted language includes { ______, abab, ababab,... }.
ab
The automaton halts and produces a 'reject' output when ______ cannot be consumed.
The automaton halts and produces a 'reject' output when ______ cannot be consumed.
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The symbols represented in the state transition diagram include ______ and 'l'.
The symbols represented in the state transition diagram include ______ and 'l'.
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A sequence of inputs like 'ab' would lead the automaton to a ______ state.
A sequence of inputs like 'ab' would lead the automaton to a ______ state.
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In NFA examples, the transition from q0 to q1 is triggered by the input symbol ______.
In NFA examples, the transition from q0 to q1 is triggered by the input symbol ______.
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The state transition diagram is a visual representation of how the ______ navigates through states.
The state transition diagram is a visual representation of how the ______ navigates through states.
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A language L is accepted by DFA M if L M = L, where M is denoted as a ____.
A language L is accepted by DFA M if L M = L, where M is denoted as a ____.
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For a DFA M = (Q, S, δ, q0, F), the language accepted by M includes all strings w such that δ(q0, w) is in ____.
For a DFA M = (Q, S, δ, q0, F), the language accepted by M includes all strings w such that δ(q0, w) is in ____.
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The language rejected by M includes strings w such that δ(q0, w) is not in ____.
The language rejected by M includes strings w such that δ(q0, w) is not in ____.
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If S = {a, b}, the empty language is represented as L(M) = { ____ }.
If S = {a, b}, the empty language is represented as L(M) = { ____ }.
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For S = {a, b}, the language of the empty string is denoted as L(M) = { ____ }.
For S = {a, b}, the language of the empty string is denoted as L(M) = { ____ }.
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L(M) = { all strings with prefix ab } indicates that the DFA recognizes strings starting with ____.
L(M) = { all strings with prefix ab } indicates that the DFA recognizes strings starting with ____.
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L(M) = { all binary strings containing substring 001 } shows that the DFA recognizes strings with the ____ 001.
L(M) = { all binary strings containing substring 001 } shows that the DFA recognizes strings with the ____ 001.
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For binary strings without the substring 001, L(M) = { all binary strings ____ substring 001 }.
For binary strings without the substring 001, L(M) = { all binary strings ____ substring 001 }.
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In the NFA, states include q0, q1, and ______
In the NFA, states include q0, q1, and ______
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In the DFA, the initial state is ______
In the DFA, the initial state is ______
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The transition from state q1 with input 'b' goes back to ______
The transition from state q1 with input 'b' goes back to ______
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The ______ is the first phase of a compiler.
The ______ is the first phase of a compiler.
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A ______ is a sequence of characters in the source program that matches the pattern for a token.
A ______ is a sequence of characters in the source program that matches the pattern for a token.
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The equivalent DFA for the NFA has states represented in the ______ set.
The equivalent DFA for the NFA has states represented in the ______ set.
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The final states of the DFA can include both ______ and q2.
The final states of the DFA can include both ______ and q2.
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The output of the Lexical Analyzer is a sequence of ______ for each lexeme.
The output of the Lexical Analyzer is a sequence of ______ for each lexeme.
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The transition function in an NFA is denoted as ______.
The transition function in an NFA is denoted as ______.
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A ______ describes the form that the lexemes of a token may take.
A ______ describes the form that the lexemes of a token may take.
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The trap state is represented by ______ in the DFA.
The trap state is represented by ______ in the DFA.
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The Lexical Analyzer groups input characters into ______.
The Lexical Analyzer groups input characters into ______.
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The input for general conversion is an ______ M.
The input for general conversion is an ______ M.
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The token names are the input symbols that the ______ processes.
The token names are the input symbols that the ______ processes.
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An example of a numeric constant token is ______.
An example of a numeric constant token is ______.
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The token for an arithmetic operator may include symbols such as ______, *, -, or /.
The token for an arithmetic operator may include symbols such as ______, *, -, or /.
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L(L Σ D)* is the set of all strings of letters and digits beginning with a ______.
L(L Σ D)* is the set of all strings of letters and digits beginning with a ______.
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D+ is the set of all strings of one or more ______.
D+ is the set of all strings of one or more ______.
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An Integer Constant token is defined as at least one decimal ______, followed by zero or more additional digits.
An Integer Constant token is defined as at least one decimal ______, followed by zero or more additional digits.
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An identifier consists of one letter followed by zero or more of either letters or ______.
An identifier consists of one letter followed by zero or more of either letters or ______.
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The expression '(r) | (s)' denotes the language L(r) ______ L(s).
The expression '(r) | (s)' denotes the language L(r) ______ L(s).
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The unary operator * has ______ precedence and is left associative.
The unary operator * has ______ precedence and is left associative.
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Concatenation has ______ precedence and is left associative.
Concatenation has ______ precedence and is left associative.
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The regular expression a | b denotes the language {a, ______}.
The regular expression a | b denotes the language {a, ______}.
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The extended transition function is applied on ______.
The extended transition function is applied on ______.
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In the function δ(q0, ab), the resulting states are {q2, q3, ______}
In the function δ(q0, ab), the resulting states are {q2, q3, ______}
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A special case states that for any state q, q is in ______(q, l).
A special case states that for any state q, q is in ______(q, l).
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The language accepted by an NFA M is denoted as ______(M).
The language accepted by an NFA M is denoted as ______(M).
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In the expression δ(q0, wm), qk is an accepting state if qk is in ______.
In the expression δ(q0, wm), qk is an accepting state if qk is in ______.
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The walk from state qi to qj is represented with the label ______.
The walk from state qi to qj is represented with the label ______.
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The function δ(q0, aa) produces the states q4 and ______.
The function δ(q0, aa) produces the states q4 and ______.
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The variable F is defined as {q0, ______}.
The variable F is defined as {q0, ______}.
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Study Notes
Chapter Two: Lexical Analysis
- Lexical analysis is the first phase of a compiler
- It reads the source program's characters
- It groups them into lexemes
- It outputs tokens for each lexeme
- The parser utilizes these tokens for syntax analysis
- This phase constructs tables, including a symbol table (identifiers) and a table of numeric constants
- Separating lexical analysis simplifies compiler design and implementation, improving portability
The Role of the Lexical Analyzer
- Acts as the front-end of a compiler
- Reads and parses the source program
- Groups characters into lexemes
- Produces a sequence of tokens for each lexeme
- The parser uses these tokens for syntax analysis
- Constructs tables of identifiers (symbol table) and numeric constants
- Key reasons for separating the phase:
- Simplifies compiler design
- Improves efficiency
- Enhances portability
The Interaction of the Lexical Analyzer with the Parser
- The lexical analyzer sends tokens to the parser
- The parser receives tokens to perform syntax analysis
- Error messages can be sent back to the lexical analyzer for error handling
Tokens, Patterns, and Lexemes
- A token is a classification of lexical units. A token consists of:
- A token name
- An optional attribute value
- Examples: keyword, identifiers, and numbers.
- Token names are input symbols that the parser will process
- A pattern is a description of the form of lexemes within a token
- Example: "letter followed by letters and digits"
- A lexeme is a sequence of characters in the code that matches the token's pattern, and is identified by the lexical analyzer
- Examples of tokens, their descriptions, and sample lexemes are shown
Specification of Tokens
- Regular expressions are used to specify patterns for lexemes
- They are effective in specifying patterns needed for tokens
- These expressions are used by lexical analyzer generators
- These expressions are converted to automata for recognizing specified tokens
Alphabets
- In discrete math, a set is a collection of unique objects.
- Each element is listed only once and can be ordered.
- A set can have an infinite number of elements
- The empty set contains no elements, denoted as {} or Φ
Alphabets (continued)
- An alphabet is a finite, non-empty set of symbols.
- Examples:
- Set of decimal numbers: Σ = {0, 1, 2, ..., 9}
- Set of binary numbers: Σ = {0, 1}
- Set of upper-case English letters: Σ = {A, B, ..., Z}
- Set of lower-case English letters: Σ = {a, b, ..., z}
Strings
- A string (or word) is a finite sequence of symbols from a given alphabet.
- Examples:
- If Sigma(Σ) = {a, b}, then abba is a string over the alphabet Σ.
- The order of elements in a string matters
- The length of a string (|w|) is the number of its symbols
- The empty string (ɛ or λ or γ) has zero occurrences of symbols
Strings (continued)
- The set of all strings over an alphabet Σ, including the empty string, is denoted by Σ*.
- Examples:
- If Σ = {0, 1}, Σ* = {ɛ, 0, 1, 00, 01, 10, 11, 000, ...}
- A non-empty string set from Σ is denoted by Σ+
- Concatenation of two strings w₁ w₂ is the string composed by copying w₁ and copying w₂ after it
- Exponentiation of string w is defined for any integer i ≥ 0
- The reverse of a string w is denoted as wR
- Common string-related terms include prefix, suffix, substring, and subsequence.
Languages
- A language is a set of strings chosen from a particular alphabet.
- Σ* is a notation for a language in general.
- The empty language is denoted by {} or ∅.
- The language containing only the empty string is denoted by {ε}.
Languages (continued)
- Natural languages are spoken by people (English, Spanish)
- Programming languages are formal language (C, Java)
- Languages expressed with formal specifications are used in computers
Languages (continued)
- Common language operations:
- Union
- Concatenation
- Kleene closure (also called star closure)
- Positive closure
Regular Expressions
- An integer constant token can be defined as: "at least one decimal digit, followed by zero or more additional digits"
- Regular expressions are represented in a compact notation
- Use "*" to denote zero or more instances of a character (Kleene star)
- Use "|" to express alternation between character options within an expression
Regular Expressions (continued)
- Precedence of operators:
-
*
(Kleene star) has highest precedence. - Concatenation has medium precedence.
- Union (|) has lowest precedence.
- All operators are left associative
-
Regular Expressions (continued)
- Regular expressions are a formal notation for language patterns.
- These expressions specify the formal grammar for tokens
Regular Definitions
- A regular definition is a sequence of definitions, where each definition assigns a new symbol to a regular expression.
- Each new symbol can appear in subsequent expressions.
Regular Definitions (continued)
- Example definitions:
- Examples include for identifiers and possible numeric formats
Regular Expressions (continued):
- Extended Regular Expressions:
- One or more instances:
(r)+
- Zero or one instances:
r?
- Character classes:
[abc]
- One or more instances:
- Examples of applications in practice are to improve the efficiency of the formal specifications of regular expressions
Recognition of Tokens
- Starting point: the grammar of the programming language
- Formalize the patterns using regular expressions
- Implement using transition diagrams (finite automata)
Recognition of Tokens (continued)
- Handle whitespace (ws) with suitable notation
- Summary of lexical analyzer goal using tokens, names, and attribute values
Finite Automata (FA)
- A finite automaton (FA) is a mathematical model for recognizing patterns in strings
- Can be deterministic or nondeterministic
- The finite state machine (FSM) is a theoretical model of computation
- Has a fixed number of states
- Moves through states based on input symbols
Finite Automata (FA) (continued)
- Input tape: contains the input string to be processed
- Finite automaton: processes the input string for recognition
- Output: indicates acceptance or rejection of the input
Finite Automata (FA) (continued)
- Types of finite automata:
- Deterministic finite automata (DFA)
- Nondeterministic finite automata (NFA)
Finite Automata (FA) (continued)
- Designing an FA:
- Analyze the patterns/strings the automata should accept
- Ensure an output state exists for each possible input symbol on each possible state
- Make sure there is one starting state and at least one accepting state that the input gets to
- Use a transition diagram (graph) to represent the possible transitions
Finite Automata (FA) (continued):
- An NFA can consume the empty string during a state transition
Finite Automata (FA) (continued):
- Representation:
- Can be represented using a transition table
- Implementation details:
- Use arrays to represent transition table contents
Finite Automata (FA):
Transition diagrams for specific tokens (reserved words, identifiers, numbers) and whitespace.
Regular Languages
- A language is regular if there exists a DFA that accepts the language
- Examples of regular languages are provided
Nondeterministic Finite Automata (NFA)
- An NFA is a variation of finite automata where a transition can happen in parallel, or multiple transitions on the same symbol are possible.
- NFAs may have a lambda transition, where no input symbol is consumed (transition happens without consuming input symbol)
NFA Procedures
- Follow NFA rules to determine when an NFA accepts input, otherwise reject
- String is accepted if an accepting state is encountered
Equivalence of Machines (NFA and DFA)
- If both machines (NFA and DFA) represent the same formal language (L) then the machines are said to be equivalent.
Conversion of NFA to equivalent DFA
-
Step 1: Start by defining the initial state of the equivalent DFA based on the initial state of the NFA
-
Step 2: Create new states from the set of states in the NFA. Calculate the 8* transition function for each state (e.g., δ* (q0, a) = {q1})
-
Step 3: Repeat Step 2 for each state to generate an equivalent state transition table to the resulting DFA.
-
Step 4: Determine the final states based on the NFA's accepting states. Any state with an NFA accepting state will be made an accepting state in the corresponding DFA
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Description
Test your understanding of automata theory concepts, particularly focusing on Non-deterministic Finite Automata (NFA). This quiz covers topics like language acceptance, state transitions, and the representation of languages. Dive into the fundamental aspects that define the behavior of automata.